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All Journal Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) SAINTEK
Zaenur Rozikin
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Industrial & Manufacturing Engineering

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Pengembangan Sistem Informasi Laporan Produksi Berbasis Web Menggunakan Metode Rapid Application Development (RAD) Pada PT. Nichias Metalwork Indonesia Zaenur Rozikin; Edi Hotman Sijabat
Prosiding Sains dan Teknologi Vol. 3 No. 1 (2024): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 3 - Januari 2024
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

In general, production management consists of several functions in which management experts give their respective opinions. From the problems that exist in PT. Nichias Metalwork Indonesia in production, the process of inputting production report data still uses sheets of paper which are done manually and then collected at the supervisor's desk, and hinders the process of inputting data by the admin, because the admin has to take the report sheets that are on the supervisor's desk. The method used in this study is the Rapid Application Development (RAD) method. The Rapid Application Development method is a software development method that emphasizes development in a short time and uses iterative (repetitive) methods where the working model is constructed at the early stages of development to determine user requirements. In making the production report system the author uses the PHP Programming Language and MySQL database. The purpose of this study is to design and build a production reporting information system to make it easier to check and input goods to minimize the difference in production inventory and speed up the process of inputting and reporting production at PT. Nichias Metalwork Indonesia
Penggunaan Naïve Bayes Dalam Implementasi Prediksi Tingkat Curah Hujan Zaenur Rozikin; Irma Nurmaulida
Prosiding Sains dan Teknologi Vol. 3 No. 1 (2024): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 3 - Januari 2024
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Precipitation forecasting has been one of the most challenging scientific and technological problems worldwide in the last century. Rain is an event where water drops fall from the sky to the surface of the earth. Rain is also the water cycle on planet earth. Another definition of rain is an event of precipitation (the fall of liquid originating from the atmosphere that is liquid or frozen to the earth's surface) in the form of liquid. Rain requires the presence of a thick layer of the atmosphere in order to meet temperatures above the melting point of ice near and above the surface of the Earth. Throughout the year, rainfall has an erratic pattern making it difficult to predict manually. The amount of rainfall that is large enough cannot be determined with certainty, but this can be estimated. Thus, data mining allows machines to recognize and study complex data patterns. Therefore machine learning can study patterns of rainfall data to make predictions, so a rainfall prediction study was carried out using the Naïve Bayes method and the data used in this study is data taken from the official BMKG Indonesia website which can be accessed by all groups, both among children, adolescents, adults and even parents.
Co-Authors Antika Zahrotul Kamalia Choiriyatun Nisa Latansa Edi Hotman Sijabat Irma Nurmaulida Ravansa Rahman Santosa Sinta Ayu Lestari