Abstract:Cultural Heritage in Lingga Regency is spread in several areas, which requires attention. The Cultural Heritage is managed by the Lingga Regency Cultural Office by involving programs, activities sub-activities and at the…
same time coordinating with other related parties to succeed the management of Cultural Heritage in Lingga Regency. The purpose of this study is to analyze the Governance of Cultural Heritage in Lingga Regency using the theory of governance from Widyananda (2008) with four indicators. The method used is qualitative descriptive with 10 informants and uses data collection techniques and tools in the form of observation, interviews, and documentation. The results of the study found that in the management of Cultural Heritage in Lingga Regency that the Cultural Office involved related parties, namely the Cultural Preservation Agency, cultural activists and regional and provincial apparatus organizations to succeed in management, in its management the Lingga Regency Cultural Office encountered problems regarding geographical location, lack of budget and weak human resources owned, knowing this, the Cultural Office carries out policies to overcome these problems by submitting proposals to the National Research and Development Agency for Culture, collaborating with other related agencies and by conducting routine mutual assistance to Cultural Heritage. In the process of Cultural Heritage Governance in Lingga Regency, it can be said that there is less role in technology in the media social sector.
Keywords: Lingga Regency, Governance, Cultural Heritage
Abstract:Technology is developing very rapidly and continues to change from year to year. Therefore, the latest digital marketing trends will continue to emerge which are adapted to the conditions and situations of that year, but…
there are still some groups of people who do not understand the importance of digital trends, because competition for marketplaces or online shopping sites in Indonesia is currently getting tighter, the competition that is happening is not only from domestic shopping sites but also foreign ones that have entered the domestic market. This research aims to analyze the influence of satisfaction, trust and ease of use on customer loyalty in the Shopee marketplace in Dwikora sub-district, Medan Helvetia sub-district. This type of quantitative research with the independent variables used in this research is satisfaction, trust and ease of use and the dependent variable used is customer loyalty. The population used in this research is all people in Medan Helvetia sub-district. This research took samples using a purposive sampling method and there were 100 respondents who were deemed worthy of being research criteria. The research results show that partially and simultaneously satisfaction, trust and ease of use have a significant positive effect on customer loyalty.
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:Signal interference or noise is one of the main problems in data transmission that can reduce information quality in both analog and digital systems. This study aims to visually analyze the effects of noise using audio software.…
oftware. The method used is simulation-based, where a pure signal is used as an initial reference before being subjected to various levels of interference. The analysis results show that in analog signals, noise causes permanent waveform distortion that is difficult to recover. In contrast, digital signals tend to maintain data integrity as long as the interference does not exceed a certain threshold. These differences in signal characteristics can be visually observed through waveform displays in the software. The results indicate that digital systems have advantages in maintaining signal quality in noisy environments and have the potential to be used as educational media for basic telecommunication and signal processing studies.
Abstract:Bread product sales have become an important aspect of the bakery business, influenced by fluctuations in demand that are not easily predictable. Efficient sales management requires a deep understanding of sales patterns.…
. This study aims to optimize bread product sales by using the K-Means Clustering algorithm to analyze daily sales performance at Toko Roti Amin. The data used includes sales volume and transaction frequency for bread products, consisting of 356 data points. The results show that the bread products can be grouped into three clusters: 129 data in the “Good Sales” cluster, 28 data in the “Moderate Sales” cluster, and 199 data in the “Low Sales” cluster. These findings assist bakery owners in managing stock, production planning, and more targeted marketing strategies. Although there are limitations in using K-Means Clustering, such as dependence on the initial centroid selection, this study proves that applying this technique can enhance inventory management and maximize profit in the bakery business.
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: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:This study aims to analyze the impact of using the mind mapping method on the ability to write procedural texts by utilizing Canva media among 11th-grade students at Air Joman Private High School during the 2023/2024 academic…
demic year. This research employs a true experimental design with a posttest-only control group design, involving 124 students randomly selected to be placed in two classes: the control class and the experimental class. The results indicate that the experimental class, which implemented the mind mapping method with Canva media, had an average score of 81.84, higher than the control class, which only used Canva media without the mind mapping method, with an average score of 74.39. Statistical tests revealed that the mind mapping method had a significant impact on improving procedural text writing skills, with a to value of 106.42, far exceeding the critical t-value at the 5% significance level (2.01) and the 1% significance level (2.68). Therefore, the alternative hypothesis is accepted, demonstrating that the use of the mind mapping method along with Canva media is proven to be effective in enhancing students' ability to write procedural texts.