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Dr. Imam Muslem R, M.Kom
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Kampus Selatan Gedung Aula M. A. Jangka Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh. Jl. Al-Muslim, Peusangan, Kabupaten Bireuen, Aceh 24261.
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Jurnal Ilmu Komputer Aceh
Published by Universitas Almuslim
ISSN : -     EISSN : 29867797     DOI : -
Core Subject :
Jurnal Ilmu Komputer Aceh (ILKA) merupakan jurnal berbasis OJS 3 yang dikelola oleh program studi Informatika Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh dengan e-ISSN 2986-7797 (online). Artikel yang diterbitkan pada jurnal ini merupakan hasil penelitian dosen dan mahasiswa di bidang ilmu komputer. Jurnal ILKA menerbitkan tiga volume setiap tahun, pada bulan Fabruari, Juni dan Oktober tiap tahunnya. Setiap jurnal yang diterbitkan melalui proses double-blind review dalam proses review suatu artikel yang akan disajikan di mana suatu artikel di nilai oleh reviewer yang tidak mengetahui identitas penulis. Jurnal ILKA yaitu memuat artikel dalam bentuk hasil penelitian, dan artikel konseptual yang mencakup bidang ilmu komputer, antara lain: Sistem Informasi, Informatika, Artificial Intelligence, Jaringan Komputer, Data Science, Rekayasa Perangkat Lunak, Internet of Thing, Teknik Komputer dan Multimedia
Arjuna Subject : -
Articles 40 Documents
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Klasifikasi Smartphone Berdasarkan Performa dan Harga Menggunakan Metode Algoritma K-Nearest Neighbor (KNN) Dian Safitri; Sriwinar; Hannan Asrawi; Imam Muslem
Jurnal Ilmu Komputer Aceh Vol 3 No 2 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i2.53

Abstract

The rapid development of smartphones has led to a wide variety of specifications and price ranges, making it difficult for consumers to choose devices objectively. Performance differences influenced by hardware specifications and pricing require a data-driven classification approach. This study aims to classify smartphones based on performance and price using the K-Nearest Neighbor (KNN) algorithm. The dataset consists of 981 smartphone records obtained from Kaggle, including attributes such as processor speed, number of cores, RAM, internal storage, battery capacity, camera resolution, rating, and price. Data preprocessing includes handling missing values and feature normalization using StandardScaler. Smartphones are categorized into three classes: Budget, Midrange, and Flagship. The model evaluation uses confusion matrix, accuracy, precision, recall, and F1-score. Experimental results show that the KNN algorithm achieves an accuracy of 92%, indicating that it is effective for smartphone classification problems.
Pengembangan Sistem Notifikasi Informasi Terbaru PKBM Putra Peusangan Menggunakan Metode Agile Marwan; Imam Muslem; Hannan Asrawi
Jurnal Ilmu Komputer Aceh Vol 3 No 2 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i2.55

Abstract

The rapid development of information technology in education demands systems capable of delivering academic information quickly and accurately. One of the common problems at PKBM Putra Peusangan is the delay in delivering important information and student grades due to manual processes and limited communication media. This study aims to develop a web-based notification system integrated with a Telegram bot to automate the delivery of academic information to students. The system was developed using the Agile method to ensure flexibility and adaptability to user needs. Data processing is carried out through manual input and Excel file uploads, which are verified before being stored in the database. The results show that the system improves efficiency in information management and accelerates the delivery of notifications in real time. The implementation of this system makes information distribution more effective, transparent, and easily accessible for students.
Sistem Pendukung Keputusan Pemilihan Smartphone Terbaik Menggunakan Metode Copras (Complex Proportional Assessment) Riska Silvia; Sriwinar; Hannan Asrawi
Jurnal Ilmu Komputer Aceh Vol 3 No 2 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i2.59

Abstract

The rapid development of the smartphone industry has resulted in a wide variety of products with different specifications and prices. This condition often makes consumers confused when determining the best smartphone that suits their needs. Therefore, a decision support system is needed to assist users in selecting smartphones objectively based on several technical criteria. This study aims to develop a Decision Support System (DSS) for selecting the best smartphone in the price range of IDR 3–5 million using the Complex Proportional Assessment (COPRAS) method. The research evaluates several smartphone alternatives based on twelve criteria consisting of ten benefit criteria and two cost criteria. The COPRAS method processes the data through normalization, weighting, and utility value calculation to determine the ranking of each alternative. The results of the study show that the proposed system is capable of providing objective recommendations based on the utility value of each smartphone alternative. The system can assist users in making rational and data-driven decisions when selecting smartphones. In addition, the developed model can also be applied to other product selection problems involving multiple criteria.
Sistem Penentuan Titik Pengambilan Sampah Berdasarkan Status Berlangganan Menggunakan Peta Digital Vianaza; Imam Muslem; Riyadhul Fajri
Jurnal Ilmu Komputer Aceh Vol 3 No 2 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i2.60

