Sikap Berhubungan dengan Tindakan Adaptasi Kebiasaan Baru (AKB) Remaja

The New Habit Adaptation (AKB) policy issued by Indonesian government is a form for implementing the new normal order during the COVID-19 pandemic, which has not been optimally implemented, especially for adolescents. Several studies and current observations showed that adolescents were still not adherent to implementing health protocols. This study, therefore, aims to analyze the link between knowledge, attitudes, and AKB adolescent practice in North Sumatra. A quantitative study with cross-sectional design was applied for this research involving 246 adolescents spread over 6 (six) working areas of Primary Health Care (Puskesmas) who was determined by purposive sampling. Data were collected using an online questionnaire which has been tested for validity and reliability, then data were analyzed descriptively by cross-tabulation and associatively by chi-square. The results showed the behavior of implementing AKB practice by adolescents was high (60.2%), knowledge was in the high category (92.7%) and adolescent attitudes were also positively supportive (90.7%). In addition, the significance test showed that there was a link between attitude and practice (p = 0.030; POR = 2.574). However, no link appeared to exist between knowledge and practice. This research contributes for developing of AKB policy outreach interventions by stakeholders and efforts to involve youth groups in the participatory achievement of AKB policy.

Information on Covid-19 and Effortful Control Level: Increasing or Decreasing Anxiety?

Anxiety has increased with more information about the COVID-19 outbreak. The COVID-19 information can make people more aware and care about this pandemic. However, it also can make people feel panic and anxious. Emotional induction in the information is referring to how the emotion carried by the information can affect early adult’s anxiety, but the differences in effortful control level that each person has also define the level of anxiety someone experiences. The anxiety level related to effortful control is one dimension of temperament. This study is conducted in concern of the effect of emotional induction in COVID-19 information towards anxiety in high and low effortful control groups. This study used a quantitative method with quasi-experimental research. This study involves 218 early adults in an age range of 20-40 years old. This study used pictures from content information about COVID-19, Self-Assessment Manikin (SAM), Beck Anxiety Inventory (BAI), and Effortful Control Questionnaire (ECQ) as the measuring tools. The results of the significance test show p <0.005. This means that there is an effect of emotional induction on anxiety at both high and low effortful control levels. This study shows that emotional induction in the form of COVID-19 information reduces anxiety in the respondent group with a high level of effortful control, but increases anxiety in the respondent group with a low level of effortful control. The effect of COVID-19 information on anxiety based on effortful control in the late adult (over 65 years old) group, in this study cannot be explained.

PENGARUH PANDEMI COVID-19 SECARA PSIKOLOGIS, ETOS KERJA, OMZET TERHADAP PRODUKTIVITAS USAHA MIKRO KECIL DAN MENENGAH DI KABUPATEN SLEMAN YOGYAKARTA

The purpose of this study was to determine the psychological effect of the Covid-19 pandemic, work ethic and turnover on the productivity of micro, small and medium enterprises in Sleman Regency, Yogyakarta. Data collection techniques through interviews with data collection instruments in the form of questionnaires. This study uses quantitative analysis techniques using validity test, reliability test, classical assumption test, multiple linear regression analysis, coefficient of determination, significance test (t test and F test). The results of the study obtained the results of the regression equation Y = -0.164 + 0.355 X1 + 0.447 X2 + 0.253 X3, while from the F test results, the calculated f value is 61.355, above the standard Sig significance value of 0.000 or f table of 3.97, or the value of significant is less than 0.05, which means that the Covid-19 pandemic psychologically, work ethic and turnover affect the productivity of micro, small and medium enterprises in Sleman Regency, Yogyakarta. Keywords : Covid-19 Pandemic, Psychological, Work Ethic, Turnover, Productivity

Effectiveness of Integrated Comic Electronic Media Islamic Values on Students' Creative Thinking Ability

Learning activities that utilize digital technology for online learning are an alternative during the COVID-19 pandemic. This study aims to determine the effectiveness of electronic comic media based on problem-based learning integrated with Islamic values to improve students' creative thinking skills. This study uses a Research and Development approach using the ADDIE model. The subjects in the study were 90 students of class VIII. Data collection techniques using research instruments with quantitative data analysis. The data collection instrument was by giving essay questions in the form of a creative thinking ability test. The study of creative thinking skills by calculating the N-gain and the significance test was carried out using an average difference test through a t-test with the help of SPSS. The results showed that the value of significance (2 tailed) from the two schools, namely 0.00 < 0.05, then H0 is rejected, and Ha is accepted, so it can be concluded that there is a difference in the average creative thinking ability of the pretest and posttest both at SMP N 3 Watumalang and at SMP IT Permata Hati, which means that there is an effect of using E-Comic media in improving students' creative thinking skills

