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PT. Tirta Fresindo Jaya, specifically its Pasuruan plant as the producer of Pucuk Harum Tea beverage, requires a large supply of steam to support various production processes. This steam is used in the process of heating tea leaves, heating water through a heat exchanger, and heating chemicals and water in the cleaning in place (CIP) process. Steam pressure of 5 bar that is flowed to the process equipment will undergo condensation to produce condensate. To separate steam and condensate, steam traps are used, consisting of several types, namely mechanical, thermostatic, and thermodynamic. However, in operational practice, steam trap malfunctions often occur, either in the form of steam leaks that are wasted with condensate or failure to drain condensate from the system. This condition causes a decrease in the efficiency of the steam piping system and increases the workload of the boiler. As a result, fuel consumption and boiler feed water requirements become greater than ideal conditions. Therefore, this study aims to analyze the energy and operational losses caused by steam trap malfunctions, as well as evaluate their impact on boiler system performance and steam utilization efficiency at PT. Tirta Fresindo Jaya Pasuruan plant.      

State-based conservation in Indonesia often faces institutional failure and social resistance, resulting in continued deforestation. Conversely, Indigenous conservation models in West Java, specifically the Leuweung Larangan (forbidden forest), demonstrate significant ecological resilience. However, the legal standing of these customary practices within Islamic jurisprudence remains under-theorized, creating a dichotomy between Adat (custom) and Sharia. This study proposes a juridical reconstruction of the Sundanese taboo mechanism (Pamali) as Jarimah Ta’zir (discretionary sanction) to strengthen environmental law enforcement. Utilizing a socio-legal approach and ecological hermeneutics, this research analyzes Yusuf al-Qardhawi’s concept of Fiqh al-Bi’ah and Seyyed Hossein Nasr’s sacred science, alongside relevant empirical data on Indigenous forest governance. The findings demonstrate that Leuweung Larangan structurally manifests as Hima Syar’i (sacred protected zone). Operationally, Pamali functions not merely as a cultural myth, but as a preventive legal instrument (Sadd al-Dzari’ah) where environmental violations constitute religious criminal acts. This creates a "Sundanese Eco-theology" model that establishes a double-layered compliance system—social sanctions and theological liability—proving more effective for carbon preservation than state regulations alone. The study recommends integrating this model into the Green Constitution framework to resolve tenurial conflicts and enhance climate resilience.

This study is titled Analysis of the Incumbent's Defeat in the 2024 Regional Head Election in East Flores Regency (A Study of Antonius Hubertus Gege Hadjon's Defeat in East Adonara District), with the aim of analyzing the factors that led to the defeat of incumbent Antonius Hubertus Gege Hadjon in the 2024 Pilkada. This study uses Pierre Bourdieu’s political modality theory, including political, social, economic, and cultural capital. A qualitative approach with a descriptive method is employed, and data is collected through interviews with subjects consisting of the incumbent candidate, a religious leader, a youth leader, a community leader, two party representatives, and the success team. The study focuses on the support base in East Adonara District. The results of the study indicate that the incumbent's defeat was caused by the weakening of political capital, especially due to the vacancy in the regent’s position for two and a half years, which strengthened the opponent's position. This caused stagnation in public services and a decrease in the intensity of local government communication. In addition to these structural factors, weak internal party consolidation and public sentiment about uneven development also contributed to the defeat, indicating the incumbent's failure to manage his political capital amidst the dynamics of governance.

This research aims to analyze bibliometric data using the supporting application Publish or Perish and mapping tools in VOSviewer with data in RIS format. The method used is descriptive quantitative to examine how Project-Based Learning can enhance creativity skills in entrepreneurship. From the search results, 200 journals were found from the years 2015-2024, which were then grouped into three categories based on their publication year. After categorizing the journal data, the most published articles were in 2022, indicating an opportunity for further research on the theme of entrepreneurial creativity. Entrepreneurial creativity can be possessed by students and can be developed through education. Entrepreneurship education is crucial to fostering creativity, innovation, and entrepreneurship, and provides information to those who wish to establish small-scale businesses. Entrepreneurship education can turn an individual into an entrepreneur and positively influence entrepreneurial attitudes and innovation. Entrepreneurship education not only imparts practical knowledge on how to start and manage a business but also plays a vital role in developing an entrepreneurial mindset, attitude, and skills such as perseverance, resilience to failure, and the desire to learn and grow. Project-based learning models can be used to enhance entrepreneurial motivation, as students not only understand the ideas but can also explain the importance of the knowledge and skills acquired.

