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Automatic Identification System (AIS) is a communication technology that plays an important role in improving operational safety and efficiency in the shipping industry. AIS allows ships to exchange real-time data on identity, position, speed, and direction, which helps prevent collisions and facilitates maritime traffic management by port authorities. In addition, AIS functions in search and rescue operations by providing accurate information on the location of ships in trouble. In terms of security, AIS allows monitoring of suspicious ships, thus helping in preventing illegal activities in the waters. This study aims to design and develop a prototype AIS receiver based on LoRa, Arduino, and LCD HMI. The LoRa module was chosen because of its ability to transmit data over long distances with low power consumption, which is suitable for the maritime environment. Arduino is used as the main microcontroller to control the system, while the LCD HMI serves as the display interface for the received data. After the hardware and software design was completed, the system was tested through functional testing and performance measurements using a spectrum analyzer to evaluate the strength of the LoRa signal at various distances. The test results show that the AIS receiver is able to receive data well up to 15 meters on land and 13 meters at sea, with a delay of 100 milliseconds. System performance degrades at longer distances due to environmental interference and signal attenuation. These findings provide insight into the effective limits of LoRa communication in maritime applications and can be used as a reference for frequency testing and optimization of LoRa-based long-range communication systems.

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.

This research uses a qualitative approach to identify societal issues that affect both individuals and communities. At SMP Negeri 17 Malang City, the principal, student representatives, PPKn teachers, and a number of students served as data sources. Data collection methods included observation, interviews, and documentation. The collected data includes both primary and secondary sources. We used both formal and unstructured interviewing methods. This study's data analysis process included three steps: data reduction, data presentation, and conclusion/verification. We also used triangulation methods to assess the validity of the data. Pre-field, fieldwork, involvement during data collection, and data analysis are the phases of the study process. To define Pancasila ideals and learn how to apply them using the cooperative learning model at SMP Negeri 17 Malang City, this research set out to ascertain the role that PPKn instructors play in doing so. The study's findings demonstrated that instructors have a responsibility to care for, acknowledge, and counsel pupils who lack motivation or discipline in addition to imparting knowledge. To prevent such issues, it is recommended that future research focus more on the role PPKn instructors play in boosting students' enthusiasm to study and selecting learning models that fit the infrastructure and facility requirements.

Abstract Indonesia is a country based on law and not based on mere power. A rule of law has a commitment to uphold every human right (HAM) and guarantees that every citizen has equal status before the law. Law has the aim of achieving peace, justice and benefits for society, in order to achieve order and tranquility in order to realize the supremacy of law. To realize legal supremacy, law enforcers are needed. This research uses a type of normative legal research, which is carried out by looking at secondary data or library sources which include primary and secondary legal documents. Criminal justice mechanisms in Indonesia still involve neglect of the Procedural Code. Criminal Procedure Code (KUHAP), especially in article 56. This is caused by law enforcers who think that the state is only obliged to offer and provide legal advice to accompany the defendant. If sanctions are not regulated for refusing to provide legal advice to the defendant, this will result in losses for the defendant in the investigation process starting from the police level to the judicial process, in which case it can be said that there is a legal vacuum. Keywords: Article 56 KUHAP, Legal Certainty, Legal Justice

This study analyzes how informational videos and entertainment videos affect buyers' interest in buying an item. This study uses secondary data by analyzing the latest scientific articles by producing the results of the analysis of this study that informational videos and entertainment videos affect consumers' interest in buying products. With the presence of informational videos about the products offered and entertainment videos that offer products attract consumers' attention to buy products.

