Sistem Pakar Mendeteksi Penyakit Tanaman Kelapa Sawit Menggunakan Metode Forward Chaining

2019 ◽  
Vol 1 ◽  
pp. 444
Author(s):  
Dimas Satria ◽  
Poningsih Poningsih ◽  
Widodo Saputra
Keyword(s):  
Expert System ◽  
Programming Languages ◽  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Plant Diseases ◽  
Accurate Information ◽  
Forward Chaining ◽  
Web Programming ◽  
Level Of Confidence

The purpose of this paper is to create an expert system to detect oil palm plant diseases in order to help farmers / companies in providing accurate information about the diseases of oil palm plants and how to overcome them and to help reduce the risk of decreasing palm oil production. This system is designed to mimic the expertise of an expert who is able to detect diseases that attack oil palm plants. The method used is forward chaining that is starting from a set of data and proving a fact by describing the level of confidence and uncertainty found in a hypothesis. The results of this study are to diagnose diseases of oil palm plants and their computerization using web programming languages.

scholarly journals Oil palm land conversion in Pará, Brazil, from 2006–2014: evaluating the 2010 Brazilian Sustainable Palm Oil Production Program

2018 ◽  
Vol 13 (3) ◽  
pp. 034037 ◽  
Author(s):  
E Benami ◽  
L M Curran ◽  
M Cochrane ◽  
A Venturieri ◽  
R Franco ◽  
...  
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Land Conversion ◽  
Production Program

scholarly journals Selection gains for the palm oil production from progenies of American oil palm with oil palm

2021 ◽  
Vol 56 ◽  
Author(s):  
Rui Alberto Gomes Junior ◽  
Alessandra Ferraiolo de Freitas ◽  
Raimundo Nonato Vieira da Cunha ◽  
Antônio José de Abreu Pina ◽  
Higo Otávio Brochado Campos ◽  
...  
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Genetic Parameters ◽  
Recurrent Selection ◽  
Oil Production ◽  
Reciprocal Recurrent Selection ◽  
Fresh Fruit Bunches ◽  
Favorable Conditions ◽  
Selection Of

Abstract The objective of this work was to estimate the genetic parameters, correlations, and selection gains for the oil production of interspecific hybrids progenies between American oil palm, of ‘Manicoré’ origin, and oil palm, of ‘La Mé’ origin. Thirty-nine progenies were evaluated from the sixth to the ninth year after planting, for the productivity of fresh fruit bunches (PROD_FFB), oil content in the bunch (OCB), and palm oil productivity (PROD_OP). The genetic parameters and gains from direct (GDS) and indirect (GIS) selection were estimated for PROD_OP. High values of heritability for the CVg/CVe ratio indicated favorable conditions for the selection. With the selection of 20% of the progenies (selection in both sexes), the following estimates were obtained: 11.15% GDS for PROD_OP, 9.1% GIS for OCB, and 8.1% GIS for PROD_FFB. The PROD_OP of the progenies was of 6,175, 6,057, and 5,995 kg ha-1 per year with GDS and GIS for OCB and PROD_FFB, respectively. The restricted selection of the LM2T male genitor offspring resulted in 5.1% estimated GSD and in a mean of 5,800 kg ha-1 per year for PROD_OP. Selection gains for PROD_OP can be achieved immediately through the selection restricted to oil palm male genitors, and, in the medium and long term, through the interspecific reciprocal recurrent selection between American oil palm and oil palm populations.

scholarly journals The Optimal Felling Rate in the Palm Oil Plantation System

MATEMATIKA ◽  
2019 ◽  
Vol 35 (1) ◽  
pp. 95-104
Author(s):  
Mohd Ismail Abd Aziz ◽  
Noryanti Nasir ◽  
Akbar Banitalebi
Keyword(s):  
Optimal Control ◽  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Real Data ◽  
Palm Trees ◽  
Environmental Friendly ◽  
Proposed Model ◽  
Carbon Absorption ◽  
Plantation System

