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Feature Importance Analysis of SMV Gap and Manpower Variables on Garment Production Output based on Ensemble Learning Heni Candra Kirana; Eka Ardhianto
SISTEMASI Vol 15, No 5 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i5.6364

Abstract

In the labor-intensive garment manufacturing industry, there is a conventional assumption that achieving production targets largely depends on increasing the number of workers (manpower), causing evaluations of operational time efficiency to often be overlooked. To examine this assumption, this study aims to identify the dominant factors affecting garment production output using a Machine Learning approach based on Ensemble Learning methods, namely Random Forest and Gradient Boosting. The dataset consisted of 700 observations collected at 20-minute intervals, including variables such as actual Standard Minute Value (SMV), SMV gap, actual manpower, and manpower gap. The evaluation results indicate that the Random Forest model outperformed Gradient Boosting, achieving a Mean Absolute Error (MAE) of 4.55, Root Mean Square Error (RMSE) of 6.85, Mean Absolute Percentage Error (MAPE) of 19.12%, and an R² value of 0.758. In comparison, Gradient Boosting obtained an MAE of 4.88, RMSE of 7.21, MAPE of 20.78%, and an R² value of 0.733. Based on the best-performing model, the feature importance analysis revealed that actual SMV was the most dominant factor (>0.70), followed by the SMV gap (>0.20). In contrast, manpower variables had a very limited influence (
Perancangan Enterprise Architecture Berbasis Togaf ADM Untuk Integrasi Sistem Menggunakan ODOO ERP pada PT Bromindo Mekar Mitra Suluh Hidayat; Heni Candra Kirana; Himawan Wicaksono; Kristiawan Nugroho
SENTRI: Jurnal Riset Ilmiah Vol. 5 No. 1 (2026): SENTRI : Jurnal Riset Ilmiah, Januari 2026
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v5i1.5348

Abstract

Digital transformation requires organizations to implement integrated and adaptive information systems capable of supporting end-to-end business processes. PT Bromindo Mekar Mitra currently utilizes several applications, such as Firecek Backoffice, Bisma, Pembukuan, Trello, and Oteem to support its operations. However, these systems operate independently (stand-alone), resulting in data duplication, reporting delays, and information inconsistencies across divisions. This condition indicates an urgent need for a strategic and structured architectural approach to achieve system integration aligned with the company’s business requirements. This study aims to design an Enterprise Architecture (EA) as a foundation for system modernization and integration using the Odoo ERP platform. The TOGAF Architecture Development Method (ADM) framework is employed to analyze the As-Is architecture, develop the To-Be architecture, and formulate a comprehensive implementation roadmap. Data collection was conducted through interviews, business process observations, and analysis of internal documentation. The research results include integrated business, data, application, and technology architecture designs, as well as recommendations for Odoo ERP modules that align with PT Bromindo Mekar Mitra’s operational needs. The resulting EA blueprint and migration roadmap are expected to serve as strategic guidance for the company in implementing system integration in a gradual, measurable, and sustainable manner while minimizing the risks associated with ERP adoption.
Analisis Kualitas Website Dinas XYZ dengan Menggunakan Pendekatan ISO/IEC 9126 Untuk Mendukung Continuous Improvement Layanan Publik Suluh Hidayat; Heni Candra Kirana; Aji Supriyanto
SENTRI: Jurnal Riset Ilmiah Vol. 5 No. 1 (2026): SENTRI : Jurnal Riset Ilmiah, Januari 2026
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v5i1.5468

Abstract

The rapid development of e-government initiatives is driving the need for quality public digital services, particularly websites that serve as the primary gateway for information access and administrative interaction. This study aims to evaluate the software quality of the XYZ Department Website using the ISO/IEC 9126 framework and identify aspects that require improvement to support continuous improvement. The evaluation was conducted on six quality attributes: Functionality, Reliability, Usability, Efficiency, Maintainability, and Portability. The study used a quantitative approach through the distribution of Likert-scale questionnaires to 15 respondents, accompanied by direct observation of the system and review of technical documentation. The results showed that all attributes received a "Very Good" classification with a total score of 1184 out of 1500. Usability and Portability were the attributes with the highest scores, indicating that the website has excellent levels of ease of use and cross-device compatibility. Meanwhile, Maintainability and Reliability received relatively lower scores, indicating the need for improvements in regular content updates, page structure consistency, and error handling. Overall, this study concludes that the quality of the XYZ Department website is excellent and capable of effectively supporting public service delivery. However, a continuous improvement strategy is still needed to maintain the quality and sustainability of digital services in the future.