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The advancement of digital technology has encouraged the transformation of airport services, including the implementation of Customer Service through Contact Center 172. This study aims to analyze the implementation of Contact Center 172 in improving service responsiveness at Adi Soemarmo International Airport, Boyolali. The study employed a descriptive qualitative approach with a case study method. Data were collected through observation, interviews with five informants, and documentation, and analyzed using the Miles and Huberman interactive analysis model consisting of data collection, data reduction, data display, and conclusion drawing. The findings indicate that the implementation of Contact Center 172 has supported digital service transformation through an integrated communication system that facilitates real-time information delivery and complaint handling. The service has improved Customer Service responsiveness by providing easier access to information, faster response times, and more effective coordination among service units. Supporting factors include competent human resources, integrated systems, and adequate digital facilities, while the main obstacles involve limited internet connectivity, system maintenance disruptions, high complaint volumes, and limited user understanding of digital services. Therefore, strengthening technological infrastructure, improving staff competencies, and increasing public awareness are essential to optimize digital-based airport services.

Acute Respiratory Infection (ARI) remains a major public health problem in Indonesia. Based on the 2025 National Health Reporting System survey, ARI ranked first among diseases with the highest number of cases, reaching more than 14.5 million cases. This study aimed to determine and analyze the relationship between environmental sanitation and nutritional status with the incidence of ARI among children under five following flood disasters in the working area of Panteraja Community Health Center, Pidie Jaya Regency. The study employed a quantitative method with an analytical observational design using a case-control approach. The dependent variable was the incidence of ARI among under-five children, while the independent variables were environmental sanitation and nutritional status. The sample consisted of 122 children under five, including 61 children with ARI and 61 children without ARI. The results of the chi-square test showed a significant relationship between environmental sanitation and ARI incidence (p = 0.000; OR = 0.042; 95% CI = 0.014–0.133), as well as between nutritional status and ARI incidence (p = 0.000; OR = 0.011; 95% CI = 0.001–0.083). These findings indicate that poor environmental sanitation and inadequate nutritional status contribute to the occurrence of ARI among children under five after flooding. Therefore, promotive and preventive efforts, along with regular monitoring of children's nutritional status, are essential to reduce the risk of ARI.

concern for pet owners. Consequently, cat owners seek equipment that can support and simplify their daily pet care activities. However, the busy schedules of many cat owners often make it difficult for them to provide consistent care, raising concerns about the neglect of their pets. To address this issue, this study developed an automatic cat feeding system for a cat enclosure using an experimental research method. The proposed system utilizes a load cell sensor, a Real-Time Clock (RTC), a servo motor, and an ATmega16 microcontroller. The load cell sensor is employed to determine the appropriate food portion based on the cat's nutritional requirements, while the RTC controls the feeding schedule by dispensing food twice a day at predetermined times. The experimental results demonstrate that the system was successfully implemented, with the load cell measurement exhibiting an error rate of 10.71% relative to the predefined set point. Furthermore, the servo motor effectively controlled the valve mechanism, achieving a maximum opening angle of 85 degrees. Overall, the developed system performed reliably and met the expected operational objectives..

Mental health disorders, particularly depression and anxiety, remain major contributors to the global burden of disease and disability. Socioeconomic inequality, including differences in Gross National Income (GNI) per capita, is considered an important factor influencing mental health outcomes. This study aimed to analyze the relationship between GNI per capita and the prevalence of depression and anxiety disorders globally using data from the Global Burden of Disease (GBD) 2023 database. A descriptive ecological study design was conducted using secondary data from 187 countries and regions. Data were analyzed using descriptive statistics, Spearman correlation tests, and regional comparative analysis with ANOVA. The results showed substantial disparities in mental health burden and income distribution across regions. Africa had the highest average prevalence of depression, while Asia showed the greatest variability in anxiety disorders. A significant negative correlation was found between depression prevalence and income levels (r = -0.213; p = 0.003), indicating higher depression rates in lower-income countries. However, anxiety showed a weak and insignificant relationship with income (r = -0.079; p = 0.281). These findings emphasize the need to reduce socioeconomic inequalities and strengthen mental health systems through integrated healthcare services and multisectoral policies.

