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The distribution of social assistance in Indonesia faces challenges such as inaccurate recipient data, overlapping programs, and limitations of traditional data management systems that lead to inaccurate targeting of aid. This study proposes a social assistance distribution optimization system using the Greedy algorithm that assesses recipient priorities based on economic conditions, number of family members, location, and urgency of needs with certain weights to produce objective rankings. This system is implemented in a JavaScript-based web application without external frameworks, making it lightweight and easily accessible. Simulations with 20 prospective recipients and a quota of 10 slots and validation with a dataset of 10,000 entries show that the Greedy algorithm produces identical results to Dynamic Programming but is much faster (669 times faster). In terms of complexity, this algorithm has O(n log n) time and O(n) space, and meets the requirements of the Greedy Choice Property and Optimal Substructure, making it a practical and efficient solution for managing large-scale social assistance distribution in Indonesia.

The Ten Scholars per Village Scholarship Program is a policy of the Government of Bojonegoro Regency aimed at improving access to and equity in higher education for rural communities through tuition fee (UKT) assistance. This study aims to analyze the effectiveness of the program implementation in Kepohbaru District using a descriptive qualitative approach and five effectiveness indicators proposed by Campbell J.P., namely program success, target achievement, satisfaction with the program, input and output levels, and goal attainment. Data were collected through interviews, observations, and documentation involving the Education Office, sub-district and village governments, scholarship recipient students, and the parents of scholarship recipients as informants. Data analysis was conducted based on Sugiyono’s model, including data reduction, data display, and conclusion drawing/verification, with validity tested through triangulation. The results show that the program has been implemented sustainably and contributes to supporting the continuity of higher education for rural students. Target achievement has been administratively fulfilled, although equity and quota distribution remain challenges. The level of satisfaction among recipients and parents is relatively good; however, there are still obstacles related to information dissemination and administrative processes. In terms of input and output indicators, the program is considered fairly effective as it consistently distributes financial assistance. Overall, the program is fairly effective in increasing access to and continuity of higher education, although improvements are still needed in terms of equity and implementation quality.

KIP Kuliah is a government-funded educational assistance program aimed at high school (SMA) graduates or equivalent who demonstrate strong academic potential but face economic constraints. This program is expected to expand access to higher education and help students complete their studies on time without being burdened by financial concerns. However, the effectiveness of KIP Kuliah utilization depends not only on the amount of aid provided but also on students’ ability to manage their finances wisely through the implementation of good money habits This study is a field research using a descriptive qualitative approach. The sample consists of six informants, namely KIP Kuliah recipients at Politeknik Negeri Medan from the 2020–2023 cohorts. The results show that personal financial management among students includes budgeting, controlling expenses, and saving behavior. In addition, several factors influence students’ financial behavior, such as financial literacy, social environment, lifestyle, and individual needs. With proper financial management, KIP Kuliah funds can be utilized optimally to support students’ academic success.

This study is motivated by the importance of the effectiveness of the Indonesia Smart Card for Higher Education Program (KIP-K) in expanding access to higher education for students from low-income families at Universitas Negeri Gorontalo. This study aims to analyze the effectiveness of the implementation of the KIP-K Program based on the aspects of goal attainment, integration, and adaptation. The research employed a descriptive qualitative approach, with data collected through interviews, observation, and documentation. The data were analyzed through the stages of data reduction, data display, and conclusion drawing and verification. In terms of goal attainment, the program helps students continue their education, although several challenges remain, including limited quotas, inaccurate targeting, and suboptimal on-time graduation. In terms of integration, coordination among program administrators, faculties, departments, students, and banking partners has functioned quite well, although academic services for recipients have not been entirely equal. In terms of adaptation, the program has shown the ability to adjust to policy changes and students’ needs through periodic evaluation and adjustments to the disbursement mechanism. The implication is that stronger targeting accuracy, academic assistance, service quality, and evaluation systems are needed to ensure more optimal and sustainable program implementation.

