261 research outputs found

    PENERAPAN MODEL PEMBELAJARAN KOOPERATIF  TIPE JIGSAW UNTUK MENINGKATKAN HASIL BELAJAR SENI MUSIK PADA MATERI LAGU NUSANTARA KELAS VIII E SMPN 3 SIDAYU GRESIK

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    Latar belakang penelitian ini adalah masih banyaknya siswa di kelas VIII E SMPN 3 Sidayu Gresik yang nilainya masih dibawah kreteria ketuntasan mengajaruntuk pembelajaran seni musik, karena belum maksimalnya model pembelajaranyang digunakan guru dalam mengajar. Tujuan penelitian ini untuk meningkatkanhasil belajar seni musik siswa di kelas VIII E SMPN 3 Sidayu Gresik dalam materilagu Nusantara dengan menggunakan pembelajaran kooperatif tipe Jigsaw.  Penelitian ini menggunakan metode penelitian tindakan kelas yangdilaksanakan dengan dua siklus. Subjek penelitian ini adalah seluruh siswa di kelasVIII E SMPN 3 Sidayu Gresik yang berjumlah 20 siswa. Data penelitian diperolehdari observasi aktivitas guru, aktivitas siswa, dan soal tes.  Berdasarkan hasil penelitian, pada aktivitas guru yang dilaksanakan di siklusI mendapatkan jumlah nilai 58 dengan persentase 77,3% dan pada aktivitas guru disiklus II mengalami peningkatan dengan jumlah nilai 63 dengan persentase 84%.Pada aktivitas siswa siklus I mendapatkan jumlah nilai 58 dengan persentase77,3% dan pada aktivitas siswa siklus II mengalami peningkatan denganmendapatkan jumlah nilai 66 dengan persentase 88%. Pada data hasil belajar siswadisiklus I mendapatkan rata-rata kelas 69,95 dengan persentase 40% danmengalami peningkatan pada siklus II dengan rata-rata kelas 6,8 dengan persentase100%.  Dari data tersebut dapat disimpulkan bahwa model pembelajaran kooperatiftipe Jigsaw dapat meningkatkan hasil belajar seni musik siswa pada materi laguNusantara di kelas VIII E SMPN 3 Sidayu Gresik. Kata kunci: penerapan, model pembelajaran kooperatif tipe jigsaw, hasil belajar.The background of this research is still a lot of students in the classroom VIII E SMPN 3 Sidayu Gresik whose value is still below the criteria ofcompleteness of teaching for learning the art of music, because not maximallearning model used by teachers in teaching. The purpose of this research is toimprove learning out comes art of music in class VIII E SMPN 3 Sidayu Gresik inthe archipelago song material by using cooperative learning Jigsaw.  This research conducten by two cycles. The research subjects were allstudents is the class VIII E SMPN 3 Sidayu Gresik totaling 20 students. Datawwere obtained from the observation of teacher activity, student activities, and testquestions.  Which makes the students in the class VIII E SMPN 3 Sidayu Gresiktotalling 20 students. . Data were obtained from observation activities of  studentsand teachers about the test. Based on this research, the teacher activity carried onthe  cycle I to get the number 58 with a value of 77,3% and the percentage ofteachers in the cycle II of activity in creased with the nuber 63 with a percentage of84%. At the student activity cyecle I get a percentage of the total value of 58to77,3% an in the cyecle II student activity has in creased by 66 to get an averageof 69,95 with a percentage grade of 40% and increased in the cycle II with anaverage grade of 6.8 with percentage of 100%. From this  data, it can be concluded that the Jigsaw cooperative learningmodel can improve learning outcomes art in the archipelago song material in classVIII E SMPN 3 Sidayu Gresik.Keyword: application, cooperative learning model type Jigsaw, Learning result

    Pengaruh Jumlah Aset Terhadap Laba Perusahaan Pada Indeks Lq 45 Yang Terdaftar Di Bursa Efek Indonesia Periode 2018 - 2019

