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This study examines the quality of outpatient public services for BPJS Health patients at the Regional General Hospital of Dumai City. The purpose of this research is to assess how service quality is experienced by patients and how effectively outpatient services are delivered. A qualitative descriptive approach was used, with data collected through direct observation, in-depth interviews, and documentation. Informants included outpatient service staff and BPJS patients selected purposively to represent both service providers and service users. The analysis focuses on five dimensions of service quality: physical facilities, service reliability, responsiveness, assurance, and empathy. The results indicate that outpatient services are generally perceived as adequate, particularly in terms of physical facilities, diagnostic accuracy, and staff professionalism. However, delays in registration and service processes remain a major concern, mainly due to high patient volume and administrative procedures. In addition, differences in staff communication and interpersonal attitudes lead to variations in patient experiences. Overall, the study highlights the importance of improving service responsiveness and strengthening empathetic communication to enhance patient satisfaction and the effectiveness of public hospital outpatient services.

Background: Immunization is the governments promise to get Sustainable Development Goals (SDGs), especially to decrease the number of infant death rates. Universal Child Immunization (UCI) is an indicator of success in basic immunization in babies immune against a disease. Purpose: To analyze the process of management in achieving UCI. Research Methods: The research used qualitative phenomenological methods. The objective of the research was to analyze the process of management in achieving UCI. The research used qualitative phenomenological methods. It was done in the working area of Bah Kapul Puskesmas. The data were gathered by conducting in-depth interviews with 8 Informantts from Surveillance and Immunization Section Head, the Heads of Puskesmas, participants of immunization program, and practice midwife. Result : The result of the research showed that human resources were inadequate since their qualification was not in accordance with the standards, training was only done by the participants, facility and infrastructure such as KMS preparation and the facility outside the building were inadequate, lacked of staff cars for immunization personnel, there was no counseling about immunization in the field, people were not interested in the program, there were ignorance and lack of involvement of cross-sectors, and there was no monitoring from the Heads of Puskesmas for immunization outside the building. Conclusion : The Heads of Puskesmas should monitor directly immunization service outside the building and not only monitor through the report. The management of Puskesmas should provide counseling about the importance of immunization for targeted parents before posyandu service is done. The cross-sectors should support the implementation of immunization, actively play and collaborate in its implementation.

This study aims to determine the partial and simultaneous effects of motivation, discipline and facilities on the job performance of UPTDPagerbarang Clinic employees. This research is included in quantitative research using a sample of 87 UPTD Pagerbarang Oinic employees with saturated sampling technique. The data was processed with the SPSS 26.00 application using the multiple regression method. The results of data processing from this study show the results where the three independent variables have a significant  effect on improving employee performance. The results of hypothesis testing show that motivation, discipline, and work facilities have a very significant effect on employee performance. The results of the F test show that simultaneously has a significant influence on employee performance.

Accurate image segmentation is a pivotal process in medical imaging, essential for supporting diagnosis, treatment planning, and monitoring disease progression. This study evaluates the effectiveness of machine learning algorithms, including U-Net, Fully Convolutional Networks (FCNs), and Mask R-CNN, in achieving high-precision segmentation of medical images. Experimental results demonstrate that these models significantly enhance segmentation accuracy, enabling more precise diagnostic outcomes in clinical settings and advancing the development of automated medical imaging technologies.

Smart grids incorporate IoT devices that enhance energy management, monitoring, and overall grid efficiency. However, this interconnectivity also increases vulnerability to cybersecurity threats, posing risks to critical infrastructure. This research investigates the implementation of blockchain technology to secure data transactions within IoT-based smart grids. By leveraging blockchain's decentralized, tamper-resistant characteristics, the study demonstrates improvements in data integrity and cybersecurity for smart grids, providing a potential framework for resilient and secure energy infrastructures.

Energy efficiency is a critical concern in wireless sensor networks (WSNs) due to the limited power resources available in sensor nodes. Prolonging network lifespan while ensuring reliable data transmission is essential for successful deployment in various applications, such as environmental monitoring, military operations, and industrial automation. This paper presents a mathematical model designed to optimize energy consumption across various nodes in WSNs. By implementing simulations and analyzing data from these models, the study demonstrates significant improvements in extending network lifespan while maintaining reliable data throughput. The findings contribute valuable insights into energy management for large-scale sensor deployments.

Power systems are critical infrastructure that face significant challenges due to increasing demand and inherent complexity. Predicting failures in power systems is crucial for enhancing grid reliability, minimizing downtime, and optimizing maintenance processes. This study evaluates various deep learning models, specifically convolutional neural networks (CNN), recurrent neural networks (RNN), and transformer models, for predicting power system failures. By analyzing these models’ performance metrics on historical power grid data, the study provides insights into the strengths and weaknesses of each approach. The findings contribute to the development of more robust predictive models for power system reliability.

