The aims of this study are 1) to analyze the influence of financial compensation, competence, competency, leadership style on the work satisfaction; and 2) to analyze which variables are dominantly affect on dependend varible. The data used are primary data and secondary data. The population in this study were all employees of the Regional Secretariat of the City of Parepare, amounting to 105 people. The sample was determined using the Slovin formula to obtain as many as 83 respondents. Data were collected through observation, questionnaires, and documentation. The data analysis method used descriptive statistical analysis and multiple linear regression using the SPSS program. The result of this study states all hypothesis positevely affect on depende variables.
This study aims to assess farmers' vulnerability, resilience, and adaptation to climate change based on rice ecosystems. The information on vulnerability and adaptation to climate change in rice ecosystems obtained is expected to be helpful and become input for local governments and other stakeholders in making policies to support agricultural activities in regions in Indonesia, especially in the rice ecosystem. This research was conducted for six months, from February to September 2021. The assessment of farmers' vulnerability to climate change in the rice ecosystem uses three elements of exposure: outcrop, sensitivity, and adaptability. The research sample was taken from the rice production center in Takalar Regency, namely North Polombangkeng District. The study results show that the rainy zone is divided into two climates. Only a tiny part of the rice ecosystem community stated that they did not know about climate change. The impacts of climate change that respondents feel include decreased production (food crops and plantations), crop failure (puso) due to drought, and the reduced show that is the most touched by the rice ecosystem community. The cumulative index of sensitivity in the North Polmbangkeng sub-district is different. The categories are rather low class, relatively low class, and medium-class due to each sensitivity indicator's various weights and scores. Based on the value of the cumulative index of vulnerability and adaptive capacity, the three study districts range from vulnerable to very vulnerable. Lassang Village has the highest vulnerability index value (fragile) compared to the other two study districts, so it needs immediate attention.
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