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
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<![CDATA[Decision Making on Student Academic Achievement Assessment Using the Topsis Method ]]>
<![CDATA[S Susliansyah]]>;
<![CDATA[Aditia Dwinanto]]>;
<![CDATA[Heny Sumarno]]>;
<![CDATA[Hendro Priyono]]>;
<![CDATA[Linda Maulida]]>
<![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.v5i1.115
<![CDATA[Student academic achievement is a very important matter for all school parties that are directly or indirectly related, especially for Depok Tourism Vocational School, student academic achievement is one of the benchmarks in the success of education. Currently, the process of determining student achievement from the academic side of the Depok Tourism Vocational School is still using a manual system, so it takes a long time to determine the assessment of student academic achievement, because there are quite a lot of student data recording. In addition, it is still less relevant because it has not used the right calculation method, resulting in inaccurate calculations. This research uses the Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) method, because this method is a simple concept and easy to understand and to help the optimal decision-making process to solve practical decision problems. The results of the research using the Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) method found that students with the name Akmal Adnanto got the first rank with the highest preference value of 0.760.]]>
<![CDATA[Implementation of the K-Medoids Algorithm for Data Clustering of Covid 19 Cases in West Java ]]>
<![CDATA[Ririn Restu Aria]]>
<![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.v5i1.109
<![CDATA[The Covid 19 pandemic has hit Indonesia for almost 15 months since March 2020. The virus has spread to all provinces in Indonesia. Various efforts were made to be able to reduce or prevent the spread of the coronavirus, including the implementation of the PSBB in various areas including in West Java province. In this study, the objective of this research is to cluster the data on cases of Covid 19 in West Java which are recapitulated daily based on districts/cities that occurred on May 20, 2021. For the clustering process, the K-medoids algorithm is used which determines 3 clusters based on the variables used, namely discarded close contact, suspects discarded, probable completed, probable died, totally positive, positive recovered, and positive died. For data processing, a calculation analysis was carried out using the stages in the K-medoids algorithm and the Rapidminer application with high cluster mapping of 6 districts/cities, medium clusters there were 19 districts/cities, while low clusters had 2 districts/cities. The results of the analysis are expected to provide information about the distribution and mapping of clusters in West Java province. ]]>
<![CDATA[Implementation of Extreme Programming Method in Web Based Digital Report Value Information System Design ]]>
<![CDATA[Adi Supriyatna]]>;
<![CDATA[Diah Puspitasari]]>
<![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.v5i1.116
<![CDATA[The process of data collection and processing of student scores that is carried out continuously from year to year is felt to be unable to produce fast, precise and accurate information, because it takes a long time. Computerized information system processing student grades is expected to be able to ease the work of homeroom teachers, so that they can produce valid information in a short time and can be accessed anywhere. With good processing and management, value data processing will be easier, faster, more accurate. The purpose of this research is to build a web-based digital report card information system as a solution offered to help solve problems faced by schools. The system development method used is Extreme Programming (XP) which has several stages, namely planning, designing, coding, testing and Software Increment. The results of this study are the creation of an information system that can provide several advantages as well as efficiency and effectiveness in processing information and managing value data up to the printing of student report cards.]]>
<![CDATA[Implementation of Simple Additive Weighting to Determine Priority for Handling Customer Complaints ]]>
<![CDATA[Yuwan Jumaryadi]]>;
<![CDATA[Tedjo Nugroho]]>
<![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.v5i1.110
<![CDATA[The number of population is increasing, and the competition is getting tougher. It requires companies to remain able to survive and be able to compete with other companies, especially with companies that have the same line of business. The increasing use of the internet today has caused many changes in various fields. Many efforts are made by the company to survive, including by providing the best service to its customers. The use of existing technology for developing information systems for handling customer complaints is expected to help companies improve the quality of their products or services. In company management, it is important to provide good quality service in order to increase customer satisfaction. By determining the priority for handling customer complaints, it is expected to improve the Key Performance Indicator (KPI) of engineers. The decision-making process using the simple additive weighting method is carried out by weighting each criterion. This research is expected to determine the priority of handling customer complaints so that it can help engineers in determining the priorities for handling existing complaints.]]>
<![CDATA[Design and Development of Management Information System in Ma'had Huffadz Bilingual Darul Hikmah Malang Using Scrum Method ]]>