One of the objectives of this study was to determine how the Marketing Mix on Customer Satisfaction on Ornamental Coral Exports at PT. Agung Aquatic Marine Denpasar Bali. The type of research used is quantitative method with data collection techniques through distributing questionnaires given to customers of PT. Agung Aquatic Marine Denpasar, Bali, the population of this study were all customers of PT. Agung Aquatic Marine Denpasar, Bali with a sample of 10 customers. the analysis technique used in this study uses simple linear regression statistical analysis with the help of the SPPS version 22 application. The results of simple regression analysis obtained the coefficient of determination with the R Square number 0.573 or 57.3%, which means that the marketing mix can contribute to customer satisfaction by 57.3 percent and the remaining 42.7 percent is influenced by variables not discussed in this study. From the partial test results, the tcount value of the marketing mix variable is 3.276> from the t table 1.859, this means that there is an influence of the marketing mix on customer satisfaction in ornamental coral exports. Thus H0 in this study is rejected and H1 is accepted, meaning that there is an Effect of Marketing Mix on Customer Satisfaction on Ornamental Coral Exports at PT. Agung Aquatic Marine Denpasar, Bali.

The growth of the urban population has led to a shortage of agricultural land. This has led to an increase in urban agriculture, including hydroponics. The purpose of this research is to find out the partnership mechanism between hydroponic family farm and PT Puspa Agro Farm Sukabumi. This research uses descriptive analysis method found that the partnership between hydroponic family farm and PT Puspa Agro Farm is plasma core pattern. This pattern describes the assistance to hydroponic family farms from PT Puspa Agro farm. This is done to produce high quality plants and meet the criteria.  The types of plants are pakcoy mustard, pagoda mustard, curly lettuce, and romaine lettuce for each plant. Family farms establish partnership relationships through the Inti-plasma mechanism. The partner company guides the production process of partner farmers so that they can provide quality vegetables in accordance with the SOPs that are applied. The partnership pattern between Family Farm and PT Puspa Agro is a core-plasma mechanism. The plants produced are pakcoy mustard, pagoda mustard, curly lettuce and roamine lettuce. The benefits of the nucleus-plasma partnership pattern are that it can improve in economic and technical terms. Family Farm plants are of high quality and can meet consumer criteria.

In fishing, the majority of the Gisik Cemandi villagers use gill nets as fishing gear, which also affects the catch of white snapper. The practice of pulling nets at different times can produce different catches. The purpose of this research is to identify the composition of the gillnet catch. And to analyze the effect of differences in towing time on the gillnet catch. And to find out the optimal towing time in catching white snapper using gillnet fishing gear. Data analysis uses statistical analysis using Analysis of Variance (ANOVA) and Normality to ensure that the data analyzed is appropriate. To see whether or not there is an effect of the soaking time, if there is a significant effect, the statistical analysis is continued with the BNT Test for the soaking time with which time gives the best white snapper catch. These results indicate that there is a significant difference in the catch variable between the 4-hour treatment with 3 hours and 2 hours.    

Boat lift net is a fishing tool that operates at night. This tool has the aim of getting catches in large quantities by using light aids from lamps. This research aims to investigate the effect of different colors of lights on the catch of anchovies (Stolephorus sp) on boat fishing gear in the waters of Karantu Serang, Banten. The experimental fishing method will be used with two different colored lights, namely green and white. Anchovy catch data will be collected and analyzed to evaluate whether there are significant differences in the number of anchovy catches caught in the two different light colors. It is hoped that the results of this research will provide a better understanding of the influence of different colors of lights on the catch of anchovies (Stolephorus sp) on boat fishing gear in the Karangantu waters of Serang, Banten.      

Nemo fish (Amphiprion sp.) is a type of marine ornamental fish that is popular because it is unique in terms of color, shape and movement. Feed is a factor in the growth and survival process of nemo fish. The aim of this research was to determine feed adaptation to the efficiency and feed conversion of nemo fish seeds. The research used an experimental method using a Completely Randomized Design consisting of 3 treatments and 3 replications. Treatment A (silk worms), treatment B (pellets) and treatment C (combination of 70% silk worms and 30% pellets). The best absolute weight growth results were in treatment C, namely 0.33 grams, while the lowest were in treatment B, namely 0.28. The survival rate (SR) during maintenance in each treatment was 100%. The best feed efficiency was in treatment C at 16.17% and the best feed conversion ratio was in treatment C with the lowest conversion ratio value of 4.81. Based on the results of the research conducted, it was concluded that feed adaptation for nemo fish seeds did not have a real influence on the efficiency and feed conversion of nemo fish seeds (Sig. > 0.05).    

