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All Journal JURNAL REKAYASA DAN MANAJEMEN AGROINDUSTRI
Natasya Damariandini,
Udayana University
Agriculture, Biological Sciences & Forestry Chemistry Immunology & microbiology Industrial & Manufacturing Engineering

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Analisis Produktivitas Produksi Keripik Tempe “Sagu” Ud. Arya Putra Surabaya Dengan Menggunakan Metode Objective Matrix (Omax) Natasya Damariandini,; Bambang Admadi Harsojuwono; I Ketut Satriawan
JURNAL REKAYASA DAN MANAJEMEN AGROINDUSTRI Vol 11 No 3 (2023): September
Publisher : Department of Agroindustrial Technology, Faculty of Agricultural Technology, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JRMA.2023.v11.i03.p11

Abstract

“Sago” tempeh chips are a soy-based snack. UD. Arya Putra is one of the “sago” tempeh chipsproducers in East Java. Productivity measurement is carried out as an effort to evaluate existingproductivity within the company s that the company can develop optimal production targets. TheObjective Matrix (OMAX) method is used to measure the productivity of UD. Arya Putra's “sago”tempeh chip production using 3 criteria, namely efficiency, effectiveness and inferential. The highestpeak of productivity value of “sago” tempeh chips production by UD. Arya Putra was found in August2022 with a productivity index value of 382.9 % and the lowest peak was found in July 2022 with aproductivity index value of 197.6 %. Analysis of the productivity ratio of “sago ” tempeh chips fromUD. Arya Putra who got the highest productivity value, namely ratio 2 (The total value of the productproduced is compared to the total cost of LPG usage) worth 384.1 while the lowest productivity valuewas ratio 6 (Total hours of machine maintenance compared to the total hours of normal machineoperation) worth 231 ,7. Proposals for improving productivity that can be given are reducingemployee working hours to 191 hours, saving LPG gas to Rp. 5,020,062, optimizing the use of rawmaterials to Rp. 19,824,116 increasing the value of the products produced to Rp. 150,659,134 andoptimizing machine working hours to 74 hours per month.
Co-Authors Bambang Admadi Harsojuwono I Ketut Satriawan