This study aims to understand how the spirit of innovation and the meaning of entrepreneurship are constructed through the lived experiences of startup business actors in the digital economy era. Using a qualitative narrative inquiry approach within the social constructivist paradigm, this research explores how startup entrepreneurs interpret innovation, resilience in the face of failure, and social responsibility as integral parts of their entrepreneurial identity. Data were collected through in-depth interviews, non-participant observation, and document analysis of startups in the technology, education, and creative economy sectors in Indonesia. Narrative thematic analysis reveals that innovation is understood not merely as a business strategy but also as a form of self-expression and the construction of entrepreneurial identity. Failure is perceived as a reflective learning process that shapes resilience and generates new meaning in the entrepreneurial journey. Moreover, entrepreneurship is interpreted as a meaningful journey that integrates economic goals with social and moral values. The digital ecosystem functions as a social space where entrepreneurial values are negotiated, shared, and reinforced through interaction and collaboration. These findings affirm that entrepreneurship in the digital era is a social process involving creativity, ethical reflection, and sustainable innovation. Theoretically, this study contributes to expanding the understanding of entrepreneurship as a social practice, while practically emphasizing the importance of reflective learning and value awareness in building a sustainable and meaningful startup ecosystem for society.

This study examines the implementation of the Coretax system in preparing electronic withholding tax slips (e-Bupot) and submitting Monthly Income Tax Article 21 (PPh 21) Returns at PT RSA. Coretax, launched by the Directorate General of Taxes (DGT) and officially implemented on January 1, 2025, is part of the government’s effort to modernize tax administration and improve taxpayer compliance. The research uses a qualitative descriptive method with a case study approach. Data were obtained through interviews with personnel responsible for PPh 21 administration, direct observation of e-Bupot preparation and monthly tax return filing through Coretax, and documentation review of tax reports and withholding slips. The analysis compares PT RSA’s practices with applicable tax regulations and identifies technical challenges during system use. The results show that PT RSA has complied with prevailing regulations, including the application of the Average Effective Rate (TER) and the utilization of Coretax for tax administration. However, technical constraints remain, particularly unstable internet connections and slow Coretax server performance during peak reporting periods, leading to data entry delays and upload failures. Therefore, improvements in system stability and performance are needed to support timely reporting and optimal tax compliance.

This study aims to determine and analyze service waiting times, identify the root causes of long queues, and develop a strategy to improve service performance at the 5361137-gas station (SPBU) at the Surabaya-Gresik Toll Rest Area. The research method used is a mixed-methods approach with an exploratory sequential design. This study combines quantitative analysis using Queuing Theory to measure system performance (arrival rates and service times) and descriptive qualitative analysis using a Fishbone Diagram. Data were collected through direct observation, interviews, and g-form techniques. The results indicate that the current queuing system performance is in a critical or severe condition, indicated by a server utilization rate of 0.94 to 1.02 during peak hours. The average time spent by vehicles in the system is 14.3 minutes, of which 9.6 minutes (67%) is spent waiting in the queue. Fishbone diagram analysis revealed that the root cause of the main problem lies in the complex interaction of factors: Machine factors (EDC signal failure and pump repair downtime), Human and Method factors (implementation of static shifts and reactive maintenance), and Environmental factors (narrow layouts that hinder large vehicle maneuvers). As a solution, this study formulated a hybrid improvement strategy that includes short-term business process engineering (the use of Floating Staff and lane segregation) and long-term investment in additional pumps to change the queuing model from Single Channel to Dual Channel. This strategy is expected to reduce the utility level to a safe zone below 0.80 with a target waiting time of 3–5 minutes.

