Cyberspace: Jurnal Pendidikan Teknologi Informasi
Journal Title : Cyberspace: Jurnal Pendidikan Teknologi Informasi Portal ISSN : 2598-2079 (Print) | 2597-9671 (Online) DOI Prefix : Prefix 10.22373 by Crossref Editor in Chief : Mira Maisura, M.Sc. Publisher : Universitas Islam Negeri Ar-Raniry Frequency : Biannual (April and October) Citation Analysis : Sinta | Google Scholar Cyberspace: Jurnal Pendidikan Teknologi Informasi is an open access, peer-reviewed journal that will consider any original scientific article that expands the field of information technology education and various other related applied computer sciences themes. The journal publishes articles of interest to Information technology teachers, researchers and practitioners. Manuscripts must be original and educationally interesting to the audience in the field. The goal is to promote concepts and ideas developed in this area of study by publishing relevant peer-reviewed scientific information and discussion. This will help information technology practitioners to advance their knowledge for greater benefit and output in their professional contexts. Cyberspace: Jurnal Pendidikan Teknologi Informasi Journal has been accredited by the Decree of the General Director of Strengthening Research and Development, Ministry of Research, Technology, and Higher Education (Kemenristek - BRIN) of the Republic of Indonesia Number 72/E/KPT/2024 (SINTA 4). This accreditation is effective from Vol 7 No 1 (March 2022) to Vol 11 No 2 (October 2027). Cyberspace is under the management of the Information Technology Education (PTI) Department. Cyberspace Office Address: Information Technology Education (PTI) Department administration office, Faculty of Education and Teacher Training (FTK) Building B 1st Floor, Ar-Raniry State Islamic University, Darussalam, Banda Aceh, 23111. E-mail : jurnal.cyberspace@ar-raniry.ac.id Please submit your article using our online journal system. Cyberspace: Jurnal Pendidikan Teknologi Informasi is Published by Center for Research and Community Service (LP2M) in cooperation with the Department of Information Technology Education, Faculty of Education and Teacher Training, Ar-Raniry State Islamic University, Banda Aceh.
Universitas Islam Negeri Ar-Raniry Banda Aceh
Authors who publish with Cyberspace Journal agree to the following terms: Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Web-Based Employee Performance Evaluation Information System as a Solution for Human Resource Digitalization
Employee performance assessment is a critical component of human resource management in any organization. However, many organizations still rely on conventional spreadsheet-based methods that result in calculation errors, delayed reporting, subjective evaluations, and data manipulation risks. This study presents the development of a web-based employee performance assessment information system using PHP and MySQL. The system accommodates three user roles: administrator, assessor, and employee. Black box testing across sixteen functional scenarios confirmed that all system features operated successfully. The system provides standardized evaluation criteria, automated scoring, real-time reporting, and centralized data storage, significantly improving objectivity, efficiency, and accountability in performance assessments.
Copyright (c) 2026 Meivi Kartikasari, Syntia Widyayuningtias Putri Listio, Bagus Kristomoyo Kristanto, Mahdi Bashroni Rizal https://creativecommons.org/licenses/by-sa/4.0
SIMULATION-DRIVEN METHOD FOR WATER COVERAGE MONITORING FROM MULTI-SENSOR SATELLITE IMAGERY
Monitoring water coverage in intertidal zones is challenging due to the lack of satellite sensors that simultaneously provide both high spatial and high temporal resolution. Landsat offers detailed spatial information but is limited by its 16-day revisit cycle, whereas Himawari-8 provides frequent observations but at coarse spatial scales. Existing multi-sensor fusion approaches, such as STARFM and ESTARFM, attempt to bridge this gap but rely on the assumption of linear or abrupt land cover changes, which is inadequate for capturing the gradual and non-linear dynamics of tidal environments. This study proposes a simulation-driven method to enhance water coverage monitoring by generating reference images that represent varying water height conditions. The approach integrates normalized Landsat OLI and Himawari-8 AHI imagery with digital elevation and tidal models to interpolate Modified Normalized Difference Water Index (mNDWI) values. Through linear interpolation, synthetic reference images are produced for low, medium, and high-water height scenarios, filling temporal gaps and providing additional input for fusion-based monitoring. Results from the Hsiang-Shan Wetland demonstrate that simulated reference images contribute more significantly to accurate water mapping than Himawari-8 data alone. The method improves temporal continuity, enhances the representation of tidal dynamics, and reduces discrepancies in fused outputs. Although the accuracy depends on DEM and tidal model quality, the findings highlight the potential of simulation-driven approaches to strengthen water monitoring frameworks. This method can be extended to support applications in flood mapping, wetland management, and coastal conservation.
simulation-driven, water coverage, multi-sensor satellite, linear interpolation
Copyright (c) 2026 Andriani Putri, Chih-Yuan Huang, Kuo-Hsin Tseng, Tang-Huang Lin, Hayatun Maghfirah; Sri Azizah Nazhifah, Abdurrahman Ridho, Cut Mutia https://creativecommons.org/licenses/by-sa/4.0
An Analysis of Portable Fluxion Usage for Testing WPA/WPA2-Secured Wi-Fi Networks
With the convenience offered by Wi-Fi networks, cybercrimes targeting Wi-Fi passwords have become increasingly prevalent. This study aims to evaluate the effectiveness of using fluxion portable as a tool for testing the security of WPA/WPA2-protected Wi-Fi networks. The research was conducted on a ZTE-F609 router using an action research approach to gain deeper insights into the method’s effectiveness. Fluxion portable operates by leveraging social engineering techniques, wherein attackers create a rogue access point that mimics the legitimate network. Through this social engineering method, unsuspecting users may enter their passwords on the rogue network. The findings indicate that fluxion portable is indeed effective in obtaining Wi-Fi passwords via psychological manipulation, which often goes unnoticed by users. These results highlight significant risks faced by Wi-Fi users, especially in environments lacking additional protections. To mitigate the potential threat of fluxion portable attacks, users are advised to hide their Wi-Fi network from public view or to use routers with enhanced security features, such as whitelist options. These recommendations are expected to improve Wi-Fi security and raise user awareness of existing potential threats.
