scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKTIVITAS TENAGA KERJA PEMANEN KELAPA SAWIT DI PT. PERKEBUNAN NUSANTARA III (PERSERO) MEDAN

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Tennisya Febriyanti Suardi ◽  
Trisna Insan Noor ◽  
Iwan Setiawan
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Work Motivation ◽  
Descriptive Analysis ◽  
Fresh Fruit ◽  
Partial Least Square ◽  
Least Square ◽  
Oil Palm Plantation ◽  
Fresh Fruit Bunches

AbstrakSektor perkebunan kelapa sawit memiliki nilai ekonomi tinggi sebagai penghasil minyak nabati yang paling banyak digunakan oleh masyarakat. Di perusahaan perkebunan kelapa sawit, aspek tenaga kerja langsung yang terlibat dalam proses produksi adalah pemanen kelapa sawit. Ini membutuhkan peningkatan produktivitas pemanen kelapa sawit untuk menghasilkan tandan buah segar berkualitas yang sesuai dengan tingkat pabrik kelapa sawit. Penelitian ini bertujuan untuk menganalisis menentukan produktivitas tenaga kerja pemanen kelapa sawit dan faktor-faktor yang mempengaruhinya serta pengaruh produktivitas panen terhadap kualitas tandan buah segar kelapa sawit. Metode penelitian yang digunakan adalah deskriptif kuantitatif dengan jumlah responden sebanyak 82 orang yang berprofesi sebagai pemanen kelapa sawit. Metode analisis menggunakan analisis deskriptif dan analisis PLS (Partial Least Square). Hasil penelitian menunjukkan bahwa produktivitas pemanen kelapa sawit berada dalam kategori sedang di mana ia bisa mendapatkan sebanyak 1700-2300 kilogram hasil per hari kerja. Faktor internal dan eksternal berpengaruh signifikan terhadap produktivitas pemanen. Faktor internal terbesar adalah motivasi kerja, sedangkan faktor eksternal terbesar adalah peluang untuk mencapainya. Kualitas tandan buah segar kelapa sawit di PT. Perkebunan Nusantara III (Persero) Medan dipengaruhi oleh produktivitas pemanen kelapa sawit.Kata kunci: produktivitas, kualitas, pemanen, kelapa sawit AbstractThe oil palm plantation sector has a high economic value as a producer of vegetable oil which is most widely used by the community. In an oil palm plantation company, the direct labor aspect involved in the production process is oil palm harvesters. This requires an increase in the productivity of oil palm harvesters to produce quality fresh fruit bunches that are in accordance with the grade of the palm oil mill. This study aims to analyze the determine labor productivity of oil palm harvesters and the factors that influence them and the effect of harvesting productivity on the quality of oil palm fresh fruit bunches. The research method used was descriptive quantitative with the number of respondents as many as 82 people who work as oil palm harvesters. The method of analysis uses descriptive analysis and PLS (Partial Least Square) analysis. The results of the study show that the productivity of oil palm harvesters was in the medium category where it can get as much as 1700-2300 kilograms of yield per working day. Internal and external factors have a significant effect on the productivity of harvesters. The biggest internal factor is work motivation, while the biggest external factor is the opportunity to achieve. The quality of palm oil fresh fruit bunches at PT. Perkebunan Nusantara III (Persero) Medan was influenced by the productivity of oil palm harvesters.Keywords: productivity, quality, harvesters, oil palm 

scholarly journals Ripeness Level Classification of Oil Palm Fresh Fruit Bunch Using Laser Induced Fluorescence Imaging

2019 ◽  
Vol 8 (3) ◽  
pp. 84-89
Author(s):  
Hefniati Ishak ◽  
Minarni Shiddiq ◽  
Ramma Hayu Fitra ◽  
Nadia Zakyyah Yasmin
Keyword(s):  
Fluorescence Imaging ◽  
Palm Oil ◽  
Oil Palm ◽  
Laser Light ◽  
Laser Induced Fluorescence ◽  
Fresh Fruit ◽  
Human Vision ◽  
Imaging Method ◽  
Crude Palm Oil ◽  
Fresh Fruit Bunches