Wewewa Timur District is an administrative area in Southwest Sumba Regency that has great potential to improve the quality of public services. However, in practice, services at the sub-district level are still faced with various obstacles, such as slow administrative processes, manual data recording, and lack of coordination between service departments. This makes it difficult for government officials to cause problems and has a direct impact on public satisfaction as service recipients. As a solution, the development of a Web-Based Integrated Service Information System is the right step to address community needs and support government performance in Wewewa Timur District. Through this system, the public can access various services on a single digital platform without having to come directly to the sub-district office, and helps officials in accelerating administrative processes. This study uses a software engineering approach to design and implement a Web-Based Integrated Service Information System in Wewewa Timur District. The method used is the Waterfall method, which is a classic method in software engineering with sequential and systematic stages, from needs analysis to system maintenance. Test results using the black box method showed that the software could identify malfunctioning functions, interface errors, data structure errors, and access to external databases, while also producing expected output. Therefore, this system is considered effective in improving the quality of public services in Wewewa Timur District.

This community service program aimed to strengthen national insight and soft skills among ADik scholarship students through a participatory and reflective mentoring approach. Many students come from underdeveloped, frontier, and outermost regions with diverse socio-cultural backgrounds, requiring contextual guidance to internalize national values and develop essential interpersonal competencies. The program combined interactive socialization, group discussions, and value reflection activities to encourage active participation and personal engagement. The method emphasized dialogic learning rather than one-way lectures, allowing students to relate national values to their lived experiences. The findings revealed noticeable behavioral changes, including increased confidence in expressing opinions, stronger participation in discussions, improved communication skills, and heightened awareness of ethical conduct and financial responsibility as scholarship recipients. The emergence of several students as informal local leaders during discussions indicated early signs of social transformation at the individual level. This program demonstrates that reflective and participatory mentoring can effectively foster character building, leadership, and contextual national awareness among university students. The implications suggest that similar approaches can be adopted in student development programs to promote sustainable character formation, especially for students from diverse and remote regions.

Human resource quality serves as a crucial pillar for national development, as it significantly influences a country’s progress and competitiveness. Therefore, enhancing human resource capacity has become a strategic priority, particularly at the regional level where local governments play a vital role. The Government of Bojonegoro Regency has introduced several initiatives to support this objective, including the Ten Scholars per Village Scholarship Program, the Scientist Scholarship, and Final Project Assistance. Despite these efforts, several implementation challenges remain, such as cases of manipulated eligibility requirements among applicants, the absence of a digitized system for registration and document submission, and limited communication channels between program administrators and scholarship recipients. This research seeks to examine, explain, and evaluate the role of local government, especially the Education Office, in executing scholarship programs based on the theoretical framework of government roles as regulator, dynamizer, and facilitator. The study employs a descriptive qualitative method, utilizing observation, interviews, and documentation for data collection, followed by data analysis using the Miles and Huberman model. The findings reveal that although the local government has begun implementing scholarship programs, the execution is not fully effective. Supervision during participant selection focuses mainly on administrative completeness rather than document authenticity. Furthermore, direct outreach activities are limited to certain regions, coordination with village authorities remains minimal, and digital transformation has yet to be realized due to unsuccessful collaboration with the Communication and Information Agency despite several coordination meetings.

The determination of scholarship recipients is a very important process in supporting students’ educational success, particularly in providing fair opportunities for high-achieving students who require financial assistance. However, in practice, this process often faces various challenges, such as assessor subjectivity and uncertainty in evaluating the applied criteria. Therefore, a decision support system is needed to assist decision-making in an objective and measurable manner. This study aims to implement the Fuzzy Tsukamoto method as a decision support system for determining scholarship eligibility. The criteria used in this study include Grade Point Average (GPA) as an indicator of academic achievement and parents’ income as an indicator of students’ economic conditions. The Fuzzy Tsukamoto method was selected because it is capable of producing crisp output values based on predefined fuzzy rules. Student data were processed through several stages, namely fuzzification to transform input data into fuzzy values, inference using the minimum operator, and defuzzification using the weighted average method. The results of the study indicate that the application of the Fuzzy Tsukamoto method is able to generate more objective, consistent, and measurable decisions. Based on the calculation results, a scholarship eligibility score of 63.9 was obtained, which falls into the eligible category. Thus, the Fuzzy Tsukamoto method can be considered an effective alternative to support fair, systematic, and transparent decision-making in determining scholarship recipients.

