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[Utilization of Microcontroller Technology as A Food and Beverage Menu Ordering for Service at The Cafe ]]>
<![CDATA[Ashari, Mohammad Ibrahim]]>;
<![CDATA[Artiyani, Anis]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 7, No 3 (2023): The October edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v7i3.314
<![CDATA[The cafe service system in this modern era still uses manual labor. This is less effective in terms of service speed and of course will increase operational costs due to the need for a large number of waiters. For this reason, an electronic food and beverage ordering device is needed. This is useful for speeding up the service process and also reducing service personnel, of course, also reducing operational costs. This research will present the use of the ESP 8266 module as a minimum system design for ordering menus on consumer tables. Input from the dining table containing the menu code and number of menus will be displayed on the LCD. Furthermore, data will be sent from ESP 8266 to the kitchen to mix food and drinks ordered by consumers. The data is also transferred to the cashier's PC, whereupon the cashier prints invoices for consumers. From the test results on the LCD can already display a menu of food and drinks. The cashier PC and kitchen PC have also displayed the food and drink data ordered. Cashiers can also print bills for consumers.]]>
<![CDATA[The Influence of Actual Usage in Using QRIS on Payment Methods ]]>
<![CDATA[Sefrika, S]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 7, No 3 (2023): The October edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v7i3.315
<![CDATA[Along with technological developments, one of the features used by many users is electronic money. QRIS as an electronic payment method is currently widely used by citizens to carry out payment transactions. However, more in-depth research needs to be done to find out the factors that influence the use of QRIS. This research aims to determine the background that underlies users in using the QRIS method. This research method uses the Technology Acceptance Model or TAM. TAM is a method that can be used to find out how technology is accepted by users with valid measurement results. The research results show that the majority of users use the QRIS payment method because of the perception of convenience, thereby generating interest among users]]>
<![CDATA[Geographic Information System For Infrastructure Damage Handling at Perumdam Tirta Anom ]]>
<![CDATA[Nurdin, Arif Muhamad]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 7, No 3 (2023): The October edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v7i3.316
<![CDATA[Perumdam Tirta Anom Banjar city has services to meet the needs of clean water and drinking water for the people of Banjar City. In meeting the needs of clean water Perumdam Tirta Anom has several water treatmen infrastructure, piping, reservoir, pipes and office buildings. Perumdam Tirta Anom Banjar City has the responsibility to handle infrastructure damage based on reports of damage from the community as well as on schedule of periodic maintenance of infrastructure. Monitoring of Perumdam Tirta Anom infrastructure is conducted based on monthly report and grouping of location is still in general in Banjar City area only, so that there are constraints in the accuracy of handling damage. Head of Distribution Section requires a system that can monitor all activities handling infrastructure damage, and assist Head of Sub Division of Planning in determining the main priority of handling infrastructure damage. The proposed solution based on the problems that have been described is building a geographic information system that handles damaged infrastructure of Perumdam Tirta Anom Banjar City. The software development analysis approach used is object-oriented analysis, and geographic information system is built on the website, and for the determination of the main priority of handling infrastructure damage using TOPSIS method.]]>
<![CDATA[Artificial Intelligence (AI) & Ethics Profiling (Akeru, Bunka, Syuu kan, Sai seisan) ]]>
<![CDATA[Gamayanto, Indra]]>;
<![CDATA[Wibowo, Sasono]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 7, No 3 (2023): The October edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v7i3.317
<![CDATA[AI faces many challenges in the future. Some people still say that AI is a threat to the future, but on the other hand, AI is a technology that will help many people live their lives. In this concept research, we will explain what we think about AI and what ethics should be involved in using AI. It will require a lot of analysis to produce a concept of AI ethics, which is not easy. Our focus will provide perspectives from the social, psychological, and cultural sides and what things might affect human life by quickly developing AI. The final result of this concept is a framework for the ethics of AI profiling, where this may be used as a guide or opinion that can be considered when we use AI in our daily lives. AI is something that must be supported, and its application must receive special attention so that it can help humans in solving various life problems.]]>
<![CDATA[Prediction of Student Graduation using the K-Nearest Neighbors Method ]]>
<![CDATA[Wati, Embun Fajar]]>;
<![CDATA[Perangin-Angin, Elvi Sunita]]>;
<![CDATA[Sari, Anggi Puspita]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 7, No 3 (2023): The October edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v7i3.318
