Low Category Research Articles

Gambaran Ketangguhan Keluarga dalam Merawat Pasien Skizofrenia

The prevalence of Schizophrenia in adults is about 1 in 222 people (0.45%). Families caring for members suffering from schizophrenia need to build resilience to cope with the stress and pressure they face. Resilience is the process of staying firm and able to overcome existing sufferings, difficulties, and challenges. The purpose of this study is to find out the picture of family resilience in treating Schizophrenia patients. This type of research is quantitative observational with a descriptive approach. The population consists of all families caring for 100 schizophrenia patients. The number of samples in this study was 80 people with an accidental sampling technique. The family resilience measurement tool uses the Connor-Davidson Resillience Scale (CD-RISC) questionnaire containing 25 statements with aspects of emotional regulation, impulse control, optimism, analysis of the cause of problems, empathy, self-efficacy, and reaching out. Univariate analysis in this study includes frequency distribution. The results of the study showed that family resilience was in the high category as many as 49 people (61.3%), medium category as many as 30 people (37.5%) and low category as many as 1 person (1.2%). It is expected that families will increase family resilience by participating in self-efficacy training, learning skills in relieving existing emotions, focusing on optimism so that they can reduce the stress experienced in caring for their family members who suffer from schizophrenia.

Analysis of students' computational thinking skills in solving algebraic problems in cultural contexts

This research aims to find out about students' computational thinking abilities in solving algebraic problems in cultural contests. This research is qualitative research carried out at Yogyakarta Middle School. The participants involved were 31 students in the even semester of grade 7. The data sources in this research were the results of students' computational thinking tests, interviews with students who were selected based on their communication skills and the results of test answers. Data instrument testing uses validity and reliability tests with data validity using triangulation techniques. Data analysis in this study used the pullulation technique between student test results and student interview results, then data reduction, data categorization, power display and conclusion drawing were carried out. The results of this research are that students in the high category can complete all indicators of computational thinking and problem-solving abilities. Students in the medium category can only complete two indicators of computational thinking and problem-solving abilities. Students in the low category have not been able to complete all indicators of computational thinking and problem-solving abilities. The study reveals a significant variance in the computational thinking abilities among junior high school students in Piyungan Development class VIII when solving algebra problems within a cultural context. High-achieving students demonstrated proficiency across all indicators of computational thinking, effectively navigating through various stages from abstraction to solution verification. In contrast, students categorized as moderate showed partial success, managing only a subset of the indicators, while struggling with the more complex stages of problem decomposition and implementation. Meanwhile, students classified in the low category were unable to achieve any indicators of computational thinking and problem-solving skills. This indicates a clear need for targeted educational interventions to enhance computational thinking among students, particularly those who are struggling, to ensure all students can develop the necessary skills to solve problems effectively.

The observation that older men suffer from hip fracture at DXA T-scores higher than older women and a proposal of a new low BMD category, osteofrailia, for predicting fracture risk in older men.

The clinical significance of osteoporosis lies in the occurrence of fragility fractures (FFx), and the most relevant fracture site is the hip. The T-score is defined as follows: (BMDpatient-BMDyoung adult mean)/SDyoung adult population, where BMD is bone mineral density and SD is the standard deviation. When the femoral neck (FN) is measured in adult Caucasian women, a cutpoint value of patient BMD of 2.5 SD below the young adult mean BMD results in a prevalence the same as the lifetime risk of hip FFx for Caucasian women. The FN T-score criterion for classifying osteoporosis in older Caucasian men has been provisionally recommended to be - 2.5, but debates remain. Based on a systematic literature review, we noted that older men suffer from hip FFx at aFN T-score approximately 0.5-0.6 higher than older women. While the mean hip FFx FN T-score of around - 2.9 for women lies below - 2.5, the mean hip FF FN T-score of around - 2.33 for men lies above - 2.5. This is likely associated with that older male populations have a higher mean T-score than older female populations. We propose a new category of low BMD status, osteofrailia, for older Caucasian men with T-score ≤ - 2 (T-score ≤ - 2.1 for older Chinese men) who are likely to suffer from hip FFx. The group withT-score ≤ - 2 for older Caucasian men is comparable in prevalence to the group withT-score ≤ - 2.5 for older Caucasian women. However, older men in such category on average have only half the FFx risk as that of older women with osteoporotic T-score.