Successful palm oil plantation should have high returns profit, clean and environmental friendly. Since oil palm trees have a long life and it takes years to be fully grown, controlling the felling rate of the palm oil trees is a fundamental challenge. It needs to be addressed in order to maximize oil production. However, a good arrangement of the felling palm oil trees may still affect the amount of carbon absorption. The objective of this study is to develop an optimal felling model of the palm oil plantation system taking into account both oil production and carbon absorption. The model facilitates in providing the optimal control of felling rate that results in maximizing both oil production and carbon absorption. With this aim, the model is formulated considering palm oil biomass, carbon absorption rate, oil production rate and the average prices of carbon and oil palm. A set of real data is used to estimate the parameters of the model and numerical simulation is conducted to highlight the application of the proposed model. The resulting parameter estimation is solved that leads to an optimal control of felling rate problem.

The potential of environmental impact as a result of the development of palm oil plantation

2019 ◽  
Vol 30 (5) ◽  
pp. 1072-1094 ◽  
Author(s):  
Almasdi Syahza
Keyword(s):  
Environmental Impact ◽  
Palm Oil ◽  
Oil Palm ◽  
Coastal Area ◽  
Agricultural Sector ◽  
Accurate Information ◽  
Land Area ◽  
National Agency ◽  
Content Type ◽  
Oil Palm Plantation

Purpose The purpose of this paper is to develop strategies for potential environmental impacts as a result of institutional arrangement and development of oil palm downstream industry both regionally and nationally. Design/methodology/approach The research location is in the areas potential for oil palm plantation development, either by plasma through BUMN and BUMS or self-supporting by the society. The research location will be divided into two parts, namely, the land area and the coastal area. The Riau land areas are Regency of Kampar, Rokan Hulu, and Kuantan Singingi, while Riau coastal areas are Regency of Pelalawan, Siak, Bengkalis, Indragiri Hilir, Indragiri Hulu and Rokan Hilir. Both research areas have different productivity due to the different soil fertility levels. The sustainability level of oil palm plantation from the socio-economic and environmental aspects is analyzed using the multi-dimensional scaling approach modified into Rapid Appraisal-Index Sustainability of Palm Oil Management. Findings In Riau Province, the development of oil palm is quite rapid. This is reasonable for several reasons which include the following supporting factors: the geographical condition of the Riau region is very supportive; the high demand for palm oil derivative products; the existence of market guarantee for oil palm farmers; the higher income oil palm generates than other plantation crops; and the relatively flat area. Most of the problems faced by oil palm farmers are the use of less good seeds, the length of the fruit laying at the location of the plantation, the inadequate production road, the relatively far distance to palm oil mill (POM) (National Agency of Drug and Food Control), the tendency of determining the unilateral revenue of the POM, the collectively measurement of revenue and the general revenue information. The development of oil palm plantations has created an entrepreneurial capability for farmers who are able to capture business opportunities in the agricultural sector, especially the plantation sub-sector. Originality/value The originality of this paper shows the comprehensively control strategy, potential of environmental impact and palm oil plantation. The method used for data collection was rapid rural appraisal method because accurate information is needed in a limited time as it relates to decisions related to village development that must be taken immediately. The study area was conducted in Riau Province because Riau Province is one of the biggest palm oil producers in Indonesia. The study sites will be divided into two, namely, the land area and the coastal area.

scholarly journals A Review of Southeast Asian Oil Palm and Its CO2 Fluxes

2020 ◽  
Vol 12 (12) ◽  
pp. 5077 ◽  
Author(s):  
Royston Uning ◽  
Mohd Talib Latif ◽  
Murnira Othman ◽  
Liew Juneng ◽  
Norfazrin Mohd Hanif ◽  
...  
Keyword(s):  
Co2 Emissions ◽  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Southeast Asian ◽  
Co2 Fluxes ◽  
Asian Countries ◽  
Peat Swamp ◽  
Oil Palm Industry ◽  
Southeast Asian Countries

