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This study aims to analyze the implementation of public policies in improving community welfare through the Direct Cash Assistance (BLT) Program, the Subsidized Direct Cash Assistance (BLTS), and rice distribution managed by the State Logistics Agency (BULOG) in Cipete Village. The research method used is a descriptive qualitative approach. Data collection techniques were carried out through interviews with policy implementers and beneficiary communities, direct observation of the aid distribution process, and review of relevant official documents and data. The results show that the BLT and BLTS programs play a significant role in helping low-income communities meet their basic needs and increasing household purchasing power, especially during unstable economic conditions. Meanwhile, rice distribution by BULOG supports community food security by providing access to staple foods at prices lower than market rates. Despite the positive impacts, the implementation of these three programs still faces various obstacles, including inaccurate beneficiary targeting due to imprecise and rarely updated data, delays in the distribution process, lack of information transparency, and suboptimal inter-agency coordination. Based on these findings, improvements are required, such as developing an integrated and technology-based data system, increasing information disclosure to the public, strengthening monitoring and periodic evaluation systems, and enhancing cooperation among related institutions. Optimizing the implementation of these social assistance programs is expected to create sustainable, equitable, and targeted improvements in community welfare.

Malnutrition among children under five remains a major public health concern, particularly in areas with limited access to nutritious food and health services. This study aimed to determine the prevalence of stunting, underweight, and wasting among children under five in Kuatnana District, South Central Timor Regency in 2025. This research used a descriptive cross-sectional design with secondary data obtained from nutrition program reports at Tetaf Public Health Center. The sample included all children aged 0–59 months, totaling 1,179 children. Data were analyzed using univariate analysis to calculate frequency distribution and percentages based on WHO anthropometric indicators (z-score). The results showed that the prevalence of stunting was 44.78%, underweight 40.46%, and wasting 14.76%. Most children had normal nutritional status based on weight-for-height index (88.38%), although a considerable proportion still experienced undernutrition. In conclusion, malnutrition among children under five in Kuatnana District remains high, particularly stunting and underweight. Integrated interventions are needed, including improving caregiving practices, increasing access to nutritious food, and strengthening health services to reduce malnutrition sustainably.

This research aimed to: (1) describe purchasing decisions, price, and servicescape at Otto Coffee Truck Maumere, and (2) analyze the influence of price and servicescape on purchasing decisions at Otto Coffee Truck Maumere. This research used a quantitative approach using a survey method. Data collection techniques included observation, and the distribution of questionnaires to descriptive analysis, instrument testing, classical assumption testing, multiple linear regression analysis, partial testing (t-test), simultaneous testing (F-test), and the coefficient of determination (R2) with the assistance of statistical software. The Result of the research indicated that price had a positive but insignificant effect on purchasing decisions at Otto Coffee Truck Maumere. Meanwhile, the servoicescape variable had a positive and significant effect on purchasing decisiond. Simultaneously, price and servicescape had a positive and significant effect on purchasing decisions at Otto Coffee Truck Maumere. Therefore, Otto Coffee Truck Maumere should maintain a competitive pricing strategy and continue to improve the quality of uts servicescape to enhance consumers’ purchasing decisions.

This study aims to analyze the effect of Digital visual marketing and Service Innovation, both partially and simultaneously, on the decision to rent Sikka traditional clothing at Meliana Collection. The background of this research is based on the unstable fluctuations in the number of rental transactions at the object of research, so a strategy is needed that can increase consumer appeal, especially through strengthening visual-based digital marketing and improving service quality. This study uses a quantitative approach with causal associative methods. The population in this study consists of all consumers who have rented traditional clothing at Meliana Collection. Determination of the number of samples was carried out using a probability sampling technique with the Slovin formula at a 10% error level, resulting in 88 respondents as the research sample. Data were collected through the distribution of questionnaires and further analyzed using descriptive analysis, classical assumption tests, multiple linear regression analysis, and hypothesis testing (t-test and F-test) using SPSS version 23 software. The results of the research partially (t-test) show that the Digital visual marketing variable has a positive and significant effect on rental decisions (t-count 2.955> 1.988; Sig 0.004). The Service Innovation variable also has a positive and significant effect on rental decisions and is proven to be the most dominant variable influencing consumer decisions (t-count 11.386 > 1.988; Sig 0.000). Simultaneously (F-test), the two independent variables have a significant combined effect on consumer rental decisions (F-count 77.606>2.71; Sig 0.000). The combination of the Digital visual marketing and Service Innovation variables contributes 64.6% (R Square 0.646) to rental decisions, while the remaining 35.4% is influenced by other factors or variables outside of this research model.

