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All Journal Pelita Perkebunan Agro Ekonomi Agriecobis : Journal of Agricultural Socioeconomics and Business
Adyanti, Amanda Sekar
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Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Environmental Science Social Sciences

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Determinants of Indonesia's Plantation Commodities Trade Flows with ASEAN: Insights from a Gravity Model Approach Yafi, Muhammad Ali; Adyanti, Amanda Sekar
Agriecobis : Journal of Agricultural Socioeconomics and Business Vol. 7 No. 02 (2024): October
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/agriecobis.v7i02.34907

Abstract

The trade relationship between Indonesia and ASEAN countries in plantation products exhibits fluctuations in export and import activities. This study aims to identify the factors influencing Indonesia’s Plantation Commodities Trade Flows with ASEAN countries. The research utilizes secondary data from eight ASEAN countries-Indonesia, Cambodia, Malaysia, Singapore, Thailand, Vietnam, Myanmar, and the Philippines-over a 15-year period (2008–2022). A panel data regression analysis, based on the Gravity Model, was conducted to achieve the research objectives. The variables examined include Indonesia’s Plantation Commodities Trade Flows, Indonesia's GDP, partner countries' GDP, exchange rates, economic distance, population, and inflation. The analysis revealed that fluctuations in Indonesia’s Plantation Commodities Trade Flows are driven by variations in export and import values. The regression results identified Indonesia's GDP, partner countries' GDP, economic distance, and exchange rates as significant factors affecting trade flows, while population and inflation had no significant impact.
The Role of Cocoa Commodity as a Base Sector in Indonesia’s Regional Development Adyanti, Amanda Sekar; Aji, Joni Murti Mulyo; Hani, Evita Soliha
Pelita Perkebunan (a Coffee and Cocoa Research Journal) Vol. 41 No. 2 (2025)
Publisher : Indonesian Coffee and Cocoa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22302/iccri.jur.pelitaperkebunan.v41i2.651

Abstract

Indonesia’s cocoa commodity as one of the leading commodities, has the potential to improve the country’s economy. However, the increasing export volume is not matched by the decreasing production due to the decreasing land area. This study aims to identify the mapping of cocoa regions, identify the structure and growth rate of cocoa, and examine the role of cocoa in supporting Indonesia’s plantation activities. The research was conducted in 33 provinces of Indonesia using secondary data. The variables used are production and revenue of cocoa and plantation commodities in 2017-2023. The analytical tools used are Location Quotient (LQ), Dynamic Location Quotient (DLQ), Localisation and Specialisation analysis, Shift Share analysis (SSA), BSR analysis, RM, and Multiplier Effect. The results obtained from as many as 19 provinces are included in the base area with an LQ>1 value. The cocoa growth rate structure obtained that the value of National growth (PNij) is positive, Proportional growth (PPij) is negative, and Regional share growth (PPWij) is negative, so the average shift share value is positive and it is said that Indonesian cocoa is growing. The results of the analysis of the value of BSR, RM, and Multiplier Effect are positive so that Indonesian cocoa plays a role in supporting Indonesian plantations.
Modelling the Relationship between Rice Price, Rice Production, Exchange Rate, and Rice Import in Indonesia Yafi, Muhammad Ali; Adyanti, Amanda Sekar; Purwanti, Amanda Anggi
Agro Ekonomi Vol 36 (2025): ARTICLE IN PRESS
Publisher : Department of Agricultural Socio-Economics Faculty of Agriculture Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ae.100774

Abstract

Rice is a strategic food commodity for Indonesia. Most Indonesians, 95 percent consume rice as their staple food. However, Indonesia still imports rice to fulfil its domestic rice needs. Dependence on imports is neither good for the short term nor the long term. The purpose of this study is to see the relationship of rice price, rice production, exchange rate to Indonesia's rice import. The data used is time series data with monthly frequency from January 2019 to December 2023 taken from ITC Trade Map, Central Statistic Agency, and Bank Indonesia. The analysis method uses a Vector Error Correction Model (VECM) approach that can provide short-term and long-term information through several tests. The results showed that in the long run the exchange rate and rice production have a negative influence on rice imports. While in the short term, the variables that affect rice imports are the import variable itself and the price of rice in the previous 2 periods, as well as rice production in 1 previous period. The significant influence of rice production requires the government to pay attention to the stock and the amount of imports in balance. Exchange rate, rice price, and rice production variables respond relatively quickly to rice imports. The rice import variable has a large enough proportion in influencing itself followed by the exchange rate, and rice production which has a greater influence each period. 
Mapping and Future Potential of Cocoa Commodity Base Regions in Indonesia Adyanti, Amanda Sekar; Aji, Joni Murti Mulyo; Hani, Evita Soliha
Agro Ekonomi Vol 36 (2025): ARTICLE IN PRESS
Publisher : Department of Agricultural Socio-Economics Faculty of Agriculture Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ae.103907

Abstract

Cocoa is a prominent global export with strong competitiveness in the international market. During the 2019-2022 period, there was positive growth in cocoa exports while domestic cocoa production declined. The variability of cocoa production across provinces is due to the different levels of cocoa development in each region. This study aims to map cocoa base and non base regions in Indonesia and examine the characteristics of cocoa distribution across the provinces of Indonesia. This study is important because there have been limited studies about regional mapping of cocoa at the national level. It is also important to know the condition of regional mapping in the future. The regions observed in this study include 33 provinces in Indonesia that produce cocoa. The study uses secondary data which includes variables related to cocoa production and production of superior plantation commodities for seven years (2017-2023). The analysis used to answer the primary objective is Location Quotient (LQ) and Dynamic Location Quotient (DLQ) analysis, while the secondary objective uses Localisation and Specialisation analysis. The findings reveal 10 provinces as cocoa base regions, with Southeast Sulawesi exhibiting the highest LQ. North Sulawesi province has been identified as potential areas for future development. While 18 provinces have shifted from base regions to non base regions or are not prospective in the future. Localisation and Specialisation indices below 1 indicate that cocoa cultivation is geographically dispersed, with no single region dominating production.
Predictive Trends of Major Food Prices in Indonesia: A Deep Learning Approach to Time Series Forecasting Yafi, Muhammad Ali; Maharani, Mutiara Ria Despita; Nabilla, Nur Afra; Adyanti, Amanda Sekar
Agro Ekonomi Vol 36 (2025): ARTICLE IN PRESS
Publisher : Department of Agricultural Socio-Economics Faculty of Agriculture Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ae.104454

Abstract

Price uncertainty in food commodities will have an impact on people's food consumption. Prediction of future prices is necessary to serve as a policy reference in overcoming price fluctuations. The purpose of the study is to predict the price of major agricultural food in Indonesia in 2023-2029. The research uses time series data from 1990-2022 with price variables of corn, onion red chilli, beef, and chicken. The analytical tool used to answer the research objectives is the Autoregressive Integrated Moving Average (ARIMA) model. The results of the analysis obtained the best model for predicting price forecasts, namely ARIMA on corn commodities (1,1,0), shallots (2,1,0), red chillies (1,1,0), beef (0,1,1), and chicken meat (1,1,1). The results of the prediction of the price of Indonesia's food needs in 2023-2029 as a whole tend to increase.
Co-Authors Evita Soliha Hani Joni Murti Mulyo Aji Maharani, Mutiara Ria Despita Nabilla, Nur Afra Purwanti, Amanda Anggi YAFI, MUHAMMAD ALI