Palm oil production is a key industry in tropical regions, driven by the demand for affordable vegetable oil. Palm oil production has been increasing by 9% every year, mostly due to expanding biofuel markets. However, the oil palm industry has been associated with key environmental issues, such as deforestation, peatland exploitation and biomass burning that release carbon dioxide (CO2) into the atmosphere, leading to climate change. This review therefore aims to discuss the characteristics of oil palm plantations and their impacts, especially CO2 emissions in the Southeast Asian region. The tropical climate and soil in Southeast Asian countries, such as Malaysia and Indonesia, are very suitable for growing oil palm trees. However, due to the scarcity of available plantation areas deforestation occurs, especially in peat swamp areas. Total carbon losses from both biomass and peat due to the conversion of tropical virgin peat swamp forest into oil palm plantations are estimated to be around 427.2 ± 90.7 t C ha−1 and 17.1 ± 3.6 t C ha−1 year−1, respectively. Even though measured CO2 fluxes have shown that overall, oil palm plantation CO2 emissions are about one to two times higher than other major crops, the ability of oil palms to absorb CO2 (a net of 64 tons of CO2 per hectare each year) and produce around 18 tons of oxygen per hectare per year is one of the main advantages of this crop. Since the oil palm industry plays a crucial role in the socio-economic development of Southeast Asian countries, sustainable and environmentally friendly practices would provide economic benefits while minimizing environmental impacts. A comprehensive review of all existing oil plantation procedures is needed to ensure that this high yielding crop has highly competitive environmental benefits.

Modelling of palm oil production using fuzzy expert system

2009 ◽  
Vol 36 (5) ◽  
pp. 8735-8749 ◽  
Author(s):  
Lily Amelia ◽  
D.A. Wahab ◽  
A. Hassan
Keyword(s):  
Expert System ◽  
Palm Oil ◽  
Oil Production ◽  
Fuzzy Expert System

CAN GOOD AGRICULTURAL PRACTICES SUSTAIN OIL PALM YIELDS FOR BIOENERGY PRODUCTION IN NORTHEAST THAILAND?

2017 ◽  
Vol 54 (6) ◽  
pp. 915-930
Author(s):  
SIRILUK SOMNUEK ◽  
MAJA SLINGERLAND
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Agricultural Practices ◽  
Oil Production ◽  
Tree Age ◽  
Northeast Thailand ◽  
Good Agricultural Practices ◽  
The Government ◽  
Fresh Fruit Bunches ◽  
Fertiliser Application

SUMMARYThe government of Thailand aims for sustainability of palm oil production in the Northeast for bioenergy and farmers’ income. This study investigated whether producers in Northeast Thailand managed their oil palm according to good agricultural practices (GAP) and if not, what effects this has on yield. A survey was conducted amongst 108 randomly selected farmers. For 25 selected plots, management and yields were monitored twice a month for two full years. Compliance to GAP was high for weeding, harvesting, pruning and pest and disease control but not for irrigation (40%) and fertiliser application (20–40%). GAP adoption scores per households positively correlated with income from other crops, tree age and degree of training. We showed that rainfall was insufficient for good oil palm growth between October and April. In the monitored group, use of irrigation and amounts of N, P, K and Mg applied were strongly correlated. The yield was significantly greater with irrigation and fertiliser, reaching similar levels as in the South of Thailand (up to 25–30 Mg Fresh Fruit Bunches: FFB ha−1), but did not differ with soil texture. This allows us to conclude that better application of GAP, especially including a combination of irrigation and fertilisers overcame the unsuitable soil and rainfall conditions in the Northeast of Thailand. However, the costs of fertilisers compared to the price of FFB affected the profitability of FFB production, which may affect farmers’ motivation to apply GAP, especially on unsuitable soils. When the government aims for sustainable palm oil production in the Northeast it needs to invest in frequent technical support, irrigation infrastructure and affordable fertilisers. Otherwise, farmers may not apply GAP because of low returns on investments and yields will remain very modest.

scholarly journals Sistem Pakar Diagnosis Penyakit Tanaman Padi Menggunakan Forward Chaining dan Dempster Shafer

