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Geographic Information Systems (GIS) based on ArcGIS are crucial tools for analyzing and visualizing the equitable distribution of Land and Building Tax (PBB) in Nabire Regency. This research aims to design a comprehensive spatial infographic that illustrates PBB distribution and assists the Nabire Regency Revenue Agency (Bapenda) in identifying potential areas for increased revenue. Through the processing of spatial and non-spatial data, the study reveals significant imbalances in PBB collection across different regions, with urban and economic centers showing higher achievements compared to peripheral areas. The resulting thematic maps and pie diagrams effectively visualize the proportion of PBB potential versus realization, highlighting areas with untapped tax potential. These findings underscore that geospatial visualization not only aids in making fair and equitable fiscal policies but also plays a strategic role in raising public awareness and participation in PBB payments, aligning with principles of fiscal justice and optimalization of Local Own-Source Revenue (PAD).

Starfruit (Averrhoa bilimbi L.), commonly known in Indonesia as belimbing wuluh, is widely used as a natural acid in traditional cuisine. It is often processed into dried sour starfruit (asam sunti), which can last 1–1.5 years. However, traditional sun-drying methods are inefficient due to weather dependency, long processing times, and inconsistent product quality and color. This study aims to design and develop a tunnel-type starfruit dryer equipped with a blower system and heat control based on the Arduino Mega 2560. The research employs a quantitative method to evaluate tool performance. The dryer is cylindrical and supported by key components, including LPG gas as a heat source, a blower for air circulation, and a drum holder. Drying is conducted in six stages, each lasting 120 minutes, totaling 12 hours to achieve optimal dryness. Temperature monitoring at three points (T1, T2, T3) uses a MAX6675 sensor with a thermocouple connected to the Arduino Mega 2560, while weight measurement is done manually. Results indicate the tool functions effectively. A denser drying chamber and proper blower installation are recommended to ensure even heat distribution and improved drying efficiency for community use.

Starfruit (Averrhoa bilimbi L.), commonly known in Indonesia as belimbing wuluh, is widely used as a natural acid in traditional cuisine. It is often processed into dried sour starfruit (asam sunti), which can last 1–1.5 years. However, traditional sun-drying methods are inefficient due to weather dependency, long processing times, and inconsistent product quality and color. This study aims to design and develop a tunnel-type starfruit dryer equipped with a blower system and heat control based on the Arduino Mega 2560. The research employs a quantitative method to evaluate tool performance. The dryer is cylindrical and supported by key components, including LPG gas as a heat source, a blower for air circulation, and a drum holder. Drying is conducted in six stages, each lasting 120 minutes, totaling 12 hours to achieve optimal dryness. Temperature monitoring at three points (T1, T2, T3) uses a MAX6675 sensor with a thermocouple connected to the Arduino Mega 2560, while weight measurement is done manually. Results indicate the tool functions effectively. A denser drying chamber and proper blower installation are recommended to ensure even heat distribution and improved drying efficiency for community use.

The global environmental crisis requires a development approach that not only focuses on economic aspects but also on ecological sustainability and humanity's moral responsibility toward nature. The perspective of ecotheology views the environment as a trust that must be preserved through spiritual awareness and social practices. This community service aims to internalize the values of ecotheology to strengthen ecological culture and support sustainable village development. The method used is a participatory approach based on community empowerment through three stages: preparation, implementation, and follow-up. The core activities include educating ecotheology values, fish seed distribution, tree planting, and strengthening waste bank management. The results show an increase in ecological awareness among the community, marked by a change in their view of environmental responsibility, the development of eco-friendly habits, and strengthened social solidarity. The integration of spiritual values in ecological practices has proven effective in building a collective culture that supports village sustainability. This program demonstrates that a value-based approach and direct experience can drive a sustainable transformation of ecological behavior.

