The Influence of Organizational Climate and Public Service Motivation on the Performance of Nurses at the Haji Hospital in South Sulawesi Province

This research is a quantitative study using an observational study with a cross-sectional study design on the influence of organizational climate, Public Service Motivation and nurse performance from 182 samples of nurse respondents at Haji Hospital, South Sulawesi Province, Indonesia. The aim is to identify the current organizational climate of the Haji Hospital, increase awareness of the mission of the Haji Hospital and identify motivational factors. The results showed that the influence of organizational climate on nurse performance was (0.000). The results showed that there was an effect of Public Service Motivation on Nurse Performance of (0.000). The results showed that the organizational climate variable had the most influence on the performance of nurses at the Haji Hospital, South Sulawesi Province. It is recommended to the management of the Hajj Hospital to improve teamwork by immediately resolving conflicts such as achieving the goals set by the Hajj Hospital Management. Hajj Hospital management seems to have to include flexibility; for example, team convenience might come with more flexible policies such as conducting tutoring and training via online video. It is recommended that after watching the video, nurses then write solutions to resolve conflicts in the organizational climate. Their papers will be reviewed and given written instructions by the leadership to nurses. Following the group discussion and later each nurse presented their views. The Hajj Hospital management provides appropriate incentives and praise for the successful performance of nurses.

Atmospheric Lightning as Essential Climate Variable (ECV) and Its Availability Over India Using NRSC/ISRO Lightning Detection Sensor Network

Atmospheric lightning is an outcome of extreme complex physical processes occurring in the atmosphere. Cloud-to-ground (CG) lightning is considered as a natural disaster. Understanding the importance of CG lightning and implication of the lightning phenomena, Global Climate Observing System (GCOS), world meteorological organization, in its report in the year 2016, introduced the lightning as an Essential Climate Variable (ECV). The present report uses the Lightning Detection Sensor Network (LDSN) established by the National Remote Sensing Centre, Indian Space Research Organization over India to generate the Lightning ECV. A use case of these ECVs are also showcased for an event in Bihar, India, when 42 deaths were reported at locations with large number of CG occurrences.

Pengaruh Iklim Organisasi Dan Pengembangan Karir Terhadap Semangat Kerja Karyawan Pada PT. Mahakam Energi Berkah

The purpose of this study was to determine the effect of organizational climate variables and career development on employee work spirit simultaneously and partially. In addition, to determine the most dominant variable affecting employee work spirit at PT. Mahakam Energy Blessing in Tenggarong Seberang. The responden in this study were all production employees at PT. The Mahakam of Blessing Energy numbered 93 people. The analytical tool used is qualitative analysis with multiple regression models. Based on the simultaneous test table, it can be concluded that the variable organizational climate and career development simultaneously affect employee morale. Organizational climate and career development variables have a partial effect on employee morale. From the two partial correlation test results, it can be seen that the value of the organizational climate variable is the largest compared to the career development variable, so that the organizational climate variable is the most dominant variable affecting work morale. Keywords: Organizational Climate, Career Development, Work Spirit

THE EFFECT OF IN-SERVICE TRAINING, PEDAGOGIC COMPETENCY AND WORK CLIMATE ON TEACHER PERFORMANCE AT STATE ISLAMIC JUNIOR HIGH SCHOOL (MTSN) OF SOUTH LAMPUNG

