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Perkembangan Ekspor Minyak Kelapa Sawit (Crude Palm Oil) Indonesia Yumna, Hartsa Fayi; Perdana, Putra
Jurnal Ilmiah Wahana Pendidikan Vol 9 No 21 (2023): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10077141

Abstract

This research provides a comprehensive overview of the development of both the import and export of Crude Palm Oil (CPO), aiming to demonstrate the potential and contribution of the Palm Oil industry in Indonesia. The study employs a quantitative descriptive research design. The focus of the research is on the export development over a one-year period from March 2022 to March 2023. The data used in this study are secondary data obtained from the Central Bureau of Statistics (BPS), Trademap, and the Indonesian Palm Oil Association (GAPKI). After analyzing the data, it is evident that Palm Oil is a crucial commodity for Indonesia. However, the export of Palm Oil in Indonesia experienced a decline during the period from March 2022 to March 2023. Sumatra is the island with the largest production and land area for Palm Oil in Indonesia. Additionally, India is the primary export destination for Indonesian Palm Oil.
TECHNICAL ANALYSIS FOR BUY OR SELL DECISIONS IN CRYPTOCURRENCY (BITCOIN): University Pembangunan Nasional Veteran East Java, Surabaya Yumna, Hartsa Fayi; Taufiq, Muhammad; Utami, Anisa Fitria
Jurnal Ekonomi Bisnis Manajemen dan Akuntansi (JEBISMA) Vol 2 No 2 (2024): Desember 2024
Publisher : PT. Media Edutama Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70197/jebisma.v2i2.68

Abstract

The purpose of this study is to determine how to provide recommendations for buy or sell decisions based on the price movements of cryptocurrency using technical analysis. This study employs a qualitative approach because the goal is to deeply and thoroughly understand the technical patterns in Bitcoin price charts to make informed buy and sell decisions. In this research, the data analysis technique used is Content Analysis. Content analysis is a research method that allows for the subjective interpretation of various types of data through a systematic classification process and the identification of themes or patterns. In conclusion, the technical patterns identified during the period from June 2022 to October 2023 provide strong signals for buy decisions. The combination of volume confirmation, price movements above the 200-day moving average, chart patterns, breakouts, major trend patterns, and the integration of supporting theories provides a solid foundation for this analysis and reinforces the confidence that prices are likely to rise.