Hospital nutrition services are an integral component of improving the quality of patient health. This descriptive observational study aims to evaluate the achievement of Minimum Service Standards (MSS) for nutrition at RSUD Dr. H. Slamet Martodirdjo Pamekasan, specifically focusing on the accuracy of diet types, timeliness of food distribution, and patient food waste. Data were collected over a single menu cycle (10 days) from November 24 to December 4, 2025, involving 44 patients per day. Research instruments included observation sheets and the Comstock visual method, with data analyzed based on the Decree of the Minister of Health (Kepmenkes) No. 129 of 2008. The results indicated that the timeliness of food distribution reached 96% and the accuracy of diet types reached 100%, both of which met the MSS requirements (≥ 90% and 100%, respectively). However, the average patient food waste was 25%, which does not yet meet the maximum standard of ≤ 20%. In conclusion, while logistical aspects have fulfilled the established standards, the hospital needs to conduct further evaluations regarding food flavor factors and patients' clinical conditions to reduce food waste in accordance with the applicable standards.

This study comprehensively analyzes the impact of sectarian conflict on mental health in Kirkuk through an ethnoreligious meta-analysis of 42 studies with a total of N=15,427 participants published between 2003 and 2023. The quantitative synthesis indicates a PTSD prevalence of 47.3% (95% CI: 44.2–50.4) among victims of sectarian conflict, with an uneven distribution across groups, where the Turkmen minority records the highest prevalence at 56.8%, exceeding Arab Sunni at 43.2% and Kurdish at 41.5%. Logistic regression analysis demonstrates that direct exposure to sectarian violence increases the risk of major depression by 3.4 times (OR=3.42, p<.001), anxiety by 2.8 times (OR=2.83, p<.001), and psychosomatic disorders by 2.5 times (OR=2.54, p<.001). Further meta-regression identifies duration of conflict exposure (β=.426, p<.001) and intensity of sectarian violence (β=.389, p<.001) as significant predictors of symptom severity. In contrast to the findings of Cummings et al. (2013) and Eltally (2019), which emphasize the general impact of conflict, this study reveals specific intergenerational trauma patterns within distinct ethnoreligious communities, with the highest transmission observed among families of sectarian massacre victims (d=0.82), while simultaneously highlighting variations in communal resilience across groups as a differential determinant of post-conflict psychosocial dynamics.

Responsibility accounting is a management accounting system that emphasizes the distribution of authority and responsibility at each responsibility center to support the control and evaluation of organizational performance. There are five requirements for implementing responsibility accounting: organizational structure, budgeting, separation of controllable and uncontrollable costs, account code classification, and responsibility accounting reports. This study aims to understand the implementation of responsibility accounting in performance assessment at KSP Kopdit Hiro Heling. The method used in this study is qualitative descriptive, with data collection techniques through observation, interviews, and documentation. The results show that the implementation of responsibility accounting at KSP Kopdit Hiro Heling is still not effective based on the five indicators of responsibility accounting. This condition impacts the suboptimal performance assessment of responsibility centers.

Advances in information technology have changed the way humans obtain and manage information, including in the world of education. School websites have become an important medium for conveying academic, administrative, and school activity information quickly and efficiently. However, not all educational institutions are able to optimize the functions of their websites. This study was conducted to determine user satisfaction with the website of SMP Negeri 5 Kota Jambi using the Webqual 4.0 model and Importance Performance Analysis (IPA). The research method used was a descriptive quantitative approach with data collection through the distribution of questionnaires to 291 respondents from a total population of 1,065 students. The analysis was conducted by measuring the three main dimensions of Webqual 4.0, namely usability quality, information quality, and service interaction quality, then using IPA to map service improvement priorities. The results showed that most users were satisfied with the quality of the website, particularly in  terms of ease of use and service interaction. However, the timeliness of information updates and the responsiveness of the display on mobile devices still needed improvement. Recommendations for improvement focused on the dimensions in the "Concentrate Here" quadrant of the IPA analysis.

This study analyzes the similarities and differences between Japanese and Indonesian compound words, with particular attention to their structural patterns and semantic characteristics. The data were collected from official news websites in Japan and Indonesia, including Asahi Shinbun and Kompas, through observation and note-taking techniques. The collected data were analyzed through the distributional method, and the contrastive analysis was conducted based on morphological theories proposed by Chaer (2015), Katamba (2018), and Kageyama (2016). The findings reveal that ten Japanese and Indonesian compound words share equivalent meanings. From a structural perspective, both languages exhibit various types of compound formations, including noun, adjective, and verb compounds. A notable structural difference is that Japanese compound words may undergo a phonological process known as rendaku. From a semantic perspective, compound words in both languages may be categorized as endocentric and exocentric. However, some compounds do not share the same idiomatic meanings, even though they are constructed from identical lexemes in each language.  

