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Journal of Computer System and Informatics (JoSYC)
Published by Forum Kerjasama Pendidikan TInggi
ISSN : 27147150     EISSN : 27148912     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering
Journal of Computer System and Informatics (JoSYC) covers the whole spectrum of Artificial Inteligent, Computer System, Informatics Technique which includes, but is not limited to: Soft Computing, Distributed Intelligent Systems, Database Management and Information Retrieval, Evolutionary computation and DNA/cellular/molecular computing, Fault detection, 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, Multimedia and Applications, Networked Control Systems, Natural Language Processing Pattern Classification, Speech recognition and synthesis, Robotic Intelligence, Robustness Analysis, Social Intelligence, Ubiquitous, Grid and high performance computing, Virtual Reality in Engineering Applications Web and mobile Intelligence, Big Data
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 21 Documents
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Search results for , issue "Vol 4 No 2 (2023): Februari 2023" : 21 Documents clear
Optimizing LQ45 Stock Portfolio To Maximize Sharpe Ratio Value Using LSTM Tasya Salsabila; Deni Saepudin; Aniq Atiqi Rohmawati
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.3065

Abstract

Investment is an investment activity within a certain period with the hope of getting a profit. Things that need to be considered by investors when investing are not just yields (return), but investors need to consider the purpose of the investment and the investment period. This study optimizes the formation of portfolios by utilizing the predicted value of stock prices using LSTM. The test used five daily stock indices from LQ45, namely BBCA, BBRI, TLKM, UNVR, and BMIR, from April 2010 – April 2020. The portfolio was built using the Genetic Algorithm and Equal-Weight (EW) method. Portfolio of Genetic Algorithm and Equal-Weight (EW) without predictions used as a benchmark. The experimental results show that using the LSTM prediction and Genetic Algorithm can produce an optimal portfolio with the highest Sharpe ratio value at 1.3950.
Sistem Pendukung Keputusan dalam Mendiagnosa Gejala TBC dengan Metode WASPAS dan CPI Akhmad Primulyana; Agung Triayudi; Arie Gunawan
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.3068

Abstract

Mycobacterium bacteria is the cause of tuberculosis, an infectious disease that attacks the respiratory tract in humans and can easily spread through the air. In 2012, WHO data showed that tuberculosis is an infectious disease that causes the second largest health problem in the world. Tuberculosis is a disease that can attack other parts of the body as well as the lungs. The sooner a person finds out he has tuberculosis and gets tested, the more likely he will recover faster. There are many detection methods, but many are time consuming. A decision support system is needed using the WASPAS method and the CPI method which are capable of diagnosing tuberculosis. To overcome this problem. By forming a decision tree represented by rules, this decision support system implements Rank Order Centroids, one of the classification techniques in machine learning used in the data mining process. This study produces a system that is expected to make it easier for the general public to obtain timely and accurate information for diagnosing tuberculosis. A decision support system for diagnosing tuberculosis was developed as a result of this study. After being tested with 100 patient data, 50 as training data and 50 as testing data, the Confusion Matrix produces an accuracy value of 90%.
Perbandingan Metode Fuzzy Tsukamoto dengan Fuzzy Mamdani Untuk Mendeteksi Tingkat Kecanduan Media Sosial Pada Remaja Ariel Cahyono; Agung Triayudi; Rima Tamara Aldisa
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.3069

Abstract

The level of social media use in Indonesia has increased every year. This is caused by several factors, one of which is the tendency to play social media so that you forget the time to do other activities such as studying. A system is needed that is able to detect whether someone is addicted to social media or not. The Tsukamoto fuzzy method is a method that can solve a problem by using a system on a computer in search of a truth and usually requires some expertise. While the fuzzy mamdani method has a function in finding a solution in solving the problem of social media addiction in today's youth. This comparison is done by the author to find the best answer from one of the methods used. This research was created in order to be able to detect the level of social media addiction in adolescents in the form of a web to inform adolescents to avoid the negative symptoms of social media addiction such as timelessness, lazy learning and being unable to stop oneself from controlling social media use. Then after testing with 25 adolescent data, the results obtained were 10 adolescents experiencing social media addiction problems and 15 adolescents not. It can be seen that the Tsukamoto method has a very addictive score of 0 to 20 for 10 teenagers and 15 teenagers with a non-addiction score of 80 to 100. Meanwhile, it is known that the Mamdani method has a very addictive score of 0 to 10 for 10 teenagers and 15 teenagers with a non-addicted score of 40 to 50.
Comparative Analysis of Max-Throughput and Proportional Fair Scheduling Algorithms in 5G Networks St. Nur Hikmah Damayanti; Siti Amatullah Karimah; Setyorini Setyorini
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.3073

