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This experiment aimed to analyze the impact of different fiber sizes on cutting forces during the drilling of Natural Fiber-Reinforced Polymer Composites (NFRPC) while also evaluating surface quality attributes, including delamination, fiber pullout, and overhanging fibers, influenced by variations in coconut fiber dimensions within the NFRPC material. The manufacturing process for composite panels utilized various methods, including hand layup for 200 mm long coconut fibers and composite casting for shorter fibers (2, 4, and 6 mm) mixed with polymer-epoxy. The results indicate that panels made from NFRPC with continuous fiber lengths of 200 mm exhibit higher cutting force values (253,650 N) compared to epoxy panels without fibers (235,288 N), suggesting that a significant force is required to sever the continuous fibers within the NFRPC. Conversely, the incorporation of short coconut fibers measuring 2, 4, and 6 mm reduces the cutting forces on the composite panels. However, excessive surface roughness in the final hole quality can be detrimental, primarily due to issues of delamination and fiber pull-out.

This research aims to describe the acculturation of Islam and local culture in the tradition of animal slaughter at funeral ceremonies preserved by the Padang Bolak community, as part of the religious system reflecting the community's understanding of the Hadith. This study is a field study employing a qualitative method within the framework of living Hadith theory. The research findings indicate that this tradition of animal slaughter at funeral ceremonies in the community is motivated by several factors, including efforts to preserve customs and culture, as an act of devotion to parents, the deceased's will to conduct an animal slaughter before passing away, to honor guests, maintain the good name of the deceased parents within the community, as an expression of love for parents, and the belief that the merits of charity performed on that day will benefit the deceased. In Islamic legal studies, this tradition is fundamentally contradictory to Islamic teachings in all its processes and requirements. The acculturation of Islam with this tradition has led to modifications that eliminate elements conflicting with Islamic teachings. Further studies are needed on how such modifications can aid in understanding and potentially guiding the process of cultural adaptation in other Islamic communities. Penelitian ini bertujuan untuk menggambarkan akulturasi Islam dan budaya lokal dalam tradisi penyembelihan hewan pada upacara pemakaman yang dipertahankan oleh komunitas Padang Bolak, sebagai bagian dari sistem religius yang mencerminkan pemahaman masyarakat tentang Hadits. Studi ini adalah studi lapangan yang menggunakan metode kualitatif dalam kerangka teori Hadits hidup. Temuan penelitian menunjukkan bahwa tradisi penyembelihan hewan pada upacara pemakaman di komunitas tersebut didorong oleh beberapa faktor, termasuk upaya untuk melestarikan adat dan budaya, sebagai tindakan pengabdian kepada orang tua, keinginan almarhum untuk melakukan penyembelihan hewan sebelum meninggal, untuk menghormati tamu, mempertahankan nama baik orang tua yang telah meninggal di dalam komunitas, sebagai ungkapan cinta kepada orang tua, dan keyakinan bahwa pahala amal yang dilakukan pada hari itu akan menguntungkan almarhum. Dalam studi hukum Islam, tradisi ini secara mendasar bertentangan dengan ajaran Islam dalam semua proses dan persyaratannya. Akulturasi Islam dengan tradisi ini telah mengarah pada modifikasi yang menghilangkan elemen-elemen yang bertentangan dengan ajaran Islam. Studi lebih lanjut diperlukan tentang bagaimana modifikasi tersebut dapat membantu dalam memahami dan berpotensi mengarahkan proses adaptasi budaya di komunitas Islam lainnya.

Deep learning techniques through semantic segmentation networks have been widely used for natural disaster analysis and response. The underlying base of these implementations relies on convolutional neural networks (CNNs) that can accurately and precisely identify and locate the respective areas of interest within satellite imagery or other forms of remote sensing data, thereby assisting in disaster evaluation, rescue planning, and restoration endeavours. Most CNN-based deep-learning models encounter challenges related to the loss of spatial information and insufficient feature representation. This issue can be attributed to their suboptimal design of the layers that capture multiscale-context information and their failure to include optimal semantic information during the pooling procedures. In the early layers of CNNs, the network encodes elementary semantic representations, such as edges and corners, whereas, as the network progresses toward the later layers, it encodes more intricate semantic characteristics, such as complicated geometric shapes. In theory, it is advantageous for a segmentation network to extract features from several levels of semantic representation. This is because segmentation networks generally yield improved results when both simple and intricate feature maps are employed together. This study comprehensively reviews current developments in deep learning methodologies employed to segment remote sensing images associated with natural disasters. Several popular deep learning models, such as SegNet U-Net, FCNs, FCDenseNet, PSPNet, HRNet, and DeepLab, have exhibited notable achievements in various applications, including forest fire delineation, flood mapping, and earthquake damage assessment. These models demonstrate a high level of efficacy in distinguishing between different land cover types, detecting infrastructure that has been compromised or damaged, and identifying regions that are fire-susceptible to further dangers.

