scholarly journals GROWTH PROFILE ANALYSIS OF OIL PALM BY USING SPOT 6 THE CASE OF NORTH SUMATRA

2017 ◽  
Vol 12 (1) ◽  
pp. 21
Author(s):  
Ita Carolita ◽  
J. Sitorus ◽  
Johannes Manalu ◽  
Dhimas Wiratmoko
Keyword(s):  
Regression Analysis ◽  
High Resolution ◽  
Satellite Data ◽  
Oil Palm ◽  
Elaeis Guineensis ◽  
Profile Analysis ◽  
Secondary Data ◽  
Profile Data ◽  
Growth Profile ◽  
North Sumatra

Oil Palm (Elaeis guineensis Jack.) is one of the world’s most important tropical tree crops. Its expansion has been reported to cause widespread environment impacts. SPOT 6 data is one of high resolution satellite data that can give information more detail about vegetation and the age of oil palm plantation. The objective of this study was to analyze the growth profile of oil palm and to estimate the productivity age of oil palm. The study area is PTP N 3 in Tebing Tinggi North Sumatera Indonesia.  The method that used is NDVI analysis and regression analysis for getting the model of oil palm growth profile. Data from the field were collected as the secondary data to build that model. The data that collected were age of oil palm and diameters of canopy for every age.   Results indicate that oil palm growth can be explained by variation of NDVI with formula y = -0.0004x2 + 0.0107x + 0.3912, where x is oil palm age and  Y is NDVI of SPOT, with R² = 0.657. This equation can be used to predict the age of oil palm for range 4 to 11 years with R2 around 0.89.

scholarly journals Factors Affecting Productivity of Oil Palm (Elaeis guineensis Jacq.) at Various Afdelings in Bah Jambi Farm PT. Perkebunan Nusantara IV

2022 ◽  
Vol 9 (1) ◽  
pp. 99-110
Author(s):  
Amir Fhad Sastranegara Harahap ◽  
Mochammad Munir
Keyword(s):  
Oil Palm ◽  
Elaeis Guineensis ◽  
Light Exposure ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Exchange Capacity ◽  
Coefficient Of Determination ◽  
Organic C ◽  
Factors Affecting ◽  
North Sumatra

North Sumatra Province, where the second-highest oil palm productivity in Indonesia, has successfully reached fresh fruit bunches (FFB) production of 5,775,631.82 tons in 2016. However, the level of oil palm productivity tends to be unstable and low. The purpose of this study was to identify and analyze factors influencing the level of oil palm productivity at the Bah Jambi Plantation PTPN IV, Simalungun Regency, North Sumatra Province. The method used in this study was the qualitative descriptive analysis method by collecting secondary data at research locations at 4 Afdeling Kebun Bah Jambi PT. Nusantara IV Plantation. The results of correlation and regression analysis showed that soil factor such as organic C, soil pH, cation exchange capacity and the availability of soil N, P, K and Mg is the most dominant factors in influencing the amount of oil palm productivity which have determination coefficient (R2) more than 90%. Meanwhile, climate factors such as evapotranspiration, duration of light exposure, wind speed and rainfall have the most role in influencing oil palm productivity which has a coefficient of determination (R2) of 95%, 94%, 88% and 33%.

scholarly journals The development of unlabeled probes-high resolution melting (UP-HRM) marker on SAD, IAA27 and ACC genes of oil palm

2021 ◽  
Vol 22 (6) ◽  
Author(s):  
TENGKU IMAM SAPUTRA ◽  
ROBERDI ROBERDI ◽  
YOGO ADHI NUGROHO ◽  
WULAN ARTUTININGSIH ◽  
OLIVIA S. PURBA ◽  
...  
Keyword(s):  
High Resolution ◽  
Oil Palm ◽  
High Resolution Melting ◽  
Elaeis Guineensis ◽  
Acyl Carrier Protein ◽  
Nucleotide Polymorphisms ◽  
Snp Discovery ◽  
Single Nucleotide ◽  
Elaeis Oleifera ◽  
Genotype Model