Copyright (c) 2025 Aulia Syarif Aziz, Reja Anggara Selian https://creativecommons.org/licenses/by-sa/4.0
IoT Dummy Book: A Visual Guide to IoT Concepts and Implementation
The Industrial Revolution 4.0 demands the integration of technological literacy such as the Internet of Things (IoT) into the educational curriculum. However, the main obstacles at the high school/Islamic high school level are the lack of affordable, practical, and context-appropriate IoT training media, limited school infrastructure, and competent resources. This study aims to develop an IoT dummy boom that can be used as a suitable IoT training media for use in learning. The development method applied is a 4D model with stages of define, design, develop, and dissemination. The use of the 4D model ensures quality control of the media. The results of the media feasibility test obtained an average value of 4.414 (on a Likert scale), which indicates that 92.45% of the total respondents agreed that the media is very suitable and feasible to use.
Copyright (c) 2026 Mira Maisura, Cut Putroe Yuliana, Ridwan Ridwan, Fatin Alifa, Chairunnisa Maulidza https://creativecommons.org/licenses/by-sa/4.0
Optimization of Fetal Head Segmentation Based on U-Net via Ultrasound Image Preprocessing
Fetal Head Circumference (HC) measurement using Ultrasound (USG) imagery is a crucial biometric parameter for estimating gestational age and monitoring fetal growth rate. However, automated interpretation is often hindered by speckle noise, low contrast, and blurred object boundaries inherent in USG images. This study aims to optimize the performance of a U-Net architecture with backbone ResNet-34 for fetal head segmentation through image preprocessing and data augmentation techniques. The proposed method integrates Anisotropic Diffusion for noise reduction and CLAHE (Contrast Limited Adaptive Histogram Equalization) to enhance boundary features, alongside geometric augmentations (rotation, flip) and median blur. The model was trained on 799 training images and validation with 80:20 ratio and 200 test images from a public dataset. Results indicate that the proposed preprocessing significantly improves segmentation performance compared to the baseline. The Intersection over Union (IoU) score increased from 0.9440 to 0.9526, and the Dice Similarity Coefficient (DSC) get 0.9757. Although preprocessing visually intensified certain artifacts, it effectively enhanced feature distinctiveness for the model. Based on the segmentation output, biometric estimation was conducted using ellipse fitting. This study concludes that U-Net optimized with Anisotropic Diffusion and CLAHE preprocessing shows significant potential as an assistive tool for medical professionals, enabling faster biometric measurement while maintaining the necessity for clinical verification.
Copyright (c) 2026 Putri Salsabila, Dr. Raihan Islamadina, S.T., M.T. https://creativecommons.org/licenses/by-sa/4.0
PERFORMANCE ANALYSIS OF MACHINE LEARNING AND INDOBERT IN CLASSIFYING SENTIMENTS ON INDONESIA'S FREE NUTRITIOUS MEAL
Natural Language Processing (NLP) is a branch of artificial intelligence that is widely used to analyze whether a sentence contains positive, negative, or neutral sentiment, particularly in the context of expressing opinions in the online environment. This study compares several models to identify the most optimal one, namely Naïve Bayes, Support Vector Machine (SVM), XGBoost, and IndoBERT. The dataset used in this research was obtained from Kaggle and consists of 5,644 data points in the neutral class, 2,934 data points in the positive class, and 2,606 data points in the negative class. Prior to model implementation, the dataset underwent a preprocessing stage that included case folding, cleansing, tokenization, stemming, and stopword removal. Subsequently, the data were trained using the four aforementioned methods. The results indicate that Naïve Bayes achieved an accuracy of 75%, SVM reached 79%, XGBoost obtained 76%, while IndoBERT achieved the highest accuracy at 85%. Therefore, it can be concluded that, using this dataset, IndoBERT performed sentiment classification very effectively.
Copyright (c) 2026 Maulyanda, Sri Azizah Nazhifah, Syafrial Fachri Pane, Irvanizam Irvanizam https://creativecommons.org/licenses/by-sa/4.0
RANGKUMAN PENGGUNAAN METODE MARKER BASED TRACKING DAN MARKERLESS PADA APLIKASI AUGMENTED REALITY
Teknologi Augmented Reality mengalami perkembangan pesat dengan dua pendekatan pelacakan utama yaitu metode marker based tracking dan markerless. Kajian literatur ini menganalisis sebelas implementasi penelitian yang dipublikasikan antara tahun 2020 hingga 2025 untuk mengevaluasi karakteristik performa, keunggulan, serta keterbatasan kedua metode pelacakan pada berbagai domain aplikasi. Metode marker based tracking mendemonstrasikan akurasi superior dengan tingkat kesalahan di bawah tiga persen dan stabilitas optimal pada lingkungan terkontrol, mencapai tingkat keberhasilan 72,2 hingga 77,8 persen pada berbagai perangkat. Namun terjadi degradasi performa pada jarak ekstensif dan kondisi pencahayaan spesifik. Sebaliknya, metode markerless menawarkan fleksibilitas eksepsional dengan tingkat keberhasilan mencapai 94,4 persen dan adaptabilitas luar biasa terhadap kondisi lingkungan beragam tanpa memerlukan penanda fisik. Metode ini terbukti sangat efektif untuk aplikasi medis, desain interior, pendidikan anatomi, dan manufaktur pintar. Tantangan utama meliputi ketidakstabilan spasial hologram pada pengaturan kompleks dan kebutuhan komputasi lebih tinggi. Inovasi yang mengombinasikan absolute pose regressor dengan visual-inertial odometry telah mereduksi kesalahan hingga lima puluh persen dengan kecepatan inferensi delapan puluh milidetik. Pemilihan metode harus mempertimbangkan kebutuhan akurasi, kondisi lingkungan operasional, keterbatasan perangkat keras, dan kompleksitas implementasi untuk mengoptimalkan efektivitas aplikasi AR.
Copyright (c) 2025 Nurrisma Risma http://creativecommons.org/licenses/by-sa/4.0
PENGEMBANGAN MEDIA PENGENALAN KAMPUS UIN AR-RANIRY BERBASIS VIDEO 360 DERAJAT MENGGUNAKAN VIRTUAL REALITY
The purpose of this study is to replace the less effective method of drawing plan media as a campus introduction medium for visitors to UIN Ar-Raniry Banda Aceh. With digital technology increasingly developing, smartphone use can be directed to profitable activities, such as watching videos on YouTube. This 360-degree video was made to introduce the layout of the UIN Ar-Raniry campus building more interesting and interactive for visitors. This study uses research and development research methods and involves 50 visitors to the UIN Ar-Raniry campus as respondents. The results of the evaluation showed that 100% of media experts rated this 360-degree video as very feasible as a campus introduction medium, while visitor responses showed an average of 96,4% in the category of "Very Good". The high video resolution, ease of operation, and clear explanations in each building that is passed make this 360-degree video effective in increasing the final understanding of UIN ar-raniry. With positive responses from experts and visitors, this 360-degree video has great potential to be used as an innovative and interesting campus introduction medium, helping UIN ar-raniry students understand the layout of the campus building in a more interactive and fun way.
