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CELEBES Agricultural

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Published by Universitas Tompotika Luwuk

ISSN : 27237974 EISSN : 27237966 DOI : https://doi.org/10.52045/jca

Core Subject : Agriculture,

Agriculture, Biological Sciences & Forestry

CELEBES Agricultural: The publisher is the Faculty of Agriculture, University of Tompotika Luwuk. The journal article covers the results of research and policy analysis that can be applied in agricultural practices and sciences such as agronomy, soil science, pests, and plant diseases, entomology, agricultural engineering, agricultural industrial technology, food technology, biology, biodiversity, climatology, animal husbandry, forestry, and socioeconomic agriculture.

Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Pertanian dan Biologi (Lain-Lain)

Articles 34 Documents

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Fertilization Recommendations Based on Nutrition Status of N and K on Rainfed Rice field in Mantoh District Iqbal Akase; Hidayat AM Katili
CELEBES Agricultural Vol. 2 No. 2 (2022): CELEBES Agricultural
Publisher : Faculty of Agriculture, Tompotika Luwuk University

This study aims to recommend fertilization based on the nutrient status of N and K in rainfed rice fields; therefore, it is necessary to conduct a soil analysis to formulate fertilizer recommendations based on the nutrient status of N and K. This research was carried out in Bombanon Village, Mantoh District in July 2021. The chemical properties of the soil analyzed were N (Kjeldahl) and K (HCl25%). The result of soil analysis then matched with the PPT criteria for soil chemical properties status and Balitbangtan guidelines of N and P fertilization for rice crops. The results showed that the N contents at T1 and T3 were low, whereas T2 had a moderate N content. K content at the entire sampling sites were considered moderate. This study recommended N and K fertilization of 275 kg/ha and 50 kg/ha of urea and KCl, respectively, without returning straw.

The Fiber Profile of Midrib Waste on Salak Sidempuan Fermented with Phanerochaete chrysosporium Rikardo Silaban
CELEBES Agricultural Vol. 2 No. 2 (2022): CELEBES Agricultural
Publisher : Faculty of Agriculture, Tompotika Luwuk University

Feed alternative is become the major concern for livestock industry in order to provide the continuously feeding. Feed technology system based on agriculture wastes were the modified strategy to gain the other sources of feed raw materials. Salak Sidempuan is performed similar with the Palm plantations which is produced the potential midrib waste. Nutritionally, the product will feed the animal to increase the performance. The research aims to evaluate the proximate profile especially the fiber contents of midrib waste of Salak Sidempuan fermented with white root fungi. The fifth experiments were evaluated after the measuring period by using the Phanerochaete chrysosporium and replicated in 4 times. Experiments were P0 (control), P1 (5%inoculant of P. chrysosporium), P2 (10%inoculant of P. chrysosporium), P3 (15%inoculant of P. chrysosporium), and P4 (20%inoculant of P. chrysosporium). A completely randomized design was used to determine the statistical effect on dry matter, organic matter, crude fiber and lignin. Results showed that the addition of inoculant about 20% signifantly effected the increasing on dry matter and organic matter while followed the decreasing of fiber contents. In conclusion, fermentation of midrib waste with Phanerochaete chrysosporium is potentially degradated the fiber content itselves.

Analysis of Soil Fertility in Oil Palm Plantation (Elaeis guineensis Jacq) Smallholder Farmers in East Luwuk District, Banggai Regency: Soil fertility of smallholder oil palm plantation Jen Achen Amu; Herwin Yatim; Irsan Tatu; Hidayat Arismunandar Katili
CELEBES Agricultural Vol. 3 No. 1 (2022): CELEBES Agricultural
Publisher : Faculty of Agriculture, Tompotika Luwuk University

One of the factors that influence the production of oil palm plantations is the condition of the land favorable for their growth and development, especially regarding the physical and chemical properties of the soil and the status of soil fertility. The purpose of this study was to determine soil’s physical and chemical properties, as well as its fertility status on smallholder oil palm plantations. Soil sampling was conducted through a descriptive exploratory survey method, involving six sampling points and representing three oil palm ages (11, 16, and 22 years old). The soil chemical and fertility status were analyzed using the National Criteria of Soil Chemical Properties developed by Soil Research Institute and Five Major Soil Chemical Properties approach developed by Soil Research Center. All observed soil exhibited clay textures and varying soil color matrix. The soil had neutral acidity, medium to high base saturation/BS and cation exchange capacity/CEC, moderate P2O5, as well as low organic C and K2O. Soil fertility status on the entire sites were classified as low, which primarily caused by low soil organic C and K contents. In order to improve soil condition favorably for oil palm growth and development, further studies must be conducted using more direct approach, relating the oil palm requirement with current state of soil and land conditions.

