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All Journal EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis International Journal of Supply Chain Management The International Journal of Business Review (The Jobs Review) International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS)
Dermawan Wibisono
School of Business and Management, Bandung Institute of Technology
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Environmental Science Industrial & Manufacturing Engineering Transportation Other

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Building a Model of Suitable Performance Management Framework Reno Renaldi Tibyan; Dermawan Wibisono; Mursyid Hasan Basri
International Journal of Supply Chain Management Vol 8, No 1 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (899.494 KB)

Abstract

This paper aims to develop a conceptual performance management framework and a theoretical model to determine a suitable performance management framework. The study uses a systematic approach to determine an appropriate performance management framework, which encompasses the process of identifying issues related to performance management, conducting a thorough literature review, identifying gaps through comparing and contrasting the performance management frameworks, identifying theorised constructs, developing a conceptual framework, and building a theoretical model. The results of this study suggest that the proposed conceptual performance management framework applies an input-process-output-outcome model to indicate performance measurement as part of performance management and to describe a complete process of transforming performance measures data into reliable performance information. Five suggested factors to determine a suitable performance management framework have been identified in a developed theoretical model, which include a useful method for modelling a system, management control tool, framework applicability, performance measurement, and practical guidelines for performance management system. This study identifies and suggests five criteria for determining a suitable performance management framework. Other aspects can be included to develop more robust criteria. Theoretical verification needs to be undertaken to examine the conceptual variables of the proposed framework. The developed theoretical model is subject to empirical testing. This study encourages performance management research concerning a thorough process of developing performance management framework and establishing criteria and a model to determine a suitable performance management framework.
Integrating Behavior and Technology-based Quality Management System to Improve Raw Milk Quality Collected by Bandung Dairy Cooperative Meita Annisa Nurhutami; Dermawan Wibisono
The International Journal of Business Review (The Jobs Review) Vol 5, No 1 (2022): The International Journal of Business Review. June 2022
Publisher : Fakultas Pendidikan Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/tjr.v5i1.50437

Abstract

Abstract. Milk quality is represented by Total Plate Count (TPC) value, the indicator of microbial contamination number in milk after production. The standard value is determined and set by the Codex and SNI 3141:1:2011 standards. The higher the TPC value, the lower the quality of the raw milk. This value determines the category of milk quality which impacts the payment scheme and the quantity of milk supplied to the Milk Processing Industry. As a consequence, farmers who collected lower quality milk received unfavorable financial outcomes.The aim of the research was to eliminate defects in milk quality by focusing on the quality control in the production system using Six Sigma approach. The Defects per Million Opportunity (DPMO) calculation was used to measure the quality of product in every one million opportunities. In this study, the DPMO showed 155,854 defects in every one million milk bulk collection held in 5 TPK. Two factors which decreased milk quality were the contamination in the milking process and in the milk collection process.To overcome the issue, technology and behavioral-based quality management systems are integrated to control the milk production and collection effectively and efficiently. Digital milk collection point is proposed to avoid contamination during milk collection through digitalization of data recording, milk test performed to individual samples, and access to test results. The digitalization can decrease the required time of milk collection and testing process. To raise the awareness of farmers towards quality and good farming practice, barn inspection is implemented using farming procedure infographics, Good Farming Practice training, and farmer certification.Keyword. quality management system; dairy industry; digital milk collection; technology; behavior
Proposed Methodology For Indonesian State-Owned Enterprises To Conduct Corporate Spin-Off Adrian Pasca; Dermawan Wibisono; Ima Fatima; Taufik Faturohman; Herry Hudrasyah; Alpha Pudjono
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 3 (2024): Juli
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i3.5509

Abstract

This research addresses the absence of a formal framework for compliance with corporate spin-offs within Indonesian state-owned enterprises (SOEs). Focusing on a real issue within a state-owned aviation company, the study proposes a comprehensive methodology for SOEs to navigate spin-offs, ensuring adherence to regulatory requirements. By collecting and interpreting relevant regulations and conducting interviews where guidelines are unclear, the research establishes detailed flowcharts outlining the step-by-step procedure. The suggested solution involves following these flowcharts, considering five critical aspects, including government regulation and business law, to successfully implement spin-offs. It is important to note that the proposed methodology is specific to Indonesian state-owned enterprises and is based on government regulations as of November 2023. Users should adapt the methodology in case of regulatory amendments or new compliance-related issues. The research, however, focuses solely on the steps leading to the commencement of new entity operations and does not extend beyond this phase.
PROPOSED DESIGN OF STRATEGIC SOURCING AND PRODUCTION BOTTLENECK MANAGEMENT FOR REVENUE MAXIMIZATION: AN OPERATIONAL PERFORMANCE ANALYSIS OF PT. ELSEWEDY ELECTRIC INDONESIA Agung Sukma Hardana; Dermawan Wibisono
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 5 No. 1 (2025): February
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v5i1.2496

Abstract

This study aims to analyze strategic sourcing and production bottleneck management to maximize revenue of PT. Elsewedy Electric Indonesia. The company faces challenges in meeting increasing market demand, especially in the renewable energy sector. The company's main challenge is the mismatch between current production capacity, which is optimized for medium to high capacity transformers, and market demand that is shifting towards smaller transformers. This study uses qualitative and quantitative approaches. Qualitative data were collected through semi-structured interviews with five stakeholder: (1) General Manager, (2) Head of Production, (3) Production Manager and (4) Sourcing Manager from PT. EEI. Quantitative data include historical production data, cycle time data from MOST (Maynard Operation Sequence Technique) studies, and actual machine or workspace data. SWOT analysis is used to map sourcing strategies, and MOST studies are used to calculate production cycle time and plant capacity. The Balanced Scorecard (BSC) is implemented to align operational performance with long-term financial targets. The Balance Scorecard covers four perspectives, namely financial, customer, internal process, and learning & growth, with a total of 10 strategic objectives. The research findings show that the Dry Oven and testing stages are bottlenecks in the production process. The maximum monthly capacity is 14 units or equivalent to 840 MVA, while the winding process can produce 19 units or equivalent to 1140 MVA. Strategic recommendations include the application of vapor phase drying technology can reduce drying time by 20%, diversifying suppliers for long-term delivery materials by adding 2-3 new vendors, implementing the optional strategy of building Testbay 3 to increase testing capacity by 30%, and reallocating 50% of production to high-value MV/HV transformers, which is projected to increase annual output from 10,080 MVA to 12,983 MVA. The limitation of this study is that no investment calculations were made on the optional strategy of building the new Testbay 3. The scenario implementation recommendations are divided into two stages: (1) Short term, including the implementation of vapor phase drying technology, supplier diversification, and the implementation of effective product portfolio reallocation, and (2) Optional strategy including the construction of Testbay 3 taking into account the strategic evaluation of scenario 1.
Co-Authors Adrian Pasca Agung Sukma Hardana Alpha Pudjono Herry Hudrasyah Ima Fatima Meita Annisa Nurhutami Mursyid Hasan Basri Reno Renaldi Tibyan Taufik Faturohman