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All Journal Jurnal Teknik Industri Journal of Engineering and Management in Industrial System JRSI (Jurnal Rekayasa Sistem dan Industri) GEMA EKONOMI International Journal of Applied Business Research Journal of Applied Business, Taxation and Economics Reseach Indonesian Journal of Multidisciplinary Science Jurnal Locus Penelitian dan Pengabdian Journal of the Civil Engineering Forum Competitive Jurnal Multidisiplin Indonesia
LIANE OKDINAWATI, LIANE
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Aerospace Engineering Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Transportation Veterinary

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Analytical Hierarchy Process for Optimizing Engines Operation by Procurement Strategies: A Case Study Resnamurti, Dhanang; Okdinawati, Liane
Indonesian Journal of Multidisciplinary Science Vol. 2 No. 8 (2023): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v2i8.494

Abstract

This research aims to examine of finding best choice type of contract for supporting critical engines operation and performance (including for maintenance and repairment). The researchers used Multi Criterion Decision-Making method with tool of Analytical Hierarchy Process, which data gather from survey and sampling from practitioners. They also used simplification of contract types from critical variable of contract such as price, quality, and delivery criterion. Criterion acquired from Forum Group Discussion with Subject Matter Expert. The research discovered that existing contracts vary and still many cases of unplanned shutdown lack of support from spare parts and other supports as a product form existing contracts.
Enhancing Embankment Stability Assessment in Mining Operations through Fiber Optic Instrumentations: A DMAIC Approach Leonardo, Samuel; Okdinawati, Liane
Indonesian Journal of Multidisciplinary Science Vol. 2 No. 9 (2023): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v2i9.591

Abstract

This paper proposes a comprehensive solution to enhance embankment stability assessment in mining company's tailings management operations through the implementation of Fiber Optic instrumentations. The current monitoring solutions lack real-time capabilities, hindering timely assessment and mitigation of embankment stability issues. Fiber Optic cables provide sensing capabilities to detect vibrations and measure temperature variations, enabling early detection of structural issues within embankments. Real-time monitoring allows continuous assessment and immediate identification of potential risks. Implementing fiber optic cable instrumentations enhances embankment stability assessment, ensuring safety and minimizing failures. Data-driven decision-making is empowered through accurate and real-time data, enabling efficient resource allocation. The implementation follows a DMAIC (Define, Measure, Analyze, Improve, Control) approach, ensuring a comprehensive analysis and step-by-step plan. In conclusion, fiber optic cable instrumentations offer valuable enhancement to embankment stability assessment in mining's tailings management operations. Real-time monitoring, accuracy, and precision contribute to proactive measures and improved decision-making. Implementing this solution strengthens embankment stability practices, safeguards surrounding areas, and maintains regulatory compliance, fostering resilience and sustainability in mining operations.
ERP-Based Redesign of Inbound Supply Chain Processes in a Indonesian Multiunit SME Nathanael, William; Okdinawati, Liane; Terminanto, Agung
Journal of Applied Business, Taxation and Economics Research Vol. 5 No. 2 (2025): December 2025
Publisher : PT. EQUATOR SINAR AKADEMIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54408/jabter.v5i2.467

Abstract

This study aims to examine how business process reengineering accompanied by the implementation of an ERP system (Odoo) can improve the efficiency and accuracy of internal processes in a multi-unit SME in Indonesia. The background to this study is the challenges of cross-unit business coordination, manual process inefficiencies, and lack of data visibility that impact internal supply chain performance. This research employs a qualitative approach through in-depth interviews and field observations, verified through business process modeling and simulation using Bizagi Modeler.The research findings indicate that the business processes prior to the redesign, with ERP implementation, were characterized by fragmented coordination of raw materials, slow approval processes due to manual procedures, and inaccurate data recording. Projected results indicate that process time can be reduced by up to 75%, inventory discrepancies can be reduced by 15% to 3-5%, and cross-unit miscommunication can be significantly reduced. Simulation results using Bizagi show that the total number of lots that can be produced over 60 days increases from 980 to 991 lots. The average time for internal production can be reduced from 3 days and 5 hours to 2 days and 17 hours as recording accuracy improves through the ERP system. These findings emphasize the importance of in-depth process analysis, top management commitment, and structured change management strategies for the successful implementation of ERP systems.
An Inventory Control Model for Deteriorating Items with Probabilistic Demand Under Delay In Payment and Budget Constraint Prayuda, Uud; Okdinawati, Liane
Jurnal Locus Penelitian dan Pengabdian Vol. 5 No. 1 (2026): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v5i1.5538

