This study analyzes the health level of banks using the Risk-Based Bank Rating (RBBR) method. The secondary data used in this study was taken from the Financial Statements of PT Bank Mega Syariah on the official website of PT Bank Mega Syariah for the period 2017-2021. The Risk-Based Bank Rating (RBBR) method based on BI Circular No. 13/24/DPNP uses Risk Profile, Earning and Capital assessments. The method used in this research is descriptive research method with a quantitative approach. The results show that the Risk Profile component calculated using the NPF ratio in 2017 was 2.75 percent, in 2018 it was 1.96 percent, in 2019 it was 1.49 percent, in 2020 it was 1.38 percent and in 2021. by 0.97 percent. In addition, the FDR ratio in 2017 was 91.05 percent, in 2018 it was 90.88 percent, in 2019 it was 94.53 percent, in 2020 it was 63.94 percent, and in 2021 it was 62.84 percent. In the Earning component calculated using the ROA ratio in 2017 it was 1.56 percent, in 2018 it was 0.93 percent, in 2019 it was 0.89 percent, in 2020 it was 1.74 percent and in 2021 it was 4.08 percent. In addition, the NIM ratio in 2017 was 6.03 percent, in 2018 it was 5.52 percent, in 2019 it was 5.36 percent, in 2020 it was 4.97 percent and in 2021 it was 4.35 percent. For the capital component calculated using the CAR ratio in 2017 it was 22.19 percent, in 2018 it was 20.54 percent, in 2019 it was 19.96 percent, in 2020 it was 24.15 percent and in 2021 it was 25.59 percent. From the results of the study, it is known that the ratio of ROA shows poor results.

The purpose of this study is to describe the phenomenon of scarcity of cooking oil supply in Indonesia in 2022 using a descriptive analysis model through published data where the findings of this study are the cause of the scarcity of Indonesian cooking oil supply in general, due to producers experiencing a decline in marketing cooking oil in the country, the price of CPO in Indonesia. the world market is experiencing price increases, the B30 Program is a government program to make it mandatory to mix 30 percent diesel with 70 percent diesel fuel. There is a shift towards biodiesel production. The third factor is the unfinished condition of the Covid-19 pandemic So that the right solution to overcome the scarcity of cooking oil is to maintain the stability of CPO production and the prevailing pricing mechanism and by strengthening the role of BULOG.

Tujuan penelitian ini adalah untuk menganalisis volume penjualan gas alam melalui saluran pipa menurut jenis pelanggan (mmscf) di indonesia, 2010-2020. Perkembangan volume penjualan Gas Alam Melalui Saluran Pipa Menurut Jenis Pelanggan (MMSCF) di Indonesia, 2010-2020 adalah rata-rata sebesar 5,08% dengan rata-rata volume penjualan gas Alam Melalui Saluran Pipa Menurut Jenis Pelanggan (MMSCF) di Indonesia adalah sebesar 326.837 ton dimana untuk kondisi perkembangan volume penjualan gas Alam Melalui Saluran Pipa Menurut Jenis Pelanggan (MMSCF) di Indonesia paling tinggi terjadi pada tahun 2012 yaitu sebesar 21,82% atau dengan nilai volume sebesar 300.556 ton meningkat tajam dibandingkan tahun 2011 yaitu sebesar 212.975 ton. Sedangkan untuk kondisi volume penjualan gas Alam Melalui Saluran Pipa Menurut Jenis Pelanggan (MMSCF) di Indonesia paling rendah terjadi pada  tahun  2020  yaitu  sebesar  12,47%  atau  dengan  nilai  volume  sebesar 333.315 ton. Volume penjualan Gas Alam Melalui Saluran Pipa Menurut Jenis Pelanggan (MMSCF) di Indonesia, 2010-2020 yang paling tinggi terdapat pelanggan industry yaitu sebesar 85,46% sedangkan untuk nilai kontribusi paling rendah untuk jenis pelanggan terhadap volume penjualan Gas Alam Melalui Saluran Pipa Menurut Jenis Pelanggan (MMSCF) di Indonesia, 2010-2020 terdapat di rumah  tangga  yaitu  sebesar  0,23%  disusul  pelanggan SPBE/SPBG  yaitu sebesar 0,41%.

This study aims to map the effect of premiums and investments on the profits of Islamic insurance companies. In research using the Systematic Literature Review method, eight articles out of 200 matched the criteria, with search strings from 2018 to 2022. The results showed that (RQ1) the problems contained in research journals varied, namely differences in results from previous studies on Premiums, Investment Returns, and Profits, as well as the decline in profits of Islamic insurance companies. In the research conducted by Alifia Nur Afifah and Anniza Citra Prajasari (2022), there are problems of inconsistency with the results of the previous study on premiums and profitability. In a study conducted by Ridwan Tabe et al. (2018), there are problems with the decline in net profit of the Panin Dai-ichi Life Sharia insurance company. And research conducted by Nur Indah et al. (2021) showed there needs to be more consistency in previous research between premiums for profits and investment for gains. (RQ2) The research method that is often used is the quantitative method; this method is very relevant because quantitative research looks at the "Facts/Truth" that are in the research object out there, and the researcher must be neutral about whatever is found in the field and be impartial. Furthermore, the results of the research question (RQ3) Every year and even in 2022, some journals discuss the effect of premiums and investments on the profits of Islamic companies.

This study aims to examine and analyze the effect of the human development index, population growth and the open unemployment rate on the poverty rate in Jambi Province. The type of data used in this study is quantitative data, while the source of data used in this study is secondary data from BPS Jambi Province. The object of this research is Jambi Province. This study uses time series data for 12 years, starting from 2010 to 2021. The analytical method used is multiple linear regression. The estimation results show that simultaneously the independent variables, namely the human development index, population growth and the open unemployment rate have a significant influence on the poverty level with a Prob value (F-statistic) of 0.00001. Partially, the independent variable human development index has a positive and significant effect on the poverty level in Jambi Province with a T value of 2.371967 and a probability value of 0.0451 or less than β0 = 0.05 (0.0451 < 0.05) and population growth has a positive and significant effect on the poverty rate in Jambi Province with a T count value of 2.235197 with a probability of 0.0558 or greater than β0 = 0.05 (0.0558 < 0.05), while the open unemployment rate has a negative and significant effect on the poverty rate in Jambi Province, the T count value is -1.541635 with a probability of 0.0356 or less than β0 = 0.05 (0.0356< 0.05).