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[Evaluation and Development of Web-Based Information Systems of Unit Pelaksana Teknis Mengwi District Based on Usability Method and User Experience ]]>
<![CDATA[I Made Suryana Dwipa]]>;
<![CDATA[I Made Candiasa]]>;
<![CDATA[Luh Joni Erawati Dewi]]>
<![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.v5i4.167
<![CDATA[Unit Pelaksana Teknis (UPT) of Mengwi District is one of the regional agencies of Badung Regency. UPT Mengwi has an important task in terms of educational services in the Mengwi District. There were several problems found by users, namely problems related to the interface and some functional systems that did not run optimally. Therefore, continuous evaluation and development were needed. The evaluation of SIUPT Mengwi was carried out using the evaluation techniques of Performance Measurement, Retrospective Think Aloud, and User Experience Questionnaires. The results in the initial evaluation phase with the Performance Measurement technique showed that it was still not effective and efficient. The analysis of user satisfaction on the attractiveness aspect was 1.45, clarity aspect was 1.05, efficiency aspect was 1.21, and accuracy aspect was 1.45. It discovers that the satisfaction Level of the SIUPT Mengwi has not reached the set standard, so that development efforts were needed. The results of the evaluation after the development phase showed that SIUPT has been effective and efficient with a failure rate of 0%, and there was no significant difference in the time to complete the task. All aspects of user satisfaction gained a very good category with an average score for the attractiveness aspect, which was 2.39, the clarity aspect was 2.29, the efficiency aspect was 2.50, the accuracy aspect was 2.41, the stimulation aspect was 2.43, and the novelty aspect was 2.40. For future evaluation and development, some improvements can be made to the Graphic User Interface (GUI) on the system to improve the research which will be carried out.]]>
<![CDATA[Implementation of Algorithms For Frequent Itemset In Forming Association Rules In Movie Recommendation System ]]>
<![CDATA[Ilham Prayudha]]>;
<![CDATA[Muhammad Habib Algifari]]>
<![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.v5i5.181
<![CDATA[A large number of movies around the world, causing a person to take a long time to find the movie they want to watch, not only that the audience will be confused to determine which movie suits their interests. A recommendation system is defined as a decision-making strategy for a user under complex information environments. From the perspective of e-commerce, the recommendation system was described as a tool that can help users decide related to user interest and preference [5]. The recommendation system is intended primarily for individuals who have no experience evaluating the number of alternative items offered, such as movie selection. This study will implement a recommendation system to form association rules from the two algorithms for frequent itemset, namely Apriori and FP-Growth]]>
<![CDATA[The K-NN method was used to assess student satisfaction with the services provided by employees of research and service institutions ]]>
<![CDATA[Muhammad Rais Wathani]]>;
<![CDATA[Dian Agustini]]>;
<![CDATA[Muthia Farida]]>;
<![CDATA[Mokhamad Ramdhani Raharjo]]>
<![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.v5i4.161
<![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[Comparison of Ascent Hill Climbing Algorithm And Simple Hill Climbing Algorithm Solving The 8-Puzzle Case ]]>
<![CDATA[Padma Mike Putri M]]>
<![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.v5i5.175
<![CDATA[Puzzle 8 game is a game that shifts numbers in the form of a box consisting of 9 squares arranged with numbers 1 to 8 based on the order of count and there is an order of 3x3. This form of game is very easy to complete if you follow the rules that have been applied to the algorithm. Comparison of the ascent hill climbing algorithm and the simple hill climbing algorithm. The purpose of this algorithm is to help children who are just learning to arrange a sequence of numbers so that they explore brain power and increase imagination for children. The difference between the ascent hill climbing algorithm and the simple hill climbing algorithm lies in the search movement which does not start from the far left position but the next movement is searched based on the best heuristic value. To obtain the Goal, a systematic process is needed to make it easy and fast in finding solutions so as to save time in finding the final goal.]]>
<![CDATA[Method of Selection of Feasibility Criteria Recipients of Msme Cash Direct Assistance With Topsis Method ]]>
<![CDATA[Enok Tuti Alawiah]]>;
<![CDATA[A Apriyanto]]>;
<![CDATA[Martua Hami Siregar]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i6.189
<![CDATA[Micro, Small and Medium Enterprises are one of the sectors most affected by the pandemic. This is indicated by a decrease in business and service production, a decrease in labor and a reduced income turnover. The affected Micro, Small and Medium Enterprises are dominated by the fields of trade, services, creative industries and tourism. The government seeks to encourage economic recovery by providing BLT assistance funds for Micro, Small and Medium Enterprises as an economic stimulus so that Micro, Small and Medium Enterprises can revive. In order for the grants to be right on target, special research using the TOPSIS method is needed. TOPSIS is used to find the preference value that is closest to the optimal final result by calculating and testing alternative criteria. The results of research conducted in the Districts of Dramaga, Tamansari Ciomas and Tenjolaya show that the provision of BLT funds for Micro, Small and Medium Enterprises should be prioritized for MSME actors who have never received Micro Business Aid (BPUM) funds]]>
<![CDATA[Internal Control System Applied To Online Based Company Accounting Information Systems ]]>
<![CDATA[Endah Prawesti Ningrum]]>;
<![CDATA[Resista Vikaliana]]>;
<![CDATA[Susan Rachmawati]]>;
<![CDATA[Nurzalinar Joesah]]>;
<![CDATA[Arman Syah Putra]]>;
<![CDATA[Nurul Aisyah]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i6.202
