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Identifying Plant Age to Determine Production Trend of Oil Palm Fresh Fruit Bunches M Juremi Suhartono; Heri Setyawan; Wandha Atmaka Aji
Agro Bali : Agricultural Journal Vol 6, No 2 (2023)
Publisher : Universitas Panji Sakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37637/ab.v6i2.1174

Abstract

The productivity management of oil palm plantations is carried out by analyzing various influencing factors, but the growing conditions of oil palms are one of the causes of fluctuations in oil palm production. This paper aims to identify post-harvest increases in oil palm productivity. Productivity depends on the number of clusters and the weight of fresh fruit bunches (FFB) produced yearly. The methods of this study were conducted using a targeted sampling technique using available production data for plant time points from 4 to 13 years of age. The total plant sample was 636 ha in Central Kalimantan. As a result, plant growth factors can significantly impact oil palm productivity as measured by the components of oil palm plant production: fresh bunch production per hectare, average bunch weight, and the number of oil palm bunches. FFB tonnage and mean bunch weight increase each year from age 3 to age 13, according to a quadratic regression pattern, whereas the number of palm clusters, in contrast, decreases in number with increasing plant age. This study was intended to serve as a reference and source of information for making production decisions for oil palm plantations to achieve optimal results.
Evaluation of Land Suitability for Coconut Plants in Airmadidi District, North Minahasa Regency, North Sulawesi Rahadian Adi Prasetyo; Aditya Dyah Utami; Panji Romadhon; Heri Setyawan
SEAS (Sustainable Environment Agricultural Science) Vol. 8 No. 2 (2024)
Publisher : Warmadewa University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22225/seas.8.2.10595.89-95

Abstract

Airmadidi District is one of the coconut producing areas in North Minahasa Regency. Coconut plants are important for the community because each part has economic value. The purpose of the study was to identify the actual and potential land suitability classes for coconut plants in Airmadidi District. The research method used was the survey method. Determination of land suitability classes used a matching method between land characteristics and land suitability criteria. The results showed that the actual land suitability class in the Airmadidi District land unit was quite suitable (S2) and marginally suitable (S3) with limiting factors of water availability (wa) in the form of rainfall, nutrient retention (nr) in the form of Soil CEC and nutrient availability (na) in the form of N-Total, P2O5 and K2O. The potential land suitability class in the Airmadidi District land unit was very suitable (S1) and quite suitable (2) with limiting factors of available nutrients (na) in the form of N-Total, P2O5 and K2O.
Effect of Fertilizer Dosage and Watering Frequency on the Growth of Mucuna breacteata Heri Setyawan; Wandha Atmaka Aji; Olivia Elfatma; Indra Kurniawan; Subakho Aryo Saloko; Cut Ocha Mutia Wisuda
SEAS (Sustainable Environment Agricultural Science) Vol. 8 No. 2 (2024)
Publisher : Warmadewa University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22225/seas.8.2.10675.79-88

