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This study aims to analyze the internal and external conditions of Karel Workshop in Wairhubing, Sikka Regency, using a SWOT approach (Strengths, Weaknesses, Opportunities, and Threats) as a basis for formulating business development strategies. The research employed a qualitative descriptive method with data collected through in-depth interviews with the owner, employees, and customers, as well as secondary data from documents and official statistics. The findings indicate that Karel Workshop possesses several strengths, including meticulous service quality, strong interpersonal relationships with customers, and mechanic skills acquired through self-learning. However, the workshop also faces weaknesses such as limited equipment, the absence of a structured management system, and a lack of digital promotion. Opportunities that can be utilized include high public interest in motorcycle modification, potential motorcycle painting services, a strategic location, and possible partnerships with spare-part suppliers. Meanwhile, the main threats include rising spare-part prices, competition among workshops, and occupational safety risks. Overall, the study recommends strengthening digital promotion, improving business management, enhancing workshop facilities, and implementing safety standards to support the sustainable development of Karel Workshop. 

This community service project aims to develop children's potential through the art of coloring as an effective educational tool to enhance social and cultural understanding. The activity was held at Jl. Binalatung, RT 11, Pantai Amal, Tarakan Timur, a coastal area that is also a border region. The background for this project is the limited access of children in this area to creative activities that could support their personal development and awareness of social and cultural diversity. A coloring competition was chosen as the approach, involving 30 participants from kindergarten to elementary school age, many of whom do not continue to formal education.Using a participatory method, children were not only invited to color but were also given an understanding of the meanings and cultural values embedded in each image. Furthermore, the activity was designed to foster a sense of togetherness, sportsmanship, and self-confidence. The results showed very high enthusiasm from the participants. They were not only able to produce beautiful artworks but also demonstrated an increased understanding of the importance of appreciating differences and cultural diversity. This report proves that the art of coloring plays a crucial role as a tool to bridge the knowledge gap and foster cultural awareness, especially for children in remote and border areas who have limited access to education and educational entertainment. Therefore, it is recommended that similar programs be continued with more varied materials to support the holistic development of children in coastal regions.

This study aims to analyze the internal and external conditions of Karel Workshop in Wairhubing, Sikka Regency, using a SWOT approach (Strengths, Weaknesses, Opportunities, and Threats) as a basis for formulating business development strategies. The research employed a qualitative descriptive method with data collected through in-depth interviews with the owner, employees, and customers, as well as secondary data from documents and official statistics. The findings indicate that Karel Workshop possesses several strengths, including meticulous service quality, strong interpersonal relationships with customers, and mechanic skills acquired through self-learning. However, the workshop also faces weaknesses such as limited equipment, the absence of a structured management system, and a lack of digital promotion. Opportunities that can be utilized include high public interest in motorcycle modification, potential motorcycle painting services, a strategic location, and possible partnerships with spare-part suppliers. Meanwhile, the main threats include rising spare-part prices, competition among workshops, and occupational safety risks. Overall, the study recommends strengthening digital promotion, improving business management, enhancing workshop facilities, and implementing safety standards to support the sustainable development of Karel Workshop. 

This community service project aims to develop children's potential through the art of coloring as an effective educational tool to enhance social and cultural understanding. The activity was held at Jl. Binalatung, RT 11, Pantai Amal, Tarakan Timur, a coastal area that is also a border region. The background for this project is the limited access of children in this area to creative activities that could support their personal development and awareness of social and cultural diversity. A coloring competition was chosen as the approach, involving 30 participants from kindergarten to elementary school age, many of whom do not continue to formal education.Using a participatory method, children were not only invited to color but were also given an understanding of the meanings and cultural values embedded in each image. Furthermore, the activity was designed to foster a sense of togetherness, sportsmanship, and self-confidence. The results showed very high enthusiasm from the participants. They were not only able to produce beautiful artworks but also demonstrated an increased understanding of the importance of appreciating differences and cultural diversity. This report proves that the art of coloring plays a crucial role as a tool to bridge the knowledge gap and foster cultural awareness, especially for children in remote and border areas who have limited access to education and educational entertainment. Therefore, it is recommended that similar programs be continued with more varied materials to support the holistic development of children in coastal regions.

