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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Ilmiah Media Sisfo KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JiTEKH (Jurnal Ilmiah Teknologi Harapan) Journal of Social Responsibility Projects by Higher Education Forum Jurnal ABDIMAS Budi Darma Journal of Computing and Informatics Research Jurnal Mitra Pengabdian Farmasi
Bister Purba
Universitas Budi Darma, Medan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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Implementasi Metode MAUT Dalam Seleksi Calon Marketing Retail dengan menerapkan pembobotan ROC Mei Mariana Boangmanalu; Mesran Mesran; Bister Purba
Jurnal Ilmiah Media Sisfo Vol 16 No 2 (2022): Jurnal Ilmiah Media Sisfo
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2022.16.2.1264

Abstract

Marketing Retail merupakan karyawan yang bertanggung jawab untuk menjual produk perusahaan dengan menggunakan berbagai strategi agar produk yang dihasilkan perusahaan dapat bersaing dengan produk lain, dan dapat diterima oleh konsumen, serta produk tersebut dapat dijual dan menguntungkan perusahaan. Permasalahan yang terjadi dalam proses rekrutmen Marketing Retail pada Pasar Swalayan Maju Bersama yang hanya menerapkan proses seleksi dokumen dan wawancara saja, tanpa mengidentifikasi keterampilan karyawan. Kesalahan dalam seleksi marketing retail tentunya akan memiki dampak negatif bagi kinerja perusahaan. Oleh karena itu, diperlukan suatu sistem pendukung keputusan untuk mengatasi permasalahan dalam menyeleksi calon marketing retail dengan menerapkan Metode MAUT dalam proses pemeringkatan, dan Metode ROC untuk menghasilkan nilai bobot. Dalam menentukan calon Marketing Retail menurut metode yang digunakan terdapat 15 alternatif yang diseleksi, sehingga diperoleh 10 alternatif yang lolos menjadi calon marketing retail dengan nilai perangkingan tertinggi yaitu Friska Larisna (A6) dengan perolehan nilai sebesar 0.575.
Analisis Perbandingan Kinerja Boldi-Vigna Codes Dengan Algoritma Fixed Lenght Binary Encoding (FLBE) Dalam Kompresi File Text Ewit Purba; Efori Bu’ulolo; Bister Purba
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5700

Abstract

The increasing use of larger data causes problems in data storage, the greater the data stored, the greater the storage space that will be needed. This can cause the data transformation process to be slow and take a long time. Currently, there are many algorithms developed for data compression, but none are so good for compressing various file types because of their different characteristics. One solution or alternative in solving the problem that will be done is to compress the file to reduce the size of the data and speed up the data transmission process so as to save storage space. The algorithms used in this research are Boldi-Vigna (ζ1) Code and Fixed Length Binary Encoding (FLBE) algorithms. To find out the comparison of compression performance, the parameters to be compared are Ratio of Compression (RC), Compression Ratio (CR), Space Saving (SS), Redundancy (Rd), Compression & Decompression Time. Based on the test results show that the Fixed Length Binary Encoding (FLBE) algorithm is better than the Boldi-Vigna (ζ1) Code algorithm where the average result of the comparison of the Boldi-Vigna (ζ1) Code Ratio is 1.69 bits while the Ratio of Compression algorithm Fixed Length Binary Encoding (FLBE) 1.86 bits. The average compression ratio of the Boldi-Vigna algorithm (ζ1) Code is 58.92%, while the Compression Ratio of the Fixed Length Binary Encoding (FLBE) algorithm is 53.57%.
Implementasi Metode MOORA Dalam Sistem Pendukung Pemilihan Kepala Mandor Pada PT. PP Proyek Bendungan Lau Simeme Fresillya Br Sembiring; Nelly Astuti Hasibuan; Bister Purba
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5772

Abstract

The head foreman is someone who works in the construction field who will have expertise in leading several jobs at a particular company when working on a project he is responsible for all activities in the field of work. The existence of the foreman is very helpful for other employees in carrying out the tasks that must be done in order to achieve company goals. Problems that often occur during the selection of the head foreman at PT. The PP of the Lau Simeme Dam Project is still subjective and does not match the position so that PT. The PP of the Lau Simeme Dam Project has not increased and is not being driven forward, of course it will have an impact on other operations. This is certainly not very good because it affects the smooth operation of PT. The PP Lau Simeme Dam Project and the objectives are not correct. Therefore we need a decision support system to uphold objectivity in the process of selecting the chief foreman. In a decision support system, the MOORA method can be applied which is able to produce the best decision and several alternatives are inputted. To overcome the selection of the head foreman, the method used is the implementation of the MOORA method. This method can filter the best alternatives because the MOORA method is able to determine goals based on conflicting criteria, so the use of this method is appropriate to solve this problem.
Pelatihan Editing Video Guna Peningkatan Kreativitas Karang Taruna Pada Desa Mangga Dua Dito Putro Utomo; Bister Purba; Fince Tinus Waruwu
Jurnal Mitra Pengabdian Farmasi Vol. 1 No. 2 (2022): Februari 2022
Publisher : Akademi Farmasi YPPM Mandiri

