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All Journal AGRIVITA, Journal of Agricultural Science SAINS TANAH - Journal of Soil Science and Agroclimatology Jurnal Penelitian Kelapa Sawit Journal of Agricultural and Biosystem Engineering Research
Muhdan Syarovy
Pusat Penelitian Kelapa Sawit (PPKS), Medan 20158
Agriculture, Biological Sciences & Forestry Control & Systems Engineering Education Energy Industrial & Manufacturing Engineering Mechanical Engineering

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Analisis Perilaku Air Di Perkebunan Kelapa Sawit Pada Tanah Spodosol dan Ultisol Menggunakan Soil Moisture Content Monitoring System (SMCMS) Sukarman, Sukarman; Sutiarso, Lilik; Suwardi, Suwardi; Wirianata, Herry; Prima Nugroho, Andri; Primananda, Septa; Syarovy, Muhdan; Pradiko, Iput; Hijri Darlan, Nuzul
Jurnal Penelitian Kelapa Sawit Vol 32 No 1 (2024): Jurnal Penelitian Kelapa Sawit
Publisher : Pusat Penelitian Kelapa Sawit

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22302/iopri.jur.jpks.v32i1.270

Abstract

Ketersediaan air merupakan aspek yang sangat penting agar kelapa sawit dapat tumbuh dan berproduksi secara optimal. Tujuan penelitian ini adalah untuk menganalisis perilaku air melalui monitoring dinamika kelembaban dan suhu tanah menggunakan Soil Moisture Content Monitoring System (SMCMS). SMCMS terdiri atas sensor yang dipasang di lapangan dan sistem monitoring berbasis internet. SMCMS dipasang di perkebunan kelapa sawit pada tanah Ultisol (A), Spodosol dengan perlakuan pecah hardpan dan mounding (B), dan Spodosol tanpa perlakuan (C). Sensor kelembaban dan suhu tanah dipasang pada tiga kedalaman yang berbeda. Hasil menunjukkan bahwa SMCMS dapat beroperasi secara otomatis dan real-time dalam mengukur perilaku air. Berdasarkan hasil monitoring dan pengukuran, dapat diketahui bahwa kelembaban tanah tertinggi terdapat pada lokasi A dengan rerata 46,91%, kemudian diikuti lokasi B 38,40%, dan C yaitu 29,49%. Spodosol dengan perlakuan (B) memiliki suhu tanah terendah dengan rerata 27,36°C, kemudian diikuti Ultisol (A) 27,58°C, dan Spodosol kontrol (C) 28,40°C. Lebih lanjut, kelembaban tanah berkorelasi lemah dengan suhu tanah. Suhu tanah memiliki korelasi yang lemah dengan suhu udara. Sementara itu, kedua perilaku air tanah tersebut memiliki korelasi yang sangat lemah dengan variabel lingkungan, khususnya curah hujan.
EFEK KEKERINGAN DAN GANGGUAN ASAP TERHADAP EKOFISIOLOGI DAN PRODUKTIVITAS TANAMAN KELAPA SAWIT DI SUMATRA SELATAN Syarovy, Muhdan; Pradiko, Iput; Listia, Eka; Darlan, Nuzul Hijri; Hidayat, Fandi; Winarna, Winarna; Rahutomo, Suroso
Jurnal Penelitian Kelapa Sawit Vol 25 No 3 (2017): Jurnal Penelitian Kelapa Sawit
Publisher : Pusat Penelitian Kelapa Sawit

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (227.781 KB) | DOI: 10.22302/iopri.jur.jpks.v25i3.31

Abstract

Prolonged dry season, land fire, and haze disturbance occurred during El Niño 2015 in Indonesia. A study had been conducted to identify impacts of prolonged dry season and haze disturbance on ecophysiology of oil palm in Dawas Estate, South Sumatra. The study was conducted by collecting data of precipitation, visibility, oil palm fronds addition, rate of photosynthesis, Photosinthetically Active Radiation (PAR), and Elaeidobius kamerunicus activity on mature and immature palm before, during and after the incidence of drought and haze disturbance. T test was used for statistics analysis. The results showed that water deficit was recorded in July, August, September and October, it was 45, 92, 80, and 148 mm respectively. Dry month (precipitation was ≤ 60 mm) was 2 months, while dry spell occurred 3 times in June to July (33 days), August to September (42 days), and September to October (40 days). Haze disturbance occurred in August to November, it had decreased visibility to 80%. During drought stress and haze disturbance, there was decrease in fronds addition, photosynthesis rate and bunch productivity in following year. In addition, haze disturbance had decreased number of Elaeidobius kamerunicus visitting female flowers up to 95%.
Klasifikasi Kematangan Buah Kelapa Sawit Menggunakan Model Yolov8 Berbasis Deep Learning Muna, Mukhes Sri; Setiyo, Yohanes; Wirawan, I Putu Surya; Syarovy, Muhdan; Jaya, Gigieh Henggar
Journal of Agricultural and Biosystem Engineering Research Vol 6 No 1 (2025): Journal of Agricultural and Biosystem Engineering Research: Regular Issue
Publisher : Program Studi Teknik Pertanian, Fakultas Pertanian, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jaber.2025.6.1.15953