This research focuses on developing an ERP application accessible through a web platform by utilizing the Laravel framework to support operational data integration within the company. The application development process adopted the Waterfall approach, which was carried out through several sequential stages including requirements identification, system design, implementation, evaluation, and maintenance. Laravel was used as the development framework and MySQL as the database management system. The findings indicate that the developed application is capable of consolidating operational information into a unified platform that can be accessed by different organizational units.

Digital technology advancements have greatly changed how small businesses manage their finances. This change is not only about recording transactions, but it also affects financial control, report preparation, and business decision making. Accounting Information System (SIA) came about as a solution to help small and medium businesses easily, organize, and accurately record their finances, as well as provide reliable financial information. This study aims to explain the role of the Accounting Information System in making it easier to manage the finances of small and medium businesses in the digital age, the benefits gained from using it, and the challenges faced during its implementation. The method used in this research is a literature review, which involves examining books, journals, and other related scientific publications, followed by analysis using a descriptive qualitative approach. Research findings show that using a digital-based Accounting Information System can improve business efficiency, speed up financial reporting, increase transparency, and make it easier for small and medium-sized businesses to get funding access. However, the implementation of the Accounting Information System still faces challenges such as a lack of technological understanding, limited infrastructure, and high implementation costs. Therefore, collaboration and support from various parties are needed to ensure the accounting information system is implemented effectively and sustainably in small and medium businesses.

Good study habits are an important factor in achieving success in elementary school learning. However, based on observations in class 3 of SDN 1 Bugel, it was found that students still show less disciplined behavior during the learning process, especially during group activities, such as talking without permission, not paying attention, and not following classroom rules. This study aims to improve students' study discipline in grade 3 of SDN 1 Bugel by using the Star Rewards system within the cooperative learning model called Numbered Heads Together (NHT). This study uses the Classroom Action Research (PTK) approach with a two-cycle design following the Kemmis and McTaggart model. The research subject is 17 third-grade students from SDN 1 Bugel. Data collection was done through observation, questionnaires, documentation, field notes, and interviews. Data analysis was done using both quantitative and qualitative descriptive techniques. The research results show that using the Star Rewards system in cooperative learning type NHT has significantly improved students' discipline in studying. The average score on the discipline questionnaire increased from 69.5 in cycle I to 85.5 in cycle II, showing an increase of 16.03 points. The minimum score for students has gone up from 50 to 75, showing that all students have improved in terms of discipline. Giving positive reinforcement through stars has been proven to motivate students to be more disciplined, focused, and responsible during learning. This finding suggests that combining the NHT model with the Star Rewards system can be an effective strategy for helping build discipline in elementary school students.

The rapid growth of Solar Power Plant (PLTS) installations in Indonesia faces efficiency challenges due to the continuously changing position of the sun. Fixed panel systems cannot absorb solar radiation optimally throughout the day. This study aims to evaluate and compare the efficiency of various solar tracking system methods developed over the last five years using a simple literature review approach. The research method was conducted by collecting, screening, and synthesizing secondary data from five reputable scientific journals using a synthesis matrix. The review results indicate that single-axis tracking systems increase power efficiency by 15% to 24.5%. Meanwhile, dual-axis systems achieve higher efficiency, ranging from 30% to 35%, by tracking both horizontal and vertical solar movements. In terms of control systems, astronomical algorithms are found to be more reliable in cloudy weather conditions than pure light sensors. However, the internal power consumption of the actuator motors remains a critical factor that can reduce the system's net energy gain. The implication of this study emphasizes the importance of shifting future research focus toward energy-saving algorithm optimization to maximize net power yield in dynamic solar panel implementations.

