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This study aims to analyze the bankruptcy process of PT Sri Rejeki Isman Tbk (Sritex) according to Law Number 37 of 2004. In addition, the legal impact on its subsidiary, PT Primayudha Mandirijaya in Boyolali, including legal protection for affected employees, will also  yang be reviewed. The research method used is normative legal research with a statutory approach and a conceptual approach. Data were obtained through a literature review of relevant regulations and legal literature. The results of the study indicate that although PT Sri Rejeki Isman Tbk has been declared bankrupt by the commercial court, legally, the assets of PT Primayudha Mandirijaya as a subsidiary do not immediately become part of the bankruptcy estate of its parent company. This is based on the principle that the legal entity is independent (separate legal entity) and its responsimerupakan bilities are limited (limited liability), which separates the assets in question from the parent company and the subsidiary, unless there is evidence indicating a guarantee from the company (corporate guarantee). Furthermore, the legal study on labor protection emphasizes that the rights of PT Primayudha Mandirijaya employees need to be legally protected in accordance with national labor regulations and bankruptcy law to mitigate the social and economic impacts in the Boyolali region. The study concludes that the legal existence of the subsidiary remains independent despite the bankruptcy of its parent company. However, it is crucial to prioritize contractual risk reduction and worker rights security during the curator's handling.

Plastic waste, particularly bottle caps, poses a significant environmental challenge due to its slow degradation rate. This study aims to design a functional shoe rack utilizing plastic bottle cap waste to support Sustainable Development Goals (SDG 12: Responsible Consumption and Production). The product development process employed the Quality Function Deployment (QFD) method to translate consumer needs into measurable technical specifications. Concept selection was evaluated using the Pugh Matrix, while financial feasibility was analyzed through the Break Even Point (BEP) approach. The research resulted in an optimal shoe rack design measuring 53x32x37 cm, weighing 1.5 kg, and featuring additional side hangers for socks. The production process involves shredding, molding with resin, cutting, and assembling, with a total duration of 367.03 minutes. Financial analysis indicates that the business reaches the break-even point at a minimum production of 2 units or a total sales value of Rp227,272. This research demonstrates that integrating industrial engineering methods into plastic waste management can produce functional, durable, and economically viable products.

Various viruses due to unhygienic surfaces of eating and drinking utensils, especially those that are frequently used and repeated, if they do not meet health standards have the potential to cause disease in subsequent users as a problem faced. The purpose of fabrication is to obtain eating and drinking utensils (talam-ompreng) measuring 400x300x0.4 mm made of SS304 which are hygienic, practical, heat resistant, not easily broken, not easily worn, easy to wash and easy to carry. The fabrication method includes: design of a 40 cm long, 30 cm wide eating tray, 7 serial basins (rice container 12 x 12 cm 2 basins, side dish container 8 x 8 cm 3 basins, vegetable container 6 x 6 cm 1 basin, fruit container 6 x 6 cm 1 basin) with a depth of 30 mm, a thickness of 0.4 mm; selection of SS304 plates; design of pressing molds; checking the thickness of SS304 plates; cutting material 55 x 45 cm; pressing until flat (not bulging or thinning/torn); bending the edges around; finishing cleaning metal thorns; stamping according to order; and quality inspection of the ompreng tray according to nutritional standards. The fabrication results in a 40 cm long, 30 cm wide, 0.4 mm thick tray made of SS304 material with a total production cost of IDR 75,000/unit, and a process duration of 2 minutes/unit which implies that the eating and drinking utensils can be used repeatedly after being washed clean from viruses.

The opening of the wrench opening for M14 bolts is broken in use as a problem encountered in field activities. The manufacturing objective is to obtain an M14 mm wrench-ring wrench from forged steel measuring 200x6.5 mm. The manufacturing method includes: wrench design on one end and ring wrench design on the other end for bolt size M14 mm, cutting sufficient volume of steel material after forging according to the design, wrench forging on one end and ring wrench forging on the other end for bolt size M14, Chromium plating; finishing of wrench gap and hexagon for ring wrench with a distance of 22 mm, and quality-dimension-standard inspection. TThe manufacturing results are in the form of a paired wrench with an M14 mm ring wrench made of forged steel coated with chromium measuring 200x6.5 mm with a total production cost of IDR 30,000/unit, and a process duration of 3 minutes/unit which has the impact that the paired wrench with a ring wrench for M14 mm bolts measuring 200x6.5 mm can be used for M14 bolts in general with an opening width of 22 mm for both ends as a wrench or ring wrench.

