Writing fiction stories is one of the important language skills in learning Indonesian. However, students' interest in writing fiction stories is still low, especially in Class V of SD S Alwashliyah 31 Medan Labuhan. One of the main causes is the lack of learning methods that attract and motivate students. Therefore, this research aims to increase interest and skills in writing fiction stories using image media. The research method used is descriptive analytical, namely a study that aims to collect data, describe, process, analyze, conclude and interpret data in order to obtain a systematic picture. The subjects of this research were 30 class V-A students in semester 1 of the 2024-2025 academic year. The data collection instruments used include competency tests and observation sheets. Competency tests are used to measure student learning outcomes after learning takes place using image media, while observation sheets are used to assess the implementation of class actions, class conditions, and student activity in the learning process. The research results show that image media can increase creativity, motivation, and help students compose more structured stories. This research is expected to provide insight for teachers in implementing more effective learning methods to improve students' writing skills.

The aim of this research is to find out how to improve population administration services in Buleleng Regency through the use of the Aku Online-NG website which will be implemented in 2022, where in its implementation there are still several obstacles. Using qualitative descriptive research. Data sources are primary data and secondary data. The data collection techniques used were interviews, documentation and observation. Data analysis techniques are data reduction, data presentation and drawing conclusions. The problem in this research is in the form of public complaints about the variety of features and performance of the Aku Online-NG website. The theory used is e-government with a service quality measurement method called egovqual. Guided by the Presidential Regulation of the Republic of Indonesia Number 95 of 2018 concerning Electronic-Based Government Systems. Based on the research results, it can be concluded that in the ease of use dimension, the department has provided very good convenience and the community has also made things easier with this innovation. The reliability dimension shows good results which can be seen from the opinions of the public who feel this website is very reliable. The trust dimension has been implemented well, where the security of public data is guaranteed with the JSON Web Token (JWT) security system. The content & appearance of information dimensions have not been running optimally due to the lack of service features related to the movement of families from outside the district to within the district. In the dimension of functionality of the interaction environment, it is not yet fully maximized because some people still feel that filling out forms is rather difficult through online-based services. Then the last dimension, namely citizen support, has gone quite well, but there are still shortcomings, namely the lack of outreach carried out by the department to the community. It is hoped that the results of this research can be utilized as needed by relevant agencies and for further research.

Purpose: Mango production can be severely impacted by diseases affecting mango plants. By leveraging artificial intelligence, the agricultural sector can automate the analysis of mango leaves to monitor plant health. The goal of this research is to improve the early detection of diseases in mango leaves to allow early treatment to minimize damage to the crops.
Methods: This study employs an approach of combining two pre-trained CNN architectures, namely MobileNetV2 and DenseNet201 through concatenation method. To enhance the model’s generalization ability, various image augmentation techniques were applied during the training phase.
Result: The model developed in this study achieved great performance in classifying mango leaf diseases with a testing accuracy of 99.25%. This result indicates the effectiveness of the concatenation method by outperforming the accuracy of either MobileNetV2 or DenseNet201 when implemented separately.
Novelty: This research introduces a novel strategy by concatenating two pre-trained CNN architectures for mango leaf disease classification, a method not previously explored in this context. The model developed from this study has the potential to serve as a tool for the early detection and treatment of mango leaf diseases.

Human resource performance is one of the main factors for the Company. With the existence of factors that influence the performance of human resources, it is hoped that there will be improvements in the performance of human resources in a company so that better conditions and environments can be created. In connection with this, it becomes interesting to carry out community service activities with the aim of providing students with insight into the world of work. Implementation is carried out by means of lectures and discussions with students. The results of this service activity: participants appeared to be highly enthusiastic, because they felt they had benefited from the resource person's presentation by asking questions and discussing.

Push Up is a physical activity carried out by individuals that aims to strengthen the muscles of the body, namely the muscles of the arms, shoulders and chest. Designing an IOT-based detection and monitoring system with the aim of making it easier for tool users to know the number of repetitions and the number of calories used automatically. Detectoring with the help of four proximity sensors to detect motion when doing push-ups and monitoring using an android application made specifically for the device. The component used is NodeMCU ESP8266 as a microcontroller. The parameters displayed in the application include a column of push-up repetitions, a column for the number of calories used, and a graph of increasing push-up repetitions. The tool testing method was carried out 15 times for data collection with 20 push-up repetitions for each data collection. The results of the test, obtained an error percentage of 1.33%. So that this tool can help users to monitor the repetitions that have been done and find out the amount of calories used.

This article aims to examine the life lessons of The Doctor Valentino Rossi, in order to create a spirit of life-giving impressions of Islamic education, by analyzing them to provide a better understanding of the theme and to suggest emerging directions for future research. The writing is character research, with a descriptive qualitative setting. The results of the research show that Valentino Rossi's life journey in achieving various achievements cannot be separated from a strong life mindset by compromising between the realities of life and spiritual practice. This fact in the domain of Islamic education is a form of integrating knowledge organically, comprehensively and holistically. This can be used as an impression for Islamic education. Research implications: the need for improvised research to narrow the dichotomy of science and life reality. The study suggests multidisciplinary research as a starting point for the development of Islamic education.

