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FACTORS AFFECTING BULLISH IHSG IN COVID 19 PANDEMIC CONDITIONS Yulis Nurul Aini; Ludfi Djajanto; Baroroh Lestari; Maskur
CASHFLOW : CURRENT ADVANCED RESEARCH ON SHARIA FINANCE AND ECONOMIC WORLDWIDE Vol. 2 No. 4 (2023): JULY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/cashflow.v2i4.787

Abstract

The outbreak of the Covid-19 pandemic in early 2020 had profound and far-reaching impacts on global economies and financial markets. As countries implemented lockdowns, travel restrictions, and various other measures to curb the spread of the virus, financial markets experienced unprecedented volatility. The stock markets, in particular, exhibited fluctuations that were both dramatic and complex, challenging traditional understanding and analysis.  This study aims to examine the factors influencing the bullish movement of the Composite Stock Price Index (CSPI) during the Covid-19 pandemic. Drawing data from reputable sources such as the Indonesia Stock Exchange, The Central Bureau of Statistics, and Bank Indonesia, the research focuses on monthly records of the CSPI, inflation rates, and interest rates. Employing multiple regression analysis as the analytical tool, the study explores the intricate relationships between these variables. The findings present intriguing insights into the interplay between economic factors and stock market behavior. Notably, the research reveals a positive and statistically significant link between inflation and the bullish movement of the CSPI amidst the Covid-19 context. This suggests that rising inflation rates are associated with an upward trend in the CSPI. Conversely, the study uncovers a negative correlation between interest rates and the bullish trajectory of the CSPI during the pandemic. Higher interest rates are found to curtail the bullish movement of the index. This study contributes to a deeper understanding of the financial dynamics during challenging periods, offering valuable insights for investors, analysts, and policymakers seeking to navigate the complexities of the stock market amid Covid-19.
Pelatihan Laporan Keuangan Pada Pusat Gamis Dan Hijab Termurah Myzahro Collection Menuju Kemandirian UMKM Yulis Nurul ‘Aini; Baroroh Lestari; Ludfi Djajanto; Evi Suwarni; Yekie Senja Oktora
Journal Of Human And Education (JAHE) Vol. 3 No. 2 (2023): Journal Of Human And Education (JAHE)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jh.v3i2.179

Abstract

Tujuan dari kegiatan ini adalah untuk memfasilitasi berbagi pengetahuan terkait penyusunan laporan keuangan untuk Myzahro Collection. Para pemangku kepentingan menghadapi dua tantangan utama. Pertama, terdapat catatan keuangan yang tidak jelas akibat dari keterlambatan dalam mencatat transaksi keuangan, termasuk pengeluaran dan pendapatan di butik. Kedua, terdapat pengetahuan akuntansi yang minim di kalangan pemangku kepentingan. Solusi yang diusulkan adalah memberikan pelatihan dan bantuan kepada para pemangku kepentingan dalam menyusun laporan-laporan yang komprehensif. Ini meliputi pencatatan transaksi dengan didasarkan pada bukti transaksi, menjalankan pencatatan buku yang akurat, membuat jurnal, dan menyusun laporan keuangan sesuai dengan standar akuntansi yang berlaku.
FORECASTING PRODUKSI PERIKANAN LAUT YANG DIJUAL DI TPI (TON) DENGAN METODE SINGLE EXPONENTIAL SMOOTHING Ivana Larasati Putri Navalina; Nur Indah Riwajanti; Sugeng Sulistyono; Ludfi Djajanto
Media Mahardhika Vol. 18 No. 2 (2020): January 2020
Publisher : STIE Mahardhika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/mahardika.v18i2.149

Abstract

The purpose of this study was to determine the results of forecasting the production of fish sold at TPI in 2018-2020. This is expected to help the government in the formulation of plans and strategies related to the production of marine fish to increase the GRDP of fisheries in Java (regional level) and fisheries GDP in Indonesia (national level) and to contribute in the field of information and macroeconomics. This research used descriptive quantitative research and used data obtained through the official website of the Central Statistics Agency. This study used the Single Exponential Smoothing method. The results of this study have shown that the areas with the lowest sea fish production are in the DI Yogyakarta area, so the government must devise a strategy to maximize fish production in order to increase the PRDB contribution in Yogyakarta.