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The objective of this study is to determine the influence of teacher teaching style on student learning motivation in Islamic Religious Education at SMP Muhammadiyah 1 Wonosobo. The approach used in this study is a quantitative approach with a causal associative method. Data collection was conducted through the distribution of questionnaires to 144 respondents selected using probability sampling technique. Data were collected using questionnaires for the learning motivation variable and the teaching style variable. The technique analysis applied in this study is a simple linear regression analysis with the help of SPSS program. The results of this study indicated the the teacher teaching style has a significant and positive influence on student learning motivation in Islamic Religious Education subjects at SMP Muhammadiyah 1 Wonosobo. This result was proven by the results of the T-test which showed that the significance value of the regression model of this study is greater than the significance level value. Based on these results, it is suggested for Islamic Religious Education teachers at SMP Muhammadiyah 1 Wonosobo to apply adaptive and innovatice teaching style to maintain and increase student learning motivation.

Irrational drug use remains a common health problem in the community, including the use of medications without following dosage instructions, discontinuation of treatment before completion, the use of antibiotics without prescriptions, and improper drug storage. These problems were also identified among residents of Candirejo Village, West Ungaran District, who still have limited knowledge regarding the safe use of daily medications. This community service activity aimed to improve public knowledge and awareness regarding rational and safe medication use. The implementation methods included program socialization, health education sessions, distribution of educational media in the form of leaflets and posters, and evaluation through question-and-answer sessions and simple quizzes. Educational materials covered how to read medication labels, proper dosage and duration of use, differences between over-the-counter drugs and prescription drugs, risks of antibiotic misuse, and proper medication storage methods. The results of the activity showed an increase in community understanding regarding medication use instructions, the importance of reading labels, the dangers of using antibiotics without prescriptions, and correct drug storage practices. Participants also demonstrated high enthusiasm and active participation during the activities. This program is expected to improve community health literacy and encourage more appropriate, safe, and responsible medication use behavior in daily life.

Hypertension is one of the leading non-communicable diseases contributing significantly to cardiovascular morbidity and mortality worldwide. Despite the availability of extensive electronic medical record data in healthcare institutions, these data are often utilized only for administrative reporting rather than predictive analysis. Consequently, opportunities to identify age groups with a higher probability of developing hypertension remain underutilized. This study aims to implement the Naïve Bayes classification algorithm to analyze age distribution and classify the risk of hypertension among patients using healthcare data. The research adopted the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology, including business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Patient medical record data consisting of demographic and clinical attributes, including age, systolic blood pressure, diastolic blood pressure, body weight, gender, and hypertension status, were processed using the Naïve Bayes algorithm. Model performance was evaluated using a confusion matrix by measuring accuracy, precision, recall, specificity, and balanced accuracy. The implementation demonstrates that the Naïve Bayes algorithm is capable of classifying hypertension risk efficiently while providing probabilistic information regarding age groups with a higher tendency to experience hypertension. The resulting classification model offers an effective decision-support tool for healthcare providers in conducting targeted screening, preventive interventions, and evidence-based health planning. The findings also indicate that data mining techniques can transform routinely collected medical records into valuable clinical knowledge for early hypertension prevention and healthcare decision-making.

This study aims to determine the effect of assertive leadership and self-actualization on the performance of nurses at Dr. Soekardjo Regional General Hospital in Tasikmalaya. The research design used in this study is a quantitative approach using a survey method. Research subjects: All 40 nurses working in the Melati ward were included as respondents. Research data were collected through the distribution of questionnaires to all respondents. The collected data were analyzed using a series of multiple linear regression tests, along with instrument validation and hypothesis testing. The results of the data analysis yielded the regression equation Y = 0.743 + 0.482X1 + 0.521X2 + e. Furthermore, the analysis indicated that assertive leadership positively contributes to improved nursing performance. Additionally, self-actualization also plays a role in supporting performance improvement. Simultaneously, both variables exert a significant influence on nursing performance. The coefficient of determination of 68.2% indicates that 68.2% of the variation in nurses’ performance can be explained by the two independent variables—assertive leadership and self-actualization—while the remainder is influenced by other factors outside the research model. These findings suggest that strengthening a more assertive and clear leadership style and fostering nurses’ self-actualization can serve as strategies for improving the quality of nursing care.