Hubungan Breastfeeding Self-Efficacy (BSEF) dengan Pemberian ASI Eksklusif

Background: In Central Java province, the percentage of infants aged 0-23 months who are breastfed in Sukaharjo district in 2021, which is an average of 10.40%, is still in the low category of exclusive breastfeeding (BPS, 2021). Exclusive breastfeeding during this period, then continued with complementary foods until the age of 2 years (WHO, 2018). The low exclusive breastfeeding is caused by several factors, one of which is the mother's self-efficacy. Mothers with high levels of breastfeeding self-efficacy have a greater tendency to start and continue breastfeeding their babies. Objective: This study aims to determine the relationship between Breastfeeding Self-Efficacy and exclusive breastfeeding. Methods: This study is a quantitative study with the type of Correlational Analysis. The design used in this study is cross sectional. In this study, the sample used was as many as 35 respondents, the analysis test used in this study was the Chi Square Test to determine the relationship between BSEF and exclusive breastfeeding. Results: The results of the chi square test obtained a significant relationship of 0.000 where Asymp. Sig 0.05 so it can be concluded that Ha is accepted and Ho is rejected, which means that there is a relationship between breastfeeding self-efficacy and exclusive breastfeeding. Conclusion: this study concluded that there is a significant relationship between Breastfeeding Self-Efficacy and exclusive breastfeeding.

Pembelajaran IPA terintegrasi TaRL-SEL dengan PBL dalam meningkatkan hasil belajar, berpikir kritis, & sosial-emosional

TaRL (Teaching at the Right Level)-SEL (Social Emotional Learning) integrated science learning facilitates students' learning needs, optimises cognitive development and social-emotional domain in CASEL competency framework. This class action research was conducted in class VIII C SMP N 1 Sedayu including pre-cycle, cycle 1, cycle 2, cycle 3, and cycle 4. The research data was analysed descriptively quantitatively. TaRL integrated SEL with PBL model can improve students' learning outcomes, from 56.25% completeness in the pre-cycle to 96.87%. The improvement of learning outcomes is related to the learning process and learning climate according to the needs of students. The learning process is linked to various things closest to the learner's environment including adapting the local potential of D.I. Yogyakarta. The percentage of completion of critical thinking skills increased from pre-cycle 31.25% to the last cycle 100%. The increase is related to the variety of learning that is done. Learning process activities with discussions/case studies, laboratory experiments, and product manufacturing improved critical thinking and CASEL competence. Self-awareness from moderate category 42.19% increased to very high category 83.31%. Self-management from moderate category 42.81% increased to high category 80.34%. Social-awareness increased from low category 40.31% to very high category 83.94%. Relationship-skills increased from low 39.38% to very high 82.38%. Responsible-decision making increased from a low category of 40.94% to a very high category of 84.50%.

A novel procedure to automate the removal of PLI and motion artifacts using mode decomposition to enhance pattern recognition of sEMG signals for myoelectric control of prosthesis

Hand Movement Recognition (HMR) with sEMG is crucial for artificial hand prostheses. HMR performance mostly depends on the feature information that is fed to the classifiers. However, sEMG often captures noise like power line interference (PLI) and motion artifacts. This may extract redundant and insignificant feature information, which can degrade HMR performance and increase computational complexity. This study aims to address these issues by proposing a novel procedure for automatically removing PLI and motion artifacts from experimental sEMG signals. This will make it possible to extract better features from the signal and improve the categorization of various hand movements. Empirical mode decomposition and energy entropy thresholding are utilized to select relevant mode components for artifact removal. Time domain features are then used to train classifiers (kNN, LDA, SVM) for hand movement categorization, achieving average accuracies of 92.36%, 93.63%, and 98.12%, respectively, across subjects. Additionally, muscle contraction efforts are classified into low, medium, and high categories using this technique. Validation is performed on data from ten subjects performing eight hand movement classes and three muscle contraction efforts with three surface electrode channels. Results indicate that the proposed preprocessing improves average accuracy by 9.55% with the SVM classifier, significantly reducing computational time.