Tingkat Kematangan Tandan Buah Segar (TBS) kelapa Sawit merupakan faktor penentu kualitas crude palm oil (CPO) yang dihasilkan pabrik kelapa sawit. Metode penyortiran TBS setelah panen atau sebelum memasuki proses perebusan pada umumnya dilakukan secara manual mengandalkan penglihatan dan pengalaman. Metode ini rentan kesalahan dan bersifat subyektif. Metode pencitraan berkembang sangat cepat karena kemajuan dalam bidang komputer dan teknik pengolahan citra, khususnya untuk sistem sortasi dan grading. Penelitian ini mengunakan metode pencitraan fluoresensi yang diinduksi laser untuk mengakses dan mengklasifikasi tingkat kematangan TBS kelapa sawit. Hubungan antara tingkat keabuan dan tingkat kekerasan buah TBS dianalisa. Sampel terdiri dari 27 TBS kelapa sawit varietas Tenera. Tingkat kematangan dikategorikan oleh pemanen berpengalaman menjadi mentah, matang, dan lewat matang. Tiga bagian TBS yaitu pangkal, tengah, dan ujung disinari laser dioda 640 nm mengenai 5 buah pada tiap bagian. Kemudian citra direkam mengunakan kamera CMOS monokrom. Selanjutnya 15 buah tersebut diuji tingkat kekerasan mengunakan penetrometer. Klasifikasi tingkat kematangan dilakukan mengunakan K-mean clustering. Hasil penelitian memperlihatkan bahwa metode pencitraan fluoresensi yang diinduksi laser potensial digunakan dalam mengklasifikasi tingkat kematangan TBS. Tingkat kekerasan buah berkorelasi positif terhadap tingkat keabuan citra TBS. K-mean clustering memperlihatkan tiga kelompok tingkat kematangan yang terdiri dari 0, 1 dan 2. Ripeness levels of oil palm fresh fruit bunches (FFB) are the main factor to determine the quality of crude palm oil (CPO) produced by Oil Palm Mill. Sorting oil palm FFB after harvest or before entering the boiling process is generally done manually which relies on human vision and experience. Imaging methods has developed vastly due to advances in computer and image processing techniques. This study used a laser-induced fluorescence imaging to access and classify the ripeness levels of oil palm FFB of Tenera variety. The relationship between gray value and the level of firmness of FFB fruit was analyzed. The samples consisted of 27 oil palm FFB categorized  by experienced harvester as unripe, ripe, and overripe. Laser light was shone on equatorial part of each FFB such that 5 fruitlets were covered by laser light, then the image of the front part was acquire using a monochrome CMOS camera. The step was repeated for basil and apical parts in sequent. All 15 fruitlets were testing for the firmness level using a penetrometer. Ripeness level classification was done using K-mean clustering. The results showed that the laser-induced fluorescence imaging method are potential to be used to determine the ripeness levels of FFB. The fruit firmness is positively correlated with the gray value of the image of FFB. K-mean clustering shows three ripeness centroid of 0, 1 and 2 . Keyword: Fluorecence Imaging, Oil Palm, Fresh Fruit Bunches, Firmness, Laser Induced Fluorecence

scholarly journals PENGARUH KONSENTRASI GIBERELIN (GA3) DENGAN WAKTU APLIKASI SEBELUM PANEN TERHADAP MUTU FISIK TANDAN BUAH SEGAR KELAPA SAWIT (Elaeis guineensis Jacq.)

2019 ◽  
Vol 1 (2) ◽  
pp. 62-70
Author(s):  
Sri Murti Tarigan ◽  
Eka Bobby Febrianto ◽  
Lufy Andria Cik
Keyword(s):  
Oil Palm ◽  
Elaeis Guineensis ◽  
Design Method ◽  
Block Design ◽  
Fruit Weight ◽  
Fresh Fruit ◽  
Physical Damage ◽  
Physical Quality ◽  
Fresh Fruit Bunches

Physical damage to fruit on oil palm fresh fruit bunches due to harvest and postharvest activities include injured fruit mesocarp, fruit weight loss, and loss in fruit bunches. One of the postharvest handlings that can maintain the physical quality of the fruit is by giving gibberellins (GA3). This research aims to determine the effect of the concentration of gibberellins (GA3) whit application time before harvest on the physical quality of postharvest oil palm fresh fruit bunches. The research was conducted at Afdeling VI Garden Cot Girek PT. Perkebunan Nusantara I and in the Cot Girek Palm Oil Factory laboratory. The time of the research was conducted in June until July 2019. The study used a non factorial randomized block design method with 4 treatment levels (0 mg/l, 50 mg/l, 100 mg/l, and 150 mg/l) with 3 replications. The administration of gibberellins has a significant effect on fruit loss and fruit weight reduction with the best concentration of gibberellins is 50 ppm but does not have a significant effect on pH, moisture content, and fruit free fatty acids.

scholarly journals STUDY OF THE UTILIZATION OF PALM OIL INDUSTRY LIQUID WASTE

Konversi ◽  
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  

scholarly journals PENGARUH KEPEMIMPINAN DAN PEMBERDAYAAN TERHADAP MOTIVASI DAN KINERJA PEGAWAI