Breastfeeding should ideally begin immediately after birth and be provided exclusively for the first six months of life. However, in 2022, the coverage of exclusive breastfeeding among infants aged 0–6 months in Jayapura was only 21%, which remains far below the national target of 45%. Various factors contribute to this low coverage, including limited knowledge, lack of experience, insufficient support systems, and concerns among adolescent mothers that breastfeeding may interfere with their education or employment. This study aimed to explore the breastfeeding experiences of adolescent mothers in Wahno Village, Abepura Subdistrict. A qualitative research design was used, with structured interviews conducted using a questionnaire. The results indicated that the initiation of exclusive breastfeeding among adolescent mothers was generally positive. Participants reported mixed emotional experiences, including feelings of happiness, pride, stress, and discomfort. Family support, particularly from husbands, played an important role in sustaining breastfeeding practices. Most respondents also demonstrated adequate knowledge regarding how to manage breastfeeding-related challenges. Overall, adolescent mothers in Wahno Village showed a reasonable level of understanding and commitment toward exclusive breastfeeding. Continued education and support are recommended to further strengthen breastfeeding practices among adolescent mothers and their families.

Manual server administration introduces operational inefficiencies and elevated risks of human error. This study evaluated the effectiveness of server administration automation utilizing Shell scripting and Cron Job scheduling within a virtualized Linux Debian 12 environment. An experimental method compared manual execution against automated procesases based on execution duration, resource consumption, and error reduction. The findings indicated that the automated system executed backup routines within 0.043 seconds, demonstrating a 95.16% time efficiency increase compared to the manual baseline of 0.89 seconds. Automated monitoring maintained a stable resource allocation, utilizing 275 megabytes of memory and low central processing unit usage between 0.0% and 1.3%. Furthermore, automation reduced operational failures to 0%. In conclusion, this integration significantly optimizes server reliability.

Bank Syariah Indonesia (BSI) KCP Bengkong, Batam belum memiliki aplikasi yang mudah diakses untuk mengukur tingkat kepuasan nasabah, sehingga menyulitkan proses evaluasi kualitas layanan dan identifikasi aspek-aspek yang perlu ditingkatkan. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem analisis kepuasan nasabah menggunakan metode Customer Satisfaction Index (CSI). Sistem dikembangkan dengan menggunakan model Waterfall dan dirancang menggunakan Unified Modeling Language (UML). Data dikumpulkan melalui penyebaran kuesioner kepada 30 responden dengan 15 item penilaian. Aplikasi yang dikembangkan diuji menggunakan metode black-box testing dan berhasil diimplementasikan dengan baik. Hasil penelitian menunjukkan nilai CSI sebesar 99,38 yang termasuk dalam kategori “Sangat Puas”. Sistem yang dibangun memberikan sarana yang efektif untuk mengukur tingkat kepuasan nasabah serta mendukung peningkatan kualitas layanan di BSI KCP Bengkong, Batam.

This study aims to analyze the contribution of state and regional taxes to state revenue and regional fiscal independence in Indonesia. Taxes are the primary source of revenue used to finance governance and national and regional development. The study employed a qualitative descriptive method with a literature review approach and secondary data analysis derived from the State Budget (APBN) report, the Central Statistics Agency (BPS), and various scientific articles indexed by Sinta. The data were analyzed to identify the contribution of taxes to state revenue and the role of regional taxes in increasing Regional Original Income (PAD). The results show that tax revenue remains the largest source of state revenue, with dominant contributions coming from Income Tax (PPh) and Value Added Tax (PPN). Furthermore, regional taxes play a crucial role in enhancing regional fiscal capacity and supporting the implementation of regional autonomy. The effectiveness of tax management is influenced by the level of taxpayer compliance, the digitalization of tax administration, and the quality of government oversight. This study implies that optimizing the tax system through digital transformation and increasing public awareness can sustainably strengthen state and regional revenue.

Early Marriage in Pagar Alam City is currently still quite high, the Pagar Alam Religious Court only relies on a recap of the number of cases per year to draw conclusions about the early marriage data. This method has limitations in classifying early marriage factors, so the Religious Court has difficulty in monitoring and controlling the occurrence of Early Marriage in Pagar Alam City. The purpose of this research thesis is to produce a classification system for Early Marriage factors using the K-Nearest Neighbor Algorithm to find out what factors influence the occurrence of Early Marriage, the method used in this study is the Cross Industry Standard Process for Data Mining (CRISP-DM) which has 6 stages, namely: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. The testing stage in this study uses Confusion Matrix and BlackBox Testing. The final results of this study indicate that the system can classify Early Marriage factors. The classification model built achieved an Accuracy of 94.12% and a Precise value of 85.71% and a Recall value of 100.00%, while testing using Black Box testing in the form of alpha obtained a feasibility value of 83.2%, so this system is very suitable for use.  

