HIDUNG ELEKTRONIK BERBASIS SENSOR GAS MOS UNTUK KARAKTERISASI KEMATANGAN BUAH KELAPA SAWIT

The ripeness of oil palm fruits is one of the key factors for crude palm oil qualities. Recently, electronic nose systems have been developed intensively for fruit quality assessment which relates odors to ripeness levels. This study developed an electronic nose system to characterize the ripeness levels of oil palm fruits using output voltage of each sensor and fruit hardness. The system consisted of a sensor chamber and a sample chamber. The sensor chamber consisted of eight MOS gas sensor modules of MQ series. Samples were oil palm fruits taken from oil palm fresh fruit bunches (FFB) which were previously categorized traditionally into unripe, ripe, over ripe, peeled and put into the sample chamber. Some of the fruits were also used for hardness measurement. To quantify the output voltages for each sensor, integrated trapezoid areas were calculated and related to the fruit hardness values. The results showed a significant voltage difference of each sensor for the three ripeness levels. Only four out of eight sensors showed significantly higher voltages. Three sensors which can significantly differentiate the ripeness levels are MQ3, MQ5, and MQ135 which MQ135 is the best. This shows that the electronic nose is potential for oil palm fruits. Keywords: electronic nose, fruit hardness, MOS gas sensor, oil palm fruit, ripeness

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Pengaruh perbedaan ukuran polen pada penyerbukan buatan terhadap potensi jumlah buah pada tanaman kelapa sawit (Elaeis guinensis Jacq.)

Kultivasi ◽

10.24198/kultivasi.v18i1.19611 ◽

2019 ◽

Vol 18 (1) ◽

Author(s):

Enceng Sobari ◽

Ahmad Akmal Hasibuan ◽

M. Subandi

Keyword(s):

Experimental Design ◽

Oil Palm ◽

Pollen Size ◽

Palm Fruit ◽

Randomized Design ◽

Natural Pollination ◽

Completely Randomized Design ◽

Fresh Fruit Bunches ◽

Palm Fruits ◽

Range Test

Sari. Pembentukan buah tanaman kelapa sawit yang menurun berimbas pada produksi tandan buah segar. Hal ini diakibatkan oleh penyerbukan secara alami yang kurang efektif. Tujuan penelitian ini adalah mengetahui pengaruh perbedaan ukuran serbuk sari terhadap potensi jumlah buah dalam satu tandan, persentase keberhasilan pembentukan buah, dan bentuk buah kelapa sawit dengan cara penyerbukan buatan. Metode yang digunakan merupakan metode eksperimen dengan rancangan percobaan berupa Rancangan Acak Lengkap, yang terdiri dari 2 perlakuan ukuran serbuk sari dan 3 ulangan. Perlakuan terdiri dari ukuran serbuk sari 10 mesh dan 12 mesh. Pengujian lanjut dilakukan dengan Uji Jarak Berganda Duncan. Hasil penelitian menunjukkan bahwa aplikasi ukuran serbuk sari tidak berpengaruh nyata terhadap jumlah buah terbentuk dalam satu tandan, tetapi persentase keberhasilan pembentukan buah >80%, dan bentuk buah yang dihasilkan rata-rata buah normal. Ukuran serbuk sari dari saringan 10 dan 12 mesh secara deskriptif lebih kecil serta seragam dibandingkan saringan 2 – 8 mesh.Kata kunci: Kelapa Sawit, Potensi Hasil, Polen, Buah.Abstract. Decline of oil palm fruit sets impacts on the production of fresh fruit bunches (FFB). This is caused by less effective natural pollination. Objective of this research was to determine the effect of pollen size differences by artificial pollination to the potency of number of fruits per bunch, percentage of success fruit sets, and shapes of oil palm fruits. The method used experimental method. Experimental design was Completely Randomized Design (CRD), which consisted of 2 pollen size treatments and 3 replications. The treatment consisted of pollen size of 10 mesh and 12 mesh, then tested by Duncan's Multiple Range Test. The results showed that the application of pollen size did not significantly affect the number of fruits per bunch, but the percentage of success fruit sets was> 80%, and the shape of fruit was normal. Pollen size from sieves 10 and 12 mesh descriptively homogen and smaller than pollen size from sieves 2 – 8 mesh. Keywords: Palm Oil, Potential Results, Pollen, Fruit.

