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All Journal Jurnal Teknik Industri Terintegrasi (JUTIN) Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia
Nurlaela, Intan
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences

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Optimizing Adaptive Agricultural Systems, Making Organic Fertilizer, and Drip Irrigation Technology in Sukamanah Village Maulana, Adrian Rizki; Damayanti, Fujia; Nurlaela, Intan; Kusnayadi, Kusnayadi; Noval, Muhammad; Rifal, Rafi Muhammad; Alam, Rafi Sandina; Sulistiyo, Satria Putra; Jenab, Siti; Septiana, Fajar Indra
AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Vol 4, No 1 (2025): January 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/aurelia.v4i1.4145

Abstract

This research aims to evaluate the effectiveness of several proposed solutions to improve the agricultural system. The main focus of this study is on introducing an adaptive agricultural system tailored to local environmental conditions, producing organic fertilizers using modern agricultural standards, and implementing drip irrigation technology. The results show that the introduction of an adaptive agricultural system significantly increases productivity through the selection of superior seeds and proper planting patterns. Furthermore, the production of organic fertilizer has proven to improve soil quality and crop yields through the layering method and the use of Effective Microorganisms (EM4). The application of drip irrigation technology enhances water use efficiency, reducing the overuse of water resources. Overall, these three solutions positively contribute to increased productivity, sustainability, and resource efficiency in modern agricultural systems.
Otomatisasi Alat Sortir Ukuran Benih Kentang G - Nol Berbasis Load Cell Anjani, Ayu Sri; Sihab, Hasbi Hasidik; Nurlaela, Intan; Fahmi, Muhammad Rusdan; Srimurni, Rafika Ratik; Nugroho, Iwan Satriyo
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 4 (2025): October
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i4.48991

Abstract

This study aims to design an automatic seed sorting device for G-0 potato seeds using a load cell sensor as a solution to the limitations of manual sorting systems commonly used in the field. The system detects the seed weight through a load cell sensor connected to an Arduino microcontroller, enabling precise and automated sorting. The Exponential Comparison Method (MPE) was applied to evaluate four design alternatives based on functional, technical, and operational criteria. The results indicate that Design B is the most optimal, achieving the highest preference score. Financial feasibility analysis further supports the project's viability, with positive NPV, a high IRR, a B/C Ratio above 1, a short payback period, and a low break-even point. Therefore, the tool is considered feasible both technically and economically and shows strong potential for broader implementation in the agricultural sector.
Co-Authors Alam, Rafi Sandina Anjani, Ayu Sri Damayanti, Fujia Fahmi, Muhammad Rusdan Iwan Satriyo Nugroho Jenab, Siti Kusnayadi, Kusnayadi Maulana, Adrian Rizki Muhammad Noval Rafika Ratik Srimurni Rifal, Rafi Muhammad Sihab, Hasbi Hasidik Sulistiyo, Satria Putra