Objective– This article aims to comprehensively examine the main types of food crop pests and their attack patterns through a systematic literature review approach. The research focuses on the dynamics of pest attacks, changes in ecological patterns due to climate change, and advances in modern identification technology that enable more accurate early detection. This study also highlights the significance of new paradigms of pest identification based on artificial intelligence (AI), genomics, and landscape mapping in supporting food security at the regional and national levels. Design/methodology/approach– This study used the Systematic Literature Review (SLR) method for scientific publications from 2015–2025 from reputable sources such as Scopus, Web of Science, PubMed, ScienceDirect, SpringerLink, Taylor & Francis, Wiley, AGRIS, and Google Scholar. Of the 326 articles identified in the initial stage, 30 articles in English and Indonesian were selected through a screening process based on strict inclusion–exclusion criteria. All articles were then analyzed using thematic coding techniques to produce an in-depth, evidence-based synthesis. Findings– The study produced four key findings: (1) there are five dominant pests in global food crops, namely Thrips tabaci, Spodoptera exigua/frugiperda, Helicoverpa armigera, Nilaparvata lugens and Sitophilus oryzae; (2) attack patterns are strongly influenced by temperature, humidity, pesticide resistance, and monoculture; (3) modern identification technology AI, drone imagery, multispectral sensors, and DNA Barcoding have increased detection accuracy to 94–98%; and (4) community-based early warning systems accelerate field response and reduce the risk of crop failure. Practical implications– These findings provide a scientific basis for local governments, agricultural extension workers, and farmers to gradually adopt pest identification technology and strengthen integrated monitoring systems at a regional scale. Authenticity/value– This article offers a new conceptual model of “Pest Identification Pyramid – Attack Pattern – Early Warning System” that integrates pest biology, digital technology, and community response to improve national food security.

This article explores legal accountability for flood disasters occurring in several regions of Sumatra, which are widely alleged to result from large-scale logging activities. The analysis is conducted within the framework of the Indonesian legal system, with particular emphasis on contract law. This study adopts a literature-based research method by examining statutory provisions, legal doctrines, and relevant scholarly publications. The analysis demonstrates that flood events should not be understood solely as natural occurrences, but rather as ecological consequences arising from the failure to fulfill contractual obligations embedded in forest utilization permits. From a contract law perspective, forestry concessions establish binding legal relationships that impose environmental protection duties on permit holders in accordance with the principle of pacta sunt servanda. Logging activities that exceed authorized limits may therefore be classified as contractual default (wanprestasi) and, at the same time, constitute unlawful acts that cause harm to the state and affected communities. Accordingly, this study underscores the necessity of strengthening environmental protection clauses within concession agreements and applying strict liability principles to enhance legal responsibility and prevent recurring environmental harm.

This study examines the dynamics of Data Driven Policy implementation in Indonesia, which faces a disconnect between the ambitions of digital regulation and the reality of execution on the ground. Using a qualitative approach with the Three Lenses of Evidence-Based Policy analysis framework (Head, 2008), this study examines the interaction between scientific evidence, political considerations, and professional practices in government data governance. The results show that although legal infrastructure such as Satu Data Indonesia (SDI) has been established, its effectiveness is hampered by structural barriers: the dominance of sectoral egos and a culture of intuitive decision-making (political lens), as well as a mix of digital talent and resistance from a paternalistic bureaucratic culture (practical lens). These findings confirm that data fragmentation and cybersecurity incidents are not simply technical failures, but rather systemic governance failures. Therefore, this study recommends a “soft reform” strategy that integrates the enforcement of technical standards, budget incentive mechanisms, and digital leadership transformation to align data validity with the political realities of the bureaucracy.

Mining operations rely heavily on the performance and reliability of heavy equipment used in the production process. One of the most important hauling units in open-pit mining is the dump truck, which functions to transport overburden and coal from the mining front to disposal areas. Due to high operational intensity, dump trucks require effective maintenance management to ensure equipment reliability and reduce unexpected downtime. However, maintenance activities are often carried out based only on routine service schedules without analytical planning based on historical data. This study aims to analyze the implementation of forecasting methods in maintenance management to improve the effectiveness of dump truck maintenance planning in mining operations. The research was conducted during field work practice at PT Putra Perkasa Abadi Jobsite BIB, Tanah Bumbu, South Kalimantan. The data used were historical maintenance records of dump truck units obtained from the maintenance department. The research method used a quantitative approach with time series forecasting analysis to identify maintenance patterns and estimate future maintenance needs. The results show that forecasting-based maintenance planning can help companies predict maintenance requirements more accurately and prepare maintenance resources more efficiently. Furthermore, the implementation of forecasting methods can reduce unexpected equipment failures and support operational efficiency in mining activities.