2017 ◽  
pp. 3291
Author(s):  
I Putu Magna Anuraga ◽  
Desak Ketut Sintaasih ◽  
I Gede Riana
Keyword(s):  
Work Motivation ◽  
Employee Performance ◽  
Descriptive Analysis ◽  
Partial Least Square ◽  
Department Of Education ◽  
Least Square ◽  
Significant Positive Effect ◽  
And Performance ◽  
A Company ◽  
Positive Effect

Performance is the result of work produced by employees in accordance with its role in the organization. Employee performance is one very important thing in a company to achieve the goal that every effort should be made to the company of increasing. This study aimed to analyze the influence of leadership and empowerment of employees on work motivation and performance of employees. This research was conducted at the Department of Education Youth and Sports Regency Tabanan using sample that 59 employees. Data were collected by conducting interviews and questionnaires. Subsequently collected data were analyzed using descriptive analysis and Partial Least Square. The results of this study concluded that the leadership is significant positive effect on work motivation. Empowerment is significant positive effect on employee performance and motivation. Work motivation is significant positive effect on employee performance. Furthermore, Leadership is not significant positive effect on employee performance.

scholarly journals Development of Image Based Modeling for Determination of Oil Content and Days Estimation for Harvesting of Fresh Fruit Bunches

2009 ◽  
Vol 5 (2) ◽  
Author(s):  
Mohd. Hudzari Razali ◽  
Wan Ishak Wan Ismail ◽  
Abdul Rahman Ramli ◽  
Md. Nasir Sulaiman ◽  
Mohd. Haniff Harun
Keyword(s):  
Oil Palm ◽  
Oil Content ◽  
Oil Extraction ◽  
Fresh Fruit ◽  
Extraction Rate ◽  
Outdoor Environment ◽  
Oil Palm Plantation ◽  
Fresh Fruit Bunches ◽  
Palm Fruits ◽  
Relationship Of

In this study, the relationship of oil extraction rate (OER) and fruit ripeness will be determined. The sample of oil palm fruits was collected from the unripe until the overripe stage and the oil content of the mesocarp for fresh fruit bunches (FFB) was extracted by using bunch analysis procedure to get the oil extraction rate. Using the same samples of FFB, the pixel value of images which measure in hue, was determined by developed image analysis software. The images were captured under an outdoor environment in an oil palm plantation. The sunlight intensity of environment was recorded using Extech light meter at various times of the day from morning to afternoon in the oil palm plantation. The result of the experiment that showed a good relationship was found between the oil content of FFB with its image pixel values. The mathematical model was developed in determining the optimum days for FFB harvesting.

scholarly journals Implementation of Backpropagation Artificial Neural Networks to Predict Palm Oil Price Fresh Fruit Bunches

2018 ◽  
Vol 2 (1) ◽  
pp. 26
Author(s):  
Edi Ismanto ◽  
Noverta Effendi ◽  
Eka Pandu Cynthia
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Palm Oil ◽  
Oil Palm ◽  
Influential Factors ◽  
Fresh Fruit ◽  
Selling Price ◽  
Architecture Model ◽  
Artificial Neural ◽  
Fresh Fruit Bunches

Riau Province is one of the regions known for its plantation products, especially in the oil palm sector, so that Riau Province and regional districts focus on oil palm plants as the main commodity of plantations in Riau. Based on data from the Central Bureau of Statistics (BPS) of Riau Province, the annual production of oil palm plantations, especially smallholder plantations in Riau province has always increased. So is the demand for world CPO. But sometimes the selling price of oil palm fresh fruit bunches (FFB) for smallholder plantations always changes due to many influential factors. With the Artificial Neural Network approach, the Backpropagation algorithm we conduct training and testing of the time series variables that affect the data, namely data on the area of oil palm plantations in Riau Province; Total palm oil production in Riau Province; Palm Oil Productivity in Riau Province; Palm Oil Exports in Riau Province and Average World CPO Prices. Then price predictions will be made in the future. Based on the results of the training and testing, the best Artificial Neural Network (ANN) architecture model was obtained with 9 input layers, 5 hidden layers and 1 output layer. The output of RMSE 0000699 error value and accuracy percentage is 99.97% so that it can make price predictions according to the given target value.

scholarly journals STUDI PERBANDINGAN RANTAI PEMASARAN TANDAN BUAH SEGAR KELAPA SAWIT DI DESA JONGGON KABUPATEN KUTAI KARTANEGARA

