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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Informasi dan Komputer Jurnal Ilmiah Wahana Pendidikan Jurnal Informatika Polinema (JIP)
Tesa Nur Padilah
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Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Library & Information Science Mathematics Social Sciences Other

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Journal : Jurnal Informasi dan Komputer

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PERBANDINGAN METODE SIMPLE QUEUE DAN QUEUE TREE DALAM OPTIMALISASI MANAJEMEN BANDWIDTH Nafis Naufal Anwari; Puwantoro .; Tesa Nur Padilah
Jurnal informasi dan komputer Vol 10 No 2 (2022): Jurnal Sistem Informasi dan Komputer yang terbit pada tahun 2022 pada bulan 10 (
Publisher : STMIK Dian Cipta Cendikia Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v10i2.365

Abstract

The internet is currently very much needed because of the increasing number of users, many people are dependent on the internet because this information technology is very fast. In this case, it has a huge impact on the need for the provision of very efficient internet services. One technology that is becoming a trend in computer networks, namely wireless computer networks (wireless local area networka / WLAN). This technology is the development of local area network technology that allows efficiency in the implementation and development of computer networks that can increase user mobility and computer network technology using cable media. Bandwidth management is a way to manage the internet network for even distribution of bandwidth usage even though many network users use the simple queue and queue tree method, one method for doing a bandwidth management, in this simple queue and queue tree there are bandwidth management settings and can add bandwidth size every larger client, this research methodology uses qualitative research results. The results showed that the results of the comparison of two simple queue and queue tree methods were optimal enough to be used in cybercomnet bandwidth management.
PENERAPAN ALGORITMA K-MEANS CLUSTERING UNTUK PENGELOMPOKAN KECELAKAAN BERKENDARA DI RUAS TOL JAKARTA-CIKAMPEK Mochamad Riszky Sulaeman; Purwantoro .; Tesa Nur Padilah
Jurnal informasi dan komputer Vol 11 No 01 (2023): Jurnal Informasi dan Komputer yang terbit pada tahun 2023 pada bulan 04 (April)
Publisher : STMIK Dian Cipta Cendikia Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v11i01.369

Abstract

The high number of driving accidents on toll roads is an evaluation material. So that it becomes a special concern for toll road service providers, both state-owned and private, which have proven this concern by improving, adding infrastructure and educating road users to minimize accidents on toll roads. The initial stage of preventing driving accidents is to find out the factors that cause driving accidents obtained through accident data analysis. The analysis can be done with Data Mining, namely K-Means Clustering. K-Means Clustering groups the data into several clusters according to the characteristics of the data. The clustering stage is carried out by determining the number of cluster trials, namely by setting k = 3, k = 5 and k = 7, and the performance is using the Davis Bouldin Index (DBI). The results of the cluster application of K-Means Clustering are tested to determine the best cluster model that tested and refers to the evaluation of DBI performance which approaches the value of Zero (Best value) sequentially so that the value of k=7 is the best DBI value of 0.179 while for k=5 the DBI is 0.180 and k=3 the DBI value is 0.233.
Co-Authors Asep Jamaludin Budi Arif Dermawan Carudin Carudin Dadang Yusup Dea Amelia Fadhlan Sulistiyo Hidayat Mochamad Riszky Sulaeman Nafis Naufal Anwari Nikita Salsabila Nina Sulistiyowati Novi Widiawati Purwantoro . Puwantoro . Raynaldy Mahdi Putra RIfky Pujianto Rizma Berliana Putri Affandi Virgaria Zuliana Wahyu Alfafisabil