Land Potential for Cacao (Theobroma cacao. L) Development in Banggai Regency: Land potential for cocoa development in Banggai Regency Muh.Zamalluddin M Stibis; Mihwan Sataral; Dian Puspapratiwi
CELEBES Agricultural Vol. 3 No. 1 (2022): CELEBES Agricultural
Publisher : Faculty of Agriculture, Tompotika Luwuk University

Seeing the bright prospects of cacao plants with the available land potential in Banggai Regency, it is necessary to assess land suitability in the development of cacao plants to know the actual potential land suitability level and the limiting factors that affect the potential for cacao plant development, apart from that it can optimize land use in the area, Banggai Regency. The approach used as an indicator for determining the land suitability class for cacao plantations in Banggai Regency is to take an FAO parametric index land quality based on land characteristics that match the requirements for land use for cacao plants, then tabulated into land map units. The results show that the actual land suitability class of Banggai Regency is N = not suitable and S3 = marginally suitable, with the limiting factor of water availability, root media, nutrient retention, available nutrients, and erosion hazard. So that land improvement efforts are needed to increase the land suitability class by considering the existing potential. Improvement efforts that can be done include adding lime, fertilizer, and organic matter, making mound terraces, bench terraces, credit terraces, and erosion-retaining plants. So that the results of the potential land suitability class are S1 = very suitable, S2 = suitable, S3 = marginally suitable, with an area of land that can be developed for cacao plants in Banggai Regency, namely 419,236.9 ha.

Vegetation-Water-Built Up Index Combined: Algorithm Indices Combination for Characterization and distribution of Mangrove Forest through Google Earth Engine : The spatial characteristics of Jakarta's urban mangroves Azelia Dwi Rahmawati; Rahmat Asy’Ari; Muhammad Aqbal Fathonah; Priyanto; Neviaty Putri Zamani; Rahmat Pramulya; Yudi Setiawan
CELEBES Agricultural Vol. 3 No. 1 (2022): CELEBES Agricultural
Publisher : Faculty of Agriculture, Tompotika Luwuk University

Mangroves that live in ecotone areas have a fairly significant role in the economy and ecology. This strategic role requires spatial data to facilitate the management and development of mangrove areas. The mangrove mapping process usually uses a manual method, namely through software, and has shortcomings and limitations in image management that require massive data storage. Cloud computing-based Google Earth Engine (GEE) mapping platform can manage images with an extensive scope and spatiotemporal data processing. However, this platform requires index formulas or combinations to help classify and increase accuracy in mapping the earth’s surface. The innovation with the combined VWB-IC (Vegetation-Water-Built-up Index Combined) formula is projected to classify the characteristics of mangrove areas in Jakarta Bay. The combination consists of three types of indices, namely vegetation index (NDVI, GNDVI, ARVI, EVI, SLAVI, and SAVI), water (NDWI, MNDWI, and LSWI), and buildings (IBI and NDBI). This combination is used to translate the classification of mangroves using the Random Forest (RF) machine learning algorithm method with the Sentinel-2 MSI (Multispectral Instrument) satellite image source and through the GEE platform. This platform generates raster data for land use classification (including mangroves), and then the analysis is continued using ArcMap software. The obtained mangrove area is 220.43 ha, located in Jakarta Bay and divided into the Angke Kapuk Nature Tourism Park and the Pantai Indah Kapuk Mangrove Ecotourism Area. The data from this research is expected to provide a recommendation for a combination index formula for mapping mangrove areas in urban areas. The spatial distribution area can be used as an evaluation material in mangrove areas in Jakarta Bay

Evaluating the Effect of Fire on Cultivated Tropical Peat Properties: Lessons Learned from Observation in East Kutai Peatlands: The effect of fire on cultivated tropical peat properties Heru Bagus Pulunggono; Moh Zulfajrin; Nabila Hanifah; Lina Lathifah Nurazizah
CELEBES Agricultural Vol. 3 No. 1 (2022): CELEBES Agricultural
Publisher : Faculty of Agriculture, Tompotika Luwuk University

