Article Per Year (5 Year)
p-Index From 2021 - 2026
2.994
P-Index
This Author published in this journals
All Journal Jurnal sistem informasi, Teknologi informasi dan komputer Electro Luceat Insect (Informatics and Security) : Jurnal Teknik Informatika bit-Tech Cendekia : Jurnal Pengabdian Masyarakat Generation Journal JTIK (Jurnal Teknik Informatika Kaputama) Jurnal of Applied Multimedia and Networking Prosiding Conference on Research and Community Services JTECS : Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) JISCOMP (Journal of Information System and Computer)
Utomo, Yudo Bismo
Unknown Affiliation
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Transportation Other

Published : 25 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Electro Luceat

 1 
PENERAPAN METODE MOORA DALAM SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN DOSEN PEMBIMBING TUGAS AKHIR Utomo, Yudo Bismo; Kurniadi, Harso; Anam, Syaiful; Rachmad, Aeri
Electro Luceat Vol 10 No 2 (2024): Elektro Luceat- November 2024
Publisher : LPPM Poltek ST Paul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jelekn.v10i2.854

Abstract

The Computer Engineering program at UNISKA Kediri is a study program focused on information technology. Despite being an IT-based program, the process of determining Final Project a lecture is carried out through a coordination meeting mechanism with the lecturers. In this meeting, a lecture matched based on their expertise and the topic of the Final Project proposed by each student. This discussion process requires a significant amount of time, making student services less efficient in terms of time management. To address this issue, a decision support system is needed to help the program coordinator expedite the lecture assignment process without compromising the accuracy of matching lecturer expertise to the students Final Project topics. This research uses the MOORA method (Multi-Objective Optimization on the Basis of Ratio Analysis). This method effectively conducts multi-criteria selection by considering various factors. The results of this study, based on data from 10 trials using the MOORA method, showed an accuracy of 90%, meaning that students were assigned a lecture in line with their respective areas of interest.
IMPLEMENTASI ALGORITMA NAIVE BAYES PADA SISTEM MONITOR KUALITAS AIR KOLAM LELE BERBASIS IOT Setiono, Nur Syahad; Utomo, Yudo Bismo; Alfin, Ach Arif
Electro Luceat Vol 10 No 1 (2024): Elektro Luceat-Juli 2024
Publisher : LPPM Poltek ST Paul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jelekn.v10i1.740

Abstract

In catfish farming, water quality stability is a key factor as it is considered a crucial parameter for successful catfish cultivation. Several factors influence the pond water quality, such as leftover food, accumulated fish waste, and environmental conditions like rainy or dry seasons. Typically, the replacement of pond water is determined based on visual cues such as water color and odor, relying on rough estimates. Therefore, the author chose the title "Implementation of Naive Bayes Algorithm in IoT-Based Catfish Pond Water Quality Monitoring System" to design a monitoring system capable of assessing the quality of catfish pond water. This system includes monitoring parameters such as temperature, pH, turbidity, and pond water status through the internet network, with the results being displayed on an LCD screen and a website. The Naive Bayes algorithm is employed to determine the status of catfish pond water using data collected from sensors. The research findings indicate a 40% decrease in catfish mortality in ponds equipped with IoT-based systems.
PENERAPAN METODE MOORA DALAM SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN DOSEN PEMBIMBING TUGAS AKHIR Utomo, Yudo Bismo; Kurniadi, Harso; Anam, Syaiful; Rachmad, Aeri
Electro Luceat Vol 10 No 2 (2024): Elektro Luceat- November 2024
Publisher : LPPM Poltek ST Paul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jelekn.v10i2.854

Abstract

The Computer Engineering program at UNISKA Kediri is a study program focused on information technology. Despite being an IT-based program, the process of determining Final Project a lecture is carried out through a coordination meeting mechanism with the lecturers. In this meeting, a lecture matched based on their expertise and the topic of the Final Project proposed by each student. This discussion process requires a significant amount of time, making student services less efficient in terms of time management. To address this issue, a decision support system is needed to help the program coordinator expedite the lecture assignment process without compromising the accuracy of matching lecturer expertise to the students Final Project topics. This research uses the MOORA method (Multi-Objective Optimization on the Basis of Ratio Analysis). This method effectively conducts multi-criteria selection by considering various factors. The results of this study, based on data from 10 trials using the MOORA method, showed an accuracy of 90%, meaning that students were assigned a lecture in line with their respective areas of interest.
Co-Authors Achmad Arif Alfin Aeri Rachmad Alfin, Ach Arif Anam, Moh. Syaiful Ardiansyah, Muhammad Riko Arianto, Bagus Arif, Achmad Arifin, Muhammad Miftakhul Diana Ambarwati Efi Rokana Erwanto, Danang Evasari, Aprilia Dian Hakim, Arif Frahmana Halimahtus Mukminna, Halimahtus Harsanto, Giofani Heramwan, Muhammad Bagus Hidayatulloh, Moh. Yusuf Iska Yanuartanti Khafi, Agus Maulana Kurniadi , Harso Kurniadi, Harso Kurniasari, Iin Kusumastutie, Diah A W Lestari, Amalia Ita Mahendra, Brian Abimayu Ni’amillah, Ahmad Nonok Supartini Nurkholis, Afif Pradipta, Dody Prawiro, Adi Putri, Firda Nurelia Syah Rahayu, Putri Nur Riska Nurtantyo Sarbini Rizky Arief Shobirin Setiono, Nur Syahad Syaiful Anam Taufikurrohman, Aula Ilyas yanti, dama