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

Abstract

In the current era of technological progress, many institutions have used and taken advantage of these technological advances. Not only large-scale institutions or organizations, small-scale institutions or organizations have also taken advantage of the role of this technology. Likewise with Mangga Dua Village which has taken advantage of these technological advances. Mangga Dua Village collaborates with Karang Taruna to assist in the process of disseminating information conveyed to communities outside Mangga Dua Village by utilizing the role of technology. In Mangga Dua Village, the role of Karang Taruna is to help advance and develop Mangga Dua Village. One of the main roles of Karang Taruna is to assist in the use of technology for the process of product marketing activities produced by the community in Mangga Dua Village. The promotion process for Mangga Dua Village products and also the Mangga Dua Village profile will later be carried out in the form of videos to make it easier to see the message conveyed. The lack of knowledge or expertise of Karang Taruna members is because there is still no training or assistance in the process of creating video content. The video editing process has now been helped a lot with free applications that can be accessed and used by anyone. Video editing training conducted by the Budi Darma University dedication team to members of the Mangga Dua Village Youth Organization is useful for assistance in video editing and also aims to increase creativity for Karang Taruna members.
Implementation of the Simple Additive Weighting (SAW) Method in Selection of Students Recipients of Single Tuition Fee Assistance Riki Sulistio; Ahmad Fahreza Nasution; Muhammad Tawaf Akbar; Rima Tamara Aldisa; Bister Purba
Journal of Computing and Informatics Research Vol 3 No 2 (2024): March 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v3i2.1202

Abstract

Higher education in Indonesia, including at Budi Darma University, continues to be committed to creating an inclusive and equitable learning environment for all students. In line with this determination, Budi Darma University is implementing the Single Tuition Assistance (BUKT) program to support educational accessibility. Obstacles in the selection process, which is subjective and lacks a structured framework, can lead to inequality in the distribution of aid. This can result in students who should receive greater support being overlooked, while those who may need less may receive greater aid. In the BUKT selection process, there are a number of requirements that must be met, such as parents' income, PKH card ownership, completeness of documents, parents' dependents and home ownership. It is hoped that the use of a decision support system can be a solution to overcome this challenge. Decision Support Systems (DSS) integrate computer technology, mathematical models, and data to provide structured and organized support within a decision-making framework. The Simple Additive Weighting (SAW) method is a multi-criteria decision making method that allows relative weighing between criteria to determine the final score for each alternative. By applying SAW in the selection of BUKT recipient students, it is hoped that more objective and data-based decisions can be obtained. The research results produced the best alternative with a value of 100.00 in the alternative with code A5 in Fitri's name, so that Fitri was declared entitled to receive single tuition assistance.
Implementasi Kombinasi Metode ROC dan MAUT Dalam Menentukan Aplikasi Chatting Terbaik Hetty Rohayani; M. Reinaldi; Bister Purba
Journal of Computing and Informatics Research Vol 3 No 3 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v3i3.1500

Abstract

The rapid development of technology makes it easier for humans to communicate with each other more easily by using the best chatting applications. The purpose of this research is to help users who have just used a smartphone to choose the chatting application that suits their needs. The method used in this study is a Decision Support System with Rank Order Centroid (ROC) as the weight value and Multi Attribute Utility Theory (MAUT) as a solution. The alternatives used are Whatsapp, Messager, Discord, Telegram, Line, WeChatting and the criteria used are Security, Storage Media, Network Usage, application features, Display / Interface. The results obtained indicate that the Whatsapp alternative is the first recommendation as the best chatting application with a final value of 0.929456. The Telegram alternative became the second recommendation with a final value of 0.847485 and Line became the third recommendation with a final value of 0,624656.
Co-Authors Ahmad Fahreza Nasution Alpin Apandi Asia Arinanda Singarimbun Dito Putro Utomo Efori Buulolo Eliyah Sari Sipayung Eni Romauli Tamba Ewit Purba Fince Tinus Waruwu Fresillya Br Sembiring Hetty Rohayani M. Reinaldi Mei Mariana Boangmanalu Meryance V Siagian Mesran, Mesran Muhammad Tawaf Akbar Nelly Astuti Hasibuan Putri Ramadhani Rian Syahputra Riki Sulistio Rima Tamara Aldisa Rivalri Kristianto Hondro Sarwandi Wandi Sinta M. Panjaitan Sri Agustiani Br Siburian Surya Darma Nasution