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The development of digital technology and internet penetration are driving changes in consumer behavior and demanding that MSMEs not only adapt but also understand the operational motives and marketing channel integration strategies to face competition in the digital era. This study aims to examine the operational motives and technical adaptation processes of Micro, Small, and Medium Enterprises (MSMEs) in Bali in integrating online and offline marketing channels through an omnichannel strategy to respond to intense market competition in the digital era. This descriptive qualitative research uses a multiple case study approach in three different MSME sectors: goods maintenance services, creative services, and fashion retail. Data collection was conducted through direct observation, in-depth interviews, and a review of digital activities, then analyzed through single-case and cross-case stages. The results show that MSMEs optimize digital channels as instruments to expand reach and trigger consumer emotional engagement through a visual storytelling approach, while physical stores are crucially maintained as points of sensory validation. Functional integration has been proven to accommodate the shift in consumer behavior towards a hybrid decision-making pattern. In this pattern, consumers conduct information searches and initial evaluations online, but tend to shift to offline interactions to validate quality and finalize transactions to minimize purchase risk. In conclusion, cross-channel operational synergy has proven essential in boosting the competitive advantage of MSMEs.

King Royal Hotel Restaurant still applies manual sales transaction recording, causing data management and revenue report preparation to be less than optimal. This study aims to design and implement a Flutter-based sales and revenue reporting application that utilizes local storage as a data storage mechanism on the device. The system development method used is the Waterfall method, which includes the stages of requirements analysis, design, implementation, testing, and maintenance. The application was developed using the Flutter framework with the Dart programming language and utilizes the shared_preferences and hive packages for local data management on the device without requiring an internet connection or external database server. In addition, the application is designed to be easy for restaurant employees to use in recording daily transactions more quickly and accurately. Testing was conducted using the Black Box Testing method, which showed that all application features functioned according to functional requirements. The results of the study indicate that the Flutter-based application with a local storage approach is capable of improving transaction recording efficiency and generating revenue reports automatically at King Royal Hotel Restaurant.

The oil and gas industry requires efficient initial processing to separate reservoir fluids into oil, gas, and water phases. The Separator Unit is the main facility that plays a vital role in the surface facility production stage. This study aims to evaluate the type of separator used, identify control components, and understand the working principles and operational procedures of separators in the Main Production Facility (MPF) area. The methodology used is direct observation and literature studies during the implementation of practical work in July 2024 at PT. Citic Seram Energy Limited, Seram Non Bula Block, Maluku. The observation results show that the type of separator used is a Horizontal Three Phase Separator with tag codes 03-V-001A and 03-V-001B operating alternately. The separation process is carried out based on differences in fluid density utilizing gravity, supported by internal components such as deflector plates, mist extractors, weirs, and straightening vanes. Separator operation is maintained at an operating pressure of around 55 psig to ensure optimal separation efficiency and work safety. The conclusion of this study indicates that effective separator operation requires stable pressure and temperature control as well as routine maintenance to prevent sediment buildup and maintain product quality.

Public facilities play an important role in supporting community activities, especially in sports and social interaction. However, inadequate maintenance can reduce their functionality and user comfort. This study aims to improve the function of public facilities through the revitalization of a badminton court area at the Technical Implementation Unit for Road and Bridge Management in Surabaya, making it more feasible, safe, and comfortable for use. The study employs a quantitative descriptive approach combined with Participatory Action Research (PAR), with data collected through direct observation of facility conditions before and after revitalization. The results show a significant improvement in the quality of infrastructure, both in physical condition and environmental comfort. The revitalized court supports better sports activities and increases user participation. These findings indicate that revitalization not only enhances facility quality but also promotes greater utilization, improved social interaction, and a more productive environment, demonstrating its effectiveness in optimizing public facility functions.

