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IJISTECH (International Journal Of Information System & Technology)

ijistech
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Published by STIKOM Tunas Pematang Siantar

ISSN : 25807250 EISSN : - DOI : -

Core Subject : Science,

Computer Science & IT

IJISTECH (International Journal Of Information System & Technology) is published with both online and print versions. The journal covers the frontier issues in the computer science and their applications in business, industry and other subjects. The 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.

Arjuna Subject : -

Articles 394 Documents

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Geographical Information System for Indonesian Tourist Destinations John JOI Ihalauw; Natalia Kristiani Tandafatu
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Geographical Information Systems have been widely used as a method for effective, efficient and robust decision making in the business world. It has also been used in the selection of precise and accurate tourist destinations. This paper discusses a review of geographical information system for Indonesian tourist destinations. Articles taken from sources in the form of national journals, international journals and conferences proceedings. The author limits the years 2018-2021. Furthermore, the writer will present the taxonomy and summary of the review results. Finally, the authors present research opportunities that have the potential to be studied in the future.

Model of Data mining Clustering Rules on Population Determination of Trade and Accommodation Facilities in Indonesia with K-Means Rino Subekti
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

The research aims to conduct a mapping model in the form of the grouping of residents of trade and accommodation facilities according to regions in Indonesia using data mining techniques. This research is a reference specifically for the role of the government in increasing regional income in Indonesia evenly. The data source is obtained from the government statistical data provider website, namely the Central Statistics Agency (BPS) with the URL address www.bps.go.id. The mapping method used is K-Mens and tested with the Rapid Miner software. There are 3 clusters used in mapping the area to the population of trade and accommodation facilities, namely the high (C1), medium (C2), and low (C3) clusters. The results obtained are cluster C1 centroid data, namely ((1527), (810.4), (5865), (6655.3), (323), (315.1)); cluster C2, namely ((286), (199,591), (1327), (2240,227), (93,227), (140,955)); and cluster C3, namely ((139,25), (122,5), (508,833), (919,222), (64,417), (94,444)). The results of the mapping show that in cluster C3, there are 16 provinces with a low population of trade and accommodation facilities.

The Application of C4.5 Algorithm to Classify the User Satisfaction of Online Learning System Didi Supriyadi; S. Thya Safitri
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

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.

Development of Knowledge Sharing Model Using Decision Support System In Determine Feasible on the Job Training In Vocational School Using Vikor Method S Safrizal; A Ambyar; Unung Verawardina
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Decision support system (SPK) as a system that can process input data into one information that can be used as a more accurate decision support for the school in recommending students who meet the categories or requirements in following the Job Training. The system that was built carried out the process of determining decision support based on the Vise Kriterijumska Optimizajica I Kompromisno Resenje (VIKOR) method which is able to simplify complex problems in determining feasible to follow the On The Job Trainings based on criteria using formulas whose results are right on target.

Implementation of Simple Additive Weighting (SAW) and Weighted Aggregated Sum Product Assessment (WASPAS) Methods in Selection of Young Lecturers with Achievements M Mesran; Nelly Khairani Daulay
IJISTECH (International Journal of Information System and Technology) Vol 5, No 1 (2021): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Lecturers are resources owned by the University. One of the efforts to improve the quality of lecturers is by giving appreciation in the form of rewards or awards to the best lecturers or lecturers who excel. However, to be able to provide these rewards, of course there are several assessments that will be given to lecturers. The problem is how to give the assessment so that the lecturer is declared worthy to receive a reward or award. There is a decision support system or abbreviated as DSS where in the system there are several methods that can be used to provide an assessment of course with the determined assessment criteria. In this research, the method used is the Simple Additive Weighting (SAW) and Weighted Aggregated Sum Product Assessment (WASPAS) with several criteria into consideration. The results showed that alternative A3 and A2 were selected as outstanding young lecturers.

Network Security System Analysis Using Access Control List (ACL) Oris Krianto Sulaiman; Darjat Saripurna
IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Communication using internet media is a mandatory requirement today to carry out various activities. Communication through the internet will pass through public access, where many people use public access. When communication is in progress, many things can happen before the message reaches its destination. One of them is the occurrence of hacking attempts from irresponsible parties. Therefore, it is necessary to secure the communication process, and many network security methods can be used to secure the communication process in the internet network. Access Control List or ACL is one method that can be used to secure communication in the network. ACL makes it easy to block specific devices and ports to prevent network communication. The results of the ACL implementation have the impact of avoiding access so that not all devices or protocols can access certain communications, thereby increasing network security in the process.

