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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
Sistem Pendukung Keputusan Dengan Menerapkan Metode Multi-Attribute Utility Theory Pada Pemilihan Content Writer 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.v4i2.2877

Abstract

Content Writer is an important profession in the process of creating interesting content. The definition of Content Writer is a professional writer whose job is to write concepts of interesting content which will eventually be produced in online media. The income that is large enough for this profession results in many people being interested in working in that field. Therefore it will be difficult for those who open jobs in the field of Content Writers to choose who should be chosen. To select Content Writer candidates, it is better to use a system so that with this system it can help interested parties so that the results of the selection are not subjective or impartial. A good system to use is a decision support system. decision support system (DSS) is the development of an information system using the same way of working as an information system, namely a computer-based system. This SPK can be used in conjunction with supporting methods such as the MOORA method, the PSI method and so on. In this study the method used is the DEATH method. The MAUT method or the Multi-Attribute Utility Theory (MAUT) method is a method that prioritizes quality as a comparison so that the quality of each criterion will be considered as the first choice. Based on the calculation results from the MAUT method, a result of 0.6701 is obtained with the alternative A3 On behalf of Aldi as the best alternative that deserves to be accepted as a content writer.
Penerapan Metode TOPSIS Dalam Sistem Pendukung Keputusan Kelayakan Penerima Pinjaman Kredit Agus Iskandar
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.v4i2.2879

Abstract

In determining the eligibility of loan recipients at Finance companies, it is carried out with the approval of the Head Office, then the stage of checking customer data is carried out with the approval of the office manager. Furthermore, in analyzing the decision-making eligibility of customers receiving credit loans, using a manual system that takes a long time, therefore, a decision support system is needed that functions to minimize excess or lack of data. In this study, it will be explained how the process of determining alternative credit recipient customers applies the TOPSIS method. The research results will produce the highest ranking value which will be determined as the highest alternative. The data used in this study are 10 alternative data samples using 5 criteria, so that the results of calculations that have been carried out using 8 alternatives and 5 criteria produce the best alternative, namely alternative A2 above with a value of 0.848 as a recommendation for a customer who will be entitled to receive a loan from finance company.
Kombinasi Metode Certainty Factor dan Fuzzy Tsukamoto dalam Pradiagnosa Penyakit Gagal Ginjal Kronis Rudi Adityawan; Agung Triayudi; Endah Tri Esti Handayani
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.v4i2.2911

Abstract

Expert systems aim to combine human knowledge with systems, that is, so that computers can solve problems in the same way that experts usually do. Expert systems can also be used in diagnosing disease to determine the type of disease suffered as an initial diagnosis based on the symptoms to be followed up. In this study, the method used to develop an expert system for chronic kidney failure was using the Fuzzy Tsukamoto and Certainty Factor methods. The data search process starts from the symptoms experienced by the user and lab results of anemia, creatinine and eGFR then the final results obtained from this study are an Expert System Application for pre-diagnosing Kidney Disease with the Tsukamoto Method and Certainty Factor. The results obtained from this study, namely the certainty factor method obtained a patient's disease confidence level of 99.48% where according to these results according to experts and with the Fuzzy Tsukamoto method the results obtained for the stage of chronic kidney failure were 73.9 where these results were included in the VV High Risk category.
Diagnosa Gejala Kecanduan Bermain Game Online dengan Metode Fuzzy Tsukamoto dan Fuzzy Sugeno Rivaldi Okta Pratama; 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.v4i2.3002

Abstract

In this increasingly developing era, online games are a type of game that can provide its own pleasure for its users. Because of that, many people play online games continuously until they forget the time, it can even become addictive. Not many people have the opportunity and willingness to consult an expert to overcome their addiction. Therefore, an expert system is needed to diagnose online game addiction symptoms. With this research, an expert system was produced to diagnose symptoms of addiction to playing online games, which makes it easy to use. This expert system produces output in the form of a diagnosis whether a person is addicted to playing online games or not. Tsukamoto's fuzzy logic method is one method for a good problem solving control system to implement. The Sugeno fuzzy logic used in the expert system in this study functions to seek and find solutions to symptoms of addiction to playing online games. The results of this study can compare the Sugeno fuzzy with the Tsukamoto fuzzy to find the intended value or success by comparing the two fuzzy to find the highest value in this study. The results of this study obtained an accuracy value of 100% from 100 sample data.
Sistem Pendukung Keputusan Untuk Menentukan Kelayakan Pemberian Bantuan Usaha Mikro dengan Menggunakan Metode SAW dan SMART Dandi Putra; Agung Triayudi; Agus Iskandar
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.v4i2.3003

