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JURNAL BUDIDAYA PERTANIAN
Published by Universitas Pattimura
ISSN : 18584322     EISSN : 2620892X     DOI : -
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
JURNAL BUDIDAYA PERTANIAN (Journal of Agriculture) first published in 2003 by the Department of Agriculture, Faculty of Agriculture, Pattimura University. Jurnal Budidaya Pertanian is an official publication of the Agriculture Faculty, Pattimura University, publishes primary research paper, review article, policy analysis, and research notes and preliminary results in all areas of agronomy. Manuscripts could be written either in English or in Indonesia.
Arjuna Subject : -
Articles 170 Documents
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Identification of Morphological Characters of Cassava (Manihot esculenta Crantz) Local Varieties in Leihitu District, Central Maluku Regency Frederikus S Sikteubun; Jacob R Patty; Francina Polnaya
JURNAL BUDIDAYA PERTANIAN Vol 18 No 2 (2022): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp.2022.18.2.116

Abstract

Cassava (Manihot esculenta Crantz) which belongs to the Euphorbiaceae family is a plant that has long been known and cultivated by the people of Indonesia. The process of plant adaptation will cause changes in the shape, size, color and yield of plants. The Cassava breeding program in Indonesia aims to assemble varieties with a high yield, tolerance to major pests and diseases, non-intensive branching, good tuber shape, tolerance to certain soil and climatic conditions, and early maturity. This study aimed to obtain the morphological characters of several varieties of cassava in the Leihitu District. This research was conducted in Leihitu District, Central Maluku Regency, eight villages were used as research locations, namely Morella Village, Mamala Village, Hitu Messeng Village, Hitu Lama Village, Wakal Village, Hila Village, Kaitetu Village and Seith Village. This study used a descriptive analysis method. The results showed in 8 villages in Leihitu District, we found 8 different varieties of cassava plants, namely Inggris, Bistein, Keras/Pahit, Bubur/Lunak, Sukabumi, Kapok and Mentega. The diversity of cassava varieties was very high in Kaitetu Village, whereas the diversity was low in Morella Village and Mamala Village. Based on the dendrogram formed, there were 2 clusters, 3 clusters, 4 clusters, 5 clusters, 6 clusters, and 7 kinship clusters with a kinship distance scale of 5, 10, 11, 13, 18, and 25.
Diversity of Macroscopic Fungal Types in South Leitimur District, Ambon City Ebedh Barlef Lorwens; Jogeneis Patty; Costanza Uruilal
JURNAL BUDIDAYA PERTANIAN Vol 18 No 2 (2022): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp.2022.18.2.123

Abstract

Macroscopic fungi are eukaryotic, heterotrophic, cosmopolitan organisms, have fruit bodies large enough to be seen without using tools, and vary in morphology, size, and color. This research was carried out in two villages in Leitimur Selatan District, Ambon City, namely Hutumuri and Ema, from May 2022 to July 2022. Macroscopic fungal samples were obtained during a survey using the exploration method. Sampling locations were based on predetermined transect lines and random fungal samples were taken at each location. Identification in the laboratory was carried out to determine the type of mushroom, fruit body shape, color, and size of the mushroom. The data obtained was then analyzed qualitatively and quantitatively. The research results obtained 32 species of fungi consisting of two divisions, namely Ascomycota and Basidiomycota, as well as 18 families. The frequency of the presence of fungi in Leitimur Selatan District was the highest at 19.6% and the lowest at 0.1%, and the fungal populations found lived either alone or in colonies. Based on Hierarchical Cluster Analysis (HCA), macroscopic fungi at the research location were divided into two large groups with a dissimilarity coefficient of 31%. The main differentiating character based on Principle Component Analysis (PCA-Biplot) found that the characteristic character in the descriptor of seven fungal species was the lamella character, and the differentiating character in the descriptor of two fungal species was the pore characteristics and pore size.
Identification and Morphological Characterization of Sugar Palm Plants (Arenga pinnata Merr.) Growing on Different Altitudes Hasibuan, Halimatus Syahdia; Wisnubroto, Muhammad P; Edwin, Edwin; Rezki, Dewi; Yulistriani, Yulistriani
JURNAL BUDIDAYA PERTANIAN Vol 19 No 2 (2023): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp.2023.19.2.99

