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All Journal Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Jurnal Riset Rumpun Ilmu Teknik (JURRITEK)
Lita Budiarti
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering

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Supply chain risk mitigation apple chips production process of fuzzy failure mode and effect analysis (Fuzzy FMEA) and fuzzy analytical network process (Fuzzy ANP) Lita Budiarti; Panji Doeranto; Siti Asmaul Mustaniroh
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) 6th International Conference on Green Agro-industry and Bioeconomy (ICGAB) July 2022 - Special Issue
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

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Abstract

Consumer demands for competitive product quality are a challenge for apple chip SMEs. Constraints include the availability of raw materials, difficulty in providing and meeting consumer demand, and damaged products during distribution. This study aims to identify, analyze and determine mitigation strategies for reducing the apple chips supply chain risk. The method used for risk identification and analysis is Fuzzy Failure Mode and Effect Analysis (Fuzzy FMEA), and determining the mitigation strategy uses Fuzzy Analytical Network Process (Fuzzy ANP). The research variables include production, technology, market, human resources (HR), distribution, and institutional and financial risks. The results showed that three risks were identified with the highest ranking, namely the collector level on the market risk variable, the indicator of price fluctuations with an FRPN value of 5.505. The risk of the highest rating at the SME level is the market variable, an indicator of returns for apple chips because they do not meet market quality with an FRPN value of 6.013. At the distribution level, it has the highest FRPN value of 5.833, the distribution variable, an indicator of product damage during the distribution process. Determining mitigation strategies is grouped into seven activities that pose risks: production, technology, markets, human resources, distribution, institutions, and finance.
Design of a Miniature Sensor and Algorithm for Real-Time Interpretation of Micro-Nutrient Data Julfikar Mawansyah; Muhammad Wardhani; Lita Budiarti
JURNAL 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.
Co-Authors Julfikar Mawansyah Muhammad Wardhani Panji Doeranto Siti Asmaul Mustaniroh