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Stunting merupakan masalah kesehatan masyarakat yang masih menjadi prioritas di Indonesia dan dipengaruhi oleh berbagai faktor, termasuk faktor lingkungan. Pengelolaan sampah rumah tangga yang tidak aman berpotensi meningkatkan risiko penyakit infeksi yang dapat mengganggu pertumbuhan anak. Penelitian ini bertujuan untuk menganalisis hubungan antara pengelolaan sampah rumah tangga dengan kejadian stunting pada balita di Desa Ngadirojo Kidul, Kecamatan Ngadirojo, Kabupaten Wonogiri. Penelitian ini menggunakan desain observasional analitik dengan pendekatan case control. Sampel penelitian berjumlah 72 balita yang terdiri dari 36 kasus (stunting) dan 36 kontrol (tidak stunting) dengan perbandingan 1:1. Data dikumpulkan melalui pengukuran status gizi berdasarkan indikator tinggi badan menurut umur serta wawancara menggunakan kuesioner untuk menilai praktik pengelolaan sampah rumah tangga. Analisis data dilakukan secara bivariat untuk mengetahui hubungan antara variabel paparan dan kejadian stunting. Hasil penelitian menunjukkan bahwa sebagian besar keluarga belum menerapkan pengelolaan sampah yang aman, dan terdapat hubungan antara pengelolaan sampah rumah tangga dengan kejadian stunting pada balita. Penelitian ini menyimpulkan bahwa praktik pengelolaan sampah rumah tangga merupakan salah satu faktor lingkungan yang berpotensi berkontribusi terhadap kejadian stunting. Oleh karena itu, diperlukan intervensi berbasis lingkungan untuk mendukung upaya percepatan penurunan stunting di tingkat desa.

Stunting merupakan masalah kesehatan masyarakat yang masih menjadi prioritas di Indonesia dan dipengaruhi oleh berbagai faktor, termasuk faktor lingkungan. Pengelolaan sampah rumah tangga yang tidak aman berpotensi meningkatkan risiko penyakit infeksi yang dapat mengganggu pertumbuhan anak. Penelitian ini bertujuan untuk menganalisis hubungan antara pengelolaan sampah rumah tangga dengan kejadian stunting pada balita di Desa Ngadirojo Kidul, Kecamatan Ngadirojo, Kabupaten Wonogiri. Penelitian ini menggunakan desain observasional analitik dengan pendekatan case control. Sampel penelitian berjumlah 72 balita yang terdiri dari 36 kasus (stunting) dan 36 kontrol (tidak stunting) dengan perbandingan 1:1. Data dikumpulkan melalui pengukuran status gizi berdasarkan indikator tinggi badan menurut umur serta wawancara menggunakan kuesioner untuk menilai praktik pengelolaan sampah rumah tangga. Analisis data dilakukan secara bivariat untuk mengetahui hubungan antara variabel paparan dan kejadian stunting. Hasil penelitian menunjukkan bahwa sebagian besar keluarga belum menerapkan pengelolaan sampah yang aman, dan terdapat hubungan antara pengelolaan sampah rumah tangga dengan kejadian stunting pada balita. Penelitian ini menyimpulkan bahwa praktik pengelolaan sampah rumah tangga merupakan salah satu faktor lingkungan yang berpotensi berkontribusi terhadap kejadian stunting. Oleh karena itu, diperlukan intervensi berbasis lingkungan untuk mendukung upaya percepatan penurunan stunting di tingkat desa.

This study aims to examine the impact of digital transformation in accounting and the effectiveness of internal control systems on the quality of financial reports in an integrated logistics services company. The method used is a quantitative approach using Structural Equation Modeling-Partial Least Squares (SEM-PLS), with data collected from 35 respondents who are involved in financial and accounting activities within the company. The analysis focuses on evaluating the relationships between digital transformation, internal control systems, and financial reporting quality. The research findings indicate that digital transformation in accounting (coefficient = 0.658; p-value = 0.000) and internal control systems (coefficient = 0.308; p-value = 0.023) have a positive and significant effect on the quality of financial reports. Furthermore, the coefficient of determination (R²) value of 0.822 shows that both independent variables are able to explain 82.2% of the variation in financial report quality, while the remaining percentage is influenced by other factors outside the model. These results confirm that the implementation of digital technology supported by an effective internal control system can significantly improve the accuracy, relevance, timeliness, and reliability of financial reporting in organizations.