Dynamic HIV risk differentiation among youth: Validation of a tool for prioritization of prevention in East Zimbabwe.

Differentiating risk for HIV infection is important for providing focussed prevention options to individuals. We conducted a longitudinal study to validate a risk-differentiation tool for predicting HIV or HSV-2 acquisition among HIV-negative youth. Population-based household survey in east Zimbabwe. HIV and HSV-2 status and HIV behavioural risk factors were assessed in two surveys conducted 12 months apart among young people. Associations between risk-behaviours and combined HIV/HSV-2 incident infection were estimated using proportional hazards models. We calculated the sensitivity and specificity of risk-differentiation questions in predicting HIV/HSV-2 acquisition and quantified changes between surveys among low, medium, and high-risk categories. In total, 44 HIV/HSV-2 seroconversions were observed in 1812 person-years of follow up (2.43/100PY, 95%CI: 1.71-3.15); 50% of incident cases reported never having had sex at baseline. Risk of HIV/HSV-2 acquisition was higher for those reporting non-regular partners (women: HR=2.71, 95% CI:1.12-6.54, men: HR=1.37, 95%CI: 0.29-6.38) and those reporting having a partner with a sexually transmitted infection (STI) (HR=7.62 (1.22-47.51). Adding a question on non-regular partnerships increased tool sensitivity from 18.2% to 38.6%, and further to 77.3% when restricted to those who had ever had sex. Individual risk category increased for 28% of men and 17% of women over 12-months. The refined risk differentiation tool identified a high proportion of youth at risk of HIV acquisition. Despite this, half of incident infections were among individuals who reported no prior sexual activity. The shifting patterns of risk behaviours underscore the need for dynamic prevention engagement strategies in high HIV prevalence or incidence settings.

Mental health conditions of Colombian adolescent population: An approach to risk.

To determine the mental health conditions of adolescents in the city of Manizales, Colombia, and explore risk regarding gender-based differences. Quantitative, nonexperimental, descriptive research with associative scope. A total of 316 adolescents were assessed using five scales to evaluate mental health conditions: the Perceived Stress Scale, Patient Health Questionnaire-9, Generalized Anxiety Disorder Scale, Penn Alcohol Craving Scale and The Substance Dependence Severity Scale. Univariate and bivariate analysis was performed, Chi square and Odds Ratio were tested. The findings indicated that being female is a risk factor for high levels of perceived stress, depressive episodes and anxiety. Additionally, adolescents who are not attending school are at higher risk for dependence and abuse of psychoactive substances. Conversely, being female acts as a protective factor against dependence on psychoactive substances. The findings suggest a higher tendency among the participants towards experiencing depressive episodes. Regarding perceived stress, 71.5% of the participants fell into the low category, while 70.6% experienced a current episode of generalized anxiety.

Global Suicide Mortality Rates (2000-2019): Clustering, Themes, and Causes Analyzed through Machine Learning and Bibliographic Data.