2020 ◽  
Vol 2 (2) ◽  
pp. 248-257
Author(s):  
Dianmita Ayu Putri ◽  
Arik Aranta
Keyword(s):  
Expert System ◽  
Theoretical Calculation ◽  
Rice Plant ◽  
Crop Production ◽  
Black Box ◽  
Plant Diseases ◽  
Test Results ◽  
Forward Chaining ◽  
Opinion Score ◽  
Black Box Testing

Rice (Oryza sativa) is one of the main commodities in Indonesia. One of the inhibitors of rice crop production is disease. Rice plant diseases can be caused by pathogens, host plants or bad environment. The process of diagnosing rice diseases requires expertise, knowledge and experience. This study aims to build an expert system that can diagnose 13 types of rice plant diseases from 43 symptoms based on the knowledge of 3 experts with forward chaining reasoning methods and mobile-based dempster shafer calculation methods. The testing technique used is black box testing, theoretical calculation testing, system accuracy testing and MOS (Mean Opinion Score) testing. The black box test results state that the expert system has 100% compatibility in terms of functionality. The theoretical calculation test results state that the expert system calculations are in accordance with the results of manual calculations. System accuracy testing results from 30 test cases get an accuracy of 81.11%. The results of MOS testing conducted on 30 respondents produced MOS of 4.2 from a scale of 5 categorized into a good system.

scholarly journals Rancang Bangun Sistem Pakar Mendiagnosa Penyakit Tanaman Kelapa Sawit Menggunakan Metode Bayes Berbasis Android (Studi Kasus : Perkebunan PTPN 4 Air Batu)

2018 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Muhammad Dedi Irawan ◽  
Muhammad Khairi Ikhsan Nasution
Keyword(s):  
Expert System ◽  
Palm Oil ◽  
Oil Palm ◽  
Good Method ◽  
Training Data ◽  
Cellular Phones ◽  
Conditional Probabilities ◽  
Bayes Method ◽  
Palm Fruit ◽  
Fruit Oil

Abstract - PT. Perkebunan Nusantara IV Air Batu (PTPN IV) is a government-owned oil palm plantation that is engaged in the production of palm fruit, oil palm plants will grow well and produce optimally if the plant is protected from disease. However, there is an imbalance where every year palm oil needs increase, while oil palm production decreases. This is due to lack of understanding of plantation assistants on the types of diseases found in oil palm plants which can cause continuous damage to oil palm plants. The Bayes method is one method that is suitable for selection, because the Bayes method is a good method in machine learning based on training data using conditional probabilities as the basis. With this expert system it is expected that plantation assistants can find out the type of disease and its solution quickly so that the problem of decreasing oil palm production can be overcome. The results of the research in the form of an expert system diagnose the disease of oil palm plants using the Android-based bayes method thus, this application can be used to analyze diseases using cellular phones. Keywords - Palm Oil Disease, Expert Systems, Bayes Method, Android.

scholarly journals Sistem Pakar Online Pendeteksi Penyakit Tanaman Adenium Dengan Metode Prototyping

2019 ◽  
Vol 5 (1) ◽  
pp. 51-58
Author(s):  
Syahriani Syahriani ◽  
Dimas Aryo Dirgantoro
Keyword(s):  
Expert System ◽  
System Application ◽  
Plant Disease ◽  
Plant Diseases ◽  
Suitable Method ◽  
Forward Chaining

- This adenium plant is a plant that began to demand by many hobbyist plants because plants have unique characteristics Adenium. In addition adenium treatment is also very easy, but adenium plants are also susceptible to pest disease, so it becomes a disease that can make this adenium plant damaged or dead. The lack of expert on adenium plant diseases causes the hobbyists to find it difficult to recognize the symptoms and ways to cure when the plant is infected with the disease. This expert system is made to facilitate the hobbyists in coping with adenium plant diseases. The method used in this expert system is forward chaining, because the Forward Chaining method is a suitable method for the control and forecasting of adenium plant diseases. This expert system application will display the question about the symptoms of adenium plant disease that attack and can be found the solution by experts who have experienced in their field, after that the system will display the results of the disease that attacks his adenium plants along with the characteristics and how to cope with the disease.  Keywords: Adenium, Expert System, Forward Chaining

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