This research is based on the reality that classroom management often tests teachers' emotional stability, especially when dealing with highly active students. This study focuses on how teachers use emotional intelligence to control themselves when facing challenging learning situations. The purpose of this study is to describe the forms of emotional regulation carried out by teachers and their influence on the effectiveness of classroom management. The research was conducted using a qualitative descriptive approach through observations and interviews with teachers. The results show that effective emotional management is carried out through several methods, such as increasing self-awareness to recognize stress triggers, pausing before responding to student behavior, and trying to understand the background of student activity through empathy. Teachers with good emotional intelligence tend to be able to direct student activity into more positive learning participation, rather than responding to it with reactive or authoritarian responses. This study emphasizes the importance of strengthening psychological aspects and emotional management skills in teacher professional development programs. Emotional maturity not only helps create a more harmonious classroom atmosphere but also forms the basis for inclusive learning interactions and supports the continuous development of student character.

Facies analysis and thin-section petrography are complementary and essential approaches for determining the lithological characteristics of deep-water deposits. Deep-water sediments are formed by diverse depositional processes such as turbidity currents, debris flows, slumps, and pelagic suspension settling, producing a wide range of lithofacies with distinctive textural, compositional, and sedimentary structural attributes. This literature review synthesizes studies that apply facies analysis and thin-section petrography to characterize deep-water deposits across various basins and geological ages worldwide. Field-based facies analysis emphasizes lithology, sedimentary structures, bed geometry, and vertical–lateral facies relationships to reconstruct depositional environments. In contrast, thin-section petrography provides microscopic insights into mineral composition, grain texture, cement types, porosity, and diagenetic features that are not observable in the field. The integration of these methods, often combined with advanced techniques such as XRD, SEM, and geochemical analyses, has proven effective in distinguishing lithofacies, understanding sedimentary processes, and evaluating reservoir quality. The review highlights that grain size, sorting, cement type, pore-throat size, and diagenetic processes are key controls on lithological characteristics and reservoir potential in deep-water systems. Therefore, the combined application of facies analysis and thin-section petrography provides a comprehensive framework for interpreting deep-water sedimentary systems.

Type 2 diabetes mellitus has now become a widespread health issue with serious implications for public health. In an effort to support non-pharmacological management, the use of aloe vera (Aloe vera) decoction is one option being considered, given that this plant contains bioactive components such as aloin, emodin, and polysaccharides that have the potential to help lower blood glucose levels. This study aims to examine the effect of consuming aloe vera (Aloe vera) decoction on lowering blood sugar levels in patients with type 2 diabetes mellitus in Lampaseh Lhok Village, Montasik Subdistrict, Aceh Besar. The research was conducted from June 19 to 28, 2025, in that area. The study design employed a quantitative research approach using a quasi-experimental design with a one-group pretest-posttest model. The study population consisted of 38 patients with type 2 diabetes mellitus, while the sample comprised 15 respondents. Sampling was conducted using purposive sampling. The measurement tools included a glucometer and an observation sheet. Based on the data analysis results, a decrease in blood glucose levels was observed after the respondents consumed the aloe vera decoction. The Wilcoxon signed-rank test yielded a p-value of 0.001 (< 0.05), leading to the conclusion that the administration of the aloe vera (Aloe vera) decoction has a significant effect on reducing blood glucose levels in the respondents. Therefore, respondents are advised to drink aloe vera tea at least once a day as an alternative measure to help control blood glucose levels.

This study analyzes the performance of three types of controllers—PID, Fuzzy-PID, and Model Predictive Control (MPC)—in maintaining water level stability in a dam system. Proper water level regulation is essential to prevent flooding, ensure adequate water distribution, and maintain the structural safety of the dam. Previous studies have widely implemented PID and Fuzzy-PID controllers; however, MPC offers significant advantages through system prediction and multivariable optimization. This research compares the performance of the three controllers through simulation analysis using a second-order mathematical model. The results indicate that MPC has the potential to deliver a faster settling time and a smaller steady-state error compared to PID and Fuzzy-PID, although it requires higher computational complexity.