This study aims to evaluate the effectiveness of the discovery learning model assisted by animated videos in improving student learning outcomes on the material of the digestive system in humans in class VIII A SMP Negeri 1 Bolaang. This model was chosen because it can encourage students to participate more actively in learning, while also using technology to help understand more complex material. This study uses the Classroom Action Research approach which is carried out in two cycles. Each cycle consists of stages of planning, implementation, observation, and reflection to evaluate and improve the learning process. The results of the study showed that the application of the discovery learning model assisted by animated videos succeeded in improving student learning outcomes. In the first cycle, only 23.33% of students achieved complete learning, but in the second cycle, the percentage of students who completed increased to 86.66%. This increase occurs because students are starting to be more active in group discussions and more confident in expressing opinions. The use of animated videos also helps students understand the material in a more visual and fun way. This research makes an important contribution to the development of technology-based learning methods, especially in biology learning. These findings suggest that animated videos in learning can improve student engagement and their learning outcomes. This study suggests that further research be conducted to explore the application of this model to other subjects or at higher levels of education, in order to identify its broader benefits in educational contexts.

Education in Indonesia continues to grow, but the main challenge in learning Biology, especially in cell material, is the lack of student involvement. Many students rely more on memorization methods than understanding concepts, which impacts their low learning outcomes. This study aims to explore the effectiveness of  the Plants vs Zombies game-based learning method in improving the cognitive learning outcomes of students in grades XI-B at SMA Negeri 1 Tondano, especially in cell biology materials. This study uses the Classroom Action Research (PTK) approach, which is carried out in two cycles. In the first cycle, students were invited to learn through the Plants vs Zombies game which was integrated with the Team Games Tournament (TGT) learning model. Data is collected through observation and cognitive tests to measure student learning outcomes. The results showed a significant increase in student learning outcomes. The average score of students increased from 71.2 to 87.27, with the highest score reaching 92.3 and the lowest score being 76.9. Students also show improvements in engagement, collaboration, and motivation to learn. This research indicates that the application of games as learning media can make abstract biology material more interesting and easy to understand. In addition, this study also highlights the important role of teachers in facilitating game-based learning. The implications of this study show that game-based methods can be an innovative solution in improving the quality of learning in the 21st century.

Background: Public opinion analysis has become increasingly important in the digital era, where social media platforms generate large-scale textual data reflecting public perceptions toward environmental policies. Advances in Natural language processing (NLP) and machine learning enable systematic sentiment classification to support data-driven decision-making. Objective: This study aims to evaluate the effectiveness of several sentiment classification models in analyzing Indonesian-language social media data related to environmental policies. Method: The research employed a text mining pipeline including data crawling, preprocessing (case folding, tokenization, stopword removal, and stemming), and vectorization using TF-IDF. Three classification models Logistic Regression, Support Vector Machine (SVM), and Long Short-Term Memory (LSTM) were trained and evaluated using accuracy and F1-score metrics. Results: Experimental findings indicate that LSTM achieved the highest performance with 91.7% accuracy and 91.2% F1-score, outperforming SVM (88.5%) and Logistic Regression (84.2%). Sentiment distribution analysis shows that public opinion is dominated by positive sentiment (47.5%), followed by neutral (32.0%) and negative (20.5%). Overall: The results demonstrate that deep learning-based models provide more robust contextual understanding and more reliable sentiment mapping for environmental policy analysis.

Health is an important factor that influences the quality of life of the community. This study aims to increase awareness of the people of Karawana Village, Dolo District, Sigi Regency, about the importance of maintaining cholesterol levels through regular physical activity. The methods used include counseling, healthy exercise, and cholesterol checks using a cholesterol meter. This activity was attended by 8 participants aged over 40 years. The results showed that 2 participants had total cholesterol levels above 239 mg/dL, which indicates a high risk of cardiovascular disease. The education provided succeeded in increasing public understanding of the importance of a healthy lifestyle and regular health checks. The conclusion of this activity is the need for follow-up in the form of health counseling and ongoing education programs to maintain public health related to cholesterol.

Vehicle Operating Costs (VOC) refer to the expenses incurred by entrepreneurs/ operators in manage public transportation in a year. The ‘Recealed Pteference’ method is used to determine VOC by conducting a survey based on field conditins. This research aims to determinethe VOC on rural public transport on the Letta-Bungi route and compare the applicable transport rates with the VOC analysis results. It also aims to find out how much income is generated by rural public transportation busineses operating on the Letta-Bungi route. The research employs a quantitative survey method and analysis data using formulas, literature, journals and previous research. The analysis of Vehicle Operational Costs (VOC) for rural public transport on Letta-Bungi route in Pinrag Regency was conducted. For an annual mileage of 11,160 km/year and an average speed of 30 km/hour. According to the analiysis, the yearly operating cost of the vehilcs is IDR 232.956.075,- and the Operating Cost per km is IDR 20.874.20,-. The current tariff of IDR 50.000,-/pnp is higher than the calculated tariff of IDR 42.443,-/pnp. The  study analysis also shows that the profits obtained by business operators amount to IDR 55.043,925,-/year and IDR 4.932,25,-/km.

