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All Journal Jurnal Teknologi Industri Pertanian Jurnal Inkofar
Wajdi, Muhammad Raihan
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Medicine & Pharmacology Public Health Transportation

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IMPLEMENTATION OF SOFT SYSTEM METHODOLOGY DEVELOPMENT OF A DECISION SUPPORT SYSTEM BASED ON THE INTERNET OF THINGS INTHE SUNFLOWER AGRO-INDUSTRY SUPPLY CHAIN Nurhasanah, Nunung; Wajdi, Muhammad Raihan; Mudrikah, Isna Ibnah; Adhipramana, Ivan; Samijayani, Octarina; Adlina, Ginang Natilla; Muthohar, Akhmad; Alfathsyah, Arrasyid; Aribowo, Budi; Haryadi, Dody
Jurnal Teknologi Industri Pertanian Vol. 34 No. 2 (2024): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2024.34.2.149

Abstract

Sunflower (Helianthus annuus L.) has the potential for high added economic value to be developed. Indonesia has the opportunity to develop a sunflower agro-industry which is processed into cooking oil. There has not been much research related to the sunflower agro-industry supply chain. A plan for improvements to the supply chain cannot yet be carried out, because the situation in the supply chain has not been comprehensively elaborated. Therefore, this research aimed to analyse the situational supply chain of the sunflower agribusiness. The method used was soft system methodology developed by Checkland. This research has succeeded in designing a conceptual model that produces two human activities, namely: 1) Development of production devices for the drying process of sunflower seeds based on the Internet of Things, (2) Utilization of the Blynk application to support the decisions on the sunflower agro-industry supply chain network, and (3) Development of the prototype digital platform decision support system on the production device based on internet of things. These three activities are also recommendations given as corrective actions to increase the productivity of the sunflower agro-industry. Recommended actions have also been successfully assessed through RE3IS. Future development of this research is to build a digital prototype of an internet of thongs-based decision support system platform that can be easily accessed by sunflower agro-industry managers. The stages in this research are still limited to the recommendation stage for corrective action. The implementation stage can be used as research development in the future. Apart from that, situational analysis is still limited to upstream and intermediate supply chain networks. Therefore, situational analysis of the downstream supply chain network can be carried out in the future. Keywords: cooking oil, internet of things, soft system methodology, sunflower seed, sunflower agro-industry supply chain
OPTIMIZATION OF CONSTRUCTION PRODUCT DISTRIBUTION NETWORK USING TRANSPORTATION SYSTEM DESIGN AND LINEAR PROGRAMMING APPROACH Elfantoro, Indra; Dewi, Yulida Intani; Herdiana, Mochamad Rafi; Yasin, Rahmat; Wajdi, Muhammad Raihan
Jurnal Inkofar Vol 9, No 2 (2025)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46846/jurnalinkofar.v9i2.487

Abstract

This study optimizes the construction product distribution network in the Jakarta area using a Transportation System Design approach and Linear Programming (MILP and VRP) implemented in Python programming. The primary goal is to minimize total travel distance, delivery time, and transportation costs without violating vehicle capacity constraints, customer demand, and operational time windows. Optimization results show a 30% reduction in total travel distance from 5,830 km to 4,061 km and transportation cost savings of up to 8.1% or approximately IDR 23 million per month. The computation process is efficient, completing in under 30 seconds, enhancing accuracy and reducing human error. This optimization supports on-time delivery, maintains product quality, improves customer satisfaction, and operational efficiency, including reduced fuel consumption and carbon emissions. Practical recommendations include setting a Minimum Order Quantity (MoQ), using larger capacity trucks, and improving real-time communication and vehicle tracking to support more effective distribution management in the construction industry
Co-Authors Adhipramana, Ivan Adlina, Ginang Natilla Alfathsyah, Arrasyid Budi Aribowo Dewi, Yulida Intani Elfantoro, Indra Haryadi, Dody Herdiana, Mochamad Rafi Mudrikah, Isna Ibnah Muthohar, Akhmad Nunung Nurhasanah Samijayani, Octarina Yasin, Rahmat