This study aims to design a liquid dish soap made from lerak fruit (Sapindus rarak DC.) as an environmentally friendly alternative to synthetic chemical-based soaps. Lerak fruit was selected due to its high saponin content, which functions as a natural surfactant capable of producing foam and removing grease. This research integrates three courses: Product Design and Development using the Quality Function Deployment (QFD) method with House of Quality (HOQ) to identify consumer needs; Work Measurement Analysis using Operation Process Charts (OPC) to design the production process; and Cost Estimation Analysis using the full costing method to calculate production costs and determine the selling price. Results show that the best product concepts are Concept 4 and Concept 8, characterized by natural lerak surfactant, active ingredient concentration above 15%, pH of approximately 6, citrus/lemon scent, and pump bottle packaging. The production process consists of preparation, mixing, boiling, addition of thickener, cooling, pressing, filtering, and packaging, with a total production time of 142.05 minutes for two 500 ml products. Total production cost is Rp65,184, with a cost of goods sold (COGS) of Rp32,592 per unit and a selling price of Rp34,000 per unit.

Tingginya pertumbuhan jumlah rumah sakit di Indonesia memicu persaingan yang ketat dalam industri kesehatan, termasuk di Provinsi Jambi. RS X Jambi menjadi salah satu RS dengan indikator pelayanan rendah, mencatat BOR 33,3% dan BTO 34,1 kali dan berada di bawah standar Kementrian kesehatan. Fenomena ini menegaskan perlunya penerapan strategi bauran pemasaran yang efektif. Penelitian ini bertujuan untuk menganalisis hubungan bauran pemasaran dengan keputusan memilih pelayanan rawat inap di RS X Kota Jambi tahun 2025. Penelitian kuantitatif dengan desain cross-sectional. Sampel berjumlah 108 pasien rawat inap yang diambil secara accidental sampling berdasarkan kriteria inklusi dan eksklusi. Data dikumpulkan melalui kuesioner dan dianalisis secara univariat dan bivariat (chi-square). Uji bivariat menunjukkan adanya hubungan signifikan pada variabel product (0,001), price (0,001), place (0,001), people (0,001), dan process (0,001). Variabel yang tidak signifikan adalah promotion (0,687) dan Physical Evidence (0,069). Terdapat hubungan product, price, place, people, process dengan keputusan memilih pada rawat inap di rumah sakit X sedangkan promotion dan physical evidence tidak terdapat hubungan.

The frequent breakage of saw blades and the use of blades that are not suitable for beginner saw operators present a significant problem in metal sawing activities. This study aims to produce a double-sided sharp steel saw blade with dimensions of 310×30×0.8 mm. The production process consists of several stages, namely designing the double-sided sharp saw blade, cutting high-carbon steel material to size, drilling 4 mm diameter holes at both ends with a 310 mm distance between holes, forming sharp edges on both sides of the blade, hardening only the two cutting edges, followed by labeling, packaging, and quality and dimensional standard inspection. The production output is a double-sided sharp steel saw blade measuring 310×30×0.8 mm made from medium carbon steel. The manufacturing cost is Rp. 3,500 per unit with a processing time of 3 minutes per unit. These results indicate that the saw blade can be mounted on a general saw handle and has improved resistance to breakage, making it more suitable for beginner users whose sawing motion is not consistently aligned on a single flat plane.