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IMPLEMENTASI JARINGAN SYARAF TIRUAN (JST) DAN PENGOLAHAN CITRA UNTUK KlASIFIKASI KEMATANGAN TBS KELAPA SAWIT

Komunikasi Fisika Indonesia ◽

10.31258/jkfi.15.1.36-45 ◽

2018 ◽

Vol 15 (1) ◽

pp. 36

Author(s):

Minarni Minarni ◽

Roni Salumbae ◽

Zilhan Hasbi

Keyword(s):

Oil Palm ◽

Color Space ◽

Human Perception ◽

Image Data ◽

Cost Effective ◽

Fresh Fruit ◽

Human Vision ◽

Palm Fruit ◽

Color Parameters ◽

Fresh Fruit Bunches

The clasification of ripeness stages of oil palm fresh fruit bunches (FFBs) can be done using color parameters. These parameters are often evaluated by human vision, whose degree of accuracy is subjective which can cause doubt in judgement. Automatic clasifications offreshfruit bunches (FFBs) based on color parameters can be done using computer vision. This method is known as a nondestructive, fast and cost effective method. In this research, a MATLAB computer program has been developed which consists of RGB and HSV GUI which is used to record, display, and process FFB image data. The backpropagation artificial neural network (ANN) program is also developed which is used to classify the oil palm fruit fresh bunches (FFBs). Samples are fresh fruit bunches (FFB) of oil palm varieties of Tenera which comprise of Topaz, Marihat, and Lonsum clones. Each clone composed of three levels of ripeness represented by five fractions. The measurements were started by capturing images of oil palm, extracting RGB and HSV values, calculating weight values from the image database to make anANN program, preparing grid programs for oil palm FFBs, and comparing grading levels of oil palm FFBs using program and by harvester. This program successfully classified oil palm (FFBs) into three categories of ripeness which are unripe (F0 and F1), ripe (F1 and F1) and over ripe (F4 and F5). The RGB and HSV programs successfully classified 79 out of 216 FFBs or 36.57% and 106 out of 216 TBS or 49.07%. Respectively the HSV program is better than RGB program because the representation of HSV color space are more understood by human perception hence can be used in calibration and color comparison.

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Electronic nose system with micro gas sensor array

Sensors and Actuators B Chemical ◽

10.1016/s0925-4005(97)80092-5 ◽

1996 ◽

Vol 36 (1-3) ◽

pp. 338-341 ◽

Cited By ~ 21

Author(s):

Hyung-Ki Hong ◽

Hyun Woo Shin ◽

Dong Hyun Yun ◽

Seung-Ryeol Kim ◽

Chul Han Kwon ◽

...

Keyword(s):

Gas Sensor ◽

Electronic Nose ◽

Sensor Array ◽

Gas Sensor Array ◽

Micro Gas Sensor ◽

Electronic Nose System

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FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKTIVITAS TENAGA KERJA BURUH PANEN BUAH KELAPA SAWIT(Studi Kasus Pada Divisi I PT. Megasawindo Perkasa IKecamatan Pelepat Kabupaten Bungo)

JAS (Jurnal Agri Sains) ◽

10.36355/jas.v1i1.110 ◽

2017 ◽

Vol 1 (1) ◽

Author(s):

Fikriman Fikriman ◽

Arif Herdiansyah

Keyword(s):

Labor Productivity ◽

Oil Palm ◽

Work Experience ◽

Division I ◽

Palm Fruit ◽

Experience Factor ◽

Palm Fruits ◽

Partial Factor ◽

Fruit Harvest ◽

Selection Of

Research conducted at the Division I Megasawindo PT Perkasa I Sub Pelepat Bungo on December 1, 2015 until January 1, 2016. Selection of the location of this research was done intentionally (purposive sampling) with the consideration that Division I had a workforce of most on the harvesting of coconuts oil with 79 workers to harvest. This study was conducted to determine the factors that affected the productivity of harvest labor of Oil palm fruit in the Division I PT.Megasawindo Mighty I Sub Pelepat Bungo. The data collection method used in the study was documentation technique that was to obtain data directly from the data of research that palm fruit harvest workers at the Division I PT.Megasawindo Perkasa District of Pelepat many as 79 workers harvest the palm fruits. But the workers must studied the labor of its work effectively during the year 2014 as many as 39 people. The results showed that the average labor productivity of oil palm fruit harvest workers amounted to 37.31 tons / person / month. Harvest Labor productivity of the palm fruits together significantly affected by factors of wages, work experience, number of dependents and age, it could be seen from the calculated F value (983.312)> F table (2.649), but the partial factor wages were on a very real effect on the productivity of harvest labor of the palm fruits, as seen from the value of 49 997 t> t table 2,032. While working experience factor, number of dependents and the age factordid not significantly affected harvest labor productivity of oil palm fruit division I PT. Megasawindo Mighty I Sub Pelepat Bungo.Keywords: Productivity, Labor harvest, factors and Palm Oil

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Segregation of oil palm fruit ripeness using color sensor

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v25.i1.pp130-137 ◽

2022 ◽

Vol 25 (1) ◽

pp. 130

Author(s):

Aiman Mustaffa ◽

Faiz Arith ◽

Nurin Izzati Fauzi Peong ◽

Nurul Rafiqah Jaffar ◽

Evelyn Larwy Linggie ◽

...

