IJISTECH (International Journal Of Information System & Technology)
IJISTECH (International Journal Of Information System & Technology) is published with both online and print versions. The journal covers the frontier issues in the computer science and their applications in business, industry and other subjects. The computer science is a branch of engineering science that studies computable processes and structures. It contains theories for understanding computing systems and methods; computational algorithms and tools; methodologies for testing of concepts. The subjects covered by the journal include artificial intelligence, bioinformatics, computational statistics, database, data mining, financial engineering, hardware systems, imaging engineering, internet computing, networking, scientific computing, software engineering, and their applications etc.
Articles
394 Documents
<![CDATA[ITERA Astronomical Observatory Information System ]]>
<![CDATA[Muhammad Habib Algifari]]>;
<![CDATA[Winda Yulita]]>;
<![CDATA[Eko Dwi Nugroho]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i2.130
<![CDATA[In the current information age, data is a valuable asset for companies [1]. Technological advances encourage the digitization of information in almost all fields of science, including astronomy. Technological developments make it easy to access open data in the public domain. The availability of open data will encourage the acceleration of research. ITERA Astronomical Observatory is an observatory located in Lampung. This observatory is claimed to be the largest in Southeast Asia [3]. To face the challenges in the digitization of information, ITERA Astronomical Observatory plans to build an information system specifically for Storing and handling astronomical data]]>
<![CDATA[Case Based Reasoning using K-Nearest Neighbor with Euclidean Distance for Early Diagnosis of Personality Disorder ]]>
<![CDATA[Anna Hendri Soleliza Jones]]>;
<![CDATA[Cicin Hardiyanti]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 1 (2021): June ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i1.111
<![CDATA[A personality disorder is a condition of a person with an extreme personality that causes the sufferer to have unhealthy and different thoughts patterns and behavior from other people. The personality disorders discussed in this study consisted of 110 diseases with 300 case data and 68 symptoms. Based on Basic Health Research (Riskesdas) 2018 data, it shows that more than 19 million people aged 15 years and over were affected by mental-emotional disorders. Data from the Statistics Indonesia in 2019 that the population of Indonesia is around 265 million people, while according to the Indonesian Clinical Psychologist Association, the number of verified professional psychologists is 1,599 clinical psychologists out of a total membership of 2,078 as of January 2019. However, this figure does not meet the standards of the World Health Organization (WHO), which is that psychologists serve 30 thousand people. This shows that Indonesia still lacks around 28,970 psychologists. The unequal distribution of professional psychologists has made psychologists need a long time to provide a diagnosis because of the number of patients being inversely proportional to the availability of psychologists in Indonesia. Moreover, there is not enough patient knowledge about the symptoms they feel. This study aims to produce a system for diagnosing personality disorders. This study is a case based reasoning to solve problems that have occurred in previous cases using K-Nearest Neighbor to classify data based on the closest distance using the calculation of the Euclidean Distance. Algorithm testing for the system used the Confusion Matrix test. Based on the results of testing data in the 60 case data using K-nearest Neighbor and the calculation of the Euclidean Distance with a score of K=3, it is known that 60 data have 100% similarity to cases with a personality disorder. Meanwhile, testing new cases with 10 case data that were not in the knowledge base was also conducted showing that 9 cases had 100% similarity to the previous case, while another case had 90% similarity to the previous case.]]>
<![CDATA[Implementation of the General Administrative Management Information System at Victory University of Sorong ]]>
<![CDATA[Melda Agnes Manuhutu]]>;
<![CDATA[Lulu J. Uktolseja]]>;
<![CDATA[Sarsa F. Sitaniapessy]]>;
<![CDATA[Cynthya A.K. Maradesa]]>;
<![CDATA[Meldi Manuhutu]]>;
<![CDATA[Abraham Manuhutu]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i2.124