Fire and its associated impact highly affect peatland, particularly the peat properties, the plant cultivated above it, and its surrounding environment. Despite much research focused on fire monitoring or susceptibility assessments, peat consumption during fire occurrence, emissions from burned peat, and rehabilitation or restoration of burned peat, little attention is given to studying the changes of peat bio-physicochemical after burning. This small-scale study aims to examine the fire’ effect on the upper 30 cm of peat’s bio-physicochemical properties two months after being burned, using unburned peat as a reference. The result of this study indicated that fire-affected peat at all of our sampling depths. The impacted changes on peat chemical variables were varied. This study also found that sampling methods, fire magnitude and severity, peat physicochemical properties, laboratory determination, and statistical analyses were paramount in examining the fire effect on peat properties. This study also promotes the combination approach that represents both local and global phenomena to analyze and interpret the change of burned peat properties from its initial unburned state. More efforts are required to verify the initial results reported in this study and to gain in-depth information concerning the intricate relationships of organic materials, climate, hydrology, and vegetation across spatial and temporal scales in cultivated tropical peat as affected by fire events.

Identifying the Underlying Factors and Variables Governing Macronutrients in Cultivated Tropical Peatland Using Regression Tree Approach: Using Tree Regression Approach to Determine the Factors Influencing Total N, P, and K in Cultivated Tropical Peat Heru Bagus Pulunggono; Yusuf Azmi Madani; Moh Zulfajrin; Yusrizal
CELEBES Agricultural Vol. 3 No. 1 (2022): CELEBES Agricultural
Publisher : Faculty of Agriculture, Tompotika Luwuk University

The capability of machine learning/ML algorithms to analyze the effect of human and environmental factors and variables in controlling soil nutrients has been profoundly studied over the last decades. Unfortunately, ML utilization to estimate macronutrients and their governing factors in cultivated tropical peat soil are extremely scarce. In this study, we trained regression tree/RT, ML-based pedotransfer models to predict total N, P, and K in peat soils based on oil palm/OP and OP+bush datasets. Our results indicated that the dataset might contain outliers, non-linear relationships, and heteroscedasticity, allowing RT-based models to perform better compared to multiple linear regression/MLR models (as a benchmark) in estimating total N and P in both datasets, contrastingly, not in K. The difference of important variables in each RT-based model partially showed the vital role of land use in nutrient modeling in peat. The depth of sample collection, organic C, and ash content became the prominent factor and variables in regulating the entire predicted nutrients. Meanwhile, the distance from the oil palm tree and pH were the salient features of total P prediction models in OP and OP+bush sites, respectively. This study proposed employing ML-based pedotransfer models in analyzing and interpreting complex tropical peat data as an alternative to linear-based regression. Our initial study also shed more light on the development possibility of the pedotransfer models that agricultural practician, researchers, companies, and farmers can use to predict macronutrients, both in tabular and spatial terms, in cultivated tropical peatlands

High Heterogeneity LULC Classification in Ujung Kulon National Park, Indonesia: A Study Testing 11 Indices, Random Forest, Sentinel-2 MSI, and GEE-based Cloud Computing Rahmat Asy'Ari; Aulia Ranti; Azelia Dwi Rahmawati; Moh Zulfajrin; Lina Lathifah Nurazizah; Made Chandra Aruna Putra; Zayyaan Nabiila Khairunnisa; Faradilla Anggit Prameswari; Rahmat Pramulya; Neviaty P. Zamani; Yudi Setiawan; Ajat Sudrajat; Anggodo
CELEBES Agricultural Vol. 3 No. 2 (2023): CELEBES Agricultural
Publisher : Faculty of Agriculture, Tompotika Luwuk University

The Ujung Kulon National Park (UKNT) is one of the national parks on the island of Java and has an essential role in saving endemic species in Indonesia. As a form of national park conservation effort, the completeness of LULC spatial data is a primary database that is indispensable in determining national park management policies. Therefore, this research was conducted to map the LULC (Land Use - Land Cover) in the forest landscape with high heterogeneity in UKNT. Sentinel-2 MSI (Multispectral Instrument) image data were classified using the Random Forest (RF) classification algorithm and tested using 11 index algorithms. The classification process takes place on a cloud computing-based geospatial platform, Google Earth Engine (GEE). This test resulted in 10 LULC classes; water had the broadest percentage of 45.44%. Meanwhile, the primary forest has an area of 21,868.41 or about 19.53% of the total area of the national park. However, there are some discrepancies in the spatial information generated by this classification process, so it is considered necessary to evaluate the combination of indexes, training data, and classification algorithms to limit the classification area. Therefore, this study is expected to be considered for further research related to LULC in high-heterogeneity landscapes.