Shipbuilding is one of the marine industries which in development needs to pay attention to various parameters from the sea and land. This research was conducted in March to May 2022 with the aim of identifying the influence of oceanographic factors and water quality on the development of the shipbuilding industry at the fishing port of Sabang City. The oceanographic data used includes tides, wind, bathymetry, and sediment composition observed at 12 station points. The depth and tide data are then processed using QGIS. Wind data was analyzed using the Wind Rose Plot and sediment using the Wentworth scale. Oceanographic factors in Sabang Bay have shown very satisfactory results for the development of fish landing bases. The wind in the waters of Sabang Bay blows northwest with high speeds ranging from ≥10.00 m/s. The depth of the waters indicates a potential location for ship mooring. Sandy sediment is the most common type of sediment found. The tides that occur in the bay of Sabang are relatively stable. Oceanographic factors in Sabang Bay have shown very satisfactory results for the development of fish landing bases. Keywords: Oceanography Shipyard Sabang Bay

The shipyard location and model highly influence shipyard industry development. This study aims to assess the location feasibility and determine the shipyard model suitable for shipyard industry development in Kutaraja Fishing Port. The study was conducted in Kutaraja Fishing Port. AHP method was used to determine the location and model, then analyzed using the Expert Choice v11 software. The data were collected using questionnaire interviews and further allocated the value using paired comparison scale table. The result shows that the shipyard industry is feasible to be developed in an area where land parameters adjacent to the waters have a maximum value of 37.3% compared with the five other parameters. The suitable shipyard model to be developed in Kutaraja Fishing Port is the slipway type with a value of 46.1%. Keywords: Location Model Shipyard

The New Normal according to Islam, returns to the life order of habluminallah, habluminannas and habluminala’lam. However, the most important thing is how the relationship between the new normal relates to humans and nature at the same time. This has been explained by the Prophet Muhammad in the hadith as applied at the time. The purpose of this study is to analyze and find the Sunnah backthat the Prophet Muhammad has applied to this fellow beings in this family, environment, friends and followers. The reseach method library research by analyzing the hadiths regarding the life of the Prophet during the pandemic.The results showed that he always applied attitudes; tawakkal to Allah SWT, be patient attitudes in dealing with disease outbreaks, Instilling an optimistic attitude and haqqulyaqin on all the provisions of Allah, endeavors in facing any situation. So thus our role in dealing with disease outbreaks during the New Normal period is to continue to refer to the hadiths that the Prophet conveyed during his lifetime to this friends

The preferable properties of indoor heat blockage material for tropical environments are blocking outside heat without absorbing and storing it inside the blockage material, therefore studying the component and the composite properties are crucial. This study, therefore, aims to prepare and characterize a new hybrid foam concrete based on Rice Husk Ash (RHA) composite panels as an indoor building material called Hybrid Foam Panel (HFP). Polyurethane made of the combination of blended polyol (catalyst and surfactant) and diphenylmethane-4,4′-diisocyanate with a constant proportion was used as a matrix, while white Portland cement and RHA with various compositions were used as fillers. The formation of polyurethane foam and related chemical reactions are confirmed and RHA in HFP composition gave significant roles in composite properties. HFP made with the right constituent composition caused much lower thermal conductivity (down to 0.22 W/mK) than the control, blocked the IR radiation heat, and it has moderate compressive strength. HFP with RHA content in consolidated parameters shows a compressive strength of 7.25–12.37 MPa; densities of 1216–1351 kg/m3 and a porosity of 62%. HFP also stands for heat at least 300 °C, thereby it is a potential interior solar heat blockade, especially in the tropical region.

Polypropylene 3D hernia mesh for abdominal hernia repair may trigger foreign body reactions. In this research, we evaluated 3D hernia mesh developed for animal hernia through clinical and hematological, blood biochemistry, imaging through ultrasound, X-ray, and tissue histopathology in rabbits. This research enrolled 10 male New Zealand white rabbits aged 6-9 months weighing 1-2 kg divided into 2 groups, which were sham (without implant) and implant group (with 3D hernia mesh). The 1st surgical created hernia defect by incision on the abdominal muscle 4 cm long which was left for 2nd weeks. The 2nd surgical closed the hernia defect by auto-tissue (sham) and by 3D hernia mesh from polypropylene. Evaluation on hematology, blood biochemistry, and imaging through ultrasound and X-ray of the 3D hernia mesh were performed on day 6th, 12th and 24th after implant. Macroscopic and microscopic evaluation on the tissue around 3D mesh were performed on day 24th, 48th, and 96th after implant. Examination of hematology and blood chemistry profile showed that 3D mesh trigger minimum response from the body. The result of tissue imaging around 3D mesh showed radiopaque density with hernia defect completely closed without severe exudative inflammation and hyperechoic echogenicity. The microscopic examination of peritoneum muscle layer around the 3D mesh did not show severe pathological reaction. Histopathological examination on day 96th after implant still found inflammatory cell around the surgical stitches. The use of 3D hernia mesh is safe and viable to close abdominal hernia based on comparative study in rabbit.

