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All Journal Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB SAINTEK
Hemdani Rahendra Herlianto
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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Sistem Informasi Point of Sales (POS) Pada CV Sedulur Teknik dengan Teknik Menggunakan Metode Agile Hemdani Rahendra Herlianto; Muhammad Chaidir Alam
Prosiding Sains dan Teknologi Vol. 2 No. 1 (2023): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 2 - Februari 2023
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Processing of goods and sales data on CV Sedulur Teknik still uses manual methods, to find out the goods sold and sales transactions must be calculated by means of a bookkeeping system. The calculation of sales turnover must be calculated using a calculation tool such as a calculator because there is no sales system so that some incoming sales data does not match which has an impact on the difference in nominal sales figures and this manual method makes work longer. So a point of sales system was created on CV Sedulur Teknik in order to assist in the transaction process. This sales system uses PHP (Hypertext Preprocessor) as the programming language used, and Mysql as the database used and Xampp to connect the database to the website. The method used is the agile scrum pattern method, scrum itself is a software that is used agile to stand in a team, additional product processes and software development that focuses on speed and is carried out by realizing the final result.
Implementasi Algoritma Naïve Bayes Classifier Sinkronisasi Absensi Dengan Prestasi Akademik Pasraman Taman Dharma Widya Hemdani Rahendra Herlianto; I Gede Krishna Yogananda Raken Putra
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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Data mining is a technique that utilizes large amounts of data to obtain valuable information that was previously unknown and can be used to support important decision-making. In this study, the author attempts to mine customer data from an insurance company to determine whether the customers are categorized as current, less current, or delinquent in their payments. The existing data are analyzed using the Naive Bayes algorithm. Naive Bayes is one of the methods in probabilistic reasoning. The Naive Bayes algorithm aims to classify data into specific classes; the resulting patterns can then be used to predict students’ academic performance based on attendance records, enabling Pasraman Taman Dharma Widya to make appropriate decisions regarding the students.
Analisa Raw Material Untuk Produksi Seng Pasir Merah Dengan Algoritma Regresi Linier (Studi Kasus: Pt. Harapan Sukses Jaya) Hemdani Rahendra Herlianto; Muhammad Amirrullah
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

Zinc is a commonly used roofing material in Indonesia, alongside roof tiles and similar products. In the production of red sand zinc, two types of raw materials are used: **base coat** (base layer) and **top coat** (top layer). This study aims to analyze and process data on excess raw material usage in the production line, warehouse requests, and production reports to predict raw material needs before production begins. The study applies the **Linear Regression Algorithm** in data mining, as it can generate predictions according to existing patterns and integrate raw material usage with production reports. Testing with RapidMiner produced an RMSE of 0.500, categorized as good. The accuracy, calculated using the MAPE formula, was 0.50%, equivalent to 99.5% accuracy. These results indicate that Linear Regression is effective for predicting raw material usage quickly, accurately, and reliably, enabling companies to plan material requirements efficiently and improve production management.
Co-Authors Bhagas Shaib Pramono I Gede Krishna Yogananda Raken Putra Muhammad Amirrullah Muhammad Chaidir Alam Muhammad Richi