Abstract

Trees of sugar palm (Arenga pinnata Merr.) can grow at an altitude of 0-1400 m above sea level. The best growth of the trees is at an altitude of 500-700 m above sea level. Sugar palm trees also have a wide adaptability to various environmental conditions. The purpose of this research was to determine the morphological characteristicss of sugar palm plants grown at an altitude of 500, 650, and 900 m above sea level so that the kinship relationship can be known. This research was conducted at three altitudes in Lareh Sago Halaban District, Lima Puluh Kota Regency, West Sumatra, namely Nagari Labuah Gunung (altitude 900 m above sea level), Nagari Bukik Sikumpa (altitude 650 m above sea level), and Nagari Tanjung Gadang (altitude 500 m above sea level) from July to August 2023. The method used was a survey with a purposive sampling technique. Identification was carried out on 36 morphological characters, including stems, leaves, fibers, fruits, and seeds. The data obtained were analyzed for their diversity and similarity. The results of the identification and characterization of qualitative and quantitative morphological characters at three different altitudes showed a relatively narrow diversity value. The overall morphological characters of the sugar palm plants were divided into 2 large groups with a coefficient value of 0.72 or 72% similarity distance.
Aplikasi Pupuk Cair dari Limbah Organik dan Nano Nutrien pada Berbagai Varietas Ubi Kayu (Manihot esculenta Crantz) Iftitah, Siti N; Susilowati, Yulia E; Historiawati, Historiawati; Astiningrum, Murti; Novita, Woro A; Damayanti, Alfina R
JURNAL BUDIDAYA PERTANIAN Vol 19 No 2 (2023): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp.2023.19.2.137

Abstract

Increasing cassava production can be achieved among others by giving various forms of fertilizer to provide the nutrients needed by plants. This research aimed to determine the effect of applying liquid fertilizer from organic waste and nano nutrients on the growth of various cassava varieties. The research was carried out from March to November 2023, at the experimental field of the Faculty of Agriculture, Tidar University, in Sidorejo Village, Bandongan District, Magelang Regency. The experimental research was carried out using a factorial design in a Split Plot experiment with 3 replications as blocks. The first factor was the types of varieties consisting of Sticky Rice, Butter, Klenteng, and Rengganis. The second factor as a subplot is liquid fertilizer in the form of slaughterhouse waste and nano nutrients. The data were analyzed using analysis of variance and followed by a Least Significant Difference test at the a = 0.01 and 0.05 levels, as well as the orthogonal test. The results showed that the type of variety used did not have a significant effect on the variables of plant height increase, branch number, branch height, leaf number, root number, root fresh weight, and photosynthesis rate. Rengganis variety had a very significant effect on leaf chlorophyll levels. The application of liquid organic fertilizer, both from slaughterhouse waste and nano nutrients, did not have a significant effect on the variables of plant height increase, branch number, branch height, leaf number and root fresh weight. Liquid fertilizer from slaughterhouse waste hah a significant effect on root number, whereas nano nutrient fertilizer had a significant effect on the rate of photosynthesis and has a very significant effect on leaf chlorophyll content. There was an interaction between varieties and the provision of liquid fertilizer on leaf chlorophyll content.
Optimalisasi Citra Termal dalam Pertanian Presisi untuk Deteksi Dini Masalah Kesehatan Bibit Kelapa Sawit Melidawati, Melidawati; Sofi’i, Imam; Fauziah, Wahyu K
JURNAL BUDIDAYA PERTANIAN Vol 19 No 2 (2023): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp.2023.19.2.106

