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All Journal Jurnal Teknologi Industri Pertanian E-jurnal Agro-Industri Indonesia Jurnal Manajemen dan Agribisnis Jurnal Ilmu Komputer dan Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Agrointek Indonesian Journal of Business and Entrepreneurship (IJBE) Sinergi Journal of Regional and City Planning Journal of ICT Research and Applications agriTECH Scientific Journal of Informatics Industria: Jurnal Teknologi dan Manajemen Agroindustri Jurnal Sistem dan Manajemen Industri Faktor Exacta JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Teknologi Agro-Industri International Journal of Supply Chain Management Kilat Indonesian Journal of Electrical Engineering and Computer Science Airlangga International Journal of Islamic Economics and Finance SEAS (Sustainable Environment Agricultural Science) JURNAL TEKNIK INDUSTRI Jurnal Sistem Informasi Buletin Ilmiah Litbang Perdagangan
Taufik Djatna
Departemen Teknologi Industri Pertanian, Fakultas Teknologi Pertanian, Institut Pertanian Bogor, Kampus Institut Pertanian Bogor Darmaga Bogor 16680
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Social Sciences Transportation Other

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Digital community readiness assessment for cocoa agroindustry in Lampung Dianawati Dianawati; Nastiti S Indrasti; Taufik Djatna; Andes Ismayana; Indah Yuliasih
AGROINTEK Vol 18, No 1 (2024)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v18i1.19105

Abstract

The Cocoa agroindustry requires future changes based on information technology that provide significant value benefits for organizations/companies (digital transformation). The experience during the pandemic required us to transform digitally. Cocoa agroindustry stakeholders such as cocoa farmers, farmer facilitators, and regulators have not been responsive to this, and the industry does not know what to do. The urgency of assessing the readiness for technology adoption in the cocoa agroindustry in Indonesia is urgently needed so that all stakeholders can feel the implementation of 4.0-based technology. What are the benefits of digital transformation to increase productivity, value creation, and social welfare in the industry?  This study aims to investigate and identify profiling of technology-based adoption, develop quantitative and qualitative models of TRI 2.0 and validate the assessment results. In this work, we take the case of agroindustry in Lampung province by involving cocoa agroindustry stakeholders. The technology readiness index 2.0 methodology provides a comprehensive framework with the result that the value of the Optimism variable is 1.05, the Innovativeness variable is 1.01, the Discomfort variable is 0.6, and the Insecurity variable is 0.75. The results of calculating the TRI 3.5 value, including the Intermediate Technology Readiness Index (Medium). The TRI value can be interpreted as Lampung cocoa agroindustry stakeholders in this case have have information and communications technology (ICT) potential and are not resistant to using new technology. Hopefully this will become a milestone for establishing a cocoa agroindustry community within the framework
Early fault detection system for sugar mill machines through various machine learning approach Thabed Tholib Baladraf; Taufik Djatna; Agriananta Fahmi Hidayat; Akhmad Fatikhudin; Helynda Mulya Arga Retha; Zulfikar Dabby Anwar
Jurnal Sistem dan Manajemen Industri Vol. 9 No. 2 (2025): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v9i2.10530

Abstract

The milling machine is a crucial aspect of the sugarcane agroindustry production system; a disturbed milling machine will cause a decrease in production efficiency, sap quality degradation, and excessive energy consumption. An early fault anomaly detection system through machine learning is a solution to overcome the problems in sugarcane milling machines. The purpose of this research is to propose a system architecture design for early fault anomaly detection in sugarcane agroindustry milling machines and to evaluate the performance of various machine learning models on historical sensor data, identifying the most promising approach. This study proposes a novel anomaly detection framework for sugarcane milling machines to advance smart monitoring in agro-industrial systems. Using an empirical dataset of 7,673 sensor instances (temperature, vibration, pressure, and humidity), and applying several machine learning algorithms (logistic regression, decision tree, and random forest), the framework integrates multi-sensor data to improve fault prediction and reduce downtime. The results showed that the random forest had the best accuracy, at 98.13%, followed by the decision tree, at 97.87%, and logistic regression, at 89.70%. Feature contribution analysis reveals that the vibration signal is the most dominant contributing factor among other features. The results show that machine learning is a potential approach for predicting faults in sugarcane milling machines, which can help the sugarcane agriculture industry make informed decisions in the event of disturbances in these machines.
Co-Authors Afifah Nur Arfiana Agus Buono Agus Mulyana Aisah Rini Susanti Akhmad Fatikhudin Andri Agung Riyadi Annisa Annisa Asep Herman Suyanto Basrum Basrum Betaubun, Kamilius D Dadan Kusdiana Delfitriani Dianawati Dianawati Dianawati Dinar Ajeng Kristiyanti Ditdit N Utama E Gumbira Said Eddy Prasetyo Nugroho Erliza Hambali Erliza Noor Erna Rusliana Muhamad Saleh Erni Krisnaningsih Fadly Akbar Saputra Faqih Udin Galih Kurniawan Sidik Galih Kurniawan Sidik Hasbi Rahma Yani Helynda Mulya Arga Retha Hendra Utama Heru Sukoco Hidayat, Agriananta Fahmi Ifri Handi Lubis Imas Sukaesih Sitanggang Indah Yuliasih Irfan Wahyudin Irman Hermadi Irwansyah Saputra Irwansyah Saputra Irzaman, Irzaman Kamilius Deleles Betaubun Khusun, Helda Laksana Tri Handoko Lira Ruhwinaningsih M Amirul Ghiffari M. Syamsul Maarif Machfud Machfud Marimin , Ma’ruf Pambudi Nurwantara Muhammad Romli dan Suprihatin Andes Ismayana Muslich Muslich Nastiti S Indrasti Nastiti S.I. Nastiti Siswi Indrasti Neny Rosmawarni Nina Hairiyah Paduloh Paduloh Petir Papilo Puspa Eosina Rahmat Fadhil Rahmat Wahyudi Nasution Ramdani, Ahmad Luky Riki Ruli A. Siregar Riki Ruli A. Siregar, Riki Ruli A. Rina Fitriana Rina Fitriana Ruhul Amin Sambas Sundana Sapta Rahardja Sarinah Sarinah Sergius Sarmose Manggara Putra Sarmose Manggara Putra Silmi Azmi Sitanggang, Imas S. Siti Yuliyanti, Siti Sony Hartono Wijaya Sukardi Sukardi Sukardi Sukardi Sukardi Sukardi Suprihatin Suprihatin Tanti Novianti Teniwut, Wellem Anselmus Thabed Tholib Baladraf Ummi Safrianti Vonny Setiaries Johan Windi Habsari Winnie Septiani Wisnu Ananta Kusuma Yandra Arkeman Yandra Arkeman Yani Nurhadryani Yogi Purna Rahardjo Yusianto Rindra Zulfikar Dabby Anwar