Carburizing is one of the most widely applied thermochemical surface treatments to enhance the mechanical performance of steels; however, existing studies remain fragmented, with limited integration of diffusion mechanisms, process parameters, and their combined effects on surface performance, which hinders process optimization for advanced applications requiring improved wear and corrosion resistance. This study addresses this gap through a systematic literature review (SLR) of approximately 28 peer-reviewed articles indexed in Scopus and ScienceDirect, using a structured methodology consisting of identification, screening, eligibility assessment, and comparative analysis focusing on key variables such as temperature, holding time, carburizing media, and diffusion behavior. The analysis shows that carbon diffusion kinetics and case characteristics are strongly influenced by process parameters, where temperatures of 850–950°C and longer holding times significantly increase case depth (up to >1 mm) and surface hardness (typically 50–65 HRC or improvements up to ~150 HV). In addition, clear distinctions among carburizing methods were identified: gas and vacuum carburizing offer superior control of carbon potential and microstructural uniformity, while pack and liquid carburizing provide more economical alternatives with lower process precision. Notably, inconsistencies were found in correlating diffusion depth with corrosion resistance, indicating a critical research gap. This review establishes an integrated framework linking diffusion mechanisms, processing parameters, and surface performance, offering insights for optimizing carburizing processes and highlighting the need for future studies that simultaneously evaluate mechanical and corrosion properties.

Corporate insolvency regimes have long been designed around efficiency, creditor recovery, and procedural certainty, frequently marginalizing the human, social, and distributive consequences of corporate failure. This qualitative literature review seeks to reconceptualize insolvency as a multidimensional institutional process by integrating the principles of humanity, resilience, and equity, with the objective of developing fairness metrics for more inclusive insolvency systems. Drawing on interdisciplinary scholarship from insolvency law, corporate governance, economic sociology, and normative political theory, this study systematically synthesizes peer reviewed literature published between 2000 and 2024 using a structured qualitative thematic analysis. The review identifies three interrelated dimensions shaping inclusive insolvency outcomes. First, humanity-oriented approaches emphasize stakeholder vulnerability, dignity preservation, and procedural justice, particularly for employees, involuntary creditors, small suppliers, and local communities affected by corporate collapse. Second, resilience based perspectives frame insolvency not merely as an endpoint of failure but as an adaptive governance mechanism that enables organizational recovery, institutional learning, and broader systemic stability. Third, equity focused frameworks highlight the importance of proportional and context sensitive loss allocation, stakeholder participation, and intertemporal fairness in distributing the economic and social costs of insolvency. By integrating these dimensions, the study develops a conceptual framework of fairness metrics that extends beyond traditional efficiency-driven indicators, offering normative and analytical tools for evaluating insolvency systems in a more holistic manner. The findings contribute to insolvency scholarship by bridging fragmented theoretical strands and advancing a human-centered and resilience oriented understanding of corporate failure. The review further suggests that insolvency regimes embedding humanity, resilience, and equity are more likely to enhance institutional legitimacy, stakeholder trust, and long term economic sustainability, thereby providing a robust foundation for future empirical research and policy reform.

Data analysis is a fundamental stage in educational research because it determines the validity, credibility, and quality of research findings. The different philosophical paradigms underlying qualitative and quantitative approaches require distinct concepts, procedures, and analytical techniques. This study aims to examine the concepts, procedures, and implementation of data analysis in educational research using both qualitative and quantitative approaches. A literature review method was employed by analyzing books, scientific journal articles, and other relevant academic references related to educational research methodology. The findings indicate that qualitative data analysis emphasizes an interactive and iterative process involving data reduction, data display, conclusion drawing, and verification to produce credible and meaningful interpretations. In contrast, quantitative data analysis relies on systematic statistical procedures, including descriptive and inferential analyses, to test hypotheses, identify relationships among variables, and support objective decision-making. Although both approaches differ in their analytical orientation and techniques, they share the need for systematic, objective, valid, and rigorous procedures to ensure the accuracy and trustworthiness of research findings. Understanding these differences enables researchers to select analytical methods that are appropriate to their research objectives, designs, and data characteristics. This study contributes to a broader understanding of educational research methodology and provides practical guidance for researchers, educators, and university students in implementing effective and appropriate data analysis techniques.

One of the most significant foods for the people of Indonesia, tempeh is made mostly from soybeans. Soybean quality selection is still mostly done by hand, relying on eye inspection and the expertise of business actors. This may cause subjective evaluations, lengthy decision-making processes, and uneven outcomes. With the TOPSIS technique as its foundation, this project intends to construct a Decision Support System (DSS) for selecting high-quality soybeans. Color, texture, price, scent, and flavor are some of the evaluation criteria. Observations and interviews were conducted in Rumah Tempe A-Zaki Padang to gather data for the research. Ranking the options according to how close they were to the positive ideal solution and how far away from the negative ideal solution was done using the TOPSIS approach. In terms of preference values, the Green Soybean option came out on top with 0.9692, followed by Black Soybeans with 0.2335, Yellow Soybeans with 0.1516, and Brown Soybeans with 0.1181. Based on these outcomes, it seems that TOPSIS can indeed provide objective suggestions for soybean selection according to a number of different standards. Business players in the tempeh industry may benefit from this decision support system by using it to choose high-quality soybean raw materials more efficiently and accurately.

