Article Per Year (5 Year)
p-Index From 2019 - 2024
1.288
P-Index
This Author published in this journals
All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA The IJICS (International Journal of Informatics and Computer Science) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) KLIK: Kajian Ilmiah Informatika dan Komputer Bulletin of Informatics and Data Science
Juanda Hakim Lubis
Universitas Medan Area, Medan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
Penerapan Metode SMART dalam Seleksi Penerima Bantuan Sosial Warga Masyarakat Terdampak COVID-19 Bambang TJ Hutagalung; Elida Tuti Siregar; Juanda Hakim Lubis
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i1.2618

Abstract

The Tabita Women's Association (PW) faces obstacles in determining objective criteria in determining community members affected by Covid-19 for social assistance to be distributed so that they are right on target. This is due to the absence of a systematic and measurable system in determining which citizens are eligible as recipients of social assistance. To help PW Tabita, it is necessary to establish a system capable of providing output recommendations for the selection of the most appropriate community members as recipients of social assistance. The criteria for selecting social assistance recipients refer to the fulfillment of several elements, namely: employment status, monthly income, number of dependents, residence status, electricity tariff status, insurance participants, and PKH (Family Hope Program) participants. The Simple Multi-Attribute Rating Technique (SMART) method is a method applied in this research. The results showed that determining the appropriate weight for each criterion greatly influenced the results of the calculation of the recommendation for providing social funds for people affected by Covid-19. Then in order to obtain more accurate results, it is necessary to test the validity of the criteria to obtain more precise criteria in accordance with the eligibility needs of receiving social funds for community members affected by Covid-19 from PW Tabita.
Penerapan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Karyawan yang di Non-Aktifkan di Masa Pandemi Juanda Hakim Lubis; Shinta Esabella; Mesran Mesran; Desyanti Desyanti; Deby Monalisa Simanjuntak
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3909

Abstract

Coronavirus Disease 2019 (Covid-19) was first discovered in China, spread to various countries including Indonesia in March 2020. Until 2021 Covid-19 has not disappeared. This of course has an impact that can harm the country and society. Therefore, the government made a policy of Large-Scale Social Restrictions (PSBB) with the aim of breaking the chain of the spread of Covid-19. One of the impacts felt by the community with its presence is the deactivation of employees carried out by several companies to workers on the grounds that they do not have the money to pay the workers. PT. XYZ has difficulty choosing which employees to deactivate. This research is based on these reasons, so the authors decided to use the Multi Attribute Utility Theory (MAUT) method to help make decisions to choose employees who deserve to be deactivated with job prospects, age, length of work per year, education, dependents with an alternative number of 10 (Ten) ) employees. The use of the MAUT method is expected to determine the criteria for employees who deserve to be deactivated, because the MAUT method will perform a ranking process based on attributes with different weights so that the results are more optimal, then a ranking process will be carried out which will determine the optimal alternative as well. The 5 (five) alternatives that deserve to be deactivated are A2 with a result of 0,9303, A8 with a result of 0,5561, A4 with a result of 0,533, A9 with a result of 0,4978, and A1 with a result of 0,4867 is 5 a viable alternative to deactivate during the pandemic
Implementation of TOPSIS Method in the Selection of Candidates for the Student Skills Competition in Technical Competence Drawing Building Juanda Hakim Lubis; Mesran Mesran; Garuda Ginting; Zahri Hubby Ramadhani; Delvi Syahfitri
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 3 (2021): November 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i3.3405

Abstract

The selection of prospective participants in the student skills competition is a prestigious event for all students who attend Vocational High Schools throughout Indonesia, a prospective LKS is tasked with providing the results of a job in the competence of the competition being contested.The selection of the expected LKS candidates is not easy, because the decision to accept or not LKS candidates is still carried out in the old way, namely based on the selection of teachers in the competency areas being contested. This results in inaccurate selection decision making and the results are not appropriate and not on target, for that a decision support system is needed that will later assist decision making. Decision support system with application of methodTechnique for Others Reference by Similarity to Ideal Solution (TOPSIS) It is very much needed in order to be able to help make the right decisions in determining the selection of prospective student skills competitions (LKS) on building drawing engineering competencies. Technique For Others Reference by Similarity to Ideal Solution is a multi-criteria decision-making method or alternative choice which is an alternative that has the smallest distance from the positive ideal solution and the largest distance from the negative ideal solution from a geometric point of view by using distance.TOPSIS is known that from 3 three students the higher preference value is 0.8846, so that the result of the best student selection decision is the 2nd student. and accurate so that the resulting information can be used as decision support.
Penerapan Metode WASPAS Dalam Pemilihan Perguruan Tinggi Bagi Siswa Sekolah Juanda Hakim Lubis; Debi Gusmaliza; Mesran Mesran
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (337.405 KB) | DOI: 10.47065/josh.v4i1.2358

