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All Journal The IJICS (International Journal of Informatics and Computer Science) Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Tekinkom (Teknik Informasi dan Komputer) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) INFOKUM KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Jurnal Media Teknik Elektro dan Komputer (JISCO) Journal of Information System and Computing
Mujahid, Putra Edi
Universitas Prima Indonesia, Medan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Social Sciences

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IMPLEMENTASI ALGORITMA K-MEANS UNTUK CLUSTERING DATA PENYANDANG MASALAH KESEJAHTERAAN SOSIAL DI WILAYAH SUMATERA UTARA Tambunan, Daniel Partogi; Willy, Willy; Fertomedis, Ridho Lukas; Mujahid, Putra Edi
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.1802

Abstract

Penyandang Masalah Kesejahteraan Sosial (PMKS)are community groups facing difficulties in meeting basic life needs due to factors such as poverty, disability, drug dependence, and disasters. In North Sumatra Province, the distribution of PMKS varies significantly across regions, requiring targeted and region-specific social policies. This study aims to cluster 33 districts/cities based on the number and types of PMKS in 2022 using the K-Means algorithm. This method was selected for its effectiveness in uncovering patterns from complex datasets. The clustering process involved multiple iterations until convergence, and the results were validated using RapidMiner. The findings reveal three clusters: Cluster 1 (two regions) with a high level of PMKS, Cluster 2 (six regions) with a moderate level, and Cluster 3 (25 regions) with a low level. Regions with high PMKS levels, such as Batu Bara and Karo, show dominance in categories like extreme poverty, disability, and socially vulnerable women. The results provide a clearer picture of social welfare conditions across the region and serve as a valuable reference for designing more focused and efficient social welfare policies tailored to regional needs.
Implementation of Yolov8 Instance Segmentation for Detection and Segmentation of Leaf Diseases in Horticultural Plants Ramadhan, Da’i Gilang; Putra Edi Mujahid
INFOKUM Vol. 13 No. 06 (2025): Infokum
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v13i06.3021

Abstract

Leaf diseases are one of the primary factors contributing to reduced agricultural productivity, especially in tropical regions such as Indonesia. Early identification of infected areas is crucial to prevent further disease spread and minimize crop losses. This study proposes the application of YOLOv8 instance segmentation with an in-training augmentation strategy to precisely detect and segment leaf disease areas. The dataset consists of 3,528 diseased leaf images, with 588 original images used for validation and 2,940 augmented images for training. The augmentation process includes mosaic, HSV adjustment, spatial transformations, RandAugment, and other techniques to enhance the model’s generalization capability. Model performance was evaluated using mAP, precision, recall, and Intersection over Union (IoU) metrics. Experimental results demonstrate that the model achieved stable performance with high mAP@50, precision and recall approaching optimal values, and an average IoU above 0.5. This approach is effective and has strong potential for implementation in early plant disease detection systems, supporting farmers in making timely and accurate decisions.
Implementasi Framework Django Dalam Sistem Penjualan Sparepart Motor Menggunakan Metode Agile Irawan, Dodi; Mujahid, Putra Edi
JISCO : Journal of Information System and Computing Vol 3 No 2 (2025): Jurnal of Information System and Computing
Publisher : UIN Sulthan Thaha Saifuddin Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/jisco.v3i2.5672

Abstract

Bengkel Kevin Motor merupakan usaha yang bergerak di bidang penjualan suku cadang dan layananservis motor. Dalam menjalankan kegiatan operasionalnya, bengkel ini masih menggunakan sistempenjualan dan pencatatan servis secara manual, sehingga menimbulkan berbagai permasalahan sepertiduplikasi data, kesulitan dalam pencarian informasi, serta keterlambatan dalam pembuatan laporan.Tujuan dari penelitian ini adalah menganalisis dan memahami permasalahan pada sistem penjualanyang berjalan di Bengkel Kevin Motor, serta merancang sistem informasi penjualan suku cadang danservis motor berbasis web menggunakan bahasa pemrograman Python dengan framework Django.Metode pengembangan sistem yang digunakan adalah Agile dengan pendekatan pemodelan UnifiedModeling Language (UML) yang meliputi diagram aktivitas dan diagram kelas. Hasil penelitian iniberupa sistem informasi yang mempermudah pencatatan transaksi, pengelolaan stok, serta pembuatanlaporan sehingga dapat mengurangi kesalahan dan duplikasi data.
Transformasi Literasi Digital Berbasis Artificial Intelligence Dalam Meningkatkan Kapasitas Ekonomi dan Administrasi Masyarakat Desa Andi Alviadi Nur Risal; Febriyansyah Ramadhan; Clara Diva; Fera Damayanti; Putra Edi Mujahid
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 5 No 1 (2026): Juli 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v5i1.999

Abstract

Pengabdian ini bertujuan untuk menganalisis transformasi literasi digital berbasis Artificial Intelligence (AI) dalam meningkatkan kapasitas ekonomi dan administrasi masyarakat desa. Metode Pengabdian yang digunakan adalah pendekatan kualitatif deskriptif dengan desain community-based participatory research. Data dikumpulkan melalui observasi, wawancara mendalam, dan focus group discussion (FGD) yang melibatkan aparatur desa, pemuda, pelaku UMKM, dan masyarakat umum. Hasil Pengabdian menunjukkan bahwa intervensi berupa pelatihan dan pendampingan literasi digital berbasis AI mampu meningkatkan kemampuan masyarakat dalam memanfaatkan teknologi secara produktif. Pada aspek ekonomi, pelaku UMKM mengalami peningkatan efisiensi dalam pembuatan konten promosi serta perluasan jangkauan pemasaran digital. Sementara itu, pada aspek administrasi, aparatur desa menunjukkan peningkatan efisiensi dalam penyusunan dokumen dan pelayanan publik. Selain itu, terjadi perubahan perilaku masyarakat dari penggunaan teknologi yang bersifat konsumtif menjadi produktif. Meskipun demikian, Pengabdian ini juga menemukan adanya kendala berupa keterbatasan infrastruktur, akses internet, dan variasi tingkat literasi digital masyarakat. Secara keseluruhan, Pengabdian ini menyimpulkan bahwa transformasi literasi digital berbasis AI memiliki potensi besar dalam mendorong peningkatan kapasitas ekonomi dan administrasi masyarakat desa secara berkelanjutan.
Co-Authors Albert Pratama Sembiring Albert Pratama Sembiring Andi Alviadi Nur Risal Andri Syahputra Tarigan Arthur William Clara Diva Erika Girsang Febriyansyah Ramadhan Fera Damayanti Fertomedis, Ridho Lukas Gultom, Maju Parsaoran Hasibuan, Muhammad Fikry Hasrul Irawan, Dodi Jansen Yudistira S Meliala Jansen Yudistira Sembiring Meliala Jodi Daniel Pransisko Manalu Johan Tanaro Lahagu, Hasrat Gideon Louis, Kevin Manik, Rosianni Maya Frida Panjaitan Nababan, Marlince Nurzanah, Laila Okta Jaya Harmaja Ramadhan, Da’i Gilang Rendy Christian Riyandi Riyandi Rudi Yanto Ryan Chandra Saut P Tamba Simbolon, Junpri Sardodo Sinaga, Christina Julia Sinaga, Indah Sinaga, Maria Riska Ratna Sari Siti Aisyah Soselisa, Yopie Lahardo Tambunan, Daniel Partogi Verli Vernando S Colia Villa Delfya Sarumaha Willy, Willy