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Sumiati Sumiati
Universitas Pembangunan Nasional “Veteran” Jawa Timur,
Medicine & Pharmacology Public Health

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Cost Optimization in Spare Parts Inventory with Lagrange Method Mochammad Novrizal Adjietama; Sumiati Sumiati
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11047

Abstract

General Background: Managing spare parts inventory is crucial for maintaining operational efficiency in manufacturing industries. Specific Background: PT ABC experienced overstocking of steel plate materials, causing increased storage costs and exceeding warehouse capacity. Knowledge Gap: Current company methods lack optimization under space constraints, leading to inefficiencies. Aims: This study aims to determine the optimal order quantity that minimizes total inventory costs while considering warehouse space limitations. Method: The Lagrange Multiplier approach was applied to optimize inventory levels under capacity constraints, using data on demand, ordering and holding costs, and storage volume. Results: The proposed method reduced total inventory costs to Rp46,259,547, compared to Rp185,458,780 using the company’s approach, achieving a 75.05% reduction. Novelty: Unlike standard EOQ-based systems, this study integrates Lagrange Multipliers to handle physical constraints, producing feasible and cost-effective solutions. Implications: Implementing this approach in similar manufacturing contexts can significantly reduce storage costs and prevent inefficiencies caused by overstocking.Highlights: Lagrange Multiplier reduced inventory costs by over 75%. Optimal inventory levels aligned with warehouse limits. Forecasting enhanced ordering precision for future cycles. Keywords: Inventory Management, Lagrange Multiplier, Spare Parts, Warehouse Capacity, Cost Reduction
HEART Framework Evaluation of M-Paspor User Experience: Evaluasi UX Aplikasi M-Paspor dengan Metode HEART Framework Novita Ramadayanti; Sumiati Sumiati
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11143

Abstract

General Background: In the era of digital transformation, the success of public service applications depends significantly on user experience (UX). Specific Background: The M-Paspor application by the Directorate General of Immigration Indonesia was developed to streamline passport services but suffers from low public ratings and recurring user complaints. Knowledge Gap: Despite its potential, comprehensive UX metrics that consider both functional and emotional dimensions have not systematically evaluated the application. Aims: This study aims to assess the usability of the M-Paspor application using the HEART Framework, which evaluates five key dimensions: Happiness, Engagement, Adoption, Retention, and Task Success. Results: From 100 user responses, the application scored high in Engagement (0.75), Retention (0.71), Happiness (0.66), and Adoption (0.64), but only medium in Task Success (0.57). Three dimensions did not meet the 70% usability target, revealing critical shortcomings in interface design, onboarding guidance, and payment or scheduling features. Novelty: This research applies the HEART Framework as a stand-alone evaluative tool to systematically diagnose user experience issues in a government mobile application. Implications: The findings offer actionable recommendations to improve M-Paspor’s usability and provide a replicable model for evaluating other public digital services. Highlights: 1. Engagement scored highest at 0.75 usability level. 2. Task Success dimension did not meet the target. 3. Design, guidance, and access features require improvement. Keywords: HEART Framework, M-Paspor, Usability, User Experience, Public Service App
Co-Authors Mochammad Novrizal Adjietama Novita Ramadayanti