The problem with a 4-stroke gasoline engine-driven electric generator is a decrease in tool performance due to wear on important components for the stator, cooling fan, air filter, oil filter, and gasket. The purpose of component replacement planning is to obtain replacement costs, maintenance schedules in 2027, and the ratio of maintenance costs to profits. The component replacement planning method includes collecting maintenance data from previous years, applying the inspection-replace-repair-overhaul (IRRO) method, assessing component conditions, predicting component lifespan, predicting labor costs, predicting supporting equipment to be used in maintenance, predicting spare part replacement times, predicting maintenance costs in 2027, and calculating the ratio of maintenance costs to profits. The results of the replacement planning obtained maintenance costs in 2027 amounting to IDR 570,007,- with an estimated electric generator rental rate of IDR 30,000,-/hour which has the potential to be rented for 128 hours/year, a profit of IDR 3,840,000,- was obtained, and the ratio of maintenance costs to profits was 14.84% which implies that a 2.5 kW electric generator that uses gasoline-pertalite fuel of around 1.5 liters/hour at maximum power is still suitable for use in the next few years and has the potential to generate profits.

Depression is one of the mental health problems that often arise in patients with chronic diseases, such as diabetes mellitus, hypertension, and chronic kidney failure. This condition not only impacts the patient's quality of life, but also affects the treatment process and the burden on the family. However, mental health literacy in the community is still low, so targeted preventive and curative efforts are needed. The Community Service Program (PKM) aims to improve people's mental health through educational interventions with scientific booklet media that are easy to understand and apply. The activity method is carried out in a participatory manner, including the preparation stage, socialization, educational implementation, and evaluation. Education is provided to the community with a focus on preventing depression through a healthy lifestyle, stress management skills, and early intervention efforts by seeking professional support. Evaluation is carried out through pre-post tests, observations, and group discussions. The results of the activity showed an increase in public knowledge about depression, a change in attitudes to be more open in expressing feelings, as well as practical skills in relaxation, maintaining sleep patterns, and building social support. Participants also better understand the importance of seeking professional help when depressive symptoms are getting worse. The conclusion of this PKM is that the scientific booklet has proven to be effective as a preventive and curative educational intervention medium, and can be an innovative strategy in improving the mental health of people affected by chronic diseases.

In Indonesia, micro, small, and medium enterprises (MSMEs) have long been recognized as a very important business sector due to their various real roles in the economy. However, MSMEs often face many obstacles in running their businesses. More incentive support from various parties, especially the government, is needed for the development of MSMEs. In order to overcome the problems faced by MSMEs and support their sustainability, a KKU (Business Field Study) activity was carried out by Group 15 at the KKU-11 of the Institute of Technology and Business (ITB) Adias Pemalang at the MSME “Ev_Kids Product.”After conducting an observation phase, several problems faced by the SME were identified, including the lack of social media for marketing, failure to calculate the Cost of Goods Sold (COGS) and maintain simple accounting records, absence of a business logo, banners, promotional image designs, organizational structure, business profile, product catalog, stamps, receipt books, and product attributes. Additionally, the SME had never produced a production video or promotional video.After conducting the observation phase, KKU actors formulated several business development assistance programs, namely creating social media accounts, calculating the Cost of Goods Sold (COGS), creating simple bookkeeping, creating a business logo, banners, promotional image designs, organizational structure, business profile, product catalog, stamps, note books, and product attributes in the form of hangtags. They also created production videos and promotional videos.

Diabetes Mellitus is a disease caused by the failure of the pancreas organ in producing the hormone insulin in excess causing increased blood sugar levels and resulting in a lack of insulin. This study discusses the application of the k-means clustering method to determine risk factors for diabetes mellitus. By using the clustering method, data will be grouped into several clusters or groups which in this study compare by applying several data mining tools such as RapidMiner, SPSS, WEKA, and Python. From the results of the comparison carried out resulted in 5 calculations, namely the manual calculation of cluster 1 with a ratio value of 73% being the first priority, calculations using RapidMiner resulting in cluster 3 with a ratio value of 58% being the first priority, calculations using SPSS cluster 2 with a ratio value of 34% being the first priority, and calculations using Python produce cluster 1 with a ratio value of 55% being the first priority.

The interval between 2018 and 2025 represents a defining epoch in financial assurance, characterized by a systemic collision between traditional audit methodologies and the exponential sophistication of fraudulent actors. This research employs a comprehensive library research methodology, utilizing Systematic Literature Review (SLR) to evaluate the evolving landscape of audit and fraud. The study traces the theoretical migration from Cressey’s Fraud Triangle to multidimensional frameworks like the Fraud Pentagon, which emphasizes the roles of arrogance and competence. Through a forensic examination of catastrophic audit failures including Wirecard, FTX, and the emerging risks of crypto-assets, the research identifies recurring patterns of auditor failure in assessing operational risks and internal controls. Furthermore, the report analyzes the dual-edged impact of Artificial Intelligence (AI); while machine learning algorithms offer enhanced detection capabilities, the rise of Generative AI (GenAI) and deepfake technology has empowered perpetrators to execute sophisticated "synthetic reality" frauds. The study critically evaluates regulatory responses, particularly the revision of International Standard on Auditing (ISA) 240, which mandates a more proactive "fraud lens." The findings suggest that the auditing profession faces an existential crisis of relevance, necessitating a fundamental shift toward a forensic mindset supported by advanced technological integration.

