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Islamic character education has become a central focus of madrasah education; however, its planning is often implemented normatively without adequate managerial and evaluative mechanisms. This study aims to analyz ethe planning of Islamic character educationatMTs Persis 23 by examining the alignment betweent he madrasah’s strategic direction, curriculum, instructional practices, habituation programs, and character evaluation. Using a qualitative case study approach, data were collected through document analysis, classroom and school observations, and in-depth interviews with the head of the madrasah, the vice principal for curriculum, and home room teachers. Data were analyzed thematically to identify patterns of planning, implementation, and evaluation. The findings reveal that the madrasah has established a strong strategic foundation for character education through its vision, mission, and religious school culture, positioning character development as a core educational objective. Character values are integrated in to the Madrasah Operational Curriculum, lessonplans, and daily habituation activities functioning as a hidden curriculum. Nevertheless, the planning of character education remains weak at the operational level, particularly due to the absence of m easurable behavioral indicators, standar dizede valuation instruments, and systematic documentation of students’ character development. This study highlightsthe gap between normativ estrategic intentions and managerial implementation. It recommends the development of simple behavioral indicators, baselineand longitudinal character assessments, ands trengthenedpe dagogical supervision to ensure that character education planning is implemented systematically and sustainably.    

The role of Islamic Religious Education (PAI) teachers in shaping students' religious moderation is highly needed. The very diverse religious diversity in public schools is a challenge for PAI teachers compared to religious-based schools. The purpose of this study is to identify PAI learning based on Problem Based Learning (PBL) to improve students' moderate attitudes and national insight which includes; planning, implementation, evaluation, supporting and inhibiting factors as well as the impact of problem-based PAI learning to shape students' moderate attitudes and national insight. This study uses a qualitative approach using the case study method. Data collection techniques are carried out through interviews, observations and documentation analysis. The data analysis technique uses the Miles and Huberman analysis technique using the ATLAS.ti analysis tool. The results of the study found that: First, PBL learning planning is carried out by; setting learning objectives, compiling learning steps and learning evaluation. Second, implementation is carried out by; orientation stage, guiding stage, developing stage and conclusion stage. Third, evaluation is carried out by; holistic, diagnostic, formative and summative evaluation stages. Fourth, supporting factors include; student involvement, high teacher creativity, student collaborative learning, program collaboration, contextualization of issues in learning, support for infrastructure and school culture. Inhibiting factors include; difficulty in determining relevant problems, time availability, lack of teacher understanding, student diversity, difficulty generating ideas, social and cultural barriers, and resistance to change. Fifth, a moderate attitude is demonstrated by; tolerance, openness, respect for diversity, good ethics in interactions, wasathiyah, social harmony, critical and objective.

This study aims to evaluate user sentiment toward the Liputan6.com application available on the Google Play Store. In the digital era, user reviews serve as a significant indicator in assessing the quality of an application. However, the inconsistency between rating scores and review content renders manual analysis less objective. To address this issue, a machine learning approach was adopted by comparing two algorithms, namely Support Vector Machine (SVM) and Naïve Bayes (NB). A total of 2,500 reviews were collected through a web scraping process and automatically labeled based on the rating (positive if ≥ 3, negative if < 3). The data preprocessing stages included cleaning, case folding, tokenizing, stopword removal, and token filtering. Subsequently, word weighting was carried out using the TF-IDF method, followed by classification using 10-Fold Cross Validation in RapidMiner. The evaluation results indicate that, in the positive class, NB demonstrated superior precision (89.47%), whereas SVM achieved higher recall (98.94%) and F1-score (90.96%). In the negative class, SVM performed better in terms of precision (66.15%), while NB attained higher recall (65.65%) and F1-score (36.34%). Further evaluation based on AUC and accuracy positioned SVM in the good category (AUC 0.842; accuracy 83.82%), while NB was categorized as fail (AUC 0.505; accuracy 60.87%). Overall, SVM is considered to be more effective than NB.

