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All Journal JAM : Jurnal Aplikasi Manajemen Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) AGRI-TEK : Jurnal Penelitian Ilmu-ilmu Eksakta
Yandra Arkeman
Institut Pertanian Bogor
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Analisis Kriteria Penting Berjenjang untuk Seleksi Enterprise Resource Planning (ERP) pada Industri Otomotif Joko Ratono; Kudang Boro Seminar; Yandra Arkeman; Arif Imam Suroso
Jurnal Aplikasi Manajemen Vol 13, No 2 (2015)
Publisher : Jurusan Manajemen Fakultas Ekonomi dan Bisnis Universitas Brawijaya

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Abstract: The selection of ERP is the first important phase in lifecycle of ERP adoption. Itinfluences the implementation and considers as one of critical success factors. There are sixhierarchical important criteria for the selection of ERP in which were developed in thisresearch, covering: quality standard of software product (ISO25010), quality of use(ISO25010), vendor & consultant, fit strategy with delta model theory, the change of managementand cost. Expert surveys and one-way ANOVA test were conducted in order to testthe validity of the criteria. The result shows that all six criteria above are the importantcriteria to be considered in ERP selection for automotive industry and have the same importancebetween each other.Keywords: ERP selection, hierarchical important criteria, quality standard of ISO25010, delta model
The Clustering Rice Plant Diseases Using Fuzzy C-Means and Genetic Algorithm Faza Adhzima; Yandra Arkeman; Irman Hermadi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 2 (2022): April 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (487.237 KB) | DOI: 10.29207/resti.v6i2.3912

Abstract

Rice is an agricultural sector that is very important for Indonesia's economy. The main problem with rice plants is pest and disease control which has a hazardous impact and economic losses for farmers. The apparent characteristics of rice leaves have a greater area than other plant structures; rice leaves can be applied for the early diagnosis of rice plant diseases. The approaches employed are fuzzy C-Means (FCM) and Genetic Algorithm-Fuzzy C-Means (GA-FCM). The center of the cluster is obtained while adopting genetic algorithms for optimization. The primary dataset used in this research is Teaching Sawah Farm IPB, and the second dataset is UCI Rice Leaf Diseases. According to the comparison results, the GA-FCM optimization results in a higher level of clustering precision with a 65% optimal cluster center point on the silhouette coefficient value compared to just 60% for FCM. This research shows that the proposed method can add 5% accuracy to the clustering results in correctly identifying rice plant diseases.
ANALISIS DAN DESAIN RANTAI PASOK KAKAO BERBASIS BLOCKCHAIN Dian Ardifah Iswari; Yandra Arkeman; Muslich Muslich
JURNAL AGRI-TEK : Jurnal Penelitian Ilmu-Ilmu Eksakta Vol. 20 No. 2 (2019): JURNAL AGRITEK
Publisher : Universitas Merdeka Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.426 KB) | DOI: 10.33319/agtek.v20i2.55

Abstract

The supply chain in the 4.0 era wanted consumers to be closer to producers. Problems that occur in the supply chain are supply chain information flow is still long, there is no transparency, marketing coverage is less extensive, and documentation of activities is not good. The purpose of this study is to analyze the condition of the Kelompok Tani X cocoa supply chain and to identify the attributes of the blockchain based group cocoa supply chain farmers. The method used is the System Development Life Cycle (SDLC). The results obtained are that the supply chain information flow in the X farmer group is still overlapping, and has not been systematic. Actors consist of farmers, farmer leaders, processing factories (Kelompok Tani X), and retailers. Activities that occur are signing up, logging in, filling content, transactions, shipping, validation, and returning goods.
ANALISIS DAN DESAIN RANTAI PASOK KAKAO BERBASIS BLOCKCHAIN Dian Ardifah Iswari; Yandra Arkeman; Muslich Muslich
JURNAL AGRI-TEK : Jurnal Penelitian Ilmu-Ilmu Eksakta Vol. 21 No. 2 (2020): JURNAL AGRITEK
Publisher : Universitas Merdeka Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (579.134 KB) | DOI: 10.33319/agtek.v21i2.56

Abstract

Abstract— The supply chain in the 4.0 era wanted consumers to be closer to producers. Problems that occur in the supply chain are supply chain information flow is still long, there is no transparency, marketing coverage is less extensive, and documentation of activities is not good. The purpose of this study is to analyze the condition of the Kelompok Tani X cocoa supply chain and to identify the attributes of the blockchain based group cocoa supply chain farmers. The method used is the System Development Life Cycle (SDLC) and Unified Modelling Languange. The results obtained are that the supply chain information flow in the X farmer group is still overlapping, and has not been systematic. Actors consist of farmers, farmer leaders, processing factories (Kelompok Tani X), and retailers. Activities that occur are signing up, logging in, filling content, transactions, shipping, validation, and returning goods. The conclusion is the supply chain activities of the Kelompok Tani X have not been documented. The blockchain system that is designed is adjusted to the situation, so it is expected to be able to make the administration and documentation system better.  Keywords—: Agroindustry 4.0; supply chain; system development life cycle; transparency; unified modelling languange.
Co-Authors Arif Imam Suroso Dian Ardifah Iswari Faza Adhzima Irman Hermadi Joko Ratono Kudang Boro Seminar Muslich .