This study analyzes the effect of logistics digitalization systems and personnel competence on the distribution of personnel uniforms (kaporlap) at Kodiklatal. The study was motivated by the fact that the distribution system had not yet operated optimally despite the implementation of digital logistics, while delays in updating the Sistem Informasi Entitas Samapta (SIMBENSAM), limited documentation of device identities, and unequal digital skills among personnel still constrained distribution performance. A quantitative approach with explanatory design was applied. The population consisted of 3,099 personnel and the sample comprised 97 respondents selected using Slovin's formula. Data were collected through Likert-scale questionnaires and internal documentation, then analyzed using validity and reliability tests, classical assumption tests, descriptive analysis, and simple and multiple linear regression. The results show that the logistics digitalization system has a positive and significant effect on kaporlap distribution (t = 24.607; p < 0.05), personnel competence also has a positive and significant effect (t = 37.972; p < 0.05), and both variables simultaneously affect distribution performance (F = 788.285; p < 0.05) with an R square of 0.944. These findings confirm that digital systems and human competence must be strengthened in an integrated manner to support efficient, accurate, and timely distribution in a military education environment.

Anemia during pregnancy remains a common health problem and may lead to adverse outcomes for both mother and fetus. Hemoglobin and erythrocyte indices examination are important to identify anemia and describe erythrocyte morphology in pregnant women. This study aimed to describe hemoglobin levels and erythrocyte indices among anemic pregnant women at Sentosa Maternity Hospital. This research used a descriptive design with secondary data obtained from hematological examination results of pregnant women who underwent laboratory testing at Sentosa Maternity Hospital from January to December 2023. Data were analyzed descriptively and presented in frequency distribution tables. The results showed that out of 58 pregnant women undergoing hematological examination, 28 women (48%) were anemic with a mean hemoglobin level of 10.2 g/dL, while 30 women (52%) had normal hemoglobin levels with a mean of 12.8 g/dL. Based on erythrocyte indices, most anemic pregnant women had microcytic hypochromic anemia, accounting for 19 women (67%) with mean MCV of 72.3 fL, MCH of 29.8 pg, and MCHC of 33.9 g/dL, whereas 9 women (33%) had normocytic normochromic anemia with mean MCV of 83.4 fL, MCH of 29.6 pg, and MCHC of 33.4 g/dL. It can be concluded that nearly half of the examined pregnant women experienced anemia, with microcytic hypochromic anemia being the most dominant type.

This study contributes to the advancement of Islamic social finance discourse by developing a conceptual framework for a digitally integrated zakat governance model within the agricultural sector. The study addresses a critical gap between productive zakat practices and the emerging landscape of digital agricultural transformation. While previous research has largely focused on the redistributive function of zakat as a mechanism for poverty alleviation, limited scholarly attention has been directed toward its potential transformation into a technology-enabled and productivity-oriented instrument that supports sustainable development objectives. Employing a qualitative research approach through content analysis, this study synthesizes interdisciplinary perspectives from Islamic economics, zakat governance, agricultural technology innovation, and digital sustainability studies. The study proposes a Digital Farming Zakat Platform framework consisting of five interconnected dimensions: geospatial-based beneficiary identification, smart farming empowerment, sharia-compliant financial mechanisms, agricultural market integration, and data-driven monitoring systems.