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    Tujuan studi: Penelitian ini bertujuan Mengetahui Dan Menganalisis Pengaruh Jumlah Aset Terhadap Laba Perusahaan Pada Indeks LQ 45 Yang Terdaftar Di Bursa Efek Indonesia. Metodologi: Sampel di tentukan yaituu menggunakan metode purposive sampling. Metode sampling yaitu membatasii pemilihan sampel berdasarkan kriteria tertentu. Hasil: Berdasarkan hasil penelitian maka terdapat bahasan mengenai uji pengaruh jumlah aset terhadap laba perusahaan yang termasuk pada daftar Bursa Efek Indonesia tahun 2018-2019. Penelitian ini juga membuktikan Jumlah Aset memiliki pengaruh signifikan terhadap laba dilihat dari uji T Variabel Jumlah Aset memiliki pengaruh secara parsial.  Hal tersebut terbukti dari uji T yang menghasilkan nilai   7,474 > nilai tabel  sebesar 2.02108 menggunakan nilai signifikansi sebesar 0,000 < 0.05. Oleh sebab itu variabel independen jumlah aset berpengaruh signifikan terhadap laba. Manfaat: Untuk praktisi bisa menjadi bahan alasan untuk menentukan kebijakan dan untuk akademik bisa menjadi dasar penelitian sebelumnya

    Analysis of Learning Strategies in The Speaking Class at The Second Grade Students of Senior High School

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    Tujuan penelitian ini mengetahui strategi belajar yang digunakan oleh siswa, kemampuan berbicara siswa dan menemukan korelasi antara strategi belajar bahasa dengan kemampuan berbicara siswa. Penelitian ini dilakukan di SMAN 1 Binduriang Bengkulu menggunakan kualitatif dan kuantitatif. 20 siswa kelas dua dipilih sebagai sample. 50 quesionire dan test menggunakan storytelling untuk mengukur kemampuan berbicara siswa. Data dianalisa menggunakan product moment corelation. Ada 6 strategy belajar siswa yang berbeda meliputi; meta-cognitive (3.56), memory (2.95), affective (2.85), sosial (2.82), cognitive (2.77) dan compentation (3.11). Hasil nilai dari kemampuan berbicara siswa adalah (68.05), meliputi; vocabulary (72.5), comprehension (72.5), Pronunciation (66.5), fluency (66.5), dan grammar (62.5). Vocabulary dan comprehension adalah paling tinggi, terdapat hubungan yang signifikan antara penggunaan strategi belajar siswa dengan kemampuan berbicara dimana nilai r adalah 0.562.The objectives of this research are to find out the strategies of language learning that are used by the students, to find out the students speaking ability, and to find out the correlation between students language learning strategies with students speaking ability. This research was conducted in SMAN 1 Binduriang Bengkulu by using qualitative and quantitative method. There were 20 students from the second grade as a sample. 50 items of questionnaires to check the learning strategy and given test in speaking by using storytelling. The data were analyzed by product moment corelation. There are 6 kinds of different language learning strategies, including; meta-cognitive (3.56), memory (2.95), affective (2.85), social (2.82), cognitive (2.77) and compensation (3.11). The average score of students speaking ability is (68.05), such us; vocabulary (72.5), comprehension (72.5), Pronunciation (66.5), fluency (66.5), and grammar (62.5). The average score of vocabulary and comprehension were the highest one, there was a significant correlation between language learning strategies with speaking ability where value was 0.562.Keywords: learning strategy, speaking ability, students speaking ability

    ANALYSIS OF CLASSIFICATION OF LUNG CANCER USING THE DECISION TREE CLASSIFIER METHOD

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    The International Agency for Research on Cancer (IARC) revealed staggering figures, with 19.3 million global cancer cases and 10 million related deaths in that year. Cancer, characterized by abnormal cell growth, can potentially be dangerous with the ability to metastasize. Notably, lung cancer is often detected in an advanced stage due to a lack of awareness and comprehensive medical assessment. Lung cancer usually presents with a late-stage diagnosis. From 60% to 85% of individuals diagnosed with lung cancer show a lack of awareness about their condition. Early diagnosis using an accurate classification method can significantly increase the success of lung cancer diagnosis. To improve predictions, Decision Tree Classifier method was used in lung cancer classification, resulting in a significant increase in accuracy. This study achieved a good level of accuracy, with an accuracy value of 95.16% at a max_depth model depth of 15, and tested in 40 experimental iterations. These results are expected to provide hope for progress in the classification of lung cancer.   Keywords: Lung, Cancer, Classification, Decision Tre