Detection Coronavirus using Cased-Based Reasoning with Extended Jaccard Coefficient Murien Nugraheni
IJISTECH (International Journal of Information System and Technology) Vol 5, No 1 (2021): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Coronavirus Disease 2019 or known as COVID-19 is a new disease that can cause respiratory problems and pneumonia. This disease is caused by infection with Severe Acute Respiratory Syndrome Me Coronavirus 2 (SARS-CoV-2). Some of the clinical symptoms that appear vary, ranging from symptoms such as influenza, cough, cold, throat pain, muscle aches, headaches to those with serious complications such as pneumonia or sepsis. This research to build case-based reasoning for early detection of COVID-19 by looking at the characteristics of clinical symptoms seen in a person using the Extended Jaccard Coefficient method. The results show case-based reasoning for early detection of COVID-19 using the Extended Jaccard Coefficient method can model the level of similarity of a new case to an old case.

Web-Based Academic Potential Test Information System (Case Study: Faculty of Teacher Training and Education Victory University of Sorong) Leuwol, Natasya V.; Manuhutu, Melda Agnes; Sirajuddin, Muhammad Z.
IJISTECH (International Journal of Information System & Technology) Vol 5, No 2 (2021): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Academic Potential Test (TPA) is a test used to measure a person's ability level. At the Faculty of Teacher Training and Education (FKIP) Victory University, Sorong, TPA was held before the Field Experience Program (PPL) where the implementation was still manual, namely the test was carried out in writing using paper and corrections by the lecturer. It takes a long time to correct and uses a lot of paper. The purpose of this research is to design a Web-Based Academic Potential Test Information System. System development used the prototype method. This research used the PHP programming language, the database is built using MySQL. The result of this study is that this web-based academic potential test information system helps FKIP in conducting online academic potential tests, where this test can be taken anywhere and can see the results directly after taking the test

Designing High Availability Cluster Using Server Virtualization on Cloud Storage Services Ali Idrus
IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Cloud Storage Service at PT. Harrisma Globaltechnologies Jakarta has not been applied based on virtualization. The problem with cloud storage services in general is that the server is not able to serve a high number of requests as a result the cloud storage server fails. One of these problems is caused by inadequate server resources and less than optimal storage server management. These problems can be solved effectively and efficiently with server virtualization. Where server virtualization is managed by Proxmox. Proxmox is an open-source virtualization platform supported by KVM and OpenVZ hypervisors and can be managed with web-based graphics. Server virtualization collaboration can save server resources by duplicating server services virtually. The research methodology used is clustering by applying the concept of high-availability where there is a secondary server as a backup-server for the primary-server. The results of this study include three parameters, namely Throughput, Response Time, and CPU Usage. The results show that cloud storage servers that implement virtualization than those that do not apply with a difference in the value of the Throughput parameter of 1896.6 Kbps, the difference in the value of the Response Time parameter of 10.6 requests/second, and the difference in the value of the CPU Usage criteria of 11.91%

The Covid-19 Chatbot Application Using A Natural Language Processing Approach Cahyo Prianto; Nisa Hanum Harani
IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Cases exposed to the Covid-19 virus in Indonesia until June 2021 continue to experience a spike in increases, to handle it, various government policies continue to be rolled out and the public needs to be given correct, precise and fast information so that mutual awareness can be built to suppress cases exposed to COVID-19. With this background, this study aims to design and build a COVID-19 chatbot system based on artificial intelligence based on the Natural Language Processing algorithm. This chatbot is expected to be a place to ask questions about all things related to covid-19 so that it can become a personal assistant with two-way communication that can be accessed quickly for 24 hours. This chatbot system was built using the Python programming language, Node.js server and MariaDB as the database. As a client, this chatbot is integrated with the popular instant messaging application in Indonesia, namely WhatsApp. The data set used to train the chatbot was 369 question data and spread into 46 question tags. Testing the chatbot system using blackbox testing, and to test the expected output, the chatbot was tested using 350 testing data and the accuracy rate of the chatbot in answering reached 54%.

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