Suicide research is directed at understanding social, economic, and biological causes of suicide thoughts and behaviors. (1) Background: Worldwide, certain countries have high suicide mortality rates (SMRs) compared to others. Age-standardized suicide mortality rates (SMRs) published by the World Health Organization (WHO) plus numerous bibliographic records of the Web of Science (WoS) database provide resources to understand these disparities between countries and regions. (2) Methods: Hierarchical clustering was applied to age-standardized suicide mortality rates per 100,000 population from 2000-2019. Keywords of country-specific suicide-related publications collected from WoS were analyzed by network and association rule mining. Keyword embedding was carried out using a recurrent neural network. (3) Results: Countries with similar SMR trends formed naturally distinct groups of high, medium, and low suicide mortality rates. Major themes in suicide research worldwide are depression, mental disorders, youth suicide, euthanasia, hopelessness, loneliness, unemployment, and drugs. Prominent themes differentiating countries and regions include: alcohol in post-Soviet countries; HIV/AIDS in Sub-Saharan Africa, war veterans and PTSD in the Middle East, students in East Asia, and many others. (4) Conclusion: Countries naturally group into high, medium, and low SMR categories characterized by different keyword-informed themes. The compiled dataset and presented methodology enable enrichment of analytical results by bibliographic data where observed results are difficult to interpret.

The Improvement of Students’ Mathematical Communication Ability and Learning Interest on Junior High School through The Application of Reciprocal Teaching

This research is an experiment which aims to examine improving the mathematical communication skills and interest in learning of junior high school students in set material by implementing the reciprocal teaching learning model. The problem behind this research is that students' mathematical communication skills and interest in learning in set material are still in the low category, so learning alternatives are needed that can develop students' mathematical communication skills and interest in learning. The research method used is Pre-Experimental with a one group pretest-posttest research design. The population in this study were all class VII students in one of the private junior high schools in Karawang Regency. The sample in this research was 25 students with a purposive sampling technique. The instrument used is a communication skills test and a non-test in the form of a learning interest questionnaire. Based on the analysis of the data obtained, it shows that students' mathematical communication skills after implementing the reciprocal teaching model are better, namely from 8.32 to 75.32 and students' interest in studying set material after using the reciprocal teaching model is 60% in the low interest category and 40% with the high category which was previously 32% in the very low category and 68% in the low interest category. Thus, it can be concluded that the application of the reciprocal teaching model can improve the mathematical communication skills and interest in learning of class VII SMP students in set material, although not optimally.

Analysis of Mathematical Connection Ability and Self-Confidence on Junior High School Students

This research is motivated by the importance of students’ mathematical connection abilities and self-confidence in learning mathematics. Mathematical connection ability is an important factor in understanding mathematical concepts. The aim of this research is to analyze the level of students’ mathematical connection abilities and junior high school students’ self-confidence. The method used in this research is a descriptive-qualitative method. The research subjects were 37 students in class VIII-C of SMPN 3 Margahayu. The instruments used were four items of mathematical connection test material on the System of Two-Variable Linear Equations and non-tests of students’ confidence in learning mathematics. The results of the analysis show that the average score of all mathematical connection ability test questions in indicator 1 using relationships between mathematical topics is 5%, indicator 2 is understanding equivalent representations of the same concept (36%), indicator 3 uses mathematics in everyday life (52%), and indicator 4 uses mathematics in other subjects (27%). So the average is 30%. So the students’ mathematical connection ability is included in the low category. Most students are unable to solve problems with indicators using relationships between mathematical topics. This is shown by the results of the mathematical connection ability test; students did not connect optimally. But in learning mathematics, students already have good self-confidence.

The role of family support in managing death anxiety among the elderly

Death anxiety is a sentimental state experienced by individuals, specifically the elderly due to the occurrence of unpleasant events and contemplation of mortality. This condition is primarily caused by a lack of social support from family, which has a significant effect on mental health. Therefore, this study aimed to analyze the correlation between family support and the level of death anxiety in the elderly.The study procedures were carried out with a cross-sectional method, and the sample population comprised 239 elderly who were selected at a community health center in Malang Indonesia using cluster random sampling. Family support was measured using the Family Support Instrument (FSI), while death anxiety level was assessed with the Death Anxiety Scale (DAS).The relationship between the 2 variables was then tested using Spearman's Rank correlation test with p<0.05. The results showed that there was a strong correlation between the 2 variables, with family support falling into the high category for 98 participants (41%). In addition, 117 participants (49.0%) were reported to have a low category of death anxiety level.To conclude, these findings could be applied and used as a reference for future studies by exploring variables and conditions influencing family support and the death anxiety level of the elderly.

