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The Effect of Labor Flexibility on Firm Performance in Indonesian Telecommunication Industry Natasaputra, Nugraha; Kusumastuti, Ratih Dyah
INTERNATIONAL RESEARCH JOURNAL OF BUSINESS STUDIES Vol 7, No 2 (2014): August-November 2014
Publisher : Universitas Prasetiya Mulya

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Abstract

A Decision-Making Model for Community-Based Food Industry to Support Poverty Alleviation in East Indonesia: Case Study of East Sumba Regency Ratih Dyah Kusumastuti; Fanny Martdianty; Rifelly Dewi Astuti; Nurmala Nurmala
APMBA (Asia Pacific Management and Business Application) Vol 5, No 1 (2016)
Publisher : Department of Management, Faculty of Economics and Business, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (986.912 KB) | DOI: 10.21776/ub.apmba.2016.005.01.1

Abstract

Provinces in the eastern part of Indonesia still have high percentage of residents living below the poverty line. However, some provinces are the producers of food commodities. The One Village One Product (OVOP) movement has been proven to be able to reduce the poverty level and can be implemented in East Indonesia, especially by developing the community-based food industry. The objective of the research is to develop a decision making model to determine the best suitable community-based food industry to be developed optimally in East Indonesia using Analytic Hierarchy Process (AHP). We identify five criteria for the model from the literature and interviews with experts, namely resources, demand, supporting industries, strategy and competitiveness, and supports from government and other parties. We apply the model for the case of East Sumba regency of the East Nusa Tenggara (NTT) province, to select from alternatives, namely cassava, banana, corn and peanut-based food industries. The results show that banana-based industry is chosen as the best-suitable community-based food industry, mainly due to the uniqueness of the banana-based product and high production of banana in the area.
The Effect of Labor Flexibility on Firm Performance in Indonesian Telecommunication Industry Nugraha Natasaputra; Ratih Dyah Kusumastuti
INTERNATIONAL RESEARCH JOURNAL OF BUSINESS STUDIES Vol 7, No 2 (2014): August-November 2014
Publisher : Universitas Prasetiya Mulya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21632/irjbs.7.2.1127

Abstract

Lean Operations Implementation at An Indonesian Shoe Producer Antonio, Bonny Tofani; Kusumastuti, Ratih Dyah
The South East Asian Journal of Management Vol. 13, No. 1
Publisher : UI Scholars Hub

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Abstract

Research Aims: We analyse the impact of lean operations implementation on the performance of an Indonesian shoe producer, identify key success factors of the implementation and propose further improvements to increase company performance Design/Methodology/Approach: A mix of quantitative and qualitative methods is employed. Comparisons of operational and financial performance before and after implementation are conducted to analyse the program's impact. In-depth interviews with six representatives from the shoe producer and its vendor are conducted to rank the key success factors and gain insights into their lean operations implementation. Research Findings: The shoe producer experienced a significant increase in performance after implementing lean operations, and the five most important success factors of the implementation were management commitment and involvement, teamwork, communication, cultural-change management and sustainability of improvement activities. The current performance can still be improved by utilising information technology, implementing a Kanban system, providing direct delivery of raw materials and reducing lead times. Theoretical Contribution/Originality: The paper provides new insights into the challenges faced by the Indonesian shoe producer, especially in its operations and highlights five critical success factors of lean operations implementation. Managerial Implications in the Southeast Asian Context: Results of the present study can be used by other companies in a similar industry in the region to improve their operations and financial performance. Research Limitations and Implications: The impact of implementing lean operations with the proposed improvements to the company's costs and revenues has not been studied in detail.
Determining Criteria for Supplier Selection in the Indonesian Oil and Gas Industry Habibah, Nur; Kusumastuti, Ratih Dyah
The South East Asian Journal of Management Vol. 14, No. 2
Publisher : UI Scholars Hub

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Abstract

Research Aims - This research aims to identify the main criteria of supplier selection in the oil and gas industry in Indonesia and their causal relationships by using the DEMATEL method. Methodology - Based on the literature review and discussions with experts, ten supplier selection criteria were identified and used as the basis of questionnaire development. The questionnaire was distributed to 57 respondents representing supply chain management and other divisions in eight oil and gas companies in Indonesia, with 51 valid responses. The data was analyzed using the DEMATEL method. Research Findings - The results show that product price is the most important criterion, while technical ability was the least important criterion. Moreover, six criteria (product quality, product price, technical ability, service, production capability, and financial situation) were identified as the cause criteria and require more attention compared to the other four effect criteria (delivery performance, stable delivery of goods, lead time, and reaction to demand change in time). Theoretical Contribution/Originality - The research provides insights on the important criteria of supplier selection in oil and gas companies in Indonesia and their causal relationships. Managerial Implications in the Southeast Asian Context - The results can be used by oil and gas companies to better select their suppliers. Research Limitations and Implications - This study uses a non-stratified sample from eight oil and gas companies in Indonesia, which may not accurately represent the Indonesian oil and gas industry.
Enhancement Supply Chain Control Tower to Reduce Inventory Parts of Heavy Equipment at PT The Biggest Heavy Equipment Company in Indonesia Meidi Dwiyana; Ratih Dyah Kusumastuti; Yosman Bustaman
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 4 (2022): Budapest International Research and Critics Institute November
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i4.7121