Pesatnya kemajuan teknologi digital telah mempercepat adopsi *Internet of Things* (IoT) dalam berbagai aspek kehidupan sehari-hari. IoT memungkinkan perangkat fisik untuk berkomunikasi dan bertukar data melalui konektivitas internet, sehingga proses menjadi lebih otomatis, efisien, dan responsif. Studi ini bertujuan untuk menganalisis pemanfaatan IoT dalam meningkatkan efisiensi kehidupan sehari-hari melalui pendekatan tinjauan pustaka. Metode penelitian yang digunakan adalah *Systematic Literature Review* (SLR), yang mengkaji dan menyintesis temuan dari berbagai studi terdahulu mengenai penerapan IoT di berbagai sektor, seperti rumah pintar (*smart home*), layanan kesehatan, transportasi, pertanian, dan pemantauan lingkungan. Hasil analisis menunjukkan bahwa IoT berkontribusi signifikan terhadap peningkatan efisiensi operasional, penghematan energi, perbaikan proses pengambilan keputusan, serta peningkatan kenyamanan pengguna. Terlepas dari berbagai manfaat tersebut, masih terdapat sejumlah tantangan, termasuk keamanan data, masalah privasi, interoperabilitas antarperangkat, biaya implementasi, dan ketergantungan pada infrastruktur internet yang stabil. Temuan studi ini menunjukkan bahwa IoT telah menjadi salah satu teknologi kunci yang mendukung transformasi digital dan peningkatan kualitas hidup. Pengembangan di masa mendatang diharapkan berfokus pada penguatan aspek keamanan, perluasan standar interoperabilitas, dan integrasi kecerdasan buatan (*artificial intelligence*) guna memaksimalkan efektivitas penerapan IoT dalam aktivitas sehari-hari.  

This study compared the performance of SARIMA and Prophet models in forecasting daily close prices of three major Indonesian banking stocks: BBCA, BBRI, and BMRI, using data from January 2020 to March 2026. Data were retrieved via the yfinance library, preprocessed, and split into 80% training and 20% testing sets. SARIMA modeling followed the Box-Jenkins procedure, while Prophet was configured with a Lag-1 regressor, weekly and monthly seasonality, Indonesian public holidays, and log transformation. Model performance was evaluated using MAPE, MSE, and Dstat metrics. Results showed that SARIMA outperformed Prophet in MAPE and MSE across all six stock-variable combinations, with MAPE values ranging from 1.3368% to 1.9386% for SARIMA and 1.5992% to 2.2300% for Prophet. However, Prophet demonstrated marginally higher Dstat values in several series. Both models achieved "Very Good" forecasting accuracy. A web-based forecasting system was also developed using Streamlit to make the models accessible to investors.

Image Quality Assessment has become an important research area in computer vision due to the increasing use of digital imaging in medical, industrial, and remote sensing applications. This study conducted a Systematic Literature Review (SLR) using articles retrieved exclusively from the Scopus database. A total of fifteen Scopus-indexed articles were selected through the PRISMA process consisting of identification, screening, eligibility, and inclusion stages. The findings indicated that convolutional neural networks, transformer architectures, and no-reference approaches dominated recent studies because of their ability to capture complex visual features and improve evaluation accuracy. The application domain strongly influenced method selection, particularly in medical imaging, industrial quality control, and remote sensing. Deep learning methods achieved high performance but required large datasets and high computational resources. Overall, recent research trends shifted from traditional image enhancement toward artificial intelligence-based quality evaluation.

