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All Journal JAIA - Journal of Artificial Intelligence and Applications Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Alva Hendi Muhammad
Universitas AMIKOM
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Detection of Palm Fruit Maturity Using Convolutional Neural Network Method Ade Kurniawan kurniawan; Andi Sunyoto; Alva Hendi Muhammad
JAIA - Journal of Artificial Intelligence and Applications Vol. 2 No. 2 (2022): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/jaia.v2i2.859

Abstract

Palm oil has an important role as a source of foreign exchange in the economy in Indonesia. Oil palm is one of the vegetable oil-producing plants that has the highest economic value compared to other crops such as soybeans, olives, coconuts or sunflowers. Palm oil quality is also influenced by water content, dirt content, free fatty acid content and the level of maturity of the palm fruit. Maturity of palm fruit is a very important factor in determining the quality of crude oil produced by palm fruit. In determining the maturity of oil palm, sorting is necessary to get quality palm fruit with the appropriate level of maturity. The use of image processing technology (ImageProcessing) can facilitate the process of analyzing objects. Meanwhile, the implementation of deep learning using the Convolutional Neural Network method can help identify the maturity level of oil palm fruit with a high level of accuracy. The results showed a very good effectiveness with an accuracy reaching 99% and a precision level reaching 99.8%.
Evaluasi Keamanan Informasi Menggunakan COBIT 2019 APO13 dalam Mendukung Kualitas Layanan TI di Poltekkes Kemenkes Bengkulu Zulmi Gurhono; Alva Hendi Muhammad; Asro Nasiri
Jurnal Informatika Komputer, Bisnis dan Manajemen Vol 24 No 3 (2026): September 2026
Publisher : LPPM STMIK El Rahma Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61805/fahma.v24i3.247

Abstract

The quality of information technology services in higher education institutions depends on well-designed information security governance. Poltekkes Kemenkes Bengkulu manages academic and health-related data exposed to cybersecurity threats but has not implemented a standardized IT governance framework to determine information security priorities. This study aims to design an IT governance system and prioritize governance and management objectives using the COBIT 2019 Governance System Design Workflow, with APO13–Managed Security as the primary focus. Ten Design Factors were analyzed based on institutional conditions through interviews, observation, and document review. The results identified 17 priority objectives among the 40 COBIT 2019 governance and management objectives, led by BAI10–Managed Configuration (score 100), APO13–Managed Security (90), and APO12–Managed Risk (85). Capability level 4 was targeted for the nine highest-priority objectives, including APO13, driven by logical attack risks (DF3), a High threat landscape (DF5), and High compliance requirements (DF6). Operational recommendations include strengthening information security policies (ISMS), security incident and risk management, and access controls. This study is limited to priority determination and target capability levels; therefore, future research should assess actual capability levels and conduct gap analysis.
Co-Authors Ade Kurniawan kurniawan Andi Sunyoto Asro Nasiri Zulmi Gurhono