This study was conducted at PT. Asmin Bara Bronang, Sepan Uring Village, Kapuas Tengah District, Kapuas Regency, Central Kalimantan Province, with the aim of analyzing the productivity and influencing factors of the PC 300 excavator in coal getting activities to support the achievement of production targets. The objective of this research is to analyze the actual productivity and the factors affecting it in Sector 7 coal getting operations. The research method used field observation with a quantitative descriptive analysis approach. The results show that the productivity of the PC 300 excavator ranges from 127.12 to 224.29 tons/hour, with an average of 173.98 tons/hour. In several conditions, the productivity is still below the company’s target of 180 tons/hour. The analysis indicates that productivity is influenced by material conditions, particularly the Hardgrove Grindability Index (HGI) value of 47, which reflects relatively harder material with coarser particle size, and a moisture content of 22.71%, causing the material to be sticky and cohesive, thereby affecting the bucket filling process. In addition, operational factors such as bottom loading patterns, limited number of tailgate dump trucks, and suboptimal selection of dump truck types also contribute to productivity performance.  Based on the findings, it can be concluded that the productivity of the PC 300 excavator has not consistently met the company’s target. Therefore, improvement efforts are required, including the implementation of top loading methods, increasing the number of tailgate dump trucks, optimizing the selection of hauling equipment, and controlling material conditions that affect the digging process.    

This study discusses the design and simulation of an automatic lighting system based on a photodiode sensor using an Arduino Uno microcontroller as the main controller. The system is designed to detect changes in ambient light intensity and automatically control the lamp without human intervention. The photodiode sensor is used as a light detector that converts light energy into an analog electrical signal, which is then processed by the Arduino to determine bright or dark conditions. The output from the Arduino subsequently controls a relay module that functions as an electronic switch to connect or disconnect the current to the light bulb. The research method employed is an experimental approach, which includes system planning, hardware design, software programming, simulation using Proteus, and system performance testing. The simulation results indicate that the system operates as expected, where the lamp automatically turns on when the light intensity decreases and turns off when the ambient brightness increases. This system is expected to improve electrical energy efficiency and provide ease of operation for lighting control, particularly in public facilitiesand workplace environments.

The growth of aviation activities at I Gusti Ngurah Rai International Airport, Bali, has led to the rapid development of surrounding areas, potentially obstructing protected airspace. Obstacles on the approach surface of Runway 27 have become a critical concern, particularly for precision approach Category II (CAT II) operations, which require obstacle-free approach areas. This study aims to analyze obstacles within the approach area of Runway 27 and develop effective control strategies. Using a descriptive qualitative approach, data was collected through field observations, interviews, and documentation studies. The analysis follows the Obstacle Limitation Surfaces (OLS) standards according to ICAO and national regulations. The findings reveal obstacles such as mangrove vegetation, antennas, and ship activities in the Benoa Harbor area, which are located within the approach surface and could potentially impact the OLS limits. While these obstacles generally comply with existing regulations, their proximity to the threshold may reduce the safety margin of flight operations and limit CAT II implementation on Runway 27. This study proposes technical, operational, regulatory, and preventive strategies to improve obstacle control, enhancing aviation safety and ensuring the readiness for CAT II operations at the airport.

Fertilization serves as a fundamental component of crop cultivation, wherein the application of mineral nutrients is crucial for plant nourishment, facilitating various physiological processes critical for growth and development. The objective of this study is to establish an optimal recommended dosage that enhances cabbage growth and yield. The experimental design employed in this study was a randomized block design with four replications. The treatments consist of seven fertilization levels, as follows: No fertilization with nitrogen (N), phosphorus (P), or potassium (K) (P0), reference fertilization (P1), 0.5 dose of unbalanced compound fertilizers (P2), 0.75 dose of unbalanced compound fertilizers (P3), 1.0 dose of unbalanced compound fertilizers (P4), 1.25 dose of unbalanced compound fertilizers (P5), and 1.5 dose of unbalanced compound fertilizers (P6). The experiment indicated that the application of unbalanced compound fertilizers enhances cabbage plant growth, as evidenced by increased plant height and leaf number compared to the control treatment. Additionally, fertilization improves yield components relative to untreated plants. The application of 0.5 doses of unbalanced compound fertilizers proves agronomically effective, yielding the highest relative agronomic effectiveness at 169%, meaning a 1.69-fold increase in yield. Economically, the same dosage is also highly beneficial, achieving the highest R/C ratio of 2.35 and generating a profit of Rp. 14,365,150. The study results confirm that unbalanced compound fertilizers were both agronomically effective and economically advantageous. The recommended dosage for cabbage cultivation is 134 kg/ha, applied in two stages: 50% at 1 WAT (weeks after transplanting) and the remaining 50% at 4 WAT.

