Yovinia Carmeneja Hoar Siki
Department of Computer Science, Faculty of Engineering Universitas Katolik Widya Mandira, Kupang, East Nusa Tenggara, Indonesia

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Implementation of Chatbot-Based Digital Services to Optimize Community Service Processes in Inbate Village, Indonesia – Timor Leste Border Area Donatus J Manehat; Sisilia D. B Mau; Yovinia Carmeneja Hoar Siki
International Journal Of Community Service Vol. 6 No. 2 (2026): May 2026 ( Indonesia - Thailand - Malaysia - Philippines)
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijcs.v6i2.997

Abstract

Inbate Village is located in the border area between Indonesia and Timor Leste and still experiences limitations in public service accessibility. Administrative services are mostly conducted manually, causing delays, increased workload for village staff, and difficulties for citizens in obtaining information. This community service activity aimed to implement chatbot-based digital services to improve the efficiency, accessibility, and transparency of public services in Inbate Village. The implementation method included needs analysis, chatbot development, training and socialization, implementation, and evaluation stages. The chatbot was integrated into the village website and WhatsApp platform to provide administrative information, document requirements, service schedules, and complaint services. The activity was conducted over eight months, starting from September 2025 until April 2026. The implementation schedule consisted of preparation and needs analysis in September 2025, chatbot development during October–November 2025, training and socialization in December 2025, implementation and monitoring from January to February 2026, and evaluation and refinement during March–April 2026. The results showed that the chatbot successfully improved service effectiveness, reduced queues at the village office, and enhanced digital literacy among village officials and residents. This activity also provides a model for AI-based public service implementation in border areas.
Smart Farming System for Optimizing Dryland Agriculture in the Indonesia–Timor Leste Border Area Yovinia Carmeneja Hoar Siki; Yulianti Paula Bria; Donatus J Manehat; Mikel Grimoaldo Kuabib; Wilhelmus Seran
International Journal Of Community Service Vol. 6 No. 2 (2026): May 2026 ( Indonesia - Thailand - Malaysia - Philippines)
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijcs.v6i2.998

Abstract

This community service program aimed to implement an Internet of Things (IoT)-based smart farming system to optimize dryland agriculture in the Indonesia–Timor Leste border area, particularly in Inbate Village, Bikomi Nilulat District, North Central Timor Regency, East Nusa Tenggara Province. Farmers in this region face several challenges, including prolonged dry seasons, limited irrigation facilities, inefficient water management, and fluctuating agricultural productivity. To address these issues, the program introduced a smart farming system consisting of drip irrigation technology, soil moisture sensors, IoT controllers, water pumps, and solar cell energy systems. The implementation methods included field observation, installation of IoT-based irrigation systems, farmer training, mentoring, monitoring, and evaluation activities. The results showed that the smart farming system successfully improved irrigation efficiency, reduced water consumption, and increased crop productivity for onion and vegetable farming. In addition, farmers demonstrated improved understanding and adoption of modern agricultural technologies through practical training and continuous assistance. Evaluation results involving 15 farmers indicated high levels of user satisfaction, irrigation efficiency, and ease of technology use. Overall, the implementation of IoT-based smart farming technology had a positive impact on sustainable dryland agricultural management, farmer capacity building