Empowering pregnant women in their third trimester through Respectful Maternity Care-based childbirth preparation counseling is a relevant promotive and preventive strategy for improving maternal health. This counseling not only provides knowledge about the signs of labor, stages of labor, pain management options, and birth planning, but also equips mothers with an understanding of their rights in midwifery care. Childbirth preparation education often focuses solely on clinical aspects and fails to fully address the psychosocial aspects and the rights of mothers as service recipients. This has the potential to lead to an unpleasant childbirth experience and even contribute to disrespect and abuse during labor. This counseling can equip mothers with an understanding of their rights in midwifery care. With an empathetic, participatory, and woman-centered approach, pregnant women are expected to be able to recognize their needs, convey their preferences, and communicate effectively with health workers. The purpose of this counseling is to improve pregnant women's knowledge before and after being empowered in their third trimester through Respectful Maternity Care-based childbirth preparation counseling.

The house renovation program is one of the government's efforts to improve the quality of housing for low-income people. However, the process of selecting recipients of home surgery assistance is often faced with obstacles in determining the right and fair priorities for recipients. Therefore, this study aims to design and implement a home surgery decision-making system at the Housing, Residential Areas, and Land Office using the Weight Product (WP) method. The WP method was chosen because of its ability to conduct an objective assessment of various relevant criteria, such as the condition of the house, ownership status, level of welfare, and socioeconomic needs of the recipient. This system will give weight to each criterion used to determine the priority of home surgical assistance for residents in need. In its implementation, this system is able to process data from various prospective recipients and produce an automatic and transparent order of priority recipients. The results of the evaluation show that this system can improve efficiency and accuracy in the decision-making process, as well as assist the Housing Office in implementing the house renovation program more on target. With this system, it is hoped that the home renovation program can provide greater benefits to people in need, as well as accelerate the implementation of better housing programs.

This research aims to design and develop a decision support system to determine the recipients of assistance in the Family Hope Program (PKH) in Pogo Tena Village. This system uses the (Technique for Order Preference by Similarity to Ideal Solution) method which aims to assist decision-makers in selecting families who meet the criteria to receive social assistance based on several predetermined factors, such as income level, number of family dependents, health conditions, and education. The method used in this study is a qualitative and quantitative method with a case study approach on PKH Pogo Tena Village. Data was obtained through interviews with related parties, field observations, and data collection from existing documents. In this system, the assessment is carried out by comparing alternative performance values based on pre-established criteria, and then using the TOPSIS method to determine the families who are eligible for assistance. The results of this study show that the designed decision support system can provide more objective and transparent recommendations for aid recipients. Using the TOPSIS method, the system can prioritize beneficiaries based on their proximity to the ideal solution, which helps minimize subjective errors in the beneficiary selection process. This research is expected to contribute to increasing the effectiveness and efficiency in the implementation of the Family Hope Program in Pogo Tena Village, as well as as a reference for other agencies that want to apply similar methods in social assistance programs.

The era of globalization and the rapid advancement of information technology have transformed the landscape of dakwah (Islamic propagation), shifting from conventional pulpits to virtual communication platforms (social media, podcasts, streaming). This transition, in line with the Diffusion of Innovation Theory, enables Islamic messages to reach a broad audience without geographical boundaries. Digital dakwah is highly relevant and urgent to research given the dominant use of social media by Muslim Youth, a group that seeks attention but also possesses a tendency toward critical thinking. This research has a dual aim: (1) to analyze the Interpretation of Muslim Youth towards virtual dakwah studies, and (2) to analyze the Effectiveness of Implementing Dakwah Studies through social media platforms. The accessibility of fragmented and competitive content makes the interpretation process active and crucial, where youth are no longer passive recipients but choose sources based on algorithms and their own interests. This study uses the Constructivism Paradigm to understand a dynamic and complex social reality, employing a Descriptive Qualitative Approach and the Online Ethnography Method. Data is collected through Observation, Interviews, and Documentation, with Data Triangulation (source, technique, and time) to ensure the validity of the findings. Social media holds great potential as an effective and inclusive dakwah tool. However, the effectiveness of its expansion must be balanced with the quality of the content and the capacity of Muslim Youth to perform critical, contextual, and responsible interpretation.

The process of determining eligibility for social assistance recipients is often constrained by subjective assessments and uncertainty in decision-making criteria. This condition can lead to inaccurate targeting and unfair distribution of aid. Therefore, an appropriate decision support method is required to handle data uncertainty effectively. This study aims to apply the Fuzzy Mamdani method to determine the eligibility of social assistance recipients based on several assessment criteria. The criteria used in this study include monthly income, number of dependents, and housing conditions. The research method consists of data collection, fuzzification, formulation of fuzzy rules, inference using the Mamdani approach, and defuzzification to obtain a crisp output value. The results show that the Fuzzy Mamdani method is able to classify recipients into eligible and non-eligible categories more flexibly compared to conventional methods. The generated eligibility values reflect real conditions more accurately by considering degrees of membership for each criterion. The implementation of this method can assist decision-makers in improving the accuracy, objectivity, and fairness of social assistance distribution. This research is expected to contribute to the development of intelligent decision support systems in the social welfare sector.