This community service activity aims to improve the knowledge and skills of Aisyiyah Kindergarten teachers in developing their potential and professional competence related to the implementation of inclusive education. Inclusive education requires teachers to have a sufficient understanding of the characteristics of children with special needs (ABK) and the ability to manage diverse students in the classroom. This activity was implemented in the form of systematically designed and applicable workshops and seminars. The training materials covered four main components: recognizing the characteristics of children with special needs, the concepts and principles of inclusive education, curriculum accommodations and assessments in inclusive classrooms, and techniques for identifying and evaluating learning for children with special needs. The results of the activity showed a significant increase in teachers' understanding and skills in managing inclusive classrooms, particularly in developing Individual Learning Plans (ILPs) tailored to the needs of the children. Teachers also became more confident in implementing adaptive and responsive learning strategies to the diversity of students. However, the sustainability of the program still faces several challenges, including limited supporting resources and minimal parental involvement and support. Therefore, ongoing synergy between schools, parents, and other stakeholders is needed to support the optimal implementation of inclusive education.

The transformation of villages into digital villages requires the availability of accurate and integrated data, one of which is geospatial data. Wonoayu Village, Pilangkenceng District, still faces problems such as overlapping land use and limited well-documented geospatial data. This community service activity aims to improve the digital competence of village officials through education on geospatial data management and the practice of creating analog maps using the QGIS application. The implementation method includes partner needs analysis, material preparation, training implementation through interactive lectures, technical demonstrations, hands-on practice, and evaluation using pre- and post-tests. The activity participants consisted of eight Wonoayu Village officials. The results of the activity showed an increase in participants' understanding of basic geospatial concepts, as indicated by an increase in the evaluation score from 72 in the pre-test to 85 in the post-test. In addition, participants were able to process spatial data, digitize it, and produce simple thematic maps that include the coordinates of village officials, educational institutions, and UMKM. This activity has a positive impact on the village's readiness to support data-based development planning and is the first step in realizing a sustainable digital village.

Business legality is an urgent need for MSMEs, particularly in the food sector, which faces strict regulations and high risks to food safety. However, many MSMEs still lack a Business Identification Number (NIB) or Intellectual Property Rights (IPR) protection due to low digital literacy and a lack of understanding of licensing procedures. This situation emphasizes the urgency of mentoring so that MSMEs can operate legally and be legally protected. This Community Service Program (PKM) aims to assist the Golden Kriuq MSME in obtaining an NIB and increase business owners' understanding of the importance of IPR, branding, and digital marketing. The implementation method uses a qualitative approach through observation, interviews, education, documentation, and direct mentoring. Activities carried out include NIB registration through the OSS Indonesia application, logo, banner, and menu design, business Instagram account creation, location determination on Google Maps, and education on the stages of brand registration through the DJKI system. The results show that Golden Kriuq successfully obtained an NIB, has a more consistent visual identity, and has a more professional digital presence. The program's impact is evident in increased awareness of legality, digital administration readiness, and businesses' ability to compete more professionally and sustainably.

Micro, Small, and Medium Enterprises (MSMEs) in rural areas still face various challenges in improving product competitiveness, particularly related to the utilization of digital technology and professional product presentation. One of the main issues encountered by MSME actors in Silau Rakyat Village is the limited understanding of digital branding and the lack of innovation in product packaging, which hinders their ability to compete effectively in the digital market. This community service program aims to enhance MSME competitiveness through training and mentoring in digital branding and product packaging innovation. The program was implemented using a participatory and applicative approach through several stages, including preparation, training, and hands-on practice. The main materials delivered focused on MSME digital branding strategies and product packaging innovation as efforts to increase product value. The results indicate an improvement in participants’ knowledge, skills, and awareness regarding the importance of brand identity, the use of digital media, and attractive and informative packaging. In addition, MSME actors began to apply more professional packaging designs and demonstrated a more adaptive attitude toward digital marketing. This community service activity is expected to support the sustainability of MSMEs and strengthen the local economy in Silau Rakyat Village.