This study examines the effectiveness of local government policies in infrastructure development and urban park management as multifunctional public spaces at Bundaran Besar Palangkaraya. Rapid urban development and increasing community needs for public spaces have encouraged the government to revitalize this area as a city landmark and social interaction space. This study uses a qualitative descriptive method with data collection techniques through literature review, observation, and documentation. The results show that the development and revitalization of Bundaran Besar have improved aesthetic quality, public facilities, environmental conditions, and social functions. However, several challenges remain, including limited accessibility for certain groups, suboptimal management and maintenance systems, and traffic and parking issues during peak hours. The analysis indicates that although government policies have contributed positively to the development of public spaces, their effectiveness is still not fully optimal. Therefore, stronger governance, community participation, and sustainable management strategies are needed to enhance the role of Bundaran Besar as an inclusive, functional, and sustainable public space.

Analysis of the business situation experienced by PT Spectrum Lintas Service indicates that the achievement of success in obtaining large-scale project contracts is greatly influenced by the technical image and confidence given by clients. This study aims to investigate the impact of Improving Technical Qualifications, Customer Relationship Management, and Procedural Governance Quality on the Achievement of Competitive Advantage at PT Spectrum Lintas Service. The study population consisted of a total of 141 customers. The data analysis approach used was the SPSS tool to test the research hypothesis through t-test and F-test. The results of the F-test showed a significance probability value of 0.000 smaller than 0.05. Based on the findings, it can be concluded that improving technical qualifications, customer relationship management, and procedural governance quality significantly contribute to the competitive advantage of PT. Spectrum Lintas Service. Improving technical qualifications has a negative but not substantial impact on competitive advantage, with a significance value of 0.110 greater than 0.05. Customer relationship management has an impact on competitive advantage with a significance value of 0.00, which is smaller than 0.05. The quality of the procedural system has a significant influence on competitive advantage.

Correspondence administration is vital for supporting operational efficiency in schools. However, manual management often leads to issues such as data retrieval delays, recording errors, and the risk of lost archives. This research aims to design and develop a Web-Based Administration Data Monitoring Information System using QR Codes at UPTD SMAN 3 Majene. The study employs the Research and Development (R&D) method with the Waterfall model, encompassing requirements analysis, system design, implementation, testing, and maintenance.The system involves three primary users: Admin/Administrative Staff, Teachers, and the Principal. QR Codes are implemented as digital identities to facilitate easier archive tracking and retrieval. Results indicate that the system enhances effectiveness and efficiency in correspondence management, accelerates letter request services, and simplifies data monitoring for school management. This system is expected to provide a solution for achieving orderly administration at UPTD SMAN 3 Majene. Furthermore, QR Code integration ensures document validity and digital archive security, supporting a more modern, transparent, and sustainable school governance transformation.

Advances in information technology have brought significant changes to how Micro, Small, and Medium Enterprises (MSMEs) conduct their business operations, particularly in the areas of marketing and sales. However, Stretto Pizza MSME still relies on manual processes for ordering and transaction recording, which results in limited marketing reach, suboptimal data management, and an increased risk of errors in recording. This study aims to develop a web-based e-commerce information system that can integrate sales processes and data management more effectively. System development was conducted using the Waterfall method, which includes the stages of requirements analysis, design, implementation, testing, and maintenance. The system was built using the PHP programming language with MySQL database support. System testing was performed using the Black-Box Testing method to ensure that every feature functions according to user needs. The research results show that the designed system is capable of supporting product ordering processes, customer data management, sales transactions, and report generation more efficiently. With this system, it is hoped that the Stretto Piza SME can improve its operations while expanding its marketing reach through the use of digital technology.