Abstract

This study aims to design and develop a digital map-based system for determining waste collection points based on the subscription status of customers. Waste collection services in many areas are still managed manually, making it difficult to monitor customer locations, payment status, and complaint handling efficiently. To address this problem, a web-based information system is proposed to integrate customer data, payment status, complaint management, and waste collection point visualization through digital mapping technology. The system was developed using web technologies with a database to store user data, customer locations, payment records, and service complaints. Customers are able to register, save their home location using digital maps, make service payments according to their subscription category, and submit complaints related to waste collection services. Meanwhile, administrators can manage customer data, assign collection officers, monitor payment status, and view the distribution of customer locations through a digital map interface. Waste collection officers are provided with access to view the map of customers assigned to them and respond to complaints submitted by customers. The system automatically updates customer status based on subscription and payment information stored in the database. As a result, the map visualization can dynamically display the status of each customer location using different indicators. The implementation of this system is expected to improve efficiency in monitoring waste collection services, assist officers in determining collection routes, and enhance the quality of waste management services in the community
Penerapan Metode Agile Development dalam Perancangan Sistem Informasi Pemesanan Tiket Travel Daring pada PT. Bahtera Atakana Putri Mauliza; Riyadhul Fajri; Dedy Armiady
Jurnal Ilmu Komputer Aceh Vol 3 No 2 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i2.71

Abstract

The advancement of information technology has encouraged transportation service companies to adopt digital-based operational systems. PT. Bahtera Atakana, an intercity travel service company operating in Bireuen, Aceh, still relies on a manual ticket booking system that is prone to recording errors, service delays, and limited access to customer information. This study aims to design and implement an online ticket booking information system using the Agile Development method, with the goal of producing a flexible, responsive system aligned with actual user needs. This research employs a descriptive qualitative approach, with data collected through observation, interviews, and documentation. System development is carried out using the Agile Development method with an iterative approach through sprint planning, development, testing, and evaluation phases. The system is developed as a web-based application using PHP 8 with the CodeIgniter 3 framework, MySQL database, and supported by JavaScript and AJAX. The results show that the developed system effectively enables customers to search schedules, book tickets, process payments, and obtain e-tickets independently. The system reduces transaction time by up to 70% compared to the manual process. Black box testing ensures that all main functions operate according to user requirements. The implementation of the Agile Development method has proven effective in producing an adaptive, efficient, and user-centered information system.
Pengembangan Sistem Pemesanan e-Ticket pada Transportasi Umum di Provinsi Aceh Naila Ilmi; Iskandar Zulkarnaini; Riyadhul Fajri
Jurnal Ilmu Komputer Aceh Vol 3 No 2 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i2.74

Abstract

The rapid development of information technology has encouraged digital transformation in transportation services, including ticket reservation systems. In Aceh, land transportation ticket booking is still frequently handled manually, causing inefficiency in schedule distribution, seat management, transaction recording, and ticket validation. This study aims to develop a web-based e-ticket booking system for public transportation in Aceh with Sultan Loket Matang as the case study. The system is designed to support direct booking by passengers as well as booking through registered agents, especially for users with limited access to official ticket counters. The study applies a Research and Development approach with the Waterfall model, consisting of requirements analysis, system design, implementation, and testing. The developed system provides user registration, login, schedule and route search, seat selection, simulated digital payment, electronic ticket generation, and QR Code-based validation. The results indicate that the system can improve booking efficiency, facilitate integrated transportation data management, and reduce the possibility of ticket duplication through digital verification. Therefore, the proposed system can serve as an alternative solution for improving public transportation services in Aceh
Implementasi Aplikasi Jual Beli Pakaian Bekas Sebagai Solusi Ramah Lingkungan Nurannas; Imam Muslem; Hannan Asrawi
Jurnal Ilmu Komputer Aceh Vol 3 No 2 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i2.78