HUBUNGAN PEMAHAMAN KONSEP PERBANDINGAN SENILAI DAN BERBALIK NILAI TERHADAP PERHITUNGAN SUHU PADA FISIKA KELAS VII SMP

The basic components of science and technology cannot be separated from arithmetic or mathematics. Mathematics is one of the basic sciences that supports science and technology and is a strategic field of study that teaches numeracy skills in problem solving. In fact, many students are less skilled in learning mathematics. One of the reasons is because some students still consider mathematics as a difficult subject when compared to other subjects. As in physics lessons related to mathematics. In the matter of physics calculation of temperature, most students have difficulty in calculating the temperature. Actually, the calculation method for changing the temperature is related to the mathematical calculation of comparative material. However, the lack of students' ability to understand the concept of comparison causes students to find it difficult to solve the problem of calculating temperature using the concept of comparison. Based on the variables studied, the problems formulated and the hypotheses proposed, this research uses a survey method with a correlation study approach which is part of the type of quantitative descriptive research. The data analysis technique used in this research is quantitative analysis. The test instrument used is the level of difficulty, discriminatory power, validity test, reliability test, prerequisite test. The analysis used in this study is the normality test, linearity test, and hypothesis testing. In the hypothesis test used Product Moment Correlation Test. After conducting a series of studies so that the correlation number is obtained through hypothesis testing using the Product Moment Correlation of 0.837. Then continued with a simple correlation significance test, obtained tcount of 7.86 whose value is greater than ttable of 1.70. So the results of this study can prove that there is a positive relationship between understanding the concept of comparison of worth and turning value in mathematics with temperature calculations in physics, especially in SMP PGRI 01 Ciawi, Bogor Regency. ABSTRAKKomponen dasar ilmu pengetahuan dan teknologi tidak terlepas dengan ilmu berhitung atau matematika. Pelajaran matematika merupakan salah satu ilmu dasar (basic science) pendukung ilmu pengetahuan dan teknologi serta merupakan bidang studi strategis yang mengajarkan kemampuan berhitung di dalam pemecahan masalah. Kenyataannya banyak siswa-siswi yang kurang terampil dalam belajar matematika. Salah satu penyebabnya karena sebagian siswa masih menganggap matematika sebagai mata pelajaran yang sulit bila dibandingkan dengan pelajaran yang lain. Seperti pada pelajaran fisika yang berkaitan dengan matematika. Pada materi fisika perhitungan suhu, kebanyakan siswa mengalami kesulitan dalam melakukan perhitungan suhu. Sebenarnya cara perhitungan mengubah suhu berkaitan dengan cara perhitungan matematika materi perbandingan. Akan tetapi, kurangnya kemampuan siswa dalam memahami konsep perbandingan menyebabkan siswa kesulitan dalam memecahkan masaalah perhitungan suhu yang menggunakan konsep perbandingan. Berdasarkan variabel yang diteliti,masalah yang dirumuskan dan hipotesis yang diajukan maka penelitian ini menggunakan metode survei dengan pendekatan studi korelasi yang merupakan bagian dari jenis penelitian deskriptif kuantitatif. Teknik analisis data yang digunakan dalam penelitian ini adalah yaitu analisis kuantitatif. Uji Instrumen yang digunakan adalah Taraf Kesukaran, Daya Pembeda, Uji Validiats, Uji Reliabilitas, Uji Prasyarat Analisis yang digunakan dalam penelitian ini adalah Uji Normalitas, Uji Linieritas, dan Uji Hipotesis. Pada Uji hipotesis digunakan Uji Korelasi Product Moment. Setelah dilakukan serangkaian penelitian sehingga didapatkan angka korelasi melalui pengujian hipotesis menggunakan Korelasi product Moment sebesar 0,837. Kemudian dilanjutkan dengan uji signifikansi korelasi sederhana didapat thitung sebesar 7,86 yang nilainya lebih besar dari ttabel sebesar 1,70. Sehingga hasil penelitian ini dapat membuktikan bahwa terdapat hubungan yang positif antara pemahaman konsep perbandingan senilai dan berbalik nilai pada matematika dengan perhitungan suhu pada fisika khususnya di SMP PGRI 01 Ciawi Kabupaten Bogor

