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[Simple Additive Weighting (SAW) Method on The Selection of New Teacher Candidates at Integrated Islamic Elementary School ]]>
<![CDATA[Rozi Meri]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v4i1.80
<![CDATA[A decision support system is a computer-based information system that produces various alternative decisions to assist management in dealing with various structured or unstructured problems using data or models, one of which is in the problem of recruiting new teachers so that decisions are made in the right direction. The research method used in this study is SAW (Simple Additive Weighting), which is one of the algorithms used for decision making. The SAW algorithm is also known as the weighted addition algorithm. This method requires a decision matrix normalization process (x) to a scale that can be compared with all available alternative ratings. The authors took a case study at SD IT Cinta Qur'an. SD IT Cinta Qur'an is one of the elementary schools managed by the As-Salam Ilal Jannah Foundation, which is located in Tanjung Balik Village, Solok Regency. The result of the calculation of the saw method is in the form of information that can be taken into consideration by the school in making decisions on new teacher selection. In this study, six candidates as samples with five criteria were used in the calculation of the SAW method to obtain the best candidate rankings to make decisions by ordering from maximum to minimum value. It can be concluded that the SAW method can be used to support decisions in the selection of new teacher candidates by building a decision support system modelling.]]>
<![CDATA[Implementation of Simple Multi Attribute Rating Technique Method using Decision Support System Concept (Case Recommendation of Salon Place in Pematangsiantar City) ]]>
<![CDATA[Indra Riyana Rahadjeng]]>;
<![CDATA[Agus Perdana Windarto]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 3, No 1 (2019): November ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v3i1.29
<![CDATA[The purpose of the research is to determine the ideal salon place considering the salon is a place visited by women to beautify themselves. This research can also be used as recommendations in the form of information in deciding whether consumers visit the salon or not based on research results. The method used in decision making is the SMART (Simple Multi Attribute Rating Technique) method. To determine the evaluation of the salon, researchers used 5 assessment criteria, among others: service (C1), facilities (C2), products (C3), price (C4) and Purchase Decision (C5). For alternatives used as a salon, among others: salon Sukim (A1), Necis (A2), Endah (A3), Crown (A4) and Chan Dhai (A5). The results obtained by Sukim (A1) with a final value of 0.8835 as the first rank, Endah Salon (A2) with a final score of 0.5530 as the second rank and Chan Dai (A5) with a final value of 0.45 as the third rank.]]>
<![CDATA[Diagnosis of Victims of Bullying Behaviour Using Bayes Method ]]>
<![CDATA[Abdul Halim Hasugian]]>;
<![CDATA[Mhd. Furqan]]>;
<![CDATA[K Khairunnisa]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v3i2.61
<![CDATA[Victims of bullying behavior in the first high school students are still going on and unresolved. Victims of bullying behavior that is not easily visible to the naked eye and the lack of knowledge about bullying are problems in resolving the problem. This research is to create an expert system that can diagnose victims of bullying behavior based on the symptoms suffered by the victims of bullying to address the problems faced during this time. The Bayes method describes the relationship between the probability of A with event B has occurred. The probability of event B on the condition of event A has occurred. The occurrence of an event based on the influence gained from the observation result, Like bullying symptoms that occur in victims of bullying behavior, the Bayes method will calculate the probability and generated types of bullying experienced by students based on the knowledge that is in the can of an expert and made into an application.]]>
<![CDATA[Decision Support System for The Selection of North Sumatra Atlet Drumband By Applying Elimination and Choice Translation Reality (ELECTRE) (Case Study: United States of Drumband Indonesia North Sumatra Region) ]]>
<![CDATA[S Sunaryo]]>;
<![CDATA[Natalia Silalahi]]>;
<![CDATA[M Mesran]]>;
<![CDATA[Surya Darma Nasution]]>;
<![CDATA[Guidio Leonarde Ginting]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v4i1.93
<![CDATA[Unity Drumband Indonesia (PDBI) Region of North Sumatra is an organizational body engaged in sports groups, which involves players in various musical instruments. In selecting players, PDBI North Sumatra through the committee to conduct strict selection, through a judging system with several stages of a rigorous process. From the selection of participants, compare each criterion one by one to get the best athletes. Implementation of decision support systems is expected to provide the right solution and can assist the jury in generating a decision. Thus the process of selecting athletes can produce a decision directly without a long time. So that accelerate the selection process of drum band athletes who will strengthen the team of North Sumatra. The Elimination and Choice Translation Reality (ELECTRE) method is required in decision support systems for the selection of drum band athletes who will strengthen the North Sumatra team.]]>
<![CDATA[Design Warehouse Management Inventory System Based On The Website ]]>
<![CDATA[Ririn Restu Aria]]>;
<![CDATA[Indra Riyana Rahadjeng]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 1, No 2 (2018): May ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v1i2.8
<![CDATA[Warehouse management system is one of the most important parts of manufacturing companies in order to monitor all the supplies owned by the company for incoming goods and goods out. PT. Arista Latindo, is still using manual way to know the inventory they have today, so it will take a lot of time to be able to process the results of the use of raw materials, the resulting production, when using the system there are many mistakes that often occur in the process of recording thus affecting the overall system. Therefore, with technological advances to improve the existing system from the manual will be converted into computerized. For making these applications can use the website as a form of view that can be accessed by administrators more easily, quickly and effectively. When the design is done to better understand the needs of the user, the process is done and the output to be used, the testing process is done by waterfall method and black box testing method to check the errors associated with the display in applications that have been made and will be used in the company.]]>
<![CDATA[Cryptographic Symmetry Analysis with AES Algorithm for Safeguarding Data at Government Agencies ]]>
