Abstract:The diversification of tofu waste into soft tempeh and tempeh starter in Teluk Sentosa Village aims to optimize the utilization of tofu waste while increasing community income. Through participatory training, the community…
ty is taught techniques for processing tofu waste into value-added products. The results indicate that the produced soft tempeh has a tender texture and high nutritional value, while the tempeh starter shows good fermentation activity. Marketing these products has led to a significant income increase of approximately 30% within three months post-training. Additionally, this initiative contributes to waste reduction and enhances community awareness regarding sustainable resource management. It is hoped that this program can continue and provide positive impacts on the economy and environment in the village.
Abstract:Knowing the economic condition of society is important to measure the success of a country's economic development. Per capita income, as the average income received by the population, is an indicator of economic welfare.…
The relationship between per capita income, economic growth, and inflation reflects societal well-being. This study analyzes the impact of per capita income and inflation on economic growth in Indonesia from 1998 to 2023. The aim is to determine the effect of per capita income and inflation on economic growth, both partially and simultaneously. The results of multiple linear regression analysis show that per capita income and inflation significantly affect economic growth. Per capita income has a positive impact, while inflation significantly influences economic growth. This study recommends economic policies that consider the effects of per capita income and inflation to promote sustainable economic growth. The research uses a quantitative method with multiple linear regression analysis, using secondary data from BPS and the World Bank. The variables studied are economic growth (dependent variable), per capita income (independent variable X1), and inflation (independent variable X2). Data were collected from documents and annual reports, with validity from official sources and reliability tested over 26 years. Data analysis shows that independent variables affect the dependent variable by 50.9%. The results indicate that per capita income and inflation significantly influence Indonesia's economic growth. Economic policies should consider these two factors to achieve sustainable economic growth.
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:Education plays an important role in improving the quality of human life, but economic constraints often prevent many students from continuing their education. The Smart Indonesia Program (PIP) was launched to address these…
ese issues by providing educational assistance. However, in its implementation, the selection of PIP recipients at IT Al-Ikhsan Private Junior High School is still inaccurate. This research aims to classify the eligibility of PIP recipients using the Naive Bayes method. This method is applied to student data from the school's Dapodik in 2024 which consists of 265 students. The data is processed through CRISP-DM data mining stages, namely Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. As a result, the Naive Bayes model showed an accuracy of 92.31% with a precision value for the “Yes” class of 89%, recall 100%, and F1-score 94%. In conclusion, variables such as means of transportation, KPS and KIP recipients, parents' income, and distance from home to school affect the eligibility of PIP recipients.
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 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:This research is motivated by the non-optimal management of Village-Owned Enterprises in an effort to increase Village Original Income in Sukajadi Village, Sadananya District, Ciamis Regency. The method used in this research…
arch is qualitative research method. Data collection techniques in this study include literature study, field study (observation and interviews) and documentation. The informants in this study were 6 people. The data analysis technique in this study by means of data reduction, data presentation, conclusions and verification. This study aims to determine the Management of Village-Owned Enterprises on increasing Village Original Income in Sukajadi Village, Sadananya District, Ciamis Regency. The author uses qualitative data analysis techniques through data processing of interview results and observation results to draw conclusions so as to answer the problems in the study. The results showed that the Management of Village-Owned Enterprises in Efforts to Increase Village Original Income in Sukajadi Village, Sadananya Subdistrict, Ciamis Regency is already running, but it is not optimal because problems are still found, including: unprepared cooperation with the private sector, limited number and quality of labor, limited budget for new business development, management training programs that are rare and less than optimal, readiness and skills of BUMDes members in management and administration are still lacking, financial reporting that is not ready to be carried out.
Keywords: Management, BUMDes, Village Original Revenue
Abstract:This research is motivated by the non-optimal management of the Village Market in increasing Village Original Income by the Bentar Village Government, Salem District, Brebes Regency. The method used in this research is qualitative…
ualitative research method. Data collection techniques in this research include literature study, field study (observation and interviews) and documentation. The informants in this study were 7 people. The data analysis technique in this research is by condensing data, presenting data and drawing conclusions. The method used in this research is descriptive analysis. Informants as many as 7 people. Data collection techniques are literature study, field study (observation and interviews) and documentation. The author uses qualitative data analysis techniques through processing data from interviews and observations to draw conclusions so as to answer the problems in the study. The results showed that the Village Market Management strategy in Increasing Village Original Income in Bentar Village, Salem District, Brebes Regency has been running, but it is not optimal because problems are still found including: An incomplete organisational structure and limited facilities and infrastructure. Implementation that is not in accordance with planning and the absence of management training activities. No regular and programmed supervision and evaluation.
Keywords: Strategy, Management, BUMDes, Village Original Revenue, Village Government
Abstract:The aims of this research are: 1) To determine the social impact of nickel mining on the community in Wonuamorome Village, Puriala District, Konawe Regency. 2) To determine the economic impact of nickel mining on the community…
munity in Wonuamorome Village, Puriala District, Konawe Region? The technique used in selecting informants in this research was purposive sampling. The informants selected were key informants, namely the village head and a community figure, as well as additional informants consisting of two company officials, four employees who lived in Wonua Morome Village, and four community members. So the total informants in this investigation were 12 people, and several key informants came from village officials. The emergence of industrial areas in an area is believed to bring positive and negative factors to the lives of people in that area, such as positive social impacts, namely that industry can provide employment opportunities for local residents. The presence of the business world in Wonua Morome Village opens up employment opportunities for the local community. And the negative social aspect is contact with crocodiles which can cause social conflict. The presence of the business world in Wonua Morome Village has led to land conflicts between immigrants and local residents. The positive economic impact is to increase village cash income. The presence of businesses in Wonua Morome Village increases the village's cash income. Negative economic impacts include industrial waste which is dangerous for the environment and pollutes people's agricultural land, causing losses.
Abstract:Cultural-based tourism has become an important strategy for enhancing community welfare while preserving local cultural heritage. Desa Tua in Buleleng Regency, Bali, possesses significant potential through the bamboo weaving…
ving tradition of the Bali Aga community, which holds substantial economic and cultural value. This study aims to analyze community empowerment through the development of tourism based on cultural weaving products, strengthen the bargaining position of local artisans, and examine efforts to maintain a balance between economic benefits and cultural preservation. The study employed a mixed-methods approach with a sequential explanatory design and involved 150 respondents. Data were collected through observation, interviews, documentation, and surveys. The findings reveal that experiential tourism increased average household income by 35% and enhanced women's participation by 42% through their involvement in production activities, training programs, tour guiding, and the management of creative enterprises. Traditional weaving products were successfully developed as the primary tourism attraction, generating greater economic value while preserving cultural integrity through the clear distinction between sacred and commercial products. The utilization of digital media further expanded market access and strengthened product competitiveness. The novelty of this study lies in the development of an integrative model that connects community empowerment, experiential tourism, cultural preservation, women’s empowerment, and digital cultural entrepreneurship as a sustainable strategy for cultural tourism development.