This study analyzes the similarities and differences between Japanese and Indonesian compound words, with particular attention to their structural patterns and semantic characteristics. The data were collected from official news websites in Japan and Indonesia, including Asahi Shinbun and Kompas, through observation and note-taking techniques. The collected data were analyzed through the distributional method, and the contrastive analysis was conducted based on morphological theories proposed by Chaer (2015), Katamba (2018), and Kageyama (2016). The findings reveal that ten Japanese and Indonesian compound words share equivalent meanings. From a structural perspective, both languages exhibit various types of compound formations, including noun, adjective, and verb compounds. A notable structural difference is that Japanese compound words may undergo a phonological process known as rendaku. From a semantic perspective, compound words in both languages may be categorized as endocentric and exocentric. However, some compounds do not share the same idiomatic meanings, even though they are constructed from identical lexemes in each language.  

Improper water management in rice cultivation can lead to water stress, which reduces productivity. Conventional monitoring has limitations on large-scale lands, necessitating more efficient remote sensing technologies. This study aims to develop a water stress identification system for rice plants in the late vegetative phase using multispectral drone imagery integrated with an Artificial neural network (ANN). The research method employs an experimental approach with six water availability levels in Karyamukti Village, Sumedang. Field reference data were obtained through soil moisture sensors converted into Available Water (AW) values. Image processing stages included orthomosaic reconstruction, leaf object segmentation, and transformation of vegetation indices (NDVI, NDRE, GNDVI, etc.) as model inputs. The results show that the ANN model with a four-hidden-layer architecture achieved training and validation accuracies of 94–95%. In the independent testing phase, the model produced an accuracy of 94.60% with an F1-Score of 93.33%. Spatial visualization of the prediction results indicates a consistent water condition distribution across rice plots. In conclusion, the integration of multispectral drones and ANN provides an accurate non-destructive solution for spatial monitoring of water availability in rice plants.

Lifestyle changes, such as smoking habits, low physical activity, and suboptimal sleep patterns, have the potential to affect various health indicators. However, empirical evidence showing a direct link between lifestyle factors and objective health indicators still shows varying results. This study aims to analyze the relationship between lifestyle factors and health indicators in adult respondents, in an effort to provide an empirical picture of behavioral factors related to health conditions. This study used a quantitative approach with a cross-sectional observational analytic design. Data were obtained from 94 respondents who had complete lifestyle data and health examination results. Lifestyle factors analyzed included smoking habits, exercise frequency, and sleep duration, while health indicators included body mass index (BMI), systolic and diastolic blood pressure, blood sugar levels, cholesterol, uric acid, and pulse rate. Data analysis was performed using descriptive statistics, the Shapiro–Wilk normality test, and the Spearman correlation test according to the characteristics of the data distribution. The results showed that smoking habits were significantly associated with diastolic blood pressure (p < 0.05), exercise frequency was significantly associated with BMI and systolic blood pressure (p < 0.05), and sleep duration was significantly associated with uric acid levels (p < 0.05). Meanwhile, the relationship between lifestyle factors and other health indicators did not show statistical significance. These findings indicate that the influence of lifestyle on health is specific to certain indicators and is not evenly distributed across all health parameters. This study concludes that identifying lifestyle factors relevant to certain health indicators is important as a basis for formulating more targeted health promotion strategies.

This study aims to analyze the implementation of Statement of Financial Accounting Standards (PSAK) 109 concerning Accounting for Zakat, Infaq, and Sadaqah at BAZNAS Tegal Regency and to assess its level of compliance with the applicable standards. This research is motivated by the importance of transparency and accountability in the management of zakat funds as a form of responsibility to the public and stakeholders. The study employs a qualitative method with a descriptive approach through observation, interviews, and documentation studies of the institution’s financial statements. The results indicate that BAZNAS Tegal Regency has prepared its financial statements in accordance with the components required by PSAK 109, including the statement of financial position, statement of changes in funds, statement of changes in managed assets, statement of cash flows, and notes to the financial statements. In terms of distribution, presentation, and disclosure, the implementation of the standard has complied both formally and substantively. However, in the aspects of recognition and measurement, the implementation is not yet fully comprehensive, as there has been no realization of non-cash asset receipts and no impairment testing has been applied to non-cash assets. Overall, the implementation of PSAK 109 has been administratively well executed, but further strengthening is required in technical and procedural aspects to ensure more optimal, consistent, and comprehensive application in accordance with sharia accounting principles.