Abstract

Determining the ripeness level of oil palm fruit is a crucial aspect in enhancing the efficiency and quality of palm oil production. To date, most ripeness classification processes are still manually conducted, leading to inconsistencies and human error. This study aims to develop an oil palm fruit ripeness classification model using YOLOv8, a state-of-the-art deep learning architecture known for its excellence in computer vision tasks. The dataset consists of six ripeness classes, divided into training, validation, and testing sets sourced from the Roboflow platform. The training process involved five YOLOv8 sub-models with optimized parameter configurations. Evaluation was carried out using MAPE and confidence score metrics to measure prediction accuracy. The results showed that all sub-models successfully classified fruit ripeness with high accuracy, with YOLOv8l-cls achieving the lowest MAPE value of 0.01167. These, confirm that the YOLOv8-based approach is highly effective in supporting automated classification of oil palm fruit ripeness, offering faster, more accurate, and consistent results, and holds strong potential for widespread application in the plantation industry.
The Quantitative Analysis of Weather and Soil Moisture Role on Daily Transpiration Dynamics of Oil Palm Varieties (Elaeis guineensis Jacq.) Pradiko, Iput; Thirafi, Dhaffa Agung; Putra, Eka Tarwaca Susila; Sumaryanto, Sumaryanto; Syarovy, Muhdan; Darlan, Nuzul Hijri; Sujadi, Sujadi; Hutagalung, St Novella Angelica; Farrasati, Rana; Syarif, Afiya Nadhifah
AGRIVITA Journal of Agricultural Science Vol 48, No 1 (2026)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v48i1.4713

Abstract

The purpose of the study is to estimate and determine the in-situ transpiration dynamics of three oil palm varieties, which include DxP Langkat, DyP Dumpy, and DxP PPKS 540, using the Ratio Method (HRM) to measure real-time sap flow (SF). Field observations in Adolina, North Sumatra, were conducted in September, October, and December 2023 to collect data on macro- and microweather and soil moisture at varying distances from sample trees. Vapor pressure deficit (VPD) and solar radiation (QS) were among the key environmental factors that had strong associations with SF. Up to 82.24% of SF variability was explained by VPD and QS. DxP PPKS 540 recorded the highest transpiration rate of 1.70 mm/day because it had a higher leaf area (9.00 m2), and a bigger petiole cross-section (52.50 cm2). DxP Langkat, on the other hand, had the lowest transpiration rate at 1.49 mm/day. The results indicated the significance of VPD and QS in controlling sap flow and suggested that transpiration varied among varieties. This study provides an understanding of the physiological variation among oil palm varieties and a basis for future use in determining genotypes with increased drought resistance and adaptability to enhance resilience in new climatic conditions.
Implementasi Model YOLOv5 untuk Estimasi Jumlah Tanaman Kelapa Sawit (Elaeis guineensis Jacq.) Sri Muna, Mukhes; Syarovy, Muhdan; Suwardi, Suwardi; Prima Nugroho, Andri; Setiyo, Yohanes; Surya Wirawan, I Putu
Jurnal Penelitian Kelapa Sawit Vol 34 No 1 (2026): Jurnal Penelitian Kelapa Sawit
Publisher : Pusat Penelitian Kelapa Sawit

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22302/iopri.jur.jpks.v34i1.335

