Journal of Computer Scine and Information Technology
Journal of Computer Science and Information Technology is a threetly journal published by Universitas Putra Indonesia YPTK, Padang. It publishes scientific and technical papers describing original research work or novel product/process development. The objectives are to promote exchange of information and knowledge in research work, new inventions/developments of Computer Science and on the use of Information Technology towards the structuring of an information-rich society and to assist the academic staff from local and foreign universities, business and industrial sectors, government departments and academic institutions on publishing research results and studies in Computer Science and Information Technology through a scholarly publication. This journal is useful to researchers, engineers, scientists, teachers, managers and students who are interested in keeping a track of original research and development work being carried out in the broad area of computer science. Subjects covered by this journal are: Algorithms, Artificial intelligence, Computer graphics, Compiler programming and languages, Computer vision, Data mining, High performance computing, Information technology, Internet computing, Multimedia, Networks, Network Security, Operating systems, Quantum learning systems, Pattern Recognition, Sensor networks, Soft computing.
Articles
102 Documents
<![CDATA[Evaluation of New Employee Selection using the Multi Factor Evaluation Process Method ]]>
<![CDATA[Marissa, Dian]]>;
<![CDATA[Enggari, Sofika]]>;
<![CDATA[Guswandi, Dodi]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 10 Issue 1 (2024): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v10i1.96
<![CDATA[The process of accepting and selecting prospective employees is the earliest process for a company to get quality employees that the company or agency needs. Companies must have criteria for the employees they want. On CV. Adtuil Photocopying in recruiting employees is still less efficient, namely prospective employees still send application files to the company or via expedition delivery. So HRD will have difficulty in selecting prospective employees because they have to record and double-check incoming application files as well as the process of determining the right criteria . Solutions used to overcome problems on CV. Adtuil uses a decision support system for selecting new employees, using the Multi Factor Evaluation Process (MFEP) method. This method is quantitative which uses a weighting system in decision making. Application design using the Vb programming language. Net and MySQL databases that can manage data quickly and accurately. The results of this research show that there were 3 employees who received 10 alternative data, namely A1, A5, A9 with scores > 75. After using this decision support system it can help CV. Adtuil Photocopy in determining employee acceptance precisely, quickly and accurately]]>
<![CDATA[Measurement of Health Information Systems Using the McCall Method ]]>
<![CDATA[Fikri, Dzaki Al]]>;
<![CDATA[Yuhandri]]>;
<![CDATA[Mardison]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 10 Issue 1 (2024): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v10i1.97
<![CDATA[In an era of technology that continues to develop rapidly, structured and detailed data management is becoming increasingly important. This allows decision makers at the Clinic to easily monitor, evaluate and plan business strategies. The information system measurement application on Klink Mitra Sadona is used to analyze the quality of the electronic registration information service system for patients. This registration system can help patients make it easier to register at the clinic. Based on this, the quality of the health information system will be measured because in this system the level of system quality is not yet known, so as to identify the accuracy, completeness and quality of the software at the clinic. The measurement method in this research uses the McCall Method. The McCall method is a method used to assess the quality of a system. The results of research based on the McCall Method show that the quality of information system measurements is very good with a percentage value of 94%, with the best indicator value, namely efficiency with a result of 72% and the integrity indicator value is the worst indicator with a result of 52%.]]>
<![CDATA[Shopping Cart Analysis to Support Business Management with the Apriori Algorithm ]]>
<![CDATA[Aini, Nurul]]>;
<![CDATA[man, Eka Praja Wiyata]]>;
<![CDATA[Afdhal, Muhammad]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 10 Issue 2 (2024): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v10i2.98
<![CDATA[The increasingly advanced development of the business world has led to increasingly fierce competition. One way to maintain the company's survival is to maintain good relationships with customers. Each market has its own way of increasing sales. Serambi Mart is one of the minimarkets operating in Batusangkar City. This minimarket is relatively new because it has been operating since 2020. Even though it is new, this minimarket is quite busy with consumers visiting for shopping, this is due to Serambi Mart management choosing the right location. Based on observations made, product layout arrangements are still based on subjective management, so there are several products that are not suitable to be compared. The layout seems messy, causing difficulties for consumers in shopping. By utilizing sales transaction data at Serambi Mart. This research uses the Apriori algorithm. The Apriori algorithm is an association rule and looks for relationship patterns between one or more items in data, using Association Rules with Minimum Support of 30% and Minimum Confidence of 50%. Therefore, an application is needed that can help Serambi Mart to get information. One way to get this information is to utilize data mining techniques. By using the Apriori Algorithm method for arranging the product layout at Serambi Mart, it is hoped that it can provide convenience to consumers who shop]]>