Copyright (c) 2025 Naufal Maulana http://creativecommons.org/licenses/by-sa/4.0
WEB-BASED E-BUNDLE APPLICATION FOR PUPR DEPARTMENT PERSONNEL
Abstract Banda Aceh City's Public Works and Spatial Planning (PUPR) Department still handles personnel documents by hand using archive bundles. This presents a number of problems, including the possibility of losing crucial documents like employee biodata and decrees (SK), file accumulation, and search difficulties. In order to address these issues, the goal of this project is to develop and construct E-Bundel Staffing, a web-based personnel information system that supports organized, quick, and secure data administration through the use of the PHP CodeIgniter framework and MySQL database. The research methodology is qualitative and combines a system development approach with a literature review, needs analysis, Entity Relationship Diagram (ERD) database design, application implementation, and black-box software testing. With varying access rights for staff, management, and department heads, the study's findings result in an application that may digitally record employee biodata, decree data, and educational histories. It has been demonstrated that this application increases the efficiency of archive administration at the Public Works and Housing Agency (PUPR) of Banda Aceh City, speeds up data retrieval, and reduces the possibility of document loss. Furthermore, This program facilitates the digitalization of local government administration by offering users convenient, real-time, and adaptable access to information at any time and from any location, depending on their needs. This approach improves the overall performance of the organization by making the personnel management process more accountable, transparent, and effective. Additionally, by introducing information technology applications in the public sector, this research helps to set the stage for other government agencies to establish personnel information systems. As a result, the findings of this study have academic value as a reference in the field of informatics, especially with regard to the deployment of web-based information systems to support contemporary and sustainable personnel administration governance, in addition to offering the PUPR Agency of Banda Aceh City practical advantages.
Copyright (c) 2025 Muhammad Zilfandy Ulya, Mahendar Dwi Payana http://creativecommons.org/licenses/by-sa/4.0
THE IMPLEMENTATION ANALYSIS OF WORDWALL GAME BASED LEARNING ON LEARNING MOTIVATION IN CLASS X TKJ 1 STUDENTS SMKN 1 KENDIT
In today's digital era, the development of information and communication technology has brought changes in various aspects of life, including education. Technology is not only a tool, but also an inseparable part of the learning process. The problem that occurs in class X TKJ 1 SMKN 1 Kendit is the low learning motivation of students caused by the monotonous and uninteresting learning process. This is seen from the lack of student participation in asking and answering questions. In addition, the monotonous model of questions also triggers boredom in students and does not provide variety and appeal to students. One media that can be used is a Wordwall-based game-based learning media designed to increase student engagement and learning motivation. The purpose of this study is to implement Wordwall - based game-based learning media in the learning process and determine its effectiveness in increasing the learning motivation of class X TKJ 1 SMKN 1 Kendit students. The approach used in this study is a qualitative approach with an interactive qualitative research type. In this study, the type of interactive qualitative research used is a case study, with a purposive sampling technique. Data collection techniques used are observation, interviews, and documentation. The data analysis techniques used include data collection in the field, data reduction, data presentation, as well as drawing conclusions and verification. The results of the study indicate that students are more motivated and interested in learning with this Wordwall media. The implementation of Wordwall-based game-based learning creates a fun learning atmosphere, and adds new insights and experiences, so that students' learning motivation increases. So, it can be concluded that the implementation of Wordwall -based game-based learning media is effective and appropriate to be implemented in the Basics of Computer Network Engineering and Telecommunications in class X TKJ 1 SMKN 1 Kendit.
Copyright (c) 2025 Dyan Yuliana, Malika Khoiriyah, S.Pd, Siti Seituni, S.Pd.I., M.Pd.I http://creativecommons.org/licenses/by-sa/4.0
ETIKA PENGGUNAAN CHATGPT DALAM PENDIDIKAN DAN EKONOMI ISLAM: TINJAUAN MAQASID AL-SHARI’AH
Abstract This study examines the ethical implications of ChatGPT usage in Islamic higher education, especially within the domains of Islamic economics and Sharia-based finance. As generative AI tools gain popularity among students and educators, they present both educational support potential and ethical challenges - including risks of plagiarism, diminished critical thinking, religious misinformation, and excessive technological dependence. Adopting a qualitative exploratory approach, this research integrates library studies with expert interviews involving scholars in Islamic economic thought and Islamic banking. To enrich the analysis, a machine learning-based text similarity comparison was conducted between ChatGPT’s responses and expert opinions on selected topics. This comparative analysis quantitatively measured content alignment, revealing high levels of similarity (85–90%) in Sharia banking discourse and over 90% in Islamic economic fundamentals. The study employs both thematic analysis and normative evaluation grounded in Maqasid al-Shari’ah, focusing on the preservation of religion (ḥifẓ al-dīn), upholding intellectual integrity (ḥifẓ al-ʿaql), and protection of the soul/life (ḥifẓ al-nafs). The results demonstrate that ChatGPT can be a valuable academic support tool, yet it must be used with critical supervision and scholarly validation. The paper concludes by emphasizing the urgent need for Islamic higher education institutions to develop AI ethics guidelines that are contextually rooted in Sharia principles, ensuring that AI integration enhances rather than compromises Islamic educational integrity.