<![CDATA[Predictions on the accuracy of student graduation are designed to support study programs in guiding students so that they can graduate on time. The number of student graduations will influence the university's accreditation score. Graduation predictions can provide very useful information in decision-making; therefore, research was conducted on student graduation data. This data will be processed using the K-Nearest Neighbor method. The dataset used consisted of 150 students majoring in informatics engineering. The variables included gender, age, marital status, grade, and job status. The research methodology used in this study consists of 6 stages: Data Collection, Data Selection, Preprocessing, Transformation, Testing, and Evaluation. In the preprocessing or cleaning stage, the data can be fully utilized because all fields have been filled in correctly. Meanwhile, in the transformation stage, the data is categorized as follows: age (young: 19-24, old: 25-50) and grade (large: 3-4, small: 1-2.9). The K-Nearest Neighbor (KNN) method can predict student graduation rates. The KNN method, processed with the RapidMiner 9.9 tool, obtained an average accuracy of 100%. Based on the results of 100% accuracy and an AUC value of 1, it can be concluded that the KNN method is highly accurate in classifying graduation data for the 150 students.]]>
<![CDATA[Use of The Merdeka Teaching Platform Application In The Implementation of the Independent Curriculum ]]>
<![CDATA[Alawiah, Enok Tuti]]>;
<![CDATA[Setyorin, Dini]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 7, No 3 (2023): The October edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v7i3.312
<![CDATA[Independent Teaching Platform is an application launched by the Ministry of Education, Culture, Research and Technology aimed at teachers in the framework of adaptation to the independent curriculum. This application must be used by teachers to share information, good practices, aspiration videos and learning resources. The Merdeka Mengajar Platform is an application launched by the Ministry of Education, Culture, Research and Technology aimed at teachers in the framework of adaptation to the independent curriculum. This application must be used by teachers to share information, good practices, aspiration videos and learning resources. However, the Merdeka Mengajar Platform has not been fully accepted by teachers because not all teachers have the ability to access information technology, inadequate infrastructure, difficulty accessing and lack of motivation in learning the new paradigm so that they enter into using the old paradigm in the learning process in class. This study uses the TOPSIS method, which is a multi-criteria method used to find the most ideal preference value in the decision-making process. The results of the study obtained a score of 8.35 for the Readiness of the Education Unit, which means that the use of the Merdeka Mengajar Platform in its implementation requires the readiness of the Education unit which consists of the Principal, Learning Committee and Teachers]]>
<![CDATA[Design of a Web-Based Truck Maintenance Information System Using Web Engineering Methods at PT. POS Logistics Indonesia Palembang Branch Office ]]>
<![CDATA[Nugraha, Adriansyah]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 7, No 3 (2023): The October edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v7i3.313
<![CDATA[PT Pos Logistics Indonesia Palembang Branch Office as a logistics company faces challenges in maintaining a fleet of trucks for optimal operations. The lack of a truck maintenance information system causes efficiency and effectiveness to be hampered. Therefore, this research designs a web-based truck maintenance information system with the aim of improving the management and performance of truck fleets. The development method used is web engineering with integration of truck, driver, mechanic and spare parts data. This system also supports data archiving to maintain good historical documentation. By implementing this system, it is hoped that truck maintenance information will become more accurate, complete and efficient.]]>
<![CDATA[Mitigation Scenario of Beef Cattle Greenhouse Gas Emission In Developing Country: A System Dynamic Approach ]]>
<![CDATA[Nurbani, Muhammad Fauzan]]>;
<![CDATA[Suryani, Erma]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 7, No 3 (2023): The October edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v7i3.319
<![CDATA[Ever increasing beef demand and government desire to fulfill it has built stress on beef production system. The system then tries to increase it production capacity by increasing cattle population. This leads to the increment of greenhouse gas emission. Specifically, cattle dominate 65% of greenhouse gas emission from agricultural activity. With the densest beef cattle population, East Java have the biggest amount of green house gas emission from beef cattle in Indonesia. The purpose of the research is to find out what mitigation is the most effective to reduce this emission. A model of green house gas emission from beef cattle developed using system dynamic approach. It includes stages such as problem articulation, development of dynamic hypothesis, simulation model formulation, model validation and scemario development. Secondary data from previous researches are used in the model development. Several mitigation scenarios then developed and applied to the model. According to the model developed, emission can be reduced by implementing feed additive. Natural feed additive is used on the model instead of syntetic chemical. This mitigation scenario is able to reduce overal greenhouse gas emission by 4% by adding 15% of Acacia mangnium leaves to the feed. Model and scenatio can be used by stakeholders as reference to mitigate green house gas emission from beef cattle.]]>
