Abstract:Sales forecasting is a crucial component of operational strategy and inventory management in the culinary industry, particularly for businesses dealing with raw materials that have short shelf lives. The Sate Padang Hapis…
s business faces the challenge of unpredictable monthly fluctuations in consumer demand, which often lead to supply imbalances, overproduction, or lost profit opportunities due to stockouts. This study aims to implement and analyze the accuracy of the Single Moving Average (SMA) quantitative forecasting method in predicting Sate Padang Hapis sales volumes for June 2026. Model performance was evaluated by assessing mathematical accuracy across two time-interval variations: 3-month and 5-month moving averages. Projection error rates were rigorously measured using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE) parameters. The analysis reveals that the Single Moving Average model with a 5-month interval yields projections closest to actual data, achieving the lowest error rates (MAD: 28.00; MSE: 1,304.00; MAPE: 2.28%). Implementing this forecasting model provides management with an objective basis for decision-making, enabling the effective and efficient optimization of raw material logistics and supply management.
Abstract:Improper rice stock management in wholesale businesses can lead to shortages or overstock that negatively impact operational efficiency. This study aims to forecast rice stock needs at Warung Grosir Giran using the Weighted…
ted Moving Average method with a weighting of 1:2:3, based on historical data from January 2025 to June 2026. A quantitative approach with time series forecasting technique was applied. Accuracy was evaluated using Mean Absolute Deviation, Mean Squared Error, and Mean Absolute Percentage Error. The results show that the forecasted rice stock requirement for July 2026 is 1,456.67 kg. The accuracy evaluation yielded a Mean Absolute Deviation of 78.22, Mean Squared Error of 9,288.15, and Mean Absolute Percentage Error of 5.71%, which is classified as highly accurate. In conclusion, the Weighted Moving Average method is suitable as a decision-support tool for rice stock management at Warung Grosir Giran.
Abstract:This study discusses the implementation of a web-based student e-attendance system at Baitussalam Islamic Boarding School using the Scrum method. This system was developed to replace manual attendance recording, which is…
inefficient, error-prone, and complicates the reporting process. The application of the Scrum method aims to ensure that the system development is structured, adaptive to change, and meets user needs. The e-attendance system has key features including multi-level authentication (admin, teacher, and principal), data management for students, teachers, classes, subjects, teaching schedules, semesters, attendance processes, reporting, and teacher performance monitoring. Testing was conducted using the blackbox testing method on eleven main modules. The test results showed that all system functions ran well without major errors. The system has been proven to improve the efficiency, accuracy, and transparency of attendance recording, as well as facilitate reporting. However, the system still has limitations, such as dependence on an internet connection and lack of integration with other systems.
Abstract:Technological advances support digital transformation in sales data management. Wan Toys & Sport stores face difficulty understanding sales patterns, such as the highest sales months and most popular products. This research…
rch uses the K-Means clustering method with the CRISP-DM approach to group sports products based on their sales level. The analysis results show that this method is able to divide products into three categories: high, medium and low, thus providing strategic insight for stock management and marketing. Products with high sales are prioritized for stock, while products with low sales are targeted for promotion. This method effectively supports operational efficiency and data-based decision making at Wan Toys & Sport stores.
Abstract:This research is motivated by the large number of prospective students who simply choose a major when they want to enter a vocational school without considering their abilities. The Decision Tree or C45 method is used because…
cause it is able to make decision trees that are easy to describe, and has a level of efficiency in handling discrete and numeric attribute data. While the Naive Bayes method is used because it has a high accuracy of results. This research was conducted based on data from students of SMK Muhammadiyah 10 Kisaran which contained questions about feelings of wrong majors, interests, and determinants of other majors. Data is divided into 2 labels, namely free labels (y) and bound labels (x). Followed by dividing the dataset into training data and testing data with a ratio of 70:30 in both methods to get the level of accuracy. From the results given, it can be seen that the C45 algorithm has an accuracy of 85% and the Naive Bayes algorithm has an accuracy of 26%. This shows that the C45 algorithm is more effective in classifying the available datasets compared to the Naive Bayes.
