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[Image Captioning Approach for Household Environment Visual Understanding ]]>
<![CDATA[Dhomas Hatta Fudholi]]>
<![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.v5i3.135
<![CDATA[Image captioning task generates a description from an image in a form of a sentence. It holds various critical usage in different applications and domains, such as indexing in retrieval system, by capturing semantic information within the images. In the area of live quality support system, an image captioning model may be used by visual impaired people to achieve visual understanding of their surroundings. In this paper, we present a novel image captioning model that aims to give visual understanding on household environment. To develop the model, we use five different household objects (sinks, chairs, tables, beds, couches) from MS COCO datasets. We create three new captions, in Bahasa Indonesia, for the selected data. The captions describe the name, the color, the position/location, the size, and the type/characteristic of the related object and its close surrounding. InceptionV3 and LSTM architecture is used to train the model with GloVe as the word embedding. In this study, our developed image captioning model can generate caption well and achieved BLEU-1 score of 0.502033, BLEU-2 score of 0.312539, BLEU-3 score of 0.193333, BLEU-4 score of 0.106111, METEOR score of 0.183193, ROUGE-L score of 0.358339, and CIDEr score of 0.348903.]]>
<![CDATA[Developing The Concepts & Strategy of Smart Regional: How to Increase Tourism & Investors (Smart city 4.0) ]]>
<![CDATA[Sendi Novianto]]>;
<![CDATA[Farrikh Alzami]]>;
<![CDATA[Indra Gamayanto]]>
<![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.v5i3.140
<![CDATA[Smart city 4.0 is a development of the three previously published articles, namely smart city 1.0,2.0 and 3.0. The smart city article that we created is a long process in research, so we have to make it gradually and make it into several parts. Smart city 1.0 and 2.0 we designed a big picture of a smart city and how the maturity level understood. Next, in smart city 3.0, our focus is on how smart education can be applied in collaboration between each educational institution so that a high-quality level of education achieved in the area. In smart city 4.0, we focus on designing a concept that focuses on developing tourists and how to get investors interested in investing. Factors such as culture, infrastructure/facilities, human resource development in the community, safety and comfort, profit sharing, development of tourist attractions, innovation in improving people's lives and many other factors are our main concern in this article. The methods used in smart city 4.0 are PDCA & USEPDASA, which are both appropriate methods for developing a special framework for tourists and investors. The stages in smart city 4.0 are mapping in terms of culture, human resources, facilities, information technology, security and comfort. These divided into two parts: on the side of increasing tourists and the side of increasing investors. The result of smart city 4.0 is a framework to be able to connect all activities in a smart city to generate profits for the area.]]>
<![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.]]>
<![CDATA[User Acceptance Test For Digital Signature Application In Academic Domain To Support The Covid-19 Work From Home Program ]]>
<![CDATA[Irawan Afrianto]]>;
<![CDATA[Andri Heryandi]]>;
<![CDATA[Alif Finandhita]]>;
<![CDATA[Sufa Atin]]>
<![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.v5i3.132
<![CDATA[The user acceptance test (UAT) is the final stage in the production of the application. This is intended to see the degree to which the system can function and satisfy the needs of its users. The objectives of this research is to test the function and user acceptance of the digital signature application in the academic environment to support the covid-19 work from home program. The approach used in the user acceptance test is to use the black box method and the Likert scale questionnaire to figure out the functional scope of the program, as well as the acceptance of system by users while using the application. The results of the test show that the digital signature application that has been designed, functionally can run well and generates a user acceptance value of 82.07%. It can be concluded that the application that was developed has been accepted by users and fulfills the needs of its users, it is an alternative solution, especially in signing academic documents during the current Covid-19 pandemic.]]>