Copyright (c) 2025 Fitria Nilamsari, Wahyu Ichsan, Rinny Asasunnaja, Fathia Sabrina http://creativecommons.org/licenses/by-sa/4.0
Comparative Evaluation of NDVI-Based Vegetation Classification Using Rule-Based Thresholding and Random Forest Models
This study aims to compare vegetation classification performance using NDVI derived from Sentinel-2A and Landsat 8 satellite imagery through two different approaches: rule-based classification and machine learning with the Random Forest algorithm. The rule-based approach applies a fixed NDVI threshold of 0.45 to distinguish vegetation and non-vegetation areas. In contrast, the Random Forest model was trained using 70% of the labeled data and tested on the remaining 30%, with NDVI values from both satellite sources as input features. The evaluation results show that the Random Forest model achieved perfect classification accuracy (100%). However, this may be due to using the same labeled dataset for both training and validation, which can lead to overfitting. On the other hand, the rule-based classification yielded an accuracy of 79.7%. This lower performance is likely caused by several factors, including the resolution differences between Sentinel-2 and Landsat 8 imagery, and the subjectivity involved in selecting the NDVI threshold value. The manual threshold setting may lead to bias and a higher number of misclassified pixels. Therefore, while rule-based methods are simple and interpretable, they are less robust. Machine learning approaches, such as Random Forest, offer more flexible and accurate classification when supported by properly separated training and validation datasets.
Copyright (c) 2025 Sri Azizah Nazhifah, Maulyanda, Andriani Putri, Usfita Kiftiyani http://creativecommons.org/licenses/by-sa/4.0
DESIGN OF WEB-BASED DAILY REPORT APPLICATION FOR ACEH REGIONAL POLICE ICT FIELD USING DEVOPS METHOD
The advancement of information technology has driven the digitalization of administrative systems in various institutions, including law enforcement agencies. Currently, the daily reporting process at POLDA Aceh is still conducted manually, leading to issues such as delays, data inaccuracies, and difficulties in inter-unit coordination. This study aims to design and develop a web-based daily report application to enhance efficiency, transparency, and accountability in reporting. The DevOps methodology is applied in the development of this application to integrate the development and operational processes more efficiently. The use of PHP, MySQL, and CSS-based technology enables key features such as an interactive dashboard, digital report forms, advanced search and filtering, and account and unit management. A CI/CD (Continuous Integration/Continuous Deployment) pipeline is implemented to accelerate system updates and ensure application stability through automated testing and real-time performance monitoring. Testing results indicate that this application significantly improves reporting speed, minimizes recording errors, and facilitates better data access and management. The implementation of this system has positively impacted the operational effectiveness of POLDA Aceh, particularly in enhancing data-driven law enforcement services. Thus, this web-based daily report application is expected to serve as an innovative solution for digitalizing the reporting system within the police force.
Copyright (c) 2025 Reza Muksalmina http://creativecommons.org/licenses/by-sa/4.0
PENINGKATAN HASIL BUDIDAYA IKAN LELE MELALUI PENGENDALIAN KUALITAS AIR DENGAN MICROBUBBLE DAN SISTEM MONITORING IOT
Keberhasilan budidaya perairan bergantung pada kondisi air yang optimal, termasuk kualitas dan kuantitas oksigen terlarut dalam air yang merupakan unsur penting dalam kehidupan akuatik. Tingkat oksigen yang rendah menjadi faktor pembatas serius dalam pertumbuhan dan kesehatan organisme akuatik. Artikel ini bertujuan untuk mengimplementasikan penggunaan teknologi microbubble secara IoT dalam aplikasi akuakultur dengan memastikan kondisi yang optimal bagi organisme akuatik. Penerapan microbubble dalam akuakultur menjanjikan peningkatan signifikan dalam ketersediaan oksigen bagi ikan lele, yang berdampak positif pada pertumbuhan, kesehatan, dan produktivitasnya. Teknologi Internet of Things (IoT) memungkinkan pengawasan kondisi lingkungan secara real-time dari jarak jauh, memungkinkan pengambilan keputusan yang cepat dan tepat dalam respons terhadap perubahan kondisi lingkungan. Metode yang digunakan pada penelitian ini adalah pengujian dari 3 sensor yaitu DS18B20, pH, dan DO yang masing-masing mengukur suhu, pH, dan kadar oksigen dalam air. Selanjutnya data dikirim ke aplikasi blynk dan diprogram pada Raspberry Pi. Hasil yang didapat menunjukkan bahwa pertumbuhan lele selama 10 hari meningkat sebanyak 30% dibandingkan dengan akuarium tanpa sistem microbubble.
Copyright (c) 2025 Fajrul Islamy, Muhammad Fauzan, Indra Sakti, Roslidar Roslidar http://creativecommons.org/licenses/by-sa/4.0
DINAMIKA PENGGUNAAN TEKNOLOGI DALAM PEMBELAJARAN PASCA PANDEMI: PERSPEKTIF MAHASISWA DAN DOSEN
Penelitian ini bertujuan untuk menganalisis perubahan pola penggunaan teknologi dalam pembelajaran sebelum, selama, dan setelah pandemi, serta faktor-faktor yang memengaruhi penurunan penggunaan teknologi pascapandemi di kalangan mahasiswa dan dosen. Pendekatan kuantitatif dan kualitatif digunakan untuk mengumpulkan data melalui kuesioner dan wawancara terhadap 115 mahasiswa pendidikan bisnis dan 8 dosen dari berbagai prodi. Hasil penelitian menunjukkan bahwa sebelum pandemi, 40% responden menggunakan teknologi secara moderat hingga intensif, yang meningkat menjadi 95% selama pandemi, tetapi menurun kembali menjadi 55% setelah pandemi. Penurunan ini disebabkan oleh beberapa faktor, seperti digital fatigue (88% mahasiswa dan 87% dosen merasa lelah), preferensi pembelajaran tatap muka (86% mahasiswa merasa lebih nyaman), serta keterbatasan infrastruktur kampus (83% responden mengeluhkan fasilitas yang kurang memadai). Selain itu, kebijakan institusi yang belum sepenuhnya mendukung integrasi teknologi juga menjadi tantangan. Meskipun demikian, mahasiswa dan dosen menyatakan bahwa teknologi tetap penting sebagai pelengkap pembelajaran hybrid, meskipun integrasinya belum optimal. Temuan ini memberikan wawasan penting bagi institusi pendidikan dalam merancang kebijakan dan strategi pembelajaran berbasis teknologi yang lebih efektif di masa depan.
