This study aims to analyze the impact of the monetary and fiscal policy mix on Indonesia's economic growth during the COVID-19 pandemic in the period 2013-2023. Using the Simultaneous Regression method (Two-Stage Least Squares/2SLS), this study tests two simultaneous equations, namely the effect of exports, unemployment rate, and inflation on economic growth (GDP), as well as the effect of exchange rates (exchange rates), interest rates, and GDP on inflation. The results of the study indicate that exports and unemployment have a significant negative effect on economic growth, while inflation has a significant positive effect on GDP. Meanwhile, the exchange rate and interest rate have a significant effect on inflation, but GDP does not have a significant effect on inflation. The normality test shows that the data is normally distributed and the autocorrelation test does not detect any autocorrelation, so the model used is valid. The effectiveness of monetary policy through the exchange rate channel on economic growth was found to be positive, although not statistically significant. This finding emphasizes the importance of coordination between fiscal and monetary policies, maintaining exchange rate stability, controlling inflation, and efforts to restore the real sector and reduce unemployment to support sustainable economic growth in Indonesia. This study provides recommendations for the government and monetary authorities to strengthen policy synergy in facing economic challenges, especially during times of crisis, to ensure more effective national economic stability and recovery.

This study aims to determine the size of the company, and capital structure, on the quality of earnings. The sample in this study is the food and beverage sub-sector manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the 2015-2019 period. Data was collected by the documentation method. The sample selection used a purposive sampling method and obtained 17 companies. Hypothesis testing was carried out using pooled least s-quare data regression analysis method. The results of this study indicate: (1) Firm Size has a positive and significant effect on Earnings Quality and (2) Capital Structure has a negative and insignificant effect on Earnings Quality. by 45% influenced by other factors not described in this study.

Stunting is a public health issue that can adversely affect children's growth and future prospects. Stunting poses a threat to the achievement of the second global Sustainable Development Goal (SDG). One effort to address this problem is by providing knowledge to the community about stunting. This effort can be pursued through activities such as stunting seminars. A seminar was held in Kedungjambe Village on November 20, 2024, with the theme "United Against Stunting: Realizing a Golden Generation." The methods employed included observation, solution formulation and planning, implementation, and evaluation. The outcome of this community engagement activity showed high enthusiasm among seminar participants regarding stunting issues, accompanied by a solid understanding of the material presented.

Salah satu cara untuk mengurangi depresi yaitu dengan terapi sosial. Tujuan penelitian ini adalah mengurangi tingkat depresi lansia melalui terapi sosial permainan dan kerajinan tangan di Desa Kenteng dan Randoares. Metode kualitatif dilakukan pada 60 responden dengan kriteria berusia ? 60 tahun yang berada di Desa Kenteng (RT 1,2) dan Randoares (RT 1, 2, 3) Salatiga, jarak rumah lansia ke toko bahan pangan dan sembako <1 km. Kuesioner Geriatric Depression Scale menggunakan aplikasi kobotoolbox dan Device Magic pada handphone, alat pengukur kadar gula darah, tensimeter, midline, mikrotoa dan timbangan badan digital digunakan sebagai alat analisa.  Lansia di Desa Kenteng dan Randoares Salatiga berkemungkinan mengalami resiko depresi 93% dan depresi 5%. Program terapi sosial 20 kegiatan berupa permainan dan pembuatan kerajinan tangan adalah salah satu cara yang dapat dilakukan untuk mengurangi resiko depresi pada lansia.

This research aims to analyze the influence of exchange rate, exports, and  imports on Indonesia's foreign exchange reserves in the period of 1992-2021. The dependent variable is foreign exchange reserves, whereas the independent variables consist of exchange rate, exports, and imports. The research uses secondary data in time series obtained from Indonesia’s World Bank Data. Data are analyzed with VAR (Vector Auto Regression), those analyzed use E-Views 10 apss by including analysis method, which includes stationary tests, stability tests, optimum lag tests, cointegration tests, VAR estimation tests, Engle Granger causality tests, Impulse Response Function (IRF) tests, and Variance Decomposition (VD) tests. The results of the study show that exchange rate variables have a large influence on foreign exchange reserves, while export and import variables have a small effect on foreign exchange reserves.