Human action recognition involves recognizing and classifying actions performed by humans. It has many applications, including sports, healthcare, and surveillance. Challenges such as a limited number of classes of activities and variations within inter and intra-class groups lead to high misclassification rates in some of the intelligent systems developed. Existing studies focused mainly on using public datasets with little focus on real-life action datasets, with limited research on HAR for military obstacle-crossing activities.  This paper focuses on recognizing human actions in an obstacle-crossing competition video sequence where multiple participants are performing different obstacle-crossing activities. This study proposes a feature descriptor approach that combines a Histogram of Oriented Gradient and Region Descriptors (HOGReG) for human action recognition in a military obstacle crossing competition. The dataset was captured during military trainees’ obstacle-crossing exercises at a military training institution to achieve this objective. Images were segmented into background and foreground using a Grabcut-based segmentation algorithm, and thereafter, features were extracted and used for classification. The features were extracted using a Histogram of Oriented Gradient (HOG) and region descriptors from segmented images. The extracted features are presented to a neural network classifier for classification and evaluation. The experimental results recorded 63.8%, 82.6%, and 86.4% recognition accuracies using the region descriptors HOG and HOGReG, respectively. The region descriptor gave a training time of 5.6048 seconds, while HOG and HOGReG reported 32.233 and 31.975 seconds, respectively. The outcome shows how effectively the suggested model performed.

Background. City Ambon is Mother city province Maluku Which consists of from 5 sub-district, and has a population that is increasing day by day Which not balanced with the area. The density of motorized vehicles is increasing also increased with the presence of various vehicles. This will potentially increase the level of pollution air Which caused by by a number of pollutant Which produced from disposal smoke motorized. Objective. For know quality air ambient at Mardika terminal Ambon city. Methods. Type study This is study descriptive that is study about inspection level nitrogen dioxide (NO 2 ) at the terminal Mardika city Ambon, with study direct to field For to obtain sample Which Then done examination at the Environmental Health Technology Center (BTKL) Laboratory, Ambon. Results. Measurement temperature at the terminal Mardika Ambon Sunday First 39.9 ºC, Sunday second -34.4 ºC, Sunday third 34.2 ºC, Sunday fourth 29.4 ºC. Measurement speed wind in terminal Mardika Ambon on Sunday First 0.3-1.7 m/sec, Sunday second 1.8 m/s, Sunday third 0.3-1.7 m/sec, Sunday fourth 1.2-3.9 m/sec. Measurement level NO 2 in terminal Mardika Ambon that is Sunday First <5.22 µg/Mm³, Sunday second <5.22 µg/Nm³, Sunday third <5.22 µg/Nm³, Sunday fourth <5.22 µg/Nm³. Conclusion. Measurement Temperature, Speed Wind and Nitrogen Dioxide (NO 2 ) all results measurement fulfil standard.

This research discusses the utilization of electromagnetic fields in navigation devices, which play a crucial role in daily life. With technological advancements, navigation systems such as GPS, radar, and compasses have become essential tools for determining position and direction. This study employs a literature review method, which involves a series of activities related to collecting library data, reading, recording, and processing relevant information for the research objective. The aim is to analyze various sources of information regarding the use of electromagnetic fields in these devices. The findings indicate that electromagnetic fields enable navigation devices to function effectively, despite challenges such as signal interference and weather conditions that may reduce accuracy. This research aims to explore how electromagnetic fields, which combine electric and magnetic fields, are utilized in modern navigation systems. The method used is a literature review, where the researchers collect and analyze information from various reliable sources to understand the effectiveness and challenges in the application of electromagnetic fields in these devices. The results show that electromagnetic fields allow navigation devices to operate effectively, providing accurate location information

Students who excel must receive guidance on the development of each student's individual potential in order to produce superior and quality students. To complete this task, student achievement is taken into account. The Analytical Hierarchy Process (AHP) approach is one method that can be utilized in decision support systems. can do weighting to determine selection criteria and alternatives, starting from the definition of the problem. The purpose of evaluation or weighting in a decision support system, such as that carried out using the Analytic Hierarchy Process (AHP) approach, is to assess and compare the value or characteristics of each alternative based on predetermined criteria. This process allows us to understand how important each criterion is in achieving the main goal, so that the decisions taken are more structured and objective. Based on the method used, the system provides valid and accurate findings. The final result of determining the priority weight of alternatives based on ranking    

