<p><em>Stunting is malnutrition that occurs gradually and is prolonged. In general, according to Riskesdas (2018), the prevalence of stunting in Indonesia is 30.8%, and in Demak 26.1%. Meanwhile in Rejosari Village. Based on data from local midwives, there are 15 stunted children in Karangawen, Demak. The purpose of dedication is as a preventive measure so that the incidence of stunting under five in Rejosari Village, Demak Regency does not increase. The implementation began with a health stand, and interactive discussions, and ended with a cooking demonstration for pregnant women. The activity began with an anthropometry stand, continued with education on the importance of the role of 1000 HPK, questions, and answers, and ended with a demonstration on making Moringa Chicken Tofu Balls. The results of the "Si Penting" program show that there are still pregnant women who have the potential to give birth to LBW children, as evidenced by a BMI before pregnancy of less than 18 kg/m2 and a LILA of less than 23.5 cm. Apart from that, food education and innovation activities ran smoothly, participants asked many questions and had lively discussions.</em></p>

Talking about victims of crime in general, of course, victims are individuals. In a criminal act, the victim is the party who is harmed by the perpetrator of the crime, both materially and immaterially. This greatly affects the psychological condition of the victim, not to mention the complicated judicial process that makes the victim a very disadvantaged party to the laws and regulations under it.  The position of victims in the practice of criminal procedure law is relatively less considered because the provisions of Indonesian law still rely on protection for the perpetrator (offender oriented). Normative legal research is in the form of library research and written documents as data sourced from secondary data including primary legal materials, secondary legal materials and tertiary legal materials. The nature of this research is descriptive analysis.  The data obtained in this research will be analyzed qualitatively in accordance with the specifications of the nature of the research to examine between theory and practice in legal protection of victims of criminal acts. To solve the existing problems and then draw a conclusion by utilizing the data collected through interviews and document studies, the results of this study were first analyzed using qualitative analysis. The Criminal Code (KUHP) has implicitly provided protection for victims of crime with all efforts to fulfill rights and provide assistance to provide security to victims who must be implemented by the Witness and Victim Protection Agency (LPSK) or other institutions in accordance with the provisions. As it is known that the KUHAP is not too optimal because there are more victims like the position of the perpetrator which results in a legal vacuum, and in the context of protecting victims of crime, there are preventive and repressive efforts made, both by the community and the government (through law enforcement officials). Another thing that is noted that in the Law on Witness and Victim Protection is the absence of coercive efforts regarding compensation from the perpetrator to the victim, namely not regulating the payment of compensation from the perpetrator to the witness or victim, even though the victim as a witness who is harmed by someone's unlawful actions, but is not protected.

This research aims to determine the influence of leadership and compensation on employee work discipline at PT. Pegadaian (Persero) CP Malimongan Baru in Makassar. This research approach uses a quantitative approach. The sample used was the census method, totaling 62 respondents. And then the data analysis model used is multiple linear regression analysis which was processed using the SPSS Version 23 program. Based on the results of research that has been conducted, it shows that the influence of leadership and compensation has a positive and significant effect on employee work discipline at PT. Pegadaian (Persero) CP Malimongan Baru in Makassar.
 

This research delves into strategies aimed at enhancing occupational safety and health practices within pilotage operations at Semayang Port, operated by PT. Pelindo Balikpapan. Given the inherently high-risk nature of port activities, particularly pilotage, ensuring the safety and well-being of workers is paramount. This research is motivated by the imperative to curtail workplace incidents and bolster operational efficiency through the implementation of robust strategies. A SWOT analysis was employed to comprehensively assess the strengths, weaknesses, opportunities, and threats inherent in the port's existing occupational safety and health system. The findings of this analysis revealed that a 'Turn Around' strategy, situated in Quadrant II of the SWOT matrix, presents the most viable course of action. This strategy effectively leverages external opportunities to mitigate internal weaknesses, thereby optimizing the overall safety and health posture. By adopting the 'Turn Around' strategy, PT. Pelindo Balikpapan is poised to elevate the standards of occupational safety and health within its pilotage operations at Semayang Port. Consequently, this is expected to lead to a reduction in accidents and a commensurate improvement in overall operational performance.

Canva and PIXLR are applications that can be operated through computers and smartphones. Many people have not been able to maximize the potential of this application to become a support in creating content in entrepreneurship. MSME players in the Ngaliyan Kendal urban village area, on average, have not used a combination of Canva and PIXLR applications in creating content to promote their products on social media and marketplaces. The Canva application in maximum use must be paid (pro) so that by combining the combination with the PIXLR application can get maximum results without having to pay (pro). This community service activity aims to provide knowledge to MSME players in the Ngaliyan village area on how to maximize the Canva application with PIXLR to produce good content without having to pay (pro). This community service activity is expected to be able to improve the skills of MSME players so that they can create the right content so that they can minimize costs and improve the performance of both themselves and their businesses. The results of this activity are that MSME players install and operate the Canva and PIXLR applications for every content creation. MSME players feel very helped because without having to subscribe to pay (pro) it turns out that they can get results almost equivalent to subscribing (pro).