<![CDATA[Management Information System is a comprehensive, coordinated and rationally integrated set of information subsystems capable of transforming data into information through a series of ways to increase productivity in accordance with the style and nature of managers on the basis of established data quality criteria. Technological developments require every institution, both government and private, to provide services to be able to serve effectively and efficiently. Management is defined as a typical process consisting of planning, organizing, implementing and monitoring carried out to determine and attempt to achieve goals by utilizing human resources and other resources. In the work process of Victory Sorong University, the General Administration Bureau (ADUM) carries out administrative management processes still manually, this can be seen from the survey results that the data management process is carried out in manual books. This is a major issue that needs attention. Manual conditions can support data loss due to several factors. The importance of the role and function of general administration management as the main task of a government agency, private or organization, so it is necessary to implement an integrated information system using PHP and MySQL database.]]>
<![CDATA[Sentiment Analysis of Student Emotion During Online Learning Using Recurrent Neural Networks (RNN) ]]>
<![CDATA[Nisa Hanum Harani]]>;
<![CDATA[Cahyo Prianto]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 3 (2021): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i3.144
<![CDATA[There are many limitations in online learning process where communication effect student productivity, such as interpretation in the delivery of information can be different if it is in text form . The unstable internet network in some parts of Indonesia is also an obstacle in the learning process. Emotional factors are very influential on student motivation in learning, in online learning emotions can be read from textual dialogue in providing responses. We propose trainable model capable of identifying the tendency of emotions / responses felt by students. With using natural language processing we can extract information and insights contained in conversations from WhatsApp, then organize them into their respective categories. The selection of the RNN algorithm can increase the accuracy by 75% in analyzing student emotions in online learning.]]>
<![CDATA[Design and Build an ENT Disease Diagnosis Expert System with Bayesian Probability Method ]]>
<![CDATA[Khairina Eka Setyaputri]]>;
<![CDATA[Hidayatur Rakhmawati]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 3 (2021): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i3.141
<![CDATA[Sinusitis is one of the most common causes of health problems in the world and the cases are most often found in daily practice. The incidence of sinusitis is a fairly severe disease, namely 1.3 and 3.5 per 100 cases of adults per year to see a doctor. Patients with a disease need accurate information that is easily accessible to find out the disease they are experiencing based on the symptoms they feel. One of the reliable information sourced from experts or people who are experts in their fields and can be easily accessed is the existence of an expert system. In this case, the expert system needed is an ENT (Ear, Nose and Throat) disease diagnosis expert system. The expert system for diagnosing ENT diseases, designed in this study uses the Bayesian Probability method. The research on the design of an expert system for diagnosing ENT diseases that have been carried out can be used as a decision making for ENT patients using the Bayesian Probability method.]]>
<![CDATA[Designing A User Interface and User Experience from Piring Makanku Application by Using Figma Application for Teens ]]>
<![CDATA[ZE. Ferdi Fauzan Putra]]>;
<![CDATA[Hamidillah Ajie]]>;
<![CDATA[Ika Anwar Safitri]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 3 (2021): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i3.145
<![CDATA[This study is aimed to design a user interface for Piring Makanku application that can be used for a promotion medium to introduce Piring Makanku program issued by the Ministry of Health, for the teens aged 15-18. A Figma webapp was employed as a tool for designing this interface quickly and easily. Whereas A Lean UX method, which is one method in designing UX, was used to design the interface shortly and effectively. A usability test with Retrospective Thinking Aloud was applied to measure whether or not the design can be accepted by the teen users. Findings derived from the stages of the test revealed that the design can be accepted by teens with positive response of 95.56% out of the total 5 respondents. It can be concluded that the interface to have been designed becomes appropriate for development into Piring Makanku application layout.]]>
<![CDATA[Application of the C4.5 Algorithm Determination of Depreciation Classification Volume of Fertilizer on Storage Warehouse ]]>
<![CDATA[Y Yendrizal]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 3 (2021): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i3.142