This community service program aims to improve teachers' competency in developing short story writing assessment instruments. This is crucial to ensure objective assessments for all students. This community service program contributes to the Indonesian language curriculum, particularly the short story writing curriculum. This community service program was conducted at Urumb State Junior High School in Merauke, with eight teachers participating. The school faced challenges in assessing the lack of objectivity, specifically the use of assessment instruments that align with the learning objectives. Furthermore, students' short story writing skills were still very low. This community service program enabled teachers to develop valid and reliable short story writing assessment instruments. The program took the form of a workshop, which included outreach through training, mentoring, and discussions with the implementation team. During the training phase, the implementation team provided students with an initial understanding of the importance of objective assessment. This was because, in addition to identifying student abilities, teachers could also assess the success of the teaching and learning process in the classroom. During the mentoring phase, the team provided direct guidance to train teachers in developing short story assessment instruments for student assignments. The questions in the assignments are written in language that is easy for students to understand. After developing the assessment instrument, which is the student assignment, a group discussion is held to refine the short story writing assessment instrument. Furthermore, students can improve their short story writing skills through the assignments in the assessment instrument.

This community service activity was conducted at Grind Now Coffee Bar, an MSME in Batam City’s food and beverage sector, to address challenges in managing raw material inventory, which often led to inaccurate stock records, shortages, and overstocking, affecting daily operations and efficiency. The program aimed to improve inventory management by applying the Economic Order Quantity (EOQ) and Reorder Point (ROP) models, providing a systematic and measurable approach to procurement. Activities included detailed observation of operational practices, interviews with staff to understand current challenges, collection of data on raw material usage and purchasing patterns, and the implementation of a website-based inventory control system to streamline record-keeping and monitoring. The results showed that EOQ and ROP models helped determine optimal order quantities and appropriate reorder timing, while the inventory system improved organization, reduced errors, and enabled real-time stock monitoring. Overall, this intervention enhanced decision-making, promoted operational efficiency, and supported the sustainability and competitiveness of Grind Now Coffee Bar.

Processing plastic waste into fuel oil with pyrolysis technology. Research on plastic oil as an alternative fuel has been widely conducted. One of them is research on processing plastic bag waste into fuel oil with pyrolysis technology. In this study, a set of pyrolysis equipment was made by Lecturers and Students of UMNU Kebumen. The plastic waste used in this study was 1 kg of plastic bag. Meanwhile, the pyrolysis process used a temperature of 250oC-300oC. The fuel oil produced in the pyrolysis process of this study was approximately 400 ml. The average density of fuel oil from plastic bag waste was 0.733 gr/ml. The results of this density calculation are in the possibility of the density of gasoline, namely 0.710 gr/ml to 0.770 gr/ml. This pyrolysis process shows great potential for converting plastic waste into an environmentally friendly alternative energy source. Furthermore, the efficiency of this pyrolysis technology can be improved by adjusting the temperature and processing time, as well as by selecting a wider variety of plastic types. This technology has the potential to be applied more widely in plastic waste management within the community as a solution to reduce environmental pollution while generating renewable energy.

The discharge of surfactant-laden wastewater from the rapidly expanding laundry industry poses significant environmental risks, especially in densely populated urban areas. While constructed wetlands (CWs) and Eco-Enzyme technology have shown promise for surfactant remediation, their standalone application requires long hydraulic retention times (HRTs), limiting practical implementation. This study evaluated the efficacy of a novel integrated system combining a subsurface constructed wetland (SSFCW) with fruit peel-derived Eco-Enzyme to treat synthetic laundry wastewater. Over a 6-day treatment period, the combined system achieved a remarkable surfactant removal efficiency of 99.63%, reducing the concentration from 225 mg/L to 0.835 mg/L—well below the regulatory threshold of 3 mg/L. The synergistic degradation mechanism involves enzymatic hydrolysis via Eco-Enzyme lipase and protease activity, complemented by microbial mineralization in the wetland rhizosphere. This system maintains optimal environmental conditions, with a stable pH of 6.85-7.32 and a temperature of 30.9-35.2°C, supporting robust biological activity. These findings demonstrate that the integrated Eco-Enzyme/SSFCW system overcomes the limitations of conventional HRT approaches, offering a highly efficient, sustainable, and practical decentralized wastewater treatment solution for the laundry industry.  

