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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 16 Documents
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Search results for , issue "Vol. 4 No. 1 (2023): December 2023" : 16 Documents clear
Penentuan Program Indonesia Pintar (PIP) Pada Siswa Kurang Mampu dengan Metode Preference Selection Index (PSI) Berbasis Web Nelly Khairani Daulay; Asep Toyib Hidayat; Shelfia Shepty
Bulletin of Computer Science Research Vol. 4 No. 1 (2023): December 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i1.296

Abstract

The Indonesia Smart Program (PIP) is a scholarship assistance provided to individuals with the aim of continuing their education as tuition assistance. This program is the government's idea to reduce the high number of children who drop out of school due to lack of funds. This high dropout rate will also later lead to a high crime rate because children who drop out of school cannot work properly. To determine whether or not students are eligible to receive the Indonesia Pintar Program, a decision support system (SPK) is needed that can provide input for schools to assess properly, which students really deserve the scholarship. By using the Preference Selection Index (PSI) method, it is hoped that this method will be able to select the best alternative from a number of alternatives based on criteria from predetermined aspects.  In the Preference Selection Index (PSI) method which is used as a measure of assessment is the value of alternatives, matrix normalization, average performance value, preference variation value, preference value deviation, criteria weight, calculate the final value, and determine the ranking that will determine the optimal alternative, namely students who are entitled to a scholarship.  The purpose of this research is to determine which students are eligible and not eligible to receive assistance from the government in the form of PIP. The results of this study are in the form of rankings with the highest value of 0.7686 and ranked first or rank 1 and the lowest value of 0.7091 is ranked 5th.
Prediksi Tingkat Produksi Bawang Goreng menggunakan Metode K-Means dan Fuzzy Inference System Wisudawaty, Priska
Bulletin of Computer Science Research Vol. 4 No. 1 (2023): December 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i1.297

Abstract

Shallots are a strategic commodity because they are needed for household consumption as well as the food industry. Shallots are usually used as a cooking spice, or as a topping for food dishes called fried onions. Shallots are easily damaged, one way to prevent damage is to process shallots into fried onions. Sales of fried onions fluctuate every month due to consumer demand, therefore in this research a grouping of production levels and predictions of fried onion production was carried out. The methods used in this research are K-Means and Fuzzy Sugeno. From the results of research using the K-Means method, there are 3 clusters of fried onion production levels, namely high, medium and small production levels. High production levels were found in months 4, 5, 9, and 10; moderate production levels in months 1, 2, 3, 6, 7, 8 and 11; while a small production level was found in the 12th month. Based on system testing using the fuzzy Sugeno method, data was generated that could be processed and produce 9 rules to serve as a reference in predicting fried onion production for the following years. Apart from that, based on the results of the Mean Absolute Percent Error calculation, the capability of the model created is good and accurate because it has a value of 14.2%. Fried onion production levels in the 4th and 12th months have more accurate predictions compared to other months
Prediksi Harga Saham pada Portofolio Investor dengan Analisis Time Series Harga Saham menggunakan ANN Wibiksana, Hendra
Bulletin of Computer Science Research Vol. 4 No. 1 (2023): December 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i1.298

Abstract

The Indonesian Stock Exchange (BEI) is a place for stock market trading in Indonesia. In general, this is represented by the Composite Stock Price Index (IHSG) value. IHSG itself is the combined value of all shares listed on the Stock Exchange. It doesn't matter whether the shares traded that day are up, down, flat (no change in value), not traded, or even suspended (prohibited from making transactions within a certain period of time). The stock data source used is the closing price of BNI, BCA and Mandiri shares for 15 years from 2008-2022 from the Indonesian Stock Exchange (via the Yahoo Finance site). Each stock data is trained and tested, to see how accurate it is using this method. The stock prices predicted by ANN are combined into a portfolio, this portfolio will show an increase or decrease. At the end of the process, the rate of change in stock prices from predicted losses to predicted profitable stock prices is calculated. The daily data accuracy of BNI, BCA and Mandiri is 97.6927%, 97.9754% and 97.6275% respectively. Weekly data accuracy is slightly smaller than daily accuracy. The accuracy of weekly data for BNI, BCA and Mandiri is 95.7673%, 97.1222% and 96.5592% respectively. Monthly data accuracy is slightly smaller than weekly accuracy. The accuracy of BNI, BCA and Mandiri monthly data is 90.4161%, 94.781% and 93.0619% respectively. If an investor focuses all his funds on buying just one share, he will get 3 times the portfolio profit from before. If the profit on BNI shares is 46.12%, then in terms of portfolio, the investor gets a profit of 46.12% x 3 = 138.36%. Compare this with the profit levels of the 3 banks, which if added up, the value becomes as follows: 46.12+54.42+56.01 = 156.55%. So there is an additional profit from the portfolio of 156.55% - 138.36% = 18.19%.
Penentuan Asosiation Rule Pada Penjualan Produk UMKM Tugu Mulyo Menggunakan Metode Apriori Wulandari, Cindi; Sunardi, Lukman; Syaifudin, Pebrian
Bulletin of Computer Science Research Vol. 4 No. 1 (2023): December 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i1.303