This research is motivated by the importance tank cleaning process on tankers to prevent cargo contamination, maintain cargo quality, and ensure crew safety. MT. Marina Prosperity, a chemical/oil tanker, uses the Butterworth system as the primary method for tank cleaning at every cargo change. However, in practice, technical and operational constraints are still found that affect the results of tank cleaning. The research method used is descriptive qualitative with data collection techniques through direct observation on the ship, interviews with the Chief Officer and Boatswain, and documentation studies in the form of log books and SOPs. Data were analyzed by focusing on three aspects, namely work efficiency, work safety, and operational procedures for using Butterworth. The results show that the use of Butterworth can increase time and energy efficiency compared to manual methods, with an average cleaning time of 2–4 hours per tank depending on the type of cargo. From a safety aspect, Butterworth reduces the need for crew to enter the tank, thereby reducing the risk of exposure to chemicals and hazardous atmospheres. However, work effectiveness and safety are greatly influenced by the condition of the equipment, the stability of water pressure, and the crew's discipline in implementing the SOP. On several occasions, steps such as nozzle cleaning, manual mopping, and safety meetings were not consistently performed, resulting in residual load in certain areas. With routine equipment maintenance, close supervision, and ongoing crew training, Butterworth can be optimized to produce more effective, safe, and standards-compliant tank cleaning process.

Archives are documents stored by an institution responsible for managing documents or organizing archival programs. Archives have an important role as a source of information in an agency so it is important to research. This study aims to analyze the management of incoming and outgoing mail archives in Rangkah Kidul Village, Sidoarjo District using descriptive qualitative research methods with data collection techniques in the form of interviews, observation and documentation. The focus of this study is the management of archives from the stages of creation, use, maintenance and reduction of archives. Informants in this study with five informants. Data analysis techniques with data reduction, data presentation and conclusion drawing. The results of the study show that 1) the process of creating archives is running quite well supported by the use of the Ebuddy application, although it is still physical. 2) at the stage of archive use, searching is still done manually by searching one by one depending on one officer. 3) at the stage of archive maintenance, the storage process is based on the time of creation, but has not been sorted based on use value and there is no SOP. 4) at the stage of archive reduction, there has never been a transfer or destruction so all archives are still stored.

This research aims to develop an information system for the Imam Malik Koppe Mosque in Darma Village, Polewali District, Polewali Mandar Regency, utilizing the eMasjid platform as a solution for digitally managing mosque activities. The problem faced was the suboptimal recording of activity data, financial data, and service information for the congregation. The system development method used the Waterfall model, which consists of needs analysis, system design, implementation, testing, and maintenance. The result of this research is a mosque information system capable of presenting information on activities, financial data, reports, and communication between administrators more efficiently, transparently, and accountably. This system is expected to be an effective and user-friendly means of digitizing mosque management.

The unavailability of intake and exhaust valves for 500 cm³ diesel engines manufactured in the 1980s has created difficulties in maintaining and operating agricultural tractors. This study aimed to manufacture replacement intake and exhaust valves using SUH 35 austenitic steel according to the original engine specifications. The production process included design preparation, material selection, raw material measurement, forging, machining, heat treatment, quality inspection, and packaging. SUH 35 steel rods measuring 12 mm in diameter and 105 mm in length were used as the raw material. Forging was performed to form the valve heads, producing exhaust valves with a diameter of 30 mm and thickness of 2 mm, and intake valves with a diameter of 35 mm and thickness of 2.5 mm. After machining, the final dimensions of the exhaust valve were 29.5 mm head diameter, 2 mm thickness, 105 mm length, and 7 mm stem diameter, while the intake valve measured 33.5 mm head diameter, 2.5 mm thickness, 105 mm length, and 7 mm stem diameter. Hardening treatment produced a hardness value of 40 HRC. The manufactured valves met the required dimensional and mechanical specifications. The production cost was IDR 100,000 per unit, with a processing time of approximately 60 minutes per unit. The results demonstrate that replacement valves for 500 cm³ diesel engines can be successfully reproduced, enabling the continued operation and maintenance of older tractor engines.

The implementation of predictive maintenance supported by SAP Plant Maintenance (SAP PM) at PT Xyz has proven to be effective in reducing machine downtime, lowering maintenance costs, and improving asset reliability. The integration of SAP PM with Industry 4.0 technologies such as IoT sensors, AI-based analytics, and real-time notification systems strengthens operational efficiency and ensures continuous performance. Empirical results show improvements in key performance indicators, including a 20-25% reduction in downtime, a 30% reduction in maintenance costs, an increase in asset availability to 97%, an MTBF extension of up to 511 hours, and an OEE rate of 92.1%. These findings highlight the strategic role of digital predictive maintenance in increasing competitiveness and supporting long-term sustainability in manufacturing operations.