<![CDATA[Muhammad Rizal]]>;
<![CDATA[Elviawaty Muisa Zamzami]]>;
<![CDATA[Muhammad Zarlis]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 3, No 1 (2019): November ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v3i1.42
<![CDATA[Data is very confidential information because it contains important information about the company or agency. Therefore it is necessary to secure these important data, in order to avoid misuse, theft of information or manipulation by certain parties who are not responsible. To avoid theft and manipulation of data it is necessary to implement a computer-based security system. One of them is by using cryptography. Cryptography is the study of how to change information from a normal (understandable) state / form into an incomprehensible form. One method that can be used to secure messages or information is the Advanced Encryption Standard (AES). AES is a part of symmetry cryptography. The application of AES cryptographic algorithms in securing data at government agencies can produce encryption that cannot be understood by humans and produce decryption that is exactly the same as the initial plaintext inputted, so that important government data can be secured in such a way. This research will produce a program that can encrypt and decrypt data using the AES (Advanced Encryption Standard) algorithm which will be used to secure data at Government Agencies.]]>
<![CDATA[Simple Additive Weighting on The Selection of Candidate Students in The Job Skills Training Program ]]>
<![CDATA[R Rayendra]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v4i1.74
<![CDATA[The Job Skills Training Program (JST) is an education and training service program that is oriented towards the development of job skills in accordance with industrial needs, given to students so that they have competence in certain skill areas as evidenced by a certificate of competence to work and be absorbed in the business and industry. Course institutions that receive assistance from this program often experience problems in the selection of potential candidates because the number of applicants is large enough to meet the same criteria while students are limited. The Simple Additive Weighting (SAW) method is one of the decision support methods used in this study to obtain alternative candidate students who match the criteria. From the results of calculations using the SAW Method, it is concluded that the SAW Method can be used to support decision making in the selection of JST Program candidates that produce the highest-ranking scores.]]>
<![CDATA[Model Combination of Activation Functions in Neural Network Algorithms (Case: Retail State Sukuk by Group) ]]>
<![CDATA[Muhammad Noor Hasan Siregar]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 2, No 2 (2019): May ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v2i2.23
<![CDATA[This study aims to maximize the activation function used in backpropogation networks in finding the best architectural model. The case study used is the sale of state retail sukuk based on professional groups. The combination of activation functions used for training and testing is tansig-tansig, tansig-purelin and tansig logsig. The architectural model used is the architectural model 6-2-1 and 6-5-1. The evaluation parameters used are epoch, MSE training, MSE testing and accuracy level of truth. Data processing is assisted by using Matlab software. The results showed that the tansig-logsig activation function had more stable results than tansig-tansig and tansig-purelin.]]>
<![CDATA[Measure Device of Water Content On Food Materials Based On Internet of Things ]]>
<![CDATA[Tri Ferga Prasetyo]]>;
<![CDATA[Abghi Firas Isdiana]]>;
<![CDATA[Harun Sujadi]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v3i2.55
<![CDATA[Water content is the amount of water contained in an object, such as soil, agricultural materials, and others. Determination of the water content of a food is very important so that the processing and distribution process gets the right handling. Because if there is improper handling in the processing and determination of the wrong water content there will be damage to food that can be harmful to health. Therefore measuring the amount of water content in food is important. Android-based water level measurement is a tool that provides information on water content in food based on the Internet of Things. This tool is controlled by the Wemos D1 Mini microcontroller by using a Soil Moisture sensor whose output is displayed on the LCD and the android application "Blynk". Using an internet connection. The amount of water content will be displayed in the LCD and android application "Blynk" by producing temperature in the form of celsius and humidity in the form of numbers with percent from 0% to 100%, so we can see how much the level of water content is good.]]>
<![CDATA[Decision Making In Determining CV. Sinar Siantar With The TOPSIS Technique ]]>
<![CDATA[Indra Riyana Rahadjeng]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v4i1.87
<![CDATA[This research aims to build a decision support system in ranking the routes that are passed by public transportation. Pematangsiantar (often abbreviated as Siantar only) is one of the cities in North Sumatra Province, and the second-largest city in the province after Medan. Due to the strategic location of Pematangsiantar, the Trans Sumatra toll road was crossed. The city has an area of 79.97 km2 and a population of 240,787 people (2010). Public transportation is one of the transportation used by the community together and pays the fare. So far, public transportation is part of urban transportation which has an important role in people's lives. However, this problem is still hampered by problems of the route that must be traversed by public transportation, especially Sinar Siantar. Decision support systems are interactive systems that support decisions in decision interpretation with alternatives obtained from the tabulation of data, information and model planning. In this research, the method used is Technique For Order Preference By Similarity To Ideal Solution (TOPSIS). The TOPSIS method is based on the concept that the best alternative chosen has not only the shortest distance from the positive ideal solution but also has the farthest distance from the negative ideal solution. The TOPSIS method has several advantages, including simple and easy to understand concepts, efficient computing, and the ability to measure the relative performance of alternatives in simple mathematical decision making. Based on the calculation, the value of the V3 process, which has the highest value is obtained, so that this route is the best alternative through the CV. Sinar Siantar is the alternative route to A3, namely Jalan Jawa, because the alternative criteria best meet all the other alternatives. This decision support system is expected to assist in determining public transport routes to become more efficient so that the result is the determination of public transport routes.]]>
