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All Journal Journal of Advanced in Information and Industrial Technology (JAIIT) Journal of Social Research Journal Research of Social Science, Economics, and Management Jurnal Pendidikan Indonesia (Japendi)
Niniet Indah Arvitrida
Institut Teknologi Sepuluh Nopember, Indonesia
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Inventory Management Of Gasoline Ron 92 And Gasoil 0,05% Sulphur With Monte Carlo Simulation Satriyo Hadi Wibowo; Niniet Indah Arvitrida
Journal of Social Research Vol. 4 No. 7 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i7.2608

Abstract

Fuel (BBM) is a strategic commodity that plays a crucial role in supporting various economic sectors. PT XYZ, one of the fuel suppliers in Timor Leste, faces significant challenges in ensuring a stable and timely supply. Issues such as demand fluctuations, lead time uncertainty, and limited storage capacity often trigger stockout risks and additional operational costs such as demurrage. In 2023, PT XYZ recorded two stockout events and two potential demurrage occurrences, resulting in financial losses and missed sales opportunities. This study adopts a Monte Carlo simulation approach to model the variability of daily demand and lead time more realistically. Three inventory control methods are evaluated: the Min-Max method, the (s,Q) method, and the (s,S) method, across three demand scenarios: normal, +20% increase, and -15% decrease. Key performance indicators analyzed include Economic Order Quantity (EOQ), Safety Stock (SS), Reorder Point (ROP), total cost, and service level. The simulation was conducted over 851 days to reflect actual operational conditions. The results show that the Min-Max method performed best under the low-demand scenario, with the lowest total cost and no stockouts. The (s,Q) method provided the best balance between ordering frequency, operational cost, and service level in the normal demand scenario. Meanwhile, the (s,S) method demonstrated less efficient performance under the high-demand scenario due to higher stockouts and increased holding costs. These findings recommend adopting inventory control strategies that are adaptive to demand dynamics and consider storage capacity limitations to enhance PT XYZ’s fuel supply chain efficiency and resilience.
Implementation of The Main Distribution Material Inventory Control Policy (MDU) Using The Continuous Review Method at PT PLN (Persero) Up3 Sukabumi Satria Achmad Hazim; Niniet Indah Arvitrida
Journal of Social Research Vol. 4 No. 8 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i7.2687

Abstract

The electricity industry is a strategic sector in the Indonesian economy, with PT PLN (Persero) as the main company responsible for the distribution of electrical energy. UP3 Sukabumi serves 54,636 New Install (PB) customers and 26,744 Power Change (PD) customers during the 2022-2023 period. The achievement of the lowest Service Quality Level (TMP) was due to the unavailability of Main Distribution Materials (MDU) by 46%. This study aims to optimize the control of MDU inventory using the Continuous Review (s,S) method with a Monte Carlo simulation approach. The classification of materials based on ADI-CV shows smooth and erratic characteristics with an ADI value of < 1.32. The results showed an increase in service level from 78-94% to 82-97% and a decrease in total inventory costs in 9 out of 10 materials studied. The optimal parameters obtained for MCB 25A material are s = 65 and S = 150 with a service level of 96%. The implementation of this method has a positive impact in the form of improving customer service, inventory cost efficiency, and achieving the company's TMP targets.
A Case study of Mitigating Risk of Invoice Payment Failure At Electricity Provider Company using the House of Risk Method Widyasari Retnaningtyas; Niniet Indah Arvitrida
Journal of Advances in Information and Industrial Technology Vol. 7 No. 2 (2025): Nov
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v7i2.713

Abstract

Considering that a complicated or delayed invoice payment process can disrupt business operations, the company must establish mitigation measures to prevent such occurrences and minimize potential failures that may hinder future business processes. This context specifically involves collaboration with business partners or vendors providing services and materials. This research aims to map out the activities within the invoice payment business process, identify risk events and related risk agents, and formulate mitigation strategies to reduce their negative impact. The House of Risk (HOR) method is utilized to prioritize risks according to Aggregate Risk Potential (ARP) scores then the scores will be classified with a Pareto diagram. This study aims to offer actionable recommendations for risk mitigation, mostly in digitalization and automation of systems that can help lower the rate of document rejections and accelerate the overall payment cycle. Ultimately, these improvements will contribute to increased operational efficiency and reinforce vendor confidence, ensuring that high-value invoices are processed more reliably and promptly.
Perancangan Awal Model Sistem Dinamik Pada Sistem Pengendalian Persediaan Material Utama Untuk Distribusi Listrik Diajeng Anjarsari Rahmadani; Niniet Indah Arvitrida
Jurnal Pendidikan Indonesia Vol. 6 No. 7 (2025): Jurnal Pendidikan Indonesia (Japendi)
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v6i7.8466

Abstract

Inventory management requires coordinated efforts among internal and external stakeholders. The electric power distribution service unit faces challenges in inventory management. Operational constraints including order cycles, fluctuating waiting times, and the absence of buffer stock must be managed while adhering to mandatory service standards, resulting in complexity and uncertainty. The study adopts a dynamic systems approach to identify key stakeholders and map their interdependencies. A causal circle diagram (CLD) is used to visualize and analyze the dynamics of the problem. Then a dynamic system model design was developed to understand the system and find areas for improvement.
Risk Management Design For Light Vehicle Unit In Rental Company Hanny Kanavika Rizky Munawar; Niniet Indah Arvitrida
Journal Research of Social Science, Economics, and Management Vol. 4 No. 12 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v4i12.930

Abstract

This study aims to design risk management for a vehicle rental company in East Kalimantan using the Enterprise Risk Management (ERM) approach and the House of Risk (HOR) model. The transportation industry, particularly vehicle rentals, faces various risks that can disrupt the company's operations and performance. These risks include vehicle damage, delays in spare parts delivery, and payment issues from customers. This research will design Risk Management by applying Enterprise Risk Management (ERM) using the ISO 31000:2018 approach. In this study, the HOR method is used to identify, analyze, and prioritize risks and risk agents. This research combines the Failure Mode and Effect Analysis (FMEA) and Quality Function Deployment (QFD) methods to provide an integrated framework in risk management analysis. The results of the study indicate that the implementation of structured risk management can improve the company's operational effectiveness and efficiency. The proposed mitigation strategies include enhancing vehicle maintenance, staff training, and developing better monitoring systems. By implementing ERM and HOR, it is expected to manage risks more effectively, reduce the negative impact of occurring risks, and achieve the company's objectives more efficiently.
Co-Authors Diajeng Anjarsari Rahmadani Hanny Kanavika Rizky Munawar Satria Achmad Hazim Satriyo Hadi Wibowo Widyasari Retnaningtyas