Articles
<![CDATA[The Effect of Rainfall and Rain Days On Palm Oil Production ]]>
<![CDATA[Wandha Atmaka Aji]]>;
<![CDATA[Subakho Aryo Saloko]]>;
<![CDATA[Indra Kurniawan]]>;
<![CDATA[Mukti Ahmad Nurcahya]]>
<![CDATA[ Tropical Plantation Journal Vol 1, No 1 (2022): TROPICAL PLANTATION JOURNAL ]]>
Publisher : <![CDATA[Akademi Komunitas Perkebunan Yogyakarta ]]>
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DOI: 10.56125/tpj.v1i1.3
<![CDATA[One of the determining factors for water availability for palm oil plants that do not use irrigation systems is rainfall. The availability of water is a major factor that limits the level of production of palm oil plants. The availability of water for oil palm plants in the field is obtained from rainfall data. This research was conducted at PT. Menthobi Makmur Lestari, Lamandau Regency, Central Kalimantan Province, from June 2021 to July 2021. This study uses secondary data analysis including data on of fresh fruit bunches (TBS) production components in the form of components of the number of fruit bunchesg, average fruit bunches weight, number of productive principals, seed fruit bunches weight; data on the production of fres TBS; rainfall data; and monthly rainy day data in 2017, 2018 and 2019 in 6 Divisions. The results of the analysis showed that variable rainfall and rainy days had a real effect on the increase in TBS production at the age of 5 years. Correlation results in plants aged 12, 15 and 18 years with a two-way analysis at the test level of 1% showed the variable rainfall and rainy day had a strong, real and unidirectional relationship. The correlation value of rainfall and consecutive rainy days is 0.892; 0,887; and 0.855 with significance value of 0.000.]]>
<![CDATA[Implementation of integrated pest control to reduce rhino beetle (Oryctes rhinoceros) attacks in oil palm plantations ]]>
<![CDATA[Idum Satia Santi]]>;
<![CDATA[Alfi Prayoga]]>;
<![CDATA[Heri Setyawan]]>;
<![CDATA[Wandha Atmaka Aji]]>
<![CDATA[ Tropical Plantation Journal Vol 1, No 2 (2022): TROPICAL PLANTATION JOURNAL ]]>
Publisher : <![CDATA[Akademi Komunitas Perkebunan Yogyakarta ]]>
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DOI: 10.56125/tpj.v1i2.10
<![CDATA[Oryctes rhinoceros or Rhino beetle ( Coleoptera; Scarabidae) is a major pest in oil palm plantations. This pest is very harmful, especially in replanting areas, and young plants cause up to 25 per cent of palm oil-related deaths. This study aims to evaluate the effectiveness of integrated pest management in suppressing the population and development of O. rhinoceros. The research was conducted at the Oil Palm Plantation, PT. Sumber Indah Perkasa, Penawartama, Tulangbawang Regency, Lampung Provincial for one year. The analysis used is a descriptive analysis involving the collection of data from a variety of control techniques. The results showed that the pest control techniques of O. rhinoceros lightrap, ferotrap, holetrap, nets, larval quotes and chemistry could suppress or decrease pest populations. The control with light traps is very efficient because it obtained the number of captures of imago beetles up to 246,224 in 1 year. The integrated pest control of O. rhinoceros successfully reduced the attack of beetles until it did not reach the economic threshold. It is hoped that implementing integrated O. rhinoceros pest control can be a reference for plantations]]>
<![CDATA[Taxation of Palm Oil Production Results Using on Regression Model (PT. Menthobi Makmur Sustainable) ]]>
<![CDATA[Wandha Atmaja Aji]]>;
<![CDATA[Bagus Nugroho]]>;
<![CDATA[Toyyibah Toyyibah]]>
<![CDATA[ Tropical Plantation Journal Vol 2, No 1 (2023): TROPICAL PLANTATION JOURNAL ]]>
Publisher : <![CDATA[Akademi Komunitas Perkebunan Yogyakarta ]]>
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DOI: 10.56125/tpj.v2i1.15
