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All Journal International Journal of Management Science and Information Technology (IJMSIT) TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Nurul Rahmadani
Universitas Royal
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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UI/UX Design: Digital Learning Platform Berbasis Minimum Viable Product (MVP) dan Design Thinking Edi Kurniawan; Nasrun Marpaung; Rohminatin Rohminatin; Nurul Rahmadani; Arya Armando Panjaitan
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp84-89

Abstract

In the digital era, digital learning platforms have become an essential tool in the educational process. However, the success of a platform is not only determined by the availability of content but also by a satisfying user experience. To achieve this, developers often adopt the Minimum Viable Product (MVP) strategy, which allows them to release a product with minimal features to quickly obtain user feedback. Meanwhile, the Design Thinking approach provides a framework for deeply understanding user needs. This paper combines these two approaches to designing the UI/UX for the digital learning platform "Mentor on Demand", focusing on an optimized user experience where the usability testing results are obtained with scores for Students = 6 and Mentors = 5.9 both getting Pass Results.
Decision Support System for Teacher Competency Evaluation Using Profile Matching and Rule-Based Coaching Siti Nuraida Mangunsong; Rizaldi Rizaldi; Nurul Rahmadani
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6737

Abstract

Teacher competency evaluation plays a crucial role in improving educational quality; however, assessment practices at MTSS MPI Bagan Asahan are still conducted manually, leading to limited documentation, potential subjectivity, and the absence of systematic analysis. This study aims to develop a Decision Support System (DSS) based on the Modified Profile Matching method to measure teacher competency alignment with predefined ideal standards and generate proportional coaching recommendations. A quantitative case study was conducted involving 22 active teachers selected through total sampling. Data were collected from supervision documents, observations, interviews, and literature review. Competency evaluation was performed using GAP analysis between actual and target profiles, applying a 60% weighting for Core Factors and 40% for Secondary Factors to compute final ranking scores. The results show that competency scores ranged from 3.80 to 4.70, with a mean of 4.25 and a standard deviation of 0.24, indicating relatively homogeneous performance levels. Beyond ranking, the system generates adaptive coaching recommendations based on the number of negative GAP indicators. Black Box testing confirms functional reliability. The integration of proportional rule-based recommendations transforms the DSS from a static ranking tool into a structured competency diagnostic and professional development planning system. The proposed system also has the potential to be implemented in other educational institutions to support objective and data-driven teacher competency evaluation.
Analysis of Decision Support System to Determine Toddlers Eligible for Additional Food at Posyandu in Perkebunan Tanah Datar Village Using Profile Matching Method Revina Salsabila; Nurul Rahmadani; Muhammad Iqbal
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6738

Abstract

The determination of toddlers eligible for the Supplementary Feeding Program (PMT) at the Integrated Health Post in Perkebunan Tanah Datar Village is still conducted manually, which can lead to subjectivity and inaccurate targeting of assistance. This study aims to develop a Decision Support System using the Profile Matching method to determine priority PMT recipients in a more objective and systematic manner. The assessment compares the actual condition of toddlers with an ideal profile by calculating GAP values across several criteria, including stunting status, nutritional status, parents’ income, and mother’s education level. These criteria are processed using Core Factor (60%) and Secondary Factor (40%) weighting to generate priority rankings. The system evaluation was conducted using seven toddler data samples, producing ranking results in which toddler B6 obtained the highest priority score of 4.5. The results indicate that the proposed method is able to generate consistent eligibility rankings and support a more transparent and measurable decision-making process compared to manual selection. By automating the calculation of GAP values and weighting factors, the system reduces subjectivity and improves the efficiency and accuracy of PMT recipient determination. However, this study is limited by the relatively small dataset and its implementation in a single Posyandu location. Future research may involve larger datasets and additional evaluation criteria to improve the robustness and applicability of the model in broader community health service settings.
Co-Authors Arya Armando Panjaitan Edi Kurniawan Muhammad Iqbal Nasrun Marpaung Revina Salsabila Rizaldi Rizaldi Rohminatin Rohminatin Siti Nuraida Mangunsong