This household appliance and machine repair and maintenance program is designed to promote economic independence for the community in Sedati Village, Sidoarjo, by strengthening technical skills based on local potential. The underlying problem of this activity is the community's high dependence on external repair services and limited ability to handle household appliance damage independently. Therefore, the Asset-Based Community Development (ABCD) approach is used, which focuses on utilizing the assets, potential, and capacity already possessed by the community. The program is implemented in a participatory manner, with stages including identification and mapping of local assets, joint planning, technical skills training, hands-on practice, and activity evaluation. The results show an increase in the community's ability and understanding in performing simple household appliance maintenance and repairs. Furthermore, the community is beginning to recognize economic opportunities from their skills, thus potentially developing independent repair service businesses. Thus, the application of the ABCD approach in this activity has proven effective in strengthening the community's economic independence in a sustainable manner through optimizing local assets. Going forward, ongoing mentoring efforts are needed to ensure that the potential that has been established can continue to develop and provide broader economic benefits.

This systematic literature study conducts a comparative analysis of Reliability-Centered Maintenance (RCM) and Total Productive Maintenance (TPM) in manufacturing, and proposes an integrated hybrid model. The research concludes that RCM and TPM are fundamentally distinct methodologies: RCM excels in risk-based, analytical management of complex, high-criticality assets, while TPM is superior for achieving broad-based productivity gains and cultural empowerment through total employee involvement. The effectiveness of each approach is contingent upon factors such as asset characteristics, organizational culture, data availability, and level of automation. To leverage their complementary strengths, the study proposes the Synergistic RCM-TPM Hybrid Model (SRTHM). This framework advocates for a sequential implementation where TPM establishes the foundational operational stability, discipline, and data culture, upon which selective RCM analysis is applied to critical assets for precision risk management. The model incorporates explicit feedback mechanisms to create a continuous organizational learning cycle. The study provides a contingency framework for methodology selection and a practical roadmap for integration, offering theoretical and practical guidance for building more resilient and context-appropriate maintenance systems in modern manufacturing.

The use of moldboard plows in agricultural land preparation often faces wear problems on the share component, leading to increased maintenance time and reduced operational efficiency. This study aims to design and analyze a modular concept for the plow share to improve maintenance and repair efficiency without compromising structural performance. The research methods include field observation, component dimension measurement, design modeling using CAD software, and structural analysis using the Finite Element Analysis  (FEA) method. In addition, maintenance ease was evaluated through a questionnaire based on a rating scale. The results show that the modular design significantly improves maintenance and repair efficiency, with an average score of 4.59 categorized as very good. Structural analysis indicates that the modular design reduces maximum stress on the moldboard and slightly decreases deformation, reflecting improved structural stiffness compared to the conventional design. However, the Safety Factor on the share component remains below the acceptable limit, indicating the need for further development. Overall, the modular design provides an effective solution to enhance maintenance efficiency while maintaining the structural performance of the moldboard plow.

Predictive maintenance (PdM) plays a crucial role in modern industrial systems by minimizing downtime, reducing maintenance costs, and optimizing asset performance. However, many predictive models operate as “black box” systems, limiting transparency and making it difficult for operators to interpret their outputs. This study aims to integrate Explainable Artificial Intelligence (XAI) techniques with Remaining Useful Life (RUL) prediction models to improve both accuracy and interpretability. Various machine learning and deep learning approaches, including Support Vector Machines (SVM), Random Forest (RF), XGBoost, Long Short-Term Memory (LSTM), and Convolutional Neural Networks (CNN), are employed to predict RUL using real-time sensor data from rotating machinery. XAI methods such as SHAP, LIME, and attention mechanisms are applied to provide human-understandable explanations of model predictions. The models are evaluated based on accuracy, Root Mean Square Error (RMSE), and interpretability scores. The results show that XAI-enhanced models outperform traditional approaches in predictive performance while offering greater transparency. These explanations help maintenance engineers better understand the factors influencing predictions, thereby improving decision-making and trust in the system. Nevertheless, the integration of XAI introduces additional computational complexity, which may pose challenges for large-scale industrial implementation. Overall, this study highlights the potential of combining XAI with RUL prediction to develop more reliable, transparent, and effective predictive maintenance solutions.

