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[Pharzolution Prototype Design: Problem Solving Applications Using Figma for Pharmaceutical Problems in the Jabodetabek Area ]]>
<![CDATA[Wildani Zakiyah]]>;
<![CDATA[Indah Laily Hilmi]]>;
<![CDATA[Devi Ratnasari]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i2.232
<![CDATA[Today's technology users are very diverse, namely from the younger generation, parents, experts, and ordinary people. Based on the results of the 2019 PISA survey on the world's education system, Indonesia is located in a low position at 74th out of a total of 79 countries. Based on research conducted in Sleman district, public knowledge about self-medication is still at a low level of 52.9%. Finding a job is not an easy thing in Indonesia. Pharzolution is a SaaS-based application to address issues of education, drug use, and information on job vacancies in the pharmaceutical sector. Respondents were made to 15 people consisting of 5 Pharmacy Vocational High School graduates, 5 Pharmacy D3 graduates or S1 Pharmacy graduates, and 5 pharmacists in the Jabodetabek area by applying the design thinking process to find out problems and solve appropriate solutions. Through interviews, the results obtained 6 suggestions that form the main features of the pharzolution application. The process of compiling the user interface display and user experience prototype is carried out through the figma website. The business model design process uses lean canvas which is an adaptation of the business model canvas. Pharzolution has 3 main features, namely pharducation, drug algorithm, and pharjobs]]>
<![CDATA[Decision Support System for Selection of Online Shopping Applications for MSME Product Marketing Using AHP and TOPSIS Methods ]]>
<![CDATA[Enok Tuti Alawiah]]>;
<![CDATA[Dwi Andini Putri]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i3.245
<![CDATA[MSMEs are business actors who support economic growth and create new jobs for the community. Currently, many business actors use online shopping applications to market their products. One of the reasons is because now many buyers are switching to online shopping. There are many types of online shopping applications. However, research needs to be done to choose the right online shopping application to market their products so that they are right on target and can increase sales turnover. The AHP Topsis method is used to assist the decision making process. AHP is used to calculate comparison values and create a hierarchical structure, while topsis helps in the decision-making process based on the criteria and alternatives offered. The results showed that the final preference value was 0.51 for attractive promotions and the number of active users of the application. Then the alternative applications that can be used are the Shopee and Tokopedia shopping applications based on the five alternatives offered.]]>
<![CDATA[Potential Analysis of Sea Wind Energy To Electricity at Ancol Beach Jakarta ]]>
<![CDATA[Kunto Wibowo]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i2.239
<![CDATA[ The background of this research is how to find out the energy level on the Jakarta coast that utilizes sea wind energy into electrical energy with the presence of wind energy as a source of electrical energy in the future at Ancol Beach will be able to help the surrounding community and especially Ancol Beach in developing new and environmentally friendly energy sources. so that it can be developed into energy that can illuminate or help Ancol Beach in creating energy that can always exist. The method used in this research is to use literature reviews and conduct tests on Ancol Beach so that Ancol Beach can know the level of sea wind energy that can be converted into electrical energy. The problem raised in this study is how to change wind energy on a beach so that it can be utilized into good and environmentally friendly electrical energy. The purpose of this study is how to find out the results of the wind power of Ancol Beach Jakarta which will be converted into electrical energy because by knowing how strong the wind strength of Ancol Beach Jakarta will be, you will be able to find out how much power that will be generated can be converted into electrical energy.]]>
<![CDATA[Independent Campus Internship Scholarship Selection System with TOPSIS Method ]]>
<![CDATA[S Sefrika]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i3.252
<![CDATA[Currently, the Ministry of Education, Culture, Research and Technology provides many internship schemes for students from various universities. However, to get there, universities usually conduct internal selections to screen students who are entitled to take part in the internship selection at independent campuses to match their competencies, abilities and talents. There are many ways that can be done, one of which is to determine certain decisions using the TOPSIS method. TOPSIS is ideally used to help solve problems that offer various alternative criteria. TOPSIS helps in the decision-making process. The results showed that the most ideal criterion was a high cumulative achievement index. The results of the research can be used as a reference model in the decision-making process]]>
<![CDATA[Implementation of The Shortest Route Value Calculation Using The Generate and Test Algorithm ]]>
<![CDATA[Andri Yunaldi]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i2.233
<![CDATA[Search and tracking issues are important in determining the success of a system based on Artificial Intelligence. One that is well known is the Generate and Test method which is one of several heuristic search models in Artificial Intelligence terminology. Generate and Test is an algorithm that performs tests to find the shortest route in the case of a trip. Generete and test is suitable for measuring the smallest distance. The benefit of this research is to save time and money in traveling the distance to a city. How it works in this algorithm is to see the initial state as a star point and see the final state as a goal state. Perform all calculations to each distance provided that it starts from the initial strat and ends with the end strat. Count all values, choose the smallest value to reach the Final goal. If the search results have been found then the search is stopped, if not the solution then the search continues until it finds the smallest result to find a solution.]]>
<![CDATA[COVID-19 Vaccination Sentiment Analysis on Twitter Using Random Forest and Information Gain ]]>
<![CDATA[Andi Nur Rachman]]>;
<![CDATA[Husni Mubarok]]>;
<![CDATA[Euis Nur Fitriani Dewi]]>;