Analysis of Mathematical Creative Thinking Ability in View of Students' Confidence in Number Pattern Material

In the 21st century, learning mathematics requires students to master 4 skills, one of which is creative mathematical thinking. This ability will encourage students to have different points of view in solving a problem. The low ability to think creatively in mathematics is shown by the large number of students who are unable to express creative ideas when studying mathematics. One of the things that underlies creativity is self-confidence because there is a relationship between the two. The aim of this research is to describe mathematical creative thinking abilities in terms of self-confidence in number pattern material. This research is descriptive qualitative research. The subjects in this research were 6 students with high, medium and low self-confidence categories in each class VIII A and VIII B. The data collection techniques used were questionnaires, tests and interviews and analyzed using triangulation of sources and techniques. Apart from that, there are 3 stages of data analysis techniques, namely data reduction, data presentation, and drawing conclusions. The research results show that students with high self-confidence have a level of creative thinking ability (TKBK) 4 (very creative) by mastering the indicators of fluency, flexibility and novelty. Then students with moderate self-confidence have a creative thinking ability level (TKBK) 3 (creative) by mastering fluency and flexibility indicators. Finally, students with low self-confidence have a creative thinking ability level (TKBK) 3 (creative) by mastering indicators of fluency and flexibility.

PEMETAAN ANCAMAN BENCANA TANAH LONGSOR BERBASIS SISTEM INFORMASI GEOGRAFIS (Studi Kasus : Kecamatan Bener, Kecamatan Loano dan Kecamatan Kaligesing, Kabupaten Purworejo)

Purworejo Regency is one of the districts in Central Java that often experiences natural disasters. Based on the Indonesian Disaster Risk Index, Purworejo Regency is in the high category or prone to natural disasters. Based on BPBD data from Purworejo Regency throughout 2021, Purworejo Regency often experiences landslides with high landslide intensity in Bener, Loano and Kaligesing Districts. This condition is the basis for this research as one of the disaster mitigation efforts in the sub-district area. This research is based on a Geographic Information System using Minister of Public Works Regulation No.22/PRT/M/2007 and AHP. Both methods were verified with landslide disaster event data. The results of landslide threat mapping based on Minister of Public Works Regulation No.22/PRT/M/2007 showed that the high zone threat was 6.67% or an area of 1,561,205 Ha, the medium zone was 77.52% or an area of 18,140,315 Ha, and 15.80% or an area of 3,698.145 Ha is in the low category. Meanwhile, the AHP results showed that the high threat area for landslides was 12.45% or an area of 2,913,889 Ha, the medium zone was 77.14%, or an area of 18,050,276 Ha, and 10.41% or an area of 2,435,500 Ha was in the low category.Keywords: Landslides, Permen PU No.22/PRT/M/2007, AHP

The relationship of pan-immune-inflammation value (PIV) and HALP score with prognosis in patients with atrial fibrillation.

Because earlier studies have proven a link between hemoglobin, albumin, lymphocyte, and platelet (HALP) and pan-immune-inflammation value (PIV) scores and inflammation, we examined if these 2 markers had predictive value in patients with atrial fibrillation (AF). In the intensive care unit, 444 patients with and without AF were retrospectively analyzed. Patients with and without AF were compared with regard to their HALP and PIV scores. High and low categories of HALP and PIV scores were established based on the cutoff values. Furthermore, using receiver operating characteristic analysis, the mortality predictive efficacy of these scores was assessed in 230 patients with AF. Patients with AF had a significantly higher PIV score than those without AF; however, the HALP score found to be lower (P < .05 for all groups). The receiver operating characteristic analysis revealed that the HALP score exhibited a sensitivity of 66.7% and a specificity of 75.3% at a cutoff value of 2.037 (AUC: 0.753, P < .001). The PIV score cutoff value was 1062.7, but the sensitivity and specificity were both 55.7% and 55.8%, respectively (AUC: 0.571, P < .05). The mechanical ventilation requirement and in-hospital mortality rate were significantly higher in the high PIV (PIV > 1062.7) and low HALP (HALP ≤ 2.037) groups. There is a significant association between the HALP and PIV scores assessed upon admission and critically ill patients with AF. Although the HALP score serves as a powerful prognostic factor for these patients, the PIV lacks the capability to predict mortality.

