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Jurnal Komputer
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Domain Specific Frameworks and Applications IT Management dan IT Governance e-Government e-Healthcare, e-Learning, e-Manufacturing, e-Commerce ERP dan Supply Chain Management Business Process Management Smart Systems Smart City Smart Cloud Technology Smart Appliances & Wearable Computing Devices Robotic Systems Smart Sensor Networks Information Infrastructure for Smart Living Spaces Intelligent Transportation Systems Models, Methods and Techniques Conceptual Modeling, Languages and design Software Engineering Information-centric Networking Human Computer Interaction Media, Game and Mobile Technologies Data Mining Information Retrievel Information Security Image Processing and Pattern Recognition Remote Sensing Natural Language Processing
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol 3 No 2 (2025): Januari- Juni" : 5 Documents clear
Analisis Forensik Digital pada Perangkat Android: Studi Kasus Serangan Malware Alfatah, Dhika
Jurnal Komputer Vol 3 No 2 (2025): Januari- Juni
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v3i2.102

Abstract

Until recently, the growth of the Android operating system on smartphone devices was popular. However, behind this popularity, the Android platform is also a target of opportunity for cybercrime against cybersecurity threats such as malware. Identifying this malware is very important to maintain user security and privacy. Due to the increasingly complicated process of malware identification, it is necessary to use machine learning for malware classification. This research collects static analysis features of safe and malicious applications. (malware). The dataset used in the research is the DREBIN malware dataset which is a publicly available malware dataset. The dataset consists of API CALL, system command, manifest permission, and Intent features. The data is then processed using various supervised machine learning algorithms including Support Vector Machine (SVM), Naive Bayes, Decision Tree and KNearest Neighbors. We also concentrate on maximising the achievement by evaluating various algorithms and adjusting some configurations to get the best combination of hyper-parameters. The experimental results show that SVM model classification gets the best result by achieving 96.94% accuracy and 95% AUC (Area Under Curve) value.
Analisis UX pada Aplikasi E-Learning menggunakan Metode SUS (System Usability Scale) Rahayu, Novi
Jurnal Komputer Vol 3 No 2 (2025): Januari- Juni
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v3i2.105

Abstract

E-learning has become an essential need in education, especially accelerated by the COVID-19 pandemic. The implementation of online learning systems using Moodle-based Learning Management System (LMS), which requires evaluation to ensure its effectiveness and usability. This study aims to implement the System Usability Scale (SUS) method to measure the level of usability. This evaluation is expected to provide recommendations for improvements to improve the quality of online learning. Based on the existing problems, it explains how to implement the SUS method to measure usability in the e-learning system at UMM. The study was limited to usability evaluation using the SUS method without discussing other aspects such as learning content or other supporting technology infrastructure. The study used the SUS method which involved a questionnaire with 10 questions to assess usability aspects such as learning ability, efficiency, error rate, and user satisfaction. The analysis showed a fairly good level of usability but still needed some technical improvements such as system stability and ease of use. The implementation of the SUS method was effective, providing valuable insights for system improvements to improve the learning experience.
Desain Responsif dan Dampaknya terhadap Pengalaman pengguna di Situs E-Commerce Olivia, Melvina
Jurnal Komputer Vol 3 No 2 (2025): Januari- Juni
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v3i2.107

Abstract

The development of information technology today has significantly changed the view of business, especially in e-commerce. Companies engaged in the food sales industry such as a shop are urgently needed to increase the effectiveness of online promotion and sales through redesigning e-commerce websites. This research aims to design an e-commerce website that combines attractive design elements, functionality, and effective promotional strategies to improve branding and marketing. The methodology used in this research includes surveys, interviews, and competitor analysis to understand user needs and current industry trends. The results show that increasing the effectiveness of online promotion and sales requires strategic integration between three main elements, namely attractive and responsive design, intuitive and user-friendly functionality, and targeted and effective promotional strategies. Based on the research results, an e-commerce website design, which combines several elements, with a focus on an attractive user experience and an easy purchasing process. The implementation of this design in the future can increase branding visibility, optimise user experience.
Implementasi dan Evaluasi REST API dalam Integrasi Sistem Lintas Platform Olivia, Melvina
Jurnal Komputer Vol 3 No 2 (2025): Januari- Juni
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v3i2.108

Abstract

In today's digital era, online games such as Minecraft are rapidly growing as part of the entertainment industry. Arknesia Entertainment Network developed an independent Minecraft server called Reforged World to improve users' gaming experience. However, there are challenges in integrating server data efficiently. This research aims to develop a RESTful API that integrates with the backend using Express.js, the website frontend using Next.js, and the mobile application using Expo. This RESTful API allows real-time management of server status data, player information, and game statistics. The results show that the RESTful API is able to improve service quality and provide a better user experience. Full documentation is provided to make it easier for other developers to implement and further develop the API.
Sistem Penjadwalan Otomatis Menggunakan Algoritma Genetika pada Lingkungan Sekolah Pratama, Sutan Abeng
Jurnal Komputer Vol 3 No 2 (2025): Januari- Juni
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v3i2.111

Abstract

Scheduling problems in school environments often present significant challenges due to the involvement of numerous variables and constraints, such as teacher availability, classroom allocation, and balanced subject distribution. Manual scheduling tends to be time-consuming and prone to errors, necessitating a more efficient and adaptive solution. This study aims to design and implement an automatic scheduling system using a Genetic Algorithm. This algorithm is chosen for its capability to solve optimization problems with complex solution spaces. The development process involves representing chromosomes as combinations of schedule elements, selecting based on conflict levels, and applying genetic operators such as crossover and mutation to generate optimal solutions. Test results show that the system is capable of producing high-quality schedules with minimal conflicts and efficient computation time. This approach significantly enhances the speed, accuracy, and flexibility of school scheduling systems

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