Copyright (c) 2025 Danny Ajar Baskoro, Nadia Amelia Elyana Poluan http://creativecommons.org/licenses/by-sa/4.0
SISTEM REKOMENDASI PEMILIHAN PROGRAM STUDI BERBASIS HYBRID MENGGUNAKAN PENDEKATAN DEEP LEARNING
Education plays a critical role in shaping career decisions for the future. However, many students encounter difficulties in selecting suitable academic programs, often stemming from a lack of confidence in their ability to make appropriate decisions. Consequently, students may choose study programs that do not align with their personal characteristics. This study emphasizes the importance of providing comprehensive information about various academic programs offered in higher education and developing tools to assist prospective students in making informed decisions. To address these challenges, a recommendation system using Hybrid Filtering technology has been developed. The system integrates Content-Based Filtering and Collaborative Filtering methods within the TensorFlow Recommenders System (TFRS) framework. The study utilized data from undergraduate students of the Faculty of Mathematics and Natural Sciences (FMIPA) across seven academic programs. By employing 10 features representing students' interests and talents, the recommendation system generated accurate and tailored suggestions for study programs. The model was trained and evaluated using both real and augmented (augmented) datasets with predefined hyperparameters. Results demonstrated that using only the real dataset achieved a Top-1 accuracy of 0.59 and a Top-5 accuracy of 0.97. When incorporating the augmented dataset, the Top-1 accuracy improved to 0.66, while the Top-5 accuracy reached 1.0. The findings reveal that combining real and augmented datasets enhances average accuracy by approximately 10% compared to using the real dataset alone. Additionally, the study program recommendations produced by the model showed significant improvement in quality. A web-based recommendation system utilizing the TFRS model was developed and positively evaluated by FMIPA students. User feedback indicated high satisfaction with the system's recommendations, demonstrating its effectiveness in guiding students toward suitable academic programs.
PENERAPAN HIERARKI CERTIFICATE AUTHORITY DAN PUBLIC KEY INFRASTRUCTURE UNTUK MEMPERKUAT KEAMANAN JARINGAN
Dewasa ini, keamanan jaringan telah menjadi semakin krusial terutama dalam lingkungan bisnis yang saling terhubung secara global. Komunikasi antara kantor cabang dan kantor pusat melalui jaringan global memunculkan risiko seperti pencurian data, pengawasan, dan serangan siber. Hal ini tentu akan menjadi ancaman yang nyata terhadap kerahasiaan dan integritas informasi sensitif perusahaan. Untuk mengurangi risiko ini, penelitian ini mengusulkan implementasi sistem hierarki Certificate Authority (CA) dan Public Key Infrastructure (PKI) dengan memanfaatkan kunci asimetris untuk meningkatkan keamanan. Sistem hierarki CA memastikan langkah-langkah keamanan yang kuat melalui praktik manajemen kunci yang efektif. Tujuan utama dari penelitian ini adalah untuk meningkatkan keamanan jaringan dengan melindungi komunikasi antara kantor cabang dan kantor pusat menggunakan Site-to-Site Virtual Private Network (VPN) yang diimplementasikan dengan teknologi OpenVPN. Pendekatan komprehensif ini melibatkan berbagai metodologi, termasuk simulasi Graphical Network Simulator-3 (GNS3) untuk pengujian arsitektur jaringan, evaluasi ketat terhadap keamanan sertifikat digital, pemantauan lalu lintas yang berkelanjutan, pengujian kinerja jaringan secara menyeluruh, dan protokol keamanan server yang teliti. Hasil yang diharapkan dari penelitian ini diharapkan dapat memberikan wawasan berharga bagi organisasi yang bertujuan untuk mengurangi risiko keamanan jaringan secara efektif. Selain itu, temuan penelitian ini diharapkan dapat memberikan kontribusi signifikan terhadap pengembangan kerangka kerja keamanan jaringan yang disesuaikan dengan kebutuhan lingkungan bisnis yang terhubung secara global.
Copyright (c) 2025 Husaini Husaini, Teuku Hafiez Ramadhan, Mahyus Ihsan
IMLEMENTASI PENETRATION TESTING PADA APLIKASI WEB SISTEM EVALUASI DATA BIDANG TIK POLDA ACEH MENGGUNAKAN METODE OWASP DAN NIST SP 800-115
Abstrak Keamanan sistem informasi merupakan aspek yang perlu diperhatikan. Keamanan informasi terdiri dari 3 aspek yaitu Kerahasiaan, Integritas, Ketersediaan maka dari itu untuk menjaga keamanan informasi tersebut perlu dilakukannya evaluasi dari suatu sistem informasi berupa pengujian penetrasi. Pengujian penetrasi ini bertujuan untuk meningkatkan keamanan sitem informasi. Barkaitan dengan hal tersebut bidang teknologi Informasi dan Komunikasi Polda Aceh telah merancang sebuah sistem informasi berupa Aplikasi berbasis Web yaitu Aplikasi Web Sistem Evaluasi Data. Namun keamanan dari Aplikasi Wseb tersebut perlu diuji untuk mengevaluasi sitem keamananya, maka dari itu perlu dilakukan pengujian penetrasi pada Aplikasi Web tersebut. Pengujian penetrasi pada Aplikasi Web Sistem Evaluasi Data Bidang Teknologi Informasi dan Komunikasi Polda Aceh ini dengan menggunakan metode Open Web Aplications Scurity Project (OWASP) dan metode National Institut Standart Technology Securely Provision 800-115 (NIST SP 800-115). Didalam proses kedua metode ini menggunakan teknik yang sama dalam Information Gathring yaitu teknik Black Box dan terdapat tahapan lainnya yaitu Vulnerabelity Scanning serta Fase Attack khusus untuk metode National Institut Standart Technology Securely Provision 800-115 (NIST SP 800-115). Dari hasil pengujian penetrasi tersebut berhasil ditemukannya beberapa kerentanan pada aplikasi web tersebut dan dijadikan pelaporan untuk meningkatkan sistem keamanan pada sistem informasi tersebut.