This study aims to analyze the discrepancy between regulations and social realities in fulfilling the right to education in Indonesia. Normatively, the state has established a strong legal framework to guarantee the right to education, as stipulated in the 1945 Constitution and various educational policies. However, in practice, there remains a significant gap between policy and actual conditions in society. This research employs a qualitative approach using a juridical-normative method combined with an empirical (sociological) approach. Data were collected through library research from various sources, including laws and regulations, academic journals, and reports from official institutions. The findings indicate that the discrepancy is reflected in three main aspects: unequal distribution of educational facilities, disparities in the quality of education, and the existence of children who have not accessed education. These issues are influenced by factors such as limited infrastructure, unequal distribution of teachers, geographical challenges, and socio-economic conditions. Therefore, it can be concluded that the fulfillment of the right to education in Indonesia has not been fully optimal due to ineffective and non-adaptive policy implementation. Hence, more comprehensive and contextual efforts are required to achieve an equitable, inclusive, and accessible education system for all.

This study aims to describe the management of the Tahfidz Al-Qur'an Program, identify the supporting and inhibiting factors in its implementation, and analyze its contribution to improving educational quality at SD Qurrota 'Ayun Kalibeber Wonosobo. A qualitative approach with a field research design was employed. Data were collected through observations, interviews, and documentation involving the principal, tahfidz coordinator, tahfidz teachers, classroom teachers, students, and parents. Data were analyzed using the Miles and Huberman model, including data reduction, data display, and conclusion drawing. The findings show that the Tahfidz Al-Qur'an Program has been systematically managed through the functions of planning, organizing, actuating, and controlling. Planning includes determining memorization targets, preparing the curriculum, scheduling activities, selecting learning methods, assigning qualified teachers, and establishing evaluation procedures. Organizing involves a clear distribution of responsibilities among school stakeholders and parents. Program implementation consists of tahsin, memorization submission, muraja'ah, and periodic evaluations, while monitoring is conducted through memorization assessments, evaluation meetings, and progress reports to parents. Supporting factors include the principal’s commitment, competent tahfidz teachers, parental involvement, and a religious school environment. Inhibiting factors include differences in students’ abilities, limited muraja'ah at home, time constraints, and fluctuating learning motivation. The program contributes to educational quality by strengthening religious character, improving academic achievement, fostering school discipline, and increasing public trust in the institution.

Electricity service quality depends not only on physical network expansion but also on the availability of accurate, traceable, and spatially integrated asset data. This study aims to formulate an infrastructure inventory plan for electricity distribution networks as a basis for optimizing electricity services in Musi Rawas Regency, Indonesia. A descriptive-technical approach was applied using administrative maps, spatial planning documents, distribution network maps, feeder single-line diagrams, January 2026 customer data, bill of quantity documents for electricity and public street lighting, and the planned network drawing for Mandi Aur Village. The results show that 14 target districts served approximately 101,932 customers, consisting of 78,564 postpaid and 23,368 prepaid customers. Tugumulyo, Megang Sakti, Muara Kelingi, and Muara Lakitan represented the largest customer concentrations and should be prioritized for detailed asset verification. The proposed inventory object includes medium-voltage lines, low-voltage lines, poles, distribution transformers, protection equipment, public street lighting, panels, and operation-worthiness documents. The inventory database should include unique asset codes, coordinates, feeder identity, specifications, physical condition, photographs, operational status, and follow-up actions. Spatial inventory is expected to improve maintenance planning, outage response, public lighting management, safety control, and evidence-based network development.

Background: South Tangerang City has experienced an increase in the prevalence of diarrhea in children under five years old over the past three years. In 2023, South Tangerang City prevalence of the incidence of diarrhea in under five years old 17,68%. Purpose: This study aims to determine the distribution of diarrhea incidence in children under five years old based on risk factors through a spatial analysis approach in South Tangerang City in 2023. Methods: This study employs a quantitative, descriptive approach with an ecological design. The study was conducted from November 1, 2024, to July 31, 2025. The population and sample of this study consist of all seven sub-districts in South Tangerang City in 2023, using a total sampling technique. The variables studied included diarrhea incidence in children under five years old, population density, safe sanitation access, supervised drinking water facilities according to standards, and vitamin A supplementation coverage. Secondary data was obtained from the Health Department and the Central Statistics Agency of South Tangerang City in 2023. Results: The study results showed that in 2023, Pamulang Subdistrict had the highest number of diarrhea incidences in children under five years old. The area is also known to have a very high population density, safe sanitation access that is still below the national target, the percentage of supervised drinking water facilities and vitamin A coverage that has reached the national target. Conclusion: Most subdistricts in South Tangerang City in 2023 have high and low rates of diarrhea in children under five years old, and safe sanitation access is still below the national target.

