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TIERS Information Technology Journal
Published by Universitas Pendidikan Nasional
ISSN : 27234533     EISSN : 27234541     DOI : 10.38043
Core Subject : Science,
Computer Science & IT
TIERS Information Technology Journal memuat artikel Hasil Penelitian dan Studi Kepustakaan dari cabang Teknologi Informasi dengan bidang Sistem Informasi, Artificial Intelligence, Internet of Things, Big Data, e-commerce, Financial Technology, Business Digital
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 12 Documents
 1   2 
Search results for , issue "Vol. 3 No. 1 (2022)" : 12 Documents clear
Sweet Potato Pest Diagnosis Expert System (Ipomoea Batatas) with Forward Chaining Method and Certainty Factor Slamet Prastiyo; Canggih Nailil Maghfiroh; Nur Khafidhoh
TIERS Information Technology Journal Vol. 3 No. 1 (2022)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (365.664 KB) | DOI: 10.38043/tiers.v3i1.3618

Abstract

Sweet potato (Ipomoea batatas) growth and development is influenced by biotic and abiotic factors. One of the biotic factors that influence it is a pest attack. Pests are organisms that cause direct damage to plants. Farmers need to make regular observations to minimize the occurrence of pest attacks. Regular observations help farmers find out early on pest populations on plants and can control them immediately. Pests on sweet potato plants are very diverse, therefore, to get the right diagnosis, farmers need to consult with experts where this is often an obstacle due to time and cost constraints. One way to facilitate the identification of these pests is to use a system that can provide conclusions based on the existing symptoms, this system is called an expert system. In this study, the authors build a web-based expert system application using the forward chaining method and certainty factor, while the software development method that the author uses is the waterfall method, and the software testing method uses the black box method. This research produces a web-based application. Based on testing, the application has been successful and runs well.
A Bibliometric Analysis: Computer Science Research From Indonesia Edi Supriyadi
TIERS Information Technology Journal Vol. 3 No. 1 (2022)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.725 KB) | DOI: 10.38043/tiers.v3i1.3706

Abstract

Bibliometric indicators originally counted ways to measure research quality. This endured for decades following the term's introduction. The purpose of this research is to carry out a bibliometric analysis of the present status and trends in computer science articles written by Indonesian authors that are included in the Scopus database. Bibliographic indicators were analyzed using SciVal (www.scival.com). Elsevier constructed SciVal using Collexis' semantic technology after buying it in 2010. SciVal evaluates scientific performance using Scopus and tracks funding. Between the years 1998 and 2022, the total number of indexed papers in Scopus that discuss the advancement of research outcomes in computer science has greatly expanded. This rise reached its highest point in 2019, with 121 publications. Santoso is the most prolific Indonesian researcher when it comes to releasing research results on computer science in Indonesia. The University of Indonesia has been the most helpful sponsor in terms of sponsoring computer science research.

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