Abstract

There are so many high school students who do not understand their own criteria because they are confused about choosing the best college. So that most students choose colleges according to the interests of their friends, without finding out which colleges match their criteria. Not even a few of these students follow the directives of their parents. As a result of this, it causes major errors, regrets studying at these institutions and some even move and some even stop. Though each major is tailored to the wishes of students in the future. So that these problems can be solved, then a decision support system is made which will make it easier for students who want to continue to a bachelor's degree or diploma. There are many methods used in decision support systems, one of which is used in this study is the WASPAS method. The way WASPAS works is easy to reach, resulting in a sequence of universities and majors according to their respective criteria, starting from the highest to the lowest. After being applied with the WASPAS method, the final result is the best alternative in alternative A2 with a result value of 14,297.
Penerapan Metode WASPAS (Weighted Aggregated Sum Product) dan ROC (Rank Oder Centroid) Dalam Penentuan Bimbingan Belajar Terbaik Juanda Hakim Lubis; Mesran; Fatimah Nadratul Hakim
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 6 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i6.945

Abstract

Mentoring is a solution that helps to repeat lessons taught at school. The selection of extracurricular lessons includes two factors, namely motivational factors because students choose extracurricular lessons because of low school grades, and consequential motivational factors, students choose extracurricular lessons because of encouragement from outside and invitations from friends. . In determining the best tutoring, a Decision Support System (DSS) is needed. DSS is a solution-based technology system that provides a variety of information to support decision making, both in semi-structured and unstructured situations where there is no certainty about how decisions should be made. To overcome this problem, in this study the authors used the Weighted Aggregation and Product Assessment (WASPAS) method and the Ranked Order Centroid (ROC) method. The WASPAS method performs a ranking process according to attributes with different weights and the ROC method for weighting. The research showed that Bimbel Virgo has the highest priority with a value of 1.093 as the institution of choice in determining the best tutoring, because it gets the highest rating compared to other alternatives
Perbandingan Metode MADM dalam Memilih Pegawai Terbaik dengan Pembobotan Objektif Andre Hasudungan Lubis; Juanda Hakim Lubis; Dinda Rizky Aprillya
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 3 (2023): Juli 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i3.6232

Abstract

Nowadays, MADM or Multi-Attribute Decision Making as the part of decision-making theory has been used in various studies to examine decision making problems. Several methods such as SAW, ARAS, and MABAC are the most popular method to be selected to solve these decision-making problems, especially for personnel selection in a company or institute. However, these methods will certainly present various results. Hence, it is necessary to perform a comparison of the most optimal ranking results between these methods. The study focused on comparing those three methods in handling the personnel selection problem through the objective weighting by using SWARA method. The RSI method also employed to ensure the proper method to be used to solve the MADM problem. Five attributes are selected as the references to select best personnel among 38 of them, including Attendance, Discipline, Performance, Punishment, and Achievement. The study reveals that all of the three methods have the identical of RSI score. The results showed that the three methods had almost the same RSI values. The SAW method has the highest RSI value compared to other methods, namely 0.999489; the MABAC method has an RSI value of 0.999416, and the ARAS method with the lowest RSI value, namely 0.999052. Theoretical and practical implications are presented and discussed, along with suggestions for future research.
Penerapan Metode Multi-Objective Optimization on the Basic of Ratio Analysis (MOORA) dalam Keputusan Penerimaan Siswa Baru Mesran Mesran, M.Kom; Juanda Hakim Lubis; Iwan Fitrianto Rahmad
Bulletin of Informatics and Data Science Vol 1, No 2 (2022): November 2022
Publisher : PDSI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research was made so that the school can easily select new students who are running as students in a school. This selection is done based on the criteria that have been determined by the school. To solve this problem, a decision support system is needed using the Multi-Objective Optimization Method on The Basic of Ratio Analysis (MOORA). this method is also quite easy to use and the results are good by obtaining the best value of 0.2296 with alternative A1 and followed by alternative A5 with a preference value of 0.1383. So that the decision support system by applying the MOORA method can solve problems in the selection of new students who are accepted or declared graduated with a systematic and precise selection. The MOORA method can also be used in people who really need it
Co-Authors Andre Hasudungan Lubis Bambang TJ Hutagalung Debi Guzmaliza Deby Monalisa Simanjuntak Delvi Syahfitri Desyanti - Desyanti Dinda Rizky Aprillya Elida Tuti Siregar Fatimah Nadratul Hakim Garuda Ginting Iwan Fitrianto Rahmad Mesran Mesran, M.Kom Mesran, Mesran Shinta Esabella Zahri Hubby Ramadhani