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All Journal Jurnal PkM MIFTEK Journal of Intelligent Systems Technology and Informatics
Muhamad Rijki Nurjakiah
Institut Teknologi Garut
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Pembangunan Tugu Sebagai Simbol Identitas Untuk Meningkatkan Citra Desa Sirnajaya Muhammad Badru Zaman; Cep Imat Ginanjar; Sheilla Fitria; Muhammad Agus Sholehhudin; Dhea Muhamad Faisal Angriawan; Mochamad Risyad Fauzan; Muhamad Rijki Nurjakiah; Suci Nursania; Tsani Hisni Amala; Moh Ramdani; Alya Rahmawati; Yogi Sugiman; Rafi Miftahul Fauzi; Wida Rahayu; Rakhan Sulaeman DJ; Sendy Kresna Gumilar; Andri Hendriyanto; Muhamad Nizar Fadilah; Hari Muhamad Gifari; Siva Aulia Salsabila; Neng Refi Prayoga; Muhammad Firmasnyah Sofyan; Reza Rizkiansyah
Jurnal PkM MIFTEK Vol 7 No 1 (2026): Jurnal PkM Miftek
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.7-1.2894

Abstract

The village of Sirnajaya in Cisurupan Subdistrict, Garut Regency, has strong environmental and cultural potential, but lacks a physical symbol that represents the village's identity. The absence of such a marker results in low visual appeal, a lack of orientation points, and a decline in community pride. This community service program aims to solve these problems by constructing a monument as a symbol of the village's identity and a landmark that strengthens the image of the region. The method used is a limited participatory approach involving students and village officials in every stage, from planning, design, budgeting, implementation, to handover of results. The results of the activity show that the monument was successfully built in a strategic location with a design that combines aesthetic and local cultural values. In addition to producing a physical product, this program also encouraged collaboration between students, village officials, craftsmen, and the community, thereby strengthening social solidarity. Obstacles in the form of time constraints and weather conditions were overcome through good coordination and schedule adjustments. Overall, the construction of the monument not only resolved the issue of village identity but also increased collective pride and fostered a spirit of sustainable development.
An Explainable Graph Neural Network Framework for Anemia Classification on Imbalanced Tabular Data Moh Ramdani; Alya Rahmawati; Muhamad Rijki Nurjakiah
Journal of Intelligent Systems Technology and Informatics Vol 2 No 2 (2026): JISTICS, July 2026
Publisher : Aliansi Peneliti Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64878/jistics.v2i2.266

Abstract

Anemia remains a serious global health problem, yet its classification from hematological data faces issues of class imbalance and clinical interpretability. In this study, we propose an explainable Graph Neural Network (GCN) framework integrated with Synthetic Minority Over-sampling Technique (SMOTE) and GNNExplainer for anemia classification. Addressing the limitations of the previous global similarity threshold, we construct a localized k-nearest neighbors (k-NN) graph with k=5 and apply clinical-range filtering to remove physiologically impossible outliers. Evaluation on 136 test samples shows that the proposed GCN model achieves an accuracy of 91.91% and a recall of 82.76% for the anemia class, which is highly competitive with SVM RBF (93.38% accuracy) and Naive Bayes (91.91% accuracy). McNemar significance tests confirm that the GCN model performs comparably to the baselines (p >= 0.72) while offering model interpretability. Using GNNExplainer, the parameters MCH, Ht, HB, and MCHC were identified as the most dominant features, providing clinicians with valuable transparency. This framework demonstrates the clinical utility of explainable GNNs in medical diagnostics.
Co-Authors Alya Rahmawati Andri Hendriyanto Cep Imat Ginanjar Dhea Muhamad Faisal Angriawan Hari Muhamad Gifari Mochamad Risyad Fauzan Moh Ramdani Muhamad Nizar Fadilah Muhammad Agus Sholehhudin Muhammad Badru Zaman Muhammad Firmasnyah Sofyan Neng Refi Prayoga Rafi Miftahul Fauzi Rakhan Sulaeman DJ Reza Rizkiansyah Sendy Kresna Gumilar Sheilla Fitria Siva Aulia Salsabila Suci Nursania Tsani Hisni Amala Wida Rahayu Yogi Sugiman