ARSIP BULANAN : March 2026

Nurdin1, Rival Rahman2*, Silvana Apriliani2

1Program Studi Magister S2 Agroteknologi, Program Pascasarjana Universitas Negeri Gorontao. nurdin@ung.ac.id

2Jurusan Agroteknologi, Fakultas Pertanian, Universitas Negeri Gorontalo. Jl. Prof. Dr. Ing. B. J. Habibie, Moutong Kabupaten Bone Bolango, 96554. rival@ung.ac.id; silvana@ung.ac,id

*) Penulis korespondensi

Diterima 04 Oktober 2024; Disetujui 7 Januari 2025

Abstract

Penelitian ini bertujuan untuk menentukan sebaran spasial tingkat kesesuaian lahan tanaman pangan pada Sub Daerah Aliran Sungai (DAS) di kawasan Teluk Tomini Kabupaten Boalemo. Data dianalisis dengan teknik  pemadanan antara karakteristik dan kualitas lahan dengan kriteria kesesuaian lahan tanaman pangan berdasarkan kerangka kerja FAO serta menggunakan software ArcGis dengan metode maching. Hasil analisis menunjukkan kesesuaian lahan potensial komoditas pangan masing -masing untuk padi sawah kelas S2 (cukup sesuai) seluas 2,368.16 ha (14.37%) dan kelas S3 seluas 14,114.03 (85.63%), jagung kelas S2 seluas 10,338.40 (62%) dan kelas S3  seluas 6,143.80 ha (37.28%), kedelai kelas S2 seluas 13,712.13 (83.19%) dan kelas S3 seluas 2,770.07 ha (16.81%). Ubi kayu kelas S2 (cukup sesuai) seluas 3,901.42 ha (23.67%), kelas S3 seluas 2,532.34 ha (15.36%) dan kelas N seluas 10,048.44 (60.97%). Hasil analisis menyimpulkan bahwa setiap komoditas tanaman pangan di wilayah penelitian didominasi oleh kelas (S3) 85.63% untuk padi sawah,  kedelai cukup sesuai (S2) 83.19%, jagung cukup sesuai (S2) 62%, serta kelas tidak sesuai (N) 60.97% untuk komoditas ubi kayu. Sebaran pengembangan komoditas tanaman pangan di wilayah penelitian paling luas diarahkan untuk komoditas jagung dan kedelai dengan luas  54.17%, kedelai seluas 20.95%, jagung kedelai dan ubi kayu 20.07%, kedelai dan ubi 1.97% serta jagung 0.38%.

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Hendrikus Demon Tukan (Faculty of Agriculture and Animal Science, Catholic University of Indonesia Saint Paul Ruteng)

Nautus Stivano Dalle (Faculty of Animal Science, Marine and Fisheries, University of Nusa Cendana)

Nurdin (Faculty of Agriculture, Gorontalo State University)

Juni Sumarmono (Faculty of Animal Science, Jenderal Soedirman University)

Aleksius Arwandi Jeramat (Faculty of Animal Science, Jenderal Soedirman University)

Elisabeth Yulia Nugraha (Faculty of Agriculture and Animal Science, Catholic University of Indonesia Saint Paul Ruteng)

Abstract

The aim of this study is to analyze the density of buffalo livestock in the southern coastal area of Greater Manggarai based on the calculation of Location Quotient (LQ), to analyze the factors that influence farmers in the existence of buffalo livestock. This research was conducted from December 2024 to May 2025 in the southern coastal area of Greater Manggarai spread across 7 sub-districts, namely: Lembor, South Lembor, Satar Mese, West Satar Barat, Borong, Komba City, and North Komba sub-districts. The research method used in this study was livestock density calculation, LQ analysis, and influence factor analysis using multiple linear regression with SSPS 18 as a tool. The results of the study indicate that the majority of the southern region of the Greater Manggarai area is not a base for buffalo livestock, but in terms of potential and topography, the region is very supportive from the economic, socio-cultural and traditional aspects. The results of the analysis of the potential and condition of the region and the density of buffalo livestock can be symbolized that the priority for buffalo livestock development is in the Kota Komba and Lembor Selatan sub-districts, followed by Lembor and Borong sub-districts. For the specific development of buffalo livestock commodities, based on the results of the LQ analysis, the potential base for buffalo livestock development is in the Lembor Selatan and Kota Komba sub-districts. The most dominant influencing factor in the analysis of the potential and condition of the buffalo livestock development area in the southern region of the Greater Manggarai area is the socio-cultural factor.