Copyright (c) 2025 Syahril - Syahril Handaya
IMPLEMENTASI PENETRATION TESTING PADA SISTEM INFORMASI TRIBRATA POLRES PIDIE MENGGUNAKAN METODE OWASP
Abstract One factor that must be taken into account is information system security, which is comprised of three components confidentiality, integrity, and availability. One area that requires attention is information system security. Since there are three components to information security—confidentiality, integrity, and availability—an information system must be assessed through penetration testing in order to preserve information security. Enhancing the site's information security is the goal of this penetration test. The Pidie Police Tribrata is a system created in this regard by the Pidie Police, the Aceh Regional Police's readiness unit situated in the Pidie Regency information region. However, penetration testing must be done on the Web application in order to assess the information system's security for the site's security. The Open Web Applications Security Project (OWASP) approach is used for penetration testing on the Pidie Police Tribrata information system. From the results of the penetration testing, several vulnerabilities in the web application were found and these were used as reports to improve the security system in the information system. Keywords: Penetration Testing, OWASP, Information Systems. Abstrak Keamanan sistem informasi merupakan aspek yang perlu diperhatikan. Keamanan informasi terdiri dari 3 aspek yaitu Kerahasiaan, Integritas, Ketersediaan maka dari itu untuk menjaga keamanan informasi tersebut perlu dilakukannya evaluasi dari suatu sistem informasi berupa pengujian penetrasi. Pengujian penetrasi ini bertujuan untuk meningkatkan keamanan sitem informasi. Barkaitan dengan hal tersebut polres pidie yang merupakan satuan Kepolisian Polda Aceh yang berada di wilayah Kabupaten Pidie telah merancang sebuah sistem informasi yakni Tribrata Polres Pidie . Namun keamanan dari Sistem Informasi tersebut perlu diuji untuk mengevaluasi sistem keamananya, maka dari itu perlu dilakukan pengujian penetrasi pada Aplikasi Web tersebut. Pengujian penetrasi pada sistem informasi tribrata Polres Pidie ini menggunakan metode Open Web Aplications SeScurity Project (OWASP). Dari hasil pengujian penetrasi tersebut berhasil ditemukannya beberapa kerentanan pada aplikasi web tersebut dan dijadikan pelaporan untuk meningkatkan sistem keamanan pada sistem informasi tersebut. Kata Kunci: Pegujian Penetrasi, OWASP, Sistem Informasi.
ANALYSIS OF LAND SURFACE TEMPERATURE IN THE KRUENG ACEH WATERSHED USING GOOGLE EARTH ENGINE
The constantly changing land surface temperature has implications for agricultural productivity and human health, therefore it is important to observe the land surface temperature to provide information about the characteristics and patterns of a region. The purpose of this research is to determine the changes and spatial patterns of land surface temperature distribution in the Krueng Aceh Watershed in 2013, 2018, and 2023. The method employed in this study involves utilizing the Google Earth Engine platform and MODIS imagery. Land surface temperature data from MODIS imagery is processed using JavaScript programming language, and the results are analyzed to obtain the distribution of land surface temperature. The study results indicate that the land surface temperature in the Krueng Aceh Watershed was 29,11℃ in 2013, increase to 29,5℃ in 2018, and then decreased to 29,19℃ in 2023. The Krueng Aceh Watershed in 2013, 2018, and 2023 exhibits similar spatial patterns and distributions of land surface temperature, with areas in Banda Aceh City experiencing higher temperatures compared to those in Aceh Besar District, which exhibit varying temperatures.
Copyright (c) 2025 Sri Azizah Nazhifah, Yulia Khairunnisa
PENGEMBANGAN MEDIA PEMBELAJARAN ASMAUL HUSNA BERBASIS GAME PADA TPA DARUL JANNAH
Abstrak Dengan Kemajuan ilmu pengetahuan dan teknologi yang menjunjung nilai agama untuk kemajuan peradaban. Teknologi digital, seperti smartphone, mempengaruhi kehidupan anak-anak, sehingga perlu diarahkan untuk manfaat pendidikan. Game edukasi dapat menjadi alat efektif dalam pembelajaran, seperti pengajaran Asmaul Husna yang saat ini masih menggunakan metode konvensional yang kurang menarik. Penelitian ini bertujuan mengembangkan media pembelajaran Asmaul Husna berbasis game untuk TPA Darul Jannah. Temuan Aji Suditomo dan Divi Handoko menunjukkan bahwa 80,8% responden percaya game edukasi Asmaul Husna dapat membantu anak-anak menghafal dengan lebih menyenangkan. Dengan adanya game edukasi ini, diharapkan anak-anak TPA Darul Jannah dapat lebih mudah memahami dan menghafal Asmaul Husna secara interaktif.
Copyright (c) 2025 Muhammad Ouzhika Rahman
ANALISIS TATA KELOLA TEKNOLOGI INFORMASI PADA DISKOMINFO KOTA SABANG MENGGUNAKAN FRAMEWORK COBIT 2019
Penelitian ini bertujuan untuk menganalisis tata kelola teknologi informasi di Dinas Komunikasi dan Informatika (DISKOMINFO) Kota Sabang menggunakan framework COBIT 2019. Tata kelola teknologi informasi yang efektif diperlukan untuk mendukung pelayanan publik yang optimal dan meningkatkan kualitas sistem pemerintahan berbasis elektronik (SPBE). Metode yang digunakan adalah deskriptif analitis, dengan pendekatan kuantitatif untuk mengukur kapabilitas tata kelola. Data dikumpulkan melalui wawancara, observasi, dan studi dokumen pendukung. Hasil penelitian menunjukkan bahwa proses inti yang penting bagi DISKOMINFO Kota Sabang termasuk dalam kategori kapabilitas level 3 dan 4, seperti EDM03 (Ensured Risk Optimization), APO12 (Managed Risk), APO13 (Managed Security), dan BAI10 (Managed Configuration), DSS02 (Managed Service Requests and Incidents), DSS03 (Managed Problems), DSS04 (Managed Continuity), DSS05 (Managed Security), MEA03 (Managed Compliance with External Requirements) dan MEA04 (Managed Assurance). Penelitian ini memberikan rekomendasi bagi DISKOMINFO Kota Sabang untuk meningkatkan kapabilitas tata kelola teknologi informasi dalam mendukung tujuan bisnis dan operasional, serta memastikan bahwa risiko teknologi informasi dikelola dengan baik. Implementasi hasil analisis ini diharapkan dapat membantu meningkatkan kinerja dan kualitas layanan publik yang diberikan oleh DISKOMINFO Kota Sabang.
