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All Journal Jurnal Pengabdian Masyarakat Nusantara International Journal of Management Science and Information Technology (IJMSIT)
Fika Ulfa Widowati
Universitas 17 Augustus 1945 Semarang
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Deep Learning for HIV Screening Using Laboratory and Demographic Data Fika Ulfa Widowati
International Journal of Management Science and Information Technology Vol. 5 No. 2 (2025): July - December 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v5i2.5371

Abstract

In this work, laboratory and demographic data were integrated to create a deep learning model for HIV screening. The rising incidence of HIV in Indonesia necessitates the development of more effective and precise screening techniques for early identification. The created methodology improves the accuracy of HIV status prediction by integrating many laboratory indicators, including total blood count, viral load, CD4 count, and patient demographic information. For the years 2020–2024, 5,847 patient samples from different Indonesian hospitals made up the dataset. A Deep Neural Network (DNN) architecture with Grid Search hyperparameter optimization was employed in this investigation. According to the evaluation results, the model obtained an F1 score of 93.5%, a sensitivity of 92.8%, a specificity of 95.1%, and an accuracy of 94.2%. When compared to using only laboratory data, the model's performance increased by 3.7% when demographic data was included. This methodology can lessen laboratory burden while assisting medical staff in doing HIV screening more quickly and accurately. An external validation plan has been created with a testing strategy using a separate dataset from ten referral hospitals that were not part of the model training process in order to guarantee the model's dependability in clinical application. To boost the confidence of medical staff, a workable implementation has been created in the form of an API and web application that can be included into the hospital's current information systems and provide an explanation of the prediction results. To help healthcare facilities with different resource levels embrace this technology, technical and clinical implementation recommendations are offered. In order to assess how well the model works to increase HIV detection rates and clinical workflow efficiency, a post-implementation impact evaluation is planned. The efficiency of HIV prevention and control initiatives in Indonesia might be greatly increased by incorporating this paradigm into the healthcare system.
Penguatan Daya Saing UMKM Agroindustri Singkong Melalui Implementasi Inovasi Kemasan Ramah Lingkungan dan Pemberdayaan Masyarakat Fika Ulfa Widowati
Jurnal Pengabdian Masyarakat Nusantara (JPMN) Vol. 5 No. 2 (2025): Agustus 2025 - Januari 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpmn.v5i2.5370

Abstract

Micro, Small, and Medium Enterprises (MSMEs) in the cassava agro-industry have strategic potential to support the rural economy, but face challenges in product competitiveness and environmental sustainability. This research aims to enhance the competitiveness of cassava agro-industry MSMEs thru eco-friendly packaging innovation and community empowerment. The method uses a participatory approach with the stages of socialization, training, mentoring, and evaluation. The program was implemented in Kaliwungu District, Kendal Regency, over a period of 6 months, involving 25 MSMEs. The results show an average increase in turnover of 35% and a substantial improvement in packaging quality. Environmental impacts include an 80% reduction in plastic thru cassava flour and recycled paper packaging, and a 65% decrease in packaging waste. Measurable social impacts include: increasing the capacity of 120 family members in digital business (85% able to operate e-commerce), forming 5 joint business groups, creating 15 new jobs, and improving financial literacy (78% able to prepare simple financial statements). The program creates a multiplier effect by increasing the adoption of digital technology from 20% to 85%. Evaluation shows sustainability thru a system of local partnerships and an integrated distribution network. This research contributes to the development of a green innovation-based MSME empowerment model that can be replicated in other agro-industrial regions, supporting the achievement of SDGs goals 8, 12, and 17.
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