Abstract:The scarcity of petroleum resources or other fuel sources encourages efforts to find alternative energy, namely Bioethanol. Alternative raw materials that can be utilised in the manufacture of bioethanol from biomass are…
re pineapple crowns. Making Bioethanol from Pineapple Fruit Crown Cayane Variety by Using Saccharomyces cerevisiae Microbes is by varying the weight of yeast and the optimum fermentation time on the level of bioethanol produced. In this study using NaOH 1.5%w to degrade the lignin content in the crown of pineapple varieties cayane and H2SO4 2%v to convert cellulose into glucose. The research used variations in yeast weight of 7.5%; 10%; 12.5%w and variations in fermentation time of 2; 3; 4; 5 days in the fermentation process. While the purification process uses simple distillation with operating conditions 78oC-80oC for 2.5 -4 hours. Bioethanol obtained was tested for refractive index and gask romatography (GC). The test results obtained the optimum weight of yeast is 12.5 grams at 3 days fermentation time with bioethanol content of 6.154%.
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: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 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: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: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:This study examines the role of leadership style in enhancing the work motivation of Civil Servants (Aparatur Sipil Negara/ASN) at the General Bureau of the Regional Secretariat of South Papua Province. The study is theoretically…
retically grounded in Amirullah’s (2017) leadership framework, which emphasizes leader–member relations, task structure, and position power, and Sariani’s (2020) motivation theory, focusing on educational background, personal expectations, and job satisfaction. A qualitative descriptive approach was employed to capture in-depth perspectives on leadership practices and motivational dynamics within a newly established provincial government organization. Data were collected through observations, in-depth interviews, and document analysis. A total of 22 informants, comprising senior officials, section heads, and staff members, were purposively selected based on their institutional roles and direct involvement in organizational processes. The findings indicate that leadership style significantly influences employees’ work motivation. Effective leadership is reflected in open and transparent communication, participatory decision-making, clear task delegation, consistent supervision, and fair recognition of employee performance. Moreover, job satisfaction, clarity of work roles, coordination across organizational units, availability of work facilities, and opportunities for capacity building emerged as critical supporting factors in sustaining motivation. The study concludes that a communicative, participative, and supportive leadership style is essential for strengthening work motivation and improving organizational effectiveness in public sector institutions, particularly within developing regional government contexts.
Abstract:E-KTP is one of the innovations in population administration services based on electronics. This study aims to analyze the application of electronic-based identity card (E-KTP) making services. The method used is a qualitative…
tative method. Data collection techniques through interviews, observations, and documentation. Meanwhile, data analysis uses: data reduction, data presentation, and conclusion drawn. Based on the results of the study, it shows that the service of making an electronic-based identity card (E-KTP) at the Merauke Regency Population and Civil Registration Office has not been maximized in its application. This can be seen from: The creativity of employees in working has been good but has not been maximized, often running out of money in making digital ID cards. The agency has not been able to protect the need for ID card blanks. The new innovation developed, namely the digital population system, is transformed into a smartphone for each individual. . The responsiveness carried out in anticipating every form of change that occurs, both in terms of policies, laws, and community demands in the service of making ID cards at the population and civil registry offices has been running well.
Abstract:Abstract Women's representation in parliament is an important indicator in realising gender equality and inclusive democracy. To support this, Indonesia has adopted a 30% quota policy for women in legislative candidacy since…
since the 2004 elections. This policy aims to increase women's participation in politics and ensure women's voices are represented in decision-making. However, even though this policy has been implemented, women's representation in parliament is still far from the expected target. In the 2019 elections, women's representation in the People's Representative Council (DPR) only reached 20.5%. This research analyses the implementation and effectiveness of gender quota policies in Indonesia using a qualitative approach. Findings show that the main obstacles to implementing gender quotas include the dominance of patriarchal culture, lack of support from political parties, discrimination against female candidates, and weak supervision and law enforcement. On the other hand, this policy has made a positive contribution in the form of increasing the number of women elected as legislative members, although this contribution is still limited. In conclusion, the effectiveness of the 30% quota policy for women in parliament requires strengthening commitment from various parties, including political parties, society, and election management institutions. Research recommendations include strengthening the capacity of female candidates, increasing supervision of quota implementation, as well as wider outreach about the importance of women's representation in politics. With these steps, it is hoped that gender equality in parliament can be achieved better in the future.
Keywords:, women's representation, parliament, politics, Indonesia.