Article Per Year (5 Year)
p-Index From 2020 - 2025
0.751
P-Index
This Author published in this journals
All Journal JOMLAI: Journal of Machine Learning and Artificial Intelligence
Muhammad Ridwan Lubis
STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
Computer Science & IT Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Implementation of Genetic Algorithm for Subject Scheduling at SD Taman Cahya Pematangsiantar Muhammad Irfan; Muhammad Ridwan Lubis; Zulaini Masruro Nasution
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 2 (2022): June
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (707.227 KB) | DOI: 10.55123/jomlai.v1i2.940

Abstract

The teaching schedule in schools is essential in teaching and learning activities; this schedule aims to support, facilitate, and improve the quality of education. With a teaching schedule, teaching and learning activities will run smoothly and efficiently. Until now, the scheduling of lessons in several schools is still done conventionally by the curriculum department, with previously held meetings for the division of tasks with the supervising teacher. The conventional teaching scheduling system for school teachers will be deemed less effective. In addition to requiring very high accuracy and relatively few estimates, this method also allows for errors. Therefore, this study aims to implement a genetic algorithm to optimize subject scheduling and apply the teacher scheduling model generated by the genetic algorithm in a web application. The data of this study were collected from observations at SD Taman Cahya Pematangsiantar. As a result, scheduling using genetic algorithms can generate schedules automatically, displaying the plan on the day and hour of each teacher's teaching schedule, thus creating an optimal solution for scheduling. In addition, applying the Genetic Algorithm is faster and easier in the process of making a schedule for setting teacher teaching hours so that it does not take a long time.
Analysis of Community Service Satisfaction Levels at the Pematangsiantar Environmental Service Using the Fuzzy Mamdani Method Joel Tindaon; Muhammad Ridwan Lubis; Ika Okta Kirana
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 2 (2022): June
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (558.208 KB) | DOI: 10.55123/jomlai.v1i2.953

Abstract

Currently, there are still many weaknesses and shortcomings in public services carried out by government officials, so that they have not been able to meet the quality expected by the community. This is indicated by the lack of good public services delivered through the mass media. Given that the main function of the government is to serve the community, the government must strive to improve the quality of service for the better. In this study, an analysis of the level of community service satisfaction at the Pematangsiantar environmental service will be carried out using the Fuzzy Mamdani method. Data was collected by means of observation, literature study and interviews with the Pematangsiantar Environmental Service Office. The data used consists of several variables: Number of Respondents (Variable 1), Total Response Results (Variable 2) and Output Results (Variable 3). Based on 45 respondents with a total of 43 responses, the satisfaction output obtained is 560. Based on 50 respondents, 49 responses are obtained, so the service satisfaction output is 578. The conclusion is based on the calculation of the Mamdani Fuzzy model in 2021, the community is satisfied for the services provided by the Pematangsiantar environmental service based on the range of values ​​that have been generated.
Application of Data Mining Classification C4.5 Patient Satisfaction with Tuan Rondahaim Simalungun Hospital Service Nadrah Fauziah; Muhammad Ridwan Lubis; Bahrudi Efendi Damanik
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 4 (2022): December
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (418.312 KB) | DOI: 10.55123/jomlai.v1i4.1678

Abstract

The purpose of this study was to produce a measuring instrument for patient satisfaction with hospital services. In order to further improve patient care. The method used in this study is the C4.5 Algorithm, where the data source used is a questionnaire/questionnaire technique which is given a questionnaire to the general public who visit the hospital. The results of this study are expected to provide input to the Tuan Rondahaim Hospital in Simalungun by using the C4.5 Algorithm. This can be done by using a decision tree model or decision tree in the C4.5 algorithm. In this study, the researchers used data from the patients of RSUD Tuan Rondahaim, totaling 105 patients through a questionnaire that the researchers distributed. The variables are Hospital Place (C1), Empathy (C2) and Responsiveness (C3). The testing process of this study uses Rapid Miner software to generate rules and a decision tree model or decision tree that will be used in determining the patient satisfaction factor for Tuan Rondahaim Hospital. The results of this study obtained 14 rules with an accuracy rate of 93.55%.
DSS Approach with the AHP Method in the Selection of Quiz Participants at SDIT Permata Cendekia Ahmad Fadhli Hasibuan; Rahmat W. Sembiring; Muhammad Ridwan Lubis
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 2 No. 1 (2023): March
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jomlai.v2i1.1866

Abstract

This study aims to develop a decision support system for the selection of intelligent candidates using the Analytical Hierarchy Process (AHP) method. The case study was conducted at SDIT Permata Cendekia, an educational institution in Indonesia. The AHP method is used as a framework for making decisions based on hierarchically determined criteria and sub-criteria. The data needed in this study were obtained through interviews and observations at SDIT Permata Cendekia. After that, the steps in the AHP method, namely making a pairwise comparison matrix, calculating the weight of criteria and sub-criteria, and calculating alternative scores, are carried out in developing a decision support system. Based on the research, it was found that alternative A3 was the best alternative out of 12 alternatives assessed based on 4 (four) assessment criteria. This research is expected to be able to provide effective and efficient solutions in the process of selecting candidate quizzes at SDIT Permata Cendekia, as well as being the basis for developing a similar decision support system in selecting candidate quizzes at other educational institutions.
Co-Authors Ahmad Fadhli Hasibuan Bahrudi Efendi Damanik Ika Okta Kirana Joel Tindaon Muhammad Irfan Nadrah Fauziah Rahmat W. Sembiring Zulaini Masruro Nasution