Hospitalization is a disruptive experience for children that can also induce anxiety. Generally, the reactions of children undergoing inpatient care are anxiety, crying, and restlessness. Play therapy can help distract children from pain and provide relaxation. This study aims to determine the effect of squishy toy play therapy on reducing anxiety in preschool-aged children (3-6 years old) undergoing hospitalization. This study employs a Pre-Experimental method with a One Group Pre-Post Test Design. The population for this research is 200 children each month. The sample consists of 80 respondents who are preschool-aged (3-6 years old) and have been admitted to Rizani Paiton Probolinggo Hospital. The sampling technique used is accidental sampling. Data management involves processes such as Editing, Coding, Scoring, and Tabulating, and the data are analyzed using the Wilcoxon test.Top of FormBottom of Form The results of this study show that the average anxiety score before the squishy toy play therapy was 2.54. The average anxiety score after the therapy was 1.56. The analysis using the Wilcoxon test indicates that there is an effect of squishy toy play therapy on reducing anxiety in preschool-aged children (3-6 years old) undergoing hospitalization, with a p-value of 0.000. Squishy play therapy is carried out twice a day for three consecutive days, squishy play therapy is suitable for preschool children because this therapy is easy to do, does not require a lot of facilities and takes a short time. Suggestions for further researchers observe parents and closest people as one of the factors that influence the effectiveness of squishy play therapy.

Diabetes Mellitus is a disease characterized by hyperglycemia and metabolic disorders in the body which are associated with a lack of insulin secretion. Generally, DM therapy can be carried out using pharmacology and non-pharmacology. Non-pharmacological therapy that can be carried out is AAROM therapy and a low carbohydrate diet. The aim of this study was to determine the effect of AAROM therapy and a low carbohydrate diet on reducing blood glucose levels in elderly people suffering from type 2 DM in Ngepoh Village. This type of research isPre-experimentalby designTwo groups pre-post test. The total population was 90 respondents and the sample size was 33 elderly respondents suffering from type 2 DM in Ngepoh Village which were taken by purposive sampling. Data collection in this research used questionnaires and observation sheets. Analyzed with SPSS 20 using testsMan Whitney. The results of this study showed that the average blood glucose value in the control group was 282 mg/dl pre glucose and 177 mg/dl post glucose. Meanwhile, the mean blood glucose value in the treatment group with pre glucose was 295 mg/dl and post glucose was 144 mg/dl and there was an effect of AAROM therapy and a low carbohydrate diet on reducing blood glucose levels in elderly people suffering from type 2 DM in Ngepoh Village (ρ = 0.000 < α= 0.005) So type 2 DM sufferers are expected to be able to control blood glucose, one of them is by doing AAROM Therapy and a low carbohydrate diet. AAROM therapy can reduce insulin resistance, making it easier for glucose to enter cells, preventing obesity, and improving venous blood flow.

Clean and Healthy Living behavior in schools is a set of behaviors that are practiced in the school environment, so that it is independently able to prevent disease, improve health, and play an active role in creating a healthy environment . Health education is clean and healthy living behavior using audio-visual and demonstration methods. This study aims to determine the effect of health education using audio visual and demonstration methods on the skills of clean and healthy behavior in elementary school students 5 besuki. This research method uses quasi experimental approach with two-group pre test and post test design. The population of all students aged 6-12 SDN 5 besuki as many as 95 students SDN 5 besuki, sampling techniques used purposive sampling with a sample of 77 respondents. The instruments used are PHBS, SOP, and module videos. The Data obtained from the study were analyzed using the Wilcoxon Test and mann whitney Test. The results showed that the health education group using audio visual pre-test method amounted to 88.5 post-test 30.8 in the health education group using pre-test demonstration method amounted to 89.6 post-test 31.2. Wilcoxon test results in obtaining a p-value of 0.000 in the audio-visual and demonstration groups. Mann-whitneyy test results in getting the difference score from the difference between the two groups in getting the value of p-value 0.129 with an average value in the Audio-visual group of 35.42 and 42.49 demonstration group. It is expected that respondents who have not behaved in a clean and healthy life can apply health education using effective demonstration methods because the demonstration method is practiced directly by researchers and respondents so that it can be done independently.