This study aims to describe the implementation of smart government through the Sumbergedang Baru Program in Sumbergedang Village, Pandaan District, Pasuruan Regency. The program is a digital village initiative that utilizes information technology to improve the quality of public services, transparency of governance, and the social and economic empowerment of rural communities. This study employed a descriptive qualitative approach with purposively selected informants, including the village head, village officials, community groups (Pokmas GPS and G4S), and residents as service recipients. The findings show that digital literacy among the community and village officials has begun to develop, as indicated by their ability to use basic devices and applications; however, the utilization of village digital services remains limited and uneven across age groups. In terms of ICT accessibility, the village has established an internet network and public Wi-Fi hotspots, yet network coverage and stability have not fully reached all hamlets. Regarding regulations, the village government has established basic policies through decrees forming community groups and regulating the digital village program, although these have not been comprehensively integrated. In terms of human resource quality, village officials and young cadres are relatively adaptive to technology, but a capacity gap remains among older age groups. Overall, the implementation of smart government through the Sumbergedang Baru Program is still at the stage of building a digital village foundation, requiring further improvements in digital literacy, human resources, infrastructure expansion, and technology-based transparency.

Welfare for the poor is the most important topic in improving citizens. Islam as Ad-diin has offered several teachings for humans that apply universally with two dimensional characteristics, namely happiness and well-being in life in this world and in the hereafter. In the concept of the modern world, welfare is a condition where a person can fulfill basic needs, be it the need for food, clothing, shelter, clean drinking water as well as the opportunity to continue education and have adequate work that can support the quality of life so as to have a social status that leads to the same social status as other citizens. ZIS as an extension of the government in helping the needs of the poor with the aim of improving the welfare of the community who initially as zakat recipients turned into zakat givers, so that later the funds used will be evenly distributed and felt by the wider community. as well as purifying assets that may be accidentally mixed with assets that are forbidden for consumption. The urgency of ZIS in Sidowungu is one of the main elements of effective and efficient zakat management in order to realize the welfare of the community. As for the discussion of this article about the welfare pattern for the poor as the process of distributing ZIS funds in Sidowungu Village. The method used in this article is a quantitative approach. The subjects of this study were 165 poor people in Sidowungu Village, while the sample size was 65 poor people using probability sampling. The results of the study, processed using the PASW SPSS 23 for Windows program, showed that partial test results for H0 were rejected and H1 was accepted if the calculated t value was greater than the table t value or the sig value was less than 0.05. This means that the distribution of funds partially affected the welfare of the poor in Sidowungu Village. The magnitude of the influence between variables can be seen from the coefficient of determination of 0.079, meaning that 79.0% of the welfare of the poor in Sidowungu Village was influenced by the distribution of ZIS funds, while the remaining 21.0% was influenced by other variables not included in this study.

BPJS Health has incurred losses exceeding 200 billion rupiah over a two-year period due to the payment of contributions that were discontinued by participants who had utilized maternity services. Data show that 64.7% of mothers registered as BPJS Health participants only one month prior to childbirth, after which 43% either withdrew their membership or failed to continue paying contributions following delivery. The highest proportion of this behavior was observed among independent participants or non-wage recipients (PBPU). In Jambi Province, the highest level of contribution non-compliance occurs in Jambi City. In 2023, there were 77,489 participants with contribution arrears, resulting in financial losses amounting to 60.1 billion rupiah. Contribution non-compliance is influenced by various factors. This study aims to analyze the factors contributing to non-compliance among independent participants in paying BPJS Health contributions after utilizing childbirth services in Jambi City. The findings revealed that 33.3% of independent participants were non-compliant in paying BPJS Health contributions after using maternity services. Significant associations were found between contribution non-compliance and the number of family members (p = 0.001), level of knowledge (p = 0.000), illness perception (p = 0.001), clinical assessment (p = 0.000), and willingness to pay (WTP). Based on these findings, it is recommended that BPJS Health consider implementing a waiting period policy for participants intending to utilize maternity services. In addition, the Jambi City Government should strengthen promotive efforts to educate the public and raise awareness of the importance of health insurance in safeguarding household financial security.  

