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All Journal JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Teknik Informatika (JUTIF) Jurnal Tika KLIK: Kajian Ilmiah Informatika dan Komputer Instal : Jurnal Komputer Sisfo: Jurnal Ilmiah Sistem Informasi Journal of Innovative and Creativity Jurnal Ilmu Komputer Aceh
Muslem R, Imam
Fakultas Ilmu Komputer, Universitas Al Muslim
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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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 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
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.
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.
Co-Authors Al Wafi, Muhammad Yasar Almuzammil, Almuzammil Ananda Faridhatul Ulva Auna Fajriah Besra Laoli Budi Handoyo Chairul Rizal Cut Haura Hayatun Jannah Dasril Azmi Dedy Armiady Dewi, Rosna Dian Safitri Ela Firliza Erifki Rizki Putra Farida Hanum Fina Meilinar Fitri Rizani Fitriani Fitriani Gaitsa Zahira Hannan Asrawi Heri Gustami Iqbal Iqbal Iqbal Irvanizam, Irvanizam Johan Johan Johan TM Johan, T. M. Johan, T. Muhammad Johar, Farhana Khalisah Khalisah Luthfi Muhammad Amin Munar Munar Nazwa Amelia Nisaul Fitri Noratul Iqramah Nurannas Qamar Syafawi Ratna Dewi Rauzi Saputra Rifa Hayatul Nisa Riyadhul Fajri Riyadhul Fajri Rizal Rizal Rizani, Fitri Rizki Putra, Erifki Rizky Maulana, Rizky Sriwinar Sriwinar Sriwinar Sriwinar, Sriwinar Teuku Muhammad Johan Teuku Muhammad Johan Ulfa Khairuna Vanessa Shakila Vianaza Winar, Sri Zaqila Amanda Zukharam Zukharam Zulkifli Zulkifli