cover
Contact Name
Agus Perdana Windarto
Contact Email
agus.perdana@amiktunasbangsa.ac.id
Phone
+6282273233495
Journal Mail Official
ijistech@gmail.com
Editorial Address
Jalan Sudirman Blok A No. 1/2/3, Siantar Barat Kota Pematang Siantar, Sumatera Utara Kode Pos: 21127, Telepon: (0622) 22431
Location
Kota pematangsiantar,
Sumatera utara
INDONESIA
IJISTECH
ISSN : -     EISSN : 25807250     DOI : https://doi.org/10.30645/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 25 Documents
Search results for , issue "Vol 3, No 2 (2020): May" : 25 Documents clear
Problem Based Learning Android App Innovation Adi Ahmad; Fauzan Putraga Al Bahri
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v3i2.52

Abstract

>Nowadays, there are many learning media that have been developed by many programmers either based on mobile or not have became the needs and viewed as a normal situation in education activity. However, there are many learning media in the market that used by many users are still have many problems on it, such as learning media are not able to adjust to the learning problems needed that are facing in higher education. For this reason this research was conducted to create an Android app that applies the concept of Problem Based Learning in order to produce a mobile learning media so that it is expected to be able to improve the achievements of students in schools because it is more effective and efficient.
Developing Fuzzy-Promethee Method by using AHP Method on Student Achieving Selection Rina Widyasari; Hendra Cipta; Abdul Halim Hasugian
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v3i2.65

Abstract

The achievements are the result of a person doing. Achievement can be achieved by relying on intellectual ability, emotional, and spiritual and resilience in the face of situations in all aspects of life. Student achievement awards can be either scholarship or involve the student in the national and international mathematics Olympiad. In UINSU, determining the best students in each major still uses manual procedures. Promethee is a method to resolve decision-making cases that belong to the MCDM with the outranking principle. This research developed a decision support system that involves AHP and Fuzzy-Promethee. The result shows the model that integrating AHP and Fuzzy-Promethee, which criteria in achievement selected by AHP, then the value of each criterion enter fuzzification, select the best student by Promethee method.
K-Means to Determine the e-commerce Sales Model in Indonesia Ririn Restu Aria
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v3i2.47

Abstract

Sales of e-commerce in Indonesia are currently experiencing a pretty good increase by starting to switch sales that are done traditionally or offline to online sales using the use of internet media to facilitate trade transactions between sellers and buyers can be done anywhere and anytime. In this study using the K-means clustering method algorithm. The data source used in this study is based on sales using e-commerce based on provinces in Indonesia in 2018. The criteria used in the calculation are divided into 3 clusters, namely seller, reseller and dropship. Centroid data for cluster 1 = 68.30,33,58,4.95 namely Aceh, Riau, West Kalimantan, East Kalimantan, and Maluku. Centroid data for cluster 2 = 78.58,22,25.4,22 i.e. North Sumatra, West Sumatra, Jambi, Bangka Belitung Islands, D.K.I Jakarta, Central Java, East Java, Banten, Bali, Central Kalimantan, South Kalimantan, South Sulawesi and Papua  and Centroid data for cluster 3 = 86.36,13.34,4.38 namely South Sumatra, Bengkulu, Lampung, Riau Islands, West Java, D.I Jogyakarta, West Nusa Tenggara, East Nusa Tenggara, North Kalimantan, Central Sulawesi, Gorontalo, West Sulawesi, North Maluku and West Papua.
Prediction of Life Expectancy in Aceh Province by District City Using the Cyclical Order Algorithm Teuku Afriliansyah; Z Zulfahmi
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v3i2.59

Abstract

Indicators to evaluate the role of the local and central government in the welfare of its population, especially in the health sector, can be seen from the life expectancy of the community. Therefore the aim of this study is to predict the life expectancy of the Acehnese using the Cyclical Order Weight / Bias Algorithm. This study uses life expectancy data for the population of Aceh in 2010-2019 based on city districts consisting of 23 regions, which were obtained from the Aceh Central Statistics Agency. This study uses 6 architectural models, including: 8-5-1, 8-6-1, 8-7-1, 8-8-1, 8-9-1 and 8-10-1. After analyzing and calculating the 6 architectural models, the 8-9-1 model was chosen as the best with an accuracy rate of 91% and MSE testing 0.0010800577. The results of this study are in the form of the best architectural model that can be used to predict the life expectancy of the Acehnese people.
An Android-Based Vocabulary Model For Autism Riyan Maulana; Bahruni B
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v3i2.53

Abstract

>The characteristics of autistic children that tend to focus on their world encourage the writer to conduct this research. Their communication weaknesses have become a problem that faced by parents and teachers. This fact is reasonable because autistic children often create their own ways to communicate, such as using a word that has unique meaning for them or by making their own words to convey their needs or convey their intentions. The development of the world of technology and information is considered solve the learning problems for autism community, especially to improve the mastery of a foreign language (English language). An Android-based learning software/ application or learning model create for autistic children is one of examples that the author believe can help autistic students in their communication skills through a special language learning media or method that based on mobile learning / android app. A learning innovation that aims to help communication / improve foreign language mastery in this case vocabulary for autism children is one of the language learning innovations that want to be designed through this research as a guide or learning guide for them because autistic children prefer to do something based on their own way with a media or tool that have responsive value to attracts their attention.

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