IJISTECH
IJISTECH (International Journal of Information System & Technology) has changed the number of publications to six times a year from volume 5, number 1, 2021 (June, August, October, December, February, and April) and has made modifications to administrative data on the URL LIPI Page: http://u.lipi.go.id/1492681220 IJISTECH (International Journal Of Information System & Technology) is a peer-reviewed open-access journal published two times a year in English-language, provides scientists and engineers throughout the world for the exchange and dissemination of theoretical and practice-oriented papers dealing with advances in intelligent informatics. All the papers are refereed by two international reviewers, accepted papers will be available online (free access), and no publication fee for authors. The articles of IJISTECH will be available online in the GOOGLE Scholar. IJISTECH (International Journal Of Information System & Technology) is published with both online and print versions. The journal covers the frontier issues in computer science and their applications in business, industry, and other subjects. 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. • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Autonomous Agents and Multi-Agent Systems • 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 • Cognitive systems • 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 • Memetic Computing • Multimedia and Applications • 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 • Stochastic systems • Support Vector Machines • Ubiquitous, grid and high-performance computing • Virtual Reality in Engineering Applications • Web and mobile Intelligence, and Big Data
Articles
394 Documents
<![CDATA[Customer Experience Management (CEM) Supports the Quality of School Based on NFC ]]>
<![CDATA[Dendy Jonas Managas]]>;
<![CDATA[Ageng Setiani Rafika]]>;
<![CDATA[Dedy Prasetya Kristiadi]]>;
<![CDATA[Pramita Retno Ayuning Tyas]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i4.159
<![CDATA[Schools as providers of educational services are a gateway to the progress of a nation. Many prospective students look for schools with good quality in order to get something that they aspire to. While the reference for assessing school services for prospective students can only be known from students who have graduated or through poster media. Meanwhile, the assessment of student experience only refers to personal opinions and only one factor such as teaching services or administration. Each student has a different argument about school services. This study will explain the creation of a framework for determining service levels in NFC-based schools. Evaluation of services in schools using information technology through smartphone applications connected to the computer provided at the information service desk. The information generated in the form of evaluating educational services in schools aims to improve the quality of learning and academic administrative services. Furthermore, the information generated will be made a report by the data processor addressed to the leadership. With this service, it is expected that there will be an increase in the quality of education and learning services that are able to produce quality graduates and can become information and references for prospective students in choosing schools as a reference for educational services]]>
<![CDATA[Weather Determination Prediction Using Expert Fuzzy Logic Mamdani Method ]]>
<![CDATA[Intan Utnasari]]>;
<![CDATA[Narti Eka Putria]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i4.172
<![CDATA[The current climate and weather patterns are very extreme. This kind of weather condition can harm many people. In recent years, heavy rains have resulted in flooding. So far, computers can be used to help people solve problems. The smarter the system and the higher the level of information handling, the more active the role played by the Weather computer is the condition of the air at a certain time and in a certain area that is relatively narrow and in a short period of time. The weather is formed from a combination of weather elements and the weather period can only be a few hours. For example morning, afternoon, or evening, and the situation can be different for each place and every hour. The purpose of this research is to help predict the weather as information. This research uses the Mamdani method. This Mamdani method uses 4 stages to produce an output value, namely, determining the input value (fuzzification), determining the value of x (implication function application), Combination of Rules (Rules), and finally determining the final value or (Defuzzification). This research produces an output value of 35 which is located in the Panas range.]]>
<![CDATA[Steepest Ascent Hill Climbing Algorithm To Solve Cases In Puzzle Game 8 ]]>
<![CDATA[S Silvilestari]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i4.153
<![CDATA[The 8th puzzle compiling game is part of searching. Puzzle 8 is an implementation of the steepest ascent hill climbing algorithm by following the established rules. The working process of this algorithm is by looking at the initial position of the puzzle arrangement, after carrying out the process, the results of the shift are seen, whether it is approaching the correct arrangement position. The problem that often occurs is the lack of knowledge in solving game cases quickly so that it takes a long time to obtain the final state. The main purpose of this study is to provide information so that it is easy to solve puzzle game cases using an algorithm. The final result is a puzzle arrangement that is in accordance with the rules by using the concept of an algorithm so as to obtain a decision-making system to complete the puzzle game correctly.]]>
