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INDONESIA
IJISTECH (International Journal Of Information System & Technology)
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 23 Documents
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Search results for , issue "Vol 5, No 4 (2021): December" : 23 Documents clear
The K-NN method was used to assess student satisfaction with the services provided by employees of research and service institutions Muhammad Rais Wathani; Dian Agustini; Muthia Farida; Mokhamad Ramdhani Raharjo
IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (810.872 KB) | DOI: 10.30645/ijistech.v5i4.161

Abstract

Population growth caused by the year of birth led to the classification of population groups into several generations. Classification is important because in each generation there is based on population growth has different characteristics and traits in each generation. This research was conducted to try to group generations based on provinces in Indonesia based on the number of residents owned. When researchers analyzed the data obtained from population census data conducted by the central statistics agency (BPS). The method used in generation classification grouping uses the K-Means algorithm method based on 3 clusters. Based on the results of calculations carried out for 3 clusters obtained cluster 1 has 25 provinces, cluster 2 has 3 provinces and cluster 3 has 6 provinces. Based on the 2020 census that has been conducted, the current population is generation Z, generation and Pre Boomer generation is last in line so that from the available data can provide information about mapping in 34 provinces to be able to improve communication patterns between generations and fulfill public facilities that can be used every generation
Fuzzy Analysis Determining The Criteria of Recipients for Liable Housing Using Sugeno Method Rika Widya Perdana
IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (749.279 KB) | DOI: 10.30645/ijistech.v5i4.155

Abstract

The house is the most important part in human life, a comfortable home will produce peace of mind and soul to carry out daily life. Currently, many rural communities have houses in poor conditions or are not suitable for occupancy, so the government provides housing assistance to be repaired to make it better and more durable. The problem that occurs is that there is no knowledge system in determining people who are entitled to housing assistance according to predetermined criteria. The purpose of this study is to help make it easier to select the right community to receive assistance in the form of a system. The settlement of this case uses the Sugeno method with the output results in the form of values 0 and 1. The variables used in this study are 4, namely family cards, identity cards, land ownership rights and house conditions, output in the form of systems in decision making.
Architecture in Institutional Management Systems using Odoo Enterprise Resource Planning at UIN Maulana Malik Ibrahim Malang S Supriyono
IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1034.878 KB) | DOI: 10.30645/ijistech.v5i4.168

Abstract

Rapidly evolving information systems and technology have compelled organizations, particularly educational institutions, to adapt their institutional evolution. The researcher's goal is to build an Odoo ERP-based institutional management system architecture at UIN Maulana Malik Ibrahim Malang in order to gain a competitive advantage in realizing the university's vision, mission, and goals, as well as in the future implementation phase of the recommended application portfolio. Information systems strategic planning is a significant transformation for a company, and it is based on user needs that are aligned with business strategy. The impact and alignment categories are used to categorize the information systems strategic planning technique. The impact category methodology is useful for creating and justifying the use of new information technologies. While the alignment methodology (alignment) serves to align the objectives of the information system with the goals of the organization. The Star UML was used to design the system architecture.

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