Abstract

This study develops an inventory control model for products that experience degradation under probabilistic demand by simultaneously combining delays in permitted payments and budget constraints. In a real operational setting, inventory decisions are increasingly challenged by demand uncertainty, declining product quality, financial constraints, and payment policies offered by suppliers. To overcome this complexity, the probabilistic inventory model is formulated with the aim of minimizing the total cost of inventory per unit of time, which consists of ordering costs, warehouse storage costs, quality degradation costs, shortage costs, and financial storage costs, while taking into account the interest earned during the credit period. This model considers two payment scenarios: when the allowable payment delay occurs before the end of the recharge cycle and when the delay exceeds the length of the cycle. The decision variables in this study are optimal order lot sizes, safety stock, and reorder points, as well as budget constraints imposed to ensure financial feasibility. Numerical experiments show that extending payment delays beyond the recharge cycle significantly reduces total costs by eliminating financial storage costs. Further sensitivity analysis revealed that the total cost and optimal order quantity were highly sensitive to the cost of ordering, the level of demand, and the rate of damage, while financial parameters showed a relatively marginal influence. These results confirm that the proposed model provides a more realistic and robust decision-support framework for the inventory management of damaged products under conditions of demand uncertainty and financial constraints.
INDUSTRIAL ECOLOGY AS THE PRECURSOR GRAND THEORIES TO CIRCULAR ECONOMY: BIBLIOGRAPHIC MAPPING OF 112 LITERATURE Sitadewi, Dania; Yudoko, Gatot; Okdinawati, Liane
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 9 No. 2 (2021)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract: Environmental degradation require business to rethink their way of doing business. Industrial Ecology (IE) is a paradigm change that allows a cyclical resource-use in which Circular Economy (CE) rethink and recycle the waste generated into a industrial input, thereby reducing environmental burden. Industrial Ecology (IE) is one of the most referenced grand theories for Circular Economy (CE). This research aims to map IE to CE bibliographically to identify research trends, prominent researchers, and countries with the most publication. This research's methodology is bibliographic mapping of 112 articles using VOSviewer in three steps: data acquisition, data processing, and visual output. This research has identified three research findings. The first finding is the identification of five clusters that correspond with the current research trend. The second finding is identifying Geng Y., Lai K.H., and Zhu Q. as the leading researchers for CE and IE. The third finding is China is the leading country for CE and IE research. The implication is China aiming to transform its industry into environmentally more sustainable. Future research topic venue can incorporate other grand theories to expand the theoretical and practical focus of CE.
Co-Authors Adzhani, Indira Ayu Andriyanto, Achmad Arif Imran Bambang Pramono BASUKI RAHMAD Belgiawan, Prawira Fajarindra Chintamy Christini, Chintamy Fransisca Budyanto Widjaja, Fransisca Budyanto Gatot Yudoko Leonardo, Samuel Mahira Imron, Faqih Marla Setiawati Maulana, Fakhrian Mustofa, Firzainy Jiddan Nathanael, William Prayuda, Uud Resnamurti, Dhanang Santoso, M. Setyawan Sitadewi, Dania Terminanto, Agung Togar M Simatupang Wirayat, Mohamed Yusuf Faridian