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All Journal Jurnal Ilmu Komputer dan Informasi POROS TEKNIK Jurnal IMPACT: Implementation and Action Journal of Information Systems and Informatics Jurnal Pemberdayaan Masyarakat Universitas Al Azhar Indonesia Jurnal INFOTEL
Wanvy Arifha Saputra
Politeknik Negeri Banjarmasin
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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Journal : Journal of Information Systems and Informatics

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Capability Gap Analysis in IT Governance for a Logistics Company Using COBIT 2019 Yusuf, Ahmad; Saputra, Wanvy Arifha; Jamilah, Jamilah
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.832

Abstract

This paper aims to evaluate the IT governance capability levels within a logistics company using the COBIT 2019 framework, focusing on identifying gaps between the current state (as-is) and the desired state (to-be). The methodology involves an assessment of three key Governance and Management Objectives: stakeholder engagement (EDM05), IT asset management (BAI09), and IT compliance (MEA03). The results indicate that all objectives are currently at capability level 1, highlighting the early stages of implementation and the need for substantial improvement. The study concludes that addressing these gaps through the COBIT 2019 framework will significantly enhance the company’s IT governance, leading to improved operational efficiency, stronger risk management, and better alignment with strategic business goals. These findings provide actionable insights for advancing IT governance maturity, contributing to the long-term success and competitiveness of the company in the logistics sector.
A Lightweight Classical Machine Learning Pipeline for Rice NPK Deficiency Classification Using Hand-Crafted Feature Fusion Dhiyaussalam; Kun Nursyaiful Priyo Pamungkas; Wanvy Arifha Saputra; Ahmad Yusuf
Journal of Information System and Informatics Vol 8 No 2 (2026): April
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i2.1486

Abstract

Many high-accuracy deep learning solutions for plant nutrient deficiency remain impractical in resource-limited settings due to computational cost and limited explainability. This study proposes a lightweight classical machine learning pipeline for rice leaf NPK (nitrogen, phosphorus, potassium) deficiency classification on the publicly available Kaggle Nutrient-Deficiency-Symptoms-in-Rice dataset (1,156 images); all results should be interpreted in this dataset context rather than as field-validated performance. The pipeline applies HSV-based leaf segmentation to reduce background influence. It extracts a 126-dimensional feature set combining masked color moments, HSV histograms, vegetation indices, LBP and GLCM texture descriptors, and spatial symptom ratios. Hyperparameters are tuned via RandomizedSearchCV with 5-fold StratifiedKFold and macro-F1 scoring; final evaluation uses a held-out 80/20 stratified test set kept separate throughout tuning. XGBoost achieves the best test performance (accuracy 0.9267; macro-F1 0.9233), followed by SVM-RBF (0.9224; 0.9187) and Random Forest. Feature importance analysis confirms that color moments dominate class separability, with texture and spatial features providing complementary support. The dominant remaining error is phosphorus–potassium confusion. The novelty lies in integrating leaf-focused preprocessing with a structured, low-cost feature representation suitable for mobile or edge deployment.
Co-Authors Agus Setiyo Budi Nugroho Agus Zainal Arifin Ahmad Yusuf Ahmad Yusuf Asmaul Husna Asmaul Husna Chandranegara, Didih Rizki Devina Hestiana Dhiyaussalam Didih Rizki Chandranegara Dwi Septiarini Feby Anisa, Peggy Handini Gustiara Hayati Hayati, Handini Gustiara Herlinawati Herlinawati Herlinawati Herlinawati Herlinawati Hestiana, Devina I Gusti Agung Socrates Adi Guna Ida Hastuti, Ida Jamilah Jamilah Joni Riadi, Joni Kun Nursyaiful Priyo Pamungkas M. Helmy Noor Maulidayani Maulidayani Maulidayani, Maulidayani Nugroho, Agus Setiyo Budi Peggy Feby Anisa Pratama, Rezza Aditya Rahimi Fitri, Rahimi Reza Fauzan Rezza Aditya Pratama Riadi, Join Rifat Rifat rifat, rifat Saberan Septiarini, Dwi Setia Graha Setia Graha, Setia Subandi Subandi Suci Nur Fauziah Yoenie Indrasary