Sekolah merupakan sebuah institusi yang bertanggungjawab untuk menyelenggarakan pendidikan dan salah satu hal yang menunjang dalam menyelenggarakan pendidikan adalah adanya media pembelajaran yang baik dan bervariatif. Salah satu sekolah yang ada di kabupaten Temanggung yaitu SMPN 2 Kledung. SMPN 2 Kledung menjadi salah satu lembaga pendidikan yang mengalami cukup kesulitan dalam mengembangkan media pembelajaran yang berkualitas khususnya video pembelajaran. Kegiatan pembelajaran SMPN 2 Kledung masih dilaksanakan secara konvensional. Kendala ketersediaan peralatan dan media pembelajaran yang berbasis TIK menjadi tantangan utama. Video pembelajaran yang digunakan di SMPN 2 Kledung didapatkan para guru dari youtube dan media sosial. Kendala yang dihadapi oleh para guru adalah karena video yang diambil dan bukan membuat sendiri, maka materi yang diberikan tidak semuanya sesuai dengan yang diinginkan oleh pengajar. Selain itu, kebanyakan materi tersedia dalam bahasa inggris yang akan sulit dipahami oleh peserta didik. Padahal video pembelajaran yang ada sangat menarik karena mengabungkan antara tampilan pembicara dan juga materi yang disampaikan. Target luaran kegiatan ini adalah Meningkatnya pemahaman peserta tentang membuat konsep video pembelajaran yang diterapkan dalam pembuatan naskah. Meningkatnya ketrampilan peserta tentang cara mengambil video pembelajaran yang baik dan menarik. Meningkatnya ketrampilan peserta tentang editing video, serta distribusi video yang sesuai untuk peserta didik. Rencana kegiatan yang akan dilakukan dengan cara memberikan materi dan praktik tentang membuat konsep video dan pembuatan naskah, memberikan materi dan praktik tentang teknik mengambil video, dan memberikan materi dan praktik tentang editing video dan menyiapkan video yang siap didistribusikan.

This research aims to determine the concept of developing affective assessment instruments in Islamic Religious Education subjects at SD Islam Nusantara, Pekalongan City. Using qualitative research with a literature study approach. Data collection uses documentation techniques, namely by analyzing information regarding the concept of developing affective assessment instruments in Islamic Religious Education subjects. Then the information is analyzed with data obtained from relevant literature sources such as books and journals. The data analysis technique goes through several stages, namely preliminary analysis, data reduction, presenting data and drawing conclusions. The results of this research show that developing an affective assessment instrument in Islamic Religious Education subjects goes through the following steps: determining instrument specifications, writing the instrument, determining the instrument scale, determining the scoring system, reviewing the instrument, assembling the instrument, conducting trials, analyzing the instrument, carrying out measurements, interpret measurement results.
 
 

The purpose of the research is to find out the causes of differences in interpretation between the Gorontalo Regency KPU and Bawaslu Gorontalo Regency regarding administrative violations of the 2020 elections in Gorontalo Regency and how the process of resolving administrative violations of the 2020 elections in Gorontalo Regency by the Gorontalo Regency KPU and Bawaslu Gorontalo Regency. This research uses two legal research methods, namely: Normative and empirical legal research to find answers to the differences in interpretation between the KPU and Bawaslu Gorontalo Regency regarding administrative violations of the 2020 Pilkada in Gorontalo Regency. The difference in interpretation between the Regency KPU and Bawaslu Gorontalo Regency regarding administrative violations is caused by overlapping statutory provisions. Where in Law Number 10 Year 201 concerning Pilkada, the two institutions are given the authority to examine and decide administrative violations, then the two institutions in deciding administrative violations have their own guidelines where Bawaslu is guided by Perbawaslu while the KPU itself is guided by KPU Regulations. This certainly does not provide legal certainty for justice seekers in election administration violations and the process of resolving administrative violations in the 2020 Pilkada in Gorontalo Regency, namely through DKPP and Constitutional Court decisions. We do not have to face different decisions between the two institutions because DKPP is an ethical judicial institution while the Constitutional Court is a legal judicial institution. Although there has been a decision from the Constitutional Court, it does not change the DKPP's decision because until now there has been no ethics court to appeal the DKPP's decision.

This research aims to develop a robust diabetes classification method by integrating the Synthetic Minority Over-sampling Technique (SMOTE)-Tomek technique for data balancing and using a machine learning ensemble led by eXtreme Gradient Boosting (XGB) as a meta-learner. We propose an ensemble model that combines deep learning techniques such as Bidirectional Long Short-Term Memory (BiLSTM) and Bidirectional Gated Recurrent Units (BiGRU) with XGB classifier as the base learner. The data used included the Pima Indians Diabetes and Iraqi Society Diabetes datasets, which were processed by missing value handling, duplication, normalization, and the application of SMOTE-Tomek to resolve data imbalances. XGB, as a meta-learner, successfully improves the model's predictive ability by reducing bias and variance, resulting in more accurate and robust classification. The proposed ensemble model achieves perfect accuracy, precision, recall, specificity, and F1 score of 100% on all tested datasets. This method shows that combining ensemble learning techniques with a rigorous preprocessing approach can significantly improve diabetes classification performance.

This research aims to evaluate and compare the performance of several deep learning architectures, especially InceptionV3 and InceptionResNetV2, with other models, such as EfficientNetB3, ResNet50, and VGG19, in classifying rice leaf diseases. In addition, this research also evaluates the impact of using data augmentation on model performance. Three different datasets were used in this experiment, varying the number of images and class distribution. The results show that InceptionV3 and InceptionResNetV2 consistently perform excellently and accurately on most datasets. Data augmentation has varying effects, providing slight advantages on datasets with lower variation. The findings from this research are that the InceptionV3 model is the best model for classifying rice diseases based on leaf images. The InceptionV3 model produces accuracies of 99.53, 58.94, and 90.00 for datasets 1, 2, and 3, respectively. It is also necessary to be wise in carrying out data augmentation by considering the dataset's characteristics to ensure the resulting model can generalize well.