Abstract

Deteksi dan estimasi jumlah tanaman kelapa sawit merupakan aspek penting dalam pengelolaan perkebunan. Metode konvensional yang mengandalkan pencatatan manual memiliki kelemahan dalam hal efisiensi, akurasi, dan biaya. Oleh karena itu, penelitian ini mengimplementasikan model YOLOv5 sebagai pendekatan berbasis deep learning untuk mendeteksi tanaman kelapa sawit dari citra udara. Dataset yang digunakan dalam penelitian ini diperoleh dari gambar hasil foto udara perkebunan kelapa sawit PT Kerry Sawit Indonesia (KSY) 1 dan telah melalui tahapan pra-pemrosesan, pelabelan, serta pelatihan menggunakan Google Colaborator. Evaluasi dilakukan dengan menggunakan data uji dari gambar hasil foto udara kebun percobaan Pusat Penelitian Kelapa Sawit. Hasil evaluasi menunjukkan bahwa model YOLOv5 memiliki tingkat akurasi sebesar 96,85%, presisi 98,48%, recall 98,32%, dan F1-score 98,40%. Dibandingkan dengan metode sebelumnya, YOLOv5 menunjukkan keseimbangan antara kecepatan deteksi dan akurasi yang tinggi, menjadikannya solusi yang lebih efektif untuk estimasi jumlah tanaman kelapa sawit dalam skala besar.
Effects of mounding on soil properties, root development, and physiological responses of Ganoderma boninense-infected and uninfected oil palms Syarovy, Muhdan; Sumaryanto, Sumaryanto; Nugroho, Syarul; Siregar, Valdi Muhamad Rafiansyah; Wijayanti, Eka
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 22, No 2 (2025): December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v22i2.94443

Abstract

Basal stem rot (BSR), caused by Ganoderma boninense, is a major disease in oil palm plantations, leading to significant losses. Currently, there is no fully effective method to control this disease. This study evaluated the effects of mounding techniques on root development in both Ganoderma-infected and uninfected oil palms over 8 months. The research was conducted across six plantations in North Sumatra, where root biomass was measured by uncovering a quarter of the mounded area and analyzing the soil's physical and chemical properties. The results showed that, although most soil properties were comparable, cation exchange capacity (CEC) and magnesium (Mg) levels were higher in uninfected palms. Root growth increased in both infected and uninfected palms from three to eight months after mounding, but by the seventh and eighth months, the root biomass in infected palms was lower compared to uninfected palms. Infected palms primarily showed the growth of primary-like roots, whereas uninfected palms exhibited more extensive tertiary and quaternary roots. The study concluded that while mounding stimulates root development, Ganoderma infection limits this growth. These findings have important implications for improving disease management strategies in oil palm plantations.
Mounding technique improves physiological performance and yield of oil palm on Spodosols Suwardi, Suwardi; Sutiarso, Lilik; Wirianata, Herry; Nugroho, Andri Prima; Pradiko, Iput; Ginting, Eko Noviandi; Darlan, Nuzul Hijri; Syarovy, Muhdan; Primananda, Septa; Sukarman, Sukarman
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 19, No 2 (2022): December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v19i2.65460

Abstract

Spodosols have been widely used for oil palm plantations, specifically in Kalimantan, Indonesia. However, they are sub-optimal for agriculture due to a lack of water and nutrient-holding capacity and a spodic layer that limits plant root development. Therefore, proper agriculture practices are needed for oil palm to enhance its potential yield. This study aims to determine the effect of the mounding technique on the physiological performance and yield of oil palms in spodosol. The study location was well-managed, with eight blocks of oil palm plantations planted in 2008 on spodosols (Typic Haplohumod) in Central Kalimantan. The mounding technique was applied to four blocks of oil palm planted in 2015, while the remaining four were left without mounding. The parameters observed were soil moisture, transpiration, number of bunches, bunch weight, and yield. The results showed that the average moisture in the mounded soil was 4% greater than the control.  Additionally, the average daily transpiration of oil palm with the mounding was up to 2.30 mm day-1 or three times higher than the control.  The implication was that the average yield of oil palm increased from approximately 1.84 to 3.71 tons ha-1 year-1 compared to no-mounding treatments. Furthermore, the average yield was 19-66% higher than the block without the mounding application.
Co-Authors Andri Prima Nugroho Eka Listia Eka Tarwaca Susila Putra Eka Wijayanti Eko Noviandi Ginting, Eko Noviandi Fandi Hidayat, Fandi Farrasati, Rana Henggar Jaya, Gigieh Hijri Darlan, Nuzul Hutagalung, St Novella Angelica I Putu Surya Wirawan Lilik Sutiarso Muna, Mukhes Sri Nugroho, Syarul Nuzul Hijri Darlan Pradiko, Iput Prima Nugroho, Andri Primananda, Septa Rahutomo, Suroso Siregar, Valdi Muhamad Rafiansyah Sri Muna, Mukhes Sujadi Sujadi Sukarman Sukarman Sumaryanto Sumaryanto, Sumaryanto Surya Wirawan, I Putu Suwardi Suwardi Syarif, Afiya Nadhifah Thirafi, Dhaffa Agung Winarna Winarna Wirianata, Herry Yohanes Setiyo