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Inventory Level Improvement in Pharmacy Company Using Probabilistic EOQ Model and Two Echelon Inventory: A Case Study Farmaciawaty, Desy Anisya; Basri, Mursyid Hasan; Utama, Akbar Adhi; Widjaja, Fransisca Budyanto; Rachmania, Ilma Nurul
The Asian Journal of Technology Management (AJTM) Vol. 13 No. 3 (2020)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2020.13.3.4

Abstract

Abstract. This research is aimed to maintain the inventory level in a two-echelon pharmacy company. The company is a pharmacy company that has 16 branches that operate in Bandung and the surrounding area. The company has a problem with its high inventory cost. To solve the problem, the authors compare two methods that suit the company condition, i.e., the decentralized system using probabilistic EOQ model and the centralization system using the multi-echelon inventory technique. We analyzed sales data and on-hand inventory data acquired from the company information system to perform the study. We limit the scope to the class A items only. We also assume the lead time, setup cost, and holding cost used in this study with the company's owner's consent. To conclude, using the decentralized system, the company will save 31% of their inventory cost, while using the centralization system with the multi-echelon technique, the company will be able to save 61% of their inventory cost. We recommend the company to refer to its competitive strategy before deciding which model it would be implemented. Keywords:  Centralization, Decentralization, Probabilistic Economic Order Quantity (EOQ), Multi-Echelon Inventory, Pharmaceutical Inventory Management
Operating Expenes Problem-Solving Through Workforce and Process Analysis For a Rubber Manufacturing Plant In Bandung Sontania, Mesli; Utama, Akbar Adhi
Jurnal EMT KITA Vol 8 No 3 (2024): JULY 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/emt.v8i3.2875

Abstract

High operational costs have had a major impact on Bandung's CV XYZ rubber production plant. Labor, specifically in the completed goods section, accounts for the largest portion of operational expenditures, costing Rp 377,190,000. A labor and process efficiency study is required in order to cut expenses. This study intends to evaluate the labor and process performance of CV XYZ's finished goods division and make recommendations for enhancements. CV XYZ has enough capacity, according to the capacity study, to satisfy current demand without going beyond. Small products are used 65.91% of the time, medium products 67.73%, and large products 53.81%. The efficiency rate for medium-sized products is 81.59%, large-sized products is 64.82%, and small-sized products is 79.41%. Waiting waste was identified as the most common process by a thorough process mapping. Eight workers were found to be under load, whereas one worker had a typical workload, according to the workload study. Reengineering business processes proposes integrating components or operations to better. During the rubber vulcanization process, the suggested method cuts down on worker idle time. The new workload distribution is computed using the re-engineered business process as a base. Even though it falls under the under-load category, this leads to fewer employees and a greater burden. By using this suggested method, CV XYZ can save Rp 125.730.000,00, or 33% of its direct labor expenditures
Developing Resilient Power Supply. Case Study: CVM Corp's Eastern Block Nur'Ainy, Erni; Utama, Akbar Adhi
Dinasti International Journal of Education Management And Social Science Vol. 6 No. 5 (2025): Dinasti International Journal of Education Management and Social Science (June
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v6i5.4712