Keyword(s):

Oil Palm ◽

Human Error ◽

Maturity Level ◽

Palm Fruit ◽

Segregation Process ◽

Fruit Maturity ◽

Color Sensors ◽

Speed Up ◽

Oil Palm Industry ◽

Palm Fruits

Oil palm is an important industry that has contributed to income and support to the economic sector especially for Malaysia and Indonesia. However, most of the equipment in the oil palm industry is still operated manually. This work developed a system to separate bunches of oil palm fruit using color sensors according to maturity level. Fruit color plays a decisive point in determining fruit maturity. Here, a specific threshold point of red green blue (RGB) was obtained for the determination of the maturity level of oil palm fruit. Point values of < 120, 120 < x < 150 and > 150 represent the maturity levels of unripe, under ripe and ripe, respectively. This paper is the first to report the RGB points for use in the development of automated oil palm segregation system in the oil palm plantation industry. Thus, this paper will pave the way in producing an accurate and reliable oil palm separation system, which in turn has a positive effect in reducing human error. In the future, a set of sensors is proposed to detect a bunch of the oil palm fruits. This further can speed up the segregation process and more suitable for adaptation to the industry.

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PENANGANAN HASIL PANENTANDAN BUAH SEGAR KELAPA SAWIT OLEH KOPERASI HARAPAN JAYA

PAPATUNG: Jurnal Ilmu Administrasi Publik, Pemerintahan dan Politik ◽

10.54783/japp.v3i1.50 ◽

2020 ◽

Vol 3 (1) ◽

pp. 150-158

Author(s):

Munawar Thoharudin ◽

Fatkhan Amirul Huda ◽

Tedi Suryadi

Keyword(s):

Oil Palm ◽

Qualitative Approach ◽

Research Approach ◽

Analysis Method ◽

Economic Activities ◽

Palm Fruit ◽

Fresh Fruit Bunches ◽

The Village ◽

Depth Interviews ◽

Cooperative Units

Oil palm is one of the commodities of plantation products which has an important role in economic activities in Indonesia. The existence of the Harapan Jaya cooperative is very helpful for the plasma farmers in the village who are not prosperous. In addition to being able to provide cooperative capital assistance, the role is to ensure that farmers 'harvests are sold every month, while other cooperatives are unable to provide certainty about the sale of farmers' harvested fruits. The aim of this study was to discuss the handling of yields of oil palm fresh fruit bunches by cooperative expectations. The research approach used in this study is a qualitative approach. The research was carried out in a village of prosperous hope cooperative units in a village that was not successful. Site selection is determined intentionally. Data collection is done by in-depth interviews and documentation. The variables in this study consisted of mechanisms for handling yields of fresh palm fruit bunches. The data analysis method used in this study is descriptive qualitative. Based on the results of the study, information was obtained regarding the problems faced by oil palm farmers, especially in villages that were not successful. The solution to overcome this problem is through 3 mechanisms for supplying fruit-bearing trucks, cooperating with several palm oil mills, selling FFB to factories at high prices, and ensuring that the plantation roads are feasible to pass.

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YOUTHS’ INVOLVEMENT IN OIL PALM (ELAEIS GUINEENSIS) FRUIT PROCESSING ACTIVITIES

Cercetari Agronomice in Moldova ◽

10.46909/cerce-2020-033 ◽

2021 ◽

Vol 53 (4) ◽

pp. 384-399

Author(s):

Julius Olatunde AYINDE ◽

Michael FAMAKINWA ◽

Babatunde Opeyemi AKEREDOLU

Keyword(s):

Oil Palm ◽

Agricultural Development ◽

Formal Education ◽

Elaeis Guineensis ◽

Sampling Procedure ◽

Palm Fruit ◽

Level Of Involvement ◽

Fruit Processing ◽

Fresh Fruit Bunches ◽

Multistage Sampling

This study assessed the youths’ involvement in oil palm fruit processing activities in Ondo State, Nigeria. It described the socio-economic characteristics of youths involved in oil palm fruit processing activities, determined their level of involvement, examined their perception and identified constraints associated with their involvement. Multistage sampling procedure was employed to select 120 respondents from the study area. Interview schedule was employed to collect relevant data, which was analysed with SPSS software package. Descriptive statistics were used to summarise the data while inferential statistics were used to draw inference on hypothesis. The results show that majority (63.3%) were male, 95.8% had formal education with a mean age of 27.2 ± 2.7 years. Picking of fresh fruit bunches ( = 2.71), packaging ( = 2.60) and gathering of bunches ( = 2.50) were the major activities youth involved in. Higher percentage (57.9%) of the youth had favourable perception towards involvement in oil palm fruit processing activities. Lack of modern processing facilities ( =3.65) and funds/inadequate credit facilities ( = 3.65) were the prime constraints to their involvement. Number of labour (r = 0.7460; p≤0.01) and income (r = 0.601; p≤0.01) of the respondents were significantly related to youth involvement. The study concluded that youth had moderate involvement in oil palm processing activities. However, agricultural development stakeholders like government should provide adequate and functional credits facilities to these youths to encourage their involvement.

