scholarly journals STUDI USAHA TANI KELAPA SAWIT PETANI DI DESA SALIKI KECAMATAN MUARA BADAK BERDASARKAN PRODUKSI TBS DAN HARGA SAWIT

2021 ◽  
Vol 6 (2) ◽  
pp. 135-138
Author(s):  
Rizal Abdul Harisma Rizal ◽  
Sukariyan ◽  
Abdul Rasyid Zarta
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Qualitative Method ◽  
Secondary Data ◽  
Fresh Fruit ◽  
Primary Data ◽  
High Quality ◽  
Collection Method ◽  
Long Period ◽  
Fresh Fruit Bunches

This research is based on the background that oil palm plantations are a form of community farming that cultivates oil palm plants with production in the form of fresh fruit bunches (FFB) as one of their sources of livelihood, although investment in oil palm plantations requires a relatively long period of time compared to oil palm plantations. with other plantation commodities. The purpose of this study was to determine the oil palm farming business in Saliki Village based on FFB production and palm oil prices. The data collection method used in this study is a qualitative method, which is a research that is used if the research factors cannot be quantified or cannot be calculated so that the variables cannot be expressed with numbers such as perceptions, opinions, assumptions and so on. According to qualitative research theory, in order for the research to be of really high quality, the data collected must be complete, namely primary data and secondary data. From the results of this study, it can be concluded that oil palm farming in Saliki Village based on the production of fresh fruit bunches and the price of palm oil really helps farmers increase their income from farming by selling large quantities of produce and high selling prices. The income they generate from oil palm plantations can meet their daily needs. In addition, the community (oil palm farmers) can buy vehicles, renovate and even build houses from the results of the oil palm plantations. The results of this study are to provide information to the community in Saliki Village in order to be able to improve oil palm farming.

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 ANALISIS RANTAI PASOK TANDAN BUAH SEGAR (TBS) PADA PT. SANDABI INDAH LESTARI DI KABUPATEN BENGKULU UTARA

2017 ◽  
Vol 16 (1) ◽  
pp. 87-96
Author(s):  
Ira Primalasari ◽  
Bambang Sumantri ◽  
Sriyoto Sriyoto
Keyword(s):  
Supply Chain ◽  
Flow Pattern ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Fresh Fruit ◽  
Primary Data ◽  
Quantitative Descriptive Analysis ◽  
A Value ◽  
Fresh Fruit Bunches ◽  
Value Of Marketing

The objectives of this research were to determine the flow of supply chain Fresh Fruit Bunches in PT. Sandabi Indah Lestari (PT.SIL) and analysis the value of marketing margin earned each marketing agency in the supply chain Fresh Fruit Bunches in PT. SIL. Primary data and secondary data were used in this research which was taken in February 2016 to March 2016. Data collection was done by observation, recording and interviews. Data analysis technique was in this research quantitative descriptive analysis. Based on the results of this research concluded that there were three patterns of flow in the supply chain PT.SIL. The third stream of the supply chain, namely, supply chin flow pattern 1: non plasma farmers - traders - supplier - PT.SIL. The flow pattern of the supply chain II: non plasma farmers - supplier - PT.SIL. The flow pattern of the supply chain III : non plasma farmers – PT. SIL. The flow patterns of supply chain IV: plasma farmers - KSU-BKM - PT. SIL. Marketing margin obtained marketing agencies in the supply chain flow 1 was Rp 230/ kg. Stream supply chain II had a value of marketing margin Rp 230 / kg. The flow of the Supply Chain III had a value of marketing margin 0/Kg. The flow of the supply chain IV had a value of marketing margin of Rp 200 / Kg.Key words : Fruit Fresh Bunches, marketing margin, supply chain.

scholarly journals Efficiency and Marketing Margins Estimation of Oil Palm’s Fresh Fruit Bunches (FFB) in Labuhanbatu Utara and Asahan Regency

2019 ◽  
Vol 2 (2) ◽  
pp. 8-17
Author(s):  
Petrus Oktavianus Hutajulu ◽  
Diana Chalil ◽  
Surya Abadi Sembiring
Keyword(s):  
Palm Oil ◽  
Composite Index ◽  
Secondary Data ◽  
Marketing Channel ◽  
Marketing Channels ◽  
Fresh Fruit ◽  
Index Method ◽  
Palm Oil Mill ◽  
Fresh Fruit Bunches ◽  
Marketing Margins