Abstract

This research aims to develop a strategic plan for power infrastructure to support the expansion of production capacity at CVM CORP, with a particular focus on the Eastern Block. The implementation of Eco Mechanized Mining has encountered several key obstacles, including insufficient power supply capacity, high operational electricity costs, slow response to power outages, and significant delays in the development of a new Switching Station (SS), which has been under planning since 2018. Through Current Reality Tree (CRT) analysis, the main root cause was identified as the overreliance on SS TEU as the sole power source for the entire operational zone. To address these issues, the proposed strategy includes the development of a new Switching Station near the company’s PLTU (steam power plant), determination of the optimal site using the Analytic Hierarchy Process (AHP), project scheduling via the Critical Path Method (CPM), cost-efficiency evaluation using full costing and the Levelized Cost of Electricity (LCOE), and investment feasibility analysis utilizing IRR, NPV, and Payback Period metrics. Additionally, the load distribution between SS TEU and the proposed new SS has been redesigned to enhance power efficiency and lower electricity expenses. The results show that a hybrid electricity supply model (PLN–PLTU) substantially reduces electricity costs and helps achieve production targets. The investment also demonstrates strong financial viability, with an IRR of 1398%, a Net Present Value (NPV) exceeding IDR 4.47 trillion, and a payback period of just one year. Project implementation is targeted to start by July 19, 2025, and be completed before October 21, 2026, with continuous risk mitigation throughout the execution phase. This comprehensive strategy ensures greater reliability of the power system and strengthens long-term operational resilience for CVM CORP.
Does Responsiveness Dimensions Play the Key Role in Shaping Patient Satisfaction in Public Hospitals? Fauzana, Adriel; Utama, Akbar Adhi
Journal of Research in Social Science and Humanities Vol 5, No 2 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i1.325

Abstract

This study investigates how Service Quality Dimensions influence patient satisfaction in a public hospital setting, using Syarif Hidayatullah Hospital as a case study. Employing the Service Quality Model, five dimensions, such as Tangibility, Reliability, Responsiveness, Assurance, and Empathy, were analyzed through a Mixed-Method approach that combined quantitative survey data from 120 respondents with qualitative feedback using NVivo Software. The results indicated that Responsiveness, particularly in pharmacy services, was the most influential factor affecting patient satisfaction but also the weakest in performance. Descriptive and inferential statistics showed significant delays in prescription fulfillment, especially for Mixed and Concoction types, with average waiting times exceeding 30 minutes. Qualitative themes further revealed dissatisfaction related to communication breakdowns, lack of queue transparency, and insufficient updates during pharmacy processes. While Empathy and Assurance received high ratings, they could not compensate for operational inefficiencies that shaped patients’ final impressions. The study concludes that enhancing Responsiveness through workflow redesign, digital queue systems, and real-time communication tools is critical to improving overall satisfaction. These findings contribute to healthcare service improvement by emphasizing the strategic role of Responsiveness in public hospital environments.
Reduction Coal Hauling Tonnage Losses using Weigh-In-Motion Truck Scale at PT Borneo Indobara Setiawan, Hary; Utama, Akbar Adhi
Jurnal Syntax Transformation Vol 6 No 5 (2025): Jurnal Syntax Transformation
Publisher : CV. Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jst.v6i5.1070

Abstract

The persistence of manual weighing practices in coal transportation has led to significant revenue losses at PT Borneo Indobara, with a recorded discrepancy of -1.218% in coal tonnage reconciliation during Q4 2023—exceeding the company’s ±0.5% threshold. This research aims to identify the root cause of this issue, evaluate alternative solutions, and propose a strategic implementation plan to eliminate manual weighing. Employing the Current Reality Tree (CRT) method, the study found that the core issue was the absence of prior investigation into weighing alternatives. Using both primary (interviews, FGDs, observations) and secondary data (company reports, standards), three alternatives—Weighbridge, Low-Speed Weigh-in-Motion (LS-WIM), and High-Speed Weigh-in-Motion (HS-WIM)—were assessed using the Analytic Hierarchy Process (AHP) based on accuracy, productivity, and investment cost. The LS-WIM alternative emerged as the most optimal, scoring 0.37, due to its high productivity and moderate cost, despite slightly lower accuracy. Implementation is planned through a structured PDCA-based approach, covering proposal development, tendering, construction, and commissioning. With LS-WIM's expected accuracy of ±2%, the study projects a reversal of revenue loss into a gain of approximately USD 314,963.27, illustrating the business value of replacing manual weighing. This research contributes a novel integration of CRT and AHP methodologies in the coal logistics context and provides an actionable, stakeholder-informed roadmap for technology implementation. Future studies are encouraged to explore long-term performance, hybrid system integration, and cross-industry applicability of weigh-in-motion technologies.
Reliability Improvement Process Case Study: PT HMS Tbk Putri, Sylvania; Utama, Akbar Adhi
Jurnal Bisnis dan Pemasaran Digital Vol. 3 No. 2 (2024): Januari
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jbpd.v3i2.4512