Abstract. Saputra TI, Roberdi, Nugroho YA, Artutiningsih W, Purba OS, Maryanto SD, Yono D, Utomo C, Liwang T. 2021. The development of unlabeled probes-high resolution melting (UP-HRM) marker on SAD, IAA27 and ACC genes of oil palm. Biodiversitas 22: 3356-3362. The unlabeled probes-high resolution melting (UP-HRM) marker is a useful tool for detecting of single nucleotide polymorphisms (SNPs). The objectives of this study were to develop UP-HRM markers to differentiate specific SNPs patterns on oil palm. The marker was developed and tested with Elaeis guineensis (Eg), Elaeis oleifera (Eo), Eo x Eg (hybrid), and was validated with 53 individuals of BC1F1 populations ((Eo x Eg) x Eg). Four UP-HRM markers were developed based on 2 SNPs in the stearoyl-acyl-carrier-protein 9-desaturase (EgSAD), 1 SNP in the auxin-responsive protein IAA27-like (EgIAA27), and 1 SNP in the 1-amino cyclopropane-1-carboxylate oxidase (EgACC) genes. The SNP discovery result showed that Eg was represented a reference homozygote genotype, while Eo was represented as an alternative homozygote genotype and the Eo x Eg hybrid was represented as a heterozygote genotype in all genes. The typical UP-HRM melt curve graph was successfully generated. This result was consistent with each genotype model for all four markers. The UP-HRM markers can distinguish each genotype according to the single-pass sequencing results. Furthermore, dendrogram analysis on validation divided 53 BC1F1 samples into three cluster groups.

scholarly journals Sustainable management of smallholder oil palm farming during the COVID-19 pandemic

2021 ◽  
Vol 892 (1) ◽  
pp. 012064
Author(s):  
H L Nainggolan ◽  
W S S Waruwu ◽  
C K Gulo ◽  
R C Doloksaribu ◽  
T M H Siahaan
Keyword(s):  
Oil Palm ◽  
Sustainable Management ◽  
Agricultural Sector ◽  
Negative Impact ◽  
Secondary Data ◽  
Production Costs ◽  
Organic Fertilizers ◽  
Ecological Conservation ◽  
The Government ◽  
North Sumatra

Abstract The emergence of the CoronaVirus Disease in 2019, until now has had a negative impact on various sectors of people’s lives including the agricultural sector. Smallholder oil palm farming has also experienced a negative impact due the pandemic. This research aims to knowing the situation of smallholder oil palm farming before and during pandemic; and to knowing the readiness of farmers to manage smallholder oil palm farming; and to knowing the sustainability of the management of smallholder oil palm farming during the pandemic. This research was conducted in STM Hilir Subdistrict, Deli Serdang District, North Sumatra, Indonesia, which was carried out in September - December 2020. The data used were primary and secondary data which were analyzed descriptively with income analysis method and simple tabulation. Based on the results of data analysis, concluded: smallholder oil palm farming during the COVID-19 pandemic was not stable, due to an increase in production costs of 20.2%/month, and a decrease income of farmers by 6.69%/harvest season/ha. In period of COVID-19 pandemic-19 59% of farmers said they are ready to develop their farming in a sustainable manner. Sustainable management smallholder oil palm farming during the pandemic is going well, based on indicators of ecological conservation, where farmers tend to use organic fertilizers. In accordance with the results of the study suggested; so that the government provides continuous counseling to farmers, provides incentives, subsidies for production facilities for farmers, so that farmers continue to apply health protocols in carrying out their farming activities.

scholarly journals Cluster analysis of polyisoprenoid in oil palm (Elaeis guineensis) leaves in different land-uses to find the possible cause of yield gap from planting materials

2018 ◽  
Vol 19 (4) ◽  
pp. 1492-1501 ◽  
Author(s):  
MOHAMMAD BASYUNI ◽  
RIDHA WATI ◽  
IRMA DENI ◽  
ANANDA RATU TIA ◽  
ETTI SARTINA SIREGAR ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Oil Palm ◽  
Paddy Field ◽  
Elaeis Guineensis ◽  
Type I ◽  
Land Uses ◽  
Yield Gap ◽  
Planting Materials ◽  
North Sumatra ◽  
Possible Cause