This research aimed to investigate the effect of using Mind mapping towards Students’ learning activities on Economic at State Senior High School 1 Kampar. Grade X1, which consisted of 34 students, was selected as sample and was assigned as the experimental group that received treatment while X2, which consisted of 33 students, was assigned as control group. The data of this experimental research were collected through observation and documentation. Further, those data were analysed whit T-test. Based on the results, there was a significant effect of using Mind mapping strategy towards students’ learning activities on economic with higher percentage than control group.

The People of Peukan Bada generally work as fishermen. The ships used by the Peukan Bada people are generally wooden material. The capture fisheries sector in the Peukan Bada area is currently still small in scale. This can be seen from the type of fishing gear used by ships operating in the waters of Peukan Bada. The problem is that the shipbuilding industry in Peukan Bada is currently not developing following the challenges faced. So it is necessary to develop a fishing boat yard in the area. The purpose of this research is to find out what meters need to be considered in the development process. The method of collecting data used in this study is the survey method. The survey that will be carried out is by directly observing the conditions and assessing factors related to fishing vessels, the data needed to support this research method is primary data. The primary data were obtained from direct observations of various activities carried out in the shipyard and the results of interviews obtained with workers in the shipyard. The data analysis used is Fishing Bone Analysis the result of this research is that this shipbuilding industry has developments that are still far from capacity, potential, needs, and the need for the development of land parameters, human resources, machinery, materials, methods or ways of working, shipping flows and production capacity.

Shipyards are not only an essential part of the shipping industry but also function as a crucial element for carrying out various tasks in the process of building and repairing ships. The shipyard's involvement in this process makes it the most important element supporting the progress of the maritime industry as a whole. Therefore, this research was designed with the main aim of investigating and analyzing the relationship between the number of ships or fleets and production growth in the fisheries sector. The data used in this research consists of statistical data on capture fisheries covering the period from 2020 to 2022. This data was then analyzed using a simple linear regression analysis method to identify and understand the dynamics of the relationship between the number of vessels and the growth of fisheries production. Through the use of this approach, the research aims to explore the extent of the influence of the number of vessels on the growth of fisheries production in the context of the years studied. However, the results of the analysis show that there is no significant influence between the number of vessels and the growth of fisheries production. Nevertheless, these findings provide an important contribution to a further understanding of factors that may influence fisheries production dynamics. The implications of this research can provide valuable insights for shipping and fishing industry stakeholders in their efforts to optimize their strategies and policies to support sustainable growth in this sector.

This research is a Recearch and Development (R&D) by using ASSURE model. The purpose of this research is 1) produce interactive multimedia, which are appropriate with the students’ need 2) to enhance students’ vocabulary of Arabic language. The data were collected by observation, interview, questionnaire, and document. The result of this research is 1) test of media expert showed the product is considered very good, the result is 4.60, 2) expert of the material showed that multimedia interactive is considered good, with result 3,97 3) the test of one to one showed the average score of 4,26 means the product is considered very good, the test of small group evaluation showed the avarage score of 4,38 is considered very good, and the test of field evaluation showed the average score of 4,42 means the product is very good, the conclusion is product can be appliying in learning.

Cavities are among the most common dental health problems and significantly impact the quality of life, particularly in developing countries. Early detection of dental caries is a crucial step in preventing further complications; however, conventional methods such as clinical examinations and radiography are often inaccessible due to infrastructure and cost limitations. This study aims to develop an artificial intelligence (AI) model based on MobileNetV3 Small for detecting dental caries using images captured with a basic smartphone camera. MobileNetV3 Small was selected for its high computational efficiency and ability to operate on low-specification devices. The dataset used comprises 1.200 dental images, including both healthy teeth and teeth with cavities. The images were taken under varying lighting conditions and resolutions to reflect real-world scenarios. The model was trained using transfer learning and evaluated on a validation dataset using accuracy, sensitivity, and specificity metrics. The results demonstrated that the model achieved 90% accuracy, 90% precision, and 90% recall, highlighting its potential for real-time applications. These findings suggest that MobileNetV3 Small can serve as a practical, costeffective, and accessible solution for early detection of dental caries using everyday devices like smartphones. This technology has the potential to improve access to dental health services, support early detection initiatives, and reduce the prevalence of dental caries. This research provides a foundation for further development of AI applications in healthcare, particularly in developing countries. [ABSTRACT FROM AUTHOR]