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[The Covid-19 Chatbot Application Using A Natural Language Processing Approach ]]>
<![CDATA[Cahyo Prianto]]>;
<![CDATA[Nisa Hanum Harani]]>
<![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.v5i2.133
<![CDATA[Cases exposed to the Covid-19 virus in Indonesia until June 2021 continue to experience a spike in increases, to handle it, various government policies continue to be rolled out and the public needs to be given correct, precise and fast information so that mutual awareness can be built to suppress cases exposed to COVID-19. With this background, this study aims to design and build a COVID-19 chatbot system based on artificial intelligence based on the Natural Language Processing algorithm. This chatbot is expected to be a place to ask questions about all things related to covid-19 so that it can become a personal assistant with two-way communication that can be accessed quickly for 24 hours. This chatbot system was built using the Python programming language, Node.js server and MariaDB as the database. As a client, this chatbot is integrated with the popular instant messaging application in Indonesia, namely WhatsApp. The data set used to train the chatbot was 369 question data and spread into 46 question tags. Testing the chatbot system using blackbox testing, and to test the expected output, the chatbot was tested using 350 testing data and the accuracy rate of the chatbot in answering reached 54%.]]>
<![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[Implementation of Product Sales Forecast Using Artificial Neural Network Method ]]>
<![CDATA[Cholid Fauzi]]>;
<![CDATA[Aly Dzulfikar]]>
<![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.v5i2.126
<![CDATA[Product sales forecasting is used by companies to estimate or predict future sales levels using sales data in the previous year. The Artificial Neural Network Backpropagation Algorithm can forecast the sales of goods for the next period for each item in the company. The forecasting process begins by determining the variables needed in the network pattern, and then the established network pattern continued in the network training process using the backpropagation algorithm. After carrying out the network training process, the researcher comparisons with several network patterns formed. This research was conducted to discuss the forecasting analysis of PT XYZ products on spiral and leaf springs. Forecasting carried out on Toyota 48210-25290 R3 type leaf springs using the Artificial Neural Network Backpropagation method with a learning rate weight value of 0.1 hidden layers four and an error of 0.01. From the data processing analysis that has been carried out based on the weight parameters selected, the prediction of sales in April.]]>
<![CDATA[The application of the Analytic Hierarchy Process method to the selection of dominant factors for adolescents who are prone to insecurity ]]>
<![CDATA[Indra Riyana Rahadjeng]]>;
<![CDATA[Muhammad Noor Hasan Siregar]]>
<![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.v4i2.107
<![CDATA[Teens are often stressed, worried, and overly insecure as a result of their high expectations. The feelings that occur during adolescent development can create and increase feelings of insecurity in their lives, which has a negative impact. Adolescents with an excessive sense of insecurity can suffer from mental disruption, which can lead to serious mortality. Of course, these factors can have a negative impact on adolescents' mental health. Adolescents' minds and psyches can be disrupted by mental illness. The goal of this study is to identify the dominant factor among a number of factors that can lead to insecurity when using the Decision Support System (DSS) technique. Analytical Hierarchy Process is the DSS method used (AHP). The data used in this study was gathered through observations and interviews with adolescents using a random questionnaire. Six factors were derived from observations and interviews: social environmental factors (A1), family environmental factors (A2), social media factors (A3), insecure factors (A4), trauma factors (A5), and education and work factors (A6). The results of the AHP method show that the main factors for adolescents who are easily insecure are social environmental factors (first), social media factors (second), and family environmental factors (third) (third).]]>
<![CDATA[Aplication of The SMARTER Method for The Selection of The Best Ambassador Brand ]]>
<![CDATA[Nasib Marbun]]>;
<![CDATA[Muhammad Zarlis]]>;
<![CDATA[Rahmat Widia Sembiring]]>
<![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.v5i2.120
<![CDATA[This study aims to provide convenience for the company's management to solve problems in the process of selecting the best Brand Ambassador in promoting cosmetic tools. The problem identified in this study is the large number of prospective Brand Ambassadors, causing the management to find it difficult to determine the best Brand Ambassador. In this study, the decision support method applied is SMARTER which can determine the ranking results in the final decision using the level of importance of each parameter. The results of this study conclude that the selection of the best Brand Ambassador who is ranked first is A5 (Lucky) with a value of 0.653108466]]>
