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All Journal Sainteks Liquidity: Jurnal Riset Akuntansi dan Manajemen Justek : Jurnal Sains Dan Teknologi Muhammadiyah International Journal of Economics and Business JOURNAL OF SCIENCE AND SOCIAL RESEARCH PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Ekonomi Jutech: Jurnal Teknologi Informasi Jurnal Sistem Informasi
Elliya Sestri
Institut Teknologi Dan Bisnis Ahmad Dahlan, Jakarta
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences

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Journal : Jurnal Sistem Informasi

 1 
Metode Decision Tree Dalam Klasifikasi Kredit Pada Nasabah PT Bank Perkreditan Rakyat (Studi Kasus : PT BPR Lubuk Raya Mandiri) Diana Yusuf; Ellya Sestri
Jurnal Sistem Informasi (JUSIN) Vol 1 No 1 (2020): JUSIN
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v1i1.855

Abstract

Data mining is a new technology that has been successfully applied in many fields. Many problems are solved by data mining algorithms C4.5 as a supporter.Classification is one of the methods contained in data mining and not a few researchers who use the classification methods in solving problems. Credit analysis will be done with the digging data against existing data customer credits based on atribut-atributnya with tekanik data mining algorithm C4.5. The algorithm C4.5 is itself a group of decision tree algorithm. This algorithm has input in the form of training and samples. Data mining technique used to classify loans with algorithm C4.5. Analysis and processing of data use applied tools of RapidMiner v 7.3
Sistem Pakar Diagnosa Penyakit Tetelo Menggunakan Metode Certainty Factor Vany Terisia; Ellya Sestri; Dendi Raihan
Jurnal Sistem Informasi (JUSIN) Vol 3 No 1 (2022): JUSIN
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v3i1.1646

Abstract

In today's technological era, computers are not only used as a tool to complete human work but can also run applications designed to access information quickly. Expert systems are one part of artificial intelligence. An Expert Systems application is an application that transfers expert knowledge to a computer. That way the computer can also solve problems as is usually done by experts. Expert systems have been widely developed in various fields, including the field of animal husbandry. Detection of tetelo disease can use an expert system application. One of them is to detect Tetelo disease. Therefore, breeders can access information about Tetelo disease that is diagnosed with the help of an expert system that uses the Certainty Factor method. The Certainty Factor method serves to determine the degree of certainty of the diagnosis result.
Co-Authors Adhitio Satyo Bayangkari Karno Aldin Tegar Wahyudi Bambang Surahman Cakranegara, Pandu Adi Dendi Raihan Diana Yusuf Dodi Arif Eva Karla Fahrul Razi H Husnayetti Husnayetti Husnayetti Husnayetti, H Isnan Hari Mardika Kurniawansyah Kurniawansyah M Koesmawan Muhammad Mujtaba Mitra Zuana Nada Kamilia Novida, Irma R. Tommy Gumelar Reza Fitriansyah Rizky Nur Prasetyo Sarli Amri Teguh Pribadi Sheren Tasyana Saputri Shevti Arbekti Arman Stevianus Stevianus Vany Terisia Widi Hastomo Widi Hastomo