Bulletin of Computer Science Research
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
Articles
291 Documents
<![CDATA[Sistem Pendukung Keputusan Pemilihan Perusahaan Ekspedisi Menggunakan Metode Analytic Network Process ]]>
<![CDATA[Jackri Hendrik]]>;
<![CDATA[Feriani Astuti Tarigan]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 3 (2023): April 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i3.196
<![CDATA[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.]]>
<![CDATA[Sistem Pendukung Keputusan Pemilihan Instruktur Komputer Terbaik Menerapkan Metode Profile Matching ]]>
<![CDATA[Nurmayana Sari]]>;
<![CDATA[Mesran]]>;
<![CDATA[Fadlina]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 3 (2023): April 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i3.234
<![CDATA[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.]]>
<![CDATA[Penerapan Metode ARAS Dalam Menentukan Kelayakan Penerima Bantuan PKH Kelurahan Sudirejo-I Medan ]]>
<![CDATA[Adinda Rahmadhani]]>;
<![CDATA[Mesran]]>;
<![CDATA[Alwin Fau]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 3 (2023): April 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i3.235
<![CDATA[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.]]>
<![CDATA[Perancangan Sistem Pendukung Keputusan Berbasis Web Untuk Menentukan Asisten Laboratorium Komputer Menggunakan Algoritma Simple Additive Weighting ]]>
<![CDATA[Rosma Siregar]]>;
<![CDATA[Erita Astrid]]>;
<![CDATA[Muhammad Dani Solihin]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 3 (2023): April 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i3.240
<![CDATA[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.]]>
<![CDATA[Sistem Informasi Geografis Fasilitas Kesehatan di Tuntungan Berbasis Android ]]>
<![CDATA[Fajrillah]]>;
<![CDATA[Lusiah]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 3 (2023): April 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i3.244
<![CDATA[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.]]>
<![CDATA[Optimasi Algoritma Nai?ve Bayes Untuk Klasifikasi Buah Apel Berdasarkan Fitur Warna RGB ]]>
<![CDATA[M Afriansyah]]>;
<![CDATA[Joni Saputra]]>;
<![CDATA[Yuan Sa’adati]]>;
<![CDATA[Valian Yoga Pudya Ardhana]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 3 (2023): April 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i3.251
<![CDATA[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.]]>
<![CDATA[Pengenalan Pola Garis Telapak Tangan Menggunakan Metode Fuzzy K-Nearest Neighbor ]]>
<![CDATA[Mahya Rudi Salim]]>;
<![CDATA[Amrul Azizul Aziz Daulay]]>;
<![CDATA[Glen Vier Sinaga]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 4 (2023): June 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i4.261
<![CDATA[Palm pattern recognition is an important topic in the field of pattern recognition and biometrics. This study aims to develop a palm line pattern recognition method using the Fuzzy K-Nearest Neighbor (Fuzzy KNN) method to improve the accuracy and effectiveness of the individual recognition system. The research was conducted by collecting images, performing segmentation, feature extraction, and implementing the Fuzzy KNN method. Based on the results of the experiments that have been carried out, it can be seen that the average accuracy obtained is 20%, which means that the system is less able to recognize palm line patterns. This is due to a lack of dataset which causes poor recognition performance on the model.]]>
<![CDATA[Rekomendasi Berita Berkaitan dengan Menerapkan Algoritma Text Mining dan TF-IDF ]]>
<![CDATA[Natalia Silalahi]]>;
<![CDATA[Guidio Leonarde Ginting]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 4 (2023): June 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i4.266
<![CDATA[News presentation is generally structured in such a way that the information presented is well grouped, but the use of electronic media does not necessarily offer complete news categories because not all of the space offered can be filled with good presentation, so special treatment is needed so that readers get the news. needed which is arranged based on recommendations. To arrange this research to be more structured, the authors carried out several stages in completing the research, namely the Problem Identification Stage, Literature Study Stage, Data Collection Stage, Text Mining and TF-IDF Algorithm Implementation Stage, and conclusions. The author implements the text mining and TF-IDF algorithms in processing news title data starting with the Text Mining Algorithm where this stage is a preprocessing stage with the aim that the data to be processed is a basic word so that the weighting process in the TF-IDF Algorithm is not too broad. After the text mining stage, it will proceed to the TF-IDF stage, namely weighting the terms in each document. Text mining and TF-IDF algorithms are able to provide appropriate news recommendations based on the highest similarity in meaning both in terms of topic and object of the news title, for future research it is recommended to use other algorithms such as cosine similar so that recommendations are not only generated from the suitability of words but can also see the similarity of meaning so that research results can be even better.]]>
<![CDATA[Sistem Informasi Monitoring Absensi Menggunakan Framework COBIT 4.1 ]]>
<![CDATA[Cipta M Pasaribu]]>;
<![CDATA[Mega Mustika]]>;
<![CDATA[Dewi Rosmayanti]]>;
<![CDATA[Abdul Rahman Kadafi]]>;
<![CDATA[Eko Setia Budi]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 4 (2023): June 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i4.268
<![CDATA[Aprogress in every field cannot be separated from technology as a support, especially IT, it must be balanced with an evaluation or audit of information systems so that losses can be prevented or avoided. Therefore, the company needs to carry out a control and audit of the information system at the company. Control techniques can be applied and aligned with IT goals and company goals, a measurement of the level of alignment between company goals and IT goals is needed using COBIT4.1. COBIT 4.1 is specific to the Monitoring and Evaluation (ME) domain.]]>
<![CDATA[Analisis Perencanaan Strategis Sistem Informasi dengan Metodologi Tozer pada Sabisu Interior ]]>
<![CDATA[Sri Anardani]]>;
<![CDATA[Latjuba Sofyana STT]]>;
<![CDATA[Yessi Yunitasari]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 4 (2023): June 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i4.269
<![CDATA[Sabisu Interior is an interior design service company located in Ngawi Regency. The operational management of ordering Sabisu Interior services has not yet used an information system. Problems arise because of the increasing number of customers and demand for the number of orders. Order, production and financial data management is still carried out by recording it in Microsoft Office applications. his raises the problem of discrepancies between order data, production data and financial data. In this research, a strategic planning of information systems and information technology will be carried out using the Tozer method. Several analysis tools are used such as Value Chain, PEST, CSF and Mc. Farlan Strategic Grid to provide an overview of IS/IT implementation. The research objective is to produce a portfolio of IS/IT strategic planning models that support Sabisu Interior's business strategy and vision and mission. The formulation of IS/IT strategic planning using the tozer method in this study produced an IS/IT strategic planning portfolio document. The results of this research in the form of a portfolio document contain 9 proposals for implementing IS/IT which will be used as recommendations for Sabisu Interior to make decisions regarding the development of IS/IT for the company in the future.]]>