<![CDATA[Application of the FP-Growth Algorithm in Consumer Purchasing Pattern Analysis ]]>
<![CDATA[Putri, Indah Dwi]]>;
<![CDATA[Yuhandri]]>;
<![CDATA[Hardianto, Romi]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 10 Issue 2 (2024): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v10i2.99
<![CDATA[Technology is currently used in various ways, one of which is businesses engaged in selling daily products. The right marketing strategy makes knowledge of consumer shopping patterns important to study because consumers are the main actors in carrying out transactions. The more diverse the types of goods sold in a company, the more diverse the resulting consumer spending patterns will be. Data mining is an analysis process that is carried out automatically on complex and large amounts of data to obtain patterns or trends that are generally not realized. The FP-Growth algorithm is an alternative algorithm that can be used to determine the data set that appears most frequently (frequent itemset) in a data set. The method used in this research is the FP-Growth method which is implemented in the PHP programming language and MySQL as the database. Designing a data mining program using the FP-Growth method can analyze and manage consumer purchasing patterns based on goods purchased simultaneously. The data processed in this research is transaction data that has been processed into information so as to gain knowledge in calculating stock of goods sourced from the owner of Toko Asra. From testing this method, results were obtained from the 10 transactions in December 2021, by limiting the minimum support value to 0.2 and minimum confidence to 0.75, 33 patterns of consumer shopping habits were obtained, meaning that 33 products were most frequently purchased by consumers. Designing a data mining program using the FP-Growth method can help analyze consumer purchasing patterns based on items purchased simultaneously. The results of frequent itemset calculations can help find a sequence of combinations that can be used as product recommendations in business decision]]>
<![CDATA[Permanent Employee Assessment Decision Support System using the Simple Multi Attribute Rating Technique (SMART) Method ]]>
<![CDATA[Pratama, Ryan A]]>;
<![CDATA[Hardianto, Romi]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 10 Issue 2 (2024): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v10i2.100
<![CDATA[Every agency or organization must be able to select and determine competent employees to fill vacant positions so that the main duties of that position can be carried out. To obtain information quickly and accurately about the assessment of permanent employees in accordance with the expected criteria, a decision support system is needed. Objective decisions are usually fair because they are in accordance with the facts and supported by data to produce a decision/recommendation that can make things easier for agency or organization leaders. By using the Simple Multi Attribute Rating Technique (SMART) method, it is hoped that it can help in making decisions about evaluating permanent employees. The SMART method uses a multiattribute decision technique which is used to support decision makers in choosing between several alternatives. This research aims to assist the leadership of the West Sumatra Ministry of Religion in making decisions regarding permanent employee recommendations for employees. The method used in this research is qualitative. Based on the test results, a weighting system is produced that takes into account the assessment factors that exist in employees. The results of the assessments that have been carried out will immediately produce data on employees who have competencies worthy of being promoted to a better career level. In the research, 6 criteria were used, namely cooperation , work ability, work discipline, loyalty, responsibility and communication. With 5 alternative data, calculations were carried out using the SMART method, the result that got the highest score was Endang Mesfitra with a final result of 0.7425. With the research results, the application can help leaders in providing assessments and the results of these assessments produce objective decisions so that leaders can recommend employees according to the criteria]]>
<![CDATA[Application of an Expert System with the Breadth First Search (BFS) Method in Diagnosing Areca Plant Diseases ]]>
<![CDATA[Pane, Ferry Juliandri]]>;
<![CDATA[Rianti, Eva]]>;
<![CDATA[Marfalino, Hari]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 10 Issue 2 (2024): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v10i2.102
<![CDATA[Current technological developments are growing very quickly and have produced a lot of software or systems that can make things easier for humans. Continuous scientific progress drives extensive technological development. One form of information technology known is an information system. One popular type of information system is an expert system, which can be used to improve various services. An expert system is a program that combines human knowledge into a computer to help solve problems that are usually solved by experts. This research aims to identify gaps in research that has been conducted, as well as encourage the development of new ideas and increase capabilities in utilizing existing research resources. Areca nut is a high agricultural resource so it has many benefits in the pharmaceutical industry. . The method that will be used in this research is Breadth First Search (BFS). The algorithm carries out the search process on all nodes that are at the same level or hierarchy one by one. An algorithm that performs a wide search that visits nodes in preorder, that is, visits a node first. There are 16 data on areca plant diseases here and have 33 symptoms which will be processed using the Breadth First Search Method. By diagnosing areca plant diseases using an expert system, it is hoped that we can find more in-depth information about diseases in areca palm trees.]]>
