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Analisis Kelayakan Panjang dan Tebal Perkerasan Runway Untuk Pesawat Jenis B737-900ER yang Beroperasi di Bandar Udara Banyuwangi Ariawan, I Putu; Wahyudi, Iqbal; Jayantari, Made Widya
Jurnal Ilmiah Telsinas Vol 4 No 2 (2021)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (406.929 KB) | DOI: 10.38043/telsinas.v4i2.3341

Abstract

Runway is an airport facility which is very important for aircraft landing and taking off. The runway is a square area on the surface of the airport that is prepared for aircraft take off and landing, without a well-planned and managed runway, the aircraft will not be able to use the airport. In designing the runway, it is strictly regulated regarding the length, width, orientation (direction), configuration, slope / slope, and thickness of the runway pavement. This final project will analyze the feasibility of the runway length and the thickness of the pavement (runway) for the operational plan aircraft that will be used in the next 20 years. With ARFL corrections to the existing runway conditions, the current runway length is 2,500 meters. For the next 20 years traffic flow is forecasted using linear regression analysis from 2011 to 2037. From the forecasting results, it was found that the total aircraft movement was 19,138 movements (R1), so it was planned to use the B 737 900 ER aircraft because this aircraft had a passenger capacity of 220 seats. This aircraft is the reference for the planning of the runway dimensions. Some of the resulting planning analyzes include: the length of the planned runway is 2,498 meters long and 45 meters wide. Meanwhile, the pavement planning analysis resulted in a surface layer thickness of 4 inches, a base coarse layer of 13 inches, and a subbase thickness of 22 inches.
PENERAPAN ALGORITMA BFS DALAM SISTEM REKOMENDASI TEMAN BERDASARKAN KEDEKATAN PADA JEJARING SOSIAL Wahyudi, Iqbal; Hamri, Muhammad Akhyar Fath Khairullah; Setiawan, Nendi Bagus; Pratama, Zean Ananda; Setiadi, Tedy
JIPETIK:Jurnal Ilmiah Penelitian Teknologi Informasi & Komputer Vol 6, No 2 (2025): JIPETIK: Jurnal Ilmiah Pendidikan Teknologi Informasi & Komputer (In Press)
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jipetik.v6i2.24333

Abstract

Perkembangan teknologi dan jejaring sosial memungkinkan pengguna terhubung luas melalui platform digital seperti Facebook dan Instagram. Salah satu fitur penting adalah sistem rekomendasi teman, yang membantu memperluas jaringan sosial secara efektif. Penelitian ini menerapkan algoritma Breadth-First Search (BFS) untuk membangun sistem rekomendasi teman berdasarkan kedekatan hubungan sosial. Jejaring sosial dimodelkan sebagai graf tak berarah, dengan simpul mewakili pengguna dan sisi menunjukkan hubungan pertemanan dua arah. BFS digunakan untuk menelusuri graf mulai dari pengguna aktif, mengidentifikasi teman langsung (level 1) dan teman dari teman (level 2) yang berpotensi direkomendasikan. Implementasi dilakukan menggunakan bahasa Python, dengan struktur data adjacency list, queue, dan set. Hasilnya menunjukkan bahwa pendekatan BFS mampu menghasilkan rekomendasi yang relevan secara sosial, efisien untuk jaringan berskala besar, serta mendukung pengalaman pengguna dalam membangun relasi baru. Sistem ini menyoroti pentingnya kedekatan sosial struktural dalam menentukan calon teman potensial.