The rapid development of digitalization and innovation has become a key driver in improving business processes and the competitiveness of organizations worldwide. This study is the first comprehensive bibliometric analysis examining the relationship between digitalization and innovation in business processes, to map the intellectual structure of this field, track the development of its themes, and identify remaining research gaps. This analysis, which utilizes data from Scopus processed using VOSviewer and Biblioshiny software, covers publications from 2010 to 2024 and employs co-occurrence, co-authorship, and thematic evolution techniques. The results show a rapid growth in publications since 2016, peaking at over 110 publications in 2024. Eight key thematic clusters stand out: Industry 4.0, artificial intelligence, robotic process automation, blockchain, drivers, and agile business process management. Despite the field's maturity, it still suffers from high fragmentation, strong geographic concentration, and a reliance on cross-sectoral research designs. As a result, longitudinal insights remain limited, and digital transformation failure rates remain high, reaching up to 70%. This research presents the first quantitative and visual roadmap of global knowledge flows in this domain and underscores the need for longitudinal, geographically inclusive, and people-centric research to move beyond single-point understandings to a sustainable, context-sensitive framework that enhances both the theoretical depth and practical success of digital-based business process innovation

In social life, buying and selling are fundamental mechanisms for transferring rights, beginning with an agreement. According to Articles 1313 and 1338 of the Indonesian Civil Code, agreements are legally binding acts with the force of law for the parties involved. One high-value transaction is the sale and purchase of apartment units, which involves developers as sellers. In practice, developers often fail to deliver units within the agreed timeframe. This study examines (1) the developer’s responsibility toward buyers when units are not delivered and (2) the legal protection available for buyers under such circumstances. The research applies Hans Kelsen’s Theory of Responsibility and Satjipto Rahardjo’s Theory of Legal Protection, using a normative juridical method based on library research. Primary, secondary, and tertiary legal materials were analyzed through statutory, conceptual, analytical, and case approaches, employing grammatical and systematic interpretation, legal analogy, and legal refinement. Findings reveal that developers are primarily responsible for delivering fully paid units. Failure to fulfill this obligation, due to breach of contract or negligence, triggers legal liability in the form of performance or compensation. Legal protection for buyers ensures their rights are safeguarded, and even in cases of developer negligence or bankruptcy, consumers are legally entitled to receive the apartment units they have purchased.

This study presents a high-accuracy real-time soft failure detection framework for large-scale fiber-to-the-home(FTTH) optical access network using a hybrid ensemble of Isolation Forest and One-Class Support Vector Machine (OCVSM). The proposed model was trainde and validated on a real-word multivariate performance dataset comprising more than 1.8 million samples collected at 5-minute intervals from 50 Optical Line Terminal (OLTs) and over 3,000 Optical Network Terminals (ONTs) across a five-month periode(June-October 2025). Ground-truth validation was performed using 111 confirmed network incidents in October 2025 affecting 12,990 customer. The hybrid ensemble achieved Precision 0.940, Recall 0.982, with an average detection delay of only 7.8 minutes-representing an 87.7% reduction compared to conventional manual response (63.5 minutes). The framework significantly outperforms traditional threesholding and recent ML-based methods while demonstrating practical deployability in live operational enviroments.

Corrective maintenance is one of the maintenance strategies performed after system failures or malfunctions occur, particularly in diesel power plants (PLTD) that play a crucial role in supplying electricity to remote areas such as Jayapura. This study aims to identify the types of failures occurring in diesel engines at the Jayapura PLTD and to evaluate the corrective maintenance actions implemented. Data were collected through direct observation during an internship program, interviews with technicians, and analysis of historical maintenance and failure records. The results indicate that the most common failures occurred in the lubrication system, fuel system, and cooling system. Corrective actions included component repairs, spare part replacements, and system adjustments. The application of timely and appropriate corrective maintenance significantly reduced machine downtime and improved the reliability of the power generation system. This study recommends integrating corrective and preventive maintenance strategies to maximize operational efficiency of the PLTD.