Abstract

The palm oil industry plays a pivotal role in various sectors, including food and bioenergy. The success of oil palm cultivation relies heavily on the health of the plant's seedlings. Early detection of diseases and stress is crucial to prevent a decline in crop yields and financial losses. Infrared Thermography technology has been widely employed across various fields for non-destructive monitoring, including agriculture. This research focuses on optimizing the use of thermal imaging in precision agriculture to early detect health issues in oil palm seedlings. Thermal imaging enables the precise measurement of plant surface temperatures, facilitating the identification of plant health issues without the need for further visual intervention. This study has the potential to transform approaches to proactively monitoring and managing the health of oil palm plants. Infrared thermography technology is utilized to observe temperature distribution patterns in oil palm seedlings. The objective is to explore the correlation between thermal characteristics and potential health issues or symptoms in these seedlings. Samples used in the research involve Tenera variety oil palm seedlings aged between 5-9 months, a critical growth phase. The study employs the UNI-T UTi120 Mobile thermal camera capable of measuring temperatures ranging from -20°C to 400°C. Subsequently, thermal image processing is conducted to identify thermal characteristics that could serve as indicators of health issues in oil palm seedlings. Statistical analysis is then performed to test significant differences in thermal characteristics between healthy and unhealthy plant samples. The analysis results reveal significant temperature variations between healthy and unhealthy portions of the plant seedlings, with a significance value of 0,025. These findings can serve as a basis for identifying temperature changes as potential early indicators of health issues in oil palm seedlings. This provides a foundation for developing more effective precision agriculture approaches within the palm oil industry.
Optimasi Deteksi Dini Masalah Kesehatan Bibit Kelapa Sawit dengan JST MLP Berbasis Citra Termal Fauziah, Wahyu K; Sofi’i, Imam; Melidawati, Melidawati
JURNAL BUDIDAYA PERTANIAN Vol 19 No 2 (2023): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp.2023.19.2.111

Abstract

Palm oil has an important role in the palm oil industry, but health problems in the seeds threaten production results. This research advocates an innovative approach by combining thermal imaging technology and artificial intelligence, especially Multilayer Perceptron Artificial Neural Networks (MLP ANN), for early detection of health problems in oil palm seedlings. The use of thermal cameras makes it easier to measure the temperature of plants and the surrounding environment. Thermal image analysis helps in evaluating thermal characteristics, especially plant temperature, which may be associated with health problems. Temperature data is classified into normal plants and plants affected by health problems, using statistical analysis to strengthen the relationship. A predictive model using MLP ANN was formulated to correlate thermal characteristics with the health condition of oil palm seedlings. The research results show that this model has high validity, with R2 of 0.933 for calibration and 0.930 for validation. In essence, this method accurately predicts the health condition of oil palm seedlings based on thermal images. This approach has the potential to provide early detection of plant health problems quickly, accurately, and efficiently. Through the application of this method, it is hoped that it can reduce losses due to health problems in oil palm seedlings, thereby making a major contribution to increasing productivity and welfare in the palm oil industry.
Pertumbuhan Tanaman Padi Payo Kerinci Menggunakan System of Rice Intensification (SRI) Andesmora, Evan V; Aprianto, Riko; Novallyan, Devie; Aprisi, Fella
JURNAL BUDIDAYA PERTANIAN Vol 19 No 2 (2023): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp.2023.19.2.117

Abstract

Payo Kerinci Rice is one of the germplasms whose existence must be maintained. This rice is one of the local rice varieties, which is quite rare. Payo rice has a relatively high economic value compared to other rice varieties. This is due to the unique and fragrant taste of the rice, so it is very popular with the public. Increased growth is one of the initial stages in projecting success in rice plant productivity. The System of Rice Intensification (SRI) method is hoped to provide an alternative for farmers in cultivating Payo Kerinci rice. The research method was carried out experimentally using divided plots by comparing the SRI and Conventional methods. The growth parameters observed were plant fresh weight, plant dry weight, number of tillers, plant height, and root length. The research results show that the SRI method provides efficiency in the need for seeds in Payo Kerinci Rice cultivation. The Payo Kerinci rice plants using the SRI single seedling method grew more than the conventional method for all observed variables.
Pengembangan Sistem Prediksi Waktu Penyiraman Optimal pada Perkebunan: Pendekatan Machine Learning untuk Peningkatan Produktivitas Pertanian Anggarda, Mohammad F; Kustiawan, Iwan; Nurjanah, Deasy R; Hakim, Nurul F A
JURNAL BUDIDAYA PERTANIAN Vol 19 No 2 (2023): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp.2023.19.2.124