    Removing barriers to facilitate efficient water markets in the Murray-Darling Basin of Australia

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    We discuss the role and characteristics of water markets in Australia in facilitating efficient water allocation. Administrative, regulatory and/or political barriers to effective functioning of water markets are reviewed with a focus on the southern Murray-Darling Basin (MDB) region of Australia. A mathematical model is developed to estimate the costs of existing restrictions and the benefits from potential changes in water markets (e.g., removing barriers in temporary water markets). The modelling results reveal that expanding trade leads to an increase in mean annual net returns from AU 2502milliontoAU2502 million to AU 2590 million (i.e., an increase of AU 88million).Whenthecurrentvolumerestrictions,exchangerates,andtradingchargesareaccountedfor,meanannualnetreturnsreducedfromAU88 million). When the current volume restrictions, exchange rates, and trading charges are accounted for, mean annual net returns reduced from AU 2590 million to AU 2573million(i.e.,areductionofAU2573 million (i.e., a reduction of AU 17 million). The exclusion of any of the three southern MDB states from the interstate water trading imposes significant costs. If South Australia, New South Wales or Victoria withdraws from the water market, net returns are reduced by AU 27million,AU27 million, AU 31 million and $63 million, respectively. The paper outlines the policy implications of strategies to remove market barriers and to facilitate efficient and effective water trading. Crow

    Analysis of Learning Strategies in the Speaking Class at the Second Grade Students' of Senior High School

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    Tujuan penelitian ini mengetahui strategi belajar yang digunakan oleh siswa, kemampuan berbicara siswa dan menemukan korelasi antara strategi belajar bahasa dengan kemampuan berbicara siswa. Penelitian ini dilakukan di SMAN 1 Binduriang Bengkulu menggunakan kualitatif dan kuantitatif. 20 siswa kelas dua dipilih sebagai sample. 50 quesionire dan test menggunakan storytelling untuk mengukur kemampuan berbicara siswa. Data dianalisa menggunakan product moment corelation. Ada 6 strategy belajar siswa yang berbeda meliputi; meta-cognitive (3.56), memory (2.95), affective (2.85), sosial (2.82), cognitive (2.77) dan compentation (3.11). Hasil nilai dari kemampuan berbicara siswa adalah (68.05), meliputi; vocabulary (72.5), comprehension (72.5), Pronunciation (66.5), fluency (66.5), dan grammar (62.5). Vocabulary dan comprehension adalah paling tinggi, terdapat hubungan yang signifikan antara penggunaan strategi belajar siswa dengan kemampuan berbicara dimana nilai r adalah 0.562.The objectives of this research are to find out the strategies of language learning that are used by the students, to find out the students' speaking ability, and to find out the correlation between students' language learning strategies with students' speaking ability. This research was conducted in SMAN 1 Binduriang Bengkulu by using qualitative and quantitative method. There were 20 students from the second grade as a sample. 50 items of questionnaires to check the learning strategy and given test in speaking by using storytelling. The data were analyzed by product moment corelation. There are 6 kinds of different language learning strategies, including; meta-cognitive (3.56), memory (2.95), affective (2.85), social (2.82), cognitive (2.77) and compensation (3.11). The average score of students' speaking ability is (68.05), such us; vocabulary (72.5), comprehension (72.5), Pronunciation (66.5), fluency (66.5), and grammar (62.5). The average score of vocabulary and comprehension were the highest one, there was a significant correlation between language learning strategies with speaking ability where value was 0.562

    Psychological distress, fear and coping among Malaysians during the COVID-19 pandemic

