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Optimization of logistics distribution costs using the NWCR, MODI, and stepping stone methods Fristi Riandari; Hengki Tamando Sihotang; Hikmah Adwin Adam; Afrisawati Afrisawati
Jurnal Mantik Vol. 10 No. 1 (2026): May : Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v10i1.7177

Abstract

Logistics distribution is a crucial component of the supply chain that impacts a company's operational efficiency. Inaccuracy in allocating goods distribution can increase transportation costs and reduce the effectiveness of distribution services. Therefore, an optimization method capable of producing a distribution pattern with minimum costs is needed. This study aims to analyze the optimization of logistics distribution costs using the North West Corner Rule (NWCR), Modified Distribution Method (MODI), and Stepping Stone methods in determining optimal distribution solutions. The study uses a quantitative approach with a transportation model. The research data include distribution costs, supply capacity, and demand from several warehouses to the distribution area. The initial solution was obtained using the NWCR method, then its optimality was tested using the MODI and Stepping Stone methods. The analysis was carried out by comparing the total distribution costs generated by each method. The results showed that the NWCR method produced an initial solution with a total distribution cost of Rp154,000,000. After optimization using the MODI and Stepping Stone methods, the total distribution cost was successfully reduced to Rp128,500,000, or a savings of 16.56%. The MODI and Stepping Stone methods yield the same optimal solution, but the MODI method has a more efficient iteration process. The combination of the NWCR, MODI, and Stepping Stone methods has been proven to improve the efficiency of a company's logistics distribution costs. This approach can be used as an alternative decision-making tool for optimizing goods distribution and effectively managing the supply chain
Development of a multi-objective preference analysis (MOPA)-based multicriteria model for assessing the resilience of tourism destinations to flood risk Fristi Riandari; Hikmah Adwin Adam
Jurnal Mandiri IT Vol. 15 No. 1 (2026): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v15i1.575

Abstract

Floods can disrupt the accessibility, facilities, and sustainability of tourism destination activities. This study aims to develop a preliminary model to assess the resilience of tourism destinations to flood risk using a Multi-Objective Preference Analysis (MOPA) approach based on secondary data and openly available digital information. The case study was conducted at the Siombak Lake Tourism Park, Medan City, with five alternative observation periods from 2020-2024. The five indicators used include flood risk, rainfall, area exposure, accessibility, and availability of tourism facilities. Factual data was used when available, while indicators that did not have numerical data were supplemented using proxy scores based on expert judgment. Data were processed through the preparation of a decision matrix, classification of cost and benefit indicators, normalization, weighting, and aggregation of MOPA preference values. Sensitivity testing was conducted by changing the indicator weights by ±5% and ±10%. The results showed that alternative A4-2023 obtained the highest preference value of 0.7595, while A5-2024 obtained the lowest value of 0.4000. All sensitivity scenarios produced the same ranking order as the baseline, achieving 100% ranking stability. This research produces a simple, transparent, and replicable initial assessment framework. Future research can develop the model by integrating real-time or near-real-time meteorological, spatial, disaster, and sensor data
Development of UI/UX and design thinking integration model for optimizing oisrum's MSME digital platform Fristi Riandari; Gabriel Ardi Hutagalung; Hikmah Adwin Adam
Jurnal Mandiri IT Vol. 15 No. 2 (2026): Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v15i2.573

Abstract

Usability is a critical factor in digital commerce platforms because it influences users’ ability to find product information and complete transactions efficiently. This study evaluates the usability of Oisrum, an MSME digital commerce platform, and identifies priorities for interface improvement based on actual user-testing results. The evaluation involved 10 participants performing six predefined tasks covering product discovery, access to product information, product selection, cart interaction, checkout, and access to platform information. The results showed an overall task completion rate of 93.33%, with 56 successful task executions out of 60, and a System Usability Scale (SUS) score of 83.0. Task-level analysis identified access to product information (T2), with a completion rate of 90%, and checkout completion (T5), with a completion rate of 80% and an average completion time of 148 seconds, as areas requiring further attention. These findings demonstrate that overall usability scores should be interpreted alongside task-level performance to identify specific interaction problems. A weighted objective-function approach may complement this evaluation by supporting the prioritization of interface improvement alternatives based on measurable usability indicators. However, the effectiveness of specific improvements must be established through documented implementation and follow-up user testing. This study provides an empirical basis for identifying usability issues and prioritizing further improvements to the Oisrum digital commerce platform.