Vegetables are food commodities widely consumed by the public due to their high nutritional content. Chili (Capsicum annuum L.), green beans (Phaseolus vulgaris L.), and Chinese cabbage (Brassica pekinensia L.) are among the vegetables that can be processed into various delicious dishes or consumed fresh as raw vegetables. To obtain healthy and high-quality vegetable crops, pesticides are commonly used to control pests that may damage the plants. One of the widely used pesticides is chlorpyrifos, which can leave residues that may pose both acute and chronic health risks. Therefore, it is necessary to analyze the levels of chlorpyrifos pesticide residues in vegetables. The residue levels were determined using a UV-Vis spectrophotometer at a wavelength of 230 nm with dichloromethane as the solvent, while qualitative analysis was performed using HPLC by comparing the retention times of standard solutions and vegetable samples. In this study, washing treatments were applied to the vegetables using dichloromethane, distilled water, well water, and tap water (PDAM) to evaluate the effect of washing on pesticide residue levels. The concentrations of pesticide residues in unwashed vegetables were chili (2.6680 ± 0.0214 mg/kg), green beans (2.4658 ± 0.0193 mg/kg), and Chinese cabbage (2.7950 ± 0.0379 mg/kg). The washing process was carried out three times for each solvent. After three washings using dichloromethane and distilled water, pesticide residues were no longer detected, whereas washing with tap water (PDAM) and well water still left residues, although at levels much lower than the Maximum Residue Limit (MRL). The health risk assessment showed that the aHQ and cHQ values were < 1, indicating that consumption within the recommended limits of these samples does not pose health risks, either in the short term or long term. This study provides important information that repeated washing is necessary to effectively reduce pesticide residue levels in vegetables before consumption.  

Modern infrastructure development often involves the use of mass concrete in large structural elements such as pile caps and foundations. However, massive concrete volumes trigger a significant temperature increase due to the heat of hydration that is difficult to dissipate, posing a risk of thermal stress and structural cracking. This study aims to analyze the temperature rise behavior of mass concrete and evaluate the effectiveness of combining chilled water and fly ash substitution in minimizing these thermal cracking risks.The research method employs a quantitative approach through laboratory testing at PT Adhimix RMC Plant Kaligawe. Specimen blocks measuring 40 x 40 x 100 cm were divided into three variations: normal concrete (BN), concrete with chilled water and 15% fly ash (BAF), and concrete with 25% fly ash (BF). Temperature was monitored using thermocouples at the core and surface for 14 days, then validated using the Portland Cement Association (PCA) formula. The results indicate that the integration of chilled water with 15% fly ash and the use of 25% fly ash significantly controlled extreme temperature surges at the 5th hour. The combination of chilled water and 15% fly ash produced the lowest core temperature of 37.3°C, far below the control concrete which reached 62.4°C. This proves that the combination of precooling methods and fly ash substitution is effective in reducing the heat of hydration during the early hardening period, although the use of 25% fly ash was found to be more stable in maintaining mass concrete temperature.

The food and beverage industry in Indonesia is growing rapidly through digital marketing, particularly through the role of influencers in influencing consumer preferences and purchase intentions. Several influencers are no longer merely collaborating with brands, but are also becoming business owners by leveraging their personal branding and follower base. However, when promoting their own products, the effectiveness of these strategies on purchase intentions is not always consistent. This study aims to examine the influence of the Theory of Planned Behaviour on purchase intention and analyse the role of Parasocial Relationship through influencer authenticity and influencer trustworthiness in regional cuisine at RM Padang Payakumbuah. The research uses a quantitative approach with data from 182 respondents in the Special Region of Yogyakarta, analysed using PLS-SEM. The results show that attitude and influencer authenticity do not have a significant effect on purchase intention, while subjective norm and perceived behavioural control have a significant effect. Furthermore, influencer trustworthiness strengthens the relationship between perceived behavioural control and purchase intention. These findings emphasise the importance of social recommendations, ease of purchase access, and building trust towards influencers.

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 aims to analyze the influence of effective communication on the emotional intelligence of early childhood. Effective communication is the process of conveying clear, empathetic, and responsive messages between educators or parents and children, which plays a crucial role in shaping children's abilities to recognize, understand, and manage emotions. Emotional intelligence is an essential aspect of child development because it supports social adaptation, self-regulation, and positive interpersonal relationships. The research method used was a quantitative approach with a correlational design. The subjects were early childhood education institutions attending early childhood education institutions, with data collection techniques through observation, questionnaires, and documentation. Data were analyzed using statistical procedures to determine the relationship between the variables studied. The results showed a significant influence between effective communication and children's emotional intelligence. Children who receive good communication tend to have higher empathy skills, are able to control their emotions, and establish positive social relationships. In addition, effective communication helps children express their feelings appropriately and develop self-confidence. Thus, effective communication is an important factor in the development of emotional intelligence in early childhood. This research is expected to serve as a reference for educators and parents in improving the quality of interactions with children and supporting optimal child development.