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

This study aims to implement the Cooperative Integrated Reading and Composition (CIRC) learning model to improve collaboration skills and learning outcomes among phase E students in class X-3 at SMA Katolik 2 Kabanjahe in Catholic Religious Education. This research employed Classroom Action Research conducted in two cycles, consisting of planning, implementation, observation, and reflection stages. Data were collected through observation sheets, learning outcome tests, and documentation, then analyzed using descriptive qualitative analysis supported by process and learning achievement indicators. The findings showed that the implementation of the CIRC learning model improved across learning stages, including orientation from 87% to 95%, organization from 90% to 97%, concept introduction from 87% to 92%, publication from 93% to 98%, and reflection and reinforcement from 87% to 98%. Students’ collaboration skills also increased in each indicator, namely working productively from 75% to 88%, actively participating in problem solving from 82% to 88%, maintaining a balance between listening and speaking from 76% to 86%, appreciating group members’ contributions from 73% to 87%, and demonstrating responsibility as group members from 77% to 93%. Learning outcomes also improved, as shown by the increase in the proficient category from 27% to 77%, while the basic and developing categories decreased to 0% in cycle II. These results indicate that CIRC effectively enhances students’ active participation, collaboration, responsibility, and learning achievement. Therefore, CIRC is recommended as an alternative collaborative learning model for Catholic Religious Education, particularly in strengthening cooperative interaction and meaningful understanding of religious learning materials in classroom practice.

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

The rapid advancement of Internet of Things (IoT) technologies has transformed conventional residential environments into intelligent smart housing systems capable of enhancing energy efficiency, security, comfort, healthcare services, and environmental sustainability. However, existing studies remain fragmented, focusing on specific technologies or applications rather than providing a comprehensive understanding of the smart housing ecosystem. Therefore, this study aims to systematically review the major technologies employed in IoT-based smart housing systems, examine their contributions to residential benefits, and identify the challenges and future opportunities associated with their implementation. This research adopted a Systematic Literature Review (SLR) approach using the Scopus database as the primary source of literature. The review process followed a structured screening and selection procedure, resulting in the inclusion of 26 studies that met the predefined eligibility criteria. The findings indicate that Artificial Intelligence, Blockchain, Edge Computing, Fog Computing, Cloud Computing, Digital Twin, Smart Grid technologies, renewable energy systems, and advanced sensor infrastructures constitute the primary technological foundations of modern smart housing systems. The reviewed studies indicate that these technologies contribute to energy optimization, cybersecurity enhancement, intelligent automation, healthcare monitoring, safety improvement, and sustainable resource management. However, challenges related to security, privacy, interoperability, scalability, computational complexity, and implementation costs remain important barriers to widespread adoption. In conclusion, IoT-based smart housing systems have evolved into integrated and intelligent residential ecosystems, and future development is expected to be driven by the convergence of Artificial Intelligence, distributed computing, Digital Twin technologies, and sustainable smart infrastructure solutions.  

The regulation of the 14-day time limit for investigating regional head election crimes, as stipulated in Article 146 of Law Number 10 of 2016 concerning the election of governors, regents, and mayors, was established to accelerate law enforcement, ensure legal certainty, and maintain the relevance of election crime resolution within the strict and sequential stages of elections. However, in practice, this provision often creates legal problems when investigations must be terminated due to the expiration of the time limit, even though strong indications of election crimes exist. This situation raises a legal issue because law enforcement, although procedurally compliant, does not fully achieve substantive justice and legal utility, particularly in maintaining public trust, legal order, and democratic integrity. This study aims to analyze the theoretical basis of the 14-day investigation limit and examine the application of justice and legal utility principles in terminating election crime investigations due to time expiration. The research uses a normative legal method with statutory, conceptual, and analytical approaches. The findings indicate that the 14-day limit is grounded in the principle of lex specialis, legal certainty, speedy trial principles, electoral justice theory, and the effectiveness of integrated law enforcement. This limitation is intended to prevent prolonged legal processes, protect the legal status of reported parties, ensure smooth election stages, and maintain regional democratic stability.