Estimation of Salinity Content in Different Saline-Alkali Zones Based on Machine Learning Model Using FOD Pretreatment Method

Soil salinization is a global ecological and environmental problem in arid and semi-arid areas that can be ameliorated via soil management, visible-near infrared-shortwave infrared (VNIR-SWIR) spectroscopy can be adapted to rapidly monitor soil salinity content. This study explored the potential of Grünwald–Letnikov fractional-order derivative (FOD), feature band selection methods, nonlinear partial least squares regression (PLSR), and four machine learning models to estimate the soil salinity content using VNIR-SWIR spectra. Ninety sample points were field scanned with VNIR-SWR and soil samples (0–20 cm) were obtained at the time of scanning. The samples points come from three zones representing different intensities of human interference (I, II, and III Zones) in Fukang, Xinjiang, China. Each zone contained thirty sample points. For modeling, we firstly adopted FOD (with intervals of 0.1 and range of 0–2) as a preprocessing method to analyze soil hyperspectral data. Then, four sets of spectral bands (R-FOD-FULL indicates full band range, R-FOD-CC5 bands that met a 0.05 significance test, R-FOD-CC1 bands that met a 0.01 significance test, and R-FOD-CC1-CARS represents CC1 combined with competitive adaptive reweighted sampling) were selected as spectral input variables to develop the estimation model. Finally, four machine learning models, namely, generalized regression neural network (GRNN), extreme learning machine (ELM), random forest (RF), and PLSR, to estimate soil salinity. Study results showed that (1) the heat map of correlation coefficient matrix between hyperspectral data and salinity indicated that FOD significantly improved the correlation. (2) The characteristic band variables extracted and used by R-FOD-CC1 were fewer in number, and redundancy between bands smaller than R-FOD-FULL and R-FOD-CC5, thus estimation accuracy of R-FOD-CC1 was higher than R-FOD-CC5 or R-FOD-FULL. A high prediction accuracy was achieved with a less complex calculation. (3) The GRNN model yielded the best salinity estimation in all three zones compared to ELM, BPNN, RF, and PLSR on the whole, whereas, the RF model had the worst estimation effect. The R-FOD-CC1-CARS-GRNN model yielded the best salinity estimation in I Zone with R2, RMSE and RPD of 0.7784, 1.8762, and 2.0568, respectively. The fractional order was 1.5 and estimation performance was great. The optimal model for predicting soil salinity in II and III Zone was, also, R-FOD-CC1-CARS-GRNN (R2 = 0.7912, RMSE = 3.4001, and RPD = 1.8985 in II Zone; R2 = 0.8192, RMSE = 6.6260, and RPD = 1.8190 in III Zone), with the fractional order of 1.7- and 1.6-, respectively, and the estimation performance were all fine. (4) The characteristic bands selected by the best model in I, II, and III Zones were 8, 9, and 11, respectively, which account for 0.45%, 0.51%, and 0.63%% of the full bands. This approach reduces the number of modeled band variables and simplifies the model structure.

On Two Measure-Theoretic Aspects of the Full Bayesian Significance Test for Precise Bayesian Hypothesis Testing †

The Full Bayesian Significance Test (FBST) has been proposed as a convenient method to replace frequentist p-values for testing a precise hypothesis. Although the FBST enjoys various appealing properties, the purpose of this paper is to investigate two aspects of the FBST which are sometimes observed as measure-theoretic inconsistencies of the procedure and have not been discussed rigorously in the literature. First, the FBST uses the posterior density as a reference for judging the Bayesian statistical evidence against a precise hypothesis. However, under absolutely continuous prior distributions, the posterior density is defined only up to Lebesgue null sets which renders the reference criterion arbitrary. Second, the FBST statistical evidence seems to have no valid prior probability. It is shown that the former aspect can be circumvented by fixing a version of the posterior density before using the FBST, and the latter aspect is based on its measure-theoretic premises. An illustrative example demonstrates the two aspects and their solution. Together, the results in this paper show that both of the two aspects which are sometimes observed as measure-theoretic inconsistencies of the FBST are not tenable. The FBST thus provides a measure-theoretically coherent Bayesian alternative for testing a precise hypothesis.