Abstract

The purpose of this business capital assistance program is to help people develop businesses that were previously affected by the Covid-19 pandemic which caused small businesses such as street vendors and home businesses to experience a decrease in income. This program aims to help small and medium enterprises (MSMEs). Potential beneficiaries are currently still selected through meetings held by village heads, which require a longer decision-making process.Therefore it is very important to create a new system that can be used to assist those who are eligible to receive targeted funds. In this study, a decision support system application was made to make it easier for village heads to determine candidates who are entitled to receive assistance according to the criteria. A decision support system is a solution that can be used to find out the results of the selection of MSME beneficiaries using the SAW and SMART methods. The SAW and SMART methods use 10 alternative data to provide an assessment of the final result by ranking from the highest to the lowest alternative value, showing that the two methods produce data that is accurate and suitable when applied as a ranking. The calculation results generated by the system that has been tested with the results of manual calculations, both show the same results.
Sistem Pendukung Keputusan Seleksi Pendidikan dan Pengembangan Pegawai Negeri dengan Metode AHP dan SAW Fadhil Muhammad Supriyanto; Agung Triayudi; Ira Diana Sholihati
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.v4i2.3015

Abstract

Education in Staff Operation of Indonesian National Police is an important element that aims to improve the quality of personnel. Staff Operation of Indonesian National Police (Sops Polri) is an unit in the National Police of Indonesian Headquarters. Education and development is carried out by the Staff Human Resources of Indonesian National Police (SSDM Polri) by gathering personnel data from various units. At first Sops Polri has to select its personnel so that the selected personnel is the best. But the process of selection in Sops Polri still done manually and the chances of errors are very large. So the development of decision support system using AHP and SAW methods can help the process of selection in Sops Polri. After decision support system was developed then it was tested by using the System Usability Scale (SUS) method with a result of 80.25 which can be interpreted as acceptable.
Komparasi Metode Weighted Product (WP) Dan Simple Additive Weighting (SAW) Pada Sistem Pendukung Keputusan Dalam Menentukan Pembangunan Infrastruktur Desa Yandi Makmur; 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.v4i2.3016

Abstract

Government initiatives to give villages more power include village development. In accordance with local village government policies, there are specific criteria for allocating village infrastructure development funds. The goal is for village infrastructure development to be more equitable and directed. Priorities for developing village infrastructure must be decided. Decisions on village infrastructure development are still made by voting, and often more significant developments have to be postponed due to a vote loss. To determine priorities for village infrastructure development, village officials can use a decision support system (Decision Support System). Village infrastructure development priorities are determined using the Simple Additive Weight (SAW) and Product Weight (WP) methodologies. Each proposal will be assessed according to the criteria selected by the village to set development priorities. It is hoped that by creating a decision support system it will be easier, more accurate and faster to determine development priorities in the village of Rawa Panjang when using the SAW and WP methodologies to prioritize village infrastructure development. Results Based on the research, it is recommended to use the WP method to determine the ranking, because the level of suitability of data in the field is higher than SAW which was found to be 99.87 WP and SAW was determined to be 99.27%
Diagnosa Kecanduan Gadget Pada Anak Usia Dini dengan Metode Fuzzy Sugeno dan Fuzzy Mamdani Rama Setiawan; 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.v4i2.3018

