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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JMM (Jurnal Masyarakat Mandiri) EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Tunas KLIK: Kajian Ilmiah Informatika dan Komputer Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Neny Mulyani
Prodi Sistem Informasi, STMIK Royal Kisaran
Arts Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Other

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Journal : EDUMATIC: Jurnal Pendidikan Informatika

 1 
Forward Chaining: Metode untuk Mengembangkan Sistem Prediksi Penyakit Gigi dan Mulut Bobby Anggara Azhari; Neni Mulyani; Andy Sapta
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6376

Abstract

Handling dental and oral diseases require knowledge, techniques, and experts so that the disease can be handled properly. However, the lack of a team of experts and the lack of public knowledge about this disease, a system is needed that can prevent and overcome the symptoms of the disease. This study aims to apply forward chaining as a method to develop a prediction system for dental and oral diseases. The method used in this study is forward chaining and the model used is the waterfall with stages of analysis, system design, application, integration testing, operation maintenance. This study carried out data processing from the clinic. The data is then processed data. Based on the results of black box testing involving patients, and the community directly, the function in this system is already Use of this system can provide convenience for the community, and patients in diagnosing dental and oral diseases.
Sistem Pendukung Keputusan Penentuan Kelayakan Penangguhan Kredit Nasabah menggunakan Naïve Bayes Aldy Sudrajat; Neni Mulyani; Nasrun Marpaung
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6298

Abstract

The COVID-19 (Corona Virus Disease 2019) pandemic is still spreading until 2022, so in responding to this, PT Adira Finance provides an opportunity to suspend credit installment payments to nasakabah. In order not to cause installments and defaults (breaking promises) it is necessary to have a decision support system to determine the creditworthiness of these customers. The purpose of this study is to build a decision support system to determine the feasibility of solicitation to customers using the naïve bayes method. The model used to build this system is the System Development Life Cycle (SDLC) with stages of analysis, design, testing, and implementation. The sample or training data used in this study was 20 customers. Meanwhile, the technique used to determine the feasibility of customer suspension uses naïve bayes by looking at the prior and conditional probability values of each criteria. Our findings result in a customer eligibility decision support system with the naïve bayes method is appropriate and accurate. So that with this system, it can be used as a consideration to make decisions by the manager of PT Adira Finance to determine whether or not customers are eligible to receive a credit suspension.
Co-Authors Aldy Sudrajat Andi Sapta Andy Sapta Aulia Kartika Ayu Ambarwati Bobby Anggara Azhari Fitri Hadanyani Indah Kurnia Ingrid Sartika Putriayu Sihite Jeperson Hutahaean Jeperson Hutahaean Nasrun Marpaung Yessica Siagian Yohana Dela Vega Yusuf Gunawan Zulfi Azhar