Teripang merupakan salah satu sumberdaya hayati laut yang banyak terdapat di perairan P. Nyamuk dan Parang terutama untuk jenis Stichopus sp., yang merupakan jenis dengan nilai ekonomis tinggi.  Namun produksi teripang saat ini menurun drastis. Untuk itu perlu dilakukan suatu upaya untuk meningkatkan produksi teripang yaitu dengan jalan budidaya, mulai dari produksi benih, pembesaran, sampai teripang siap jual. Berdasarkan permasalahan dan situasi kelompok mitra yang ada maka metodologi solusi masalah yang ditawarkan adalah melakukan percontohan budidaya teripang. Target luaran yang dicapai pada program pengabdian ini adalah alih teknologi budidaya teripang, perbaikan produksi teripang dari usaha penangkapan menjadi usaha budidaya yang mendukung konservasi sumberdaya teripang itu sendiri.  Keberhasilan dari program ini dapat dilihat dari jumlah peserta yang mengikuti penyuluhan sebesar 70 % anggota yang giat melakukan uji coba fission pada teripang yang merupakan salah satu upaya pengalihan dari nelayan pengambil teripang menjadi pembudidaya teripang.

Desa Meteseh, Kecamatan Tembalang, Kota Semarang memiliki potensi besar di bidang batik dan makanan olahan. Salah satu kelompok pengrajin, batik Sanggar Tapak Dara, mengalami penurunan penjualan dan kurangnya daya saing. Untuk mengatasi masalah ini, direncanakan pelatihan dan pendampingan. Tujuannya adalah meningkatkan pendapatan, motivasi, ketrampilan menggunakan media sosial dan Marketplace dalam memasarkan, serta daya saing anggota pengrajin. Manfaatnya termasuk peningkatan motivasi dan ketrampilan, serta daya saing pengrajin. Dengan menerapkan metode-metode secara terintegrasi dan berkelanjutan, Sanggar Batik Tapak Dara dapat mengembangkan strategi yang efektif untuk meningkatkan kinerja bisnis mereka dan menghadapi tantangan dalam era perekonomian digital. Diharapkan kegiatan ini akan membantu meningkatkan pendapatan dan keberlanjutan usaha masyarakat pengrajin batik Tapak Dara.

Digitalisasi siswa Sekolah Dasar penting untuk memberikan pelatihan membuat poster dengan menggunakan aplikasi dalam pemanfaatan teknologi di pembelajaran. Kegiatan pengabdian pada siswa SD Negeri 5 Talang, Kelas 6 di Bandar Lampung bertujuan mengajarkan siswa melalui menggunakan PixelLab dalam bereksperimen di pelajaran Matematika pada praktik Market Day yang diadakan sekolah. Hal ini bertujuan untuk mendekatkan dunia pembelajaran kepada anak-anak melalui pemanfaatan aplikasi PixelLab dengan cara yang menarik dan interaktif, dapat mengakses bantuan teknologi dan mengembangkan kreativitas siswa. Metode yang digunakan melalui pendekatan partisipatif dan komunikasi   individual, dengan tahapan sosialisasi berupa ceramah, demonstrasi, pelatihan, dan evaluasi. Hasil dari kegiatan sosialisasi dan pelatihan secara umum menghasilkan keberhasilan berupa ouput bagi peserta pelatihan; keberhasilan    dalam    partisipasi    peserta dengan   keaktifan    siswa    dalam   diskusi, sangat responsif dan bersemangat, tersampaikannya materi  sesuai dengan rencana  dan    target, dan terjadi peningkatan  pengetahuan  jumlah siswa yang sebelumnya mengetahui aplikasi PixelLab hanya 5%, dan setelah sosialisasi meningkat menjadi 95%. Dan hasil pelatihan penggunaan disimpulkan bahwa tujuan pelatihan tercapai dengan baik dimana jumlah siswa yang awalnya bisa menggunakan aplikasi hanya sebesar 2%,  dan setelah pelatihan meningkat menjadi 98% mampu menggunakan aplikasi untuk menghasilkan poster. Hasil akhir adalah siswa mampu membuat poster-poster yang menarik dengan menggunakan aplikasi PixelLab.