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
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<![CDATA[Aplikasi Pembeda Daging Sapi dan Babi dengan Metode Color Moment dan Local Binary Pattern Histogram ]]>
<![CDATA[Edi]]>;
<![CDATA[Octara Pribadi]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i5.260
<![CDATA[Meat is one of the main food ingredients consumed by humans because it contains a lot of high protein, so it can increase intelligence and increase the stamina that humans need to carry out activities of daily life. Due to the very high level of meat consumption, these meats are often found in the market. The price of pork is cheaper than beef. The price difference between the two meats has led to the emergence of fraudulent practices in the beef trade. To solve this problem, an application to distinguish beef and pork can be designed to help socialize to the public about how to distinguish beef and pork. In this study, color characteristics will be used to distinguish pork and beef, because from previous studies the color characteristics have a higher accuracy. The method that can be used to extract features from meat images is the color moment method. Color feature extraction consists of Mean, Standard Deviation, and Skewness features. Meanwhile, to carry out the process of detecting the type of meat, the Local Binary Pattern Histogram (LBPH) method will be used. LBPH is a technique of the Local Binary Pattern (LBP) method to change the performance of object recognition results. The result of this research is an application that can be used to distinguish beef and pork. The process of recognizing the type of meat using the Color Moment and LBPH methods has a high success rate so that the Color Moment and LBPH methods can be applied to detect the type of meat, with a success rate of 99.33%.]]>
<![CDATA[Sistem Pengembangan Chatbot Whatsapp Untuk Monitoring Hasil Pembelajaran Siswa Sekolah Menngah Kejuruan ]]>
<![CDATA[Zihan Abidin]]>;
<![CDATA[Muhtajuddin Danny]]>;
<![CDATA[Asep Muhidin]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i5.272
<![CDATA[Service is an activity or sequence that occurs in direct interaction between a person and another person or machine physically, and provides customer satisfaction. In serving or accessing information at SMK Negeri 3 Kuningan, they still use conventional methods, so it takes time to access them. As students have to do when they are going to ask about grades with certain subjects, they have to meet the teacher in question. The value recap carried out by the teacher also still uses manuals with the use of file books. Therefore, with this problem, a chatbot is made as a solution to this problem as a forum to solve problems in finding this information. In addition, the value recapitulation also uses a website system to facilitate data processing. The development of this chatbot uses the waterfall method. By developing a system in the form of a chatbot as a student tool and a website as a teacher tool, it is hoped that it will be able to speed up the process of monitoring grades. The results of the study were able to produce a whatsapp chatbot application that students could use to monitor grades and a website that teachers could use to recapitulate grades.]]>
<![CDATA[Analisis Performansi Jaringan 4G Telkomsel Menggunakan Metode Drive Test ]]>
<![CDATA[Muhammad Harun Ashar]]>;
<![CDATA[Dinda]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i5.273
<![CDATA[Availability and quality of the network is very important considering the needs of people who are all connected to internet services. Kuma Hamlet, which is in Sarudu District, West Celebes, has gained access to the 4G service network through the Telkomsel operator, but problems still occur such as a slow network or weak network connection. This study aims to analyze the performance of the Telkomsel 4G network in Dusun Kuma using the Drive Test Method. The research results obtained were Telkomsel's 4G network performance results using the Drive Test Method in Kuma hamlet carried out at 15 Location Points with the help of the Gnet Track Pro Application which were obtained at 3.0 (Normal), with Maximum Performance reaching 4.0 (Good), and Minimum Performance reaching 2.3 (Bad).]]>
<![CDATA[Optimasi Antena Mikrostrip 915 MHz Substrat Jeans Patch Slot Persegi Menggunakan CST Studio ]]>
<![CDATA[M. Iqbal]]>;
<![CDATA[Sopian Soim]]>;
<![CDATA[Martinus Mujur Rose]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i5.278
