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All Journal HAYATI Journal of Biosciences Jurnal Teknologi Industri Pertanian Jurnal Teknik Industri ASEAN Journal of Systems Engineering Teknotan: Jurnal Industri Teknologi Pertanian TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Engineering and Technological Sciences Jurnal Optimasi Sistem Industri agriTECH Proceeding of the Electrical Engineering Computer Science and Informatics Industria: Jurnal Teknologi dan Manajemen Agroindustri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal Otomasi Kontrol dan Instrumentasi JURNAL PANGAN Kaunia: Integration and Interconnection of Islam and Science Journal Agroindustrial Journal Teknologi dan Industri Pertanian Indonesia AGRARIS: Journal of Agribusiness and Rural Development Research JURNAL INOVASI TEKNIK INDUSTRI Jakadimas
Mirwan Ushada
Department Of Agro-industrial Technology, Faculty Of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

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Journal : Agroindustrial Journal

 1 
Application of Analytical Network Process and Conditional Probability Co-occurrences Matrix for Business Modelling of Small-Medium Enterprises Mirwan Ushada; Henry Yuliando
Agroindustrial Journal Vol 2, No 1 (2013)
Publisher : APTA and DTIP FTP UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.825 KB) | DOI: 10.22146/aij.v2i1.24999

Abstract

In Indonesia, the scope of agroindustry are related to the food and non-food industry managedby Small-Medium Enterprises (SME). The classical problem of Indonesian Agroindustry wererelated to logistic, infrastructure, technology, high-cost economy, regulation, and financingconstraint. Therefore, an innovative business model is required for competitive and sustainableSME. Importance rate of the model can be defined by determining some criteria in a businessmodel. Analytical Network Process (ANP) is required to determine importance rate of businessmodel. However, ANP could not minimize the subjectivity factor of the respondent indetermining the criteria. Application of Conditional Probability Co-occurrences Matrix (CPCM)is required to minimize the subjectivity factor by comparing priority weight of each criterias. Theresearch objectives are: 1) To apply ANP method for representing business model criteria andattribute of SME; 2) To apply CPCM method for criteria pattern extraction. The case study ofresearch is SME Bakpia Tela Ungu and Telopia. CPCM Pattern extraction of Contrast, Energyand Local Homogeneity indicated the significant different of business model criteria betweenfood, non-food agroindustry and local governmental board. The research results indicated thatthere were different subjectivity to determine criteria priority weight.
Assessment of Workers’ Body Temperature and Workload in Tomato Production Greenhouse Work Rizky Silalahi; Mirwan Ushada; Mohammad Affan Fajar Fallah; Kotaro Takayama; Noriko Takahashi; Hiroshige Nishina
Agroindustrial Journal Vol 3, No 1 (2014)
Publisher : APTA and DTIP FTP UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (502.034 KB) | DOI: 10.22146/aij.v3i1.25029

Abstract

Many workers work in the tomato production greenhouse in Japan, exposed to unfavorable environmental conditions during their work, especially in the summer season. In this study, workers’ body temperatures of internal, facial, and head area temperature were measured, so did the workers’ workload. They were related to environmental conditions of solar radiation and air temperature to clarify their relationships. Three workers in semi-commercial tomato production greenhouse were employed for this research. Jobs were classified into upper and lower canopy job, to examine the working condition in the greenhouse. Ear thermometer and thermal camera were used to measure worker’s body temperatures. Workload of the jobs was assessed and determined the level with Heart Rate Reserve (HRR). Workers’ heart rate itselves was measured using finger pulseoxymeter. Significant correlations were found between workers’ body temperature and environmental conditions. Worker’s workload could change on changing environmental conditions. Workload level of tomato production greenhouse job is considered low, as the job relatively does not require heavy physical work.
Planning Occupational Safety and Health Management System (OSHMS) Based on The Covid-19 Pandemic Guidance at So Good Food Dairy Company Ali Al Farisi; Mirwan Ushada; Moh. Wahyudin
Agroindustrial Journal Vol 8, No 1 (2021)
Publisher : APTA and DTIP FTP UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1140.494 KB) | DOI: 10.22146/aij.v8i1.73544

