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This study aims to describe the morphological forms of slang, explain the processes of its formation, and analyze its frequency and distribution in the TikTok content of the account @shadirafirdausi. The study is motivated by the rapid development of slang on social media, particularly TikTok, as a platform where young people express identity, creativity, and social interaction. A qualitative descriptive method was employed using documentation techniques on three TikTok videos, including captions and comments with the highest numbers of views and likes during June–August 2025. Data were analyzed using the interactive model of Miles and Huberman, consisting of data reduction, data display, and conclusion drawing. The findings identified 36 slang words and phrases classified into four morphological processes: phonological modification (30.6%), shortening (30.6%), affixation (25.0%), and compounding with foreign element adoption (13.9%). Phonological modification and shortening were the dominant processes, while affixation and English borrowings further enriched the language forms. These findings demonstrate that slang in @shadirafirdausi’s TikTok content is formed through creative, productive, and adaptive morphological processes that reflect the preference of young speakers for concise, expressive, and easily understood language in digital communication.

Semarang Regency is experiencing dynamic urban development as an impact of regional economic growth and its position in the Kedungsepur metropolitan agglomeration. This spatial dynamic requires continuous monitoring to understand its growth patterns. This study aims to analyze the morphology of urban development in Semarang Regency by utilizing Nighttime Light (NTL) remote sensing data from the VIIRS sensor for two periods: 2014 and 2024. The clockboard zones method was applied to analyze spatial patterns of light intensity distribution, identifying multi-centric development tendencies and urban sprawl phenomena with a total light intensity increase 86,13%. The results indicate that urban development in Semarang Regency does not converge toward a single center but is distributed along transportation corridors and secondary activity nodes, particularly in Ring 2 and Ring 3 zones. These findings offer strategic insights for spatial planning, regional development policy, and infrastructure provision.

Semarang Regency holds a strategic geographical position as a transit hub along the Semarang–Solo–Yogyakarta corridor, supported by diverse tourist attractions and strong economic performance. Despite recording 744,659 domestic tourist movements in March 2026 based on Mobile Positioning Data, the regency failed to enter the top ten most-visited destinations in Central Java during the 2026 Lebaran holiday, with only 139,816 visits recorded at its ten leading attractions. This yields an indicative conversion rate of approximately 18.8 percent at the Lebaran peak, meaning more than 80 percent of movements passing through the regency did not translate into recorded tourism visits. This study employs a descriptive quantitative method supported by explanatory qualitative analysis (sequential explanatory mixed methods), triangulating four secondary data sources to identify the competitive gap, analyze conversion disparities, and formulate improvement strategies toward Lebaran 2027. Findings indicate that the primary drivers of low conversion are the transit-only behavior of the majority of visitors and accessibility constraints at the Bawen–Ambarawa–Bandungan corridor. The study recommends four priority strategies: integrated single-window digital data management via Application Programming Interface; private-vehicle-based traffic and access management; four anchor-themed festival clusters across 14 sub-districts; and the formalization of Pangsar Sudirman Night Market and Kuda Lumping Festival as official tourism events. Achieving the minimum target of 203,458 visits to enter the top ten requires an increase of at least 63,642 visits (approximately 45 percent above the current recorded baseline).

Asset inventory management is vital for enhancing the operational efficiency of an organization. At the Communication and Informatics Office of Tegal Regency, the process for managing asset inventory is still performed manually, leading to various issues including challenges in asset documentation, data retrieval, management of borrowing, reporting damage, and overseeing the condition of assets. This research intends to create a web-based asset inventory management solution that leverages Quick Response (QR) Code technology to boost the effectiveness, efficiency, and precision of inventory management. The methodology employed for the system's development was Agile Development, which includes stages such as planning, analyzing requirements, designing the system, developing, testing, and conducting iterative evaluations. Data gathering was conducted through observation, interviews, and reviewing existing literature. The completed system offers several key features, such as inventory management, the ability to generate and scan QR Codes, processes for borrowing and returning assets, damage reporting, a monitoring dashboard, and management of user access based on roles.  The findings reveal that the implemented system enhances asset identification through QR Codes, delivers real-time inventory data, and enables more efficient monitoring of assets. According to Black Box Testing results, all functionalities of the system performed in alignment with the identified functional requirements. Consequently, the web-based asset inventory management system utilizing QR Code technology can act as a useful solution to enhance the asset inventory management quality at the Communication and Informatics Office of Tegal Regency.