This study analyzes how digital interface design (UI/UX) and system architecture are manipulated to unethically extract user consent, resulting in personal data commercialization and massive online loan (pinjol) spam marketing. Employing a mixed-methods approach, this research combines descriptive quantitative analysis of digital user perception surveys with qualitative observations involving UI teardowns, privacy policy evaluations, and extensive literature reviews. Initial findings indicate a profound crisis of genuine informed consent, exacerbated by the deployment of dark patterns such as pre-ticked checkboxes, disguised opt-out architectures, and information overload engineered into legal documents. This systematic manipulation facilitates unauthorized personal data distribution to third parties under the guise of legitimate agreement, directly triggering privacy intrusions and psychological distress, including severe anxiety among data subjects. Philosophically and morally, these practices constitute a severe breach of Information Technology Professional Ethics (EPTI). Consequently, this study highlights the urgent need for developer accountability and advocates for the implementation of proactive, transparent ethical design frameworks compliant with Human-Computer Interaction (HCI) standards to reclaim digital autonomy.

This community service program aims to enhance farmers’ literacy on independent fertilizer production and strengthen their understanding of farmers’ rights within national fertilizer governance as an effort to achieve food sovereignty. The program was implemented in Belang Village, Bungkal Sub-district, Ponorogo Regency, involving GAPOKTAN Baungan consisting of farmer groups from Tempel, Kepuh, Pakal, Kanigoro, and Klatakan hamlets. This initiative represents cross-university synergy involving lecturers from Universitas Merdeka Malang, Universitas Soerjo Ngawi, Universitas Muhammadiyah Ponorogo, and Akademi Kesejahteraan Sosial Ibu Kartini Semarang. The implementation adopted a participatory hybrid approach combining Zoom Meeting dissemination and offline field activities. Activities included literacy enhancement on independent fertilizer production, training on organic fertilizer processing, strengthening farmer group institutions, and legal literacy regarding farmers’ rights in accessing subsidized fertilizers, including RDKK mechanisms and national policies. Methods comprised participatory socialization, hands-on training, group discussions, field practice, and monitoring and evaluation. Results show improved understanding of independent fertilizer concepts, increased technical skills in organic fertilizer production, and greater awareness of farmers’ rights and obligations in the fertilizer distribution system. The program strengthened inter-university collaboration and farmer networks, supporting sustainability, farmer independence, reduced dependence on chemical fertilizers, and community-based food sovereignty.

Lead (Pb²⁺) contamination in wastewater is a major environmental concern due to its toxicity, persistence, and ability to accumulate in living organisms. Adsorption using biomass-based materials has been developed as an alternative treatment method because it is efficient, economical, and environmentally friendly. This study aimed to analyze the effect of bioadsorbent dosage and contact time on Pb²⁺ removal efficiency and evaluate Pb²⁺ mass distribution using mass balance analysis in a batch adsorption system. Ramie leaf (Boehmeria nivea) was utilized as a bioadsorbent due to its lignocellulosic content, which provides active sites for metal ion adsorption. The research was conducted experimentally through bioadsorbent preparation, chemical activation, and batch adsorption using artificial Pb²⁺ solutions with variations in bioadsorbent dosage and contact time. Pb²⁺ concentrations before and after adsorption were analyzed using Atomic Absorption Spectroscopy (AAS). The obtained data were used to determine removal efficiency and Pb²⁺ distribution between the liquid phase and bioadsorbent. The results showed that ramie leaf bioadsorbent effectively reduced Pb²⁺ concentration, with the optimum condition obtained at 4 g/L bioadsorbent dosage and 90 minutes contact time, achieving 98.46% removal efficiency. Mass balance analysis indicated that Pb²⁺ ions were successfully transferred from the solution phase onto the bioadsorbent surface. These findings demonstrate that ramie leaf bioadsorbent has potential as a sustainable alternative material for heavy metal removal in wastewater treatment.