Abstract

As a leading heavy equipment distributor in Indonesia, PT. The Biggest Heavy Equipment Company in Indonesia is very concerned about after-sales service as an advantage compared to competitors. Keeping the service level based on target but, it was accompanied by a decrease in working capital as one of the goals of PT. The Biggest Heavy Equipment Company in Indonesia that was establishing a tower in its supply chain concept. This research was conducted at PT. The Biggest Heavy Equipment Company in Indonesia as the owner of the largest market share of heavy equipment in Indonesia. This thesis analyzed the performance of the Supply Chain Control Tower process in the company by using the Supply Chain Operations Reference (SCOR) 12.0 framework. PT. The Biggest Heavy Equipment Company in Indonesia manages supply chain business as a stocked product business, where the company prepares a number of inventories to ensure customer purchasing needs. The results of the analysis at SCOR level 1 show that all strategic metrics are below the set targets. So that at SCOR level 2, an in-depth analysis is carried out with Geographic maps and Thread diagrams that show potential problems in Enable Process (sE2), Plan Source (sP2) and Delivery (sD1) activities. Finally, results of SCOR level 3 analysis using a fishbone diagram reveal that the root cause of the problem is leak of internal company supply chain management, and we recommend to suggest the strategy for enhancement supply chain control tower at PT the Biggest Heavy Equipment Company in Indonesia.
A Comparative Study of Demand Forecasting for Aftermarket Parts in Heavy Equipment Industry (PT XYZ Case Study) Mahmudi; Ratih Dyah Kusumastuti; Yosman Bustaman
Emerging Markets : Business and Management Studies Journal Vol. 9 No. 2 (2022)
Publisher : Directorate of Academic Research and Community Services

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33555/embm.v9i2.197

Abstract

The global economic crisis has reached the world today, forcing many customers to become more cost aware in their search for better quality and service, and forcing corporate organizations to discover more effective and efficient ways to compete among them. The main objective of this research is to choose the best forecasting method to predict the demandfor spare parts at PT. XYZ highly fluctuating, and to avoid or minimize stockouts. The demand for high-priced spare partsand capital goods is considered discontinuous if it is random and contributes a large part of the inventory value. Fluctuating demand for goods will be difficult to predict, and inaccurate estimates can cause huge losses for the company due to obsolescence of spare parts or unfulfilled demand for spare parts. Running a successful company operation today requires organizational strength to supply the needs of its customers. This study discusses the appropriate demand forecasting method for the fluctuation demand for spare parts products at an Indonesian companynamed PT. XYZ. This study compares four forecasting methods to predict the demand for spare parts at PT. XYZ is the ABCAnalysis, the Moving Average, the Simple Exponential Smoothing (SES) and Exponential Smoothing (ES) with TrendAdjustment. This study uses demand data for 2017-2020 to forecast demand in 2021 and uses the optimum alpha value of0.4065 for SES which is obtained by calculating using MS Excel Solver and uses alpha value of 0.5 and beta value 0.3 for ES with Trend Adjustment. The performance of this forecasting method is determined based on the smallest mean absolute percentage error and the level of forecasting accuracy (tracking signal) which is close to zero, and the results of this study indicate that the use of the Exponential Smoothing with trend adjustment method has the best performance compared to the other three methods.
Analysis of an Indonesian food bank sustainability using system dynamics simulation Salsabila Izzati Syalianda; Ratih Dyah Kusumastuti
Interaction, Community Engagement, and Social Environment Vol. 1 No. 1: (July) 2023
Publisher : Institute for Advanced Science Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/icese.v1i1.2023.174

Abstract

Foodbank is an organization that obtains food from donor organizations and individuals, proceeds the donated food products at storage facilities and distributes them to the end users, either directly or indirectly via charitable institutions. Foodbanks have been developed in several countries to tackle food waste and hunger problems. This research uses the case of FoodCycle Indonesia (FCI) as one of the food banks in Indonesia that has been in operation since 2017. The purpose of this study is to analyze the sustainability of FCI using system dynamics simulation to identify the factors that influence its sustainability. We develop the initial model based on literature and modify it according to interview results with representatives from FCI and its two partners (charitable organizations that redistribute the donated food to beneficiaries). The model consists of partners, wedding partners, food redistribution, transportation cost, community, volunteers, beneficiaries, and food balance subsystems. Based on the simulation results it can be concluded that FCI will be sustainable as long as the growth of the food supply is constant, and the organization has the financial ability to support the distribution of donated food to the beneficiaries.
Inventory Analysis using Multi-Criteria ABC and ISM Method – A Case Study in Indonesia’s Aviation MRO Dita Pradini; Ratih Dyah Kusumastuti
Quantitative Economics and Management Studies Vol. 5 No. 1 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems2166

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Level of inventory plays a crucial role in managing the supply chain in a company, one of which is Aircraft Maintenance, Repair, and Overhaul (MRO) Company. This paper will analyze the material inventory in one of Indonesia’s aircraft MRO companies by categorizing the material and focus on finding the root causes of the high inventory level. ABC Analysis using multiple criteria will be used to categorize the aircraft spare parts inventory. The categories will then be used as the Focus Group Discussion (FGD) topic to gain and determine several root causes of the phenomena. FGD results will then be further analysed using Interpretative Structural Matrix (ISM) to see if there are some interrelationships between root causes. The high inventory level of aircraft spare parts inventory root causes will be specifically determined by analyzing the A category of ABC Classification as this category represents 70% of the inventory. Based on the analysis, it is recommended to solve the root causes extracted from the ISM first to lower the inventory level. This study will be useful for managers to determine the strategy to make the inventory lower impacting on the increase of company’s profit increase.