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Journal : Journal of Machine Learning and Soft Computing

Expert System for Diagnosing Types of Diseases in Human Intestine Organs Using the Certainty Factor Method Nurhayatmi, Elis; Muttaqin, Zaenal; Sugiyarta, Ahmad; Hay’s, Ryan Naufal
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 | Full PDF (236.07 KB) | 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.
Intelligent Software for Classification of Regional Inequality in Banten Province Using the Williamson Index Hidayat, Tubagus Rachmat; Harsiti, Harsiti; Muttaqin, Zaenal; Lauryn, Maya Selvia
Journal of Machine Learning and Soft Computing Vol 1, No 1 (2019): Volume 1, Nomor 1, Maret 2019
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (20.68 KB) | DOI: 10.30656/jlmsc.v1i1.1672

Abstract

The process of development in some areas occur quickly, but several areas experienced a very slow process. In this case, the local government has some problems in the process of implementing of local development, whether in policy making or proposing a strategy for local development, as well as improving the environment in order to support the development of their region's economy. Banten Province is a province located at the west of Java. The administrative conditions which is directly bordered with Jakarta as a capital city and West Java province makes Banten province become the most strategic regions. Based on economic growth data of Banten Province in 2010 - 2015, it can be seen that economic growth of Banten Province is increasing positively in five years. Although the growth of economic development in Banten province tend to be positive, it can be seen significantly that there is still a level of development that has an index of inequality  in some districts or cites in Banten. In the process of identification the inequality level among the districts in Banten province, the government usually analyze the case by using manual calculations to determine the policy that should be taken in addressing the inequality that occur in those districts. This process takes quite a long time to take the policy in structuring regional areas. In determining the area of inequality, the government requires Gross Regional Domestic Product (GRDP) data and the data of the population which can be calculated by using several inequality area methods. The method that often used is the Shift Share, Index Gain, Williamson Index and Klassen Typology. In some cases, Williamson index is often used in calculating the inequality between regions or territories. Several studies that had used Williamason index in identifying inequality development usually used the data analysis without particular tools such as software. It complicates the process of inequality analysis if the amount of the data is quite big. Therefore, this study aims to develop the software as a supporting tool for the identification of inequality development using Williamson index. The application is based-website to make it easier for the identification process.
Co-Authors Agus Sriyanto Agus Wedi Albar, Madha Mahesa Ali, Mukti Anam, M. Masrul Arianis Chan Asisah, Nila Astiti, Indita Wilujeng Awliya Tribhuwana Aziza, Riki Rokhmatul Azizah, Faizatul Bakti, Andi M. Faisal Bambang Hermanto Cyintia Kumalasari Dadang Purnama Darpito, Dhanesworo Darwis Muhdina Deasy Silvya Sari Dede Suleman DELVIRA, WIWIEK Elisa, Dina Faizun, Ahmad Fanny Rachmawati Fatah, Vera Fauziah Fatha, Sri Mayang Fitriana, Lintang Ayu Fitriani, Dena Ginting, Dio Frastia Harsiti Harsiti Harsiti, Harsiti Hay's, Riyan Naufal Herwan Abdul Muhyi Hidayat, Tubagus Rachmat Hikmawati, Ari Husain Husain Iwan Sukoco Jajang Sauman Hamdani Jusup, Ravi Prianka Karimah, Lutfiatul Khaerul, Khaerul Umam Khasanah, Silvi Nur Kudus Zaini, Abdul Kurniya Khurotin, Laila Kusumiyati , Kusumiyati Larasati, Mayang Galuh lauryn, maya selvia Lina Erlina Linda Kurniawati, Linda Mahmud, M. Nasir Mansoer, Masri Martayadi, Uwi Maryam, Hilyah Sa’adah Ma’mun, Sukron Merdikawati, Lulu Mokodenseho, Sabil Mundzir, Muhammad Muryati Muryati Muslimah, Fauziah Mutiara, Arla Triza Muttaqin, Azka Na'imah, Elvi Nadia, Matsna Afwi Nafiza, Azka Zahro Nasuki, Hamid Nurhayatmi, Elis Nurrohmah, Syifa Ohan Farhan Purwanto Purwanto Purwanto Rahman Rahman Ramadhan, Rafy Ratih Purbasari, Ratih Ratna Meisa Dai, Ratna Meisa Razak, Yusron Razaq, Abdul Rahim Reni Haerani Rizki Damayanti, Rizki Rukman Rukman Sarib, Suprijati Sesinawati, Hana Mulya Setiawan Setiawan Siti Rohmah Sri Budi Cantika Yuli Sri Puguh Kristiyawati Srihartini, Ela Sugiyarta, Ahmad Suhal Kusairi Suhendar, Akip Sukmadewi, Rani Sunarko, Asep Supiandi, Supiandi Tetty Herawaty, Tetty Ulfa , Maria Wahyu Gunawan Witdiawati Witdiawati, Witdiawati Wulandari, Isma Ayu Z, Desmaniarti Zahra, Alisa