<![CDATA[Mitha Maharani]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i3.246
<![CDATA[Covid-19 in Indonesia has increased from January 2021 unti February 2021 there were 1,217,468 people who were confirmed positive for the corona virus. As a result the increase in the number, the government has taken preventive measures, one of which is the distribution of vaccines or vaccinating the Indonesian people, which has been started since January 13,2021. The government’s covid-19 vaccination efforts had a broad influence on the community through social media (especially Twitter) which then led to pros and cons. Therefore, sentiment analysis is needed to predict the tendency of public opinion regarding the Covid-19 vaccination policy which is classified into positive opinions, neutral opinions, and negative opinions. Random Forest Classifier has high performance compared to other machine learning methods. But the Random Forest Classifier is weak in the level of accuracy and stability of data, so it requires a selection feature to increase its accuracy by applying Information Gain which can increase accuracy by optimizing data features. Measurement of accuracy and sentiment prediction is measured by confusion matrix and classification report. The results show that the application of Information Gain can improve accuracy with the highest accuracy obtained in experiment 1 of 0.00747, that is 0.94776 from 0.94029 with a precision value of 0.65, recall 0.43 and f1-score 0.47 and have a tendency to have a neutral opinion on public tweets about the Covid-19 vaccination on Twitter]]>
<![CDATA[Designing an Expert System for Diagnosing Otitis Disease Using Forward Chaining and Certainty Factor Methods ]]>
<![CDATA[Muhammad Jufri]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i2.240
<![CDATA[The ear is the five senses and is the external organ that most often interacts with external objects, the most common disturbance in the ear organs is an infection in the ear called otitis, otitis is an inflammation that causes an infection in the ear. Otitis itself has many types such as external, media, internal, and others. with research using an Expert System, utilizing the Forward Chaining and Certainty Factor methods, it is hoped that it can help patients to be able to consult the system, as appropriate to consult an ENT-KL specialist, with an accuracy of up to 94%.]]>
<![CDATA[Determination of Business Location by Using Analytical Hierarchy Process (AHP) and Weighted Product (WP) ]]>
<![CDATA[Embun Fajar Wati]]>;
<![CDATA[Elvi Sunita Perangin-Angin]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i3.253
<![CDATA[Information technology that is currently developing provides opportunities for business actors to develop their business. One of the factors that make a business grow is the location of the business. It is not easy to determine the appropriate business location, so various selections are needed so as to be able to measure the feasibility of the location. The existence of a decision support system can assist in making decisions about determining the location. The method chosen is the AHP method combined with the WP method. To get the value calculated by the AHP method, data collection by interview and observation was used. The literature study is used in the calculation stages with the AHP and WP methods. The use of a combination of AHP and WP methods in determining the location of the business gives a ranking result, with the highest score achieved by the Royal location of 0.617 and the lowest value achieved by the Poris location of 0.094. After observing the new location, Royal for 3 months, there was an increase in sales in the first month by 3 million/15%, in the 2nd month by 4 million/19% and in the 3rd month by 7 million/30%]]>
<![CDATA[Development of Mobile-Based Illegal Cigarette Data Management Using Rapid Application Model ]]>
<![CDATA[Adam Bachtiar Maulachela]]>;
<![CDATA[Jian Budiarto]]>;
<![CDATA[Ahmad Ashril Rizal]]>;
<![CDATA[Lalu Puji Indra Kharisma]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i2.234
<![CDATA[Indonesia is one of the highest cigarette-consuming countries in the world. Therefore, the government is trying to control this through various efforts. One of them is by increasing the excise rate on tobacco products yearly with an average increase of 10.92 percent per year. However, this effort has not been able to reduce the number of smokers in Indonesia, which has increased by 8.8 million in the last ten years. This raises the fact that there is an increase in the circulation of illegal cigarettes in Indonesia. Therefore, the central and local governments formed task forces to control illegal cigarettes. This study aims to assist the task force in managing data on the circulation of illegal cigarettes by creating a data management application. This application was developed by implementing the Rapid Application Development (RAD) method. This method consists of four main stages: requirements engineering, system design, development, and implementation. This research has produced an Android-based mobile application that can assist the task force in managing illegal cigarette data. Based on the test results, this application has been declared successful through quality and functionality tests, so it is ready for use by the task force]]>
<![CDATA[Application of Data Mining Approach in the Classification of Diabetes Mellitus Using the Naïve Bayes Algorithm ]]>
<![CDATA[Acep Irham Gufroni]]>;
<![CDATA[Rahmi Nur Shofa]]>;
<![CDATA[Riza Lukmanulhakim]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i3.247
<![CDATA[Diabetes mellitus is a metabolic disorder disease caused by the pancreas that cannot produce enough insulin or the body cannot use insulin effectively. Diabetes mellitus is usually caused by high blood sugar levels. The purpose of this study is to determine whether the performance results of the Naïve Bayes algorithm can produce a very good classification in the classification of diabetes mellitus. The Naïve Bayes algorithm was chosen because this algorithm is very suitable for use on many datasets and always provides a high level of accuracy with the large number of datasets used. This study used data from internal medicine polyclinic patients in 2019 and 2020, with a total of 908 data. The classification process in this study is carried out by entering data into RapidMiner and making a process design, then the data will be tested using the Naïve Bayes algorithm. The results of the classification process using the Naïve Bayes algorithm show an accuracy of 93.70% and get an AUC value of 0.989]]>
