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All Journal Jurnal Maneksi (Management Ekonomi Dan Akuntansi) Jurnal ELKO (Elektrikal dan Komputer) Global Science: Journal of Information Technology and Computer Science
Marion Erwin Dien
Politeknik Negeri Ambon
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering

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APLIKASI SISTEM PRECISION AGRICULTURE DENGAN MENGGUNAKAN TEKNOLOGI GOOGLE EARTH API DAN DATABASE ORACLE Marion Erwin Dien
JURNAL ELKO (ELEKTRIKAL dan KOMPUTER) Vol 2, No 1 (2021)
Publisher : Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54463/je.v2i1.8

Abstract

Sistem precision agriculture berbasis sistem informasi geografi merupakan sebuah teknologi pertanian yang memanfaatkan data dan informasi pertanian yang dipadukan dengan data dan informasi geografis untuk mendukung kegiatan operasional pertanian. Kegiatan pemupukan dan perhitungan hasil produksi merupakan dua diantara beberapa kegiatan operasional pertanian. Dengan sistem precison agriculture dapat dilakukan analisa dan rekomendasi pemupukan serta perhitungan hasil produksi berdasarkan data aktual pertanian yang diinputkan kedalam basis data yang kemudian akan visualisasikan dalam bentuk peta geografis oleh sebuah aplikasi sistem precision agriculture. Dari hasil rekomendasi pemupukan dan perhitungan dapat dihitung jumlah penggunaan pupuk yang akan digunakan didalam sebuah perkebunan serta jumlah hasil produksi ataupun jumlah pekerja yang akan digunakan oleh pengusaha pertanian pada saat masa produksi nanti.
MANAJEMEN SURAT MASUK, BUKU TAMU DAN DISPOSISI SURAT DENGAN APLIKASI E-OFFICE PADA BALAI TEKNOLOGI INFORMASI DAN KOMUNIKASI DINAS PENDIDIKAN PROVINSI MALUKU Marion Erwin Dien
Jurnal Maneksi (Management Ekonomi Dan Akuntansi) Vol. 12 No. 1 (2023): MARET
Publisher : Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (147.456 KB) | DOI: 10.31959/jm.v12i1.1477

Abstract

An information system or e-office application is one of the applications developed with the aim of helping office administration management to be more effective and efficient. As one of the UPT (Technical Implementation Units) within the Maluku Provincial Government, the Education Information and Communication Technology Center develops e-office applications as a form of electronic data management. The system development method used in this study is the Waterfall Model and was developed using the Laravel Framework and MySQL database. This research was conducted with the aim of implementing an e-office application at the Tekkom Office of the Maluku Province Education Office with guest/visitor book features, incoming mail filing, letter disposition, guest/visitor book reports and incoming mail reports. With this application, office administration management such as guest book data and incoming mail can be managed electronically so that it becomes more effective and efficient.
Aplikasi Sistem Informasi Pemesanan Taksi Rute Masohi-Pasanea Marion Erwin Dien; Lita Gunawati Turui
Jurnal ELKO (Elektrikal dan Komputer) Vol 4, No 2 (2023)
Publisher : Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54463/je.v4i2.107

Abstract

Taksi merupakan transportasi darat yang sering digunakan oleh masyarakat dalam melakukan perjalanan jauh, terutama masyarakat yang ingin melakukan perjalan dengan rute Masohi-Pasanea. Namun, untuk mendapatkan taksi dengan rute tersebut tidaklah mudah, karena untuk mendapatkan taksi calon penumpang harus mendatangi pangkalan terlebih dahulu. Hal ini juga tidak menjamin calon penumpang akan mendapatkan taksi lebih cepat dari yang diperkirakan. Akibatnya calon penumpang memerlukan waktu yang cukup banyak untuk mendapatkan taksi dengan rute Masohi-Pasanea. Dari permasalahan tersebut, dibutuhkan sebuah aplikasi pemesanan taksi rute Masohi-Pasanea Kecamatan Seram Utara Barat berbasis web yang memudahkan calon penumpang untuk mendapatkan taksi, juga mempercepat  driver dalam mendapatkan calon penumpang. Penelitian ini menggunakan metode pengembangan sistem model Waterfall. Hasil dari penelitian ini berupa sebuah aplikasi pemesanan berbasis web yang dapat diimplementasikan oleh calon penumpang yang akan melakukan pemesanan taksi dari rumah dan dimana saja, serta dapat mempercepat driver dalam mendapatkan calon penumpang pemesanan taksi.
Toward Explainable AI for Cybersecurity: A NIST-Based Knowledge Graph for Transparent Semantic Reasoning Firman Pratama; Irlon Dahil; Marion Erwin Dien; Dewantoro Lase
Global Science: Journal of Information Technology and Computer Science Vol. 2 No. 1 (2026): March: Global Science: Journal of Information Technology and Computer Science
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v2i1.186

Abstract

Explainable artificial intelligence (XAI) has become a critical requirement in cybersecurity due to the high-stakes nature of security decision-making and the limitations of black-box learning models. This study investigates the construction of an explainable cybersecurity knowledge representation by leveraging standardized terminology from the NIST cybersecurity glossary. The primary problem addressed is the lack of transparent and semantically grounded reasoning mechanisms in existing AI-driven cybersecurity systems, which limits trust, accountability, and analyst adoption. To address this challenge, we propose a NIST-based semantic knowledge graph that embeds explainability directly into its ontology structure and reasoning process. The proposed framework systematically extracts definitional entities and relations from NIST glossary entries to construct a domain ontology and a multi-relational knowledge graph. A rule-based semantic relation extraction method is employed to ensure faithful, interpretable, and reproducible reasoning paths. The resulting knowledge graph contains over 3,000 cybersecurity concepts and approximately 27,000 semantic relations, covering hierarchical, associative, dependency, and mitigation semantics. Experimental evaluation demonstrates that the proposed approach achieves a high level of explainability, with 92.4% of reasoning outcomes being fully traceable and only 1.4% classified as non-traceable. Most explainable reasoning paths are limited to two or three hops, indicating an effective balance between inferential depth and human interpretability. Structural analysis further confirms the presence of meaningful hub concepts that support multi-hop semantic inference. These results confirm that ontology-driven, standard-based knowledge graphs provide a robust foundation for explainable cybersecurity intelligence. The study concludes that explainability-by-design, grounded in authoritative standards, offers a viable and trustworthy alternative to opaque AI models for cybersecurity applications.
Co-Authors Dewantoro Lase Firman Pratama Irlon Dahil Lita Gunawati Turui