Article Per Year (5 Year)
p-Index From 2021 - 2026
1.285
P-Index
This Author published in this journals
All Journal Jurnal Riset Informatika Journal of Computer System and Informatics (JoSYC) INTECH (Informatika dan Teknologi) Sistem Komputer & Teknologi Intelegensi Artifisial (SIKOMTIA)
Asruddin
Universitas Bung Karno
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Computer System and Informatics (JoSYC)

 1 
Penerapan Algoritma C4.5 Dalam Mengukur Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Program Studi Joko Saputro; Asruddin Asruddin; Alexius Ulan Bani; Mesran Mesran
Journal of Computer System and Informatics (JoSYC) Vol 4 No 1 (2022): November 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i1.2565

Abstract

In an effort to improve the quality of one's work, an assessment can be carried out. Because with the assessment, an evaluation of the level of quality of a person's work can be carried out. At a university there are many study programs. Where one of the study programs at the university is the informatics engineering study program. In carrying out their duties and responsibilities, the campus makes efforts to improve the quality of work, the leadership evaluates by evaluating the quality of work of the staff at the university. In measuring the quality of work of the staff working in the Study Program, the leadership conducts an assessment of the study program. In conducting the assessment by measuring the level of student satisfaction with the Study Program. Based on this study, it was concluded that PUAS students towards the services of the Study Program.
Pendeteksian Penyakit Mulut dan Kuku Pada Sapi dengan Menerapkan Metode Naïve Bayes Asruddin; Alexius Ulan Bani; Asruddin Asruddin
Journal of Computer System and Informatics (JoSYC) Vol 3 No 4 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i4.1934

Abstract

The outbreak of the issue in 2022 related to foot and mouth disease which is a viral outbreak experienced in ruminant livestock. This virus outbreak is a virus that is easily transmitted and attacks all types of animals that have even or split nails. The spread of this epidemic is very troubling for the breeder, one of the cattle or cattle breeders. Where as a result of this outbreak, many cattle breeders suffered enormous losses both in terms of finances and the time of raising their livestock. The reason is that many cattle breeders, especially in rural areas, do not know how to treat this disease early and require a large amount of money if the cattle are examined by a veterinarian. Therefore, to make it easier for cattle breeders, we need a way to find out the causes and conditions of cows suffering from mouth and hoof disease based on the symptoms experienced by cows, one of which is by using an expert system. Naive Bayes. The Naïve Bayes method is a probability method by predicting future opportunities based on past experience. As a result, the owner of the cow should treat the cow so as to avoid death and infection to other animals.
Co-Authors Abdul Rahman Ade Davy Wiranata Alexius Ulan Bani Eko Ardyansyah Ilham Ilham Jefri Kusuma Rambe Jefri Kusuma Rambe Joko Saputro Mesran, Mesran Mirza Sutrisno Punaji Haruman Roby Anggi Maresya Putra Serli Yuni Wulandari Yoga Listi Prambodo