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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Wikrama Parahita : Jurnal Pengabdian Masyarakat Jurnal Pengembangan Riset dan Observasi Teknik Informatika Journal of Machine Learning and Soft Computing Jurnal Inovasi Penelitian dan Pengabdian Masyarakat Jurnal Keuangan dan Akuntansi Terapan (KUAT) Jurnal Dharmabakti Nagri
Harsiti Harsiti
Universitas Serang Raya
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Social Sciences Other

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Journal : Journal of Machine Learning and Soft Computing

 1 
Prediksi Jumlah Produksi Tempe Kopti Menggunakan Logika Fuzzy Metode Mamdani PRIMKOPTI Serang Andi Irawan; Ibrahim Ajie; Firnando Island R.; Harsiti Harsiti
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.v1i2.1006

Abstract

Capital is one of the problems faced by tempe producers, in each production, tempe producers issue capital that is erratic in order to influence. The level of production of tempeh it produces. In this study we will discuss how the application of fuzzy logic to the variable number of soybeans and the amount of yeast to predict the amount of tempe production. Data analysis was done by the mamdani method to find out the number of tempeh produced by craftsmen. The results of this study are in the form of three variables, namely 95 Kg of soybeans, 70 yeasts of spoonful and 487 pieces of tempe produced.
Intelligent Software for Classification of Regional Inequality in Banten Province Using the Williamson Index Tubagus Rachmat Hidayat; Harsiti Harsiti; Zaenal Muttaqin; Maya Selvia Lauryn
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 | 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 Afif Johan Agus Setyawan Agus Setyawan Ahmad Dedi Jubaedi Ajif Yunizar Pratama Yusuf Andi Irawan Ayu Mira Yunita Erma Perwitasari Firnando Island R. Haris Triono Sigit Ibrahim Ajie Maya Selvia Lauryn Miftachul Choironi Neli Nailul Wardah Rahma Yudhistira Rina Oktaviyanthi, Rina Rosalina, Vidila Tb Ai Munandar Tb Ai Munandar Tb. Ai Munandar Tubagus Rachmat Hidayat Tyastuti Sri Lestari Vidila Rosalina, Vidila Wahyu Oktri Widyarto Yani Sugiyani Zaenal Muttaqin