Pengaruh Model Pembelajaran Collaborative Learning terhadap Motivasi Belajar PAK Siswa Kelas VII SMP Negeri 1 Sipoholon Tahun Pembelajaran 2023/2024

The aim of this research is to determine the differences in student learning motivation in PAK learning before and after it is taught using the Collaborative Learning learning model for class VII students at SMP Negeri 1 Sipoholon for the 2023/2024 academic year. The research hypothesis is: "There is a difference in students' learning motivation in PAK learning before and after learning with the Collaborative Learning learning model for Class VII Students of SMP Negeri 1 Sipoholon for the 2023/2024 Learning Year." The population is all class VII students of SMP Negeri 1 Sipoholon, totaling 163 people. The research sample was determined using the Purposive Sampling technique, namely 32 students in class VII-3 as the experimental class which used a collaborative learning model and 32 students in class VII-4 as the control class which used normal treatment (conventional class). This research method is the Quasi Experimental Design method using a Nonequivalent Control Group Design. The instrument used in this research was a 22 item questionnaire. Research data for the questionnaire was analyzed using the average difference test formula (N-Gain Score). It was found that the average value for the experimental class was 0.7283 in the high category. And the average value for the control class is 0.1548, which is in the low category. Then carrying out an independent test using the t test obtained a value of t = 11.648 &gt; t table (α = 0.05; df = 62) = 2,000. Based on the research results, it is stated that Ha is accepted and H0 is rejected. Thus, it can be concluded that there are differences in students' learning motivation in PAK learning before and after being taught using the Collaborative Learning learning model.

Land degradation vulnerability mapping using geospatial techniques: a case study of Nandakini River basin, NW Himalaya, India

ABSTRACT Land degradation is a significant global environmental issue, and its prevention has become a serious concern of the twenty-first century, particularly in the context of anthropogenic impact and climate change. It is crucial to map and assess the grade of land degradation to determine vulnerable areas. The Indian Himalayan region faces heightened risks with its steep terrain, active tectonics, heavy precipitation, and human interventions. This study focuses on the Nandakini Watershed. Employing AHP technique, the study calculates the Land Degradation Vulnerability Index (LDVI) using slope, terrain ruggedness, rainfall, temperature, LULC, soil depth, and organic carbon content. The results indicate that the upper region is highly vulnerable, and a higher slope influences the runoff in the area, followed by factors like NDVI and rainfall, collectively contributing to 62% of the overall index. In this context, the upstream regions of the watershed display a high LDVI, while most of the area falls within the low LDVI category. This indicates that approximately 2.10% of the study area is highly susceptible to soil erosion. RUSLE-based estimates have been used to further validate the LDVI result. The integrated LDVI offers a valuable tool for prioritising soil conservation and disaster mitigation.

The performance of OpenAI ChatGPT-4 and Google Gemini in virology multiple-choice questions: a comparative analysis of English and Arabic responses

