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All Journal Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Riset Rumpun Agama dan Filsafat Jurnal Riset Rumpun Ilmu Teknik (JURRITEK)
Julfikar Mawansyah
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Library & Information Science Other

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IMPLEMENTASI SISTEM INFORMASI DESA BERBASIS SMART VILLAGE DALAM MENDUKUNG TRANSFORMASI DIGITAL DI DESA SUKADAMAI Wardhani, Muhammad; Mawansyah, Julfikar; Munandar, Muhammad Imam
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 4 (2024): EDISI 22
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i4.5284

Abstract

Desa Sukadamai terletak di Kecamatan Manggelewa, Kabupaten Dompu, Provinsi Nusa Tenggara Barat. Desa Sukadamai merupakan daerah terpencil yang jauh dari pusat kota, sehingga layanan administratif menjadi aspek yang sangat penting bagi masyarakat. Namun, terdapat beberapa masalah yang terkait dengan pengelolaan data kependudukan, khususnya dalam proses administratif. Pengelolaan data dilakukan sepenuhnya secara manual, menggunakan buku catatan fisik dan media cetak kantor. Selain itu, warga desa harus mengunjungi kantor desa secara langsung untuk meminta informasi dan menyelesaikan tugas administratif. Untuk mengatasi tantangan ini, penulis mengembangkan sistem informasi desa berbasis web yang mendukung konsep desa pintar. Sistem ini bertujuan untuk membantu pemerintah setempat dan masyarakat sekitar dalam memperlancar tugas administratif dan memastikan penyebaran informasi yang konsisten. Berdasarkan uji coba, sistem ini memperoleh indeks persetujuan sebesar 89%, dengan 30 responden menyatakan "SANGAT SETUJU" terhadap implementasi sistem informasi desa berbasis Android. Tujuan dari penelitian ini adalah untuk memanfaatkan kemajuan teknologi guna meningkatkan efisiensi administratif. Hasil uji coba menunjukkan bahwa sistem ini efektif dan dapat diterapkan dalam skenario dunia nyata.
IMPLEMENTASI SISTEM INFORMASI DESA BERBASIS SMART VILLAGE DALAM MENDUKUNG TRANSFORMASI DIGITAL DI PEDESAAN STUDI KASUS: DESA SUKADAMAI Wardhani, Muhammad; Hidayatunnisa'i; Mawansyah, Julfikar
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 19 No. 1 (2025): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v19i1.18702

Abstract

Sukadamai Village is located in Manggelewa Sub-district, Dompu Regency, West Nusa Tenggara Province. Sukadamai Village is a remote area situated far from the city center, making administrative services an essential aspect for the community. However, several issues are associated with the management of population data, particularly in administrative processes. The data management is entirely conducted manually, utilizing physical record books and printed office media. Moreover, villagers must visit the village office in person to request information and complete administrative tasks. To address these challenges, the authors developed a web-based village information system that supports the concept of a smart village. This system aims to assist the local government and surrounding community in streamlining administrative tasks and ensuring consistent information dissemination. Based on testing, the system received an 89% approval index, with 30 respondents stating they "STRONGLY AGREE" on the implementation of an Android-based village information system. The objective of this study is to leverage technological advancements to improve administrative efficiency. The trial results indicate that the system is effective and applicable in real-world scenarios.
Design of a Miniature Sensor and Algorithm for Real-Time Interpretation of Micro-Nutrient Data Julfikar Mawansyah; Muhammad Wardhani; Lita Budiarti
JURAL RISET RUMPUN ILMU TEKNIK Vol. 4 No. 2 (2025): Agustus : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v4i2.5812

Abstract

The increasing demand for sustainable agricultural practices has led to the adoption of hydroponics, a method of growing plants in nutrient-rich solutions without soil. This method is particularly effective in controlled environments where resource efficiency is paramount. However, the success of hydroponic systems depends heavily on precise nutrient management, especially for micro-nutrients, which are crucial for plant health and productivity. Traditional methods of nutrient monitoring are often labor-intensive and lack the real-time responsiveness needed for optimal nutrient control. This study addresses the challenge of real-time nutrient management in hydroponic systems by developing a miniature sensor system integrated with Internet of Things (IoT) technology. The proposed system is designed to detect micro-nutrient concentrations accurately and transmit data in real-time to a cloud platform for continuous monitoring and automated control. Advanced algorithms are employed for data processing and calibration, ensuring high accuracy in detecting micro-nutrient levels. The system was tested in a controlled hydroponic environment, where it demonstrated high accuracy with minimal error margins, validated by a consistently low Mean Absolute Error (MAE). The integration of IoT allowed for seamless data transmission and real-time analysis, enabling immediate adjustments to nutrient levels as needed. This research contributes to the advancement of precision agriculture by providing an effective solution for real-time nutrient management in hydroponic systems, potentially improving crop yields and resource efficiency.
AI, Agriculture, and Decolonial Perspectives: Recognizing Local Knowledge for Sustainability Julfikar Mawansyah; Mokh. Sholihul Hadi; Syaad Patmanthara
Jurnal Riset Rumpun Agama dan Filsafat Vol. 4 No. 3 (2025): Desember: Jurnal Riset Rumpun Agama dan Filsafat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrafi.v4i3.7250

Abstract

This study explores the intersection of Artificial Intelligence (AI), agriculture, and decolonial philosophy, emphasizing the role of local knowledge as the foundation for sustainable agricultural technology in Indonesia. The research investigates how AI can be developed not as a tool of technological domination but as a dialogical partner that recognizes the epistemic value of indigenous wisdom. Using a mixed-method approach, the study combines algorithmic experiments applying lightweight Convolutional Neural Networks (CNN) with Explainable AI (XAI) methods such as SHAP and LIME with participatory interviews involving farmers in Bima District. Empirical findings show that models integrated with localized visualization and community-based interpretability improved user trust by 84% and reduced computational energy by 28% without compromising accuracy. More importantly, the interaction between AI and farmers revealed a form of epistemic integration where algorithmic logic aligns with traditional indicators, such as soil texture, humidity, and seasonal signs known to local farmers. Philosophically, this research asserts that sustainable AI should emerge from ecological and cultural contexts rather than imposing external frameworks. In the decolonial sense, it positions local farmers not as passive users but as active epistemic agents shaping the meaning of technology. Thus, AI becomes not only a technical instrument but a site of ethical and epistemic liberation that reaffirms human responsibility toward knowledge, culture, and the earth.
Co-Authors Hidayatunnisa'i Lita Budiarti Mokh Sholihul Hadi Muhammad Wardhani Munandar, Muhammad Imam Syaad Patmanthara