Abstract

The Tsukamoto fuzzy logic method is one method for problem solving control systems, which is good to implement with a system method that will use human knowledge that can be entered into the system on a computer to find and solve problems that usually require expertise or expertise. looking for a truth. The purpose of this study is to analyze and find methods that can be used in diagnosing gadget addiction in early childhood, and to compare two fuzzy methods that will be used as methods to diagnose gadget addiction in early childhood. The methods used in this study are expert system methods, namely fuzzy sugeno and fuzzy mamdani. The results showed that many children experience addiction to gadgets with a susceptibility to 1-4 hours of use time in one day. The level of addiction in boys is somewhat higher than in girls, the large number of children who are addicted to gadgets at a very early age to recognize and experience addiction to gadgets is the author's main goal to make this thesis if it can be used to monitor the level of gadget addiction in early childhood, research on the contribution of the method of applying the method the fuzzy sugeno and fuzzy mamdani algorithms in diagnosing gadget addiction in early childhood and the contribution to this method is the application of the fuzzy mamdani method and the fuzzy sugeno method to the fuzzy algorithm and the problem of this research is to determine the results of defuzzification of the data that has been obtained.
Analisis Perilaku Wisatawan Berdasarkan Data Ulasan di Website Tripadvisor Menggunakan CRISP-DM: Wisata Minat Khusus Pendakian Gunung Rinjani dan Gunung Bromo 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.v4i2.3042

Abstract

Traveller behavior needs to be comprehensively identified and analyzed to determine changes in tourism preference in Indonesia. One relevant approach to identifying traveler behavior is sentiment analysis through review data on the Tripadvisor website by text mining approach. This study aims to recommend a sentiment analysis model that is useful for managers of particular interest climbing tourist destinations on Mount Rinjani and Mount Bromo based on the type of visit alone (solo), with couples (couple), with friends, and with family (family). The research method used is Cross Industry Standard Process for Data Mining (CRISP-DM), with an algorithm adapted to managing tourist destinations for Mount Rinjani and Mount Bromo, namely attractions, roads and modes of transportation (accessibility), and accommodation. To overcome the problem of data balance in datasets, the calculation process of the Decision Tree (DT) algorithm and the Support Vector Machine (SVM) is connected to the Synthetic Minority Over-sampling Technique (SMOTE) operator in the Rapidminer application. The results of this study showed that the SVM algorithm showed better performance with an accuracy value of 97.67%, precision of 100%, recall of 95.34, and f-measure of 97.61% in the classification of 1075 text data of Mount Bromo and 326 review data of Mount Rinjani. In addition, in the context of Mount Rinjani, the top five words that often appear in tourist review data on Mount Rinjani are as follows: summit (272), Rinjani (259), trek (201), hike (170), mountain (159). On the other hand, the top five words that often appear in tourist review data on Mount Bromo are as follows: Bromo (1864), sunrise (1124), view (854), crater (758), and mount (577). Thus, it can be seen that tourists with the type of visit alone (solo), with couples (couple), with friends (friends), and with family (family) have a preference for the types of attractions in the form of summits, craters, natural beauty of mountains, hiking trails, types of transportation modes as well as supporting accommodation that needs to be prepared to keep the sustainability of tourism.
2024 Presidential Election Sentiment Analysis in News Media Using Support Vector Machine Bayu Muhammad Iqbal; Kemas Muslim Lhaksmana; Erwin Budi Setiawan
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.v4i2.3051

Abstract

The 2024 presidential election is an event for all Indonesian people to determine their best leader. The presidential and vice presidential candidates are also competing to give their best efforts so that they can be elected as President and Vice President. The news media also provide news related to the 2024 presidential election with various titles that can interest their readers. Not infrequently the titles raised contain words that have sentiments, both positive and negative. In order to facilitate the analysis of the sentiments of these news titles, it is necessary to build a system that can detect the sentiments of these titles. In this study, we built a sentiment analysis system using the Support Vector Machine (SVM) method on news headline data obtained from online news media to detect whether news headlines contain positive or negative sentiments. For feature exctraction we compare the effect of FastText word embedding with TF-IDF for feature extraction. In the SVM method, several experiments were carried out on the attributes of C, kernel, gamma, and the ratio of the test data. The results obtained are a FastText can outperform TF-IDF for feature extraction. Also, combination of Kernel, C, and gamma values that give the best accuracy score of rbf, 1, and auto respectively at a test data ratio of 90:10, with an accuracy score of 99%.

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