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:PDAM Tirta Kualo is a regional company that supplies clean water to the surrounding community. Accurate estimation of water bill amounts is crucial to assist PDAMs in managing resources and finances efficiently. This study…
dy aims to create a prediction model for total water bills using the linear regression method. The data used is historical customer billing data which is analyzed to identify the relationship between air usage volume and total billing.
The findings show that a simple regression model can describe the water bill amount with an impressive accuracy of 0.9926. This precise model allows it to be used effectively in PDAM financial planning and assists customers in estimating their water usage.
Abstract:This research aims to apply the Naïve Bayes method to determine the eligibility of receiving the Smart Indonesia Program (PIP) at the 017107 Kisaran Naga State Elementary School by analyzing 207 student data. The CRISP-DM…
DM approach was used through six stages: business understanding, data understanding, data preparation, modeling, evaluation, and implementation. The variables analyzed included means of transportation, KPS and KIP recipients, worth a pip, reasons for eligibility, number of siblings, distance from home to school, and parents' income.
The results showed that this method achieved 89% accuracy, 85% precision for the positive class, and 92% for the negative class. A total of 125 students (59.9%) were declared eligible to receive assistance, while 82 students (40.1%) did not meet the criteria. The Naïve Bayes method is effective in supporting decision-making for the provision of targeted educational assistance
Abstract:The development of information technology provides solutions for increasing efficiency and accuracy in decision-making, such as in determining students eligible for BLT at SD Swasta IT ABI Husni. This study aims to implement…
ment the Naive Bayes algorithm to support a more objective BLT recipient selection process. The method used is CRISP-DM, starting from understanding the problem, data preparation, to model implementation. The data analyzed included type of residence, KPS recipients, parents' income, KIP recipients, number of siblings, distance from home and reasons for eligibility for BLT used were data from students of SD Swasta IT ABI Husni in the odd semester of 2024/2025, with a total of 137 data. The results of the study showed that the Naive Bayes algorithm was able to achieve an accuracy level of 98% with precision and recall of up to 100%, proving the effectiveness of the model in minimizing classification errors. In conclusion, the use of the Naive Bayes algorithm can help make decisions that are more targeted, transparent, and fair in the distribution of BLT.
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: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:The advancement of information technology has influenced human perspectives and lifestyles, as well as organizational operations. RT/RW Net provides a cost-effective solution for delivering internet network services, especially…
ecially in areas that are difficult to reach by conventional internet networks, such as Dusun VI Persaguan, Desa Aek Nagali. The development of RT/RW Net networks involves underlying factors and methods used for its implementation. This network development employs Mikrotik for network access and bandwidth management, requiring equipment such as FO cables for network transmission, routers as network transmitters, and towers as supports for devices capturing the central network. The stages of developing the RT/RW Net network in Dusun VI Persaguan, Desa Aek Nagali include: determining the network access area from the RT Net server location, identifying the necessary equipment, configuring Mikrotik, and testing the implemented network.
Abstract:The use of technology in education has become a necessity to improve the performance and effectiveness of the teaching and learning process. This article aims to explore the utilization of Google Tools by teachers at Brainfor…
infor Kindergarten School to enhance their performance. The methods used include observation and interviews with teachers as well as analysis of the use of Google tools such as Google Classroom, Google Drive, and Google Meet. The results of this study indicate that the use of Google Tools can improve efficiency in lesson planning, task management, and communication between teachers and parents. Additionally, Google Tools assist in the professional development of teachers by providing easier access to resources and online training. Therefore, the implementation of this technology is expected to be continuously supported and developed to enhance the quality of education at Brainfor Kindergarten School
Abstract:The purpose of this research is to determine the effect of using the Group Investigation model on the ability to write book reviews at XIth Class of SMK Taman Siswa Suka Damai. The population in this study are all XIth class…
lass students, totaling 127 students. The sample in this research is XIth class Accounting which are taken using a simple random sampling technique totaling 22 students. The data collection technique uses a performance test in writing a book review. Based on the research results, at the pretest the average score obtained was 66.1 and at the posttest 90.31. The significant value obtained is greater than ttable, namely tcount > ttable, namely 80.7>1.68 and 80.7>2.41. This proves that Ho is rejected and Ha is accepted, namely that there is a significant influence from the use of the Group Investigation model on the ability to write book reviews in class.
Abstract:The aim of this study is to assess whether the application of the three-step interview method affects the ability to write observation report texts among 10th-grade students at Madrasah Aliyah Swasta Al-Washliyah Binjai…
Serbangan. This research is an experimental study using a posttest-only design. The population consists of three 10th-grade classes, with two classes selected as samples: X IPA 1 and X Agama, chosen randomly using simple random sampling. The X Agama class was taught using the three-step interview method, while the X IPA 1 class served as the control group with conventional teaching methods. After the completion of the instruction, the post-test results showed an average score of 87.5 for the experimental class and 61.29 for the control class. The t-test results revealed a Thitung value of 79.15, exceeding the Ttabel value of 2.00, which means the null hypothesis (H0) can be rejected and the alternative hypothesis (Ha) accepted. This indicates that the three-step interview method has a significant effect on the ability to write observation report texts among 10th-grade students at Madrasah Aliyah Swasta Al-Washliyah Binjai Serbangan.