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All Journal Journal of Tropical Food and Agroindustrial Technology Journal of Soilscape and Agriculture
Widianto, Zidan Eka
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Agriculture, Biological Sciences & Forestry Environmental Science

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Supplier Selection Based on Green Procurement of Agricultural Commodities of Cassava: Environmental Perspective From Jember Regency Danang Kumara Hadi; Assadam, Ahib; Widianto, Zidan Eka; Renadi, Berino
Journal of Soilscape and Agriculture Vol. 1 No. 2 (2023): March 2023
Publisher : University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (496.937 KB) | DOI: 10.19184/jsa.v1i2.284

Abstract

Industrial developments and increasing consumer concern for the environment and the issue of environmentally sound industrial concepts have forced the industry to adjust the concept of green industries in every business, including in procurement, which is better known as green procurement. Supplier selection is an important decision-making problem to get suppliers who can increase the company's competitiveness. This research was conducted in Jember regency to evaluate and select cassava suppliers based on green procurement using the AHP method. The criteria used are 6 criteria, namely quality, technology capability, pollution control, environment management, green product, and green competence. Each criterion has sub-criteria between 3 or 4 sub-criteria. The number of sub criteria is used to determine the RI value. The RI value is used to calculate the CR value of each criterion. The results of data processing show that the highest CR value is in the technology capability criteria and the lowest CR value is in environment management. The highest hierarchical criterion value for environmental management criteria is 0.273, because the selection of cassava suppliers can be expected to pay attention to environmentally sound controls.
Analysis of Robusta Coffee Bean Supply Chain Performance Using SCOR and AHP Methods (Case Study : KSU Buah Ketakasi Sidomulyo): Analisis Kinerja Rantai Pasok Biji Kopi Robusta dengan Metode SCOR and AHP (Studi Kasus : KSU Buah Ketakasi Sidomulyo) Putra, Andika; Wardhana, Danu Indra; Nalawati, Ara Nugrahayu; Widianto, Zidan Eka
jurnal makanan tropis dan teknologi agroindustri Vol 7 No 01 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jtfat.v7i01.1661

Abstract

Abstract. Jember Regency is one of the regions with promising prospects in the plantation sector, specifically coffee cultivation. Its coffee production is the second largest in East Java after Malang Regency. Sidomulyo Village, Silo District, has been designated as the leading foreign exchange earner in Jember Regency due to its ability to export coffee. This achievement was made possible through collaboration between the Buah Ketakasi Multipurpose Cooperative (KSU) and several large companies. In 2022, the total harvest of the Buah Ketakasi KSU reached 1,560 tons of green beans. With the rapid development of the global market, demand for coffee commodities has also increased significantly. Therefore, it is crucial to make improvements that can enhance the company's quality. The objectives of this study were (1) to analyze the robusta coffee bean supply chain structure at the Buah Ketakasi KSU in Sidomulyo and (2) to analyze the robusta coffee bean supply chain performance at the Buah Ketakasi KSU in Sidomulyo. This research was conducted at the Buah Ketakasi KSU in Sidomulyo Village, Silo District, Jember Regency. The research was conducted from May to July 2024. The SCOR and AHP methods were used. The results showed two streams in the robusta coffee bean supply chain structure: stream 1, starting with farmers, KSU Buah Ketakasi Sidomulyo, and consumers, while stream 2, starting with farmers, collectors, KSU Buah Ketakasi Sidomulyo, and consumers. Based on the calculations, the total supply chain performance score was 80.854, indicating that KSU Buah Ketakasi Sidomulyo's supply chain performance is at the Average level on a scale of 0-100.
Co-Authors Andika Putra Ara Nugrahayu Nalawati Assadam, Ahib Renadi, Berino Wardhana, Danu Indra