Cervical cancer generally affects women aged between 15 and 49 years. Globally in 2020, there were 19.2 million new cancer cases which caused nearly 10 million deaths, according to data from WHO. The WHO cancer profile also recorded around 604,127 cases of cervical cancer worldwide, where this incidence was the second largest in Asia with a percentage of 58.2%, or around 351,720 individuals affected by the disease. In Indonesia, based on data from Global Burden Cancer (GLOBCAN) described in the Indonesia Cancer Care Community (ICCC) article, cervical cancer is in second place in terms of the highest number of sufferers after breast cancer in women, with around 32,469 cases (17.2%) and the death rate was around 18,279 people (8.8%). Objective. Knowing the Relationship between Cervical Cancer Knowledge and Early Detection of Visual Inspection of Acetic Acid (IVA) in Women of Childbearing Age in Tawaang Barat Subdistrict, Manado City in 2023 Research Method. This research uses quantitative research with analytical survey methods and a cross-sectional approach. The sample in this study was women of childbearing age aged 25-49 years. The sample was taken using Cluster random sampling, obtaining a sample of 135 respondents. Data analysis used Chi square. Results. For sufficient knowledge, 53 people (39.3%), 78 people (57.8%) did not carry out early detection. The results of Chi square analysis for the relationship between knowledge of cervical cancer and early detection of VIA examination are p value (0.000) ˂α (0.05).

Background. Anemia during pregnancy is still a major problem in the world today because it is one of the causes of maternal death or also known as "Potentional Danger To Mother And Child". The high incidence of anemia in pregnant women is multifactorial, from a pure deficiency of iron, folate, B12, the level of knowledge and attitudes of pregnant women about the incidence of anemia. Objective. To determine the relationship between the knowledge and attitudes of pregnant women towards the incidence of anemia at the Mamboro Health Center Research methods. The type of research used is quantitative research with a Cross Sectional Study approach. The sample is 20 people with the sampling technique using the feeder formula. Research result. The results of the study with 20 respondents having good knowledge were 1 respondent (5.0%) with anemia, 8 respondents (40.0%) good knowledge not anemia and as many as 11 respondents (55.0%) lacking knowledge with anemia, Based on data analysis with Fisher's test Relationship between knowledge and The incidence of Anemia obtained p value = .000 <0.05 and the relationship between Attitude and Anemia Incidence with Fisher's test obtained p value = 0.004 <0.05 with the results of a positive attitude study of 1 respondent (5.0%) with anemia, 6 respondents (30.0%) attitude positive without anemia. And as many as 11 respondents (55.0%) have a negative attitude with anemia. 2 respondents (10.0%) had a negative attitude with no anemia. Conclusion. there is a relationship between knowledge and the incidence of anemia and there is a relationship between the attitudes of pregnant women and the incidence of anemia.

This study specializes in analyzing the short story Kairos kopi by Putu Ayub using an objective approach to obtain the structure in the short story in the form of intrinsic elements namely theme, point of view, plot, setting, character, characterization, style of language, and message in the short story. The research method used is descriptive qualitative. As for descriptive qualitative is a study devoted to research thoroughly, broadly, and deeply. The results are in the quality of words, sentences and their meanings without comparing the results of this study with the results of other studies. The source of the data obtained is by reading carefully, critically the short story Kairos Kopi by Putu Ayub. Based on the results of the theme used in the short story, which is about struggle, that if we want to start something new we must not be pessimistic. This is consistent with the character in the short story, namely (I) who has a pessimistic character

This article is a discussion of the analysis of the short story special gift by Honest Prananto which uses an objective approach, namely an approach that focuses on a literary work in a thorough and structured manner. The research method used is descriptive qualitative, namely a research method that focuses on what is thoroughly, deeply and broadly researched. By providing the results of the discussion in words and sentences as well as quality meanings without being compared with the results of other analyses. Thus the results obtained from this study are in the form of intrinsic elements: theme, point of view, plot, setting, character, character, style of language, and message from the short story special gift by Honest Prananto. It is hoped that this research can help friends in analyzing in depth the analysis of the short story A Special Gift by Honest Prananto.

The increased garbage creation in Maros may motivate businesses to become more concerned with environmental sustainability. Armour Coffee's green marketing strategy begins with the brand logo and extends to the firm's vision and objective. According to statistics from the top brand index, Armour Coffee remains the least popular local coffee shop in Indonesia, which is both a phenomena and a problem in this study. Based on the findings, the study concludes that Green Product and Green Place have a favourable influence on Interest in Purchasing Armour Coffee in Maros. Meanwhile, Green Price and Green Promotion had little influence on Interest in Purchasing Armour Coffee in Maros. Simultaneously, green product, green pricing, green location, and green promotion (green marketing mix) impact interest in purchasing Armour Coffee in Maros.