Abstract

The increasing growth of fashion trends has encouraged people to purchase clothing more frequently, resulting in a higher number of unused garments and textile waste. Many second-hand clothes are still suitable for reuse, either through resale or donation, but their management is often conducted conventionally through social media, private messages, or direct transactions. This condition causes product data, transaction records, stock information, payment status, delivery information, and donation data to be less organized. This study aims to implement a web-based second-hand clothing buying, selling, and donation application as an environmentally friendly solution. The application was developed using PHP as the programming language and MySQL as the database management system. The system involves three main actors, namely admin, seller, and buyer. The main features include user registration, login, product management, marketplace, product detail, shopping cart, checkout, payment recording, delivery management, and donation management. System testing was carried out using the black-box testing method by observing the suitability between input, process, and expected output for each feature. The testing results show that all main features run according to their expected functions. Therefore, this application can support the reuse of second-hand clothing, facilitate structured online transactions, improve data management, and encourage social and environmental awareness through an integrated donation feature.
Model Pengenalan Wajah Menggunakan Algoritma k-Nearest Neighbors Rifa Hayatul Nisa; Iqbal; Imam Muslem
Jurnal Ilmu Komputer Aceh Vol 3 No 2 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i2.80

Abstract

This study explores the development of a face recognition model using the K-Nearest Neighbors (KNN) algorithm as a classification method in biometric systems. The dataset consists of 1,000 grayscale facial images sized 128x128 pixels, collected from 10 individuals with 100 images each. Feature extraction was conducted using the Histogram of Oriented Gradients (HOG) technique to capture distinctive facial characteristics. The experimental results show that the optimal k value is 4, producing a validation accuracy of 75.37%. Further testing achieved an accuracy of 81.37% with an average F1-score of 0.81, demonstrating reliable recognition performance. Live recognition tests confirmed that the system can still identify faces under real-world conditions, such as varied orientations and partial occlusions. These results indicate that KNN is an effective and efficient algorithm for small to medium-scale face recognition tasks, offering fast training time and practical applicability for biometric identification systems.
Klasifikasi Varietas Biji Kopi Arabika Gayo Berbasis Deteksi Objek Menggunakan Algoritma Yolov5 Randa Mah Bengi; Iqbal; Riyadhul Fajri
Jurnal Ilmu Komputer Aceh Vol 3 No 2 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i2.81

Abstract

Gayo Arabica coffee is one of Indonesia’s leading agricultural commodities with high economic value, especially in the export market. However, the process of classifying coffee bean varieties is still mostly performed manually, which can lead to misidentification and inconsistency in quality control. This study aims to develop an automatic classification system for Gayo Arabica coffee bean varieties using a deep learning approach based on the You Only Look Once version 5 (YOLOv5) model. The dataset consisted of 1,500 images of three main varieties: Tim-tim (Gayo 1), Bor-bor (Gayo 2), and Ateng Super (Gayo 3), with 500 images per class. The images were collected through direct observation and documentation in Aceh Tengah and labeled using LabelImg. The model was trained using the Python programming language with the Ultralytics YOLOv5 library based on PyTorch. Model performance was evaluated using precision, recall, and mean Average Precision (mAP) metrics, as well as a confusion matrix. The final model achieved an accuracy of 96% with an mAP50–95 value of 0.99, indicating that the YOLOv5-based system can effectively and consistently classify coffee bean varieties in real-time. The results of this study are expected to assist farmers and coffee industry stakeholders in improving the efficiency and accuracy of post-harvest quality control
Rancang Bangun Sistem Informasi Rental Mobil Terintegrasi Whatsapp API Gateway Muhammad Akhyar; Iskandar Zulkarnaini; Iqbal
Jurnal Ilmu Komputer Aceh Vol 3 No 2 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/ilka.v3i2.99

Abstract

This study aims to design and implement a web-based car rental information system integrated with a WhatsApp API Gateway to improve operational efficiency and customer communication. The background of this research is the use of manual systems in rental services, which often leads to delays, data recording errors, and ineffective information delivery. The development method used is the Waterfall model, consisting of requirement analysis, system design, implementation, and testing stages. The system is developed using PHP as the programming language and MySQL as the database management system. System functionality is evaluated using Black Box Testing to ensure that all features operate according to user requirements. The results show that the system successfully automates key processes such as user registration, vehicle booking, transaction management, and notification delivery. Furthermore, the integration with WhatsApp API Gateway enables automatic message delivery with a success rate of 100% and a response time of less than 10 seconds. The implementation of this system significantly improves service efficiency, reduces human error, and enhances the quality of communication between service providers and customers.

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