Peranan Perkebunan Kelapa Sawit Dalam Pembangunan Ekonomi Wilayah  Di Kabupaten Muaro Jambi

Christiani, Elyzabeth; Mara, Armen; naenggolan, Saidin

doi:10.22437/jiseb.v16i2.2782

Cited by 5 publications

(5 citation statements)

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“…The higher the production of plantation crops, the higher the agricultural sector's economic growth, contributing to Indonesia's income. The findings of this study are supported by research indicating that plantation crop production has a significant effect on the GRDP of the agricultural sector [4,6,[13][14][15]. Oil palm is the plantation crop that contributes the most to the agriculture sector's GRDP [9].…”

Section: The Effect Of Plantation Crop Production On the Agrigrdpsupporting

confidence: 62%

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The contribution of agricultural crop production towards the economic growth of Indonesia’s agricultural sector

Fery Purba,

Yulianti,

Astana

et al. 2023

E3S Web of Conf.

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The agricultural sector is annually included in the top three after the manufacturing sector and wholesale and retail trade sectors as Indonesia’s largest contributor to gross domestic product (GDP). The average contribution of the agricultural sector to the country’s income is around 11–13% of total GDP. The GRDP of the agricultural sector (AgriGRDP) is an indicator of the economic growth of Indonesia’s agricultural sector. This study aims to examine the contribution of plantation crop production (PPC), food crop production (PFC), horticultural crop production (PHC), and farmer terms of trade (FTT) to the AgriGRDP. This study uses secondary data sourced from BPS-Statistics Indonesia. This research method uses panel data regression analysis with time series data for 2018–2021 and cross-sectional data from 33 provinces in Indonesia, resulting in 132 observations. The results of this study found that the best econometric model to answer the research objectives is the random effect model (REM). The findings of this study indicate that simultaneously and partially, the variables PPC, PFC, PHC, and FTT have a significant positive effect on AgriGRDP. An increase in PPC, PFC, PHC, and FTT will increase Indonesia’s AgriGRDP.

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Section: The Effect Of Plantation Crop Production On the Agrigrdpsupporting

confidence: 62%

“…These conditions do not necessarily affect the growth of AgriGRDP. AgriGRDP is significantly influenced by plantation crop production (PPC) [4,6,[13][14][15]. Food crop production (PFC), which includes rice, corn, soybeans, and other crops, significantly affects AgriGRDP [5,6,[15][16][17].…”

Section: Introductionmentioning

confidence: 99%

The contribution of agricultural crop production towards the economic growth of Indonesia’s agricultural sector

Fery Purba,

Yulianti,

Astana

et al. 2023

E3S Web of Conf.

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“…Despite the controversy, the development of oil palm plantations has brought economic benefits to many rural communities in Jambi, including job opportunities and increased income. For example, it has induced high absorption of regional labor-in the case of Muaro Jambi Regency, labor absorption reached 28.41% [96]-and has provided a multiplier effect for GRDP [97]. Mara and Fitri [97] found that every increase in income in the palm oil sector of IDR 1 (Indonesian rupiah) will result in an increase in the village's GRDP of IDR 1.417.…”

Section: Policies Inducing Development Progressmentioning

confidence: 99%

Regional Development, Rural Transformation, and Land Use/Cover Changes in a Fast-Growing Oil Palm Region: The Case of Jambi Province, Indonesia

