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All Journal Media Jurnal Informatika JITSI : Jurnal Ilmiah Teknologi Sistem Informasi
Abdullah Fajar
Universitas Telkom
Computer Science & IT

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Strategi Sourcing Berkelanjutan MBG Berbasis Advanced Analytics: Analisis PESTLE dan Rantai Pasok Briyan Gifari; Nabiel Muhammad Al Ghazali; Abdullah Fajar
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 7 No 1 (2026)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.7.1.530

Abstract

The Free Nutritious Meal Program (MBG) is a national strategic initiative facing complex challenges in balancing supply security and environmental sustainability. This study aims to implement an Advanced Analytics framework to evaluate supplier performance based on the Triple Bottom Line principle. Using real logistics datasets for strategic commodities (Rice and Soybeans), this study applies the Weighted Scoring Model algorithm with parameters of logistics efficiency (40%), environmental impact (30%), and volume security (30%). The analysis of the supply chain shows a total carbon footprint (Scope 3) of 112.11 tons of CO2 with an average distribution distance of 297 KM. The model successfully identified the best "Green Suppliers," with the Pelalawan–Siak route recording the highest sustainability score (0.89) due to the balance of volume and distance. This study recommends the adoption of a data-driven scoring system to mitigate carbon emissions in the MBG supply chain.
Comparative Analysis of Black-Box and White-Box Machine Learning Model in Explainable Phishing Detection Abdullah Fajar; Setiadi Yazid; Indra Budi
Media Jurnal Informatika Vol 18 No 1 (2026): Media Jurnal Informatika
Publisher : Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v18i1.6501

Abstract

Explainability in phishing detection model can support a further solution of phishing attack mitigation by increasing trust and understanding how phishing can be detected.  The aims of this study to determine and best recommendation to apply an approach which has several components with abilities to fulfil the critical needs A methodology starting with analyzing both black-box and white-box models to get the pros and cons specifically in phishing detection. The conclusion of the analysis will be validated by experiment using a set of well-known algorithms and public phishing datasets. Experimental metrics covers 3 measurements such as predictive accuracy and explainability metrics. Both models are comparable in terms of interpretability and consistency, with room for improvement in diverse datasets. EBM as an example of white-box model is generally better suited for applications requiring explainability and actionable insights. Finally, each model, white-box and black-box model has positive and negative aspects both for performance metric and for explainable metric. It is important to consider the objective of model usage.
Co-Authors Briyan Gifari Indra Budi Nabiel Muhammad Al Ghazali Setiadi Yazid, Setiadi