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All Journal Jurnal Teknik Industri Terintegrasi (JUTIN) KOLONI Journal of Engineering Science and Technology Management
Musridho, R. Joko
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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SISTEM APLIKASI PEMESANAN BIBIT IKAN BERBASIS WEB (DESIGN) Studi Kasus (Kabupaten Kampar) Iqbal, Muhammad; Azriadi, Emon; Musridho, R. Joko
KOLONI Vol. 1 No. 1 (2022): MARET 2022
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v1i1.21

Abstract

The online marketplace can make it easier for fish breeding businesses to promote products and make it easier for consumers to get information about the products owned by the breeder. Limitations of product marketing are an obstacle for a fish breeder in increasing sales, moreover, manual reporting harms fish breeder by recording sales reports, so that sales and inventory reports are obstructed.The purpose of this research is to create an e-commerce-based online sales website that can be accessed online. The method used by the researcher in this research is the waterfall method. This method is used by researchers to build a software sistem by having a software flow starting with sistems engineering, analysis, design, coding, testing, and maintenance. The sistem design uses Unified Modeling Language, PHP programming language, and MySQL database.This research is conducted on a web-based online sales application that provides real-time inventory information, sales reports, inventory reports, fish seed production annual report and sellers can promote the products they sell by fish farmers in kampar district. Because of the process of reporting and checking inventory, the information can be carried out correctly and the seller's marketing reach can be wider so that it can increase income for fish breeding farmers in Riau Province especially in the district of Kampar. Keywords: fish breeder, e-commerce, website, php, mysql
Service Performance Analysis Using Fault Tree Analysis (FTA) at the Investment and One-Stop Integrated Services Office (Case Study in Kampar Regency) Muliani, Kurnia; Azriadi, Emon; Musridho, R. Joko
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 2 (2025): September 2025
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v5i2.299

Abstract

High-quality public service performance is highly needed. However, the Investment and One- Stop Integrated Services Agency (DPMPTSP) of Kampar Regency faces challenges in the form of low service speed, as seen from the results of the 2023 Community Satisfaction Survey (SKM). This study aims to analyze the causes of delays in environmental permit services at the DPMPTSP of Kampar Regency using the Fault Tree Analysis (FTA) method. FTA is used to identify the root causes of failure and the logical relationship between the existing factors. Data was collected through interviews with officials from the DPMPTSP and the Environmental Agency (DLH) of Kampar Regency, as well as document studies. The results of the study show that the delays are caused by three main factors: (1) business actor factors, (2) Technical Regional Apparatus Organization (OPD) factors, and (3) internal DPMPTSP factors. The FTA analysis highlights that business actor factors, such as a lack of knowledge and slow feedback, are the most dominant root cause of the problem. Increased collaboration between business actors and relevant OPDs is needed to accelerate the permit process and improve community satisfaction.
Impurity-Based Important Features for feature selection in Recursive Feature Elimination for Stock Price Forecasting: Fitur Penting Berbasis Impurity untuk pemilihan fitur dalam Recursive Feature Elimination untuk Peramalan Harga Saham Priyatno, Arif Mudi; Sudirman, Wahyu Febri; Musridho, R. Joko; Amalia, Fazilla
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 6 No. 4 (2023): Oktober
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v6i4.17726

Abstract

Stock investors perform stock price forecasting based on technical indicators and historical stock prices. The large number of technical indicators and historical data often leads to overfitting and ambiguity in forecasting using machine learning. In this paper, we proposed a feature selection approach using impurity-based important features in recursive feature elimination for stock price forecasting. The data utilized includes historical data and various moving averages. Feature selection is employed to reduce the number of features and obtain important and relevant features. The recursive feature elimination with impurity-based important features is utilized as the feature selection method. The machine learning methods employed are linear regression, support vector regression, multi-layer perceptron regression, and random forest regression. The measurement results of mean squared error (mse), root mean squared error (rmse), mean absolute error (mae), and mean absolute percentage error (mape) show that the optimal feature selection and machine learning method is achieved with six features and linear regression. The average mse, rmse, mae, and mape values are 0.000279, 0.016577, 0.012843, and 1.42236%, respectively. These results validate the effectiveness of impurity-based important features for feature selection in recursive feature elimination using historical data and various moving averages in stock price forecasting.
Co-Authors Amalia, Fazilla Arif Mudi Priyatno Emon Azriadi Muhammad Iqbal Muliani, Kurnia Sudirman, Wahyu Febri