Conflicts in transmigration areas are generally multidimensional and influenced by social, economic, land, and institutional factors. This study aims to identify the forms and distribution of conflicts in three districts of the transmigration area, namely Momi Waren District, Ransiki District, and Oransbari District, as well as to formulate a smart system-based conflict resolution approach through the use of spatial data, local institutions, and local wisdom-based settlement practices. Based on field mapping, four main categories of conflict were identified: 1) Land conflicts occur throughout the transmigration sites in the form of claims to transmigration land that has not been handed over to transmigrants because the compensation price is below normal. In addition, there is no ATR BPN office in South Manokwari Regency, one of whose functions is community empowerment and conflict resolution. 2) Economic conflicts occur because transmigrants are registered and recorded in the population registry, making it easy for them to access capital. Several economic activities in agriculture and transportation services are dominated by transmigrants, causing economic jealousy. 3) Social conflicts occur when the distribution of social assistance is uneven and the excessive use of illegally sold alcoholic beverages causes social unrest. 4) Institutional conflicts occur when civil servants, police, and military personnel are recruited, and not all indigenous Papuans who are nominated can be accommodated, requiring the involvement of tribal councils to formulate recommendations for recruitment that prioritize indigenous Papuans. The root causes of the conflict were analyzed using a root cause analysis approach that covered unclear land boundaries, unequal economic access, weak coordination between institutions, and low social trust due to differences in interests between groups. This study utilizes best practices from the Tribal Council, the South Manokwari Regency Transmigration and Manpower Office, the Religious Harmony Forum, and the Social Services Office as the basis for developing smart maps for an early warning system for conflicts. The results of the study formulate a Smart Conflict Resolution System framework consisting of three main components: (1) participatory spatial mapping of conflicts and key actors, (2) integration of institutional databases and social-customary mediation channels, and (3) design of smart maps as a mitigation and decision-making tool in transmigration areas. This system is expected to strengthen collaborative governance, prevent conflict escalation, and realize inclusive and sustainable management of transmigration areas

This study aims to explore the influence of formal language skills on the use of slang among first-semester students in the English Language and Literature Education Program at Muhammadiyah University Maumere. The method used in this study is a descriptive qualitative approach with subjects consisting of first-year students. Information was collected through observation, questionnaire distribution, and brief interviews about daily language use habits and academic contexts. The findings of this study indicate that the majority of students actively use slang when interacting informally, especially when communicating with peers and on social media platforms. The use of slang serves as a way to express identity, build social solidarity, and facilitate social adjustment. However, deficiencies in formal language skills make it difficult for some students to recognize the appropriate use of language in context, so that elements of slang often creep into academic situations, such as in class discussions and assignment writing. This study concludes that formal language skills have an impact on the use of slang. Students with high formal language skills tend to be better at switching between language varieties according to context, while those with low formal skills are at greater risk of mixing them up.

Whiteleg shrimp (Litopenaeus vannamei) is one of the species that is a national superior commodity. The traffic of shrimp between provinces in Indonesia showed a significant increase in the period 2014-2017 with an average growth of 74.48% per year. Things that need to be considered in distribution activities are determining the number of seeds to be transported, providing oxygen in the packaging container, optimizing the use of low temperatures to suppress metabolic activity. This study was conducted with the aim of determining different densities on survival and determining the optimal density for the survival of whiteleg shrimp (Litopenaeus vannamei) in closed transportation for 36 hours. The method in this study used an experimental method with data collection carried out through direct observation. The experimental design used in this study was a Completely Randomized Design (CRD) with 5 treatment combinations. Density consisted of 1500 individuals/2 liters, 2000/2 liters, 2500 individuals/2 liters, 3000/2 liters and 3500 individuals/2 liters. The main parameters observed were survival and the test parameters measured were DO, temperature, salinity, and pH. The results showed that the best performer was in Treatment (B) with a density of 2,000 individuals with a survival rate of 86.02%. The results of the air quality observation study showed that almost all were still at optimal levels to support the survival of whiteleg shrimp (Litopenaeus vannamei) with an average temperature of 26.22°C. pH 7.18 – 8.08. Dissolved oxygen 3.87 – 8.06 ppm.