Abstract

Mobile network service use is growing, especially after the Covid-19 pandemic. To improve the quality of mobile network services, 5G comes as a network service ecosystem with low latency, which is 1ms, or about 10 times lower than 4G, making 5G able to provide more efficient access, especially in real-time network utilization. Maximum speed can be obtained by sharing limited bandwidth. The limited amount of available bandwidth causes the need for a Packet Scheduler, which aims to improve the efficiency and fairness of bandwidth usage. This research uses two packet schedulers comparing the Proportional Fair algorithm and the Max-Throughput algorithm using test scenarios for changes in the number of users and user speed. The resulting output value analyzes resource limits such as frequency, power, speed, and time in each scenario to allocate resources so that their use remains efficient with a Quality of Service that remains stable and maintained. In simulation testing using the 5G-air-simulator, the average value obtained in the delay is 1,394 ms, throughput is 0,636, and fairness index is 0,967.
Penerapan Metode WASPAS dalam Pemilihan Handphone Gaming Terbaik Sitti Nur Alam; Hendrikus Haipon; Septiana Ningtyas; Saludin Saludin; Kraugusteeliana Kraugusteeliana
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.3087

Abstract

The technology that people are most interested in is mobile phones. Apart from being a tool for exchanging information and as a means of communication, mobile phones are also used as entertainment tools such as playing games. The large number of HP brands confuses potential buyers in determining which HP brand is good. To help the public in choosing the best HP Gaming brand, this can be done by using the SPK. SPK is a system where the procedure for working is to use a computer working procedure. In using SPK, must use the method. In this study the method used was the WASPAS method. The WASPAS method is a method that uses 2 steps, where the first step is to calculate normalization by carrying out the division operation. By implementing the WASPAS method, a value of 2.9710 is obtained as an alternative to A2 as the best HP Gaming brand with the Infix Zero 20 brand.
Analisis Sentimen Wisatawan terhadap Taman Nasional Bunaken dan Top 10 Hotel Rekomendasi Tripadvisor Menggunakan Algoritma SVM dan DT berbasis CRISP-DM Yerik Afrianto Singgalen
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.3092

Abstract

It is necessary to analyze traveler sentiment towards Bunaken National Park and Tripadvisor's Top 10 Recommended Hotels to identify traveler satisfaction with the attractions, accommodation services, and transportation used. Considering this, this study uses the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework by testing the performance of the Decision Tree (DT) algorithm and the Support Vector Machine (SVM). CRISP-DM has six stages: business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Based on the processing of 398 Bunaken National Park destination data and 1793 review data on the top 10 hotels recommended by Tripadvisor, the SVM algorithm performed better. In the context of Bunaken National Park destination data, the performance of the SVM algorithm using the SMOTE operator can produce 100% accuracy, precision, recall, f-measure, AUC, and t-Test values. In addition, in processing the top 10 hotel datasets recommended by Tripadvisor, the SVM algorithm using the SMOTE operator provides an accuracy value of 96.42%, a precision value of 100%, a recall value of 92.83%, an f-measure value of 96.27%, an AUC value of 100%, and a t-Test value of 96.4%. The results of identifying the five words that most often appear in tourist reviews for Bunaken Marine Park tourist destinations are 164 words fish, 165 words island, 193-word dive, 230 diving, and 280 words Bunaken. This indicates the driving factor for tourist visits to Bunaken Marine Park is the beauty of underwater nature, including the diversity of marine animal species, the natural beauty of the archipelago, and diving activities. In addition, the results of identifying the five words that most often appear in traveler reviews for Tripadvisor's top 10 recommended hotels are 1170 great words, 1222 bunaken words, 1550 resort words, 1613 diving words, and 1711 dive words. This indicates that the characteristics of tourists who have the motive of traveling to Bunaken National Tourism Park have the intention to use resort accommodations around Bunaken and have mobility and facilities to support diving activities. Thus, the output of this study can be used as a recommendation for accommodation service managers to prepare supporting facilities for tourists who want to visit Bunaken National Park.
Sistem Pendukung Keputusan Untuk Menentuan Desa Paling Maju dengan Menggunakan Metode MOORA Rifqi Naufal Fajrul Mubaroq; Evita Dwi Prasanti; Yuni Novita Br. Sihaloho; Edoardus Dwijo Wijayanto; Akhmad Fauzi
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.3130