Hypertension or high blood pressure is defined as a continuous increase in blood pressure that exceeds normal limits (Nuraini et al., 2023). Hypertension occurs due to several factors, the first being modifiable and non-modifiable factors. Among the modifiable risk factors for hypertension are smoking and obesity. People who smoke more than one pack of cigarettes per day will be twice as vulnerable as people who do not smoke (Luh et al., 2020). The purpose of this study was to determine the correlational between smoking and BMI with the incidence of hypertension in adult men in Alassumur Lor Besuk Probolinggo. The research design used an Correlational Analytic with a cross-sectional approach. The population in this study was 35 with a total sampling technique. The research instrument used a questionnaire, then the data obtained will be tested by Spearman rank. The results of the study obtained the smoking variable ρ = 0.018, the BMI variable ρ = 0.071. This shows that there is a corelation between smoking behavior and BMI with the incidence of hypertension. Smoking behavior that is increasingly uncontrolled will cause hypertension and accumulation of fat on the walls of blood vessels can cause narrowing and hardening, increasing blood flow resistance and ultimately increasing blood pressure. It is hoped that respondents will reduce their smoking habits and start a healthy life by maintaining a diet, exercising regularly and eating nutritious foods.

One of the problems of catfish cultivation (Clarias gariepinus) that can hinder this cultivation business is the slow growth of fish weight. The purpose of this study is to determine the effect of different administration of Mina Pro probiotics on the absolute weight growth of pearl catfish seeds measuring 5-7 cm in the maintenance tub. The method used in this study is an experimental method. The design used in this study was a Complete Randomized Design (RAL) with four treatments and six replicates. The treatment given is: addition of probiotics mina pro at a dose of 2 ml/kg of feed, 4 ml/kg of feed, 6 ml/kg of feed and without the addition of probiotics to feed. Other parameters that were also studied included water quality including temperature, pH and DO.

This study aims to determine the effect of soaking time and coconut water concentration on the dormancy breaking of oil palm seeds (Elaeis guineensis Jacq.). This study used a Factorial Completely Randomized Design with two factors. The first factor is the concentration of coconut water (A): A1 = 25% coconut water/liter of water, A2 = 50% coconut water/liter of water, and A3 = 75% coconut water/liter of water. The second factor is the soaking time (L): L1 = 30 minutes, L2 = 60 minutes, and L3 = 90 minutes. Data analysis was conducted using variance analysis and Duncan's test. The results showed that the concentration of coconut water significantly affected germination power, germination age, plant height, and the number of leaves of oil palm seedlings. A 75% concentration of coconut water produced the best dormancy breaking of oil palm seeds. The soaking time in coconut water solution also significantly affected germination power, germination age, plant height, and the number of leaves of oil palm seedlings. A soaking time of 90 minutes resulted in the best dormancy breaking of oil palm seeds. The interaction between coconut water concentration and soaking time significantly affected the germination power of oil palm seeds. This study provides important information on the optimal soaking conditions to improve dormancy breaking success, which can be used to accelerate the germination and growth of oil palm seedlings.

Fungal infections, such as those caused by Curvularia, can interfere with the vegetative growth and reduce the quality of oil palm seedlings, particularly in the main nursery phase. One solution to improve resistance to pathogens and support vegetative growth is by applying the right foliar fertilizer. This study aimed to determine the effect of Kenfolan foliar fertilizer application on vegetative growth and the level of Curvularia infection in oil palm seedlings during the main nursery phase. The study used a Completely Randomized Design (CRD) with five treatments of Kenfolan fertilizer concentrations: 0 ml/L (P1), 1 ml/L (P2), 2 ml/L (P3), 3 ml/L (P4), and 4 ml/L (P5), each repeated three times. The parameters measured included seedling height, stem diameter, number of fronds, and the percentage of Curvularia infection. Data analysis was performed using ANOVA followed by Duncan’s Multiple Range Test (DMRT) at a 5% significance level. The results showed that treatment P4 (3 ml/L) provided the best vegetative growth, with seedling height reaching 40.07 cm, stem diameter of 1.58 cm, and an average of 4.25 fronds. Additionally, treatments P3 (2 ml/L) and P4 (3 ml/L) successfully suppressed Curvularia infection, with no infection found in these treatments. In contrast, treatment P1 (control) showed the highest infection level of 33%, while P5 (4 ml/L) increased the infection compared to P3 and P4. Based on the results, the application of Kenfolan foliar fertilizer at a dose of 3 ml/L (P4) was the most effective in improving vegetative growth and suppressing Curvularia infection in oil palm seedlings in the main nursery phase.