This study aims to analyze the effectiveness of corporate zakat management in reducing economic inequality from the perspective of muamalah. The research employs a library research method with a qualitative-descriptive approach by examining various literature sources, empirical data, and regulations related to corporate zakat in Indonesia. The findings reveal that corporate zakat management achieves optimal effectiveness when zakat funds are distributed through a productive zakat scheme. This scheme is implemented through six main stages: preliminary surveys of beneficiaries, regular assistance, provision of business capital, business partner guidance, motivational training, and periodic evaluations of beneficiaries’ business development. However, practical implementation still faces several challenges. The allocation of funds for business capital among economically disadvantaged communities has only reached approximately 0.4%, while the majority of zakat funds, around 97.1%, are still utilized for consumptive assistance. This condition indicates that the economic empowerment function of zakat has not yet been fully optimized. Therefore, integrative solutions are required, including institutional strengthening through the establishment of Islamic microfinance units such as Baitul Maal wat Tamwil (BMT) internally, as well as stronger government regulations through tax deductible incentive policies externally to support the sustainable optimization of corporate zakat distribution.

Postoperative pain following Sectio Caesarea (SC) is a common clinical problem, reported within the first 24 hours in approximately 50-85% of patients. This postoperative pain can affect maternal comfort, early mobilization, and the recovery process. Theoretically, post-SC pain is associated with tissue trauma and nociceptive responses. Enhanced Recovery After Surgery (ERAS) is an increasingly implemented method because it is considered capable of accelerating postoperative recovery and reducing pain intensity after surgical procedures. This study aimed to describe the distribution of post-Sectio Caesarea pain intensity based on patient characteristics. This research employed a descriptive quantitative design with an observational approach. Data were collected using a total sampling technique from all post-SC patients managed with the ERAS method at RSI Fatimah over a one-month period, with a total of 50 respondents. The research instrument used was the Visual Analogue Scale (VAS). Data were analyzed univariately in the form of frequency and percentage distributions. The results showed that the majority of respondents were in early adulthood (26-35 years), accounting for 40 respondents (80.0%), multiparous women totaled 30 respondents (60.0%), maternal indications were found in 33 respondents (66.0%), and 27 respondents (54.0%) had no previous history of SC. Within the first 2 hours after SC, most mothers experienced mild pain (scale 1-3), totaling 31 respondents (62.0%). At 8 hours after analgesic administration, mild pain remained predominant, with 36 respondents (72.0%). In conclusion, most mothers who underwent Sectio Caesarea using the ERAS method experienced mild pain during the early postoperative period.

Postoperative pain following Sectio Caesarea (SC) is a common clinical problem, reported within the first 24 hours in approximately 50-85% of patients. This postoperative pain can affect maternal comfort, early mobilization, and the recovery process. Theoretically, post-SC pain is associated with tissue trauma and nociceptive responses. Enhanced Recovery After Surgery (ERAS) is an increasingly implemented method because it is considered capable of accelerating postoperative recovery and reducing pain intensity after surgical procedures. This study aimed to describe the distribution of post-Sectio Caesarea pain intensity based on patient characteristics. This research employed a descriptive quantitative design with an observational approach. Data were collected using a total sampling technique from all post-SC patients managed with the ERAS method at RSI Fatimah over a one-month period, with a total of 50 respondents. The research instrument used was the Visual Analogue Scale (VAS). Data were analyzed univariately in the form of frequency and percentage distributions. The results showed that the majority of respondents were in early adulthood (26-35 years), accounting for 40 respondents (80.0%), multiparous women totaled 30 respondents (60.0%), maternal indications were found in 33 respondents (66.0%), and 27 respondents (54.0%) had no previous history of SC. Within the first 2 hours after SC, most mothers experienced mild pain (scale 1-3), totaling 31 respondents (62.0%). At 8 hours after analgesic administration, mild pain remained predominant, with 36 respondents (72.0%). In conclusion, most mothers who underwent Sectio Caesarea using the ERAS method experienced mild pain during the early postoperative period.