<![CDATA[S Supriyono]]>
<![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.v5i1.117
<![CDATA[The scrum method is the most important thing in building software. The following research builds a management information system on Ma'had Huffadz Bilingual Darul Hikmah under Darus-Sa'adah Al Mardliyah Foundation. The institution, which is one of the Boarding Schools Tahfidzul Qur'an located in the city of Malang, East Java. The following research uses the Scrum framework. The implementation of the scrum method in the following research uses three sprints. The process of working on each sprint takes no more than a month. The software development in this research is web-based. Work on application programs using the Laravel framework using the PHP programming language. The results showed that the scrum method is very effective in building a boarding school management information system. Scrum is more dynamic, and the results of this scrum implementation can be seen from the system that has been developed. So that by implementing Scrum can produce a system that suits the requirements of the user.]]>
<![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 Simple Additive Weighting (SAW) and Weighted Aggregated Sum Product Assessment (WASPAS) Methods in Selection of Young Lecturers with Achievements ]]>
<![CDATA[M Mesran]]>;
<![CDATA[Nelly Khairani Daulay]]>
<![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.v5i1.118
<![CDATA[Lecturers are resources owned by the University. One of the efforts to improve the quality of lecturers is by giving appreciation in the form of rewards or awards to the best lecturers or lecturers who excel. However, to be able to provide these rewards, of course there are several assessments that will be given to lecturers. The problem is how to give the assessment so that the lecturer is declared worthy to receive a reward or award. There is a decision support system or abbreviated as DSS where in the system there are several methods that can be used to provide an assessment of course with the determined assessment criteria. In this research, the method used is the Simple Additive Weighting (SAW) and Weighted Aggregated Sum Product Assessment (WASPAS) with several criteria into consideration. The results showed that alternative A3 and A2 were selected as outstanding young lecturers.]]>
<![CDATA[Detection Coronavirus using Cased-Based Reasoning with Extended Jaccard Coefficient ]]>
<![CDATA[Murien Nugraheni]]>
<![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.v5i1.112
<![CDATA[Coronavirus Disease 2019 or known as COVID-19 is a new disease that can cause respiratory problems and pneumonia. This disease is caused by infection with Severe Acute Respiratory Syndrome Me Coronavirus 2 (SARS-CoV-2). Some of the clinical symptoms that appear vary, ranging from symptoms such as influenza, cough, cold, throat pain, muscle aches, headaches to those with serious complications such as pneumonia or sepsis. This research to build case-based reasoning for early detection of COVID-19 by looking at the characteristics of clinical symptoms seen in a person using the Extended Jaccard Coefficient method. The results show case-based reasoning for early detection of COVID-19 using the Extended Jaccard Coefficient method can model the level of similarity of a new case to an old case.]]>
<![CDATA[Analysis of Data Mining Associations on Drug Sales at Pharmacies with APRIORI Techniques ]]>
<![CDATA[Salam Irianto Nadeak]]>;
<![CDATA[Yusmar Ali]]>
<![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.v5i1.113
<![CDATA[The purpose of the research is to utilize artificial intelligence techniques in analyzing drug sales. Sources of data used are observations and interviews with shop owners. The method used as a solution is the Association method with the Apriori technique. By using the RapidMiner software, the test results are obtained using a minimum support of 25% and a minimum of 60% confidence as many as 5 rules with a predetermined itemset. The results of the study are expected to provide information and make it easier for related parties to find combinations of selling items. The results of this analysis can be used by pharmacies for marketing strategies and product promotion.]]>
<![CDATA[Developing The 7 Stages of Startup (The Maturity Level of Startup): The Concepts of Startup Development Methodology ]]>
<![CDATA[Asih Rohmani]]>;
<![CDATA[Indra Gamayanto]]>;
<![CDATA[Titien S Sukamto]]>
<![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.v5i1.114
<![CDATA[The development of e-commerce is growing very fast and cannot stop; it changes various sides of human life. This change is a big challenge for everyone, and this is a condition that must occur so that everyone can carry out activities more effectively and efficiently. This research produces a few kinds of Startup classification and Customer Relationship Management (CRM) classification. Furthermore, it provides C=R.S2 formula, a formula for developing CRM, and S=H.I2.M formula, a formula for developing a Startup. These two formulas were eventually evolving into the seven stages of Startup (the maturity level of Startup), where the seven steps are the stages in developing a Startup, starting from the local level to the international level. These seven stages work so that the Startup founder can gradually understand what needs and how to develop it by focusing more on CRM. The results of this study are a framework to be able to implement the seven stages. This research results from previous studies' development: The Development of Innovative CRM E-Commerce: The Case of Blibli. Com.]]>