Flooding remains a recurrent hazard in the Special Capital Region of Jakarta (DKI Jakarta), causing substantial disruptions across multiple dimensions community life, including social well-being and economic activities. The availability of flood-related information through the Jakarta One Data Portal (Satu Data Jakarta) provides significant opportunities for broader data utilization; however, transforming such information into meaningful assessments regional vulnerability requires a systematic analytical approach to generate more comprehensive understanding of the conditions of individual urban villages (kelurahan). This study focuses on the classification areas based on the characteristics and impacts of flood events occurring throughout DKI Jakarta. The analysis utilizes flood event records from 2023 to 2025 and incorporates several indicators, including the number of flood occurrences, the number of affected neighborhood associations (RW), the number affected households, the number of affected residents, the number of evacuees, the number of evacuation sites, and floodwater depth. Data processing was conducted using the Knowledge Discovery in Databases (KDD) framework, encompassing data selection, cleaning and preprocessing, transformation, pattern exploration, result evaluation, and knowledge extraction. The findings demonstrate that three-cluster solution effectively captures variations in flood vulnerability levels, corresponding to low-, moderate-, and high-risk categories. A total of 96 urban villages were classified as low-risk, 27 as moderate-risk, and 46 as high-risk areas. The resulting clustering patterns provide a clearer spatial representation of flood-risk distribution across urban villages, thereby offering valuable insights for the development more targeted mitigation strategies, the prioritization of flood management interventions, and the enhancement of evidence-based decision-making processes in DKI Jakarta.

Anxiety during pregnancy is one of the most common psychological problems experienced by pregnant women, particularly during the third trimester when they face childbirth preparation as well as various physical and emotional changes. If not properly managed, anxiety may adversely affect both maternal and fetal health. This study aimed to describe the level of anxiety among third-trimester pregnant women at Mlati II Public Health Center in 2026. This research employed a descriptive quantitative design with a cross-sectional approach. The study involved 40 third-trimester pregnant women selected using a total sampling technique. Data were collected using the Hamilton Anxiety Rating Scale (HARS) questionnaire and analyzed through univariate analysis in the form of frequency and percentage distributions. The results showed that most respondents were of healthy reproductive age (20–35 years) (92.5%), primigravida (67.5%), had a secondary level of education (70%), and were unemployed (70%). The respondents' anxiety levels were categorized as no anxiety (47.5%), mild anxiety (47.5%), and moderate anxiety (5%), while no cases of severe anxiety or panic were identified. The most dominant anxiety indicators were anxious feelings, tension, respiratory symptoms, and sleep disturbances. These findings indicate that some third-trimester pregnant women still experience anxiety, highlighting the need for early detection, health education, and psychological support through antenatal care services to promote maternal mental well-being during pregnancy.

Land-use changes dominated by impervious surfaces in residential areas reduce the natural infiltration capacity of the soil and increase surface runoff, which may lead to flooding and waterlogging. This study aimed to design a rainwater infiltration well system as an effort to reduce surface runoff in Samudera Afroza 3 Housing Estate, Jambi City. A quantitative approach was employed through field surveys, hydrological analysis, soil permeability testing, GIS-based land-use analysis, and infiltration well design in accordance with SNI 8456:2017 and SNI 03-2453-2002 standards. Rainfall analysis was conducted using maximum daily rainfall data from 2014–2023, applying several probability distributions, with the Gumbel distribution identified as the most representative model. The results revealed that the residential area covers 8,104 m², with 91.84% of the land occupied by built-up surfaces, resulting in limited natural infiltration capacity. The average soil permeability value of 0.00024 m/s indicates favorable conditions for the implementation of infiltration wells. Based on the design calculations, 41 Type III infiltration wells are required, providing a total storage capacity of 289.665 m³ and an infiltration discharge of 0.0919 m³/s. The proposed infiltration well system is capable of reducing runoff volumes by 15.044%, 12.486%, and 11.223% for 2-year, 5-year, and 10-year return periods, respectively. Therefore, infiltration wells can be considered an effective alternative for water conservation and runoff management in residential areas.