Rustiadi

Pravitasari

Priatama

et al. 2023

Land

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The development policies implemented in Jambi Province, Indonesia, since the New Order era, have encouraged transformations in demography, regional paradigms, growth base sectors, and growth actors. This study aims to understand how the central government’s demographic policies and plantation development program have impacted regional land cover change, rural development transformation, and economic development in Sumatra Island’s biodiversity-rich rainforest region (Jambi Province). This study explores the shifts in village typology that have occurred. Descriptive analysis and cluster analysis were applied to collect data at the provincial level that included population, poverty rate, levels of education, HDI, GRDP, Gini index, and land cover. Village Potential Data at the village level was then used to build an infrastructure index and a diversity of activities index. The results of this study indicated that macro development indicators are in a positive trend: HDI, educational levels, GRDP per capita, and the proportion of the tertiary sector in GRDP have all increased. The growth of the tertiary sector was largely driven by the trade and motorized-vehicle repair sectors. The provincial landscape has changed significantly due to the expansion of oil palm plantations. At the village level, the infrastructure index and diversity index show an increase in the number of facilities and variations in economic activity in most villages. Some shifts in rural typology are highlighted: the increase in urban villages and in villages that specialize in oil palm plantation or other industrial plantation crops.

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“…Economic activities related to the oil palm sector are divided into production, consumption and general distribution in a supply chain. The oil palm sector's potential is reflected in the aspects of earnings and labor (Christiani, Mara, & naenggolan, 2013). The economic potential of this sector lies in how the added-value flow starts in the oil palm supply system or from the procurement of fresh fruit bunch (FFB) at an oil palm plantation.…”

Section: Oil Palm Sector Linkmentioning

confidence: 99%

Applying bag of words approach to determine remote sensing technology acceptance among smallholder plantations

Diana

Farida

2023

AGJSR

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PurposeTechnology acceptance is a measure of that technology’s usefulness. Oil palm is one of the biggest contributors to Indonesia’s revenues, thus fueling its economy. Using remote sensing would allow a plantation to monitor and forecast its production and the amount of fertilizer used. This review aims to provide a policy recommendation in the form of a strategy to improve the added value of Indonesia’s oil palm and support the government in increasing oil palm production. This recommendation needs to be formulated by determining the users’ acceptance of remote sensing technology (state-owned plantations, private plantation companies and smallholder plantations).Design/methodology/approachThis review’s methodology used sentiment analysis through text mining (bag of words model). The study’s primary data were from focus group discussions (FGDs), questionnaires, observations on participants, audio-visual documentation and focused discussions based on group category. The results of interviews and FGDs were transcribed into text and analyzed to 1) find words that can represent the content of the document; 2) classify and determine the frequency (word cloud); and finally 3) analyze the sentiment.FindingsThe result showed that private plantation companies and state-owned plantations had extremely high positive sentiments toward using remote sensing in their oil palm plantations, whereas smallholders had a 60% resistance. However, there is still a possibility for this technology’s adoption by smallholders, provided it is free and easily applied.Research limitations/implicationsBasically, technology is applied to make work easier. However, not everyone is tech-savvy, especially the older generations. One dimension of technology acceptance is user/customer retention. New technology would not be immediately accepted, but there would be user perceptions about its uses and ease. At first, people might be reluctant to accept a new technology due to the perception that it is useless and difficult. Technology acceptance is the gauge of how useful technology is in making work easier compared to conventional ways.Practical implicationsTherefore, technology acceptance needs to be improved among smallholders by intensively socializing the policies, and through dissemination and dedication by academics and the government.Social implicationsThe social implications of using technology are reducing the workforce, but the company will be more profitable and efficient.Originality/valueRemote sensing is one of the topics that people have not taken up in a large way, especially sentiment analysis. Acceptance of technology that utilizes remote sensing for plantations is very useful and efficient. In the end, company profits can be allocated more toward empowering the community and the environment.

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Peranan Perkebunan Kelapa Sawit Dalam Pembangunan Ekonomi Wilayah Di Kabupaten Muaro Jambi

Cited by 5 publications

References 0 publications

The contribution of agricultural crop production towards the economic growth of Indonesia’s agricultural sector

The contribution of agricultural crop production towards the economic growth of Indonesia’s agricultural sector

Regional Development, Rural Transformation, and Land Use/Cover Changes in a Fast-Growing Oil Palm Region: The Case of Jambi Province, Indonesia

Applying bag of words approach to determine remote sensing technology acceptance among smallholder plantations

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