Advancements in information technology encourage MSMEs to utilize information systems to enhance the effectiveness of their business management. Es Teh Arjuna, an MSME in Tegal City, faces challenges in monitoring partner sales and managing revenue because transactions are recorded manually using disparate methods; this results in slow data recapitulation, a risk of recording errors, and difficulty for the business owner in quickly accessing sales information. This study aims to analyze requirements, design, develop, and test a web-based information system for partner sales and revenue that provides information in  real-time. The Waterfall model was used for system development, while data collection involved observation, interviews, and a literature review. The system was developed using PHP and MySQL and tested via Black Box Testing. The results demonstrate that the system successfully integrates sales data from all outlets into a centralized database, streamlining the management of products, outlets, employees, cashiers, and sales transactions, as well as facilitating the generation of revenue reports for specific periods. Furthermore, the system enables the business owner to monitor sales performance more quickly, accurately, and systematically, thereby supporting decision-making and improving the operational efficiency of Es Teh Arjuna.

The internship registration process at the Communication and Information Office of Tegal Regency is still carried out manually, resulting in several problems, such as lengthy registration procedures, difficulties in managing and retrieving data, and the risk of document loss. This study aims to design and develop a web-based internship registration information system that supports the registration, verification, selection, and information delivery processes in an integrated manner. The system was developed using the Waterfall method, which consists of requirements analysis, system design, implementation, and testing stages. The application was developed using the Laravel framework and MySQL database. System testing was conducted using the Black Box Testing method to ensure that all system functions operate according to user requirements.The results indicate that the developed system can simplify the internship registration process, improve data management efficiency, accelerate the selection process, and provide real-time registration status information to applicants. Based on the testing results, all system features function properly and meet the predetermined functional requirements.

Poultry agribusiness is a key driver of food security and rural economic development in developing countries. However, the sector remains vulnerable to infectious diseases such as avian influenza and Newcastle disease, which can disrupt production systems and supply chain continuity. Although previous studies have examined poultry disease control, biosecurity, and supply chain disruption, evidence on how risk and crisis communication supports outbreak management and resilience in developing-country poultry agribusiness remains fragmented. This study applied a systematic literature review (SLR) approach under PRISMA guidelines to synthesize risk and crisis communication strategies in poultry disease management and their contribution to supply chain resilience. Only seven relevant studies published between 2020 and 2025 met the inclusion criteria and were analyzed using the PICO framework. Quality assessment using the Mixed Methods Appraisal Tool (MMAT), combined with systematic data extraction in Microsoft Excel 2021, was conducted to improve methodological transparency and consistency. The novelty of this review lies in integrating communication strategies, enabling and constraining factors, digital tools, One Health perspectives, and public–private collaboration within a single analytical synthesis. The findings indicate that participatory, transparent, and coordinated communication can support disease prevention and crisis preparedness, particularly when strengthened by stakeholder trust, policy support, training, and accessible information channels. However, limited digital literacy, inadequate infrastructure, and cultural barriers may reduce communication effectiveness. Overall, this review highlights the need for inclusive communication systems and collaborative governance to strengthen poultry supply chain resilience in developing countries, while recognizing that the small evidence base limits broad generalization.

Bilingual instruction is a learning strategy that can help students understand learning materials while bridging the gap between the language used at school and the language spoken in daily life. This study aims to analyze the effect of bilingual instruction on students' understanding of the Ecosystem topic at SDK Gusung Karang, Koja Gete Village. The study was motivated by the fact that students predominantly use the Sikka language in their daily communication, making it difficult for them to understand lessons delivered solely in Indonesian. This study employed a qualitative approach with a descriptive method. The research participants consisted of the fourth-grade homeroom teacher and fourth-grade students at SDK Gusung Karang. Data were collected through observations, interviews, and documentation and analyzed using data reduction, data display, and conclusion drawing techniques. The findings indicate that bilingual instruction has a positive impact on students' understanding of the Ecosystem topic. The use of the Sikka language helps students comprehend basic concepts, increases classroom participation, and enhances their confidence during the learning process. Meanwhile, Indonesian strengthens students' mastery of scientific terminology and academic language skills. Although students still experience difficulties in consistently using scientific terms in Indonesian, bilingual instruction improves their understanding and connects learning concepts with their real-life experiences. The effectiveness of this strategy depends on teachers' ability to manage language switching in a structured and consistent manner.