 Basyuni M, Wati R, Deni I, Tia AR, Slamet B, Siregar ES, Syahputra I. 2018. Cluster analysis of polyisoprenoid in oil palm(Elaeis guineensis) leaves in different land-uses to find the possible cause of yield gap from planting materials. Biodiversitas 19: 1492-1501. The distribution and occurrence of polyprenols and dolichols in the leaves of oil palm (Elaeis guineensis Jacq.) plantations indifferent land-uses in North Sumatra, Indonesia were analyzed using two-dimensional thin layer chromatography (2D-TLC). Eighty-oneof oil palm leaves were sampled to represent twenty-seven sites of land-uses, namely paddy field (four locations), mangrove (threelocations) in Lubuk Kertang, Langkat, North Sumatra. In addition, samples from four groups of smallholders in Stabat, Langkat, sixsites in Bangun Bandar, Serdang Bedagai, and ten sites on the campus of Universitas Sumatera Utara (USU), North Sumatra werecollected. In the leaves, only one type (type II) with respect to the distribution of polyisoprenoids was detected: having the presence ofboth polyprenols and dolichols. Either type I, having predominance of dolichols over polyprenols or type III, displaying dominatingpolyprenols over dolichols were not observed. Results also showed that chain-length distribution of ficaprenols (C50-C60) without longerpolyprenols (C85-C100) and dolichols of C85-C100 was detected in the paddy field, mangroves, and one site in USU campus. Thispolyisoprenoid profile was close to dura type of Elaeis guineensis. By contrast, the remaining land-uses had ficaprenols and longerpolyprenols, and dolichols (C85-C100), which belong to tenera or pisifera type. To confirm this finding, a dendrogram was constructed.Cluster analysis demonstrated that twenty-seven sites of E. guineensis were grouped into appropriate types of dura, pifiera, and teneraaccordingly, indicating that the existence of polyisoprenoids in E. guineensis was a chemotaxonomic marker. The finding ofpolyisoprenoid pattern of E. guineensis as dura type in mangrove and paddy field sites may reveal significant causes of yield gap in oilpalm plantation from planting materials.

scholarly journals STRATEGI PENGEMBANGAN SISTEM AGRIBISNIS KELAPA SAWIT (Elaeis Guineensis Jacq) DI KABUPATEN LABUHAN BATU UTARA

2021 ◽  
Vol 1 (1) ◽  
pp. 23
Author(s):  
Bambang Hermanto ◽  
Sri Wahyuni
Keyword(s):  
Factor Analysis ◽  
Development Strategy ◽  
Oil Palm ◽  
Swot Analysis ◽  
Elaeis Guineensis ◽  
System Development ◽  
Secondary Data ◽  
Primary Data ◽  
Diversification Strategy ◽  
Elaeis Guineensis Jacq

The purpose of this research is to find out what are the strengths, weaknesses, opportunities, and threats in the strategy of developing an oil palm agribusiness system (Elaeis Guineensis Jacq) in North Labuhan Batu Regency. The sampling research method used is purposive sampling method. The data used are primary data and secondary data. The analytical method used is descriptive quantitative method using SWOT analysis by analyzing the IFAS (Internal Factor Analysis Summary) and EFAS (External Factor Analysis Summary) factors. The results showed that using the SWOT diagram matrix, the oil palm agribusiness system development strategy was found in area II (Diversification Strategy). The situation in area II is a situation where farmers have to change their previous strategy, because the development of oil palm faces various threats but oil palm farmers still have internal strength. The focus of the strategy is to take action using strengths to take advantage of long-term opportunities by means of product and market diversification strategies.

scholarly journals The Analysis of the Effect of Determinant Factors of Palm Oil Plantation Sector on Agricultural Sector Growth in North Sumatera