<![CDATA[Implementation of the Topsis and AHP Methods in the Decision Support System for Determining the Best Employees ]]>
<![CDATA[Putri, Yolan Ananda]]>;
<![CDATA[Sumijan]]>;
<![CDATA[Enggari, Sofika]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 10 Issue 2 (2024): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v10i2.103
<![CDATA[Every company or agency needs Human Resources (HR) in the form of employees who have competence and good performance. Employees are one of the most important assets owned by a company. The West Sumatra Province Transportation Service is the organizer of government affairs in the field of transportation or transportation policy for the West Sumatra Province region where the selection of the best employees is still not optimal using Microsoft Excel. The aim of designing a new system at the Provincial Transportation Service is to create optimization in the assessment of each employee to facilitate the recapitulation of employee data. The data is analyzed and processed according to the research framework, namely using a Decision Support System, especially the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Analytic Hierarchy Process (AHP) methods. In this research, 10 alternative employees were taken to be assessed. Based on formula calculations using the AHP method, it is used to determine the weighted value of each existing criterion, then the resulting values from the weighting are used to carry out rankings using the TOPSIS method. After carrying out calculations using these 2 methods, the result was that the best employee was alternative 9 in the name of Rusdi with a value of 0.9995. So with this calculation the results can show which employees have the right to be the best employees in that agency]]>
<![CDATA[Application of Fuzzy Logic to Classify Community Welfare Levels ]]>
<![CDATA[Aditra]]>;
<![CDATA[Sumijan]]>;
<![CDATA[Sovia, Rini]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 10 Issue 3 (2024): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v10i3.104
<![CDATA[Information regarding family welfare does not only affect family members, but also influences the success of government, including village government. Therefore, information regarding the level of family welfare is needed to monitor the progress of development programs that have been carried out. The fuzzy logic of the Tahani model is one method that can be applied to classify things. The aim of this research is to classify the level of welfare of families as potential recipients of assistance based on population data held by the Mentawai Social Service & P3A. This research was processed using Fuzzy Tahani logic. Fuzzy Tahani is an optimization algorithm that can be used to support decisions by utilizing relational databases. Based on the research results obtained, fuzzy logic with the Tahani model can be used to process family data in accordance with indicators of family welfare levels by providing output in the form of family classification. It's just that the application of the Tahani model should be done on a single rule search function, not to process all the rules using a Tahani query to produce a family classification]]>
<![CDATA[Decision Support System Using the SMART Method in Determining the Status of Contract Employees from Permanent Employees ]]>
<![CDATA[Nitami, Dian]]>;
<![CDATA[Rianti, Eva]]>;
<![CDATA[Pratiwi, Mutiana]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 10 Issue 3 (2024): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v10i3.105
<![CDATA[Employee performance assessment is a way to determine the abilities of each employee. The assessment is carried out to obtain materials for developing the company's human resources. The process of appointing contract employees to permanent positions is still not effective, this results in doubt in decision making which allows errors to occur. In this research, a system for decision making will be built, where this research uses the Multi Attribute Rating Technique (SMART) method. The SMART method is a multi-criteria decision making technique that compares one criterion with another. The data used in this research uses 3 factors and 12 employee data to be selected. For assessment using the SMART method based on criteria and weights, a score above 80 is declared a pass to become a permanent employee. Research using the Simple SMART method can help the Ibnu Sina Islamic Hospital in West Pasaman in managing the data or criteria used in determining the status of contract employees, so that they can determine employees who are in accordance with the quality and quantity of human resources needed and as a basis for making decisions. become a permanent employee.]]>
<![CDATA[Cat Disease Diagnosis Expert System Using Web-Based Forward Chaining Method ]]>
<![CDATA[Ghandira, Faras]]>;
<![CDATA[Rizki, Syafrika Deni]]>;
<![CDATA[Safira, Silky]]>
<![CDATA[ Journal of Computer Scine and Information Technology Volume 10 Issue 3 (2024): JCSITech ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/jcsitech.v10i3.106
<![CDATA[Currently, technological developments are growing rapidly. It can be seen from that most human activities require technology to meet daily needs. Technology has now fulfilled human needs that can be done by themselves. One of them is an expert system. Cats are one of the animals that are popular among people. Because it is so popular, the number of cat enthusiasts in Indonesia has become very large, and will continue to grow. However, this is not balanced by the knowledge of the keepers and the availability of sufficient veterinarians. This research develops an expert system application to diagnose diseases in cats. This expert system has 7 knowledge bases about diseases in cats and 30 symptoms, using the forward chaining inference method. The expert system was built and designed using the PHP programming language. The expert system provides output in the form of disease diagnosis results in cats based on the symptoms input by the user. The expert system developed is useful for helping the public obtain information about cat diseases and their symptoms easily and quickly]]>