2020 ◽  
Vol 5 (02) ◽  
pp. 142-150
Author(s):  
Ahmad Reza Vahlevi ◽  
Ernita Obeth ◽  
Budi Winarni ◽  
Budi Winarni
Keyword(s):  
Supply Chain ◽  
Palm Oil ◽  
Oil Palm ◽  
Marketing Channel ◽  
Fresh Fruit ◽  
Raw Material ◽  
Crude Palm Oil ◽  
Oil Processing ◽  
Cooperative Processing ◽  
Fresh Fruit Bunches

This research is motivated by oil palm farmers, which is in contrast to the high demand for fresh fruit bunches, as the main raw material for producing crude palm oil. On the other hand, oil palm smallholders are also involved in several different supply chains. The purpose of this study was to determine the management of fresh fruit bunches  marketing and the amount of profit received by farmers through the marketing of oil palm fresh fruit bunches  in Jonggon Village, Kutai Kartanegara Regency. The analytical method used is descriptive quantitative and marketing margin analysis. The method of determining respondents used purposive sampling method and the respondents in this study were plasma and non-plasma farmers, collector traders and plasma cooperatives, and crude palm oil processing factories owned by PT. Niaga Mas Gemilang in Jonggon Village, Kutai Kartanegara Regency. The results of the respondents' research are in 2 running marketing channels, namely the first marketing channel, namely farmer-cooperative-processing factory, and the second one is farmer-trader-processing factory. Farmers involved in the first supply chain get a profit of Rp. 900 / kg and the farmers involved in the second supply chain get a profit of Rp. 1070 / kg.

scholarly journals Implementasi Algoritma K-Means Clustering dalam Menentukan Blok Tanaman Sawit Paling Produktif

2019 ◽  
Vol 1 ◽  
pp. 338
Author(s):  
Irfan Maulana Pulungan ◽  
Saifullah Saifullah ◽  
M Fauzan ◽  
Agus Perdana Windarto
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Clustering Method ◽  
Oil Palm Plantation ◽  
The Future ◽  
State Owned Enterprise ◽  
The Many

PTP.Nusantara-IV (Persero) especially in the Marjandi Gardens located in Panombean Panei, Simalungun Regency is an Indonesian state-owned enterprise engaged in the plantation sector, one of which is Oil Palm. Among the many oil palm plantation blocks, there are productive and unproductive oil palm plant blocks. Unproductive blocks affect the profits of Marjandi Gardens in the production of Palm Oil. Therefore, it is necessary to conduct research to find out the most productive and unproductive blocks of Oil Palm Plants. This study was conducted in Afdeling III Marjandi Gardens with oil palm planting years 2005 and 2006. The method used was the K-Means Clustering method, the blocks were divided into 2 Clusters namely High Clusters for the most productive blocks and Low Clusters for unproductive blocks. Based on the research that has been done, the results obtained are the number of 14 blocks of the most productive oil palm plants, namely (BM, BN, BO, BP, BR, BY, CE, CF, CK, CY, DE, DF, DG) and 26 blocks of plants Oil palm is unproductive, namely (BL, BQ, BS, BW, BX, BZ, CA, CB, CD, CG, CL, CM, CN, CO, CP, CQ, CR, CS, CW, CX, DA, DB, DC, DD). It is expected that the company can develop the most productive oil palm block so that the quality of the oil palm plant blocks is always maintained. As for the unproductive oil palm plant blocks, the company can make repairs to produce a productive block of oil palm in the future.

scholarly journals Palm oil sustainability partnership: implementation and connection with farmers income

2018 ◽  
Vol 52 ◽  
pp. 00016
Author(s):  
Ernawati Hamid ◽  
Zakky Fathoni ◽  
Mirawati Yanita
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Business Strategy ◽  
Process Management ◽  
Descriptive Analysis ◽  
Survey Method ◽  
Oil Palm Plantation ◽  
Maximum Value ◽  
And Performance ◽  
Oil Company

Partnership is a business strategy that performed by two or more parties in a certain period to obtain the benefits together with the principle of mutual need and mutual rearing. The study aims to observe and assess the implementation of the oil palm agribusiness partnerships and analyze the level of farmers’ income. This research used a survey method. Descriptive analysis is used in data analysis, to provide an overview of the implementation of partnerships applied by oil palm plantation companies in Jambi Province. The results showed that agribusiness partnerships that implemented by the palm oil company basically has managed to create independent farmers who can canalize the aspirations of farmers, both in KKPA and PIR Trans pattern. Empirically, the maximum value and benefit aspects of process management partnerships as an indicator of the level of performance partnerships oil palm plantation companies in Jambi Province is quite high, has reached 82.5%. But these facts have not been fully supported by a partnership of cooperation actors, in the sense that the level of achievement of the implementation aspects of the value of partnership firm activities and performance of oil palm plantations has reached approximately 71%

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