Abstract

Companies need an Occupational Safety and Health (OSH) culture based on a new life guidance during the Covid-19 pandemic. The application of OSH at So Good Food Dairy Company is moderate, though there are no control measures to minimize this risk. This study further aimed to analyze the application of OSH in the workplace and determine the implementation of the OSH Management System (OSHMS). Furthermore, it focused on identifying the probability of accidents at each workstation and proposed risk mitigation plans and anticipatory steps. Questionnaires were then administered to collect primary data from 62 respondents at the So Good Food Dairy Company’s processing, filling, packing, and storage workstations. Similarly, secondary data were obtained from documented information about the company’s OSH. All the respondents provided valid answers with a Cronbach alpha value of 0.9671, considered very reliable. Moreover, the questionnaire responses showed that So Good Food Dairy Company was rated highly by workers. Failure Mode and Effects Analysis (FMEA) was used to identify the factors causing work accidents and Risk Priority Number (RPN), while recommendations for improvement were made based on the Hazard Identification Risk Assessment & Risk Control (HIRARC) principles. A total of 12 probability accidents were observed in processing, four in filling and packing, and six in storage. Therefore, this study proposes an OSH design that includes an OSHMS planning based on clauses ISO 45001:2018 and ISO/PAS 45005:2020. Additionally, seven OSH programs and a risk mitigation road map using the Pareto Chart principle to set priorities were recommended.
Fried Chicken Consumer’s Preference and Purchase Decision Analysis During Covid 19 Pandemic Era Febrianisa Yulia Sandita; Ibnu Wahid Fakhrudin Aziz; Mirwan Ushada
Agroindustrial Journal Vol 9, No 1 (2022)
Publisher : Department of Agroindustrial Technology, Faculty of Agricultural Technology UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/aij.v9i1.80860

Abstract

This study aims to observe the decision-making process on fried chicken purchases, and identify the most considered attribute, and combination of attributes based on consumer preference in the Covid-19 pandemic era. The pandemic has altered consumer behavior and consumption patterns, leading to changes in the food industry. Understanding how consumer preferences have shifted can help businesses adapt their strategies to better serve their customers. The data were collected using the questionnaire method through the Google Form platform with respondent criteria being fried chicken consumers who had purchased fried chicken at least twice in the last six months with the number of respondents being 135. The questionnaire consisted of two parts, the first part is about the consumer's purchase decision-making process and the second one is about the consumer's preference for fried chicken. Price, serving, purchase state, and packaging are the attributes chosen to identify consumer preferences using the conjoint analysis method. This study shows consumer habits in the decision-making process of buying fried chicken and consumers’ preferences toward the price, serving, purchase state, and packaging of fried chicken. Product attributes were the most considered based on importance level Price (40.73%), Purchase state (33.57%), Serving (16.99%), and Packaging (8.70%). The combination of fried chicken product attributes that are preferred by consumers according to the utility value of each level attribute is less than 15.000 IDR of price, served with rice/fried chicken and vegetables, purchased in ready-to-eat (takeaway/delivery) form and using paper box packaging.
Co-Authors Adiatmaja, Firstama Saka Afif Hakim Afif Hakim Agus Hasan Hidayat Aina Musdholifah Ainuri, Makmudun Ali Al Farisi Ali Parkhan Arief Abdurrakhman Atris Suyantohadi Atris Suyantohadi Bambang Suhardi Bambang Suhardi Didik Purwadi Fahrurozi, Muh Falah, Muhammad Affan Fajar Febrianisa Yulia Sandita Fitri Trapsilawati Guntarti Tatik Mulyati GUSMON SIDIK Hani Febri Mustika Haruhiko Murase Henry Yuliando Hiroshige Nishina Ibnu Wahid Fakhrudin Aziz Islam, Md Parvez Istikomah, Sintha Jafri Mohd Rohani Kotaro Takayama Kuncoro Harto Widodo Lilik Sutiarso Makhmudun Ainuri Maman Zuriwiatma Mayasti, Nur Kartika Indah Moh. Wahyudin Mohammad Affan Fajar Falah Muhammad Jimly Imamuddin Murase, Haruhiko Nafis Khuriyati Nindya Laksita Laras Nora Yuanita Restantin Nora Yuanita Restantin Noriko Takahashi Nur Aini Masruroh Nur Kartika Indah Mayasti Nur Kartika Indah Mayasti Okayama, Tsuyoshi Pradita, Sintia Putri Pringgo Widyo Laksono Pringgo Widyo Laksono Prita Nurindahsari Putro, Nur Achmad Sulistyo Ririn Nur Alfiani Riza Ovita Risqi Rizky Silalahi Saroyo, Pujo Titis Wijayanto Tsuyoshi Okayama Tsuyoshi Okayama Tsuyoshi Okayama Wagiman, Wagiman Wahyu Supartono Yun Prihantina Mulyani