Copyright (c) 2025 Juwina Mustaqfirah, Ima Dwitawati, Muhammad Syamsu Rizal
PERANCANGAN SMART DOOR LOCK BERBASIS RFID DAN KEYPAD
Security and security are important issues in everyday life. Using simple authentication systems such as mechanical keys has proven vulnerable to breaches. RFID technology and keypads are considerable solutions to this problem. The research aims to design and implement a smart door locking system that combines RFID and keypad technology to enhance room security. System design is based on ease of use, reliability, and security. The system is designed with a higher level of security, i.e. by combining RFID, keypad, and PIR sensors so that to open the door it requires an RFID scan, inserting a pin on the keypad and moving hands or something else to detect movement by the PIR sensor. The evaluation of usability shows that the system is well accepted by users with an average of 4.2 on the 5th scale.
Copyright (c) 2024 Fathiah Fathiah, M. Hafidz Maulana Hafidz
FUSING SATELLITE DATA TO MONITOR SEA LEVEL CHANGES: A DEM-BASED NEAREST NEIGHBOR APPROACH
High spatial and temporal resolution satellite imagery is essential for monitoring rapid environmental changes at finer scales. However, no single satellite currently provides images with both high spatial and temporal resolution. To overcome this limitation, spatiotemporal image fusion algorithms have been developed to generate images with improved spatial and temporal detail. Water level monitoring is also crucial for managing natural hazards like floods and tsunamis, but remote sensing satellites face challenges in continuous monitoring due to either low spatial or temporal resolution. For instance, while Landsat 8, with a spatial resolution of 30 meters, has been used for water level detection, it cannot capture fast-changing events because of its low temporal resolution. Conversely, the Advanced Himawari Imager (AHI) 8 offers observations every 10 minutes but has a coarse spatial resolution, limiting its ability to map sea level changes accurately. This study focuses on integrating Landsat and AHI imagery to monitor local and dynamic sea level changes. The process involves calibrating images from the study area to surface reflectance and co-registering them. The Normalized Difference Water Index (NDWI) is calculated from both Landsat and Himawari-8 images, serving as input for image fusion. In the previous study, the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) is used for image fusion. In this study we use the application of Spatial Temporal Adaptive Algorithm for Mapping Reflectance Change (STAARCH) for the image fusion step. Since traditional methods are influenced by land cover changes, this study proposes a method called DEM-based Nearest Neighbor to select appropriate land cover maps for image fusion. Evaluation results demonstrate that this approach can produce accurate water coverage maps with both high spatial and temporal resolution.
Copyright (c) 2024 Andriani Putri, Sri Azizah Nazhifah, Abdurrahman Ridho, Hayatun Maghfirah, Cut Mutia, Cukri Rahmi Niani http://creativecommons.org/licenses/by-sa/4.0
PERANCANGAN DESAIN 3D SEBAGAI MEDIA PROMOSI PADA MESIN PENETAS TELUR AYAM DENGAN MENGGUNAKAN SOFTWARE BLENDER
Penelitian ini berfokus pada perancangan desain 3D sebagai media promosi untukmesin penetas telur ayam berbasis Internet of Things (IoT) dengan menggunakansoftware Blender. Dengan memanfaatkan teknologi IoT, mesin penetas telur inidirancang untuk meningkatkan produktivitas dan efisiensi dalam proses penetasantelur ayam. Animasi 3D digunakan sebagai alat promosi yang mampu memberikanvisualisasi yang realistis dan informatif mengenai produk, sehingga dapat menarikminat dan pemahaman konsumen. Penelitian ini menggunakan metode Multimedia Development Life Cycle (MDLC) yang meliputi tahapan concept, design, material collecting, assembly, testing, dan distribution. Hasil penelitian menunjukkan bahwaanimasi 3D yang dibuat mendapatkan skor rata-rata 4.27 dari ahli media dan 4.67 dari ahli materi, yang mengindikasikan bahwa animasi ini sangat efektif sebagaimedia promosi. Evaluasi dari para ahli menunjukkan bahwa animasi ini mampumenampilkan produk dengan jelas dan mudah dipahami oleh audiens, mencakupinformasi penting mengenai fungsi dan fitur produk, serta menarik secara visual. Pengujian terhadap 25 responden masyarakat umum juga menunjukkan hasil yang sangat positif dengan rata-rata nilai di atas 4.48 untuk setiap pertanyaan, menandakan bahwa iklan animasi ini sangat menarik, informatif, berkualitas, mudah dipahami, dan efektif dalam mempromosikan produk. Distribusi animasidilakukan melalui platform media sosial seperti YouTube untuk mencapai audiensyang lebih luas. Penelitian ini berhasil menciptakan metode praktis dan perspektifbaru bagi industri peternakan dalam meningkatkan daya saing dan penjualanproduk mesin penetasan telur ayam melalui iklan berbasis animasi 3D yang visual dan informatif.
IMPLEMENTASI SISTEM INFORMASI BERBASIS ANDROID UNTUK PROMOSI DAN PEMASARAN UMKM JAMUR TIRAM
Micro, Small, and Medium Enterprises (MSMEs) are independent businesses owned by individuals or business entities. In Sumberjo Village, most residents are engaged in mushroom farming. The use of communication and information technology facilitates better access and convenience for the community and MSME actors in their marketing activities through electronic commerce (E-commerce). However, the MSMEs of Oyster Mushroom Farmers in Sumberjo Village face challenges with product marketing, as visitors often have difficulty locating the mushroom farms. This finding is based on interviews with several visitors. The village is known for producing a variety of mushrooms. The purpose of this Information System is to facilitate the media for information and promotion for MSMEs of Oyster Mushroom Farmers in Sumberjo Village, and to help market mushroom products, mushroom baglog seeds, and dried mushroom food preparations effectively and easily, both to the general public and online. This system also aids visitors in reaching the mushroom farms. The application was successfully developed using the native Java Android framework and CodeIgniter. It utilizes an API from Raja Ongkir for calculating shipping costs and includes Google Maps to assist visitors in finding the mushroom farms. This application successfully displays product information from the mushroom farmers, enabling them to use this application as a medium for information and promotion effectively.
