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[Implementation of Data Mining Algorithms for Grouping Poverty Lines by District/City in North Sumatra ]]>
<![CDATA[Mhd Ali Hanafiah]]>;
<![CDATA[Anjar Wanto]]>
<![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.v3i2.66
<![CDATA[The poverty line is useful as an economic tool that can be used to measure the poor and consider socio-economic reforms, such as welfare programs and unemployment insurance to reduce poverty. Therefore, this study aims to classify poverty lines according to regencies/cities in North Sumatra Province, so that it is known which districts/cities have high or low poverty lines. The grouping algorithm used is K-Means data mining. By using this algorithm, the data will be grouped into several parts, where the process of implementing K-Means data mining uses Rapid Miner. The data used is the poverty line data by district/city (rupiah/capita/month) in the province of North Sumatra in 2017-2019. Data sourced from the North Sumatra Central Statistics Agency. The grouping is divided into 3 clusters: high category poverty line, medium category poverty line, and the low category poverty line. The results for the high category consisted of 5 districts/cities, the medium category consisted of 18 districts/cities and the medium category consisted of 10 districts/cities. This can provide input and information for the North Sumatra government to further maximize efforts to overcome the poverty line in the area.]]>
<![CDATA[Implementation of AHP and WASPAS (Weighted Aggregated Sum Product Assessment) Methods in Ranking Teacher Performance ]]>
<![CDATA[Mesran Mesran]]>;
<![CDATA[Suginam Suginam]]>;
<![CDATA[Dito Putro Utomo]]>
<![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.v3i2.43
<![CDATA[The performance of a teacher is an outcome that is demanded by the School Principal in awarding a teacher who is at a formal level of education. In producing effective decisions on performance ratings, it is, of course, necessary to use a computer-based information system, this is known as the Decision Support System. In order for the resulting decisions to be better, using methods that can process existing data so that the method used is able to produce a final report in the form of a decision. At SD IT Al-Munadi Marelan-Medan, so far not using computer applications to help decision-makers to rank teacher performance. Although all this time the needs of the school principal are reports on the performance of teachers in schools. In the research that the authors conducted using a combination of AHP and WASPAS methods which are expected to improve the results of decisions on teacher performance ranking.]]>
<![CDATA[GRDP Growth Rate Clustering in Surabaya City uses the K-Means Algorithm ]]>
<![CDATA[Nur Ahlina Febriyati]]>;
<![CDATA[Achmad Daengs GS]]>;
<![CDATA[Anjar Wanto]]>
<![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.v3i2.60
<![CDATA[Gross Regional Domestic Product (GRDP) is an indicator used to measure economic performance in a period. GRDP is the amount of added value generated by all business units in a particular area. It can also be said to be the sum of the value of the final goods and services produced by all economic units. Therefore, this study aims to cluster the GRDP Growth Rate according to business fields in the city of Surabaya, so that it is known which sectors have high or low growth. The clustering algorithm used is K-Means. By using this method, the data will b,e grouped into several clusters, where the implementation of the K-Means Clustering process uses the Rapid Miner tools. The data used is the GRDP Growth Rate in Surabaya City by Business Field, 2010-2019 (Percent). The data is divided into 3 clusters: high, medium, and low. The results obtained are nine categories/sectors with high clusters, 5 categories / sectors with medium clusters, and three categories,s / sectors with low clusters. This can be input and information for the Surabaya City government to further maximize efforts to increase the GRDP Growth Rate in the area.]]>
<![CDATA[Software Testing with the approach of Blackbox Testing on the Academic Information System ]]>
<![CDATA[S Supriyono]]>
<![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.v3i2.54
<![CDATA[SIAKAD is a website based information system assessment application that holds academic data of an educational institution. SIAKAD SDIT Robbani was created to help the assessment process of students, both in the form of public and religious subjects. With this investigation is expected to facilitate the assessment process at the school Rabbani. For that, testing is required to know whether the system can run as expected or not. Software Testing was conducted using black-box testing. The software testing method uses a Boundary Value Analysis (BVA) because the assessment has the minimum and maximum constraints of an inputted value. The test results show the scoring system has not been able to fulfil expectations because there is no limit value so the random value will remain stored by the system. This can result in incorrect information generated by the SIAKAD.]]>
<![CDATA[The Application of C4.5 Algorithm to Classify the User Satisfaction of Online Learning System ]]>
