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All Journal Infotech: Journal of Technology Information Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Rizal Rizal
STMIK Widuri
Computer Science & IT

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Pemodelan Sistem Pakar Pendeteksian Kerusakan Printer Berbasis Website Dengan Metode Forward Chaining : Studi Kasus : SDN Pela Mampang 03 Pagi Juliana Zega; Rizal Rizal
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 2 No. 1 (2024): Januari : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v2i1.665

Abstract

An expert system is a collection of system engineering devices which have a structured way of thinking from one or more experts regarding certain scientific fields, both specific and complex, which are created based on an instructional element that identifies and also analyzes data at the level of irregular problems or analysis. mathematics regarding problems that cover certain aspects, but are related to the process of detecting printers and repairing them from the school which is carried out independently, then along with the development of website-based information technology which can make it easier to detect printer damage for users, then in detecting printer damage for users there are several factors that influence this, such as, not all staff at the school have knowledge in detecting printer damage and there is no system that supports detecting printer damage so it is difficult to find solutions for staff to repair, based on this problem as a solution, an expert system application design is needed. for detecting printer damage to users who support the website-based printer detection process using the forward chaining method, the concept of forward chaining with search or forward tracking techniques starting with existing information or combining rules to obtain a certain conclusion or goal as a result of the solution.
KLASIFIKASI DATA MINING UNTUK MENENTUKAN KUALITAS UDARA DI PROVINSI DKI JAKARTA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS (K-NN) Ade Davy Wiranata; Soleman Soleman; Irwansyah Irwansyah; I Ketut Sudaryana; Rizal Rizal
Infotech: Journal of Technology Information Vol 9, No 1 (2023): JUNI
Publisher : STMIK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v9i1.164

Abstract

Air plays an important role in maintaining the life of living things on earth. Metabolic processes that occur in the bodies of living things cannot take place without oxygen from the air. The air pollution problem in DKI Jakarta is very serious and can cause health problems such as irritation of the respiratory tract, respiratory diseases, and long-term health problems such as cardiovascular disease and lung cancer. Air pollution can also affect environmental quality, reduce visibility, and damage ecosystems. The purpose of this study is to determine the accuracy of classifying air quality in DKI Jakarta province. The data mining method that the author uses is the K-Nearest Neighbors (K-NN) algorithm. From the results of the evaluation process of the K-Nearest Neighbors (K-NN) algorithm using the K-5 fold that has been carried out using the RapidMiner tool, the results of K-2 fold accuracy of 73.97%, K-3 fold accuracy of 72.60%, K-4 fold accuracy of 72.60%, and K-5 fold accuracy of 75.35%.
Co-Authors Ade Davy Wiranata I Ketut Sudaryana Irwansyah Irwansyah Juliana Zega soleman soleman