This study is motivated by the importance of maintaining consumer satisfaction amidst increasingly fierce competition in the culinary business, where Warteg Bunana faces challenges in the form of a decline in the number of customers over the past two years. The objective of this research is to determine and analyze the influence of social media promotion, location, and perceived value on consumer satisfaction at Warteg Bunana in Batam City. The research method used is a quantitative approach with a survey method through the distribution of questionnaires to 100 respondents selected using simple random sampling techniques. Data were analyzed using multiple linear regression analysis via SPSS software. The findings indicate that simultaneously, social media promotion, location, and perceived value have a significant effect on consumer satisfaction with an F value of 21,940 and a significance value of 0.000 < 0.05. Partially, all three variables also have a significant influence on consumer satisfaction. The coefficient of determination (R Square) of 0.407 shows that these variables explain 40.7% of consumer satisfaction. The implications of this research suggest that Warteg Bunana management needs to increase social media promotion consistently and maintain location comfort and service quality to improve consumers' perceived value on a sustainable basis

Waqf is one of the instruments of Islamic economics that holds great potential for improving community welfare and promoting sustainable socioeconomic development. However, this potential has not been fully realized due to low public participation in waqf. This situation indicates that messages and education regarding waqf have not been effectively communicated to the general public. This study aims to analyze how the distribution, promotion, and advertising of waqf messages are conducted to the public through a case study of the Indonesian Waqf Board in South Tangerang City. The method used is a descriptive qualitative approach with a constructivist paradigm. Data collection was conducted through interviews, observations, documentation, and literature review to obtain a comprehensive picture of the waqf communication strategies implemented. The results of the study indicate that the distribution of waqf messages is still limited to seminars, workshops, and incidental activities, resulting in uneven information reach. Waqf promotion has also not been conducted consistently and remains conventional, while the use of digital advertising and social media has not been maximized. The main obstacles faced include low public literacy regarding waqf, a lack of professionalism among waqf administrators, and minimal public trust in waqf management. This study concludes that the development of waqf requires modern communication strategies through the digitization of messages, consistent promotion, increased institutional transparency, and intensive use of social media in order to significantly increase public participation in waqf.

 Employee organizational commitment at the Central Bureau of Statistics (BPS) of Jambi City refers to the level of psychological attachment, loyalty, and willingness of employees to remain part of the organization and contribute optimally to achieving institutional goals. This commitment reflects the extent to which employees possess a sense of belonging, accept organizational values, and demonstrate seriousness in carrying out their duties and responsibilities as public servants. This study aims to determine and analyze the influence of organizational culture and employee motivation on employee organizational commitment at the Central Bureau of Statistics of Jambi City. The research method used is a descriptive quantitative approach with data collection techniques through observation and questionnaire distribution to respondents. The data analysis method used is multiple linear regression analysis with the assistance of SPSS version 25 software. The results of the study indicate that, based on the t-test, organizational culture and employee motivation partially have a positive and significant effect on employee organizational commitment at the Central Bureau of Statistics of Jambi City. In addition, based on the F-test, organizational culture and employee motivation simultaneously have a significant effect on employee organizational commitment at the Central Bureau of Statistics of Jambi City.

University libraries play a strategic role in supporting academic learning and research. This study aims to evaluate user perceptions of library service management at UIN Madura, focusing on five key dimensions: clarity of service information, effectiveness of staff coordination, organizational structure support, simplicity of service procedures, and consistency of orientation for new users. The study used a quantitative approach with a survey method. Data were collected through an online Google Form-based questionnaire distributed to active UIN Madura students from various study programs, resulting in 21 valid respondents from diverse academic backgrounds. Data analysis was conducted descriptively using frequency distribution and percentages. The results indicate that user perceptions of library governance are generally quite positive. The majority of respondents gave good ratings to the clarity of service information (85.7% agreed or strongly agreed), the effectiveness of staff coordination (81%), and the organizational structure support (90.5%). However, the new user orientation dimension received the lowest rating, with 23.8% of respondents disagreeing or strongly disagreeing. These findings indicate the need for a more systematic and sustainable strengthening of the library orientation program. Overall, the service management and governance of the UIN Madura library were assessed as quite good. However, improvements are still needed in the aspects of socialization and guidance for new users so that this university library service can function optimally in supporting the academic community.

This study describes Islamic public and social finance: the role and mechanisms of government oversight of economic activities from an Islamic perspective. The purpose of this study is to explain Islamic public and social finance: the role and mechanisms of government oversight of economic activities from an Islamic perspective. The research method is qualitative. Data analysis was conducted using thematic analysis techniques through the stages of data reduction, data presentation, and drawing conclusions. This research finds that the government's role from an Islamic public and social finance perspective is not only as a regulator but also as an active supervisor, ensuring that economic activities are run in accordance with Sharia principles. Supervisory mechanisms are implemented through the institution of hisbah (Islamic tax), Sharia-based regulations, and a system of public financial accountability and transparency. Furthermore, Islamic social finance instruments such as zakat (alms), infaq (donations), sedekah (charity), and waqf (endowments) have been proven to play a role in equitable wealth distribution and reducing social inequality. This supervisory concept remains relevant in the modern economic context, including the digital sector and Sharia finance. The implications of this research suggest that the government needs to strengthen the implementation of Islamic-based supervision in the modern economic system by strengthening Sharia financial institutions, optimizing the management of Islamic social funds, and enhancing transparent and accountable regulations. Furthermore, adaptation of Islamic supervisory mechanisms is necessary to address the development of the digital economy. This research also implies the importance of increasing Sharia economic literacy among the public to support the creation of a more sustainable and equitable economic system.