This research study has reported different profit margin of smallholders in Labuhan Batu and Asahan which can be due to production’s cost incurred by smallholders. In addition, the price of fresh fruit bunches (FFB) of oil palm offered by eachtrader is also found different. This could be the differences in efficiency and the length of marketing channels traversed by partner and non-partner samllholders. The length of marketing chain was transferred to the marketing costs incurred and the margins received, so there is share for each marketing. Therefore such study is needed to estimate the marketing margins and channels of non-partner smallholders, partner smallholders, and explasma smallholders, the marketing functions carried out by each palm oil marketing channel in Kuala Hulu, factors that help samllholders choose marketing channels, increase marketing and the efficientcy of non-partner samllholders, partner smallholders, and explasma smallholders. The data used in this study are primary as well as secondary data. The analytical method used in the Shepperd’s Method, Acharya and Anggarwal’s Method, Composite Index Method, Marketing efficiency index method and Soekartawi Method. The analysis shows that there are 2 marketing channels, identified as Channel 1 : Smallholders-Middleman_RAM-Palm Oil Mill and Channel 2 : Smallholders-Middleman-Palm Oil Mill. The study has concluded that all smallholders do selling, transporting, standardization, risk bearing, and securing market information. Regular customer, services, contracts are figured out as the major reasons marketing agents choose marketing channels. The most efficient marketing channel is partner independent samllholders with the shortest channel.

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 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 Integrasi sustainability dan MCDM untuk kelayakan teknologi sterilisasi pada pendirian pabrik CPO terintegrasi palm kernel oil

2020 ◽  
Vol 12 (3) ◽  
pp. 398
Author(s):  
Sawarni Hasibuan ◽  
Hermawan Thaheer
Keyword(s):  
Palm Oil ◽  
Palm Kernel ◽  
Production Capacity ◽  
Secondary Data ◽  
Production Costs ◽  
Primary Data ◽  
Palm Fruit ◽  
Oil Processing ◽  
Yield And Quality ◽  
Fresh Fruit Bunches

In the palm oil processing, one of the most important stages is boiling the fresh fruit bunches or sterilization, because it greatly determines the yield and quality of the CPO produced. The purpose of this study was to analyze the selection of sterilizer technology by considering the sustainability factor. A case study was conducted at PTPN V which is planning to expand its production capacity. The data used in this study consisted of primary data and secondary data. Primary data obtained from distributing questionnaires, interviews and field observations. Respondents of this study were stakeholders of the palm oil mill and PTPN V. This research combines qualitative and quantitative approaches. Qualitative analysis was conducted to describe the sterilization technology for processing fresh oil palm fruit bunches into CPO. Financial viability is evaluated based on the best sterilization technology recommendations. The results of the analysis recommend horizontal sterilized-indexer technology as a priority, followed by vertical sterilization technology and continuous sterilization technology. By paying attention to the sustainability criteria, the PKS design is integrated with PKO. This integration has implications for energy efficiency, kernel transportation, other utility facilities, and even a number of work units and personnel. The investment for the construction of PKS with a capacity of 45 tons/hour using horizontal-indexer sterilization technology requires a fund of IDR 170.8 billion were declared feasible with an IRR of 26.64%, a positive NPV, a B/C ratio of 2.23, and a PBP of 6 years and 5 months. The results of the sensitivity analysis to the assumption of an increase in production costs of 6 percent have not changed the recommendation, as well as a decrease in factory processing capacity by 6 percent.

scholarly journals Ripeness Classification of Oil Palm Fresh Fruit Bunch Using an Optical Probe

2019 ◽  
Vol 8 (3) ◽  
pp. 72-77
Author(s):  
Nurmaya Sari ◽  
Minarni Shiddiq ◽  
Ramma Hayu Fitra ◽  
Nadia Zakyyah Yasmin
Keyword(s):  
Fluorescence Spectroscopy ◽  
Palm Oil ◽  
Oil Palm ◽  
Optical Probe ◽  
Fresh Fruit ◽  
Human Vision ◽  
Crude Palm Oil ◽  
Fresh Fruit Bunch ◽  
Fresh Fruit Bunches ◽  
Agriculture Products

