The geomorphological condition of Fakfak Regency is dominated by limestone. It makes ground water difficult to access. The clean water crisis in Fakfak Regency requires people to look for alternative sources of clean water such as rainwater. However, during the dry season, people will have great difficulty with clean water. Cloudfisher or fog catcher is a technique for collecting fog that have condensed into water. Cloudfisher's ability to catch fog or dew and produce water varies depending on the situation with an average of around 2 liters – 10 liters/m2/day. The ability of this technology to produce water depends on the net material used, the size of the net, the direction and model of the net, and the location of the net placement. In this research, the potential cloudfisher to produce water in Fakfak Regency will be examined, with the ultimate aim of seeing how effectively this technology is applied in Fakfak Regency in terms of the amount of water produced. The method used in this research is a field study by reviewing locations in Fakfak Regency with the altitude, fog conditions, temperature and humidity that are most suitable for the application of cloudfisher technology. The fog catcher was installed using a standard research model using 65% and 85% cover nets. Each fog catcher material was installed for 1 month and the amount of water captured by the tool was checked every morning at 06.30 am. The location of the fog catcher is based on several factors including altitude, air humidity, fog frequency, temperature and wind speed. The average water volume obtained in the 65% cover net was 59.6 ml while in the 85% cover net it was 26.24 ml. Factors that influence the amount of water obtained are net material, net cover, fishing area, equipment placement, and weather. The fog catcher (cloudfisher) in Fakfak Regency has the potential to be used but still requires further research regarding the design and materials used so that more water can be obtained and can be used by local communities as an alternative source of clean water

This research is based on the low motivation to learn in the Natural and Social Sciences (IPAS) learning process. The purpose of this study is to increase students' motivation to learn by using kahoot media in Natural and Social Sciences subjects in class V CMadrasah Ibtidaiyah Nurul Yaqin Simpang Sungai Duren. This type of research is Classroom Action Research (PTK). Data collection techniques are carried out by means of interviews, tests, observations and documentation. The subject of this research is students of class V C. This research was carried out in semester 2 of the 2024/2025 school year. The results of this study show that using kahoot media can increase the learning motivation of students in Natural and Social Sciences class V C. Details of the results of students' observations using kahoot media have increased from cycle I with an average score of 63.35% can be categorized as poor and in cycle II it increased to 80.10% with a good category. It was concluded that using kahoot media can increase student motivation in the Natural and Social Sciences subject class V C Madrasah Ibtidaiyah Nurul Yaqin Simpang Sungai Duren..

PT Ansaf Inti Resources is a company engaged in coal mining using the open pit method. In the process of mining in open pit mines, haul roads are indispensable in the process of transporting overburden and play an important role in the mining production cycle. The purpose of the study is to determine the total resistance to overburden production of the LGMG CMT96 conveyance based on the haul road segment that has been determined from the overburden loading point to the disposal of the material, then a calculation is made based on the standard number of good total resistance to the actual haul road. After calculating all segments of the haul road, the results of plotting the total obstacle graph against the speed, travel time, and production of the haul. So every 1% increase in total resistance will reduce the speed of the conveyance 1.346 km / h, while every 1% increase in total resistance will reduce the travel time of the conveyance 0.0464 minutes. The production results of the CMT96 conveyance before the improvement of the total obstacle to the road surface amounted to 55 lcm and 49 lcm, while after the improvement of the total obstacle to the road surface there was an increase in the production of the conveyance of 68 lcm and 62 lcm. So every 1% increase in total resistance will reduce the production of conveyance by 4.7429 lcm.

The aim of this study is to design a battery charging system using solar panels, integrated with an IoT-based monitoring system to improve efficiency and ease of supervision. The system utilizes the photovoltaic effect to convert solar energy into electrical energy, which is then stored in a battery through the regulation of a solar charge controller. The main components in this design include a solar panel, lead-acid battery, ESP32 microcontroller, current and voltage sensors, and the Blynk application for remote monitoring. The research method involves several stages, including the design of hardware such as solar panels, current and voltage sensors, and a step-down regulator, as well as software development using the Blynk platform and ESP32 programming. Test results show that the system is capable of achieving charging efficiencies between 89.45% and 99.57%, with optimal performance under clear weather and maximum sunlight conditions. The IoT system performs well up to a distance of 10–15 meters, with an average data transmission delay of less than 1.5 seconds. Therefore, this device proves to be effective as an independent battery charging and energy monitoring solution in locations without permanent electricity access.

Oil and gas companies generally have large green areas as part of fulfilling environmental and aesthetic obligations in industrial areas. Routine maintenance such as grass cutting produces organic waste that needs to be managed efficiently to prevent negative environmental impacts. This study aims to calculate the generation of grass waste in oil and gas company areas by comparing two methods: direct weighing and sampling methods. The direct weighing method is carried out by collecting and weighing the results of the cutting in a limited area, while the sampling method involves taking samples from several representative points and extrapolating the results to the entire area. The results showed that the average grass waste generation was 0.286 kg/m². With an area of ??around 1,000 m², the total generation is estimated to reach 286 kg. Both methods have proven to complement each other: direct weighing provides precise data, while the sampling method allows for efficient estimation for larger areas. This data can be used as a basis for planning more adaptive, effective, and sustainable grass waste management, including the use of waste as organic compost that has economic value and is environmentally friendly.
 

