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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

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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
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

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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

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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.
Rancang Bangun Sistem Monitoring Kesehatan Pasien Berbasis IoT dengan Peringatan Dini Budi Handoyo; Teuku Muhammad Johan; Imam Muslem R; Iqbal Iqbal
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 9 No. 2 (2025): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2025
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v9i2.26317

Abstract

Keterbatasan ketersediaan serta tingginya biaya perangkat pemantauan pasien konvensional di rumah sakit mendorong perlunya solusi alternatif yang terjangkau, fleksibel, dan mampu melakukan pemantauan secara real-time. Penelitian ini menyajikan perancangan dan implementasi sistem pemantauan kesehatan pasien berbasis Internet of Things (IoT) untuk perawatan inap non-intensif. Sistem ini memantau parameter vital utama, meliputi suhu tubuh, denyut jantung, dan saturasi oksigen darah, guna mendukung deteksi dini terhadap kondisi pasien yang tidak normal. Sistem dikembangkan menggunakan mikrokontroler ESP32 Lolin Lite yang terintegrasi dengan sensor MAX30102 untuk pengukuran denyut jantung dan saturasi oksigen, sensor DS18B20 untuk pengukuran suhu tubuh, layar OLED 0,91 inci untuk visualisasi lokal, serta jaringan Wi-Fi lokal menggunakan router WRT54G. Data pasien dikirimkan ke server lokal untuk penyimpanan yang aman dan ditampilkan melalui antarmuka berbasis web yang dapat diakses oleh tenaga medis dan keluarga pasien. Kinerja sistem dievaluasi dengan membandingkan hasil pengukuran terhadap alat pemantauan medis referensi menggunakan sepuluh sampel pengujian untuk setiap parameter. Hasil pengujian menunjukkan rata-rata persentase galat sebesar 1,31% untuk denyut jantung, 0,27% untuk suhu tubuh, dan 1,02% untuk saturasi oksigen darah, yang mengindikasikan tingkat akurasi pengukuran yang baik. Sistem yang dikembangkan terbukti layak sebagai solusi pemantauan pasien berbasis IoT yang andal dan berbiaya rendah, serta berpotensi untuk dikembangkan lebih lanjut dan diintegrasikan dengan sistem rekam medis rumah sakit.
Adaptive Heuristic-Based Ant Colony Optimization for Multi-Constraint University Course Timetabling with Morning Slot Preference for Energy Efficiency Muslem, Imam; Irvanizam, Irvanizam; Almuzammil, Almuzammil; Johar, Farhana
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5588

Abstract

University course timetabling is a well-known NP-hard combinatorial optimization problem that involves multiple interacting constraints, including lecturer availability, classroom capacity, time-slot allocation, and course duration. Most existing metaheuristic-based approaches primarily focus on eliminating academic conflicts, while contextual and operational aspects, such as energy efficiency, are rarely considered explicitly. In addition, standard Ant Colony Optimization (ACO) methods often suffer from premature convergence and limited adaptability during the solution search process. This study proposes an Adaptive Heuristic-Based Ant Colony Optimization (AHB-ACO) approach for multi-constraint university course timetabling with a particular emphasis on morning slot preference as an energy efficiency proxy. The proposed method extends the conventional ACO framework by integrating an adaptive heuristic mechanism that dynamically guides the solution construction process toward compact and conflict-free schedules, while simultaneously favoring morning time slots to support reduced classroom cooling demand. Hard constraints, including lecturer and room conflicts, are strictly enforced, whereas the temporal preference is modeled as a soft constraint. The performance of AHB-ACO is evaluated through extensive scheduling simulations using academic datasets under various parameter settings. Experimental results demonstrate that the proposed approach consistently produces conflict-free timetables, achieving a conflict function value of C(S)=0 with stable convergence behavior. Furthermore, parameter sensitivity analysis indicates that AHB-ACO exhibits good robustness with respect to variations in the number of ants and iterations, showing a reasonable trade-off between solution quality and computational time. Additional analysis reveals an increased utilization of morning time slots compared to non-optimized schedules, indicating the effectiveness of the proposed energy-aware preference. Overall, the results suggest that AHB-ACO provides an effective and adaptive solution for university course timetabling that not only satisfies academic constraints but also addresses operational considerations related to energy efficiency.
IMPLEMENTASI KOMIK SAINS BERBASIS AUGMENTED REALITY DALAM MENINGKATKAN LITERASI SAINS DAN LITERASI DIGITAL SISWA SEKOLAH DASAR Khairunnisak; Kiki Fajariani; Imam Muslem
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 Nomor 02, Juni 2026 Published
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.49015

Abstract

This study aims to determine the effectiveness of Augmented Reality-based science comic media in improving the scientific literacy and digital literacy of fifth-grade students at SD Negeri 3 Percontohan. The problem addressed in this study is the limited use of interactive and visual learning media in science learning, which often makes students experience difficulty in understanding abstract science concepts and using digital technology for educational purposes. This research employed a quantitative approach with a pre-experimental method using a one-group pretest-posttest design. The subjects were 32 fifth-grade students. Data were collected through scientific literacy tests, digital literacy questionnaires, observation sheets, student response questionnaires, and documentation. The data were analyzed by comparing pretest and posttest scores and calculating the N-Gain score. The results showed that students’ average scientific literacy score increased from 58.25 in the pretest to 82.50 in the posttest, with an N-Gain score of 0.58 in the medium category. Students’ digital literacy score also increased from 61.40 to 84.10, with an N-Gain score of 0.59 in the medium category. Observation results indicated that students’ learning activities were in the good to very good category, while students’ responses to the media were in the very good category. Therefore, Augmented Reality-based science comic media is considered effective in supporting science learning by providing a more visual, interactive, enjoyable, and meaningful learning experience.