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All Journal Jurnal Bumigora Information Technology (BITe) Reputasi: Jurnal Rekayasa Perangkat Lunak Jurnal Medika: Medika
Tanwir, Tanwir
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Electrical & Electronics Engineering Health Professions Medicine & Pharmacology Nursing Public Health

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Implementasi Konsultasi Stunting Balita Menggunakan Large Language Models (LLMs) Tanwir, Tanwir; Hidjah, Khasnur; Susilowati, Dyah
Reputasi: Jurnal Rekayasa Perangkat Lunak Vol. 6 No. 1 (2025): Mei 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/reputasi.v6i1.8961

Abstract

Stunting pada balita merupakan masalah kesehatan kritis di Indonesia yang memerlukan intervensi berbasis teknologi untuk meningkatkan akses informasi nutrisi. Penelitian ini bertujuan mengembangkan chatbot konsultasi stunting berbasis Large Language Models (LLMs) guna menyediakan rekomendasi kesehatan yang akurat dan mudah diakses. Metode yang digunakan berupa Model LLaMA 3 di-fine-tuning menggunakan dataset Q&A spesifik stunting berisi 7.642 entri, kemudian dievaluasi dengan matrik ROUGE untuk mengukur kesesuaian semantik respons. Hasil menunjukkan model Stunting mencapai skor ROUGE-1 (72,24%), ROUGE-2 (64,54%), ROUGE-L (70,42%), dan ROUGE-Lsum (70,96%), secara signifikan melampaui model baseline seperti LLaMA3, Deepseek-R1, dan Mistral. Chatbot diimplementasikan dalam aplikasi web berbasis cloud dengan arsitektur terdistribusi, dilengkapi enkripsi SSL dan HTTPS untuk menjamin keamanan data. Sistem ini memungkinkan interaksi real-time antara pengguna dan model LLMs melalui antarmuka berbasis Gradio. Temuan penelitian mengonfirmasi potensi LLMs dalam menyederhanakan layanan kesehatan preventif, khususnya di daerah dengan sumber daya terbatas
Peningkatan Kinerja Klasifikasi Scabies Sapi MenggunakanEdited Nearest Neighbours (ENN) pada Model Random Forestdan XGBoost Ihsan, M. Khaerul; Maulana, Muhammad; Tanwir, Tanwir; Mas’ud, Abi; Hanif, Naufal; Resmiranta, Dading Oktaviadi
Jurnal Bumigora Information Technology (BITe) Vol. 7 No. 2 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v7i2.6055

Abstract

Background: Scabies disease in cattle causes significant economic losses for farmers due to declines in the animals’physical condition and productivity.Objective: This study aims to evaluate the effectiveness of the Edited Nearest Neighbours (ENN) method in improvingclassification performance for scabies in cattle.Methods: This research employs machine learning methods, including Random Forest and XGBoost. A dataset of 600clinical symptom samples was converted to numerical data and cleaned of noise using the ENN technique.Result: Applying ENN significantly improved the accuracy of both the Random Forest and XGBoost models, increasing itfrom around 0.60 to 0.91. In addition, both models achieved a perfect recall of 1.00, indicating maximum capability todetect positive cases.Conclusion: This study concludes that noise reduction using ENN can produce a more accurate and reliable diagnosticsystem. This method is highly recommended to optimize the performance of classification algorithms on animal clinicaldata with high levels of inconsistency. 
Pelatihan dan Pendampingan Pemanfaatan Biopestisida Metil Eugenol Bagi Petani Lombok di Kampung Walma Distrik Skanto Keerom Papua Suhartawan, Bambang; Syarifuddin, Syarifuddin; Taba, Herman HI Tjolleng; Tanwir, Tanwir; Mugiati, Mugiati; Daawia, Daawia; Sufaati, Supeni
Jurnal Medika: Medika in progres
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/chgvh445

Abstract

Fruit flies are the main pests causing decreased productivity of horticultural crops in Walma Village, Skanto District, Keerom Regency. This pest attack causes significant economic losses for local farmers with fruit damage rates reaching 40-60%. This community service activity aims to increase farmers' knowledge and skills in utilizing methyl eugenol pheromones as environmentally friendly biopesticides to control fruit flies. Implementation methods include counseling on fruit fly biology and pheromone mechanisms, training on making pheromone traps using local materials, demonstration of trap installation in fields, and continuous assistance during three months of planting season. This activity involved 35 farmers from Walma Village who own horticultural land. The results showed an increase in farmers' knowledge by 78% from pre-test to post-test, successful installation of 140 pheromone trap units in 15 hectares of land, reduction in fruit fly attack rates from 45% to 18%, and increase in harvest yields by 35-42%. Farmers also showed high enthusiasm with commitment to continue using this biopesticide. This activity makes a real contribution to increasing sustainable agricultural productivity and reducing chemical pesticide use in Papua region, specifically Keerom Regency.
Co-Authors Bambang Suhartawan Daawia, Daawia Dyah Susilowati Khasnur Hidjah Mas’ud, Abi Mugiati, Mugiati Muhammad Maulana Naufal Hanif Resmiranta, Dading Oktaviadi Supeni Sufaati Syarifuddin Syarifuddin Taba, Herman HI Tjolleng Tanwir Tanwir