<![CDATA[In a company, many systems are made to help the company run better, one of which is an accounting information system. In this study, the author raises the issue of how to create an online system that can be controlled remotely by company leaders in order to know the current state of the company. The method used in this study is a method by carrying out 4 stages, namely, the first stage is the boundary stage, the second is the input stage and the third is the process stage and the fourth is the output stage with these four steps, which are certain steps that will clearly be carried out in order to answer the problem existing research. The problem raised in this research is how to create a system that can be monitored remotely. Because there are many shortcomings of the existing system in the current system. Therefore, making an online system is one solution that is made in order to be able to monitor a company remotely. This study aims to make it easier for company leaders to monitor companies online because there are many problems if they are not monitored regularly with this online system, the company can be assisted in thinking online by company leaders.]]>
<![CDATA[Application of the Weight Product Method on a Decision Support System for the Latest Mobile Recommendations ]]>
<![CDATA[Rima Tamara Aldisa]]>;
<![CDATA[Mohammad Aldinugroho Abdullah]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i6.196
<![CDATA[Mobile phones or what can be called mobile phones are tools for electronic communication that can be used wherever and whenever you are and can send and receive messages. To understand this, a recommendation system is needed to assist mobile phone buyers in choosing, finding, and finding phones that match what the user wants and according to the specifications desired by the user. The author makes the Application of the Weight Product Method in the Latest Mobile Recommendation Decision Support System. Here the author uses two methods, namely the waterfall method for the initial system development process, the second is the Weight Product method to find alternative values or the best results using several calculation formulas and get the best results 0.4183]]>
<![CDATA[Designing The Concept of Innovation Profiling with Case Study ]]>
<![CDATA[Indra Gamayanto]]>;
<![CDATA[Sasono Wibowo]]>;
<![CDATA[Florentina Esti Nilawati]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i6.190
<![CDATA[Innovation is very important in developing a smart city. Therefore, Innovation must be flexible to be applied when developing an area. We must not look only at one side in developing Innovation; Innovation must be broader than it should be and can provide significant changes in others' lives. This article is a long-term process, where this is gradual research, starting from a concept that will then be continued on a prototype and an application to measure a smart city's performance. The main problem is that there are still gaps and difficulties in understanding and implementing innovations. A definite basic concept is needed to execute Innovation right on target. In this article, the method used is from previous research, some formula from smart city 5.0. Moreover, this article's results are the basic concepts of Innovation, formulas, four basic types of Innovation, and seven types of innovation profiling: the innovation profiling framework. We have explained this research roadmap so that readers will know and understand the research process we are doing. It is very important because producing something must have a strong concept. What is produced can be more structured, systematic and on target in its application, especially smart city profiling.]]>
<![CDATA[Comparison of Euclidean with Manhattan in K-Means Clustering for Grouping Palm Oil Production in the Province North Sumatra ]]>
<![CDATA[S Solikhun]]>;
<![CDATA[Lise Pujiastuti]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i6.197
<![CDATA[North Sumatra is the largest palm oil-producing province in Indonesia. The region of North Sumatra has an extensive area of oil palm plantations compared to other provinces in Indonesia. To produce a good clustering of oil palm production using the K-Means Clustering method, it is necessary to compare several calculation methods to find the shortest distance in K-Means Clustering. This study focuses on comparing Euclidean Distance with Manhattan Distance on K-Means Clustering. To determine the best method of calculating the shortest distance, the researchers looked for the smallest Davies Bouldin Index (DBI). The smallest DBI value is at k=2 0.145. The result of grouping oil palm production in Sumatra province with k=2 is the high group being Asahan, Langkat and North Labuhanbatu regencies, while 30 other regencies/cities are in the low group]]>
<![CDATA[An Application-Based Online Learning Readiness Study During The Covid-19 Pandemic (Case Study of High School / Vocational High School Students in Tangerang, Banten, Indonesia) ]]>
<![CDATA[Dendy Jonas Managas]]>;
<![CDATA[F Ferry]]>;
<![CDATA[Arsi Yulianjani]]>;
<![CDATA[Dedy Prasetya Kristiadi]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i6.191
<![CDATA[The impact of COVID-19 on learning activities in Indonesia has caused problems for students. Research that has been conducted on the failure of pedagogic delivery by teachers and difficulties in adapting to the use of technology and learning models, cannot be used as references and conclusions. The need to conduct research and literature studies becomes urgent to obtain accurate, reliable and up-to-date information. The research, which was conducted in vocational high schools and high schools in Tangerang district, was related to the readiness of students to learn about conditions during the pandemic and the learning tools used. The results of the study from this research are that there are differences in learning readiness, namely that senior high schools are more prepared than vocational schools. To find out the difference in online learning readiness, the statistical analysis used is ANOVA (analysis of Variance), the calculation uses the help of the SPSS version 20.00 application. Furthermore, this research will be a reference for education providers to innovate learning methods so that students can better participate in the learning process during the pandemic without reducing the quality of learning outcomes]]>
