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: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:Graduation marks the completion of a certain level of schooling. This study aims to predict the graduation of students at SDN 016528 BP Mandoge based on their abilities. The goal of this research is to reduce the rate of…
student failure to graduate by making predictions based on examination scores collected by the institution. The method used in this study is Naive Bayes, a technique in Data Mining that utilizes probability and statistics to predict future outcomes based on previous data. This method was chosen due to its advantage in predicting graduation rates from concrete data, ensuring the results are reliable and applicable for future predictions. The dataset used in this study includes graduation data for SDN 016528 BP Mandoge students for the 2019/2020 academic year, comprising 171 students, with 120 students used for training data and 51 students for testing data, achieving a model accuracy of 98%.
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 Self-Help Housing Stimulant Assistance (BSPS) is a government house renovation program aimed at low-income communities. This program aims to enhance self-sufficiency in construction and improve the quality of houses,…
facilities, infrastructure, and public utilities through the principle of mutual cooperation. BSPS recipients must meet several criteria, such as income, house ownership status, house size, floor type, wall type, roof type, and water source. To address issues based on these criteria, Data Mining techniques using the Naive Bayes method were employed. This study utilized a dataset of BSPS recipients in Air Genting Village, Air Batu Sub-district, comprising 88 samples. The classification results from applying Naive Bayes yielded a precision value of 84%, a recall value of 81%, an F1-score of 82%, and an accuracy of 81%. The objective of this research is to facilitate the classification of eligible and rightful recipients of government assistance in the form of BSPS. The results of this study are expected to provide an alternative solution in determining BSPS recipients in Air Genting Village, Air Batu Sub-district
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:Efficient queue management is a major challenge in public services, including in Cibeunying District. Traditional manual systems often lead to unorganized queues, long waiting times, and public dissatisfaction. This study…
y aims to design and implement a more modern and structured technology-based queue numbering system. The system is designed as a web-based application that allows users to take queue numbers directly on-site or via mobile devices. Additionally, the system is equipped with an automatic call feature, where if a number is not present after two calls, the next number is automatically called. The implementation results show that this system can improve service efficiency, reduce waiting times, and provide a more convenient experience for the community. With this system, the Cibeunying District can significantly optimize the quality of its public services.
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:Covid-19 is a serious health problem that occurs globally, including in Indonesia. Mathematical modeling is one way to see how the spread of the Covid-19 pandemic is developing. The model used in this study is SVEI1I2R and…
nd its stability will be seen. The article discusses the stability of fixed points using the Jacobian matrix and the Routh-Hurwitz criterion as well as the Castilo-Chaves and Song Theorems, reproduction numbers, and their numerical analysis. The results of the analysis show that the stability of fixed points is related to the basic reproduction number determined by the next-generation matrix, stability analysis in accordance with the theorem and the distribution of the population is shown in a numerical graph.
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.