This study describes a comparative analysis of public financial systems in the ancient world, medieval Europe, and early Islam from a social justice perspective. The purpose of this study is to analyze the public financial systems of the ancient world, medieval Europe, and early Islam from a social justice perspective. The research method is qualitative. Data analysis was conducted using thematic analysis techniques through the stages of data reduction, data presentation, and conclusion drawing. The results of this study indicate that the ancient world had an administratively efficient financial system but was highly centered on the power of the ruler, resulting in high social inequality. In medieval Europe, the financial system was influenced by feudalism and religious values, but was fragmented and dependent on the elite, resulting in an unequal distribution of wealth. Meanwhile, early Islam presented a more structured financial system through the Baitul Mal (Financial Treasury) and instruments such as zakat, kharaj, and jizyah, oriented towards social justice and wealth redistribution. However, all three systems have their respective weaknesses, especially in aspects of implementation, accountability, and equity. This study concludes that social justice in the public financial system requires the integration of institutional efficiency, ethical values, and strong redistribution mechanisms.

This study aims to identify and analyze the effects of job competence, work discipline, and incentives on employee performance. This study employs a quantitative method with a descriptive and associative approach. The population of this study consists of all 40 employees in the marketing division at PT Pratama Mitra Aksara. Data collection was conducted through the distribution of an online questionnaire, followed by data analysis using multiple linear regression to test the effect of each independent variable on the dependent variable. The results of the study indicate that job competence, work discipline, and incentives simultaneously have a positive and significant effect on employee performance. The t-scores for the Job Competence variable were 2.569, for the Work Discipline variable 2.894, and for the Incentives variable 2.998. Thus, it is concluded that improving job competence and work discipline, along with providing appropriate incentives, can enhance employee performance. It is hoped that this study will serve as a basis for companies to improve employee performance through more effective human resource management.

Households in Yabansai Urban Village, Heram District, Jayapura City, experience recurrent clean-water shortages as the Kampwolker River, the raw-water source of PDAM UPP Waena, discharges decline. This study examines the supply-demand balance of clean water and community adaptation strategies in meeting household water needs. Demand was calculated using the Directorate General of Cipta Karya (1998) standard for a subdistrict town (90-100 L/person/day). Primary data were collected through semi-structured interviews with 60 households across 12 RWs and two PDAM staff, supported by field observations of the intake, distribution network, boreholes, and household storage facilities. The results show that Yabansai's demand is 1,582,650-1,758,500 L/day, while PDAM UPP Waena's net distribution capacity is 2,268,000 L/day in the wet season and 1,008,000 L/day in the dry season. Because this capacity serves several areas, the wet-season surplus is only nominal, and the dry-season capacity is insufficient even for Yabansai alone. Despite this structural shortfall, 61.7% of respondents rate water availability as "Very Sufficient": community practices (water storage, rainwater harvesting, boreholes, water purchase) form an adaptive equilibrium that sustains daily activities but remains costly and vulnerable. The study recommends watershed rehabilitation, source diversification, distribution transparency, and network extension to unserved RWs.

Blasting is a critical method for overburden removal in open-pit coal mines, where fragmentation quality directly impacts loading efficiency and operational costs. This study aims to analyze the actual fragmentation resulting from overburden blasting at Pit 4 Middle of PT. Victor Dua Tiga Mega, Central Kalimantan, to predict fragmentation using the Kuz-Ram model, and to evaluate the conformity of both results against the company standard (boulder size ≤144.6 cm or ≥50 cm for analysis). The research employed a quantitative comparative method. Primary data included blasting geometry and photographs of muck piles from 10 blasting events, which were analyzed using WipFrag software to obtain actual fragmentation distribution. Secondary data comprised rock characteristics and explosive properties for Kuz-Ram prediction input. The results showed significant variation in actual boulder percentage (≥50 cm), ranging from 6.19% to 32.91% with an average of 16.05% (medium category). Statistical analysis revealed a very weak negative correlation (r = -0.21) between powder factor (PF) and boulder percentage, indicating that PF is not the dominant factor within the consistent application range (0.21-0.23 kg/bcm). Comparison with Kuz-Ram predictions showed that the model consistently over-predicted coarse material, with an average difference of +25.21%, suggesting the need for rock factor (A) recalibration. It is concluded that the blasting results are inconsistent, strongly influenced by uncontrollable factors such as geological conditions. Recommendations include geometri evaluation, particularly burden and spacing, and calibration of the Kuz-Ram model for more accurate future predictions.

