cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mesran
Contact Email
mesran.skom.mkom@gmail.com
Phone
+6282370070808
Journal Mail Official
jurnal.bulletincsr@gmail.com
Editorial Address
Jalan sisingamangaraja No 338 Medan, Indonesia
Location
Kota medan,
Sumatera utara
INDONESIA
Bulletin of Computer Science Research
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27743659     DOI : -
Core Subject : Science,
Computer Science & IT
Bulletin of Computer Science Research covers the whole spectrum of Computer Science, which includes, but is not limited to : • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Bayesian Networks and Probabilistic Reasoning • Biologically Inspired Intelligence • Brain-Computer Interfacing • Business Intelligence • Chaos theory and intelligent control systems • Clustering and Data Analysis • Complex Systems and Applications • Computational Intelligence and Soft Computing • Distributed Intelligent Systems • Database Management and Information Retrieval • Evolutionary computation and DNA/cellular/molecular computing • Expert Systems • Fault detection, Fault analysis, and Diagnostics • Fusion of Neural Networks and Fuzzy Systems • Green and Renewable Energy Systems • Human Interface, Human-Computer Interaction, Human Information Processing • Hybrid and Distributed Algorithms • High-Performance Computing • Information storage, security, integrity, privacy, and trust • Image and Speech Signal Processing • Knowledge-Based Systems, Knowledge Networks • Knowledge discovery and ontology engineering • Machine Learning, Reinforcement Learning • Networked Control Systems • Neural Networks and Applications • Natural Language Processing • Optimization and Decision Making • Pattern Classification, Recognition, speech recognition, and synthesis • Robotic Intelligence • Rough sets and granular computing • Robustness Analysis • Self-Organizing Systems • Social Intelligence • Soft computing in P2P, Grid, Cloud and Internet Computing Technologies • Support Vector Machines • Ubiquitous, grid and high-performance computing • Virtual Reality in Engineering Applications • Web and mobile Intelligence, and Big Data • Cryptography • Model and Simulation • Image Processing
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6 Documents
 1 
Search results for , issue "Vol. 3 No. 3 (2023): April 2023" : 6 Documents clear
Sistem Pendukung Keputusan Pemilihan Perusahaan Ekspedisi Menggunakan Metode Analytic Network Process Jackri Hendrik; Feriani Astuti Tarigan
Bulletin of Computer Science Research Vol. 3 No. 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i3.196

Abstract

CV. Wahana Gemilang Trans is a company that often uses transportation services from other shipping companies. The selection of a shipping company that involves many factors can be confusing. There are times when the shipping costs offered are quite affordable so that they can reduce shipping costs, but goods are often late, or claims for damaged goods take a long time. This problem can be solved by building a Decision Support System (DSS) application. The research used the Analytic Network Process (ANP) method. Variable data or assessment criteria for shipping companies taken from CV. Wahana Gemilang Trans, namely claims for damaged goods, shipping costs, delivery delay times, service for tracking orders and response speed. The first step is to make comparisons between criteria. Then this method looks for the weights for each criterion and ensures that the comparison of the criteria is consistent. After that, the value of each shipping company is calculated. The end result of the ANP method is the ranking of shipping companies, starting from the highest value to the lowest value. Applications can be used to choose the right shipping company in minimizing delivery delays, namely by analyzing the dependence between criteria, so that the best criteria are selected using the ANP method.
Sistem Pendukung Keputusan Pemilihan Instruktur Komputer Terbaik Menerapkan Metode Profile Matching Nurmayana Sari; Mesran; Fadlina
Bulletin of Computer Science Research Vol. 3 No. 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i3.234

Abstract

The development of computer technology is now very rapid and familiar, making us have to learn how to use computers to increase our knowledge and skills so that they can help and facilitate our daily activities. LKP IBAY COMPUTER is a Course and Training Institute especially in the field of computer technology. The learning process is guided by experienced instructors who are also experts in their fields. Decision support systems are systems used in making decisions based on existing criteria. To help and facilitate agencies in choosing the best computer instructor, a decision support system is created that is able to provide alternative solutions. In this study the method used is the Profile Matching method. The calculation process in the Profile Matching method is by defining the minimum value for each assessment variable. The difference between each testing data value to the minimum value of each variable is a gap which is then given a weight, the smaller the resulting gap, the greater the weight of the value, so that there is a greater chance for someone to be selected as the best instructor. The Profile Matching method is used to provide an assessment of the best alternative considerations from the various options available. Processing values ??using the profile matching method will produce rankings.
Penerapan Metode ARAS Dalam Menentukan Kelayakan Penerima Bantuan PKH Kelurahan Sudirejo-I Medan Adinda Rahmadhani; Mesran; Alwin Fau
Bulletin of Computer Science Research Vol. 3 No. 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i3.235

