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PERANCANGAN SISTEM RENOVASI MENGGUNAKAN PLATFORM PEGA SYSTEM PADA PT. ASURANSI SINAR MAS Sunjaya, Pattrick Levin; Hugeng, Hugeng; Rusdi, Zyad
Computatio : Journal of Computer Science and Information Systems Vol. 6 No. 1 (2022): Computatio: Journal of Computer Science and Information Systems
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v6i1.17738

Abstract

Perusahaan Asuransi Sinar Mas (ASM) adalah perusahaan nasional yang berfokus pada bidang asuransi yang mencakup seluruh aspek kebutuhan hidup sampai kebutuhan antariksa. Dengan banyaknya pegawai di dalam Perusahaan ASM yang tersebar diseluruh Indonesia, tentu banyak juga gedung yang digunakan. Dan dengan penggunaan gedung tersebut, wajar jika terjadi kerusakan, sehingga pekerjaan renovasi pasti dibutuhkan. Maka dari itu, dibuatkanlah aplikasi pengajuan renovasi gedung yang bertujuan memudahkan dan mempercepat proses renovasi. Aplikasi ini dibuat dengan menggunakan Pegasystem, yaitu sebuah alat Business Process Management yang terpusat pada proses bisnis. Dengan dibuatnya sistem ini, karyawan dapat mengajukan pengajuan renovasi gedung dari kota manapun, dan pengajuan tidak perlu dikirimkan secara manual kepada seluruh pihak yang bersangkutan.
Expansion of Base Station Coverage Area Based on Sector Expansion on Lombok Island Kelvin, Kelvin; Fat, Joni; Hugeng, Hugeng
JURNAL EDUNITRO Jurnal Pendidikan Teknik Elektro Vol. 5 No. 1 (2025): April Issue
Publisher : Department of Electrical Engineering Education, Faculty of Engineering, State University of Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/edunitro.v5i1.10475

Abstract

Developing telecommunications infrastructure is vital for national advancement improving connectivity to accelerate information flow and access to public services Effective base station planning prioritizes maximizing network coverage in densely populated areas However traditional visualization methods often fall short in identifying regions with the highest population density This study addresses this gap by applying a sector expansion algorithm to select optimal base station locations within the most densely populated sectors achieving more balanced network coverage Using Indonesia s population data and administrative boundaries optimal base station locations are determined with DBSCAN and K Means clustering algorithms The network s reach is then enhanced through sector expansion to increase coverage in areas with high population density by selecting new base station locations based on the densest sector around a primary station The candidate station is positioned at a distance of three quarters of twice the radius of the primary station optimizing coverage while remaining close to existing network resources The evaluation compares population coverage before and after sector expansion assessing connectivity between base stations and distribution efficiency Results show that sector expansion increased population coverage on Lombok Island from 15 94 to 99 14 with the most populated base station covering up to 34 274 people enhancing distribution efficiency < p>