Abstract

Pondok Roti has many existing variants, ranging from chocolate bread, mocca bread, round bread, donut bread, coconut bread, strawberry bread and pineapple bread, green bean bread, birthday cake, burgers, hot dogs, pizza, so the bread that is produced must be right so that the bread can be sold out without any stale and moldy bread because it is not sold. The number of unsold breads will harm the business owner. Transactions that occur in a day are quite a lot in this bread business. Sales transactions are still recorded manually using excel, and existing data has not been managed properly to become new information that can help the management in bread production. The many types and flavors of bread make it easy for buyers to choose and buy the bread they want and like. Looking at existing transaction data, it can be seen that buyers prefer certain flavors. Knowledge Discovery in Databases (KDD) is used to explain how the process of extracting information hidden in the database. Knowledge Discovery in Databases (KDD) and data mining are related to each other. This research uses the apriori algorithm to get a rule base for purchasing products at Pondok Roti stores. The apriori algorithm will later be used to find the most frequent combination of an itemset. Research data will be simulated to get the best rule base using the Weka application. The results of the research are in the form of association rules on the sale of Tugu Mulyo MSME products.
Implementasi Sistem Penjadwalan Mata Kuliah Menggunakan Metode Algoritma Genetika Berbasis Web Toyib Hidayat, Asep; Hakim, Lukman; Rio; M.Afif Ravanza
Bulletin of Computer Science Research Vol. 4 No. 1 (2023): December 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i1.304

Abstract

The process of preparing the lecture schedule at Bina Insan University is still done semi-manually with the help of Microsoft Excel and takes days, even weeks, whereas making the schedule must be done optimally and quickly because the schedule will be used for lecture activities each semester, so that the scheduling process can be carried out effectively and efficiently, so we need an application that can simplify the scheduling process, namely a scheduling application and applying the right algorithm, one of the algorithms that can be used in scheduling applications is the Genetic Algorithm. Course scheduling is a process of allocating courses, lecturers, space and time by matching predetermined rules so that all these components can be fulfilled. Genetic Algorithms are search algorithms that are based on natural selection mechanisms and natural genetics. The results of the research are in the form of a schedule that is prepared automatically without any more clashes between times and classes to be used
Metode Spread Spectrum untuk Penyisipan Pesan pada Citra Digital Herri Setiawan; Bedy Briliant Wijaya; Dewi Sartika
Bulletin of Computer Science Research Vol. 4 No. 1 (2023): December 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i1.310

Abstract

Abstract The importance of the value of information in a message means that the message often does not reach the recipient, but instead falls into the hands of unwanted people. Various techniques are used to prevent access by unauthorized persons. One of the various techniques to protect this information is steganography, which is the hiding of a message inside another message to avoid suspicion that someone is trying to steal information. The initial stage of the insertion process is to perform a binary spread of the message characters with a scalar magnitude of 4 to produce a new segment followed by the generation of a random number (pseudonoise random number) using the steganography key and converted into binary form. Then proceed with modulation with XOR logic operation between the value of the binary segment and the line of random numbers that have been converted into binary to produce a new binary that will be inserted into the digital image object. The spread spectrum method produces quite good image quality after the insertion process, this can be proven by the PSNR test results which are more than 30 dB.
Penerapan Metode Fuzzy Tsukamoto dalam Penilaian Kinerja Karyawan di Perusahaan Air Minum Kabupaten OKU Joko Kuswanto; Benny Maulana; Ryan Vernando; Suhendra Berta
Bulletin of Computer Science Research Vol. 4 No. 1 (2023): December 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i1.312

Abstract

One effective way to encourage employee motivation is to provide recognition in the form of rewards that are in accordance with their performance. The assessment process to determine the best employees needs consideration and is certainly not easy because it must be in accordance with the criteria set by the company. Seeing these conditions, the need for the application of computerized systems that can be a solution to overcome complexity in decision making. One method in decision support systems is the fuzzy method. The method used in this study is Tsukamoto's fuzzy method. The employee appraisal process is carried out based on several criteria such as performance, discipline, and ability. From the calculation results, a Z value of 57.5 was obtained. The value is included in the category considered for reward. Based on the results of the assessment, it can be concluded that Tsukamoto's fuzzy method can be applied in employee performance appraisal.
Systematic Literature Review: Analisis Implementasi Manajemen Risiko TI Menggunakan Framework COBIT di Sektor Industri Jasa Nisa', Fathimatus Zahrotun; Febrianti, Ganes Dwi; Ajrina, Navy Nurlyn
Bulletin of Computer Science Research Vol. 4 No. 1 (2023): December 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i1.313