This study discusses the implementation of the Self-Directed Learning Programme by integrating Learning Outcomes (CP), Learning Objectives (TP), and Learning Objective Processes (ATP) to enhance teaching quality and teacher professionalism. Using a library research method, this study analyses relevant scientific literature to understand the relationship between the integration of the three components of the education programme and classroom teaching practices. The research findings indicate that teachers still encounter challenges in understanding and integrating CP, TP, and ATP, particularly in planning, implementing teaching strategies, and conducting authentic assessments. However, when this integration is well executed, the teaching process becomes more purposeful, flexible and responsive to students' needs. Furthermore, integrating CP–TP–ATP has been shown to strengthen teachers' professionalism by enhancing their understanding of the curriculum, their ability to design learning activities, and their capacity to conduct competency-based assessment. This study confirms that the successful implementation of the Free Education Programme depends heavily on teachers' ability to understand the curriculum's structure and to integrate these three components consistently. Therefore, training, supporting, and developing teachers' competencies is an important requirement for the effective and sustainable implementation of the Liberal Education Programme.

Vocational education in Vocational High Schools (SMK) requires innovative, interactive, and industry-relevant learning media to support students’ independent and competency-based learning. However, learning activities in the subject Communication in the Workplace for Grade XI MPLB at SMKN 62 Jakarta are still dominated by lecture-based methods with limited instructional media, resulting in low levels of student independence and understanding. This study aimed to develop and examine the feasibility, practicality, and effectiveness of an interactive e-book based on Canva for Oral Communication materials in Indonesian Language. The study employed a Research and Development (R&D) method using the ADDIE development model, consisting of analysis, design, development, implementation, and evaluation stages. The research subjects included 36 students in the needs analysis stage, 5 students in the small-scale trial, and 31 students in the large-scale trial. Data were collected through observation, questionnaires, learning outcome tests, and documentation, and analyzed using descriptive qualitative and quantitative techniques. The validation results indicated that the Canva-based interactive e-book was categorized as very feasible, with validation percentages of 100% from the material expert, 88.24% from the media expert, and 95% from the language expert. The small-scale trial showed a practicality percentage of 82.2%, while the large-scale trial reached 88.39%, both classified as very practical. In addition, the pre-test and post-test results in the large-scale trial demonstrated an increase in students’ average scores and a higher number of students achieving the Minimum Mastery Criteria (KKM). Therefore, the Canva-based interactive e-book is feasible, practical, and effective as a learning medium to enhance students’ understanding, motivation, and independent learning in Oral Communication for vocational high school students.

This study aims to analyze the role of Digital Public Relations (DPR) in maintaining public trust in Kopi Tuku's reputation through its Instagram account @tokokopituku. Using qualitative methods with documentation studies, this study analyzed feed posts, captions, comment interactions, and related digital documents. The results show that Kopi Tuku implements a consistent digital communication strategy through simple visuals, humanistic storytelling, and a friendly style of language. This creates a deep perception of authenticity and transparency in the eyes of consumers. Although comment interactions are not too intense, the principle of symmetrical communication is still applied with quick and friendly responses. The consistency of brand values ​​and identity further strengthens public trust, maintaining Kopi Tuku's reputation amidst the intense competition in the coffee industry. This research contributes to the development of digital PR studies and serves as a reference for local coffee industry players in formulating social media-based communication strategies to build closer relationships with consumers.

Pocari Sweat Run as an annual running event of PT. Amerta Indah Otsuka since 2013 has been the main platform to build the brand image of isotonic drinks through an inclusive offline and online hybrid experience. Instagram account @pocarisportid plays a strategic role with digital content such as race teasers, runner testimonials, and UGC content to strengthen the perception of the event as part of a healthy lifestyle. Pocari Sweat Run as one of the National running events utilizes the Instagram account @pocarisportid to convey information, value, and event experience to the audience on a regular basis. This research attempts to examine the role of digital content Instagram @pocarisportid in strengthening the image of the event Pocari Sweat Run. This research uses descriptive qualitative approach with content analysis method. Data analysis was conducted using Ardianto image theory and The Theory of Uses and Gratifications. The finding demostrated  @pocarisportid digital content was able to build a positive image of Pocari Sweat Run as a healthy, professional and inclusive running event. Promotional and educational content represents the expected image (wish image), while documentation of activities and participant testimonials reflect the mental image that emerged from the audience. In addition, digital content is able to meet the needs of information, entertainment, and social interaction of audiences. The implications of this study indicate that the management of digital content that is consistent and oriented to the needs of the audience can be an effective communication strategy in strengthening the image of sports events.

