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Journal : Paradigma

Pemanfaatan Sistem Pakar untuk Mendiagnosis Penyakit pada Burung Murai Batu Ilyas Shiddiq Pratama; Iskandar Zulkarnaen; Audy Sukma Putera; Betha Nurina Sari
Paradigma Vol. 24 No. 1 (2022): Periode Maret 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (377.294 KB) | DOI: 10.31294/paradigma.v24i1.1007

Abstract

The stone magpie has many enthusiasts among the community and breeders, but the disease suffered by the stone magpie is a serious problem. There are various diseases that attack and cause farmers to be unable to diagnose and difficult to know the type of disease, because knowledge about these diseases is still limited in diagnosing diseases that attack stone magpies. To diagnose the type of disease, you can use this method, you can find out the symptoms of the disease, then you can determine the diagnosis of the disease and take early prevention so that the disease does not spread. Therefore, we need a system that is able to diagnose the type of disease, so that breeders or the public can find out early on the types of diseases that will attack new magpies and anticipate transmission to other animals. The results of making this expert system will display symptoms that occur, diagnosis, and prevention so that they are not contagious, which can help breeders and the public to obtain information on types of diseases and be able to assist in maintaining the health of stone magpies.
Penerapan Naïve Bayes untuk Klasifikasi Kriteria Air Layak Minum dengan Metode CRISP-DM Ibnu Alfitra Salam; Katon Wahyudi Putra; Sisca Yuliatina; Betha Nurina Sari
Paradigma Vol. 25 No. 1 (2023): March 2023 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v25i1.1754

Abstract

With water, living things can do various things easily. The adequacy of water is also important in maintaining human health. Water can be said to be feasible if its content is in accordance with the feasible criteria. From the dataset obtained regarding the feasibility of water for this study, it will calculate the accuracy value obtained using the Naive Bayes algorithm. To simplify the process of processing research data this time using the CRISP-DM methodology which is a stage for data mining. The study uses two tools, namely Rapidminer and Google Collab to compare their accuracy values. By using the two tools in implementing the Naive Bayes algorithm on a potable water quality dataset, an accuracy of 62.8% is obtained. This value is accurate enough to predict the quality of drinking water.
Application of C4.5 Classification in Improving Recitation Fluency in Students Sisca Yuliantina; Betha Nurina Sari
Paradigma Vol. 25 No. 1 (2023): March 2023 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v25i1.1775

Abstract

Fluency in reciting the Koran is learning the recitation of the Qur'an in a tartil way. Based on the observations of researchers, the learning of tajwid in recitation and at school has not been effective so far. Because of this, both teachers and students at recitation or at school need improvement by finding out what can increase fluency in reciting the Koran and what has the most influence on improving fluency. So this study aims to improve the fluency of the Koran in students. The research method used is the Decision Tree data mining classification method with the C4.5 algorithm. The results of data processing with the C4.5 algorithm using the Rapidminer tools are attribute C1(fluency) being the most influential attribute for increasing students' reading fluency and performance data obtained with an accuracy of 83,33%.