Bangli Regency created an e-government  based public complaints program called Bangli Era Baru 24 Hour Fast Service. Implementation of this program builds synergy among all public service delivery organizations, one of which is Perumda Air Minum Tirta Danu Arta. However, in implementing this synergy there are still various problems. This research aims to determine the extent of the synergy in handling complaints about clean water services in Bangli Regency from an electronic government perspective and analyze the influencing factors. This research applies descriptive qualitative research methods with data collection techniques through observation, interviews and documentation. The results show that the synergy between Diskominfosan and Perumda Air Minum Tirta Danu Arta in handling clean water service complaints has gone well. The support and value elements have been fulfilled because there is clear regulatory support, stakeholder commitment, and benefits felt by the community and stakeholders. However, there are elements of capacity that have not been met because there are challenges such as limited human resources and a minimal budget for managing complaint channels. The recommendations include increasing human resource capacity, better budget allocation, and optimizing outreach to increase community participation.
Kabupaten Bangli menciptakan sebuah program pengaduan masyarakat berbasis e-government  yang bernama Layanan Cepat 24 Jam Bangli Era Baru. Implementasi program tersebut membangun sinergi seluruh organisasi penyelenggara layanan publik, salah satunya adalah Perumda Air Minum Tirta Danu Arta. Namun dalam pelaksanaan sinergi ini masih memiliki berbagai permasalahan. Penelitian ini memiliki tujuan untuk  mengetahui sejauh mana sinergi  penanganan pengaduan pelayanan air bersih di Kabupaten Bangli dari sudut pandang electronic government dan menganalisis faktor–faktor apa yang mempengaruhi. Penelitian ini menerapkan metode penelitian deskriptif kualitatif dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi. Hasil menunjukkan bahwa sinergi antara Diskominfosan dan Perumda Air Minum Tirta Danu Arta dalam menangani pengaduan  pelayanan air bersih telah berjalan baik. Elemen dukungan (support) dan manfaat (value) sudah terpenuhi karena terdapat dukungan regulasi yang jelas, komitmen pemangku kepentingan, dan manfaat yang dirasakan oleh masyarakat maupun para pemangku kepentingan. Namun, terdapat elemen kemampuan (capacity) belum terpenuhi karena terdapat tantangan seperti terbatasnya sumber daya manusia dan minimnya anggaran untuk pengelolaan kanal pengaduan. Pemberian rekomendasi mencakup peningkatan kapasitas sumber daya manusia, alokasi anggaran yang lebih baik, dan optimalisasi sosialisasi untuk meningkatkan partisipasi masyarakat.

The development of computer technology helps many aspects of life. One aspect of life that takes advantage of technological developments is the health sector, in order to solve problems including brain tumors. Brain Tumor Disease is the growth of abnormal cells in or around the brain in an unnatural and uncontrolled manner. Patients with brain tumors continue to increase every year, because the initial symptoms are often underestimated. Therefore created a software that can help diagnose brain tumors using the certainty factor method

This research aims to increase knowledge and skills in the futsal sports training program at SMA Negeri 3 Sentani. The PkM activity involved 20 participants with a focus on increasing understanding and skills in the quality of futsal game techniques and tactics. The methods used include explaining theoretical understanding, applying theory, as well as direct practice sessions to improve participants' understanding and skills. The results of the activity showed that 3 people or 15% of participants had a good understanding of the pretest, while 17 people or 85% of participants had limited understanding. After participating in the program, the posttest results showed a significant improvement where 18 people or 90% gained good understanding, while only 2 people or 10% still needed additional understanding. The implication of this activity is that it is hoped that teachers who take part in the training will gain increased competence in designing and implementing futsal training programs, so that they can develop students more effectively, improve school achievement, and enrich PJOK learning methods

Hypertension in pregnancy is one of the leading causes of maternal mortality, with a global prevalence of 5–10% (Khedagi & Bello, 2021). This study aims to analyze the effect of reproductive status—maternal age, gravidity, and parity—on the incidence of hypertension in pregnancy at Prof. Dr. Chairuddin P. Lubis Educational Hospital, Medan. A case-control design was employed with 96 respondents, consisting of 48 cases and 48 controls. Bivariate analysis revealed that pregnant women aged ?35 years have a 2.839-fold higher risk of developing hypertension compared to those aged <35 years (OR=2.839; 95% CI: 1.123–7.177; p=0.027). First pregnancy (primigravida) increases the risk by 2.742 times compared to multigravida (OR=2.742; 95% CI: 1.047–7.178; p=0.040), while nulliparous women have a 2.714-fold higher risk compared to those who have given birth (OR=2.714; 95% CI: 1.101–6.693; p=0.030). Multivariate analysis identified maternal age ?35 years and nulliparity as the most significant predictors (p=0.005). These findings align with studies by Wiranto & Putriningtyas (2021), Hinkosa et al. (2020), and Luo et al. (2020), which confirmed that advanced maternal age and nulliparity increase the risk of pregnancy complications. The novelty of this research lies in integrating all three reproductive status factors as simultaneous predictors of hypertension risk, providing a new perspective compared to previous studies focused on single variables. Based on these findings, early detection and targeted health education for high-risk mothers are strongly recommended.