This study analyses the effect of In-Service Training, pedagogic competence, and work climate simultaneously on teacher performance at MTsN of South Lampung. The research method used was the quantitative method. The data were collected using questionnaires, interviews, observations, and documentation. The first results of this study indicated that based on the hypothesis test results, In-Service Training posed a significant effect on teacher performance with a t-critical value of 1.668, a t-observed value of 1.954, and the Sig. value of 0.004. Therefore, the t-observed value was greater than the t-critical value(1,954>1,668) and the Sig. value of 0.04 was less than 0.05. These results indicated that Ha was accepted. The second results of this study indicated that educational competence had a positive and significant influence on the performance of MTsN teachers in the South Lampung Regency. This result was supported by the t-critical value of 1.668, the t-observed value of 10.081, and the Sig. value of 0.00. Therefore, the t-observed value was greater than the t-critical value (10.081>1.668) and the Sig. value of 0.00 was less than 0.05, which means Ha was accepted. The third result showed that the work climate variable had a positive and significant effect on teacher performance at MTsN in South Lampung Regency with a t-critical value of 1.668, the t-observed value of 2.063 the Sig. value of 0.01. Therefore, the t-observed value was greater than the t-critical value (2.063<1.668) and the Sig. value of 0.01 was smaller than 0.05, which means Ha was accepted. The fourth result of this study indicated that the In-Service Training, pedagogic competence, and work climate had a simultaneous effect on teacher performance. The F-observed value evidences these results. Of 192.454, which was smaller than the F-critical value of 2.75 with a significance of 0.00.

The influence of curriculum and school climate on the academic attitude of tahfiz students in Malaysia

<span>This study aimed to examine the influence of curriculum and school climate on the academic attitude of </span><em><span>tahfiz</span></em><span> (memorizing Al-Quran) students in Sabah, Malaysia. A total of 81 students (age 10-12) from three private </span><em><span>tahfiz</span></em><span> primary schools around Kota Kinabalu were involved in this study. This quantitative study used cross-sectional survey method by distributing questionnaires to the respondents. The questionnaire was developed by the researchers to suit the unique environment of the </span><em><span>tahfiz</span></em><span> schools and has gone through the process of validity and reliability. Descriptive analysis showed that student attitude variable showed a high level of mean score (above 3.80), while for school climate variable, the finding was at moderate level (Mean=3.56, SD=0.530). As for curriculum variable, most students learnt the same main subjects as studied in government-aided primary schools, with addition to Quranic subject. However, no one learnt Computer Education subject. Multiple regression analysis showed that only the school climate variable significantly influenced the academic attitude of </span><em><span>tahfiz</span></em><span> students (R2=0.251, Beta=0.503, p&lt;0.001). This study will be able to provide useful information and benefit for the improvement of </span><em><span>tahfiz</span></em><span> institutions in Malaysia.</span>

Impact of Climate Change on Budget Balance: Implications for Fiscal Policy in the ECOWAS Region

The budget deficits of the Economic Community of West African States (ECOWAS) have been widening over the years. This study investigated the impact of climate change on budget balance and projected its implication for fiscal policy in ECOWAS countries. The two-step dynamic GMM method was applied for a balanced panel data of 14 countries from 2008 to 2018. The study found that rainfall is the only climate variable that increases budget deficits. Other macroeconomic variables: debt to GDP ratio and inflation were also responsible for the widening budget deficits. A major policy implication of this finding is that extreme and unpredictable rainfalls will distort the fiscal balance of ECOWAS countries by either reducing the revenue generation outlets or by raising expenditures. This will lead to more borrowing that will further widen the existing budget deficits through debt servicing, hence, making the respective governments to pay less attention on other sectors of the economy. Thus, ECOWAS countries need to expand their revenue generation sources either by creating an enabling environment for more businesses and investments to strive or by engaging in more foreign direct investment (FDI).

Remote Sensing Monitoring of Advancing and Surging Glaciers in the Tien Shan, 1990–2019