ObjectiveThe integration of artificial intelligence (AI) in healthcare education is inevitable. Understanding the proficiency of generative AI in different languages to answer complex questions is crucial for educational purposes. The study objective was to compare the performance ChatGPT-4 and Gemini in answering Virology multiple-choice questions (MCQs) in English and Arabic, while assessing the quality of the generated content. Both AI models’ responses to 40 Virology MCQs were assessed for correctness and quality based on the CLEAR tool designed for evaluation of AI-generated content. The MCQs were classified into lower and higher cognitive categories based on the revised Bloom’s taxonomy. The study design considered the METRICS checklist for the design and reporting of generative AI-based studies in healthcare.ResultsChatGPT-4 and Gemini performed better in English compared to Arabic, with ChatGPT-4 consistently surpassing Gemini in correctness and CLEAR scores. ChatGPT-4 led Gemini with 80% vs. 62.5% correctness in English compared to 65% vs. 55% in Arabic. For both AI models, superior performance in lower cognitive domains was reported. Both ChatGPT-4 and Gemini exhibited potential in educational applications; nevertheless, their performance varied across languages highlighting the importance of continued development to ensure the effective AI integration in healthcare education globally.

Physical education learning outcomes of senior high school students based on gender and intellectual intelligence review

Abstract. This study examined the disparities in Physical Education (PE) learning Outcomes among high school pupils by considering their gender and intellectual aptitude. The study involved participants from a high school in Yogyakarta, selected using the Simple Random Sampling method. The data were then analysed using descriptive statistics and a two-way factorial inferential analysis of variance (ANOVA). The study divided the results into two groups based on their intellectual intelligence: low and high. In the low intellectual category, the average learning outcome for male students was 83.60. Meanwhile, the average for female students was 84.10. In the high intellectual intelligence category, the average results for male students were 85.30, while the average achievement for female students was 83.70. The ANOVA test for the intellectual intelligence variable yielded a p-value (Sig.) of 0.303, which is greater than the significance level of 0.05. This figure suggests that there is no statistically significant difference in students’ learning outcomes based on their level of intelligence, whether low or high. Similarly, the p-value of 0.383 for the gender variable was also greater than the significance level of 0.05, indicating no statistically significant variations in learning results. Additionally, the interaction effect between IQ and gender yielded a significance value of 0.100, which is greater than 0.05. It indicates no significant interaction between these two variables on the learning performance of high school students. The finding means that cognitive intelligence does not have a substantial impact on the performance of physical education (PE) among high school students. Moreover, there is no notable disparity in PE performance between male and female students, suggesting gender equality in both the opportunities and abilities in PE. Finally, the study found no notable correlation between gender and IQ levels in performance on intelligence tasks. These results diminish the importance of considering other criteria, such as physical aptitude, in evaluating PE performance and emphasize the need for comprehensive and inclusive physical education programs. Keywords: Learning Achievement, PE, Students, Adolescents, Gender, Intellectual Intelligence

Community-Based Biomonitoring in Randuboto and Manyar Sidomukti Coastal Areas for Biodiversity Conservation

The coastal area is certainly one of the most diverse ecosystems on Earth. This unique environment is characterized by the encounter of land and sea, forming a distinct ecotone zone. Randuboto and Manyar Sidomukti, fisherman villages located in Gresik Regency, thrives within this kind of diverse coastal ecosystem. The inhabitants rely heavily on their environment. Protecting this environment ensures the continued prosperity and resilience of the village's way of life. Biomonitoring is a method used for biodiversity accounting to indicate the quality of an environment. This process involves the quantification of various biodiversity metrics, including The Shannon-Wienerdiversity index (H index). Using this method, a study was conducted to assess the ecosystem condition in the Randuboto and Manyar Sidomukti coastal area. The mangrove community in Manyar Sidomukti exhibited a higher diversity index (H’ = 0.42 – 0.68) compared to Randuboto (H’ = 0 – 0.082), though both areas fall into the low diversity category with H’ 1. In terms of bird species, Randuboto had a greater number (40 species) than Manyar Sidomukti (37 species). However, the Shannon-Wiener diversity index for birds was higher in Manyar Sidomukti (H’ = 3.33) than in Randuboto (H’ = 2.80). These findings suggest that mangrove populations require additional support to enhance their resilience, whereas bird populations appear to be relatively resilient to environmental changes. Efforts to bolster this include mangrove reforestation, community service and development, and training in community-based biomonitoring.