<![CDATA[PT Menthobi Makmur Lestari is a growing industrial company in the field of palm oil production. The company is targeting increased palm oil production to forecast capacity plans and manufacturing facilities. One of the prediction methods used is multiple linear regression. The free variables used for prediction are the age of the tree, land area (ha), number of trees, number of vines, and the bound variable is the yield of oil palm production. The results of the correlation test using multiple regression showed a significant correlation of 0.05 or less. Hypothesis testing includes multiple linear regression and correlation using the t test and f test with a significance level of α = 0.05. The value of multiple correlation analysis (R) is 0.947 and the coefficient of determination is 90%. The performance of the multiple regression equation is the accuracy of predictions with an average absolute error percentage (MAPE) of 21%, which is formed from the validation of training and testing data.]]>
<![CDATA[Pengenalan Ekosistem Sederhana dengan Metode Praktik Pembuatan Maket di SD Islamiyah Warungboto ]]>
<![CDATA[Heri Setyawan]]>;
<![CDATA[Olivia Elfatma]]>;
<![CDATA[Subakho Aryo Saloko]]>;
<![CDATA[Wandha Atmaka Aji]]>;
<![CDATA[Indra Kurniawan]]>
<![CDATA[ E-Dimas: Jurnal Pengabdian kepada Masyarakat Vol 14, No 1 (2023): E-DIMAS ]]>
Publisher : <![CDATA[Universitas PGRI Semarang ]]>
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DOI: 10.26877/e-dimas.v14i1.10888
<![CDATA[Praktik pembuatan maket ini bertujuan untuk memberikan gambaran langsung kepada siswa-siswi SD Islamiyah Warungboto tentang ekosistem alam dengan cara dan metode yang sederhana. Pelatihan di lakukan dalam tiga sesi. Sesi pertama diisi dengan penyampaian materi dasar ekosistem, berisi penyampaian sederhana tentang eksosistem alam seperti sawah, air, rumput, katak dan lingkungannya. Selanjutnya sesi ke dua diisi dengan praktik pembuatan maket ekosistem dengan alat dan bahan sederhana, dengan praktik siswa siswi mampu medapatkan langsung gambaran tentang ekosistem yang sesungguhnya di alam. Kemudian sesi ketiga adalah sesi yang di peruntukan bagi siswa-siswi SD Islamiyah Warungboto, Masing-masing kelompok maju ke depan untuk menjelaskan kepada teman kelas lainya tentang eksositem apa yang meraka buat maket, sehingga akan saling bertukar pengetahuan. Hasil pelatihan ini memberikan dampak yang baik kepada siswa-siswi SD Islamiyah Warungboto terhadap pengetahuan eksosistem alam, serta dapat meningkatkan kepedulian mereka terhadap lingkungan di sekitarnya.]]>
<![CDATA[Fertilization Effectiveness on the Productivity of Fresh Fruit Bunches and Maintenance Costs of Oil Palm ]]>
<![CDATA[Aji, Wandha Atmaka]]>;
<![CDATA[Utami, Aditya Dyah]]>;
<![CDATA[Nugroho, Bagus]]>;
<![CDATA[Toyyibah, Toyyibah]]>;
<![CDATA[Nurcahya, Mukti Ahmad]]>
<![CDATA[ Buletin Penelitian Sosial Ekonomi Pertanian Fakultas Pertanian Universitas Haluoleo Vol 22, No 2 (2020) ]]>
Publisher : <![CDATA[Department of Agribusiness Halu Oleo University Kendari Southeast Sulawesi ]]>
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DOI: 10.37149/bpsosek.v22i2.13874
<![CDATA[The productivity of oil palm is highly dependent on the application of fertilization. Fertilizer applications must pay attention to its effectiveness and efficiency so that nutrients are absorbed optimally at the right time and right dosage. This research was conducted to assess the effectiveness of fertilization time. In addition, this also aimed to examine the effectiveness of oil palm fertilization which affects the productivity of fresh fruit bunches (FFB) and increases the production income. The data used were secondary data including fertilization and productivity of FFB at time intervals after fertilization for 6, 7, and 8 months in Kujan Estate Division, PT Menthobi Makmur Lestari (MMaL), Kujan Village, Nanga Bulik District, Lamandau, Central Kalimantan Province. The data obtained were analyzed using MS software. Excel was also employed to describe the dosage and time applied for 1 year and the productivity of FFB after 6 months of fertilization. Fertilizer application in months with high rainfall and long dry season is less effective and efficient for nutrient availability. The productivity of FFB in the second semester after 6 months of fertilization has increased compared to the first semester. The effective application of fertilizers can increase the production of CPO and reduce the total maintenance cost of the oil palm company]]>
