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All Journal ILKOM Jurnal Ilmiah Jurnal Pengembangan Riset dan Observasi Teknik Informatika Journal of Machine Learning and Soft Computing
Ahmad Sugiyarta
Universitas Serang Raya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Expert System for Diagnosing Types of Diseases in Human Intestine Organs Using the Certainty Factor Method Elis Nurhayatmi; Zaenal Muttaqin; Ahmad Sugiyarta; Ryan Naufal Hay’s
Journal of Machine Learning and Soft Computing Vol. 1 No. 2 (2019): Volume 1 Nomor 2, July 2019
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jlmsc.v1i2.1676

Abstract

Intestine is one of the organs of the digestive system in the human body which is shaped like pipes and act as gatekeeper food system for our bodies. Many people do not noticed his intestines health because they are too busy with his activity, or lazy to go to the doctor, even when hospital were many visitors there is also felt a lot of to waste time to queue up because they want to get their turn to be checked and a lot of costs to be incurred. This research discusses about creating expert system to diagnose intestinal diseases using certainty factor method.  Applications developed with Visual Basic programming language with MySQL as its database. The results of this research able to do early diagnosis of the symptoms that is felt system users, and provide diagnostic results such as type of disease suffered, prevention and its information.
APLIKASI INVENTORY TERINTEGRASI ORDER SYSTEM KONSUMEN PADA OTO BENTO PERUMNAS CILEGON MENGGUNAKAN METODE WATERFALL Riyan Naufal Hays; Ahmad Sugiyarta; Dessy Eka Winungkas
ProTekInfo(Pengembangan Riset dan Observasi Teknik Informatika) Vol. 5 (2018)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (290.272 KB) | DOI: 10.30656/protekinfo.v5i0.713

Abstract

Sistem inventory pada Oto Bento Perumnas Cilegon saat ini masih bersifat manual, sehingga dalam proses pengecekan jumlah persediaan bahan baku tidak dapat dilakukan dengan cepat, bahkan sering terjadi kesalahan. Pada proses transaksi order system konsumen dan pembuatan laporan sering terjadi kesalahan karena sistem yang digunakan masih bersifat manual atau belum terkomputerisasi. Maka penulis berharap dengan penelitian ini dapat membangun sebuah aplikasi yang dapat mengatasi permasalahan yang ada. Untuk membangun aplikasi inventory, alat bantu yang digunakan untuk menggambarkan model system adalah berupa diagram UML (Unified Modeling Language), serta menggunakan bahasa pemrograman Vb.Net dan SQL Server sebagai Databasenya. Dan untuk metodologi penelitian yang penulis gunakan adalah menggunakan metode waterfall. Hasil dari penelitian ini adalah sistem inventory dan aplikasi yang telah dirancang dapat membantu dalam proses pengolahan data. Pada sistem informasi yang telah dirancang dapat membantu dalam proses transaksi order system konsumen dan pembuatan laporan agar lebih cepat dan akurat. Aplikasi yang dirancang juga mudah dioperasikan karena menggunakan bahasa dan visual yang mudah dipahami oleh pengguna.
Classification of reading skills of early childhood with C4.5 algorithm Suherman Suherman; Agus Nursikuwagus; Ahmad Sugiyarta; Indah Komala
ILKOM Jurnal Ilmiah Vol 14, No 2 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i2.1012.142-149

Abstract

Early age is a golden age for children, which is important to improve their development. The children also need to get a good education according to development to improve their abilities. The education provided is certainly following the developmental aspects, one of which is language. The language skills needed at this age is early reading skills. In the understanding given by the teacher, it was found the problems and the need related to it. There is no determination of the classification of early childhood reading skills. At this moment, the teacher has difficulty providing the achievement of reading skills to students based on the criteria of early reading ability and classifying it and improving learning quality to each student and material for discussion with parents. There is a suggestion given to achieve the goals and resolve it that the classification of early childhood reading skills has been designed and for data processing is carried out using a computer. This study uses a decision tree and Algorithm C4.5 for the method. Algorithm C4.5 is included in the classification based on Decision Tree, which Algorithm C4.5 is a method that can handle features with numeric types. The purpose of this study is to perform classification using Algorithm C4.5 as a method that can find out the level of reading skills in early childhood, based on the criteria, so that classification can be done easily and get the right improvement suggestion. The result in this study is that the Algorithm C4.5 method has a good result in solving and calculating for the classification so that the accuracy value of the Algorithm C4.5 calculation that has been carried out is 77,14%.
Co-Authors Agus Nursikuwagus Dessy Eka Winungkas Elis Nurhayatmi Hay's, Riyan Naufal Indah Komala Ryan Naufal Hay’s Suherman Suherman Zaenal Muttaqin