With the times, cash transactions that used to use cash are now turning to credit cards. However, the increasing use of credit cards presents challenges, especially in maintaining customer loyalty. Customer churn is the loss of customers within a certain period for various reasons. Logistic Regression is a machine learning algorithm that studies the relationship between a dependent variable and several independent variables and Extreme Gradient Boosting (XGBoost) is a Gradient tree-boosting algorithm that offers out-of-core learning and sparsity awareness.The purpose of this study is to compare the performance between Logistic Regression and Extreme Gradient Boosting (XGBoost) algorithms in predicting customer churn in credit card services using evaluation metrics such as accuracy, precision, recall, and F1-score. Based on the research results, it can be concluded that XGBoost has better performance in all evaluation metrics, both in terms of precision, recall, F1-score, and accuracy. Based on the research, XGBoost shows superior performance compared to Logistic Regression in all evaluation metrics.

The development of early childhood social-emotional intelligence is an important aspect in the formation of character and social adaptability of children. This community service activity aims to enhance the understanding and competence of teachers and prospective PAUD educators through a national seminar that focuses on their strategic role in supporting children's social-emotional development. The implementation method is an interactive seminar involving expert speakers, group discussions, and practical case studies. The results of the activity showed a significant increase in participants' knowledge of the concept of social emotional intelligence, effective learning techniques, and strategies for managing children's emotions and positive social interactions. In addition, this seminar succeeded in encouraging teachers and prospective educators to apply a more empathetic and responsive learning approach to the emotional needs of early childhood. This activity makes a significant contribution to strengthening the role of educators as primary facilitators in the development of children's social-emotional intelligence, which ultimately supports the creation of a conducive and inclusive learning environment.

Penelitian ini bertujuan untuk merancang dan membangun sistem informasi inventaris berbasis web di Laboratorium Komputer Universitas Dharmas Indonesia (Undhari). Sistem ini dibuat untuk mempermudah proses pencatatan, pemantauan, dan pelaporan data barang di laboratorium. Sebelumnya, pengelolaan data dilakukan secara manual, yang seringkali menimbulkan kesalahan dan memperlambat proses pencarian data. Dengan adanya sistem berbasis web, pengguna dapat mengelola data inventaris seperti stok barang, barang rusak, peminjaman, dan laporan dengan lebih efisien. Penelitian ini menggunakan metode Waterfall, yang terdiri dari tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Sistem dikembangkan menggunakan bahasa pemrograman PHP dengan framework CodeIgniter serta basis data MySQL. Hasil dari penelitian ini adalah aplikasi yang dapat diakses secara lokal oleh admin dan kepala laboratorium. Sistem telah diuji menggunakan metode blackbox dan terbukti berjalan sesuai fungsinya. Dengan adanya sistem ini, pengelolaan barang di laboratorium menjadi lebih rapi, terstruktur, dan memudahkan proses pelaporan. Selain itu, sistem ini juga membantu mengurangi penggunaan kertas dan meminimalkan kesalahan dalam pencatatan data inventaris.

Di era digital saat ini, optimalisasi penggunaan teknologi pendidikan menjadi hal yang krusial untuk meningkatkan proses pembelajaran dan evaluasi hasil belajar. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kompetensi guru di SMP Negeri 11 Gorontalo melalui pelatihan teknis (BIMTEK) mengenai pemanfaatan media digital, Nearpod, Panquiz, dan Socrative, sebagai alat evaluasi pembelajaran. Ketiga media ini menyediakan fitur interaktif yang mendukung asesmen formatif, meningkatkan partisipasi siswa, dan mempermudah proses penilaian. Metode yang digunakan mencakup tiga tahapan utama: perencanaan, pelaksanaan, dan evaluasi. Selama kegiatan, guru mendapatkan pelatihan langsung, mempraktikkan penggunaan media, serta mengeksplorasi cara mengintegrasikannya dalam pembelajaran. Hasilnya menunjukkan antusiasme tinggi dari para guru yang menyadari bahwa media digital sangat membantu efisiensi evaluasi dan mengurangi beban koreksi manual. Meski terdapat beberapa kendala seperti koneksi internet dan kendala teknis lainnya, pelatihan ini berdampak positif dan berhasil memperkenalkan pendekatan evaluasi yang lebih adaptif dan berpusat pada siswa sesuai dengan tuntutan pembelajaran abad ke-21. Pelatihan ini diharapkan dapat mendorong penerapan evaluasi pembelajaran yang lebih modern dan berbasis teknologi secara berkelanjutan di sekolah.

This community service program aims to improve teachers' digital literacy and pedagogical competence using interactive digital media, namely Blooket, Nearpod, and Educaplay at SMP Negeri 2 Kabila. The main problem identified was teachers' low understanding of how to optimally integrate digital platforms into the learning process. To address this challenge, intensive training was conducted in three stages: planning, implementation, and evaluation. The training focused on feature introduction, hands-on practice, and the application of digital media in learning designs. The quantitative evaluation results showed an average increase in teacher competence of 65% after participating in the training, with the Nearpod platform achieving the highest understanding score of 69%, followed by Blooket and Educaplay each at 60%. The qualitative evaluation also showed an increase in teacher enthusiasm, active participation, and confidence in using digital technology. In conclusion, structured and applicable training has proven effective in encouraging learning transformation in the digital era, while increasing teacher readiness to integrate technology sustainably in the classroom.