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Model Peningkatan Kinerja Petani Kopi Arabika di Kabupaten Kerinci Kristanto, Raja Bastian; Fitriaty, Fitriaty; Lubis, Tona Aurora
Jurnal Ilmiah Universitas Batanghari Jambi Vol 24, No 2 (2024): Juli
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v24i2.5333

Abstract

This research aims to determine the direct and indirect influence of Supply Chain Management (SCM) on Performance Improvement through Government Policy. This research is quantitative research using a survey research design. The sample in this study consisted of 70 coffee farmers in Kerinci district taken using the Purposive Sampling Technique. The data collection instrument is a questionnaire with a Likert Scale format consisting of five alternative answers. Data from filling out the questionnaire will be analyzed using the Partial Least Square (PLS) technique. The research results show that the SCM has a significant influence on Performance Improvement and Government Policy, the Government Policy variable has a significant influence on Performance Improvement and the Government Policy variable is able to mediate the SCM on Performance Improvement.
Analisis Reaksi Pasar Modal terhadap Groundbreaking Ibu Kota Negara (IKN) pada Saham Perusahaan Sektor Properti dan Konstruksi di Bursa Efek Indonesia Billy Alberto; Tona Aurora Lubis; Fitriaty Fitriaty
Jurnal Manajemen Kewirausahaan dan Teknologi Vol. 2 No. 4 (2025): Desember: Jurnal Manajemen Kewirausahaan dan Teknologi
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jumaket.v2i4.1054

Abstract

This study aims to analyze the capital market reaction to the groundbreaking event of the new capital city (IKN) on the stock prices of property and construction sector companies listed on the Indonesia Stock Exchange (IDX). This research employs a quantitative approach using the event study method with an observation period of 11 days, consisting of 5 days before (t-5), the event day (t), and 5 days after (t+5) the event. The sample includes property and construction sector companies that were actively traded during the observation period. Data analysis was conducted using the Paired Sample t-test through SPSS to examine differences in Abnormal Return (AR), Cumulative Abnormal Return (CAR), and Trading Volume Activity (TVA) before and after the event. The results show that there is no significant difference in AR and TVA, but there is a significant difference in CAR, indicating that the market reacted cumulatively to the groundbreaking IKN information. These findings support the semi-strong form of market efficiency theory, suggesting that the market requires time to fully reflect information into stock prices.
The Effect of Inflation and Interest Rates on Study Stock Prices at Kompas 100 Companies Index in the Covid-19 Period. fitriaty fitriaty
Dinasti International Journal of Education Management And Social Science Vol. 4 No. 5 (2023): Dinasti International Journal of Education Management and Social Science (June
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijemss.v4i5.1947

Abstract

This study aims to examine the effect of inflation and interest rates on stock prices in companies that are members of the Kompas100 index during the Covid-19 pandemic period. This research is a type of quantitative research using regression with the help of SPSS 25.0. The sample for this research is a company that is part of the Kompas 100 Index. This research finds that inflation and interest rates simultaneously have an effect on the price of one share. Based on the partial test, inflation has a positive effect on the Kompas100 company's stock price, while interest rates have a significant negative effect on the Kompas100 company's stock price during the Covid-19 pandemic. The results of this study can be used as a reference for investors to consider inflation and interest rates in making investment decisions and in making regulations.