2020 ◽  
Vol 3 (2) ◽  
pp. 1083-1094
Author(s):  
Ali Sandy Hasibuan ◽  
Fitrawaty Fitrawaty ◽  
M. Fitri Rahmadana
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Least Square Method ◽  
Least Square ◽  
Estimation Model ◽  
Ordinary Least Square ◽  
Negative Effect ◽  
North Sumatra

This study aims to analyze the influence of the area of oil palm plantations, oil palm production, and the number of the agricultural sector workforce on the agricultural sector PDRB in North Sumatra province. The data used are secondary data sourced from BPS North Sumatra province, namely PDRB variable in the agricultural sector, area of oil palm, palm oil production and the number of agricultural sector workforce in North Sumatra province in time series from 2008 to.d. 2017 in five districts namely, Asahan, Langkat, Labuhanbatu Utara, Labuhanbatu Selatan and Labuhan Batu districts. Data analysis was performed using the OLS (Ordinary Least Square) method with a panel data regression estimation model using the help of Eviews 10. The results of this study simultaneously showed that changes in the independent variables of land area, production and the total workforce of the agricultural sector together influenced Agricultural Sector PDRB variable significantly. While partially concluded that the variable area of land and oil palm production had a positive and significant effect on the PDRB of the agricultural sector in North Sumatra province, while the variable labor force in the agricultural sector had a negative effect on the PDRB of the agricultural sector in North Sumatra province.

scholarly journals PENGARUH JUMLAH PENDUDUK DAN PDRB TERHADAP KEMISKINAN DI PROVINSI SUMATERA UTARA

2020 ◽  
Vol 28 (3) ◽  
pp. 358
Author(s):  
Rapika Kesatriani Damanik ◽  
Selna Aprilia Sidauruk
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Data Analysis Technique ◽  
Analysis Technique ◽  
North Sumatra

Poverty is a problem in development. With the existence of poverty, development is hampered. The factors causing poverty include population and GDP. This study aims at determining the effect of population and GDP on poverty in North Sumatra in 2008-2017 so that the bias is used as a basis for determining policies and strategies in overcoming poverty in North Sumatra. The data used in this study is secondary data obtained from the Central Statistics Agency (BPS) while the data analysis technique used in this study is multiple linear regression analysis with the help of SPSS 24. The results show that the population and GRDP had a significant effect on poverty in North Sumatra.

scholarly journals KAJIAN BIAYA PEMUPUKAN TANAMAN MENGHASILKAN KELAPA SAWIT (Elaeis guineensis Jacq) DI DIVISI F KEBUN SEI KALAM PT. ASAM JAWA

2019 ◽  
Vol 3 (2) ◽  
pp. 97-102
Author(s):  
Tuty Ningsih ◽  
Dimas Akbar Ramadhan Lubis ◽  
Saroha Manurung
Keyword(s):  
Oil Palm ◽  
Elaeis Guineensis ◽  
Production Costs ◽  
Good Growth ◽  
Total Production ◽  
Physiological Processes ◽  
The Right ◽  
The Cost ◽  
North Sumatra

Fertilization in oil palm plants plays a very important role, more than 50% of the cost of the plant is used for fertilization. The hybrid oil palm currently being developed is generally very responsive to fertilization. Fertilization is a very important factor to increase the productivity and quality of the production produced. Fertilization is useful to provide nutrients needed by plants in order to carry out physiological processes that produce good growth and production. Fertilization costs are relatively high, approximately 30% of the total production costs or 40-60% of the total maintenance costs. The costs required to carry out fertilization activities are very large so that proper fertilization planning is needed to be effective and efficient. In productive plants can be done effectively 4T fertilization techniques, namely the right type, right dose, right on target, and on time. Based on this, observations were made on the study of fertilizer costs on plantations. This research was conducted in Division F of Sei Kalam Gardens, PT. Asam Jawa, Labuhanbatu Selatan Regency, North Sumatra Province. The time for the research to begin in March 2019 until May 2019.

