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All Journal Indonesian Journal of Applied and Industrial Sciences (ESA) ORAHUA : Jurnal Pengabdian Kepada Masyarakat
Deny Adhar
Universitas Muhammadiyah Asahan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences Other

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Implementasi Pelatihan IP Addressing dan Efisiensi Subnetting untuk Optimalisasi Infrastruktur Jaringan Dedek Indra Gunawan Hts; Firman Edi; Deny Adhar; Andrian Syahputra; Musri Iskandar Nasution
ORAHUA : Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 01 (2026): Juli
Publisher : Faatuatua Media Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70404/orahua.v4i01.696

Abstract

Kebutuhan dunia industri telekomunikasi terhadap efisiensi infrastruktur jaringan komputer mendorong pentingnya penguasaan kompetensi manajemen pengalamatan yang kuat bagi teknisi lapangan. Telkom Akses Jakarta sebagai penyedia layanan infrastruktur jaringan menghadapi tantangan krusial operasional di lapangan, salah satunya berupa risiko pemborosan alokasi IP Address serta terjadinya IP conflict pada segmen pelanggan akibat pengelolaan subnetting yang kurang dinamis. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk mengimplementasikan pelatihan IP Addressing terstruktur serta rekayasa teknik subnetting efisien guna mengoptimalkan pemanfaatan space alokasi jaringan logis. Metode pelaksanaan kegiatan ini mengadopsi tiga tahapan sistematis, meliputi: (1) tahap persiapan berupa koordinasi serta pemetaan kendala topologi riil mitra, (2) tahap pelaksanaan yang mengombinasikan pembekalan materi teoritis dan workshop simulasi menggunakan tool virtual lab, serta (3) tahap evaluasi kuantitatif menggunakan instrumen pre-test dan post-test guna mengukur indeks peningkatan kompetensi praktis peserta. Hasil pelaksanaan program menunjukkan lonjakan pemahaman teknis peserta yang signifikan dalam melakukan kalkulasi parameter subnet secara cepat serta merancang efisiensi pengalamatan berbasis Variable Length Subnet Mask (VLSM). Respons dari para teknisi menunjukkan hasil yang sangat positif, di mana luaran pelatihan dinilai sangat aplikatif dan berdampak nyata dalam meminimalkan inefisiensi alokasi jaringan selama proses operasional integrasi lapangan
Knowledge Graph Integration to Improve Reliability and Quality of Maintenance Data in the Oil and Gas Processing Industry Adnan Buyung Nasution; Ahir Yugo Nugroho; Deny Adhar; Risman Risman; Ramadani Ramadani
Indonesian Journal of Applied and Industrial Sciences (ESA) Vol. 5 No. 4 (2026): July 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/esa.v5i4.20

Abstract

Data quality and reliability are fundamental challenges in asset maintenance management in the oil and gas processing industry, where equipment data is scattered across dozens of heterogeneous operational tables, including SAP notifications, work orders, pipe inspections, corrosion monitoring results, and metering data. This data fragmentation makes it difficult to trace relationships between entities, identify anomalies, and perform consistent cross-validation. This study proposes a Knowledge Graph (KG) integration approach as a data representation layer that connects equipment entities as central nodes with child nodes from monitoring tables through typed relationships. Implementation is carried out through the development of a Graph Manager component based on Flask and D3.js that synchronizes data from a PostgreSQL relational database to a Neo4j graph database on a scheduled basis. Evaluation is carried out on three aspects of data reliability, namely referential consistency, attribute completeness, and timeliness of data updates, before and after the implementation of the KG. Test results in a production environment show significant improvements in equipment tag inconsistency detection, decreased equipment history search time, and increased semantic search accuracy when the KG is combined with embedding vector (pgvector)-based search. This study concludes that the graph approach provides a real contribution to data governance and operational reliability of maintenance systems.
Co-Authors Adnan Buyung Nasution Ahir Yugo Nugroho Andrian Syahputra Dedek Indra Gunawan Hts Firman Edi Musri Iskandar Nasution Ramadani Ramadani Risman Risman