This study aims to explore the influence of formal language skills on the use of slang among first-semester students in the English Language and Literature Education Program at Muhammadiyah University Maumere. The method used in this study is a descriptive qualitative approach with subjects consisting of first-year students. Information was collected through observation, questionnaire distribution, and brief interviews about daily language use habits and academic contexts. The findings of this study indicate that the majority of students actively use slang when interacting informally, especially when communicating with peers and on social media platforms. The use of slang serves as a way to express identity, build social solidarity, and facilitate social adjustment. However, deficiencies in formal language skills make it difficult for some students to recognize the appropriate use of language in context, so that elements of slang often creep into academic situations, such as in class discussions and assignment writing. This study concludes that formal language skills have an impact on the use of slang. Students with high formal language skills tend to be better at switching between language varieties according to context, while those with low formal skills are at greater risk of mixing them up.

The use of cosmetics, especially day creams, is increasing along with the high public interest in facial skin care. However, day cream products are still found to potentially contain hydroquinone, a skin whitening agent whose use is restricted because it can cause harmful side effects on skin health. This study aims to identify the presence and determine the levels of hydroquinone in day cream products circulating in District X, Sukoharjo Regency, and to assess their compliance with the regulations of the Food and Drug Monitoring Agency (BPOM). This study was a descriptive analytical study using a purposive sampling technique. A total of 15 day cream products were analyzed, consisting of 8 BPOM-registered products and 7 products not registered with BPOM. Qualitative analysis was conducted using color reaction tests with FeCl₃, Benedict’s, and o-phenanthroline reagents. Furthermore, quantitative analysis was performed using the High Performance Liquid Chromatography (HPLC) method to accurately and specifically confirm the presence and determine the levels of hydroquinone. The results showed that the color reaction test has limitations in specifically identifying hydroquinone. HPLC confirmation revealed the presence of hydroquinone in several day cream samples, with concentrations ranging from 0.024% to 0.150%. These findings indicate the need for stricter monitoring of day cream distribution to ensure the safety of cosmetic products for the wider public.

Software Defined Network is a popular computer network concept today because of the ease of managing network traffic with the control plane. Massive internet usage makes web server services on SDN networks overloaded. There are many load balancing concepts to overcome this problem, one of which is implementing the K-NN algorithm. This study aims to maximize the performance of the K-NN algorithm on SDN networks by optimizing the K value using Grid Search Cross Validation, and adding server status selection logic based on the smallest disk if the server status calculated by K-NN has the same. All implementations of the load balancing concept in this study were created virtually using Open vSwitch and virtualbox. Testing was carried out using CPU, MEMORY, and DISK parameters sent by the server with the help of the psutils component. JMeter software was used for testing by sending data using the POST method. The data type is text/plain with a data size of 1MB, testing was carried out in stages with threads 100, 200, 300, 400. The test results showed that the performance of the K-NN algorithm was running optimally. There was no significant difference in the distribution of the load to the server, this made the optimization and addition of logic successful.

This study presents ReflectAI, a web-based system designed to automate the creation of teaching materials tailored to students' learning styles using behavior data from a Learning Management System (LMS). Student digital activity data—such as logins, material access, forum participation, assignment submission, and quiz results—are extracted and processed using a Hierarchical Clustering algorithm to categorize students into three learning styles: visual, auditory, and kinesthetic. Based on the clustering results, the system automatically generates personalized learning modules using generative AI (ChatGPT API), aligned with each student's learning preferences. Employing a data-driven system development approach, the system was tested with data from 230 students in a mathematics course. The results show diverse learning style distributions and relevant, tailored content generation. ReflectAI is designed to reduce teachers’ administrative workload and enhance personalized and adaptive learning. This system contributes to educational transformation through deep, data-driven technology integration.