This study aims to evaluate the implementation of Palangka Raya City Regional Regulation Number 9 of 2024 concerning Tourism Villages at the Sei Batu tourist attraction in Sei Gohong Village, with a primary focus on facility maintenance and the development of the local community’s creative economy. In addition, this study seeks to understand the extent to which the policy is able to encourage community participation in managing tourism potential in a sustainable manner. The research employs a descriptive qualitative approach through field observations, in-depth interviews, and documentation, with informants purposively selected from management, local government, and community elements. The results indicate that the implementation of the policy has not been optimal, as reflected in weak communication among stakeholders, limited human and financial resources, low commitment among implementers, and ineffective institutional coordination. Furthermore, the lack of regular monitoring and evaluation has also slowed the achievement of policy objectives. This condition has led to neglected tourism facilities and the underdevelopment of local creative economy products as part of community empowerment efforts. These findings indicate a gap between the formulated policy and the reality of its implementation in the field. Therefore, comprehensive improvements are needed in aspects of communication, resources, disposition, and bureaucratic structure, accompanied by enhanced collaboration among relevant stakeholders, so that the objectives of community-based tourism development can be achieved sustainably and provide tangible benefits to the local community

Bali cattle have significant potential advantages and are sought after by breeders and farmers due to their adaptability to the environment and high productivity. The management of Bali cattle in Mawasangka District, through a local government program, is expected to foster awareness of efficient and optimal livestock farming. This study aims to analyze the input and output of the Bali cattle assistance program from the village government in Mawasangka District, Central Buton Regency. The method used in this study uses observation, interview, documentation and analyzed using descriptive analysis. The number of respondents used was 40 people. The research respondents were taken from two villages, namely Matara and Wasilomata villages. The results of this study indicate that the impact of village regulations on the management of Bali cattle assistance in Mawasangka District, Central Buton Regency : (1) The input process of the Bali cattle assistance program has been in accordance with the previously determined plan, namely 40 Bali cattle breeders and males. (2) Output (results) there was an increase in the number of livestock owned, an increase in the maintenance system and the number of pens owned increased.

Software Defect Prediction (SDP) aims to identify defective modules early in the software development lifecycle to improve software quality and reduce maintenance costs. However, SDP datasets commonly suffer from high dimensionality, feature redundancy, and class imbalance, which can degrade model performance and stability. This study proposes a hybrid feature selection framework to address these challenges and enhance prediction performance. The proposed approach integrates Combined Correlation and Mutual Information (CONMI), which combines the Pearson Correlation Coefficient (PCC) and Mutual Information (MI) to capture both linear and nonlinear feature relevance. The selected features are further refined through Top-K selection, correlation-based filtering to reduce multicollinearity, and Backward Elimination (BE) to obtain an optimal feature subset. To address class imbalance, SMOTE-Tomek is applied by combining over-sampling and data cleaning techniques. Experiments are conducted on twelve NASA MDP datasets using Logistic Regression (LR) and Naïve Bayes (NB) classifiers. The results show that the proposed framework consistently achieves the best performance, with Logistic Regression combined with SMOTE-Tomek obtaining the highest average AUC of 0.7923 ± 0.0714, while NB achieves 0.7554 ± 0.0580. Statistical analysis using a paired t-test indicates that the proposed method significantly outperforms MI+SMOTE-Tomek and BE+SMOTE-Tomek for Logistic Regression, whereas no significant differences are observed for NB. In addition to improving overall classification performance (AUC), the proposed approach also enhances minority class detection, as reflected in improved Recall and F1-score. Overall, the proposed hybrid framework provides an effective and reliable solution for software defect prediction, particularly for high-dimensional and imbalanced datasets.