<![CDATA[Microstrip antennas using jeans substrates have advantages in ease of manufacture, flexibility of use because they are flexible and fashionable, and are very suitable for application in telemedicine devices with the application of Industrial, Scientific and Medical or ISM frequency bands. In this study, the use of a microstrip antenna with a textile substrate was designed with CST studio simulation software to obtain antenna performance according to the expected working frequency, namely at a frequency of 915Mhz. From the results of the initial calculations and design, the patch size obtained is 172,817mm for the patch width value and 126,7476mm for the patch length value. In testing the vswr value, the vswr value is at a value of 14 before optimization and 1.2 after optimization. In testing the S parameter value, it produces a reading of -23 after optimizing the initial value of -3.7 db. The impedance value recorded is 50ohm from the previous value of 47.4ohm so that it is in accordance with the output impedance characteristics originating from Loa915 mhz.]]>
<![CDATA[Pembuatan Mobile Learning untuk Ibu Mengenali dan Mengatasi Permasalahan Anak Usia Dini Sulit Makan Menggunakan Metode Waterfall ]]>
<![CDATA[Rian Farta Wijaya]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i5.279
<![CDATA[The research aims to develop a mobile learning app for mothers to help them identify and solve early childhood problems that are difficult to eat. The development method used is the Waterfall method, which involves structured stages such as needs analysis, planning, implementation, testing, and maintenance. At the need analysis stage, we conducted surveys and interviews with mothers who had early childhood to understand the challenges they faced in dealing with their children's eating problems. Next, at the design stage, we design an application interface, educational content, and interactive features that will help you understand this issue better. Application deployment involves software development based on the design that has been made. After that, we tested the application to ensure its functionality and effectiveness in helping mothers identify and deal with early childhood eating problems. We also involved moms as test users during this phase to get valuable feedback. The results of this study show that the use of the Waterfall method in the development of Mobile Learning for early childhood problems that are difficult to eat produces applications that can help mothers significantly. The application provides relevant information, practical advice, and community support for mothers facing this problem. In conclusion, the Waterfall method has proven to be effective in producing mobile learning applications that are useful to mothers in dealing with early childhood feeding problems. The app has the potential to enhance mother's understanding of their children's nutrition and provide better solutions to dealing with eating problems in early childhood.]]>
<![CDATA[Komparasi Algoritma Data Mining untuk Klasifikasi Penyakit Diabetes ]]>
<![CDATA[Ivandari]]>;
<![CDATA[Much. Rifqi Maulana]]>;
<![CDATA[Muhammad Faizal Kurniawan]]>;
<![CDATA[M. Adib Al Karomi]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i5.280
<![CDATA[Diabetes is one of the deadly non-communicable diseases that can attack humans. According to data from the World Health Organization (WHO), diabetes has killed at least 2 million people throughout 2019. Many recordings of each phase and condition of diabetes patients are done to support research. One of the most updated records of diabetes patients is the early stage diabetes risk prediction dataset. This dataset was released by the uci repository in late 2020 by the Diabetes Hospital in Bangladesh. Classification in data mining is a science that can extract data to look for patterns or data models to gain new knowledge. Several classification algorithms that are widely used and proven to be able to handle large data include K-NN, Naïve Bayes, and Decission Tree. This study compares the three algorithms to classify early stage diabetes risk prediction dataset. From the research results, the decision tree is the best algorithm for classifying diabetes datasets with an accuracy rate of 95.96%. Next is the KNN algorithm with an accuracy rate of 92.5%. Meanwhile, naïve Bayes only produces an accuracy rate of 86.92%. From this comparison it is known that the decision tree is the best algorithm for classifying the early stage diabetes risk prediction dataset with an accuracy rate of 95.96%.]]>
<![CDATA[Implementasi Algoritma Line Mapping Dengan Sensor Ultrasonik Pada Robot Pengantar Makanan Berbasis Mikrokontroler ]]>
<![CDATA[Nirwan Sinuhaji]]>;
<![CDATA[Dewi Yohana br Ginting]]>;
<![CDATA[Benar]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i5.281