<![CDATA[The problems faced by the fertilizer warehouse PT. Iskandar Muda currently shrinking the volume of fertilizer for storage in warehouses, which is often reduced, is not yet known by the management. In reducing the volume of this fertilizer, the author wants to apply the C4.5 Algorithm to help in making decisions. From all the existing data will be classified and predicted, from the classification results will present the rules. So that it can be easily understood in natural language. Based on the application of the C4.5 Algorithm in the classification technique of fertilizer volume shrinkage on storage in the warehouse at the Pupuk Iskandar Muda warehouse, the results of this study show that 1) the C4.5 algorithm with the decision tree method can provide executive information and the system is used to describe processes related to depreciation classification. 2) The C4.5 algorithm is considered as an algorithm that is very helpful in classifying data because the characteristics of the classified data can be obtained clearly, both in the form of a decision tree structure and rules or rule-if-then. 3) Form a decision tree in providing recommendations for decision making.]]>
<![CDATA[Utilization of Fuzzy Inference Marketing System for Home Purchase Based on Consumer Interest Using Sugeno Fuzzy Logic ]]>
<![CDATA[Dedi Mahrizon]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 3 (2021): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i3.146
<![CDATA[This study aims to determine the purchase of a house based on consumer interest in accordance with consumer criteria. By using the Sugeno method to determine the input and output variables which are a set of companies, then changing the input variables into a fuzzy set with a fuzzification process, then fuzzy processing manages the data with the minimum method. The last step is to convert the output into a set of deficits with a defuzzification process using the centroid method, so that it will get the desired results on the output variable. This study uses variables Size, Type, Design, Position and Material using mathematical constants or functions of input variables, and in the defuzzification process using the centralized mean method. The results of this study are by using the Sugeno method in fuzzy logic to determine house selection based on consumer interests, fuzzy logic can be used to assist in determining the selection of houses in Solok City and by applying the Sugeno method in fuzzy logic to be able to produce house buying decisions based on consumer interests.]]>
<![CDATA[Implementation of the Hill Climbing Method determines the shortest path to the Tanah Datar Regency tourist attraction ]]>
<![CDATA[Rika Widya Perdana]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 3 (2021): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i3.143
<![CDATA[Searching is a method in the best search to find a solution. The heuristic search method is the most common and most widely used method in the process of finding the shortest path to find a solution. The process of completing searching using the Hill Climbing method, this method uses a heuristic function. The problem in this case is solving the problem of finding the best path to save costs and time in visiting recreational areas in the Batu Sangkar area, Tanah Datar Regency. The advantage of this algorithm is that all possible solutions will be obtained and then checked from the left side one by one, so that a solution with optimal results will be obtained. In its application, the Hill Climbing method uses Geographic Information Systems as a tool in making decisions, by collecting, examining, and analyzing information related to digital maps. with the combination of the Hill Climbing method and geographic information systems can produce an application that can overcome the problem of finding the shortest path.]]>
<![CDATA[The Combination of AHP (Analytic Hierarchy Process) and SAW (Simple Additive Weighting) Methods in the Selection of Business Locations ]]>
<![CDATA[Embun Fajar Wati]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 3 (2021): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i3.147
<![CDATA[Choosing a strategic business location is the dream of entrepreneurs. Site selection can also consider several criteria, namely the bustling market, rental prices, and building area. These criteria become important guidelines in choosing the number of business locations offered. It takes one or several methods used in the decision support system to assist in determining the location of the business. The method used is a combination of AHP (Analytic Hierarchy Process) and SAW (Simple Additive Weighting) which can rank business locations based on predetermined criteria weights. The first step in these methods is the weighting of the criteria based on their level of importance, then proceed with selecting the best alternative by ranking obtained from the results of calculations with both methods. The AHP (Analytic Hierarchy Process) method is used to calculate the weight of each criterion which will be calculated using the normalization matrix of the SAW (Simple Additive Weighting) method. The result of combining these two methods is the best location with the first ranking, namely Poris with a preference value of 0.96. The next ranking is Gondrong, Sipon, Royal, Dadap, Teluk Naga, and the last ranking is Rawa.]]>