<![CDATA[Increased Value Addition of Liberica as Robusta Additive at Pangkalan Bun Shop ]]>
<![CDATA[Risca Permata]]>;
<![CDATA[Saprudin Saprudin]]>;
<![CDATA[Wandha Atmaka Aji]]>;
<![CDATA[Andli Setiawan]]>
<![CDATA[ Tropical Plantation Journal Vol 2, No 2 (2023): TROPICAL PLANTATION JOURNAL ]]>
Publisher : <![CDATA[Akademi Komunitas Perkebunan Yogyakarta ]]>
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DOI: 10.56125/tpj.v2i2.26
<![CDATA[The study aims to calculate the income and added value of businesses that process liberica coffee fruit into ground coffee. This survey lasted for one month, from August 2020 to September 2020. The research place is the KBA Coffee Shop owned by Mr. Sutrisno in South Arut District. The method taken in this study is to use primary data and secondary data. Primary data were obtained through live interviews using a series of questions. Secondary data were obtained through supporting literature and their relation to this study. The data analysis methods used in this study are: (1) calculating the business income of liberica coffee fruit processed into coffee grounds, (2) calculating the added value of liberica coffee grounds. The results of the study showed that the Liberica coffee ground processing business provided income to Mr. Sutrisno of Rp. 2 million. 17,991,111.13 per month. The added value enjoyed by KBA coffee shop owners is Rp. 22,830 / Kg of raw materials used. This added value is what KBA Coffee Shop obtains when using 1 kg of raw materials.]]>
<![CDATA[Determinants of Labor Productivity in Palm Oil Harvesting, Central Kalimantan ]]>
<![CDATA[Wandha Atmaja Aji]]>;
<![CDATA[Heri Setyawan]]>;
<![CDATA[Indra Kurniawan]]>;
<![CDATA[Idum Satia Santi]]>
<![CDATA[ Tropical Plantation Journal Vol 2, No 2 (2023): TROPICAL PLANTATION JOURNAL ]]>
Publisher : <![CDATA[Akademi Komunitas Perkebunan Yogyakarta ]]>
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DOI: 10.56125/tpj.v2i2.25
<![CDATA[Work effectiveness is greatly influenced by organizational development, placement, and use of work. Productivity at work has a big impact on results. This study aims to identify the impact of determinants of labor productivity as an oil palm harvester in oil palm plantations in order to increase knowledge, skills and experience in work. Data on the labor productivity of oil palm harvest was carried out by Purpose sampling of 76 people taken from 6 stagnation in 3 afdeling related to wages and premiums obtained every month. Data analysis using descriptive methods and multiple linear regression. Multiple regression analysis partially shows that education level, number of dependents, and age have no real effect on labor productivity, but length of work does. Simultaneous regression tests show that education level, number of dependents, age, and length of working hours have a significant effect on the labor productivity of oil palm harvests.]]>
<![CDATA[Identifying Plant Age to Determine Production Trend of Oil Palm Fresh Fruit Bunches ]]>
<![CDATA[M Juremi Suhartono]]>;
<![CDATA[Heri Setyawan]]>;
<![CDATA[Wandha Atmaka Aji]]>
<![CDATA[ Agro Bali : Agricultural Journal Vol 6, No 2 (2023) ]]>
Publisher : <![CDATA[Universitas Panji Sakti ]]>
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DOI: 10.37637/ab.v6i2.1174
<![CDATA[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.]]>
<![CDATA[PERAN PETUGAS PENYULUH LAPANGAN (PPL) DALAM PENGENALAN PENGENDALIAN TIKUS DENGAN BURUNG HANTU ]]>