<![CDATA[Comparison of Final Results Using Combination AHP-VIKOR And AHP-SAW Methods In Performance Assessment (Case Imanuel Lurang Congregation) ]]>
<![CDATA[Devi Valentino Waas]]>;
<![CDATA[I Gede Iwan Sudipa]]>;
<![CDATA[I Putu Agus Eka Darma Udayana]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 5 (2022): February ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i5.185
<![CDATA[Determination of the final result in determining the decision is to determine the best alternative from several existing alternatives based on several predetermined criteria. The criteria are measures, rules, or standards for making decisions. It can be done by combining several Multi-Criteria Decision Making (MCDM) methods such as AHP, VIKOR, SAW, TOPSIS, and others to get the best decision results. The Analytical Hierarchy Process (AHP) method is one of the MCDM methods with advantages at the criteria weighting stage. It uses a consistency test to see whether the weights obtained are consistent. In comparison, the VIKOR and SAW methods are also of MCDM methods but do not apply the weighting consistency test. With the advantages and disadvantages of each MCDM method, it is possible to combine several existing methods to provide better solutions or alternatives. This study compares the ranking results between the combination of the AHP-VIKOR method and the combination of the AHP-SAW method in a performance appraisal case study. The AHP method is used to weight the criteria and sub-criteria, while the VIKOR and SAW methods are used in the alternative ranking process. The test results show differences in the alternative ranking results between the two combinations of MCDM methods used.]]>
<![CDATA[Sentiment Analysis of Public Transportation Services on Twitter Social Media Using the Method Naïve Bayes Classifier ]]>
<![CDATA[Rima Tamara Aldisa]]>;
<![CDATA[Pandu Maulana]]>;
<![CDATA[Muhammad Aldinugroho]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i4.166
<![CDATA[Public transportation services in Indonesia, especially Jabodetabek, have used social media, especially Twitter, as a way to improve services. Currently, the use of online transportation services is like a need; it is necessary to conduct a sentiment analysis of online transportation to find out how people respond to these online transportation services. This research was made to analyze community responses with data analysis in the form of tweets that filtered with a public transportation-related keyword then classified into positive and negative classes using the Naïve Bayes Classifier method. Based on the system built, the total sentiment results for the percentage of the occurrence of positive words were 0.507843137, and the sentiment results for the percentage of negative word occurrences were 1.4132493. The results show that the level of negative sentiment from public tweets is greater than the level of positive sentiment.]]>
<![CDATA[Fp-Growth Algorithm For Searching Book Borrowing Transaction Patterns And Study Program Suitability ]]>
<![CDATA[Lisna Zahrotun]]>;
<![CDATA[Anna Hendri Soleliza Jones]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 5 (2022): February ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i5.180
<![CDATA[The current development of data has reached a sizeable amount. This is due to the development of the world of information technology which consists of data in it. One technique that can handle abundant data is data mining. Data mining methods are widely used to perform large amounts of data analysis. In the academic field, analysis can be used to determine the patterns of students and lecturers. Whereas in library transactions, analysis can be carried out to determine the patterns of existing book borrowing. This is done to determine the tendency of students with certain study programs to borrow any uku transactions. In this study, the aim of this research is to analyze the patterns of borrowing books from the Ahmad Dahlan University library, which includes borrowing transaction data and the book owner's study program. In addition, in this study, a percentage analysis of the suitability of the book borrower study program and the book owner's study program was also carried out. The stages in this research include data collection, data cleaning, data selection, data transformation, searching for association patterns using the FP-Growth method and pattern evaluation. The test used in this research is the lift ratio. The results of this study are publications in international journals that are in the draft process. Apart from that, the results of this study provide information on the analysis of patterns of lending books in libraries using the FP-Growth method. The resulting pattern is 103 patterns with a support count value of 5 and a confident 10% with the 2 itemset rule, this means that the level of book borrowing is still low. While the results of the analysis of the suitability of books in the study program with the borrower were 31% in accordance with the study program, namely Pharmacy and Public Health Sciences, meaning that there were 69% of students who borrowed books from the library that were not in accordance with their study program.]]>
<![CDATA[Classification of Generation By Population by Region in Indonesia Using K-Means Algorithm ]]>
<![CDATA[Ririn Restu Aria]]>;
<![CDATA[Susi Susilowati]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i4.160