Abstract

Purpose: This study investigates the impact of unplanned and planned downtimes on PR (Production Reliability) performance in the tobacco industry, focusing on a company facing challenges due to COVID-19. Method: A mixed-method approach is employed, combining quantitative data analysis of production lines (Q1 2024) with qualitative interviews. Root cause analysis (Current Reality Tree) and prioritization (Analytical Hierarchy Process) are used to identify and evaluate solutions. Results: The research reveals maintenance focus on critical parts only and untested new materials as key contributors to low PR. Conclusions: Improving Process Reliability at PT HMS requires a dual focus on minimizing unplanned disruptions through predictive maintenance and structured response strategies, while also optimizing planned maintenance to reduce its operational impact. Implementing a comprehensive maintenance framework and validating new materials through rigorous testing will ensure smoother production, fewer disruptions, and enhanced overall performance. Limitations: The study focuses on one company during a specific timeframe. Contributions: This research proposes a framework for improving PR by recommending a comprehensive maintenance plan, thorough material testing, and an implementation plan based on the PDCA cycle. This is expected to lead to enhanced PR, reduced downtimes, and improved operational efficiency.
Developing a Decision Support Framework for Tugboat Capacity Expansion: PT PIT’s Dual-Port Tugboat Operations Nugraha, Cahyo Ady; Utama, Akbar Adhi
INOVASI Vol. 12 No. 1 (2025): Inovasi: Jurnal Ilmiah Ilmu Manajemen
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/Inovasi.v12i1.p357-371.51630

Abstract

Indonesia’s growing coal production has increased pressure on port logistics, particularly tugboat operations that are vital for barge maneuvering. PT PIT, the sole tug service provider for PTBA, currently operates with only two tugboats, resulting in limited capacity and increasing delays in coal shipments. This study aims to develop a decision support framework to optimize tugboat capacity expansion at PT PIT’s dual-port operations (Kertapati and Kramasan). A mixed methods approach is employed, combining quantitative modeling (queuing theory, financial feasibility, and project scheduling) with qualitative insights from stakeholder discussions. The analysis finds that expanding the fleet from two to four tugboats raises daily barge throughput from three to nearly ten, improves turnaround times, and increases PT PIT’s annual net revenue by approximately IDR 19.9 billion. Three procurement alternatives new purchase, operational lease, and financial lease are evaluated using the Analytical Hierarchy Process (AHP), with operational leasing emerging as the most viable due to its flexibility and lower risk. Risk assessment, following ISO 31000:2018 guidelines, identifies 15 critical risks, including capacity shortfalls and mechanical failures, with mitigation strategies proposed. The project is scheduled using PERT and Gantt methods, providing a roadmap for implementation by 2026. This integrated framework supports scalable, cost-efficient, and risk-mitigated logistics performance to meet Indonesia’s rising coal export demands.
Handling of Sticky Coal During the Process of Unloading Coal from the Wagon at Kertapati Port Afin, Bayu Pramana; Utama, Akbar Adhi
INOVASI Vol. 12 No. 1 (2025): Inovasi: Jurnal Ilmiah Ilmu Manajemen
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/Inovasi.v12i1.p384-393.51688