Arabic holds an important position in Islamic education as the language of the Qur'an and Hadith. However, the teaching of Arabic in Islamic educational institutions often focuses only on linguistic aspects, thus not fully achieving the goals of comprehensive Islamic education. This study aims to analyze the strengthening of Arabic language education objectives from the perspective of Islamic Tarbiyah. The method used in this study is qualitative, with a literature study and descriptive analysis approach. The analysis was conducted on relevant sources. The findings indicate that Arabic education within the framework of Islamic Tarbiyah not only emphasizes mastery of language skills but also the importance of shaping students' faith, morals, and Islamic character. The integration of tarbawi values into the objectives, materials, methods, and evaluation of learning becomes a key element in creating Arabic language education that is valuable and aligned with the goals of Islamic education. Its implications are expected to serve as a reference for curriculum development, teacher competence improvement, as well as the formulation of contextual, integrative, and sustainable Arabic language learning policies in national Islamic educational institutions.

Arabic holds an important position in Islamic education as the language of the Qur'an and Hadith. However, the teaching of Arabic in Islamic educational institutions often focuses only on linguistic aspects, thus not fully achieving the goals of comprehensive Islamic education. This study aims to analyze the strengthening of Arabic language education objectives from the perspective of Islamic Tarbiyah. The method used in this study is qualitative, with a literature study and descriptive analysis approach. The analysis was conducted on relevant sources. The findings indicate that Arabic education within the framework of Islamic Tarbiyah not only emphasizes mastery of language skills but also the importance of shaping students' faith, morals, and Islamic character. The integration of tarbawi values into the objectives, materials, methods, and evaluation of learning becomes a key element in creating Arabic language education that is valuable and aligned with the goals of Islamic education. Its implications are expected to serve as a reference for curriculum development, teacher competence improvement, as well as the formulation of contextual, integrative, and sustainable Arabic language learning policies in national Islamic educational institutions.

Background: The increasing complexity of industrial production systems requires machine condition monitoring solutions that are capable of operating in real time with high accuracy and responsiveness to support predictive maintenance strategies. Conventional cloud based monitoring systems often experience limitations such as high latency and dependence on stable network connectivity, which can delay decision making processes in critical industrial operations. Objective: This study aims to design and evaluate an Industrial Internet of Things (IIoT) architecture based on edge computing to improve the efficiency of industrial sensor data processing and accelerate anomaly detection in industrial machines. Method: The research adopts an experimental approach by designing a system architecture consisting of a sensor layer, edge computing layer, and cloud layer. Industrial sensors, including vibration, temperature, and current sensors, continuously collect machine operational data, which are then processed locally at the edge node using a machine learning based anomaly detection algorithm. System testing is conducted in a simulated manufacturing environment to evaluate performance based on latency, reliability, and detection accuracy. Results: The results indicate that edge based data processing significantly reduces latency compared with cloud-based processing and enables faster responses to machine condition changes. Additionally, the implemented anomaly detection algorithm achieves high accuracy in identifying abnormal sensor data patterns.

Background: The development of industrial technology in the Industry 4.0 era has encouraged the implementation of intelligent monitoring systems to improve machine reliability and operational efficiency. However, machine fault diagnosis systems based on artificial intelligence often face limitations in terms of interpretability because the models used are complex and difficult to explain. Objective: This study aims to develop a deep learning-based industrial machine fault diagnosis system integrated with an Explainable Artificial Intelligence (XAI) approach to improve diagnostic accuracy while providing interpretable insights for users. Method: The research method involves collecting data from industrial machine sensors consisting of vibration signals, temperature measurements, and acoustic signals, followed by data preprocessing and feature extraction processes. The processed data are then used to train a deep learning-based diagnostic model, after which explainability methods such as SHAP or LIME are applied to analyze the contribution of each feature to the model’s prediction results. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. Results: The results indicate that the proposed deep learning model achieves better performance compared to conventional machine learning methods such as Support Vector Machine and Random Forest. Furthermore, the explainability analysis reveals that vibration amplitude, increases in machine component temperature, and anomalies in acoustic signals are the main factors influencing machine fault detection. Therefore, the proposed system not only improves the accuracy of machine fault diagnosis but also provides transparency in the decision-making process, thereby supporting the implementation of predictive maintenance in smart manufacturing environments.