The advancing of glaciers is a manifestation of dynamic glacial instability. Glaciers in the Tien Shan region, especially in the Central Tien Shan, show instability, and advancing glaciers have been recently detected. In this study, we used Landsat TM/ETM+/OLI remote sensing images to identify glaciers in the Tien Shan region from 1990 to 2019 and found that 48 glaciers advanced. Among them, thirty-four glaciers exhibited terminal advances, and 14 glaciers experienced advances on the tributary or trunk. Ten of the glaciers experiencing terminal advances have been identified as surging glaciers. These 48 glaciers are distributed in the western part of the Halik and Kungey Mountain Ranges in the Central Tien Shan, and Fergana Mountains in the Western Tien Shan, indicating that the Tien Shan is also one of the regions where advancing and surging glaciers are active. From 1990 to 2019, a total of 169 times advances occurred on 34 terminal advancing glaciers in the Tien Shan region; the highest number of advancing and surging of glaciers occurred in July (26 and 14 times, respectively). With reference to the existing literature and the present study, the surge cycle in the Tien Shan is longer than that in other regions at high latitudes in Asia, lasting about 35–60 years. Surging glaciers in the Tien Shan region may be affected by a combination of thermal and hydrological control. An increase in temperature and precipitation drives surging glaciers, but the change mechanism is still difficult to explain based on changes in a single climate variable, such as temperature or precipitation.

Kinerja Pegawai Dipengaruhi oleh Komunikasi, Iklim Organisasi dan Motivasi Kerja

This study aims to describes the ability of communication, organizational climate, and work motivation on the create of employee performance in the Yapen Selatan District. The research method used is quantitative research using statistical procedures. The research instrument was a questionnaire with a Likert scale. The sample in this study were 52 employees in the Yapen Selatan District. Multiple linear regression test with the help of SPSS 22 software is used to determine the effect of independent variables on the dependent variable. The results showed that the variables of communication and work motivation had a significant positive effect on employee performance. While the organizational climate variable has a significant negative effect on employee performance. Communication, organizational climate, and work motivation together have an effect on the performance of South Yapen District employees. Keywords: Communication, Organizational Climate, Work Motivation, Employee Performance.

Advances and challenges in the past decade: from univariate to multivariate bias adjustment of climate models for impact studies

&lt;p&gt;Climate models are primary tools to reconstruct past and predict future climates. It is common procedure to use general circulation models (GCMs) for large scale studies and regional climate models (RCMs), for impact studies at a finer spatial resolution. However, climate models face biases compared to observation. To overcome these biases, different statistical methods have been suggested in the scientific literature that employ a transformation algorithm to re-scale (or bias-correct) RCM outputs. Some of these methods (e.g. univariate methods that adjust only one RCM-simulated variable at a time) are comparatively easy to implement while others (e.g., multi-variate correction that guarantees consistency in spatiotemporal fields and different climate variables) that have been introduced lately to the field, are more complex and require advanced statistical knowledge and more computing power. Therefore, the need to further investigate the performance of the latest more complex bias-adjustment methods under different climatic conditions still exists and their added value still needs to be evaluated from different aspects.&lt;/p&gt;&lt;p&gt;Thus, we assessed the skill of two commonly used multivariate methods, namely copula based bias adjustment methods and non-parametric n-dimensional multivariate bias correction (MBCn). We further compared them with widely used univariate methods, i.e. the parametric distribution mapping (DS) and the non-parametric quantile delta mapping (QDM), to adjust RCM-simulated temperature and precipitation. We evaluated these methods over 55 Swedish catchments varying in size and climatic features using an ensemble of 10 different RCMs under varying climate conditions to check multiple features that represent both probabilistic and temporal behavior. To evaluate how these methods, perform in nonstationary climate conditions, we performed the assessment over two periods of 22 years each, where the period 1961-1982 is used for calibration and 1983-2004 for validation. The adequacy of each bias adjustment method in reducing the biases varies depending on several factors such as the studied watershed, the applied RCM model, utilized climate variable and the statistical feature that is subjected to adjustment. We further discuss potential issues and trade-offs of each of the applied methods and present an evaluation of each bias-corrected climate variable in terms of its (1) statistical properties, (2) temporal behavior utilizing cross correlation and autocorrelation measures, and (3) dependence structure to the other variable with help of copula-based dependence measures. Finally, we also examined how the four bias-adjustment methods influence the Clausius Clapeyron relation, which serves as an important climatic illustration of the relationship between extreme precipitation and temperature.&lt;/p&gt;