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All Journal Informatics and Computer Engineering Journal Jurnal Inkofar
Tambunan, Yosua
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Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Medicine & Pharmacology Public Health Transportation

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SIMULASI DAN PERBANDINGAN KINERJA OSPF DAN EIGRP PADA TOPOLOGI HYBRID (STAR DAN MESH) DI CISCO PACKET TRACER Naibaho, Marcel; Sirait, Juan Sebastian; Tambunan, Yosua; Situmorang, Yudi Yohannes; Limbeng, Yuni br; Sipayung, Sardo Pardingotan
Jurnal Inkofar Vol 9, No 1 (2025)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46846/jurnalinkofar.v9i1.468

Abstract

This research discusses the simulation and comparison of OSPF and EIGRP performance on hybrid topology (star and mesh) in Cisco Packet Tracer. The main objective of this research is to compare delivery time and routing efficiency on the performance of OSPF and EIGRP routing protocols on hybrid network topologies (star and mesh) using Cisco Packet Tracer. The research was conducted by dividing the IP address on each network and simulating data transmission with sizes of 400 bits, 800 bits, and 1200 bits. The results of this study show the comparison of the difference in delivery time between OSPF and EIGRP protocols is 0.0026 seconds with a packet size of 400 bits, 0.003 seconds with a packet size of 800 bits and 0.00317 seconds with a packet size of 1200 bits with EIGRP is superior to OSPF with a ratio of 3:0. With these results, EIGRP performance is slightly better than OSPF performance in terms of delivery time.
Analisis Sentimen Masyarakat Mengenai Revisi UU TNI di X Menggunakan Metode Naive Bayes barutu, serliana; Silalahi, Rasit Junaedi; Tambunan, Yosua; Lipipian, Putri Angel; Yohannes, Yudi
Informatics and Computer Engineering Journal Vol 5 No 2 (2025): Periode Agustus 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v5i2.9544

Abstract

Perkembangan media sosial yang pesat sudah menjadikan platform seperti X (sebelumnya Twitter) sebagai sumber utama data tentang opini publik. Masyarakat aktif membagikan pandangan mereka terhadap banyak isu soisal maupun politik melalui cuitan yang bersifat terbuka dan real-time. Penelitian ini bertujuan untuk menganalisis sentiment masyarakat terhadap Revisi Undang -Undang TNI yang mendapatkan berbagai tanggapan publik, terutama di media sosial. Revisi ini dianggap kontroversial karena dinilai dapat memperluas peran TNI di ranah sipil tanpa mekanisme akuntabilitas yang jelas. Data diperoleh dari platform X menggunakan kata kunci “Tolak Revisi UU TNI” dalam rentang waktu 15-20 maret 2025, dengan total 1.003 cuitan. Proses analisis melibatkan tahapan preprocessing data, pelabelan sentiment, implementasi klasifikasi menggunakan algoritma Naïve Bayes, serta evaluasi hasil klasifikasi. Naïve Bayes dipilih karena kompetensinya yang efisien dalam menangani data teks dan akurat dalam klasifikasi sentiment. Hasil akhir dari penelitian ini diharapkan dapat memberikan gambaran umum terhadap pandangan masyarakat, apakah cenderung mendukung (pro) atau menolak (kontra) terhadap Revisi UU TNI, serta menghasilkan kontribusi bagi pengambilan keputusan dari kajian kebijakan publik berbasis data.  
Co-Authors barutu, serliana Limbeng, Yuni br Lipipian, Putri Angel Naibaho, Marcel Silalahi, Rasit Junaedi Sipayung, Sardo Pardingotan Sirait, Juan Sebastian Situmorang, Yudi Yohannes Yohannes, Yudi