Diversity of insect flower visitors of cayenne pepper in agricultural landscapes, Banggai, Central Sulawesi Pramoto Alingan; Mihwan Sataral; Agmal Qodri
CELEBES Agricultural Vol. 3 No. 2 (2023): CELEBES Agricultural
Publisher : Faculty of Agriculture, Tompotika Luwuk University

The existence of semi-natural habitats around agricultural land has the potential to support ecosystem services by providing resources for beneficial insects. The study aimed to analyze the abundance, diversity index, and evenness of the insects visiting cayenne flowers. This research was carried out in cayenne cultivation areas in the Banggai Regency. Sampling locations were divided into two categories: cayenne fields close to and far from forests or semi-natural habitats. Insect collection was carried out from June 2022 to August 2022, in the morning and evening, using insect nets. The results showed that 16 families and 52 cayenne flower-visiting insects were identified. Lasioglossum sp.3, Lasioglossum sp.5, Megachile sp.2, ?Parancistrocerus sp. and Rhynchium sp. have a higher abundance than the others. The highest Shannon and Wiener diversity index was found in cayenne fields in Tolisu Village (H'= 2.491), Mansahang (H'= 2.216), Salodik (H'= 2.145), and the lowest in cayenne fields in Kembang Merta Village (H'= 1.211), Dale-Dale (H'= 1.112 ), and Beringin Jaya (H'= 1.149 ). The highest evenness index (E) was found in the fields in Lembah Makmur Village (E= 0.9721) and Mansahang (E= 0.9172), and the lowest was found in cayenne fields in Petak Village (E= 0.3975) and Lenyek (E= 0.4405). The highest species richness was found in cayenne fields in Tolisu (14 species), Salodik (14 species), and Petak (12 species). Cayenne fields in the three villages are close to semi-natural habitats. Our findings show that agricultural land adjacent to semi-natural habitats has increased the species richness of cayenne flower visitor insects. Thus, semi-natural habitats are critical to sustaining insect communities in agricultural landscapes.

Diversity of Ants (Hymenoptera: Formicidae) on Several Types of Plantations in Dharmasraya Regency, West Sumatra Province Silvia Roza; Yaherwandi; Siska Efendi
CELEBES Agricultural Vol. 2 No. 2 (2022): CELEBES Agricultural
Publisher : Faculty of Agriculture, Tompotika Luwuk University

Ant diversity in the plantation ecosystem has an important role in maintaining the balance of the ecosystem and the continuity of crop production. It aims to find out ant diversity and the role of ants present in oil palm, rubber, and cocoa plantation ecosystems in Dharmasraya District. The research location is Kecamatan Pulau Punjung, Sitiung, and Koto Besar. The method used in this research is Systematic Random Sampling (Random Design Selected). Sampling using the Qudran Protocol method is Soil And Leaf Litter Sieving, Pitfall trap, Bait Trap, and Hand Collecting. Identification is done at the Laboratory of Animal Taxonomy, Biology Department, Faculty of Mathematics and Natural Sciences, Andalas University. The diversity and evenness of ants in some types of plantations in Dharmasraya Regency were moderate (H '<1) and (E <0.63). There were 16 species of ants; the most abundant species were Aneplolephis graciliphes and Odontoponera denticulate.

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Home Page

OAI Link

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Google Scholar

Contact Name Mihwan Sataral

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Phone +6282259691193

Journal Mail Official celebes.gricultural@gmail.com

Editorial Address Jl. Dewi Sartika No.67 A, Luwuk-Banggai, Sulawesi Tengah

Location Kab. banggai, Sulawesi tengah INDONESIA

Abstract

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Contact Name
Mihwan Sataral

Contact Email
mihwansataral87@gmail.com

Phone
+6282259691193

Journal Mail Official
celebes.gricultural@gmail.com

Editorial Address
Jl. Dewi Sartika No.67 A, Luwuk-Banggai, Sulawesi Tengah

Location
Kab. banggai,

Sulawesi tengah

INDONESIA