Identification of Regional Drought Processes in North China Using MCI Analysis

Comprehensive identification of drought events is of great significance for monitoring and evaluating drought processes. Based on the date of daily precipitation, temperature and drought-affected area of 403 meteorological stations in North China from 1960 to 2019, the Comprehensive Drought Process Intensity Index (CDPII) has been developed by using the Meteorological-drought Composite Index (MCI) and regional drought process identification method, as well as the EIDR theory method. The regional drought processes in the past 60 years in North China, including Beijing, Tianjin, Hebei, Shanxi and Middle Inner Mongolia, were analyzed and identified. The result shows that the distribution characteristic of droughts with different intensities is as follows: The number of days of all annual-average mild droughts, moderate droughts and severe droughts was highest in Tianjin and that of extreme droughts was highest in Shanxi. The number of days of mild droughts was highest in May and lowest in January. The number of days of moderate droughts was highest in June. The number of days with mild and moderate drought showed an overall increasing trend, while the number of days with severe drought and above showed an overall decreasing trend (through a 95% significance test). The number of drought days was the highest in the 1990s. The annual frequency of drought is between 66.7% and 86.7%; the drought frequency in Hebei is the highest at 86.7%, followed by Beijing at 80%. There were 75 regional drought processes in North China from 1960 to 2019, and the correlation coefficient between process intensity and the drought-affected area was 0.55, which passed the 99% significance test. The comprehensive intensity of drought process from 27 April to 1 September 1972 was the strongest. From 18 May to 31 October 1965, the drought lasted 167 days. The overall drought intensity had a slight weakening trend in the past 60 years. A total of 75 regional drought processes occurred in North China, and the process intensity showed a trend of wavy decline with a determination coefficient (R2) of 0.079 (95% significance test). Overall, the regional drought process identification method and strength assessment result tally with the drought disaster, which can better identify the regional drought process. Furthermore, including the last days, the average intensity, average scope comprehensive strength, there are many angles to monitor and evaluate the drought and drought process. These provide a reference for drought control and decision-making.

Formal Tests for Resistance-Resilience in Archaeological Time Series

The study of resilience is a common pathway for scientific data to inform policy and practice towards impending climate change. Consequently, understanding the mechanisms and features that contribute towards building resilience is a key goal of much research on coupled socio-environmental systems. In parallel, archaeology has developed the ambition to contribute to this agenda through its unique focus on cultural dynamics that occur over the very long term. This paper argues that archaeological studies of resilience are limited in scope and potential impact by incomplete operational definitions of resilience, itself a multifaceted and contested concept. This lack of interdisciplinary engagement fundamentally limits archaeology’s ability to contribute meaningfully to understanding factors behind the emergence and maintenance of long-term societal resilience, a topic of significant interest that the field is in theory ideally positioned to address. Here, we introduce resilience metrics drawn from ecology and develop case studies to illustrate their potential utility for archaeological studies. We achieve this by extending methods for formally measuring resistance, the capacity of a system to absorb disturbances; and resilience, its capacity to recover from disturbances, with a novel significance test for palaeodemographic data. Building on statistical permutation and post-hoc tests available in the rcarbon package in the R statistical environment, we apply our adapted resilience-resistance framework to summed probability distributions of calibrated radiocarbon dates drawn from the Atlantic Forest of eastern Brazil. We deploy these methods to investigate cross-sectional trends across three recognised biogeographical zones of the Atlantic Forest domain, against the backdrop of prehistoric phases of heightened hydroclimatic variability. Our analysis uncovers novel centennial-scale spatial structure in the resilience of palaeodemographic growth rates. In addition to the case-specific findings, we suggest that adapting formal metrics can help archaeology create impact and engagement beyond relatively narrow disciplinary concerns. To this end, we supply code and data to replicate our palaeodemographic analyses to enable their use and adaptation to other archaeological problems.

Pengaruh Giro Wajib Minimum Dan Loan To Deposit Ratio Terhadap Return On Asset

This study aims to determine the effect of the Giro Wajib Minimum and Loan to Deposit Ratio on Return On Assets in banking companies included in Book IV for the period 2014-2019. The method was used a descriptive qualitative method with data obtained secondary from the financial statements of each bank. Data were analyzed using descriptive qualitative analysis methods with multiple linear regression analysis, determination analysis, simultaneous significance test (F test) and partial significance test (t test). The results of this study indicate that: 1) Statutory Reserves have no effect on ROA, 2) Loan to Deposit Ratio has a negative and significant effect on ROA 3) The Statutory Reserves and Loan to Deposit Ratio have a significant effect on Return On Assets. Keywords: Statutory Reserves, Loan to Deposit Ratio, dan Return On Assets