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PENGEMBANGAN POTENSI DESA SUKAMAJU PADA BIDANG PARIWISATA DAN SEKTOR UMKM Taptajani, Dedi Sa'dudin; Fadhillah, Achmad Ridwan; Pamungkas, Aldi Tryana; Herliani, Desi; Septian, Diaz Ahmad; Annas, Elpan Jamaludin; Wijdan, Farid Muhammad; Mutaqin, Fahmi Hidayatul; Fauziah, Hany; Fadilah, Ilham; Nurjaman, Iman; H, Jingga Fajrianti; Maulana, Muhamad Andhika; Alfarizzi, Mohamad Risky; Rifai, Muhammad Rizal; Azham, Moch Nazham Ismul; Mawari, Rahma Siti; Putri, Riva Apriliyani; Rahman, Roy Hadi; Yuliana, Siti Sarah; Muwafiq, Syahdan Fatan Nur
Jurnal PkM MIFTEK Vol 6 No 1 (2025): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.6-1.2079

Abstract

Penelitian ini berfokus pada pengembangan potensi Desa Sukamaju, Kecamatan Cilawu, Kabupaten Garut, khususnya pada sektor pariwisata dan UMKM. Melalui pendekatan partisipatif, tim peneliti melakukan redesain Desa Wisata Sindangkasih, pembuatan website baru, dan pembuatan logo untuk Usaha teh hijau lokal. Metode yang digunakan meliputi survei lapangan, diskusi dengan pengelola desa wisata dan pemilik usaha, serta implementasi desain menggunakan keahlian multidisiplin dari mahasiswa Institut Teknologi Garut. Hasil penelitian menunjukkan bahwa redesain desa wisata, termasuk penambahan gedung serba guna dan sekretariat, berpotensi meningkatkan daya tarik wisata. Pembuatan website baru meningkatkan visibilitas dan aksesibilitas informasi desa wisata, sementara logo baru produk teh hijau memperkuat identitas merek dan daya saing produk. Ketiga inisiatif ini berpotensi meningkatkan kunjungan wisatawan dan penjualan produk, yang pada gilirannya dapat mendorong pertumbuhan ekonomi lokal dan kesejahteraan masyarakat Desa Sukamaju.
Development of MyCare AI: A Dual-AI Mental Health Chatbot for Personalized Emotional Support Arief, Zaenal Syamsyul; Hamzah, Muhamad; Azham, Moch Nazham Ismul
Journal of Intelligent Systems Technology and Informatics Vol 1 No 2 (2025): JISTICS, July 2025
Publisher : Aliansi Peneliti Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64878/jistics.v1i2.34

Abstract

Access to mental health services remains a critical challenge in Indonesia, primarily due to societal stigma and limited availability of professional support. In response to this issue, this study introduces MyCare AI. This web-based mental health chatbot platform combines a Bi-LSTM-based emotion classification model with a generative conversational model provided by Google Vertex AI. This Dual-AI architecture enables the system to detect user emotions from Indonesian text inputs and deliver real-time, contextually appropriate, and empathetic responses. The emotion classification model is trained on a balanced English-language dataset representing four key emotional states: sadness, suicidal ideation, fear, and anger. The system employs a translation mechanism to convert Indonesian input into English before classification and then uses the detected emotion to condition the response generation process dynamically. The model achieved a classification accuracy of 95%, outperforming comparable models based on BERT-SVM and conventional LSTM architecture. This platform is intended for individuals who require immediate, anonymous, and continuous emotional support, including users in underserved or remote communities. MyCare AI represents a scalable and practical solution for digital emotional assistance and lays the groundwork for future integration with professional mental health services and native-language support frameworks. Key limitations include the system's reliance on real-time translation and an English-based dataset, highlighting the need for future development of culturally specific models.