The emergence of Internet of Things (IoT) technology has opened up considerable possibilities for automation systems aimed at enhancing energy efficiency in both home and office settings. This study focuses on the creation and deployment of an IoT-driven Smart Home system utilizing ESP32 for the automatic and manual supervision and regulation of electrical appliances within the Employee Dormitory of the Institute for Lecturer Performance Development (LPKD). The established system employs a Passive Infrared (PIR) sensor for detecting human presence and a Light Dependent Resistor (LDR) sensor to assess the intensity of light in the room. The data from these sensors is analyzed by the ESP32 microcontroller, which controls lights and fans automatically through relay modules based on the surrounding conditions. Furthermore, the system is linked to the Blynk application and the Telegram Bot API to enable remote operation and immediate notifications. The methodological approach taken in this research is Research and Development (R&D) employing a prototyping method. The assessment outcomes show that the system functions reliably, with success rates for sensor detection and appliance management exceeding 95%. The introduction of this system aims to boost electrical energy efficiency, improve user experience, and facilitate the adoption of IoT-centered smart facility management within the LPKD framework.

The development of digital financial technology has accelerated the transition from cash-based to cashless payment systems across various economic sectors, including traditional markets. One of the most widely adopted innovations is the Quick Response Code Indonesian Standard (QRIS), which offers convenience, speed, and security in financial transactions. This study aims to analyze the role of digital financial literacy in supporting the utilization of QRIS and its implications for the profitability and business sustainability of traditional market traders in Surabaya. The study employed a descriptive qualitative approach, with data collected through observation and documentation of traders' transaction activities. The findings indicate that the utilization of QRIS among traditional market traders remains suboptimal. This condition is influenced by limited digital financial literacy, insufficient technological skills, and the readiness of business owners to adopt digital payment systems. In addition, concerns regarding transaction security and limited technological competence, particularly among elderly traders, remain significant barriers to digital transformation. Nevertheless, digital financial literacy has been shown to improve transaction efficiency, facilitate financial record-keeping, reduce transaction errors, and support more effective business management. Therefore, strengthening digital financial literacy is a strategic factor in optimizing QRIS adoption to enhance profitability and ensure the long-term sustainability of traditional market businesses in the digital economy.

The rapid development in the field of information and communication technology currently requires students to master Microsoft Word. This skill becomes a crucial asset, both to support academic activities and as early preparation before entering the workforce. One of the applications frequently used in document preparation is Microsoft Word. Observation data at SMK Ibrahiny 1 Sukorejo indicate that the utilization of Microsoft Word features by some students is not yet optimal. This is evident in the students' limitations in configuring layouts, margins, as well as creating headers and footers in documents. In order to achieve efficiency and speed in the creation of administrative documents, this training is focused on enhancing students' competencies in exploring the features of Microsoft Word. This training was conducted on June 1, 2026, in the computer lab of SMK Ibrahimy 1 Sukorejo, involving 15 students from the 10th grade forestry department as participants. The method used during the training included the delivery of basic material followed by direct practice and the use of a system roll method on each computer to identify obstacles or challenges in preparing administrative documents, as well as direct assistance to students to quickly resolve any issues and ensure no one misses the material. The purpose of this training is to improve efficiency in properly and accurately preparing administrative documents. Therefore, the organization of Microsoft Word training can be categorized as a strategic step in boosting the digital skills of the students.

Corruption committed by the leader of an independent state oversight institution represents a paradox that fundamentally undermines the legitimacy of government governance. This study examines the case of Hery Susanto, Chairman of the Ombudsman of the Republic of Indonesia, who was designated as a corruption suspect by the Attorney General's Office on April 16, 2026—merely six days after his inauguration—in connection with alleged bribery of Rp1.5 billion from PT Toshida Sulawesi Hijau Indonesia involving the management of Non-Tax State Revenue (PNBP) in the nickel mining sector for the period 2013–2025. This study aims to analyze the manifestation of the three elements of the Fraud Triangle—pressure, opportunity, and rationalization—within this case, and to formulate systemic implications for corruption prevention in independent state institutions. Employing a normative-empirical legal research approach with a case study method, data were collected through documentation and qualitative content analysis of legal documents, official press releases from the Attorney General's Office, and verified media reports. The findings reveal that pressure stemmed from financial motivation and career ambition; opportunity arose from weak internal oversight mechanisms, the perpetrator's strategic position, and regulatory gaps in Law Number 37 of 2008; while rationalization manifested through cognitive justification that framed the receipt of compensation as a reasonable reward for services rendered. This study contributes to the literature on forensic accounting and corruption criminology, while recommending the establishment of an independent Ombudsman Supervisory Board and the strengthening of a digital-based early detection system.