<![CDATA[The development Of the world of robotics at thi time in the current era of industrial technology robotics technology is able to improve the quality and quantity of production in various factories so that naby new ideas emerge about robotics technology that are useful for human life. By utilizing robotic, especially in restaurants or restaurants, it can already be done restaurants or restaurants, it can already be done without using human hands, but it has been done with robotic technology. A line follower food delivery robot which is a type of moving robot using an ATMega16 microcontroller whose mission is to detect and follow a guide line that has been made on the track field. In the research algorithm used line mapping. This robot still uses a permanent arm, and this robot cannot automatically pick up or place food at its destination]]>
<![CDATA[Sistem Pendukung Keputusan Untuk Menentukan Kelayakan Penerima Beasiswa Yayasan Dengan Metode AHP ]]>
<![CDATA[Dewi Yohana br Ginting]]>;
<![CDATA[Nirwan Sinuhaji]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i5.282
<![CDATA[STIT AL-Washliyah Binjai is one of the Technical Implementation Units of the Education Office located in Binjai. Scholarships must be awarded to deserving recipients and deserve to receive them. The selection process for those who are entitled to receive scholarships still experiences problems in the decision-making process. Because of the large number of students and the criteria determined to provide scholarship recipient decisions that are as expected. A decision support system using the Analytic Hierarchy Process (AHP) method provides convenience in assessing multiple criteria with a comprehensive framework for considering a hierarchical process. The purpose of this research is to design and create a decision support system (SPK) for the selection of scholarships and so that scholarships can be given appropriately to students who deserve to receive them. With the existence of research on the eligibility of scholarship recipients, it can make it easier for parties involved in determining who is entitled to get the scholarship, because in it various comparison stages have been carried out so as to produce results to determine students to get scholarships.]]>
<![CDATA[Implementasi Metode Multi-Objective Optimization On The Basis Of Ratio Analysis dalam Seleksi Mahasiswa Program Indonesia Pintar ]]>
<![CDATA[Abdul Karim]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i5.283
<![CDATA[The Smart Indonesia Program (PIP) is assistance in the form of cash, expanding access, and learning opportunities from the government which are given to students and students who come from poor or vulnerable families to finance education. This study uses decision support system techniques with the Multi-Objective Optimization method basically of Ratio Analysis (MOORA) which can help in determining a good ranking. Criteria for Rapot Score, Parents' Income, Achievement, Place of Residence, PKH Recipients, KKS Participants. The results of applying the MOORA method of selecting the Smart Indonesia Student Selection Program are types with a value of 0.191937493 in Alternanip A10]]>
<![CDATA[Optimalisasi Website untuk Monitoring Jaringan OPD di Dinas Kominfo Kota Medan dengan Metode Triangulasi ]]>
<![CDATA[Andi Zulherry]]>;
<![CDATA[Farid Akbar Siregar]]>;
<![CDATA[Zuli Agustina Gultom]]>;
<![CDATA[Elza Ahmad Raihan]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v3i5.284
<![CDATA[This study aims to optimize the use of a website as a tool for monitoring the network of Local Government Agencies (OPD) at the Department of Communication and Informatics (Kominfo) of Medan City using the triangulation method. The triangulation method involves the use of observation, interviews, and documentation to gain a more comprehensive understanding of the effectiveness of the website as a network monitoring tool. During the observation phase, the researcher conducted direct observations of user interactions with the monitoring website and understood the dynamics of its usage. Interviews with users and network administrators were conducted to gain direct insights into the strengths and challenges in using the website. Technical data and network performance reports were also obtained from existing documentation. The results of this study illustrate how the triangulation method can provide a deeper understanding of the effectiveness of the monitoring website. Observation revealed user interaction patterns with the website interface, interviews provided user perspectives on usability and desired improvements, and documentation provided technical context. The conclusion of this study is that the use of the triangulation method yields a more comprehensive understanding of issues and opportunities in optimizing the website for OPD network monitoring. It is expected that the results of this study will provide valuable guidance for the development and enhancement of more effective website features for monitoring OPD networks. This contributes to better and more responsive information technology infrastructure management in the local government setting.]]>
