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All Journal Journal of Information Systems Engineering and Business Intelligence Jurnal CoreIT Jurnal Otomasi Kontrol dan Instrumentasi Journal of Innovation, Business and Entrepreneurship International Journal of Advances in Data and Information Systems Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Journal of Consumer Study and Applied Marketing Jurnal Bisnis dan Pemasaran Digital Journal of Multidisciplinary Academic Business Studies
Wasesa, Meditya
School of Business and Management, Institut Teknologi Bandung
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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ENHANCING CREDIT SCORING PREDICTION IN ISLAMIC BANKING WITH RANDOM FOREST MACHINE LEARNING MODEL : THE ROLE OF MARITAL STATUS Nihlahhania, Zulfa Raya; Wasesa, Meditya
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 9 No 2 (2025): Edisi Mei - Agustus 2025
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v9i2.6010

Abstract

This study explores the application of machine learning techniques, particularly the Random Forest algorithm, to predict default risk in Islamic consumer financing, with a specific focus on marital status as a key demographic factor. Conducted in the context of Islamic banking in Indonesia where ethical compliance and prudent risk assessment are critical the research examines whether incorporating marital status can improve credit risk classification. Utilizing historical financing data from an Islamic bank, the study addresses three central research questions: (1) How accurate is the Random Forest model in predicting default risk when marital status is considered? (2) How effective is the Random Forest algorithm in identifying default risk for Islamic consumer financing based on marital status? (3) What marital status related factors significantly influence the performance of the Random Forest model in this context? The methodology involves standard machine learning procedures, including data preprocessing, categorical feature encoding, and model evaluation using confusion matrices and classification metrics. Feature importance analysis is also conducted to identify influential variables. This research contributes to the emerging synergy between Islamic finance and artificial intelligence, demonstrating how demographic factors such as marital status can enhance Sharia-compliant credit risk assessments in modern Islamic banking systems.
Determining the best alternative to build and operate a new coal crushing facilities: Analytical hierarchy process approach Simatupang, Kondar Paido; Wasesa, Meditya
Journal of Multidisciplinary Academic Business Studies Vol. 2 No. 1 (2024): November
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jomabs.v2i1.2393

Abstract

Purpose: This study examines the increase in national coal production in Indonesia and its impact on PT. KLM is one of the largest coal producers in Indonesia. With rising production and shifting global market needs, this study aims to analyze the necessity of building a new Coal Crushing Facility next to the South Pinang Extension #2 area, including evaluating costs and the best strategies for its implementation. Research Methodology: The research methodology involved analyzing problem trees and stakeholders to uncover business complexities and identify the root causes of issues. Qualitative data were collected through semi-structured interviews. All alternatives were evaluated using Value-Focused Thinking (VFT), and the Analytic Hierarchy Process (AHP) method was employed to determine the best alternative assisted by the Super Decision application. Results: Based on interviews conducted with subject matter experts (SMEs) and analysis, three funding solutions were identified: 1. owned by self-financing, and (2) Own by Leasing 3. Rental Scheme. Conclusions: The study concludes that building a new Coal Crushing Facility at South Pinang Extension is necessary to support rising production, with three viable financing alternatives self-financing, leasing, and rental identified through systematic analysis to ensure efficiency and competitiveness. Limitations: The limitations of this study are that it was sourced from an internal company and data were gathered from outside the company. An alternative option was developed based on extensive collaborative discussions and interview sessions with subject matter experts within the company. Contribution: This study provides valuable guidelines for selecting alternative financing to build and operate new coal-crushing facilities at South Pinang Extension #2.
Sistem Arsitektur Manajemen Bangunan untuk Memaksimalkan Swakonsumsi pada Bangunan Universitas: Studi Kasus Puspita, Yumna; Nanda, Rezky Mahesa; Arif M. Natawidjaja, Reyza; Friansa, Koko; Pradipta, Justin; Armanto Mangkuto, Rizki; N. Haq, Irsyad; Leksono, Edi; Wasesa, Meditya
Jurnal Otomasi Kontrol dan Instrumentasi Vol 15 No 2 (2023): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2023.15.2.5

Abstract

Due to its intermittent nature, significant adoption of solar PV into the grid can decrease grid reliability. One solution to increase it is to increase PV self-consumption with two methods: adding Energy Storage System (ESS) and conducting Demand Side Management (DSM). University building has a distinct characteristic in its complex dynamics. Therefore, there is a lack of research to control both methods of increasing self-consumption. This paper aimed to do an integrated literature review on increasing self-consumption and then propose a system architecture recommendation for university building management based on the review. The Smart Grid Architectural Model (SGAM) evaluated the case study object. The result showed that a data-driven controller has been chosen as the most suitable controller for the university building management system. The data needed to build a data-driven controller could be obtained through readily available sensors in the case study object, making it feasible for implementation.
A Value-Driven Approach to Software Project Prioritization: Integrating AHP and Value-Focused Thinking in a Messaging Service Firm Ningsih, Fauziah Firlita; Wasesa, Meditya
International Journal of Advances in Data and Information Systems Vol. 6 No. 3 (2025): December 2025 - International Journal of Advances in Data and Information Syste
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v6i3.1401

Abstract

As requests for development projects grow, a real-life messaging service firm faces increasing challenges in objectively prioritizing initiatives due to limited developer capacity and a high number of concurrent projects. These issues have resulted in inefficient resource allocation, delayed timelines, and declining customer satisfaction, exacerbated by unclear and unstructured project selection methods. This study proposes an integrated decision-making framework that combines the Analytical Hierarchy Process (AHP), stakeholder analysis, and Value-Focused Thinking (VFT) to address the firm’s prioritization challenges. AHP structures the decision criteria and evaluates project alternatives based on their relative importance, stakeholder analysis identifies key decision-makers and their influence, and VFT ensures alignment with organizational values and strategic goals. To uncover underlying issues and stakeholder expectations, the study employs Problem Tree Analysis, structured interviews, and questionnaires. Four typical sub-project alternatives—Custom Projects, New Features, Bug Fixing, and Optimization—are assessed against four criteria: Cost, Quality, Functionality, and Client Satisfaction. The study concludes with an implementation roadmap and actionable recommendations to improve the firm’s project selection and prioritization process.
Co-Authors Ajibaskoro, Akbar Arif M. Natawidjaja, Reyza Armanto Mangkuto, Rizki Edi Leksono Fadillah, Reza Yudha Friansa, Koko Jayanti, Luh Putu Saraswati Devia Justin Pradipta N. Haq, Irsyad Nanda, Rezky Mahesa Nihlahhania, Zulfa Raya Ningsih, Fauziah Firlita Nugroho, Eko P. Prabawa, Ananta Puspita, Yumna Simatupang, Kondar Paido Siti Anisah Suftandar, Hilmi Sulaeman, Maman Tandiawan, Gilbert Utomo Sarjono Putro Zulkifli, Ahmad