Abstract

Decision Support System (DSS) is an approach to support decision making using data, provides an easy interface, and can incorporate the thinking of decision makers. In this study, we take a case study that can be solved by using a decision support system, where the problem faced by the Government of the Sub-District of Sumbang is how to determine the most advanced village in the District of Sumbang, because to do a selection one must use the manual method and the assessment process takes a long time to get. results. Therefore, a decision support system is made that can assist the assessment process and where the decision support system is carried out using the moora method. Based on the results of calculations regarding research in determining the most advanced village in the Contributing Regency is the Contributing Village with a value of 0.3758. Where the village has very good road conditions and the facilities available in the village are also very good compared to other villages.
Pemilihan Penilaian Karyawan Menggunakan Metode Hybrid ROC-MOORA Sitti Nur Alam; Fauzi Fauzi; Firman Santoso; Saludin Saludin; Monanda Rio Meta
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.3133

Abstract

Apprentices are employees who work within the context of a real learning process in the workplace to hone skills and self-quality in achieving maturity in learning science in the world of education, apprentices are also commonly referred to as temporary employees who have a short period of time permitting work in a company , it is not uncommon for a company to appoint an apprentice immediately to become a permanent worker because it is considered capable of minimizing the time in the process of selecting new employees needed to fill employee positions required by a company, several companies also collaborate a lot with a university to accept participants educate them to be able to work in the company they want. In determining an apprentice to become a permanent employee of the company, of course, careful assessment and consideration is needed as is done in other employee selection processes, to eliminate subjective and unfair selection and to improve the quality of the company's assessment of target apprentices who will be appointed as permanent employees. need to build a decision-making system. This is widely applied by other leading companies. In this research, the application of a decision support system was carried out in determining the apprentice's assessment to be selected as a permanent employee of a company using the combination method by applying the weight of the data assessment using the ROC method and the MOORA method ranking method, the results obtained were 0.365 the highest point from the acquisition of the value obtained out of 10 apprentices, the highest score is data recommended by the system as interns who have the best potential to become permanent employees of the company.
Penerapan Metode Certainty Factor Dalam Mendiagnosa Penyakit PES Rima Tamara Aldisa
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.3139

Abstract

Plague is the oldest plague known to mankind and will continue to plague the world. Black Death is an infectious disease caused by the bite of Yersinia pestis, which breeds on rats. Human-to-human transmission occurs through droplets containing bubonic plague. Expert systems are a branch of artificial intelligence and a branch of knowledge that emerged with the development of computer science today. In this study, the expert system was implemented as a system for information or output to pursue certainty in diagnosing the type of bubonic plague felt by the patient based on the symptoms felt by the patient. Its use on the user's system must be combined with methods so that it runs correctly and optimally. In this study, the authors used the certainty factor (CF) method. CF is the internalization of uncertainty in professional thinking proposed by Shortliffe and Buchanan in 1975. Based on the results of the computational process using the CF method, information is generated that the patient suffers from multiple symptoms of bubonic plague, and the patient is diagnosed with pneumonic plague (P3) with an expression confidence level of 0.993 or 9.93%.
Protoype Sistem Penyiram Lahan Perkebunan Kangkung Otomatis Berbasis Internet of Things dengan Logika Fuzzy Sugeno Ismail Mahfuddin; Rakmat Kurniawan R; Aidil Halim Lubis
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.2668

Abstract

Watering is one of the jobs that are routinely carried out in plant maintenance which usually causes various problems. One of them is the absence of the same measure of water quantity when watering will result in the plants being treated can experience excess or lack of water, causing the plants to dry out or rot and die. So we need a tool that can help in terms of watering plants. The internet of things-based automatic watering machine for water spinach plantations is expected to be a system to assist farmers in watering especially kale that can detect moisture in the soil and temperature around the land and has scheduling options, automatic fuzzy and manual that can be controlled via the android application. which has been designed and can work based on the selected option. This tool is made using the Sugeno fuzzy logic method because this method is suitable for use in making decisions to find the values ​​of humidity and temperature that fluctuate and are less certain. Based on the results of the study, the average percentage difference in the humidity sensor is 0.016 % and the accuracy (accuracy) on the humidity sensor circuit is 99.98%, while the percentage difference in the temperature sensor is 0.02% and the accuracy (accuracy) on the LM35 temperature sensor circuit is 99.99%.

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