Digital transformation in public administration has become one of the strategic agendas in modern bureaucratic reform to improve the effectiveness, efficiency, transparency, and quality of public services. This study aims to analyze the digital transformation of public administration through a comparative study between Indonesia and South Korea, particularly in the implementation of digital government. This study uses a qualitative method with a comparative study approach and is supported by library research through secondary data collection from scientific journals, international agency reports, government policy documents, and relevant previous research. The data analysis technique uses descriptive-comparative analysis with the theoretical approaches of Digital Era Governance (DEG), Institutional Theory, New Public Management (NPM), and Socio-Technical Systems Theory. The results of the study show that South Korea has succeeded in developing an integrated digital government because it is supported by consistent national policies, strong data interoperability, high bureaucratic capacity, adaptive organizational culture, and equitable distribution of digital infrastructure. In contrast, Indonesia is still in the transition stage from e-government to digital government and faces various obstacles such as fragmentation of inter-agency systems, low data interoperability, inequality in digital infrastructure, limited ASN competency, and bureaucratic resistance to change. Based on the Digital Era Governance theory, South Korea has successfully implemented the principles of reintegration, needs-based holism, and digitization of changes, while Indonesia remains suboptimal in terms of bureaucratic integration and services based on public needs. This study concludes that the success of digital transformation in public administration is determined more by institutional strength and bureaucratic reform than simply by technology adoption. Therefore, Indonesia needs to prioritize digital transformation as a comprehensive national reform agenda to create a modern, responsive, and service-oriented government.

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.

Desa Motu is an area that experiences limited internet access due to the unavailability of conventional ISP services and weak cellular signal coverage. This study aims to develop a community-based RT/RW Net network system to provide internet access by utilizing Starlink as the main ISP and distributing connectivity through networking devices such as MikroTik routers, access points, switches, and fiber optic media. Network testing was conducted by measuring download and upload speeds using network testing ap-plications, evaluating connection stability through latency (ping) measurements, and assessing signal coverage at several user locations. The results show that the implemented RT/RW Net network is able to provide a stable internet connection with consistent speeds at different testing times, as well as optimal signal distribution across multiple measurement points. The authentication system using vouchers, PPPoE, hotspot login, and MAC Binding functions properly, and the free educational access feature also operates effectively. These findings indicate that the RT/RW Net–based community network model can serve as an affordable and sustainable solution for expanding internet access in rural areas.

Indonesian culinary comments on social media platforms such as Instagram are characterized by informal spelling, regional language mixing, slang expressions, and emojis, posing substantial challenges for automated sentiment classification. While IndoBERT has demonstrated strong performance across Indonesian natural language processing tasks, the contribution of individual preprocessing components to fine-tuning performance on informal text remains underexplored, particularly in the culinary domain. This study addresses this gap by conducting a systematic preprocessing ablation study on IndoBERT-Base fine-tuning for Indonesian culinary sentiment classification, accompanied by a comparative evaluation against Naive Bayes with TF-IDF, SVM with TF-IDF, and BiLSTM as representative baselines. A dataset of 3,500 manually labeled Instagram culinary comments across three sentiment classes was used, with a stratified 80/10/10 split. Six preprocessing variants were evaluated under identical experimental conditions to isolate the contribution of each component. The results show that slang normalization is the most impactful single preprocessing step, yielding a macro F1-score gain of +0.0609 over the no-preprocessing baseline, while the full pipeline achieves an accuracy of 0.8800 and a macro F1-score of 0.8465. IndoBERT-Base with the full pipeline outperforms all baselines across all evaluation metrics. Per-class analysis reveals that the negative class achieves the lowest F1-score of 0.7600, with sarcastic expressions and Banjar regional vocabulary identified as primary sources of misclassification. These findings indicate that preprocessing decisions have a measurable and non-uniform effect on IndoBERT fine-tuning performance. In this study, slang normalization provides the most substantial individual contribution in bridging the vocabulary gap between informal user-generated text and the model’s pre-training distribution.