<![CDATA[Population growth caused by the year of birth led to the classification of population groups into several generations. Classification is important because in each generation there is based on population growth has different characteristics and traits in each generation. This research was conducted to try to group generations based on provinces in Indonesia based on the number of residents owned. When researchers analyzed the data obtained from population census data conducted by the central statistics agency (BPS). The method used in generation classification grouping uses the K-Means algorithm method based on 3 clusters. Based on the results of calculations carried out for 3 clusters obtained cluster 1 has 25 provinces, cluster 2 has 3 provinces and cluster 3 has 6 provinces. Based on the 2020 census that has been conducted, the current population is generation Z, generation and Pre Boomer generation is last in line so that from the available data can provide information about mapping in 34 provinces to be able to improve communication patterns between generations and fulfill public facilities that can be used every generation]]>
<![CDATA[Classification of Tomato Leaf Based on Gabor Filter Extraction And Support Vector Machine Algorithm ]]>
<![CDATA[Mhd. Furqan]]>;
<![CDATA[A Armansyah]]>;
<![CDATA[Lely Sahrani]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v4i2.173
<![CDATA[Tomato production in Indonesia is reduced because tomato leaves are stricken with disease. The main disease that often attacks tomato leaves is rotten leaves and bacterial patches or commonly called dry patches. Identification of tomato leaf disease is still done manually with human vision. The shortcomings of the method manually required a technology that is able to extract the texture of tomato leaf disease. One of them is by the process of extracting the texture of leaves with gabor filters, namely by using frequency and orientation parameters. Based on the results of the experiment obtained that the input parameter gabor filter with orientation of 90o with a combination of frequency 4 produces a fairly clear contrast. The process of extracting the texture of the leaf aims to get the magnitude value of the tomato leaf that will be used as inputs for the classification process. The svm algorithm grouped data that had the same characteristics into one class. Training data used 42 images and test data used 30 images, with the success rate of 83.33%.]]>
<![CDATA[The Effect of Corona's Impact on the Community's Economy In The Automotive Marketing Sector Using FIS ]]>
<![CDATA[Dedi Mahrizon]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i4.154
<![CDATA[Corana is very influential on the economy in Indonesia, especially in the marketing of Automotive Goods. At present, there is a very significant decline in turnover. This resulted in sluggish market prices and a lack of consumer interest in shopping due to declining economic conditions. The problem that occurs is the lack of marketing of goods, especially in the automotive sector. The purpose of this research is to study how to improve the marketing of goods in the automotive sector so that the economy can increase as much as possible. The research method used is descriptive qualitative method. In addition, the Mamdani method uses the AND operator to obtain an inference engine. The Mamdani method has four stages, namely Demand, Supply and Purchase and the output obtained is Income Value. using secondary data sources from research results, references and online news related to research. The results of this study obtained 3 inputs, namely, requests, offers and purchases, the final result obtained was a decision-making system in the form of smooth or not automatic marketing based on the data to be processed. inputs.]]>
<![CDATA[Performance Analysis and Model Determination for Forecasting Aluminum Imports Using the Powell-Beale Algorithm ]]>
<![CDATA[Nur Arminarahmah]]>;
<![CDATA[Syafrika Deni Rizki]]>;
<![CDATA[Okta Andrica Putra]]>;
<![CDATA[Anjar Wanto]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 5 (2022): February ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i5.186
<![CDATA[Aluminum is one of the most important metals for the industrial world, but currently, aluminum is scarce due to a shortage of electricity, which makes manufacturers limit their production. Therefore, to overcome this scarcity, the government imports aluminum. Imports that are carried out continuously will more or less affect the wheels of the economy in this country. Therefore, it is necessary to predict the value of aluminum imports in the future so that later the demand for aluminum in Indonesia is stable and not too excessive in importing. The prediction method used is the Powell-Beale algorithm, which is one of the most commonly used artificial neural network methods for data prediction. This paper does not discuss the prediction results. Still, it discusses the ability of the Powell-Beale algorithm to make predictions based on imported Aluminum datasets obtained from the Central Statistics Agency. The research data used is aluminum import data by the leading country of origin from 2013-to 2020. A network architecture model will be formed and determined based on this data, including 3-15-1, 3-20-1, and 3-25-1. From these five models, after training and testing, the results show that the best architectural model is 3-20-1 with an MSE value of 0,03010927, the lowest among the other four models. So it can be concluded that the model can be used to predict aluminum imports.]]>