Penggunaan spektroskopi fluoresensi yang nondestruktif bidang pertanian semakin intensif dilakukan khususnya untuk evaluasi produk pertanian. Sortasi dan grading Tandan Buah Segar (TBS) Kelapa Sawit sebelum memasuki proses produksi Crude Palm Oil sangat penting untuk memenuhi standar produksi dan ekspor. Sistem sortasi dan grading elektronik dibutuhkan untuk mengantikan metode sortasi manual mengandalkan penglihatan dan pengalaman. Pada penelitian ini probe optik yang terdiri dari laser dioda 640 nm dan dua fotodioda inframerah dalam konfigurasi triangulasi digunakan untuk mengevaluasi tingkat kematangan TBS kelapa sawit dan hubungannya dengan kekerasan buah dan tegangan fotodioda. Sampel terdiri dari 23 TBS Tenera. Buah kelapa sawit pada setiap TBS disinari laser pada tiga bagian yaitu pangkal, tengah dan ujung, setiap bagian terdiri dari tiga buah kelapa sawit. Tegangan keluaran dari kedua fotodioda dijumlahkan dan diperkuat oleh rangkaian multiboard komersial. Setelah tegangan diperoleh, ke-9 buah kelapa sawit dilepaskan dari TBS, tingkat kekerasan buah diukur mengunakan penetrometer. Hasil penelitian menunjukkan bahwa tingkat kematangan TBS mempunyai korelasi linier terhadap kekerasan buah dengan kekerasan yang tertinggi pada buah mentah sebesar 9,39 kg/cm2 dan terendah pada buah terlalu matang sebesar 5,64 kg/cm2. Nilai tegangan rata-rata terkecil pada buah mentah dan tertinggi pada buah matang kemudian turun pada buah lewat matang. Hasil K-means clustering menunjukkan pengelompokan 4 tingkat kematangan berdasarkan nilai kekerasan dan tegangan yaitu F0, F1, F2, dan F3. Applications of nondestructive fluorescence spectroscopy in agriculture have been intensively carried out especially to evaluate agriculture products. Sorting and grading oil palm fresh fruit bunches (FFB) before Crude Palm Oil milling processes are important tasks to meet the production and export standards. Electronic systems for sorting and grading of FFBs are needed to replace manual sorting method which depends on human vision and experience. In this study, an optical probe consisted of a 635 nm diode laser and two photodiodes was used to evaluate the ripeness level of oil palm FFB and its relation to both the fruitlet firmness and resulted photodiode voltages. Laser was directed to each of nine fruitlets of each FFB from three parts; basil, equatorial, and apical. Output voltages from each photodiode were summed and amplified by a commercially multi-board circuit. Then their firmness levels were obtained using a penetrometer. The results show that there is a linear correlation between the firmness levels and the FFB ripeness levels. The firmness values ranges from 9.39 kg/cm2 for unripe FFB and 5.64 kg/cm2 for overripe FFB. The highest voltage is obtained for ripe FFB and less for unripe and overripe FFB. K-means clustering results indicate that the overall ripeness levels are grouped into 4 levels of ripeness, namely F0, F1, F2 and F3 based on the values of hardness and the voltage of each sample.               Keywords: Fluorescence Spectroscopy, Oil Palm, Fresh Fruit Bunch, Firmness, Optical Probe

scholarly journals Expansion and Conflict at Oil Palm Plantations: A Case in Terantang Manuk Village, Pelalawan District, Riau

2021 ◽  
Vol 8 (3) ◽  
pp. 167-178
Author(s):  
Suryadi Suryadi ◽  
Arya Hadi Dharmawan ◽  
Baba Barus
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Rural Areas ◽  
Secondary Data ◽  
Sampling Technique ◽  
Primary Data ◽  
Land Conflicts ◽  
Youth Organization ◽  
The Social ◽  
Formal Expansion

The massive expansion of oil palm plantations has social, economic and environmental impacts. One of the social impacts caused by the expansion of palm oil plantations is social conflict, so the purpose of this research is to identify and analyze the relationship between expansion and conflict in oil palm plantations in Terantang Manuk Village, Pelalawan-Riau. Palm oil plantation expansion is one of the factors for the emergence of social conflicts in rural areas. This research was conducted using a qualitative approach. Primary data were collected through in-depth interviews with the determination of the informants using purposive sampling technique. There were 16 informants who were interviewed, consisting of the village head, hamlet head, customary chairperson (ninik mamak), community leaders, chairperson of Cooperative Terantang Jaya Mandiri (TJM), leader of youth organization, and leader of college student organization. Secondary data quoted from archives of public correspondence, court decisions, and information from the mass media. The results of this study indicate that there are two types of expansion, namely informal expansion and formal expansion. Informal expansion only causes land conflicts, while formal expansion causes more diverse conflicts, namely land conflicts and conflicts due to oil palm plantation activities.

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 

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