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All Journal JSI (Jurnal sistem Informasi) Universitas Suryadarma Immortalis Journal of Interdisciplinary Studies
Ade Irma Purnama Sari
STMIK IKMI Cirebon, Indonesia
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Energy Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Peningkatan Akurasi MobileNetV2 untuk Klasifikasi Penyakit Daun Jagung Berbasis Morfologi rama maulana faz'rin; Martanto; Yudhistira Arie Wijaya; Ade Irma Purnama Sari; Nisa Dienwati Nuris
JSI (Jurnal Sistem Informasi) Universitas Suryadarma Vol. 13 No. 1 (2026): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Fakultas Ilmu Komputer dan Desain - Unsurya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v13i1.1733

Abstract

Deteksi penyakit daun jagung pada citra lapangan menghadapi tantangan besar akibat pencahayaan tidak merata, latar belakang kompleks, serta jumlah data yang terbatas dan tidak seimbang. Penelitian ini mengusulkan pipeline klasifikasi berbasis deep learning yang mengintegrasikan pra-pemrosesan morfologi erosi, dilasi, opening, dan closing—untuk memperjelas struktur lesi sebelum pelatihan model. Sebanyak 310 citra daun jagung dalam tiga kelas (Sehat, Karat, dan Hawar) dibagi secara stratifikasi menjadi data latih, validasi, dan uji. MobileNetV2 dilatih menggunakan pendekatan transfer learning dengan augmentasi dasar. Hasil evaluasi menunjukkan akurasi validasi 34,43%, akurasi uji 44,83%, dan macro-F1 sebesar 0,17, yang mengindikasikan kemampuan generalisasi rendah. Confusion matrix mengungkap terjadinya class collapse akibat ketidakseimbangan kelas dan kemiripan visual antar penyakit. Meskipun performanya terbatas, pra-pemrosesan morfologi membantu meningkatkan kejelasan fitur dan stabilitas ekstraksi pada kondisi lapangan.
Optimizing Supply Chain Management through ERP Odoo Implementation: A Systematic Literature Review Naufal Febriano; Martanto Martanto; Ade Irma Purnama Sari; Rudi Kurniawan
Immortalis Journal of Interdisciplinary Studies Vol. 2 No. 3 (2026): July - September
Publisher : PT. Caesarindo Triloka Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67307/ijis.v2i3.141

Abstract

The growing complexity of supply chain operations and the acceleration of digital transformation have heightened organizational demand for integrated enterprise systems, yet the specific contribution of Odoo-based ERP to supply chain optimization remains fragmented across the literature and underexplored as a dedicated research focus. Enterprise Resource Planning (ERP) systems have emerged as indispensable technological infrastructures for coordinating business processes and optimizing supply chain performance, and among contemporary ERP solutions, Odoo has attracted notable interest due to its open-source architecture, modular flexibility, and scalability. This study aims to synthesize the scattered evidence on how Odoo-based ERP contributes to supply chain integration, operational efficiency, and Industry 4.0-enabled transformation, and to distill the critical success factors that shape its adoption. A Systematic Literature Review (SLR) methodology following the PRISMA 2020 framework was employed, synthesizing 41 Scopus-indexed journal articles published between 2021 and 2025 across four analytical themes. The synthesis shows that ERP systems consistently strengthen supply chain integration, process automation, and operational visibility, and that these benefits are amplified when ERP is combined with AI, IoT, Blockchain, Cloud Computing, and Big Data Analytics; at the same time, the realization of these benefits is conditional on organizational readiness, leadership commitment, employee competencies, and structured change management rather than on technology adoption alone. By consolidating this fragmented evidence, the review offers a synthesized understanding of Odoo's role in SCM optimization and evidence-based guidance applicable to Shegia Grup and comparable open-source ERP-adopting organizations.
Co-Authors Martanto Martanto Martanto Naufal Febriano Nisa Dienwati Nuris rama maulana faz'rin Rudi Kurniawan Yudhistira Arie Wijaya