Micro, Small, and Medium Enterprises (msmes) play an important role in supporting regional economic growth. However, business sustainability often faces various risks that may hinder the achievement of business objectives. This study aims to analyze the implementation of risk management at Valerie Bag's Boutique in Maumere, Sikka Regency. The research employed a qualitative descriptive method, with data collected through observation, interviews, and documentation. Data analysis was conducted through the stages of data reduction, data presentation, and conclusion drawing. The findings indicate that Valerie Bag's Boutique faces four main categories of risk: supply risk, operational risk, market risk, and financial risk. Market risk and financial risk are the most dominant due to intense business competition, rapidly changing fashion trends, inventory accumulation, and delayed customer payments. Risk control strategies implemented by the boutique include enhancing digital marketing efforts, conducting regular inventory management, improving service quality, strengthening operational supervision, and maintaining better financial records. The study concludes that effective risk management implementation can contribute significantly to improving business sustainability and enhancing the competitiveness of msmes in the fashion sector

The rapid growth of digital marketplaces has significantly reshaped consumption behavior among university students. Promotional strategies based on scarcity and urgency, such as flash sales, limited-time discounts, and countdown timers, are designed to induce psychological pressure, potentially triggering Fear of Missing Out (FoMO). This study aims to examine the relationship between self-control and FoMO among university students who use digital marketplaces. A quantitative correlational design was employed, involving 70 undergraduate students selected through accidental sampling. Self-control was measured using the Brief Self-Control Scale, while FoMO was assessed using an adapted Online FoMO Scale. Data were analyzed using Pearson’s product-moment correlation after fulfilling normality assumptions. The results revealed a significant negative relationship between self-control and FoMO (r = –0.522, p < .001), indicating that individuals with higher self-control tend to experience lower levels of FoMO in marketplace contexts. These findings highlight the role of self-regulation as a protective factor against emotionally driven consumption behavior. This study contributes to the literature on digital consumer psychology by extending the concept of FoMO beyond social interaction into economic decision-making contexts. Strengthening self-control is therefore essential in helping individuals manage psychological pressure arising from urgency-based marketing strategies.

The current research examines the effect of the Student Teams Achievement Division (STAD) cooperative learning model on Indonesian language outcomes among sixth-grade students at SD Negeri 106805 Manunggal. Operating within a quantitative framework, this quasi-experimental research utilized a non-equivalent control group design. The sample comprised 50 students, classified into a control group (23 students) and an experimental group (27 students). Data collection involved observations, documentation, alongside pretest and posttest scores. The 10-item essayThe instrument achieved a high level of reliability, with Cronbach’s Alpha coefficients of 0.700 on the pretest and 0.807 on the posttest. Diagnostic tests confirmed the data were normal and homogeneous. The experimental group achieved a substantial learning improvement of 42.04, significantly outperforming the control group's gain of 17.39. The independent sample t-test yielded a critical significance value of 0.000 < 0.05, confirming that the STAD model exerts a significant and positive influence on student’s indonesian language achievement.

This study aims to analyze people's online shopping behavior and assess its impact on family economic conditions. The development of digital technology has transformed people's consumption habits, particularly in shopping activities, which are now increasingly practical through online platforms. Easy access, product diversity, and various payment options have made online shopping a dominant trend. However, this convenience also has the potential to foster consumer behavior that impacts financial stability. This study aims to analyze bold shopping patterns and their impact on household financial conditions. The approach used is descriptive qualitative library research, collecting and analyzing data from various scientific journals, articles, and related references. The study findings indicate that online shopping has diverse effects: on the one hand, it offers time and cost savings, but on the other hand, it can lead to waste and indiscipline in family budget management if not supported by adequate self-control. Therefore, an understanding of financial management and digital literacy is crucial to ensure optimal use of technology without harming family economic well-being. Furthermore, this phenomenon requires synergy between digital platform policies and consumer education to mitigate the risk of impulsive buying. This research confirms that psychological factors often outweigh objective needs in digital transactions. As a recommendation, adaptive financial management support strategies are needed for families in this era of disruption to maintain domestic economic resilience against the pressures of a modern lifestyle.