This research built a simulation model of the cans line mobilization process yogurt in the Mosul dairy factory to see average waiting time per can and the average number of cans that remain in the queue before the filling process. Where the model was built using Microsoft Excel and queuing model used for this study is the kind of M/M/1: (FeFs,00,00). The results are that the time of waiting for each packet in the queue about (17) minutes and the average number of cans in the queue is (206) can of the total cans (1440 packqge) for that day.    

The rapid development of e-commerce has generated huge volumes of data, opening up opportunities to analyze product demand patterns more accurately. This research aims to develop a product demand prediction model based on big data analysis. The data used includes sales transactions, product searches, customer reviews, and external factors such as seasons and promotions. The main methods used are machine learning techniques such as random forest regression and neural networks to build predictive models, with data extraction, transformation, and analysis processes carried out using big data platforms such as Hadoop and Spark. The resulting model is evaluated using accuracy metrics, such as mean absolute error (MAE) and root mean square error (RMSE), to measure prediction performance. The results show that the use of big data in product demand prediction can increase the accuracy of inventory planning and stock management by up to 25% compared to conventional methods. These findings make a significant contribution to the optimization of e-commerce operations, especially in more efficient and timely data-driven decision-making.

The low level of student learning activity is often found in school learning activities, which has an impact on poor learning outcomes. This study aims to examine the significant comparison of learning activities and physics learning outcomes of vocational high school students using the cooperative learning models STAD (Student Teams Achievement Division) and TGT (Teams Games Tournament), as well as to describe student responses after the implementation of both models on the topic of energy and its changes. This research is a true experimental study with a posttest-only control group design. The population in this study consisted of 186 students, and the sample was determined using a cluster random sampling technique. Data collection methods included observation, tests, questionnaires, interviews, and documentation. The classical assumption test used was the normality test, followed by statistical analyses using the Independent Sample T-test and the Mann-Whitney U-test. The results of the analysis of student learning activity data using the Independent Sample T-test showed a Sig. (2-tailed) value of 0.699 > 0.05, while the analysis of learning outcome data using the Mann-Whitney U-test showed a Sig. (2-tailed) value of 0.806 > 0.05. These results indicate that there is no significant difference between the two learning models in terms of their effect on student learning activities and physics learning outcomes. In addition, the analysis of student responses showed that the implementation of the STAD and TGT models received a very good response. Thus, it can be concluded that while there is no significant difference between the two models, both are effective in generating student interest and positive engagement in learning physics.

Songs are included in oral Satra and are one of the oral traditions that are still popular today and are growing rapidly, giving birth to new musicians. Nadin Amizah’s song Sorai is one of the songs known for its compelling lyrics. This encourages researchers to examine the use of language styles or majas and word choice in the composition of the song. The author uses descriptive qualitative research and a stylistic approach to examine the lyrics of Nadin Amizah’s song Sorai. Words, phrases, and sentences in the song lyrics were included in the data collected. The research revealed the existence of 31 types of language styles and 41 forms of diction used in the song.    