The Ministry of Social Affairs has made a new breakthrough in facilitating the public in checking social assistance recipients, namely the social assistance check application. User reviews can be used to find out whether the application provides benefits to the community or not. However, these reviews need to be processed using sentiment analysis. Then to do sentiment analysis requires machine learning. One method that includes machine learning is Naïve Bayes. The purpose of this research is to implement the Naïve Bayes method in conducting sentiment analysis and find out whether the social assistance check application is beneficial to society based on the results of sentiment analysis. In this study, two categories of sentiment are used, namely positive and negative. The author collects by crawling using the Google Play Scrapper library. The results of crawling data obtained as many as 4000 data. The results showed that the actual data that had been labeled using Textblob resulted in 987 negative label reviews and 628 positive label reviews. Meanwhile, the Naïve Bayes method is able to analyze the review sentiment of the social assistance check application with the results of 1181 negative sentiments and 434 positive sentiments. The Naïve Bayes model has a good accuracy rate of 0.77 or 77% in analyzing sentiment for social assistance check application reviews.

The Indonesia Pintar Program (PIP) is an educational assistance program for students from underprivileged families, but determining the eligibility of recipients still faces obstacles in the form of subjectivity and data imbalance. This study aims to classify the eligibility of high school students receiving PIP in Jambi City using data mining methods. The SMOTE technique was applied to overcome class imbalance, and Gain Ratio feature selection was used to determine important attributes. The dataset used consisted of 19,596 student data with a training data distribution of 70% and testing data of 30%. The classification process used the Naïve Bayes, Decision Tree (J48), and Random Forest algorithms with the Use Training Set, 5-Fold, and 10-Fold Cross Validation testing schemes. The results show that SMOTE improves model performance, but feature selection in some cases reduces accuracy. Overall, Random Forest without feature selection provides the best results with an accuracy of 93.33% and is recommended as the most effective model for objectively determining PIP recipient eligibility.

This study aims to analyze the impact of government expenditure development and government budgeting on the social assistance recipients affected by floods. The research approach uses a quantitative method with a total of 50 respondents selected through sampling techniques. Data processing was conducted using SPSS software with various statistical tests, including validity test, reliability test, multiple linear regression, t-test, and F-test. The results show that the development of government expenditure has a significant impact on the condition of the social assistance recipients. Additionally, government budgeting also has a significant impact on the effectiveness of social assistance distribution after the disaster. Simultaneously, both variables have a strong influence on the social assistance recipients, as reflected by the significant F-test value and the coefficient of determination (R Square) of 0.518. This means that 51.8% of the variation in the condition of social assistance recipients can be explained by the development of government expenditure and government budgeting. These findings highlight the importance of appropriate expenditure and budgeting policies to enhance the effectiveness of social assistance distribution, especially in disaster situations.

This study aims to determine the effectiveness of the Jakarta Smart Card Plus (KJP Plus) Program at the Junior High School (SMP) level in South Jakarta in 2024. The program is an initiative by the Provincial Government of DKI Jakarta to ensure access to education for underprivileged families. This research employs Sutrisno’s (2007) program effectiveness theory, which includes five key indicators: program understanding, target accuracy, timeliness, goal achievement, and real change. The research method used is a descriptive qualitative approach, with data collection techniques including interviews, observations, and documentation involving informants from the South Jakarta Region I Education Sub-Department, school principals, students, and parents of KJP Plus beneficiaries. The results of the study indicate: (1) Understanding of the program is still uneven, particularly among parents who lack knowledge about the mechanism and use of KJP Plus; (2) Target accuracy is not optimal, as some recipients are economically capable, such as those who own cars or fall into higher welfare deciles; (3) The timeliness of fund distribution is generally good, although there are still some administrative delays; (4) Goal achievement is evident through reduced school dropout rates and increased educational participation, but not evenly across all areas; and (5) Real change is felt by most beneficiaries through easier access to education and provision of school supplies, although misuse of funds for non-educational purposes is still present. Overall, the effectiveness of the KJP Plus program at the SMP level in South Jakarta is deemed suboptimal, highlighting the need for improved data accuracy, stricter fund usage monitoring, and broader program socialization.