Abstract

The Mucuna bracteata plant has various benefits in the world of oil palm plantations. Apart from being a ground cover plant, Mucuna bracteta is also a source of organic matter in oil palm plantations. The availability of less arable land makes the need to develop Mucuna bracteata cultivation as a benchmark in anticipation of the impact of the increasing availability of arable land in oil palm plantations. A study has been carried out to determine the effect of P fertilizer dose and watering frequency on the growth of Mucuna breacteata, which has been carried out in the Education and Research Garden (KP-2) Akademi Komunitas Perkebunan Yogyakarta which is located in Papringan, Depok, Sleman, Yogyakarta. This study uses a factorial design consisting of two factors arranged in a complete random design. The first factor is the application of various doses of P fertilizer consisting of 3 levels, namely a dose of 1.5 g/plant, a dose of 3.0 g/plant, and a dose of 4.5 g/plant. The second factor is the frequency of watering which consists of 2 levels, namely 1 time a day and 1 time 2 times a day. The data of the research results were analyzed with various fingerprints at the real level of 5%. If there is a real difference, it will be continued with a test Duncan Multiple Range Test (DMRT) real level 5%. The results of the study showed that the application of P fertilizer with doses of 1.5 g, 3.0 g, and 4.5 g as well as the frequency of watering 1 time a day and 1 time 2 times a day, showed that the interaction of the two treatments had a real effect on the parameters of plant height, number of leaves, fresh weight of crown, and dry weight of crown. Meanwhile, the parameters of root fresh weight, root dry weight, and total number of root nodules showed no real interaction. However, the interaction of the two treatments has an effect on each treatment alone or separately.
APPLICATION OF COW MANURE, UREA AND NPK FERTILIZER COMBINATION ON THE GROWTH OF PALM OIL (Elaeis guineensis Jacq) IN PRE-NURSERY Heri Setyawan; Sri Manu Rohmiyati; Jhon Hardy Purba
Agro Bali : Agricultural Journal Vol 3, No 1 (2020)
Publisher : Universitas Panji Sakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (382.564 KB)

Abstract

Seedling performance is a prerequisite for successful palm oil cultivation. Determining the growth of seedlings in addition to genetic factors can also be influenced by the provision of nutrients at the beginning of growth. This research was conducted with the aim to get the best combination of cow manure with urea and NPK on the growth of oil palm seedlings in pre-nursery. This experiment used a factorial design, consisting of a single factor arranged in a completely randomized design (CRD), which is a combined application of cow manure, urea fertilizer and NPK fertilizer consisting of 4 combination levels (0.4 g urea + 0.4 g NPK; 0.2 g urea + cow manure fertilizer, 0.2 g NPK + cow manure fertilizer, and 65 g cow manure fertilizer). Research data was analyzed using Analysis of Variance (ANOVA) at 5% significance level. The results showed that administration of a combination of 0.2 g urea + 40 g cow manure produced the best growth of oil palm seedlings, although it had the same effect as a combination of 0.4 g NPK fertilizer + 50 g cow manure, whereas the combination treatment of 0.4 g urea + 0.4 g NPK fertilizer and 65 g cow manure treatment resulted in lower growth of oil palm seedlings.DOI: 10.37637/ab.v3i1.419
Analysis of Oil Palm Production Potential Based on Plantation Area in Major Oil Palm-Producing Provinces of Indonesia Heri Setyawan; Agus Manto; Wandha Atmaka Aji; Adhitya Kurniadhi; Theofilus Tejo Murti
Tropical Plantation Journal Vol 5, No 2 (2026): TROPICAL PLANTATION JOURNAL
Publisher : Akademi Komunitas Perkebunan Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56125/tpj.v5i2.103

Abstract

Oil palm is one of the leading plantation commodities that contributes significantly to the Indonesian economy. Plantation area is one of the main factors influencing oil palm production. This study aimed to analyze the potential of oil palm production based on plantation area in several major oil palm-producing provinces in Indonesia. A descriptive quantitative approach was employed using secondary data from ten major oil palm-producing provinces in Indonesia in 2024. The variables analyzed included plantation area, production, and oil palm productivity. Data were analyzed using descriptive statistics, Pearson correlation analysis, and simple linear regression. The results showed that Riau Province had the largest plantation area and production, reaching 3,490,000 ha and 9,130,000 tons, respectively, while Central Kalimantan recorded the highest productivity at 3.67 tons/ha. Pearson correlation analysis revealed a very strong positive relationship between plantation area and oil palm production, with a correlation coefficient of r = 0.973. Furthermore, simple linear regression analysis produced the equation Y = 2.7218X + 94,434 with a coefficient of determination (R²) of 0.9476, indicating that 94.76% of the variation in oil palm production could be explained by plantation area.These findings demonstrate that plantation area is the dominant factor affecting oil palm production in the major oil palm-producing provinces of Indonesia. Therefore, increasing oil palm production can be achieved through the optimization of plantation land utilization and improvements in plantation productivity.