scholarly journals EVALUASI PENERAPAN STANDAR OPERASIONAL PROSEDUR KARYAWAN PANEN TERHADAP KUALITAS DAN KUANTITAS PANEN TANDAN BUAH SEGAR KELAPA SAWIT (Elaels guineensis jacq) SERTA HANCAK PANEN (Studi Kasus: PT. Sentosa Kalimantan Jaya)

2020 ◽  
Vol 5 (01) ◽  
pp. 46-54
Author(s):  
Lydia Apria Rosadi ◽  
Rusli Anwar ◽  
Rusmini

This research is motivated by the number of oil palm companies that require employees to do work according to standards companies such as harvest employees  who must harvest according to quality ripe fruit and harvest ripe reach the company's target, but in the statement the harvest work does not pay attention to operational standards procedures (SOP) that have been made and implemented in the company, so it is necessary carried out observations of the application of standard operating procedures for employees to harvest fresh fruit bunches (FFB). The objectives of this research are to identify the characteristics of respondents based on age, sex, work experience, education in general and to monitor the implementation of standard operating procedures for harvest employees on the quality and quantity of harvested fresh oil palm fruit bunches and harvest rights.Collecting data related to the implementation of harvest employee SOPs was obtained through the observation method, the interview method, and the documentation method.To analyze this data, data analysis was used in this study collected from research sources using descriptive analysis methods and Likert scale.

2018 ◽  
Vol 15 (1) ◽  
pp. 36
Author(s):  
Minarni Minarni ◽  
Roni Salumbae ◽  
Zilhan Hasbi

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.


2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Fikriman Fikriman ◽  
Arif Herdiansyah

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


Author(s):  
Elly Rahayu ◽  
Rohminatin Rohminatin ◽  
Wan Mariatul Kifti ◽  
Donni Nasution

This study aims to provide an overview of the importance of increasing creativity and innovation in facing the era of digitalization. STMIK Royal Kisararan as the research location where the population of the research is 120 students in 5th semester whose take IT entrepreneurship courses. Used cluster sampling as the sampling technique and the sample are 60 students. This research is designed as descriptive analysis research. The Techniques Data collection is done by structured interview method where the researcher composes several questions as interview guides. The observation method used is structured and non-participant observation. Structured observations and observed aspects are: Student's abilities to create something new and different (ability to create new and different), Creativity and innovation to solve problems, Student's understanding about business in IT field. While non-participant observation is done by observing through blogs, Instagram and other social media used by students in completing assignments. Interview results supported by observations show that respondents understand the current digital economic era where there have been changes from conventional ways towards modernization with the use of technology. Respondents were also able to identify opportunities and challenges faced in the future and be able to evaluate the competencies that must be possessed to be able to compete in the digital economy era.


Author(s):  
Munawar Thoharudin ◽  
Fatkhan Amirul Huda ◽  
Tedi Suryadi

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.


2021 ◽  
Vol 53 (4) ◽  
pp. 384-399
Author(s):  
Julius Olatunde AYINDE ◽  
Michael FAMAKINWA ◽  
Babatunde Opeyemi AKEREDOLU

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.


Konversi ◽  
2021 ◽  
Vol 10 (1) ◽  
Author(s):  
An Nisa Fitria ◽  
Vandhie Satyawira Gunawan ◽  
Mardiah Mardiah

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  


Kultivasi ◽  
2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Enceng Sobari ◽  
Ahmad Akmal Hasibuan ◽  
M. Subandi

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.


Author(s):  
Minarni Shiddiq ◽  
Lentina Br Sitohang ◽  
Ikhsan Rahman Husein ◽  
Sinta Afria Ningsih ◽  
Sri Hermonica ◽  
...  

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


Micromachines ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 806
Author(s):  
Norhisam Misron ◽  
Nisa Syakirah Kamal Azhar ◽  
Mohd Nizar Hamidon ◽  
Ishak Aris ◽  
Kunihisa Tashiro ◽  
...  

Oil palm is one of the key industries highly observed in Malaysia, due to its high demand both whether locally or internationally. The oil extraction rate (OER) in palm oil production is used as an element to identify the performance of the mills, estates and producers. In view of this, there are specific instrument or sensor needs to be implemented at the mills especially during the reception of fresh fruit bunches (FFB) transported from the field for oil content processing. This paper aims to study and propose the use of a fruit battery-based oil palm maturity sensor to analyse the effect of the sensor to various parameters. The study utilizes a charging method with different parameters, including a moisture content test on the palm oil samples. Three types of parameters are tested along with the different grades of oil palm fruit from different bunches, such as the load resistance, charging voltage and charging time. The repeatability data of the samples are obtained with the used list of values in each parameter. The results show that the parameters tested for the unripe, under ripe and ripe samples can affect the sensor sensitivity.


2018 ◽  
Vol 7 (4.11) ◽  
pp. 184
Author(s):  
S. A.M. Dan ◽  
F. H. Hashim ◽  
T. Raj ◽  
A. B. Huddin ◽  
A. Hussain

The current practice in determining oil palm fresh fruit bunches (FFB) ripeness is by its colour which could be inaccurate. This study investigates the classification of oil palm FFB ripeness using Raman spectroscopy. A feature extraction model is developed based on the different organic compositions that contribute to the ripeness classification. Samples are collected according to the Malaysian Palm Oil Board (MPOB) standards which are unripe, underripe, ripe, overripe, and rotten. Different characteristics of the Raman shift were detected which represent the material composition for each sample. The Raman intensity of the oil palm fruit increases from unripe to ripe before decreasing to rotten due to the carotenoid content in the fruit. In conclusion, Raman spectroscopy is a suitable technique to observe the changes in the composition of oil palm fruit classified by its ripeness.  


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