<![CDATA[Mukti Ahmad Nurcahya]]>;
<![CDATA[Heri Setyawan]]>;
<![CDATA[Wandha Atmaka Aji]]>
<![CDATA[ Agros Journal of Agriculture Science Vol 25, No 4 (2023): edisi Oktober ]]>
Publisher : <![CDATA[Fakultas Pertanian, Universitas Janabadra ]]>
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DOI: 10.37159/jpa.v25i4.3513
<![CDATA[Controlling rat at the farmer level has a variety of methods, one of which is the use of natural enemies to control the population. Owls were introduced by PPL to farmers as a natural enemy of controlling rats. This research aims to determine the role of PPL in introducing owls as rat control. The role of PPL is assessed by farmers in introducing rat control with owls as communicators, facilitators, motivators and innovators. The results obtained show that farmers assess the role of extension agents as communicators as the highest role of PPL in introducing rat pest control with owls, while their role as facilitators is assessed as the lowest role by farmers. Keywords: Control of mice, owls, natural enemies INTISARIPengendalian tikus di tingkat petani dapat dilakukan dengan berbagai cara, salah satunya adalah dengan memanfaatkan musuh alami untuk mengendalikan populasinya. Burung hantu diperkenalkan PPL kepada petani sebagai musuh alami pengendalian tikus. Penelitian ini bertujuan untuk mengetahui peran PPL dalam memperkenalkan burung hantu sebagai pengendali tikus. Peran PPL dinilai oleh petani dalam memperkenalkan pengendalian tikus dengan burung hantu sebagai komunikator, fasilitator, motivator dan inovator. Hasil yang diperoleh menunjukkan bahwa petani menilai peran penyuluh sebagai komunikator dinilai paling tinggi peran PPL dalam mengenalkan pengendalian hama tikus dengan burung hantu, sedangkan peran sebagai fasilitator dinilai paling rendah perannya oleh petani. Kata Kunci: Pengendalian tikus, burung hantu, musuh alami]]>
<![CDATA[Correlation of Plantation Area and Palm Oil Production in Sumatra and Kalimantan Regions ]]>
<![CDATA[Kurniawan, Indra]]>;
<![CDATA[Kurniadhi, Adhitya]]>;
<![CDATA[Aji, Wandha Atmaka]]>;
<![CDATA[Manto, Agus]]>
<![CDATA[ Tropical Plantation Journal Vol 3, No 2 (2024): TROPICAL PLANTATION JOURNAL ]]>
Publisher : <![CDATA[Akademi Komunitas Perkebunan Yogyakarta ]]>
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DOI: 10.56125/tpj.v3i2.46
<![CDATA[This study aims to analyze the correlation between the area of oil palm plantations and oil palm production in Indonesia, especially in the Sumatra and Kalimantan regions which are the centers of oil palm plantation distribution. Data collection using secondary data from the Central Statistics Agency (BPS), this study aims to determine the relationship between the increase in land area and oil palm plantation production over the past 10 years. This study uses a quantitative method with a correlative approach. Data analysis was carried out using a bivariate correlation Pearson correlation test to determine the positive relationship between plantation area and oil palm production. The results of the analysis showed a significant positive relationship between the land area variable and oil palm production in both the Sumatra and Kalimantan regions, this is indicated by a positive number and a strong correlation of 0.852 for the Sumatra region and very strong, namely 0.996 for the Kalimantan region. In addition, the results of the interpretation of the correlation by looking at Sig. (2-tailed) also show that between the land area variable and production there is a significant correlation, namely 0.002 for the Sumatra region and a value of 0.000 for the Kalimantan region. Although the correlation between land area and production shows a positive value and has a very strong correlation, there are still other factors such as technology, climate, and management practices that also play a role in influencing palm oil production results.]]>