Evaluating food portions and types in the Free Nutritious Meal (MBG) program is generally still performed manually, which is time-consuming and potentially subjective. This study aims to develop an automated deep learning-based system to efficiently detect food types and estimate their nutritional value. The method used is a quantitative experiment integrating the YOLOv11m architecture for real-time object detection and the Google Gemini 2.5 Flash Large Language Model (LLM) for contextual nutritional estimation reasoning. The model training utilized a dataset of 2,630 food tray images categorized into five classes (fruit, side dish, staple food, vegetable, milk) that had undergone an augmentation process. The results showed that the YOLOv11m model achieved excellent performance with a mean Average Precision (mAP@0.5) of 0.9727 and the highest F1-score of 0.9522 at a confidence threshold of 0.1. Furthermore, validation of the LLM integration demonstrated a high prediction agreement rate of 85%. In conclusion, the combination of the YOLOv11m algorithm and LLM reasoning is capable of detecting and validating nutritional classification quickly and precisely, showing strong potential as an objective nutritional evaluation monitoring solution for large-scale MBG program implementation.

This research was conducted at the Semarang City Public Works Department, particularly in the secretariat section responsible for correspondence administration and public information management (PPID). The study focuses on the conventional management of letter disposition, which makes it difficult for PPID officers to monitor letter status quickly, reduces process transparency, and may cause delays in decision-making and public services. This research aims to develop and implement a Disposition Monitoring Information System (SIMODIS) to digitize correspondence administration so that it becomes more effective, efficient, transparent, and accountable. The study uses ASTRID Analysis to identify strategic issues and a Design Thinking approach consisting of the Empathize, Define, Ideate, and Prototype stages. Empathy Map and Persona were also used to understand user needs. System testing was conducted using Black Box Testing to assess functionality and the System Usability Scale (SUS) to evaluate user experience. The results show that SIMODIS was successfully developed with features such as an admin dashboard, digital disposition forms, and a public mail status search portal. The SUS score reached 83, categorized as Excellent, indicating high usability and user acceptance.

Manual teaching journal management at SMA Negeri 1 Kayen frequently leads to documentation inefficiencies, risks of data loss, and challenges in the teaching supervision process. This research tends to design and develop a web-based teacher teaching journal information system employing the CodeIgniter 3 framework with a Model-View-Controller (MVC) architecture. The system was improved employing the Waterfall methodology, comprising requirements analysis, system design, implementation, testing, and maintenance phases. The system integrates four user roles—administrator, teacher, student, and supervisor—to support the digitalization of recording processes, real-time teacher attendance verification by students, and centralized activity monitoring. Black Box Testing outcomes present that all system functions, involving authentication, data management, and reporting, operate 100% in accordance with user requirements. The implementation of this system effectively reduces administrative time compared to manual methods while enhancing the accountability and transparency of teaching journal management within the school. With centralized data integration, this system helps as an effective solution for supporting data-driven managerial decision-making in education.

This study examines the role of congregational prayer habituation in internalizing students’ religious character at SMP Jam'iyyatut Tholibin. Congregational prayer serves not only as a form of worship but also as a strategy for instilling religious values through consistent practice. This field research employed a phenomenological approach with a qualitative descriptive method. Primary data were collected through interviews with the principal, Islamic Religious Education teachers, the vice principal for student affairs, and students, while secondary data were obtained from school documents and relevant literature. Data collection techniques included observation, interviews, and documentation, and the data were analyzed through reduction, presentation, and conclusion drawing, with validity ensured through source and technique triangulation. The findings show that the regular habituation of Duha and Dhuhr prayers, supported by Qur’an recitation, Asmaul Husna, and Morning Inspirational Stories (CIP), effectively strengthens students’ discipline, responsibility, worship obedience, humility, and solidarity. Although challenges such as limited student motivation and external environmental influences remain, continuous guidance, motivation, and teachers’ exemplary behavior effectively support the internalization process. Overall, integrating congregational prayer with complementary religious activities effectively promotes students’ religious character development.