Abstract

Coal unloading operations at Kertapati Port face persistent inefficiencies due to the adhesive nature of low-rank coal, which frequently sticks to the inner surfaces of train carriages, causing delays, increased operational costs, and reduced unloading performance. This study aims to formulate a feasible and effective strategy to mitigate the issue of sticky coal during the unloading process to support the achievement of production and transportation targets. Using a mixed-methods approach, the study integrates the Current Reality Tree (CRT) to identify root operational bottlenecks, the Analytic Hierarchy Process (AHP) to prioritize technical solutions, the Critical Path Method (CPM) and PERT for project scheduling, and financial feasibility analysis through NPV, IRR, and Payback Period. The results indicate that applying a stainles steel lining to the interior of boat-type train carriages is the most effective solution to reduce coal adhesion. Financially, the proposed investment is attractive, yielding an IRR of 66%, an NPV of IDR 29.1 billion, and a payback period of two years. The project is scheduled to begin on August 1, 2025, and complete by November 14, 2025. Continuous risk management measures are also planned throughout implementation. This integrated solution not only addresses the immediate operational inefficiencies but also supports long-term improvements in coal handling reliability and port logistics performance.
Strategic Optimization to Enhance Effective Jetty Operations at Kertapati Port Sukmadanu, Luthfi; Utama, Akbar Adhi
Community Engagement and Emergence Journal (CEEJ) Vol. 6 No. 5 (2025): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v6i5.9183

Abstract

This study addresses operational challenges at Kertapati Port, where barge delays, poor stakeholder coordination, and lengthy administrative processes hinder efficiency. Using the Current Reality Tree (CRT) analysis, the research identifies root causes that reduce jetty throughput and extend vessel waiting times, leading to higher operational costs. To overcome these issues, three solutions were proposed: (1) developing integrated Standard Operating Procedures (SOPs) for berthing/unberthing and administration, (2) adding standby tugboats to ensure smoother berthing operations, and (3) decentralizing administration through an operational office at the jetty. The Analytical Hierarchy Process (AHP) was applied to prioritize these alternatives, while financial feasibility was evaluated using Net Present Value (NPV) and Internal Rate of Return (IRR). Results indicate that implementing integrated SOPs is the most effective solution, significantly reducing idle time and enhancing loading and unloading processes. A 2025 field trial of draft SOPs improved coal loading efficiency to an average of 500 MT/hour, with potential for notable annual throughput growth. Cost simulations suggest savings of thousands of USD per month, mainly by lowering demurrage costs. Furthermore, a real-time digital monitoring system has improved coordination, administrative speed, and schedule accuracy. The study recommends continuous evaluation using Key Performance Indicators (KPIs) and the Theory of Constraints (TOC) to sustain improvements and foster future innovations.
Optimizing Pipeline Inspection Program To Balance Safety, Compliance, And Cost Efficiency: A Case Study At Petrotama Putra, Primasatria Zhes; Utama, Akbar Adhi
Eduvest - Journal of Universal Studies Vol. 5 No. 10 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i10.51386

Abstract

PetroTama operates an extensive pipelines network to support the production of 160,000 barrels of oil per day, equivalent to 26% of Indonesia’s daily production. These pipelines are used as a main oil transportation system in PetroTama, making it one of the main critical assets to sustain production performance. In order to maintain the production capacity, PetroTama has to ensure that the entire pipelines network operates safely and reliably that can only be achieved by implement robust pipeline inspection program. However, currently PetroTama is facing a significant gap with only 37% of its pipeline network inspected to date and leaving 5,480 km of pipelines having no inspection data. This condition also exposes PetroTama to serious impacts related to safety, compliance, and cost efficiency. The objective of this study is to evaluate the current conditions, identify root causes, and propose potential business solution for optimizing PetroTama’s pipeline inspection program by following DMAIC (Define, Measure, Analyze, Improve, Control) methodology. The main causes of the problems are assessed by utilizing Current Reality Tree (CRT) that reveals two primary root causes: budgetary constraints and the absence of regular improvement on the inspection program. The solution for this study is focused on the improvement of inspection program, since the budget availability is considered as a given condition. The Analytical Hierarchy Process (AHP) combined with Spreadsheet Simulation are used to find the best potential business solutions for the problems.