Manual monitoring of oil well performance has limitations in efficiency and accuracy when dealing with field condition changes. This study applies the Random Forest algorithm to build a well performance classification model based on historical data. The dataset consists of 259,923 records from well compliance tests in the X Field of WK Rokan, containing technical parameters such as total oil, f…
Suboptimal raw material inventory management and imprecise marketing strategies have become major challenges for Coffee Shop Terakota in Indragiri Hulu Regency. This study aims to analyze consumer purchase patterns to provide recommendations for products that are frequently bought together. The results of this analysis are expected to assist management in maintaining optimal raw material stock …
The growth of electricity energy consumption continues to increase every year, requiring a reliable prediction system to support effective energy planning and management. This research aims to predict electricity consumption in Riau Province using the Long Short-Term Memory (LSTM) method with deep learning algorithms and to determine the accuracy of this method in predicting electricity demand.…
Rubber plantations play a vital role in the economy of Riau Province; however, rubber production is often influenced by various factors such as climate, government policies, and market conditions. This study aims to develop a rubber production prediction system for the regencies and cities in Riau Province using the Support Vector Regression (SVR) algorithm. The data used in this research is se…
Increasing yields without expanding planting areas is a challenge in oil palm plantations, which can be achieved through the development of superior varieties. One approach is to build a predictive model based on gene expression data, which reflects important genetic activities in regulating physiological processes, such as growth and fruit formation. Currently, there are 388 oil palm plants wh…
Small and Medium Enterprises (SMEs) play an important role in Indonesia's economy but still face various challenges in business development. To address these issues, the government, through the PLUT-KUMKM program, provides mentoring services for SME actors. This study aims to measure the success of PLUT-KUMKM partners using the Decision Tree J48 algorithm. The model was developed based on attri…
Information system security and information technology applied at PT. Garuda Cyber Indonesia has not been running well or even does not exist, because GCI works in the field of technology, of course, there are many risk factors there, one of the crucial things in security disturbances or cybercrime. This study aims to determine the results of risk security management analysis in SI/IT and provi…
Employee Performance Assessment is one of the important aspects to manage Human Resources at PT. Baja Diva Manufaktur Pekanbaru in order to determine employee salary levels. So far, employee salary determination is still done manually so that the company still has difficulty in deciding the amount of salary that is appropriate for employees. The purpose of this research is to overcome this prob…
Information technology plays a critical role in transforming higher education services from non-digital to digital formats. At Universitas Riau, UPT TIK is responsible for managing various online application services across the rectorate, faculties, and institutional units. The main problem faced by UPT TIK UNRI is the failure to meet a 2024 strategic objective: the implementation of governance…
High stock price volatility in Indonesia's infrastructure and energy sectors poses challenges in predicting price movements. This study aims to implement and compare the accuracy of K-Nearest Neighbors (KNN) machine learning model and Long Short-Term Memory (LSTM) deep learning model in predicting stock prices in these sectors. The research stages include data preprocessing, model training, eva…
High stock price volatility in Indonesia's infrastructure and energy sectors poses challenges in predicting price movements. This study aims to implement and compare the accuracy of K-Nearest Neighbors (KNN) machine learning model and Long Short-Term Memory (LSTM) deep learning model in predicting stock prices in these sectors. The research stages include data preprocessing, model training, eva…
IndiHome and IndiBiz faced challenges in customizing service offerings. Inappropriate marketing strategies lead to missed sales targets and the increasing amount of data makes manual monitoring ineffective. In the face of these challenges, advances in Deep Learning technology support the automation of various computer vision tasks, including recognizing digital objects. This research applies Co…
Indonesia is an agricultural country with a horticultural sector that contributes significantly to the national economy. One of the leading commodities is pineapple (Ananas comosus L. Merr.) which has great potential as an export commodity. However, pineapple production faces the challenge of pest and disease attacks that can reduce the quality and quantity of yields. To overcome this problem, …
Animal husbandry in Indonesia especially native broiler chickens continues to grow rapidly in line with the increasing demand for nutritious food consumption. The selection of optimal native broiler chickens is a challenge for farmers because many factors need to be taken into account. This research aims to develop a web-based decision support system using the Technique for Order Preference by …
Hospital Management Information System (SIMRS) is an application that supports various essential processes in the operational services of Bhayangkara Hospital Pekanbaru. However, in its implementation, SIMRS still faces various issues such as server downtime and network connection disruptions. These issues have not been addressed in a structured manner due to the absence of specific documentati…
This research analyzes the attendance levels of lecturers at FMIPA Universitas Riau using the K-Means algorithm. Lecturer attendance data for the 2021/2022 and 2022/2023 academic years, involving 124 lecturers, were obtained from the FMIPA UNRI Dean’s Office. In this study, the K-Means algorithm was employed to cluster lecturer attendance data, with the optimal number of clusters determined u…
Traffic accidents are a serious issue in Pekanbaru City, affecting public safety and well-being. This study aims to classify the causes of traffic accidents using the K- Means Clustering algorithm based on accident data from Riau Regional Police (POLDA Riau) for the period 2021–2023. The clustering process uses Euclidean distance to measure the closeness of data points to each cluster’s cen…
The rapid advancement of information technology had encouraged organizations, including government agencies, to design well-directed information system strategies to optimally support business processes and public services. Strategic planning of information system at Diskominfotik of Riau Province used the Tozer Method, supported by analytical tools such as SWOT, PEST, Value Chain, CSF, and McF…
Increased industrial, transportation, and other anthropogenic activities have led to high emissions of air pollutants that have a significant impact on public health and the environment, especially in big cities such as Pekanbaru. This study implements the K-Means++ algorithm in clustering air pollutants in Pekanbaru City to obtain information on important patterns of the clusters formed. The d…
Electricity demand continues to increase every year, necessitating a reliable prediction system to support effective energy planning and management. This study aims to predict customer electricity demand, particularly in the residential sector in Duri City, using the Artificial Neural Network (ANN) method with the Backpropagation algorithm, and to determine the accuracy of this method in predic…