<![CDATA[Didi Supriyadi]]>;
<![CDATA[S. Thya Safitri]]>
<![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.v3i2.67
<![CDATA[Telkom Institute of Technology Purwokerto (ITTP) is one of the universities that always strives to improve the quality of services to stakeholders. One of the services provided is an online learning system known as e-learning. Currently, ITTP does not have an obvious measurement to determine the level of user satisfaction of the e-learning system. System user satisfaction is determined by the quality of the system. Therefore, the purpose of this research is to determine the user satisfaction of the ITTP e-learning system by referring to the attributes of the success information system model developed by DeLone & McLean. Attributes used include the Ease of use, Response time, Reliability, Flexibility, and Security. Respondent data related to the assessment of the e-learning system were further classified by applying the C4.5 Decision Tree algorithm. Based on the results of calculations and tests using Rapid Miner software, it is known that the classification of users who have the SATISFIED classification is 46 respondents and 27 respondents are DISSATISFIED. Also, it is known that the flexibility of the ITTP e-learning system is the main determinant indicator of user satisfaction followed by response time.]]>
<![CDATA[Design of Internet/Iptv Television System Web-Based On Local Community Network ]]>
<![CDATA[Ari Waluyo]]>
<![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.v3i2.48
<![CDATA[>Internet Protocol Television / IPTV is a system used to transmit multimedia data over an Internet Protocol (IP) based network. This technology is changing the way humans communicate with television to be more interactive. IPTV is a technology that is being developed in various countries, including Indonesia, which will soon implement it. The existing broadcast system on Kebumen TV still uses analog transmitters using UHF frequencies, so broadcasts cannot reach large areas and are still limited by broadcast time schedules. The development of a TV transmitter system made is a solution to solve existing problems. The TV transmitter system created will utilize the Internet Protocol (IP) network so that Kebumen TV viewers who are outside the broadcast range can enjoy Kebumen TV broadcasts. Internet Protocol Television (IPTV) is a method of channeling television images and sound through the Internet Protocol (IP). The feature of IPTV is that it can broadcast live or pre-recorded digital video and can transmit programs from various sources. From the research results of television transmitters using the Internet Protocol (IP) network have several advantages compared to analog tv transmitters, among others nois produced far less, is cheaper, and allows for broadcasting more functions and broadcast content.]]>
<![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[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[Application of K-Means Algorithm for Clustering the Quality of Lecturer Learning at Batam International University ]]>
<![CDATA[Yefta Christian]]>
<![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.v3i2.49
<![CDATA[The need to measure the quality of learning becomes very significant when the quality of learning is still low. This also applies to the quality of learning at the highest level. The quality of lecturer learning in class is often not in accordance with what it should be, one of the constraints of this low quality is that the quality of lecturer learning is not accurately measured. Data mining is used in this research to map the quality of lecturer learning based on its cluster, namely Clustering, It is hoped that universities can measure the quality of learning from their lecturers accurately. From this research, students with low social studies tend to value lecturers with low grades; conversely students with high social studies tend to judge lecturers with high enough grades. The k-Means algorithm is accurate enough to be used in clustering the quality of lecturer learning based on grades and results of student questionnaires.]]>
<![CDATA[Application of Steganography to Audio Files with Least Significant Bit (LSB) Process and Vigenere Cipher Encryption ]]>
<![CDATA[Heri Santoso]]>
<![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.v3i2.62
<![CDATA[Current technological developments, making the information very important, then the need arises in sending information that contains secrets. To solve this information security problem, the method that can be used is cryptography to encode messages using the Vigenere Cipher algorithm and steganography to hide messages using the Least Significant bit (LSB) method. This steganography application is able to insert text messages in files that have the format * .txt, * .docx, and * .pdf, but the size of the amount of text does not exceed the cover capacity of the audio file and can extract the text that has been inserted again. This application is also capable of encrypting and decrypting text files in * .txt, * .docx and * .pdf formats. Tests conducted on the audio size, audio that has a large bit rate will have a large capacity.]]>
