Article Per Year (5 Year)
p-Index From 2020 - 2025
3.186
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Industri Pertanian Jurnal Ilmu Tanah dan Lingkungan (Journal of Soil Science and Environment) BIOTIK: Jurnal Ilmiah Biologi Teknologi dan Kependidikan Jurnal Agroindustri Jurnal Teknologi Agro-Industri AGRITROPICA : Journal of Agricultural Sciences Agroindustrial Technology Journal PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Agrienvi : Jurnal Ilmu Pertanian Economics and Digital Business Review Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Akuntansi'45 Jurnal Cakrawala Ilmiah Jurnal Kaharati Jurnal Bakti UPPR
Odi Andanu
Agroindustrial Technology Study Program, Faculty Of Agriculture, University Of Palangka Raya, Central Kalimantan Province, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Teknologi Agro-Industri

 1 
Pengukuran Risiko dan Mitigasi Risiko Menggunakan HOR (House Of Risk) Pada Industri Pengolahan Buah Pisang : Risk Measurement and Risk Mitigation Using HOR (House Of Risk) in Banana Fruit Processing Industry Andanu, Odi; Sangadah, Hanik Atus; Wulandari, Sri; Putri, Fina Pradika
Jurnal Teknologi Agro-Industri Vol. 11 No. 2 (2024): Jurnal Teknologi Agro-Industri
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jtai.v11i2.202

Abstract

Banana fruit is one type of fruit that grows well in the tropics. The total production of bananas has increased by 6.85% from 2020 to 2021. There are various potential industries that process banana derivative products, including banana chips in Kepahiyang Regency, Bengkulu. The relatively rapid development of banana chip SMEs is the basis for the need for research related to risk mitigation that may arise in the industry. Research data analysis was carried out using the House of Risk (HOR) method. The results of this study show that 22 risk sources and 14 risk mitigation alternatives are identified in the banana chips industry. From the results of the analysis, it is hoped that several risk mitigation alternatives that can be applied by the banana chips industry will be obtained. The results of the Effectiveness to Difficulty (ETD) rating obtained 3 top ranking results from risk mitigation, namely preparing and providing training for employees (M3) with a value of 20759.25, making planning and controlling raw material inventories more accurate (M10) with a value of 19866, and making and implementing good and correct banana chip production SOP (M4) with a score of 17726.
Desain Sistem Penentuan Kualitas Cuka Apel dengan Metode Fuzzy Inference System (FIS) Tipe 1 dan Tipe 2 Putri, Fina; Andanu, Odi
Jurnal Teknologi Agro-Industri Vol. 12 No. 1 (2025): Jurnal Teknologi Agro-Industri
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jtai.v12i1.219

Abstract

Cuka apel adalah produk alami yang dihasilkan melalui proses fermentasi alkohol dari bahan baku apel. Kualitas cuka apel dipengaruhi oleh beberapa faktor, seperti pH, konsentrasi gula, dan jumlah ragi yang digunakan dalam proses fermentasi. Penentuan kualitas cuka apel yang akurat memerlukan metode yang mampu menangani ketidakpastian dalam parameter-parameter tersebut. Salah satu metode yang dapat digunakan adalah Sistem Inferensi Fuzzy (FIS), yang dapat menangani ketidakpastian linguistik dan numerik. Dalam penelitian ini, desain sistem penentuan kualitas cuka apel dikembangkan menggunakan dua tipe FIS, yaitu FIS tipe 1 dan tipe 2. FIS tipe 1 digunakan untuk menangani ketidakpastian dengan tingkat rendah, sementara FIS tipe 2 dirancang untuk menangani ketidakpastian yang lebih kompleks. Hasil penelitian menunjukkan bahwa FIS tipe 2 lebih efektif dalam menentukan kualitas cuka apel karena dapat menangani berbagai tingkat ketidakpastian pada input dan menghasilkan keputusan yang lebih tepat.
Co-Authors Ahmad Irawan, Ahmad AHMAD RIDUAN Aprilyansyah, Mahdi Surya Ardi Sandriya Dwijayanti, Rts. Sherly Erni Dwi Puji Setyowati Erni Dwi Puji Setyowati, Erni Dwi Puji Erni Setyowati Evi Faridawaty Evi Faridawaty Faqih Udin Faridawaty, Evi Fauziah Fiardilla Hanik Atus Sangadah Hidayat Koto Idsan, Rakha Satya Jaya, Herry Palangka Kristanto Suryadhi Kurniawati, Neny Kusumadati, Wijantri Lukman Hidayat Made Dirgantara Muhammad Jasa Ni Made Anggi Arlina Putri Puji Setyowati, Erni Dwi Putri, Fina Putri, Fina Pradika Rakha Satya Idsan Reni Agustiani, Reni Samsul Arifin Saputera Saputera, H Saputera, Saputera Satriya Nugraha Selvie Mahrita Semboja, Niko Sri Wulandari Sundari, Utari Yolla Suparno Suparno Suparno Suparno Titi Candra Sunarti Utari Yolla Sundari Yustha, Yulia