This study aims to determine the analysis of the lyrics of the hymn of the congregation No. 26 Mampirlah Dengar Doaku by analyzing the meanings contained in each lyric of the song. This study uses qualitative research methods including data collection, data reduction, data presentation, and data verification. And all observations and methods carried out by the author during the research, the results of the analysis show that with the song Mampirlah Dengar Doaku, the analysis of this song can help us understand more deeply about our relationship with God and how we can develop that relationship. Recognizing God's presence: This song reminds us of God's presence in our lives and how we can feel His presence, Expressing feelings, the analysis of this song can help us express our feelings about the difficulties and suffering we experience. From this study, the author hopes to understand the meaning of the songs sung in worship, so that an interpretation is created when singing songs, and the congregation not only sings but can live the song    

This article explores the nature of the philosophy of Islamic education and its integration with the philosophy of mathematics in the learning process. The philosophy of Islamic education is rooted in the Qur’an and As-Sunnah and is further reinforced by the thoughts of Muslim philosophers. It encompasses three main aspects: ontology (the nature of existence), epistemology (the sources and methods of acquiring knowledge), and axiology (values and purposes). Islamic education aims not only to shape individual character but also to build a holistic educational system based on Islamic values. In this context, education is not merely a process of knowledge transfer but a means of fostering moral and spiritual development in learners. On the other hand, the philosophy of mathematics from the perspective of Islamic education emphasizes that mathematics is not solely an exact science of arithmetic, but also a discipline closely related to ethical and moral values in Islam. Mathematics is viewed as part of the divine order of Allah’s creation, reflecting His greatness. Therefore, the integration of Islamic educational philosophy and mathematical philosophy in learning offers a deeper approach to mathematical concepts. This approach not only enhances students’ cognitive understanding of the material but also instills spiritual awareness and values of faith and piety. By combining scientific and religious aspects, the learning process becomes more systematic, meaningful, and aligned with the comprehensive goals of Islamic education.

This research is motivated by the problem of communication in economic transactions in the Aru Islands District, which is recruited by a multi-ethnic community with a variety of regional languages. Although Indonesian has great potential as a national communication tool, its use in local economic activities is still limited, thus hampering the smooth interaction between traders and buyers. This communication inefficiency has an impact on the negotiation process and local economic competitiveness. This study aims to instill the role of Indonesian in facilitating economic transactions, identify barriers to use, and develop strategies to improve Indonesian language skills in the community. The approach used is descriptive qualitative with a phenomenological method. Data were collected through observation, in-depth interviews, and document studies, with informants selected using purposive sampling techniques to obtain data relevant to the local economic context. Expected results include an understanding of the contribution of Indonesian in increasing the effectiveness of transactions, revealing communication challenges, and strategies for improving contextual and applicable language literacy. These findings can provide practical contributions to local governments, educational institutions, and business actors in developing language training programs that support economic activities. From a theoretical perspective, this research enriches the study of the relationship between language and economic development, especially in multilingual areas such as the Aru Islands.

Minimally invasive surgery offers several advantages, including reduced blood loss, smaller incisions, less pain, and a lower risk of complications than open surgery. This approach enhances patient comfort and supports faster recovery. When guided by optimal path planning, surgical robots can accurately navigate the body to remove malignant tumors with high precision. This study proposes a Modified Particle Swarm Optimization (MPSO) algorithm to determine the optimal path for robotic-assisted minimally invasive surgery targeting brain tumors. The algorithm improves upon standard PSO by modifying the velocity update equation and incorporating an adaptive inertia weight, enhancing convergence speed, global search ability, and solution accuracy. Experimental results show that the proposed MPSO achieves a maximum fitness value of 19.10 in a sparse obstacle environment, outperforming standard PSO and IPSO in quality and in the required number of iterations. The approach effectively balances path efficiency and obstacle avoidance, making it well-suited for complex surgical scenarios. In conclusion, the MPSO-based method provides a reliable and precise solution for robotic surgical navigation, improving outcomes and safety in minimally invasive procedures.