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    Introduction The COVID-19 pandemic has enormously affected the psychological well-being, social and working life of millions of people across the world. This study aimed to investigate the psychological distress, fear and coping strategies as a result of the COVID-19 pandemic and its associated factors among Malaysian residents. Methods Participants were invited to an online cross-sectional survey from Aug-Sep 2020. The study assessed psychological distress using the Kessler Psychological Distress Scale, level of fear using the Fear of COVID-19 Scale, and coping strategies using the Brief Resilient Coping Scale. Univariate and multivariate logistic regression analyses were conducted to adjust for potential confounders. Results The mean age (±SD) of the participants (N = 720) was 31.7 (±11.5) years, and most of them were females (67.1%). Half of the participants had an income source, while 216 (30%) identified themselves as frontline health or essential service workers. People whose financial situation was impacted due to COVID-19 (AOR 2.16, 95% CIs 1.54 3.03), people who drank alcohol in the last four weeks (3.43, 1.45 8.10), people who were a patient (2.02, 1.39 2.93), and had higher levels of fear of COVID-19 (2.55, 1.70 3.80) were more likely to have higher levels of psychological distress. Participants who self-isolated due to exposure to COVID-19 (3.12, 1.04 9.32) and who had moderate to very high levels of psychological distress (2.56, 1.71 3.83) had higher levels of fear. Participants who provided care to a family member/patient with a suspected case of COVID-19 were more likely to be moderately to highly resilient compared to those who did not. Conclusion Vulnerable groups of individuals such as patients and those impacted financially during COVID-19 should be supported for their mental wellbeing. Behavioural interventions should be targeted to reduce the impact of alcohol drinking during such crisis period. © 2021 Public Library of Science. All rights reserved. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Masudus Salehin, Wendy Cross, Muhammad Aziz Rahman” is provided in this record*

    COVID-19 related psychological distress, fear and coping : identification of high-risk groups in Bangladesh

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    Background: The COVID-19 pandemic has imposed psychological distress and fear across the globe; however, factors associated with those issues or the ways people cope may vary by country or context. This study aimed to investigate the factors associated with psychological distress, fear, and coping strategies for people living in Bangladesh during the COVID-19 pandemic. Methods: A cross-sectional study conducted in August-September 2020 using online platforms in Bangladesh. People residing in Bangladesh, aged ≥18 years, who were proficient in English and able to respond to online questionnaire. The Kessler Psychological Distress Scale was used to assess the psychological stress. Level of fear was assessed using the Fear of COVID-19 Scale, and strategies to cope were assessed using the Brief Resilient Coping Scale. Results: Of the 962 participants, half of them were aged between 30 and 59 years. Being born in Bangladesh, having graduate education, perceived distress due to employment change, effect of COVID-19 on financial situation, having multiple comorbidities, and visiting a healthcare provider in the last 4 weeks were associated with higher levels of both psychological distress and fear of COVID-19. Furthermore, higher psychological distress was associated with being a female (AOR 1.81, 95% CI 1.33–2.47, p < 0.001), being a frontline worker (AOR 1.50, 95% CI 1.04–2.15, p < 0.05), having pre-existing psychiatric problems (AOR 4.03, 95% CI 1.19–13.7, p < 0.05), being a smoker (AOR 2.02, 95% CI 1.32–3.09, p < 0.01), providing care to a known/suspected COVID-19 patient (AOR 1.96, 95% CI 1.40–2.72, p < 0.001), having a recent overseas travel history and being in self-quarantine (AOR 4.59, 95% CI 1.23–17.2, p < 0.05), self-isolation without COVID-19 (AOR 2.63, 95% CI 1.68–4.13, p < 0.001) or being COVID-19 positive (AOR 2.53, 95% CI 1.19–5.34, p < 0.05), and having high levels of fear of COVID-19 (AOR 3.27, 95% CI 2.29–4.66, p < 0.001). A higher level of fear was associated with moderate to high levels of psychological distress (AOR 3.29, 95% CI 2.31–4.69, p < 0.001). People with pre-existing mental health problems were less likely to be resilient (AOR 0.25, 95% CI 0.11–0.54, p < 0.01), whereas those with having an income were more likely to be resilient (AOR 1.46, 95% CI 1.02–2.11, p < 0.05). Conclusion: Effective interventions to support the vulnerable groups including improved access to mental health services are of utmost importance during the pandemic. © Copyright © 2021 Rahman, Rahman, Wazib, Arafat, Chowdhury, Uddin, Rahman, Bahar Moni, Alif, Sultana, Salehin, Islam, Cross and Bahar. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Aziz Rahman, Masudus Salehin, Wendy Cross" is provided in this record*

