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All Journal JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Jurnal Ilmiah Teknik Industri OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Industria: Jurnal Teknologi dan Manajemen Agroindustri Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika STI Policy and Management Journal
Hermawan Thaheer
Universitas Pakuan
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Medicine & Pharmacology Transportation Other

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Journal : OPERATION EXCELLENCE: Journal of Applied Industrial Engineering

 1 
Integrasi sustainability dan MCDM untuk kelayakan teknologi sterilisasi pada pendirian pabrik CPO terintegrasi palm kernel oil Sawarni Hasibuan; Hermawan Thaheer
Operations Excellence: Journal of Applied Industrial Engineering VOL 12, NO 3, (2020): OE NOVEMBER 2020
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2020.v12.i3.012

Abstract

In the palm oil processing, one of the most important stages is boiling the fresh fruit bunches or sterilization, because it greatly determines the yield and quality of the CPO produced. The purpose of this study was to analyze the selection of sterilizer technology by considering the sustainability factor. A case study was conducted at PTPN V which is planning to expand its production capacity. The data used in this study consisted of primary data and secondary data. Primary data obtained from distributing questionnaires, interviews and field observations. Respondents of this study were stakeholders of the palm oil mill and PTPN V. This research combines qualitative and quantitative approaches. Qualitative analysis was conducted to describe the sterilization technology for processing fresh oil palm fruit bunches into CPO. Financial viability is evaluated based on the best sterilization technology recommendations. The results of the analysis recommend horizontal sterilized-indexer technology as a priority, followed by vertical sterilization technology and continuous sterilization technology. By paying attention to the sustainability criteria, the PKS design is integrated with PKO. This integration has implications for energy efficiency, kernel transportation, other utility facilities, and even a number of work units and personnel. The investment for the construction of PKS with a capacity of 45 tons/hour using horizontal-indexer sterilization technology requires a fund of IDR 170.8 billion were declared feasible with an IRR of 26.64%, a positive NPV, a B/C ratio of 2.23, and a PBP of 6 years and 5 months. The results of the sensitivity analysis to the assumption of an increase in production costs of 6 percent have not changed the recommendation, as well as a decrease in factory processing capacity by 6 percent.
Analisis Risiko Pada Rantai Pasok Industri Minuman Siap Saji Jus Buah Dengan Pendekatan SCOR-FMEA Sawarni Hasibuan; Hermawan Thaheer; Joko Supono; Irhamni Irhamni
Operations Excellence: Journal of Applied Industrial Engineering Vol 13, No 1, (2021): OE March 2021
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2021.v13.i1.010

Abstract

The beverage industry is one of the leading national industries with high growth and a very tight level of competition. The risk supply chain management approach is one of the driving factors for the sustainability of the industrial supply chain. The purpose of this study is to analyze the risk supply chain management to support the sustainability of the beverage industry supply chain in the case of fruit juice beverage products. The data used in this study consisted of primary data and secondary data. Primary data obtained from distributing questionnaires, interviews and field observations. The respondents of this research are the beverage industry supply chain stakeholders. This research combines qualitative and semi-quantitative approaches. Qualitative analysis is conducted to describe activities and risks in the beverage industry supply chain. Risk analysis is carried out using a semi-quantitative approach. The risk evaluation in the supply chain of the fruit juice beverage industry combines the SCOR-FMEA method. The risks that are classified as High and Priority are then analyzed by using the Fishbone Diagram as a reference for formulating risk mitigation strategies for the sustainability of the supply chain for the juice beverage industry.
Application of gaussian filter and extraction features for quality control of fruit raw materials in the puree industry Sulistyo, Soma; Thaheer, Hermawan; Qur’ania, Arie
Operations Excellence: Journal of Applied Industrial Engineering Vol. 15, No. 3, (2023): OE November 2023
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2023.v15.i3.087

Abstract

The purpose of research in using Android-based raw material quality control applications in fruit puree factories is to enhance the industry's precision, uniformity, and efficiency. This application is developed to implement digital image processing utilizing two distinct methods: Gaussian filters and feature extraction. The implemented application captures guava data using the camera of an Android phone and subsequently resizes the image to dimensions of 600x600 pixels. Subsequently, the image colors are recovered by employing a Gaussian filter that operates on normalized Red-Green-Blue values. A minimum of 120 photos of red guava fruit from the raw material of one of the puree companies were subjected to image processing procedures. The application solely focuses on the color and texture of the fruit's skin, ensuring that the sample remains undamaged while adhering to hygienic guidelines. The ripeness degree of guava fruit is determined by employing an image classification algorithm with the K-nearest neighbor method. The application validation using K-fold cross-validation achieved an accuracy of 90.0% and a precision of 90.27% when applied to color imagery. When feature extraction was used, the accuracy was 83.3%, with a precision of 83.4%. Color extraction provides a more precise method for identifying ripe guava. The utilization of guava fruit ripeness detection in the quality control of raw materials for the puree sector has been simplified and made more user-friendly through the development of an Android-based application. Officers are not obligated to possess specialized expertise regarding the quality of raw materials. 
Co-Authors Amar Ma'ruf Fia Sri Mumpuni Irhamni Irhamni Joko Supono Qur’ania, Arie Sawarni Hasibuan Sulistyo, Soma Yunita, Ika