Abstract

The use of Information Technology (IT) is an important part of all business activities, especially in the service sector. It is important to ensure the security, availability and integrity of their systems. The impact of failure in IT Risk Management greatly influences success. The implementation of IT Risk Management is needed to be able to help companies in the event of losses. In its use, a framework is needed that functions to identify, evaluate and manage existing risks. Therefore, this research will show the COBIT framework that is suitable for managing existing risk management. This research was carried out using the Systematic Literature Review method which started from the stages of formulating research questions, literature search, literature selection, data extraction and discussion aimed at answering Research Questions. In this research, 25 articles were found which were used as literature sources. The research results show that COBIT 2019 is the version of COBIT most often used in IT Risk Management in the industrial service sectors. In implementing COBIT, companies face various challenges such as lack of in-depth understanding of COBIT, lack of work process documentation and lack of operational standards for risk control and incompatibility of IT strategy with company strategy. This research also found that there are 8 points of COBIT implementation strategy to help service industry companies achieve organizational goals more effectively and efficiently through IT risk management.
Penilaian Penggunaan Framework COBIT 2019 dalam Pengelolaan Teknologi Informasi Pada Institusi Perguruan Tinggi Anadya Tafdhilla; Hasna Iftinan, Jihan; Azzahra Rahmadani; Anita Wulansari
Bulletin of Computer Science Research Vol. 4 No. 1 (2023): December 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i1.314

Abstract

Information Technology Governance plays a very important role in managing all company needs. Especially in the world of education, technology plays a very important role in carrying out the vision and mission of all educational service needs. However, there are many problems experienced and the order of infrastructure and how to manage it that is not maximized so that it makes the order not run well. Because this can lead to various problems from the course of the education service process. Therefore, a framework such as COBIT 2019 is needed which has become the main guideline in improving the effectiveness and efficiency of information technology management in various organizations, including universities. This journal aims to assess COBIT 2019 framework users at various higher education institutions to determine the level of capability and gaps that generally occur. Through a Systematic Literature (SLR) approach, the journal details a number of significant findings, including an in-depth understanding of how COBIT 2019 is adopted and implemented in higher education settings. With Research Question (RQ) i.e. RQ1 Which domains in IT Governance are the main focus for most colleges and high schools implementing the COBIT 2019 framework, RQ2 What are the capability levels and advice provided in most higher education institutions implementing the COBIT 2019 framework. The results of this study found 13 articles that met the inclusion criteria, after identifying titles, abstracts, and conclusions from 48 articles that fell into the exclusion criteria. From the screening of these journals, the results show that the main focus of universities and colleges in implementing the COBIT 2019 framework is on the DSS05 domain. In many higher education institutions that implement the COBIT 2019 framework, the level of capability tends to depend on a strong understanding of best practices in managing IT operations, because there are many universities that have not been able to achieve the desired capability targets. As such, these institutions are required to continuously improve their capabilities in the face of dynamic IT environment changes and strengthen efforts to maintain the resilience of their operational systems.
Sistem Pendeteksi Debit Penampungan Air Berbasis IoT Menggunakan NodeMCU Muhammad Habib; Supiyandi
Bulletin of Computer Science Research Vol. 4 No. 1 (2023): December 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i1.316

Abstract

IoT-based reservoir water storage system using NodeMCU. This system can monitor and send information about water levels in real-time via the internet. The method used is to detect the water level in the reservoir using an ultrasonic sensor and control the water level using a relay. This system can help reduce economic losses caused by not being able to detect accurately by buoys which can cause an overflow of water in the reservoir. The method used in this research is the prototype method with stages of needs analysis, system design, implementation and evaluation. An IoT-based reservoir water storage system using NodeMCU ESP8266, relays, and ultrasonic sensors connected to the internet via Wi-Fi and controlled using the Blynk application on a smartphone. The aim of this research is that the system can provide notifications to users if the water level in the tank has reached certain limits, such as low, medium and full water conditions. As a result of this research, an IoT-based reservoir water storage system has been successfully developed using NodeMCU, relays, ultrasonic sensors, and the Blynk application which can monitor and send information about water levels in real-time via the internet.

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