The development of the digital economy has led to increasing complexity in tax management for technology-based companies. Various digital business activities, such as cross-border transactions, the utilization of intangible assets, and evolving tax regulations, require companies to adopt appropriate tax strategies. This study aims to analyze the strategic role of tax consultants in supporting business decision-making within technology-based firms. The research employs a qualitative approach using a literature review method, examining various scientific journals, books, tax regulations, and relevant professional publications. The findings indicate that tax consultants no longer function solely as compliance supporters but have evolved into strategic partners for companies in tax planning, the utilization of fiscal incentives, tax risk mitigation, digital transaction management, and investment and business expansion decision-making. This role contributes to improved financial efficiency and reduced tax-related legal risks. This study emphasizes that the involvement of tax consultants from the business planning stage can enhance the quality of managerial decision-making in technology-based companies.

This study aimed to develop a profile video as a promotional and informational medium for State Elementary School 3 Bentangan and to evaluate its feasibility level. The problem was initiated by the school's continuous reliance on print media, such as brochures, and the urgent need for digital content suitable for social media platforms to reach the wider community. To address this, the Research and Development method was employed, utilizing seven stages of development procedures. Data were collected through questionnaires and analyzed using a Likert Scale. The profile video development was validated by media and material experts, and subsequently tested by users. The research results indicated that the developed profile video was highly feasible for use as a promotional and informational medium, based on the validation tests conducted by the media experts, material experts, and users.

Stunting is a chronic nutritional problem that remains a major public health challenge in Indonesia, including in Ngombakan Village, Polokarto District, Sukoharjo Regency. Moringa leaves (Moringa oleifera Lam.) are known as a superfood plant with nutritional content far exceeding conventional food ingredients, including protein, vitamin A, calcium, potassium, iron, and vitamin C, making them highly potential as a functional food for stunting prevention. This community service activity aims to improve the knowledge of mothers at the Posyandu of Ngombakan Village about stunting and the benefits of moringa leaves, while also introducing the innovation of moringa leaf pudding as a nutritious supplementary food for toddlers. The activity was carried out from August 13 to September 6, 2024 through 6 meetings at the posyandu using lecture methods, leaflet distribution, and pudding-making demonstrations. The results showed a significant increase in mothers' knowledge about stunting and the nutritional content of moringa leaves, as well as positive enthusiasm from participants in accepting moringa leaf pudding as an affordable and nutritious supplementary food alternative for toddlers.

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.

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.

This study examines the effects of Net Profit Margin, audit opinion, and firm size on audit delay among construction companies listed on the Indonesia Stock Exchange from 2019 to 2025. Audit delay is measured as the period between the fiscal year-end and the issuance date of the independent auditor’s report. Timely financial reporting is particularly important in the construction sector due to its complex long-term projects, progress-based revenue recognition, cost estimation, and high financial risks. Using a quantitative approach, the study analyzes secondary data from annual financial statements and independent auditor reports. The sample includes 14 construction companies observed over seven years, producing 98 observations. Panel data regression was conducted using EViews, with the Chow, Hausman, and Lagrange Multiplier tests identifying the Random Effect Model as the most appropriate estimation method. The findings show that Net Profit Margin does not significantly affect audit delay. In contrast, audit opinion and firm size have negative and significant effects, indicating that favorable audit opinions and larger company size are associated with shorter audit completion periods. Collectively, the three variables significantly influence audit delay, although they explain only 15.75% of its variation.

This study aims to systematically analyze the implementation of severance pay policy as a manifestation of post-employment compensation and its profound impact on the harmony of industrial relations within the regulatory framework of the Omnibus Law in Indonesia. Utilizing a Systematic Literature Review (SLR) methodology aligned with the PRISMA framework, this research comprehensively synthesizes data from 25 selected academic articles encompassing human resource management, employment law, and organizational behavior. The findings reveal that the paradigm shift from the previous labor regulations to the Omnibus Law framework has fundamentally altered the calculation mechanisms and statutory floors for severance pay. While these legislative adjustments are strategically designed to enhance organizational agility and mitigate financial distress for corporations, they have engendered substantial apprehension among the workforce regarding the degradation of normative rights. Consequently, this policy transformation presents a critical challenge to sustaining industrial harmony, frequently precipitating labor disputes, diminishing employee morale, and intensifying bipartite conflicts. This study recommends that human resource practitioners proactively develop transparent communication strategies and design complementary post-employment benefit architectures to restore distributive justice. Furthermore, policymakers are urged to institute robust oversight mechanisms to ensure equitable implementation and safeguard worker welfare without compromising long-term business sustainability.

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.

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.  

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.

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..

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.