The purpose of this research is to analyze and find out the sectors that include the base sector, changes and shifts in the economic sector and the classification of growth in the economic sector in the Mamminasata region, South Sulawesi. Data analysis methods are Location Quotient (LQ), Shift Share, and Klassen Typology analysis from secondary data which is time series data for the last 4 years (2018-2021) of the Central Bureau of Statistics of South Sulawesi. 1). The results of the Location Quotient index analysis (LQ>1), the sector which was the base sector before (2018-2019) and during the Covid-19 pandemic (2020-2021), namely: manufacturing industry; water supply, waste management, waste and recycling; construction; wholesale and retail trade, repair of cars and motorcycles; transportation and warehousing; provision of accommodation and food and drink; information and communication; financial and insurance services; real estate; company services; educational services; health services and social activities; and other services. 2). The results of the Shift Share analysis show that the specialized sectors grew rapidly (positive proportional shift) prior to the Covid-19 pandemic (2018-2019), namely: the manufacturing industry; construction; wholesale and retail trade, repair of cars and motorcycles; information and communication; company services; government administration, defense, and compulsory social security; educational services; health services and social activities; and other services. Meanwhile, when the Covid-19 pandemic occurred (2020-201), namely: agriculture, forestry, and fisheries; procurement of electricity and gas; wholesale and retail trade, repair of cars and motorcycles; transportation and warehousing; information and communication; company services; health services and social activities; and other services. The sectors that had high competitiveness or competitive (differential shift) before the Covid-19 pandemic (2018-2019), namely: agriculture, forestry, and fisheries; mining and excavation; procurement of electricity and gas; construction; wholesale and retail trade, repair of cars and motorcycles; provision of accommodation and food and drink; real estate; company services; health services and social activities; and other services. Meanwhile, during the Covid-19 pandemic (2020-2021), namely: agriculture, forestry, and fisheries; mining and excavation; processing industry; construction; real estate; government administration, defense, and compulsory social security; and other services. 3) The results of the Klassen Typology analysis, sectors that were classified as developed and growing fast (quadrant I) before the Covid-19 pandemic (2018-2019), namely: construction; wholesale and retail trade, repair of cars and motorcycles; provision of accommodation and food and drink; real estate; company services; educational services; health services and social activities; and other services. Meanwhile, when the Covid-19 pandemic occurred (2020-201), namely: the processing industry; construction; and health services and social activities.

The study aims to analyze the effect of financial inclusion and macroeconomic indicators on financial system stability in Indonesia. The study uses secondary data obtained from Bank Indonesia, World Bank, International Monetary Fund (IMF) and other sources. The data used is a quarterly time series data from 2007Q1 to 2017Q4 in Indonesia. The method of data analysis is done by building an index to obtain the value of the index, a descriptive analysis of the movement of the index to describe the condition of Indonesia’s financial system stability during the evaluation period based the index value obtained. Econometric validation of index by analyzing the effect of financial inclusion and macroeconomicindicators on the stability of the Indonesia’s financial system using Error Correction Model (ECM). The movement of the index is fluctuating shows that in general financial system stability in Indonesia during the observation period is in the corridor of unstable conditions. The results show that financial inclusion in the short term does not affect financial system stability, but in the long run has a significant influence. GDP, IHSG and nominal exchange rate has a positive and significant influence in creating good financial system stability. The growth of the money supply (M2) has a negative and significant influence on the stability of the Indonesian financial system.

Indonesia memiliki banyak jenis buah jeruk lokal. Pada umumnya memiliki pH antara 2,46 - 2,48 dan berpotensi sebagai koagulan alami. Tujuan dari penelitian ini adalah untuk mendapatkan jenis buah jeruk lokal yang dapat menghasilkan rendemen sari tempe secara optimal. Rendemen sari tempe ditentukan melalui uji kimia (derajat keasaman, kadar protein, dan rendemen). Uji organoleptik menggunakan analisis deskripsi kualitatif dengan menggunakan kuesioner aroma, warna, tekstur dan rasa. Hasil penelitian menunjukkan bahwa jenis koagulan tidak berpengaruh nyata terhadap performa/kinerja dari koagulasi sari tempe, dimana >0,05 pada uji kimia yaitu derajat keasaman, kadar protein, rendemen dan uji organoleptik, sedangkan konsentrasi koagulan berpengaruh nyata terhadap performa/kinerja koagulasi sari tempe, dimana <0,05 pada uji kimia (derajat keasaman, rendemen) dan pada uji organoleptik (aroma, tekstur dan rasa). Selain itu, konsentrasi koagulan tidak berpengaruh nyata terhadap performa/kinerja koagulasi sari tempe, dimana >0,05 pada uji kimia (kadar protein) dan uji organoleptik (warna). Sedangkan interaksi antara jenis dan konsentrasi koagulan tidak berpengaruh nyata terhadap performa/kinerja koagulasi sari tempe, dimana >0,05 pada uji kimia dan uji organoleptik

Foreign exchange reserves are interpreted as part of national savings and are a very important monetary indicator to show the strength or weakness of the country's economic fundamentals. Foreign exchange reserves is influenced by various factors, including; external debt, exports, imports, investment, and balance of payments. The purpose of this study is to analyze the determination (degree of influence) of factors of foreign debt, import exports, FDI, exchange rates, on foreign exchange reserves through and balance of payments (BOP). The research method used is a quantitative research method with secondary data types in the form of data series with a period of 12 years (2011-2022). The data analysis method used is path analysis. With the help of E-views software. The results of the analysis p there is a structure/path I obtained that the exchange rate variable has a real effect on the BOP (balance sheet), In the structure/path I it is obtained that the exchange rate variable has a real effect on the BOP. While simultaneously (together) it is known that the variables X1, X2, X3, X4, and X5 not significant effect on Y1 (balance of payments). The results of the structure/path II analysis found that the external debt variable had a real effect on the country's foreign exchange reserves, and simultaneously (together) it was known that the variables X1, X2, X3, X4, X5 and X6/Y1 had a real effect on Y2 (foreign exchange reserves). In addition, it was also found that the balance of payments /BOP variable as an intervening variable did not have a real effect on foreign exchange reserves.