Abstract:Everbright has become one of the distributing companies selling various products, one of which is the Dettol product. In optimizing the stock and marketing of Dettol products, the company faces difficulties in identifying…
g the best-selling products and those less favored by customers. This research data originates from the sales transaction data of Dettol soap in November, comprising 77 sales data. Through the use of data mining, particularly the K-means Clustering method, it becomes a relevant approach to solving this issue. The objective of this research is to avoid excess inventory that remains unsold while meeting the diverse needs of customers. The results of this study show the visualization of the distribution of Dettol soap product clusters and grouping based on sales levels. There were 21 best-selling item data, 31 well-selling item data, and 25 less popular item data, enabling the company to manage inventory based on the best-selling items.
Abstract:The use of smartphones in Indonesia has been steadily increasing each year. In the era of the Fourth Industrial Revolution, smartphones have become a lucrative business sector, leading to intense market competition. Consequently,…
equently, smartphone companies must pay closer attention to the market segmentation desired by consumers. Data mining is the process of discovering significant relationships and patterns by analyzing large datasets using statistical and mathematical techniques. This study aims to identify and analyze the market segments of Android smartphone users among students at STMIK Royal. The data used in this research were collected from 122 student respondents. The study employs clustering using the K-means algorithm. The resulting data modeling will categorize market segments into several clusters. This segmentation yields three clusters: Cluster 1 (features), consisting of 36 respondents who prioritize price, battery, camera, and warranty; Cluster 2 (product), with 49 respondents who value all attributes except warranty; and Cluster 3 (superiority), comprising 37 respondents who prioritize camera, brand, and RAM.
Abstract:Citra Teluk Sibayan Hot Springs is the first geothermal hot spring in Batubara Regency. The hot spring has gained recognition among the public and faces challenges in managing its canteen and lodges. The community service…
e program aims to enhance service quality through digital transformation. The initiative is based on the need to improve operational efficiency and visitor satisfaction through technology. The method of the program consists of three phases: first, a needs analysis and design of a digital system for food ordering and lodge management. Second, the implementation of technology, including the development of an application, integration of a payment system, and installation of hardware. Third, staff training to ensure effective use of the system. The initial results of the program show improved record-keeping of canteen sales and visitor satisfaction. The digital payment system accelerates transactions, reduces errors, and streamlines sales tracking. Positive feedback from visitors and staff indicates a better experience and the potential for increased revenue. This program is expected to serve as a successful model for the application of digital technology in managing tourism facilities.
Abstract:Online learning uses the internet network during the learning process, making it easier for students to access material and facilitating interaction with lecturers and other students. The aim of this research is to understand…
stand the impact of online learning on the interest and learning outcomes of Basic Mathematics for Civil Engineering students. The population of this research is first semester Civil Engineering students T.A. 2021/2022 totaling 30 people. The methods used to understand the impact of online learning on the interests and learning outcomes of Basic Mathematics for Civil Engineering students are qualitative and quantitative methods. The r test results show that rcount > rtable or 0.9998 > 0.306. This means that online learning influences students' interest in learning Basic Mathematics in the Civil Engineering Study Program. The results of the t test show that tcount ≥ ttable is 4.01 ≥ 2.045 so that online learning also influences the Basic Mathematics learning outcomes of Civil Engineering Study Program students. Students' ability to answer test questions during online learning was 76.67%.
Abstract:Diagnostic assessment tests for students entering elementary school were conducted once, focusing solely on letter reading. However, teachers did not assess syllable, word, paragraph, or reading comprehension, leading to…
ongoing issues in early reading ability among students. This study aimed to describe the early reading ability of the first-grade students at SDN 014 Tarakan through diagnostic assessment in terms of five key aspects: reading letters, reading syllables, reading words, reading paragraphs, and comprehending information from reading. A qualitative descriptive approach was employed in this study. Data were collected through interviews, observations, and documentation. The findings revealed that in the letter reading aspect, 34 out of 55 students were fluent, while 21 were not. In the syllable reading aspect, 27 students were fluent, and 28 were not. In the word reading aspect, 21 students read fluently, while 34 did not. In the paragraph reading aspect, 15 students read fluently, and 40 struggled. In the comprehension aspect, 16 students could understand the content, whereas 39 had difficulties with comprehension. The study also identified several challenges faced by students with reading difficulties. These included poor memorization of letter shapes, frequent errors such as changing, omitting, or misplacing letters, difficulty with long words, limited vocabulary, and lack of concentration while reading.