Copyright (c) 2024 Chaulina Alfianti Oktavia, Risky Dewantara
Klasifikasi Jenis Bunga Dengan Algoritma Convolutional Neural Network (CNN) Menggunakan Metode Region-Based Convolutional Neural Network (R-CNN)
Penelitian tentang "Klasifikasi Jenis Bunga dengan Algoritma Convolutional Neural Network" bertujuan untuk mengembangkan model menggunakan Convolutional Neural Network (CNN) dan Region-BasedConvolutional Neural Network (R-CNN) untuk mengklasifikasikan berbagai jenis bunga anggrek. Dataset terdiri dari gambar-gambar tiga kelas utama anggrek: Anggrek Bulan (Phalaenopsis), Anggrek Dendrobium, dan Anggrek Tanah (Paphiopedilum), dengan sekitar 40 gambar per kelas. Gambar-gambar tersebut dikumpulkan dari berbagai sumber yang tepercaya seperti diperoleh di Dinas Ketahanan Pangan dan Tanaman Pangan dan Hortikultura Provinsi Lampung serta Dinas Ketahanan Pangan, Pertanian dan Perikanan Kota Metro dan para UMKM toko bunga di Provinsi Lampung serta berbagai sumber termasuk database publik, situs web hortikultura, dan koleksi pribadi, untuk mencakup variasi visual dalam setiap kelas. Proses pengumpulan data melibatkan pengambilan dan pengunduhan gambar beresolusi tinggi, pengkategorian dan pelabelan, serta pra-pemrosesan untuk meningkatkan kualitas gambar. Dataset kemudian dibagi menjadi data pelatihan dan pengujian dalam rasio 70:30 untuk melatih dan mengevaluasi performa model. Dengan memanfaatkan teknik lanjutan dalam pengumpulan data, pra-pemrosesan, dan analisis, penelitian ini bertujuan untuk mengembangkan model yang tangguh mampu mengklasifikasikan spesies bunga anggrek secara akurat berdasarkan karakteristik visualnya.
ANALISIS QUALITY OF SERVICE JARINGAN INTERNET 4G DENGAN PARAMETER THROGHPUT, DELAY DAN JITTER PADA KECAMATAN SEULIMEUM KABUPATEN ACEH BESAR
Pengujian penelitian ini adalah untuk mengetahui sifat jaringan seluler di wilayah Kecamatan Seulimeum Aceh Besar, dengan melakukan penelitian pengukuran berdasarkan sinyal jaringan provider Telkomsel, Tri, dan XL Axiata dengan analisis Quality of Service (QoS) dengan mencakup estimasi batas throughput, delay, dan jitter menggunakan aplikasi nPerf. Penelitian dilakukan dengan menggunakan metodologi pendekatan survei lapangan untuk menentukan area dengan kapasitas untuk berfungsi sebagai situs pengamatan yang ditunjuk untuk memantau kecepatan, keandalan, dan integritas konektivitas internet. Hasil penelitian ini menunjukkan kualitas yang dihasilkan throughput secara keseluruhan di wilayah Kecamatan Seulimeum Aceh Besar, yaitu dengan rata-rata 67.90 Mbps, menunjukan bahwa kualitas throughput termasuk kedalam indeks 4 dan kategori sangat bagus menurut standar TIPHON. Kualitas yang dihasilkan delay secara keseluruhan di wilayah Kecamatan Seulimeum Aceh Besar, yaitu dengan rata-rata 110 ms, menunjukan bahwa kualitas delay termasuk kedalam indeks 4 dan kategori sangat bagus menurut standar TIPHON. Dan kualitas yang dihasilkan jitter secara keseluruhan di wilayah Kecamatan Seulimeum Aceh Besar, yaitu dengan rata-rata 182 ms, menunjukan bahwa kualitas jitter termasuk kedalam indeks 2 dan kategori sedang menurut standar TIPHON. Jika di tinjau analisis secara keseluruhan Quality of Service pada ketiga provider di wilayah Kecamatan Seulimeum Aceh Besar, termasuk kedalam indeks 3 dan kategori memuaskan menurut standar TIPHON.
DEVELOPMENT OF THE ANDROID-BASED SINGLE-PLAYER GAME COOKING CHAOS
Cooking is the process of preparing food from its raw state until it is ready to be served, using heat to make it easier for the body to digest. However, nowadays, many teenagers lack an understanding of how to cook due to limited practice and a tendency to buy food from outside, which is considered more convenient. High levels of activity outside the home also contribute to the decreasing frequency of cooking among teenagers. Additionally, the convenience offered by food delivery applications, coupled with various attractive promotions, further contributes to the decline in interest in cooking. To address this issue, an educational single-player game application based on Android was developed, utilizing Unity 3D as the game engine and Blender for 3D object modeling. This application is designed to provide a more detailed cooking experience by offering 11 recipes that users can learn. Moreover, there is a mini-game in the form of a quiz to test users' understanding of the cooking process. Testing results show that this application successfully increased users' interest in learning to cook by 80.3%.
IMPLEMENTASI METODE VIOLA-JONES DAN YOLOV9 UNTUK MENDETEKSI WAJAH BERGERAK MENGUNAKAN OPENCV
Penelitian ini mengimplementasikan metode Viola-Jones dan YOLOv9 untuk mendeteksi wajah bergerak menggunakan OpenCV. Penelitian ini menggunakan total dataset yang terdiri dari 1.250 citra wajah untuk metode Viola-Jones, dan 1.205 citra untuk model YOLOv9. Dataset YOLOv9 dibagi kedalam tiga kategori: train (83% atau 1.000 citra), valid (12% atau 145 citra), dan test (5% atau 60 citra). Metode yang diterapkan dalam penelitian ini adalah metode viola-jones dan YOLOv9 untuk mendeteksi wajah bergerak menggunakan OpenCV. Metode Viola-Jones dipilih karena kecepatan dan akurasinya dalam deteksi wajah, sedangkan YOLOv9 dipilih karena kemampuan deteksinya yang canggih dan efisien. Pelatihan model YOLOv9 dilakukan sebanyak empat kali percobaan dengan membandingkan parameter epoch untuk menghasilkan akurasi terbaik. Dari empat kali percobaan, parameter yang menghasilkan akurasi terbaik menggunakan epoch 100 pada batch 16. Metode Viola-Jones berhasil mendeteksi 1.204 dari 1.250 gambar wajah, menghasilkan akurasi, precision, dan recall masing-masing sebesar 96%, serta F1-Score sebesar 97%. Untuk model YOLOv9, hasil pengujian menggunakan confusion matrix menunjukkan bahwa pendeteksi wajah mencapai tingkat precision sebesar 95%, recall sebesar 98%, dan mAP50 sebesar 99%. Berdasarkan hasil ini, dapat disimpulkan bahwa implementasi kedua metode tersebut efektif untuk mendeteksi wajah bergerak dengan tingkat akurasi dan performa yang tinggi.