scholarly journals PROSES DEKOMPOSISI BATANG KELAPA SAWIT (Elaeis guineensis Jacq.) METODE REPLANTING SISIPAN DAN PENCINCANGAN

2017 ◽  
Vol 2 (2) ◽  
pp. 55
Author(s):  
Nasamsir Nasamsir ◽  
Yuza Defitri ◽  
Heri Suhermanto
Keyword(s):  
Global Positioning System ◽  
Oil Palm ◽  
Elaeis Guineensis ◽  
Survey Methods ◽  
Secondary Data ◽  
Primary Data ◽  
Positioning System ◽  
General Description ◽  
Global Positioning ◽  
Plastic Bag

 This research was carried out in Panca Mulya Village, Sungai Bahar District, Muaro Jambi Regency, Jambi Province since August to September 2017. The material that used was weathering stems of oil palm that already previously replanting by 6 to 7 months, while the tools that used was the Global Positioning System (GPS) with Garmin GPSmap 78s as its brand, plastic bag, holding tool, camera, and stationery. This research was carried out by survey methods applying. Samples was collected from the replanting areas of both underplanting and chipping method, respectively 2 blocks with 3 locations each block had 200 m distance to North direction with 0.2 kg weight. Secondary data was collected from a company and Indonesian Agency for Meteorological, Climatological and Geophysics (Badan Meteorologi, Klimatologi, dan Geofisika or simply BMKG) while primary data was an interviews with farmers using a questionnaire. The collected data were : general description of research location, rainfall, temperature, humidity, soil acidity, C-N ratio of oil palm stem both before and after decomposition, from the replanting of both underplanting and chipping methods. The result of this study showed that C-N ratio of oil palm stem before decomposition was 58.42, C-N ratio of oil palm stem decomposition that replanting with underplanting method was 37.18, and the average C-N ratio of chipping method was 14.24. Be equaling with the compost quality specifications on Indonesian national Standar (Standar Nasional Indonesia (SNI) 19-7030-2004, so C/N value of decomposition process of oil palm stem that replanting by chipping method was already meet this standard with 10 to 20 as a C/N grade. Keywords ; C-N ratio, oil palm, replanting methodPenelitian ini dilaksanakan di desa Panca Mulya, kecamatan Sungai Bahar, kabupaten Muaro Jambi, Jambi pada bulan Agustus sampai September 2017. Bahan yang digunakan adalah hasil pelapukan batang Kelapa sawit yang sudah direplanting 6 sampai 7 bulan sebelumnya, sedangkan alat-alat yang digunakan adalah Global Positioning System (GPS) merek Garmin GPSmap 78s, kantung plastik, alat pengambil bahan, kamera, dan alat tulis. Penelitian ini dilaksanakan dengan metode survey, sampel dikumpulkan dari areal replanting metode sisipan dan matode pencincangan, masing-masing 2 blok pada 3 titik setiap blok jarak 200 m arah utara dengan berat 0.2 kg. Data sekunder dikumpulkan dari perusahaan atau BMKG dan wawancara dengan petani menggunakan kuisioner. Data yang dikumpulkan adalah ; informasi umum lokasi penelitian, curah hujan, suhu, kelembaban, pH tanah, rasio C-N batang Kelapa sawit sebelum dekomposisi, serta rasio C-N hasil dekomposisi.dari replanting metode sisipan dan pencincangan. Hasil penlitian menunjukkan nisbah C-N batang Kelapa sawit di daerah penelitian sebelum dekomposisi 58,42, rasio C-N dekomposisi batang Kelapa sawit replanting dengan metode sisipan rata-rata 37.18, dan metode pencincangan rata-rata 14,24. Bila disetarakan dengan spesifikasi kualitas kompos SNI 19-7030-2004, nilai C/N proses dekomposisi batang Kelapa sawit hasil replanting metode pencincangan sudah memenuhi standar dengan nilai C/N 10 sampai 20.Kata kunci ; rasio C-N, Kelapa sawit, metode replanting

Sign in / Sign up

Export Citation Format

Share Document