Abstract

Modern agriculture relies heavily on technology, especially in irrigation management and crop watering. Several previous studies have applied field data-based predictive techniques to improve crop yields. This research aims to develop a prediction system for optimal watering time in plantations and agriculture using a machine learning approach. The rigorous methodology includes data capture, pre-processing, model evaluation and testing, validation, and visualization. High accuracy demonstrates the system's reliability in determining optimal watering needs to improve resource efficiency and crop yields in agriculture. The data obtained from the automatic weather station (AWS) via thingsboard is processed sequentially, starting from data retrieval in json format using postman to transformation into csv files with proper timestamp adjustment. The pre-processing stage includes data cleaning, variable selection, data integration, and generating a clean dataset. In the evaluation stage, the dataset is divided into training data and test data, with the application and comparison of logistic regression, random forest and decision tree models applied as classifiers. Furthermore, the validation and results stage includes prediction, performance testing using the confusion matrix, and visualization of prediction results in the form of text and icons that aim to increase interpetability for users through Google Collaboratory. The results of this research provide an overview of the optimal watering time based on the dataset from the automatic weather station. Further analysis shows that the implementation of machine learning models significantly improves the prediction accuracy, proving the effectiveness of the system in providing more precise watering time recommendations to increase agricultural productivity. The main objective is to develop a machine learning-based watering time prediction system using data from the automatic weather station and evaluate various classifier algorithms to select the best model.
Evaluasi Kesesuaian Lahan Berbasis SIG Untuk Tanaman Cengkih, Pisang, dan Ubi Kayu di DAS Wai Ela, Negeri Lima, Pulau Ambon Hatulely, Gresi; Haumahu, J P; Osok, Rafael M; Talakua, Silwanus
JURNAL BUDIDAYA PERTANIAN Vol 17 No 2 (2021): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp/2021.17.2.128

Abstract

The characteristics and quality of land resources are important things that must be considered in the planning, utilization and management of land for agricultural purposes. The purposes of this research were to describe land characteristics and quality, and to determine the suitability class, subclass, and limiting factors for clove (Zysygium armoticum), banana (Musa sp), and cassava ( Manihot esculenta Crant.) crops in Wai Ela Watershed. The method used in this study was a survey with land units as a fieldwork map which resulted from overlying four components, namely slope class, lithology formation, soil, and land uses. Field data collection was conducted following the observation lanes at 15 selected sample areas representing 72 land units. Data analysis was carried out by using a geographic information system (GIS), involving: (1) SRTM image analysis to produce topography class, (2) maps overlay to produce land units, and (3) attribute data processing to produce land suitability class. The study results showed that the land suitability for clove consisted of the suitable class of S2 (21.91 ha) and S3 (327.89 ha), and not-suitable, N (1069.85ha), with limiting factors being flooding, soil depth, and slope steepness. Land suitability for bananas consisted of the suitable class of S3 (501.70 ha), and not-suitable, N (686.99 ha) with limiting factors being flooding, erosion, and slope steepness; whereas land suitability for cassava consisted of the suitable class of S3 (501.70 ha) and not-suitable, N (917.96 ha), with limiting factors being flooding, slope steepness, and erosion.
Antagonisme In-Vitro Lima Isolat Lokal Trichoderma spp. Asal Rhizosfer Terhadap Rhizoctonia solani Penyebab Busuk Pelepah Jagung Soplanit, Rainhart C; Patty, Jogeneis; Talahaturuson, Abraham
JURNAL BUDIDAYA PERTANIAN Vol 17 No 2 (2021): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp/2021.17.2.89

Abstract

Environmentally friendly biological control can be an alternative for suppressing the pathogen Rhizoctonia solani, the cause of sheath rot in corn plants. This can be done by utilizing biological agents, such as Trichoderma spp. Research on in vitro antagonism of five local isolates of Trichoderma spp. of rhizospheric origin against R. solani was carried out at the Plant Disease Diagnosis Laboratory, Faculty of Agriculture Unpatti, Ambon. This research aimed to determine the inhibition of five Trichoderma spp isolates against R. solani in vitro and to the mechanism of its inhibition. This study used a Completely Randomized Design to test the five local isolates of Trichoderma spp. The experiment was carried out with 4 replications, and each experimental unit consisted of 2 Petri dishes for testing. The results showed that the five local isolates of Trichoderma spp. from the rhizosphere could suppress the growth of R. solani on corn plants in vitro. On the seventh day of observation, the highest inhibition occurred in Trichoderma isolate from the Banda Baru coconut rhizosphere (TrichoRKlBB), which was 100% and the local Trichoderma isolate rhizosphere of Nuruwe cocoa (TrichoRKN) 100%, and the lowest percentage occurred using the Trichoderma isolate rhizosphere of Waisamu coconut (TrichoRKlW), namely (80.13%). The mechanisms of antagonism that occured were the mechanisms of competition and microparasitism.

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