<![CDATA[Comparative Analysis of Ranking Methods of WASPAS+ROC with Preference Selection Index (PSI) in Determining the Performance of Young Lecturers ]]>
<![CDATA[Fince Tinus Waruwu]]>;
<![CDATA[M Mesran]]>
<![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.v5i2.136
<![CDATA[Young Lecturers are lecturers who have a relatively new tenure compared to lecturers who have served more than 10 (ten years) at a university. Assessment of the performance of young lecturers at universities is very necessary, it aims to get an assessment of the performance achievements of the tri dharma of higher education that have been passed in several years. In order for the assessment of performance achievements to be more effective, a method is needed in generating decisions. In this study, an analysis of the combination of the Weighted Aggregated Sum Product Assessment (WASPAS) and Rank Order Centroid (ROC) methods was carried out with the Preference Selection Index (PSI) method. The WASPAS method is a ranking method that requires weights. For this reason, the ROC method is used to generate weight values. While the PSI method is a PSI method that is used to rank without the need for a weight value for each attribute. The results showed that alternative A1 is the best alternative with the highest performance with a value of 0.323 (WASPAS+ROC method) and a value of 2.016 (PSI method).]]>
<![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.]]>
<![CDATA[Implementation of Geolocation and Jquery Latest For Salesman Monitoring in Android Based Applications ]]>
<![CDATA[Ganda Yoga Swara]]>;
<![CDATA[Putri Mandarani]]>;
<![CDATA[G Giatman]]>;
<![CDATA[S Syahril]]>
<![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.v5i2.127
<![CDATA[The purpose of this study is to design a sales activity monitoring application by utilizing the existing GPS on a smartphone. This research is an experimental research with the waterfall method. There are 5 stages in the waterfall method, namely requirements analysis, system design, implementation, integration & testing, operation & maintenance. Testing is done by testing the latest geolocation and jquery to see the success, failure or delay in the three test locations. The result of this research is that under the tree the highest success rate is 0.875, the lowest failure rate is 0.125 and the smallest delay (distance between data entry) is 0.45. The conclusion of this study is that the tracking system using Geolocation and the Latest jQuery if implemented in an open space with conditions under trees gets the highest rating compared to other test locations]]>
<![CDATA[Maturity Level Analysis of Inventory Information Systems Using COBIT 4.1 Framework at PT. MEDISTA UTAMA ]]>
<![CDATA[Susi Susilowati]]>
<![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.v5i1.108
<![CDATA[PT. Medista Utama is a company engaged in the distribution of medical devices. We have implemented an information system in the inventory section that is used to control the movement of products in the company. The system used must be able to manage, convey and maintain information security properly. So it is necessary to carry out an audit that aims to evaluate the information system governance that is running and ensure that the existing procedures support the existing business processes in the company. The audits were conducted following the standards of the COBIT 4.1 Framework for IT governance. This study will focus on the Delivery Service and Support (DSS) domain to analyze several aspects of IT that are currently running in this company, from the level of system security used to the management carried out by the system. In this domain, the research is focused on the DS5, DS10, and DS11 sub-domains. From the research results it is known that DS5 is at the level of 1.3; DS10 and DS11 are at level 2 (Repetitive but Intuitive). The conclusion is the level of capability obtained from the inventory information system of PT. Medista Utama is still below the expected level. And many improvements are needed to maximize the company's performance to achieve the expected Maturity Level value.]]>
<![CDATA[Developing e-Commerce of Unique Indonesian Souvenirs with Web Engineering ]]>
<![CDATA[Cholid Fauzi]]>;
<![CDATA[M. Hoeru Riza]]>
<![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.v5i2.121
<![CDATA[E-Commerce Unique Regional Souvenirs in Indonesia is a buying and selling application made to make it easier for tourists to find a place or location for typical regional gifts and make it easier for tourists to order souvenirs during a pandemic like now, as well as a means for traveler's local souvenir sellers to promote their products online. Making regional e-commerce specialties in Indonesia uses the Web Engineering paradigm and system modeling with UML (unified modeling language) with business cases, activities, use cases, and class diagrams. At the same time, the database management software uses MySQL with the PHP programming language and the Laravel Framework. The system design is expected to make it easier for people to find local souvenirs based on the place or location of souvenir merchants and local souvenir sellers to promote their products online]]>