Abstract

Sudirejo-I Village, Medan City within a certain period of time determines the recipients of the Family Hope Program (PKH) assistance to its citizens. Providing cash assistance to the poor who require them to follow the requirements set by the Family Hope Program, namely sending their children to an education, and carrying out regular visits to health facilities for children aged 0 to 6 years, pregnant women and postpartum mothers. However, the provision of PKH social assistance at the Medan City Social Service is still not optimal. Because at the time of selecting the recipients of PKH assistance, there was no supporting system so that at the time of the selection process it was still using estimates and there was no calculation at the time of selecting the recipients of the assistance. So many residents protested because they should be more deserving of PKH assistance. The results of this study aim to create a Decision Support System in the provision of PKH social assistance using the ARAS method, which is one method that supports in helping to determine the eligibility of beneficiaries of the Family Hope Program (PKH), therefore a Decision Support System is needed. With this Decision Support System, it is expected to be able to minimize the occurrence of wrong targets that often arise in the selection process, the results of this study get the highest score obtained by A11 with a total value of 0.8648.
Perancangan Sistem Pendukung Keputusan Berbasis Web Untuk Menentukan Asisten Laboratorium Komputer Menggunakan Algoritma Simple Additive Weighting Rosma Siregar; Erita Astrid; Muhammad Dani Solihin
Bulletin of Computer Science Research Vol. 3 No. 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i3.240

Abstract

The computer laboratory is one of the facilities that support the learning process, therefore, a professional laboratory management system is required to assist lecturers with computer laboratory upkeep. In the process of selecting laboratory assistants it takes quite a long time, is less efficient and cannot save the history of selection results automatically. So this research will create a decision support system using the simple additive weighting method to assist lecturers in selecting computer laboratory systems efficiently. The criteria used for selection were the GPA (Cumulative Achievement Index), Hardware Installation Tests, Software Installation Tests, LAN Installation Tests, Programming Tests, and Interviews. The final results of calculations using the simple additive weighting method will choose 2 alternatives with the highest scores to become computer laboratory assistants, namely alternative 4 (X4) with a value of 0.97 and alternative 2 with a value of 0.91 (X2). The decision support system will be built based on a website and the database system will use MySql.
Sistem Informasi Geografis Fasilitas Kesehatan di Tuntungan Berbasis Android Fajrillah; Lusiah
Bulletin of Computer Science Research Vol. 3 No. 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i3.244

Abstract

The use of Android phone data frames is growing rapidly in today's world. He is known for his ability to retrieve data quickly and accurately, especially during crises. His one of human information needs is information about medical facilities. The purpose of this article is to provide an Android-based application that helps an individual obtain data from his Tuntungan Public Health Authority in various ways. The method used to improve the framework in this review is his waterfall model consisting of five phases: requirements identification, system design, code preparation, program testing, and program implementation. In addition, program development using Visual Studio Code, Flutter SDK, Mobile Emulator, Mobile Emulator and Firebase integration as information base. During this inspection, the use of the Geographic Information System "GIS" was found to be inadequate. Because the people of Tuntungan ran well according to their ability. This Android-based application system can display a map showing the location of medical facilities on the Internet and detailed information about medical facilities in Tuntugan Province.
Optimasi Algoritma Nai?ve Bayes Untuk Klasifikasi Buah Apel Berdasarkan Fitur Warna RGB M Afriansyah; Joni Saputra; Yuan Sa’adati; Valian Yoga Pudya Ardhana
Bulletin of Computer Science Research Vol. 3 No. 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i3.251

Abstract

Apples are one type of fruit that is increasingly popular in Indonesia. This fruit is not only popular because it tastes good, but is also rich in nutrients and fiber which are beneficial for the health of the body. Along with the development of the agricultural industry in Indonesia, domestic apple production is also increasing. This study aims to classify types of apples based on RGB color using research methods that include apple image data collection, RGB feature extraction, data division with k-fold cross validation, classification model with Naive Bayes. This method utilizes color features taken from apple images as input to determine the appropriate class or type of apple. The test results show that the accuracy for the sweet level has a value of 100%, for the medium level it has a value of 86.66% and for sour it has a value of 80%. The average accuracy of the Naïve Bayes method is 88.88%. Classification results using the Naïve Bayes algorithm.

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol. 6 No. 2 (2026): February 2026 Vol. 6 No. 1 (2025): December 2025 Vol. 5 No. 6 (2025): October 2025 Vol. 5 No. 5 (2025): August 2025 Vol. 5 No. 4 (2025): June 2025 Vol. 5 No. 3 (2025): April 2025 Vol. 5 No. 2 (2025): February 2025 Vol. 5 No. 1 (2024): December 2024 Vol. 4 No. 6 (2024): Oktober 2024 Vol. 4 No. 5 (2024): August 2024 Vol. 4 No. 4 (2024): June 2024 Vol. 4 No. 3 (2024): April 2024 Vol. 4 No. 2 (2024): Februari 2024 Vol. 4 No. 1 (2023): December 2023 Vol. 3 No. 6 (2023): October 2023 Vol. 3 No. 5 (2023): Agustus 2023 Vol. 3 No. 4 (2023): June 2023 Vol. 3 No. 3 (2023): April 2023 Vol. 3 No. 2 (2023): Februari 2023 Vol. 3 No. 1 (2022): Desember 2022 Vol. 2 No. 3 (2022): Agustus 2022 Vol. 2 No. 2 (2022): April 2022 Vol. 2 No. 1 (2021): Desember 2021 Vol. 1 No. 3 (2021): Agustus 2021 Vol. 1 No. 2 (2021): April 2021 Vol. 1 No. 1 (2020): Desember 2020 More Issue