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STUDY OF THE UTILIZATION OF PALM OIL INDUSTRY LIQUID WASTE

Konversi ◽

10.20527/k.v10i1.10146 ◽

2021 ◽

Vol 10 (1) ◽

Author(s):

An Nisa Fitria ◽

Vandhie Satyawira Gunawan ◽

Mardiah Mardiah

Keyword(s):

Palm Oil ◽

Oil Palm ◽

Economic Value ◽

Liquid Waste ◽

Oil Industry ◽

Fresh Fruit ◽

Added Value ◽

Palm Fruit ◽

Fresh Fruit Bunches ◽

Plantation Crops

Palm oil is one of the plantation crops that have high economic value and is growing rapidly. The wider the area of oil palm plantations in Indonesia, the more palm oil mills will process palm fresh fruit marks and produce waste from processed palm oil, namely solid waste and liquid waste. Each tonne of fresh fruit bunches (FFB) processed at the plant will potentially leave waste of about 23% empty palm oil, 4% wet decanter solid, 6.5% shell, 13% fiber, and 50% liquid waste. This review will discuss the utilization of palm oil mill liquid waste (LCPKS) which is organic material that still contains many benefits such as nutrients, therefore the application of liquid waste is an effort to recycle some of the nutrients (recycling nutrients) which is followed by harvesting fresh fruit bunches (FFB) from oil palm so that it will reduce the cost of fertilization which is classified as very high for oil palm cultivation. During the processing of oil palm fruit into palm oil in the palm oil industry, the remaining process is obtained in the form of liquid waste. If done properly, the liquid waste of the palm oil industry is considerable potential and can increase the added value of waste itself.Keywords: liquid waste industry, palm oil, utilization

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Portable electronic nose system with gas sensor array and artificial neural network

Sensors and Actuators B Chemical ◽

10.1016/s0925-4005(99)00460-8 ◽

2000 ◽

Vol 66 (1-3) ◽

pp. 49-52 ◽

Cited By ~ 51

Author(s):

Hyung-Ki Hong ◽

Chul Han Kwon ◽

Seung-Ryeol Kim ◽

Dong Hyun Yun ◽

Kyuchung Lee ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Gas Sensor ◽

Electronic Nose ◽

Sensor Array ◽

Gas Sensor Array ◽

Artificial Neural ◽

Electronic Nose System

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Triple Flat-Type Inductive-Based Oil Palm Fruit Maturity Sensor

Sensors ◽

10.3390/s18082496 ◽

2018 ◽

Vol 18 (8) ◽

pp. 2496 ◽

Cited By ~ 3

Author(s):

Nor Aliteh ◽

Norhisam Misron ◽

Ishak Aris ◽

Roslina Mohd Sidek ◽

Kunihisa Tashiro ◽

...

Keyword(s):

Resonance Frequency ◽

Oil Palm ◽

Fixed Number ◽

Fresh Fruit Bunch ◽

Palm Fruit ◽

Flat Type ◽

Fruit Maturity ◽

The Mean ◽

Palm Fruits ◽

And Shifts

This paper aims to study a triple flat-type air coil inductive sensor that can identify two maturity stages of oil palm fruits, ripe and unripe, based on the resonance frequency and fruitlet capacitance changes. There are two types of triple structure that have been tested, namely Triple I and II. Triple I is a triple series coil with a fixed number of turns (n = 200) with different length, and Triple II is a coil with fixed length (l = 5 mm) and a different number of turns. The peak comparison between Triple I and II is using the coefficient of variation cv, which is defined as the ratio of the standard deviation to the mean to express the precision and repeatability of data. As the fruit ripens, the resonance frequency peaks from an inductance–frequency curve and shifts closer to the peak curve of the air, and the fruitlet capacitance decreases. The coefficient of the variation of the inductive oil palm fruit sensor shows that Triple I is smaller and more consistent in comparison with Triple II, for both resonance frequency and fruitlet capacitance. The development of this sensor proves the capability of an inductive element such as a coil, to be used as a sensor so as to determine the ripeness of the oil palm fresh fruit bunch sample.

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