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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 291 Documents
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Sistem Monitoring dan Kontrol Taman Pintar Berbasis IoT (Internet of Things) dengan NodeMCU ESP8266 Syahrul Gunawan; Abdul Halim Anshor; Amali Amali
Bulletin of Computer Science Research Vol. 3 No. 4 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i4.270

Abstract

Parks are recreational areas that are often visited by people to relax and unwind. However, sometimes parks are not well-maintained and become less attractive to visitors. The lack of park maintenance is often due to a shortage of human resources and inefficiencies in monitoring park conditions. Therefore, this research aims to address this issue by developing a Internet of things-based Smart Park monitoring and control system using NodeMCU ESP8266. This system allows park managers to monitor and control park conditions in realtime from a distance using parameters such as soil moisture, air humidity, temperature, and watering. This research uses a prototype method with stages of requirement analysis, system design, implementation, and evaluation. The Smart Park system was successfully implemented using NodeMCU ESP8266 and integrated with a telegram bot as a means of remote monitoring and control. This telegram bot allows park managers to check park environmental parameters. The integration of the Smart Park system with telegram bot has been proven effective in increasing park maintenance efficiency. The results of the study show that park managers can monitor park conditions more easily, thus reducing the burden on park managers.
Perancanagan Sistem Informasi Perpustakaan dengan Internet of Things (IoT) Menggunakan Perangkat Radio Frekwensi Identification Berbasis Nodel Mcu Pada SMKN UC Mariance; Irwan; Muhammad Arief; Salman Nasution
Bulletin of Computer Science Research Vol. 3 No. 4 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i4.245

Abstract

This research is a software research and development (software research and development) which aims to find out the results of the development of the Internet Of Thinking at SMK Negeri 9 Medan. Data was collected using interviews, questionnaires, measurements and documentation. Data were analyzed using descriptive statistical analysis techniques. The results of the research produce an e-library application that is used in library processing by utilizing the Internet of Think (IOT). The test results show very good results based on 5 aspects of ISO 25010 characteristics, namely: functional suitability in the good category, usability with the test results in the very decent category, portability with the test results running well on nine different types of Android, performance efficiency with good test results, and compatibility with test results can run well when run concurrently with other applications.
Penerapanan Internet 0f Things (IoT) Dalam Membangun Sistem Aplikasi Kendali Rumah Kos Menggunakan Aplikasi Android UC Mariance; Irwan; Muhammad Aqsal Raihan Lubis
Bulletin of Computer Science Research Vol. 3 No. 4 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i4.246

Abstract

Internet of Things (IoT) devices are now starting to be widely used, one of which is IoT Monitoring. The use of electricity by boarding house tenants is often negligent, they feel they have paid the boarding fee and are wasting electricity even though it is not used, for example, the lights in a boarding room where there are no people inside. Likewise with the bathroom if the water tub is full, often the occupants of the boarding house are indifferent to water. The use of ACS712 and ZMPT101B sensors to see the electricity usage of each boarding room. Boarding room security is strengthened by the use of RFID modules and PPIR sensors. Electrical tools and Solenoid Door Lock can be controlled via an android application. The accuracy of the sensor reading electricity usage is still below normal limits, namely 0.11% -0.74% for volts, and 0.72% -3.84% for current. In sending orders from the android application there is a delay in the response of the device due to factors that cannot be calculated, namely internet connection
Aplikasi Pembeda Daging Sapi dan Babi dengan Metode Color Moment dan Local Binary Pattern Histogram Edi; Octara Pribadi
Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i5.260

Abstract

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%.
Perancangan Prototipe Rain Drop Sensor Berbasis Arduino Uno Hendry; Chairul Rizal; Supiyandi
Bulletin of Computer Science Research Vol. 3 No. 4 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i4.264

Abstract

In Indonesia, the climate is mostly hot and humid, and most of the rainfall occurs. As a result, people are less aware of how much rain occurs inside rooms, homes, and offices. We need a warning to explain the problem so that we can take the necessary action when it rains. By creating Arduino-based rain sensors and implementing the fourth industrial revolution in everyday life, the study aims to raise awareness of rain unknowingly. The initial method is the implementation of the Raindrop Sensor based arduino which is an Arduino standard board based on the ATmega328P microcontroller. The Rain Drop Sensor Module works when it rains, when the electric vibration buzzer rains into sound vibration, then the buzzer will provide sound information. The research results of the sensor value of more than 500 with the green light indicator lighting the Buzzer does not emit noise then the conditions are not rainy or can be meant the weather is medium bright, then the sensor value is less than 500 by the indicator Buzzer on then emits the sound and the red lighting indicator color lighting, then indicates the rain condition.
Sistem Pengembangan Chatbot Whatsapp Untuk Monitoring Hasil Pembelajaran Siswa Sekolah Menngah Kejuruan Zihan Abidin; Muhtajuddin Danny; Asep Muhidin
Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i5.272

Abstract

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.
Analisis Performansi Jaringan 4G Telkomsel Menggunakan Metode Drive Test Muhammad Harun Ashar; Dinda
Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i5.273

Abstract

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).
Optimasi Antena Mikrostrip 915 MHz Substrat Jeans Patch Slot Persegi Menggunakan CST Studio M. Iqbal; Sopian Soim; Martinus Mujur Rose
Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i5.278

Abstract

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.
Pembuatan Mobile Learning untuk Ibu Mengenali dan Mengatasi Permasalahan Anak Usia Dini Sulit Makan Menggunakan Metode Waterfall Rian Farta Wijaya
Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i5.279

Abstract

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.
Komparasi Algoritma Data Mining untuk Klasifikasi Penyakit Diabetes Ivandari; Much. Rifqi Maulana; Muhammad Faizal Kurniawan; M. Adib Al Karomi
Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i5.280

Abstract

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%.

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