    External validation of the Computer Aided Risk Scoring system in predicting in-hospital mortality following emergency medical admissions

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    BackgroundClinical prediction models have the potential to improve the quality of care and enhance patient safety outcomes. A Computer-aided Risk Scoring system (CARSS) was previously developed to predict in-hospital mortality following emergency admissions based on routinely collected blood tests and vitals. We aimed to externally validate the CARSS model.MethodsIn this retrospective external validation study, we considered all adult (≥18 years) emergency medical admissions discharged between 11/11/2020 and 11/11/2022 from The Rotherham Foundation Trust (TRFT), UK. We assessed the predictive performance of the CARSS model based on its discriminative (c-statistic) and calibration characteristics (calibration slope and calibration plots).ResultsOut of 32,774 admissions, 20,422 (62.3 %) admissions were included. The TRFT sample had similar demographic characteristics to the development sample but had higher mortality (6.1 % versus 5.7 %). The CARSS model demonstrated good discrimination (c-statistic 0.87 [95 % CI 0.86–0.88]) and good calibration to the TRFT dataset (slope = 1.03 [95 % CI 0.98–1.08] intercept = 0 [95 % CI −0.06–0.07]) after re-calibrating for differences in baseline mortality (intercept = 0.96 [95 % CI 0.90–1.03] before re-calibration).ConclusionIn summary, the CARSS model is externally validated after correcting the baseline risk of death between development and validation datasets. External validation of the CARSS model showed that it under-predicted in-hospital mortality. Re-calibration of this model showed adequate performance in the TRFT dataset

    Resonant and high resolution photoemission of rare-earth cobalt oxides

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    LnBaCo2O5+δ (Ln-112) where Ln = lanthanide element; 0 ≤ δ ≤1 and LnBaCo4O7+δ (Ln-114) are highly correlated cobalt oxides. Synchrotron photoemission spectroscopy of LnBaCo2O5+δ (Ln = Gd, Dy, Dy1-xTbx) and LnBaCo4O7 (Ln = Yb) has been undertaken at the UK Synchrotron Radiation Source (Daresbury Laboratory).During the photoemission experiments, the samples were observed to be contaminated due to residual gases inside the main vacuum chamber. The surface degradation of the samples is studied using the difference spectra generated from the valence band spectra of freshly scraped and contaminated samples and the nature of contaminated species on these samples is identified in the light of the reviewed literature. High-resolution photoemission is carried out to study the metal-insulator (MI) transition in double perovskites LnBaCo2O5+δ (Ln = Gd, Dy, Dy1-xTbx - Ln-112; 0 ≤ δ ≤ 1) as a function of temperature. The high-resolution photoemission results of single crystal samples of GdBaCo2O5.5, DyBaCo2O5.5 and Dy1-xTbxBaCo2O5+δ show that the temperature-based MI transitions in these compounds occur in the 300-400 K temperature range. A post-growth oxygen annealing treatment for as-grown single crystals of Ln-112 is necessary, achieving oxygen contents close to 5.50, to observe a marked nonmetal-to-metal transition. Resonant photoemission is used to identify the atomic parentage of the valence band states. A comparison of the electronic structure of LnBaCo2O5+δ (Ln = Gd, Dy, Dy1-xTbx - Ln-112; 0 ≤ δ ≤ 1) and LnBaCo4O7 (Ln = Yb - Ln-114) single-crystal surfaces is made using synchrotron photoemission spectroscopy. In both cases, the states close to the Fermi energy are found to be of mixed Co 3d/O 2p character, and the comparison allows identification of states due to low spin Co³⁺ in octahedral environments. The contributions from Ln elements to the valence band are found at higher binding energies.EThOS - Electronic Theses Online ServiceGBUnited Kingdo
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