In an increasingly competitive business environment, particularly within the tourism industry, an organisation's ability to innovate and design effective strategic planning has become a critical factor in sustaining and improving organisational performance. This study aims to analyse the effect of innovation and strategic planning on organisational performance at Kampung Coklat Blitar Educational Tourism. This study employed a quantitative approach, with data collected through questionnaire distribution involving 53 respondents. The sampling was conducted using a saturated sampling technique (census), in which all members of the population were used as research samples. The sampling criteria consisted of senior-level active employees with a minimum of eight years of work experience and managers at Kampung Coklat Blitar Educational Tourism. Data analysis was carried out using the SPSS software. The results of the study indicate that innovation has a positive and significant effect on organisational performance with a P-value of 0.006 and a T-statistic of 2.869. Furthermore, strategic planning also has a positive and significant effect on organisational performance with a P-value of < 0.001 and a T- statistic of 5.573.

The quality of life and well-being of women in Indonesia can be measured through the Female Life Expectancy indicator. Data on Female Life Expectancy from 2022 to 2024 shows a nationally positive trend; however, a significant disparity persists across provinces, particularly between the Western and Eastern regions of Indonesia. The nation still faces challenges in ensuring an equitable quality of life for women, as evidenced by the national Female Life Expectancy (FLE) in 2024 at 74.21 years, which remains lower than ASEAN counterparts such as Singapore at 83.86 years. Furthermore, regional imbalances are reflected in the performance gap between D.I. Yogyakarta (77.4 years) and West Sulawesi (68.28 years). This study aims to analyze the effects of Women's Income Contribution, Access to Clean Water, the Number of Families Receiving Social Assistance, and Women's Mean Years of Schooling on Female Life Expectancy in Indonesia during the 2022–2024 period. The estimation method applied in this research is the Fixed Effect Model (FEM) via a quantitative panel data regression approach, spanning an observation area of 33 provinces (n=99). Based on the analysis, Female Life Expectancy is proven to be positively and significantly influenced by Women's Mean Years of Schooling and Access to Clean Water. These findings indicate that human resource quality and environmental conditions serve as dominant factors in driving up Female Life Expectancy. Therefore, government policy interventions should ideally focus on expanding educational access for women and ensuring the equitable distribution of clean water infrastructure.

This study aims to analyze the implementation of the MBG policy in fulfilling nutritional needs in North Barito Regency and to identify the obstacles encountered. A qualitative descriptive approach was employed, with MAN Barito Utara and SMAN 4 Muara Teweh as research sites. Data were collected through observation, in-depth interviews, and documentation, then analyzed using Edward III's policy implementation model encompassing four indicators: communication, resources, implementor disposition, and bureaucratic structure. The findings reveal that MBG implementation at both schools has generally been running well but not yet optimally. Communication was structured and food production quality was ensured through certified kitchens. All implementors demonstrated high commitment and enthusiasm, serving as the primary strength of the program. Key obstacles were identified in the resource dimension absence of dedicated nutrition personnel, inadequate distribution space, and minimal nutrition education for students and in the bureaucratic structure dimension, including SOPs not tailored to each school's specific characteristics, informal task divisions lacking official decrees, and the absence of systematic staff substitution mechanisms. The study recommends dedicated budget allocation for distribution facilities, issuance of official task division decrees, SOP refinement, and development of nutrition education modules integrated into teaching and learning activities.