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Muhadjir Dunggio (Student of Magister Program in Agroteknologi, Postgraduate, State University of Gorontalo, Indonesia)

Nurdin (Magister Program in Agroteknologi, Postgraduate, State University of Gorontalo, Indonesia)

Sutrisno Hadi Purnomo (Magister Program in Agroteknologi, Postgraduate, State University of Gorontalo, Indonesia)

Abstract

This study aims to determine the land suitability class and limiting factors for maize (Zea mays L.) in Tilamuta District, Boalemo Regency. The study will take place from August 2025 to September 2025 in Tilamuta District, Boalemo Regency. The method used in this study is the matching method, or matching between land characteristics and quality with the criteria for maize land suitability. The results of the analysis show that the actual land suitability for maize plants in Tilamuta District, Boalemo Regency, is in the marginal suitability class (S3) and is spread across all land units. This condition is influenced by several main limiting factors, namely low nutrient availability, rainfall, soil nutrient retention capacity, slope gradient, and erosion hazard levels. However, for potential land suitability, the application of various improvement efforts such as fertilization, liming, adding organic materials, implementing a planting system that follows the contour, and intensive terracing can increase the land suitability class to fairly suitable (S2).

Keywords: Land suitability, actual, potential, maize

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Nurdin1*), Wawan Pembengo2), Echan Adam3), Agustinus Moonti3), Rival Rahman2), Dewa Oka Suparwata4), Ika Okhtora Angelia5), Muhammad Arief Azis2), Silviana Arsyad2), Suyono Dude2), Fauzan Zakaria2), Fitria S. Bagu2), Silvana Apriliani2), Meity M. Mokoginta4), Satriawati Pade6), Md. Mijanur Rahman Rajib7), and Mansor Hakiman8)

1) Master’s Program in Agrotechnology, Postgraduate Program, State University of Gorontalo, Indonesia

2) Department of Agrotechnology, Agriculture Faculty, State University of Gorontalo, Indonesia

3) Department of Agribusiness, Agriculture Faculty, State University of Gorontalo, Indonesia

4) Department of Agribusiness, Muhammadiyah University of Gorontalo, Indonesia

5) Department of Agrotechnology, Agriculture Faculty, Ichsan University of Gorontalo, Indonesia

6) Department of Agricultural Product Technology, Agriculture Faculty, Ichsan University of Gorontalo, Indonesia

7) Department of Horticulture, Agriculture Faculty, Gazipur Agricultural University, Bangladesh

8) Department of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia, Malaysia

Abstract

The current land suitability criteria for konjac are incomplete and fail to consider land dimensions and quality, which influence optimal yield. This research aims to develop criteria for konjac land suitability based on the dimensions, quality, and characteristics of selected land. In Gorontalo Province, Indonesia, 131 land units were surveyed to obtain data on the quality and characteristics. Selection of land dimensions, quality, and characteristics using Structural Equation Modeling (SEM) with Partial Least Squares (PLS). Meanwhile, the optimum yield and distinguished land suitability criteria for konjac plants using the boundary line method. The results indicated that intrinsic and extrinsic dimensions determined the new land suitability criteria. In the intrinsic dimension, land quality was assessed based on root conditions, oxygen availability, nutrient availability, nutrient retention, and sodicity. For the extrinsic dimension, land quality only comprised temperature, water availability, land preparation, and erosion hazard. Land characteristics in the intrinsic dimension consisted of soil drainage, texture, bulk density, particle density, porosity, pH, organic C, CEC, base saturation, total N, available P, and exchangeable K. For the extrinsic dimension, land characteristics included slope, soil erosion, surface rocks, and rock outcrops. The highest optimum yield of konjac was 9.17 t/ha, and the lowest was 6.69 t/ha, respectively.

Keywords: Criteria; Dimension; Konjac; Land; Suitability

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Ayu Rosandi Dg Mansyur (Master in Agrotechnology Program, Universitas Negeri Gorontalo)

Nurdin (Universitas Negeri Gorontalo)

Nurmi (Universitas Negeri Gorontalo)

Fitria S Bagu (Universitas Negeri Gorontalo)

Sutrisno Hadi Purnomo (Universitas Negeri Gorontalo)

Abstract

Land suitability assessment is fundamental to ensuring productive and sustainable agricultural development. This study aimed to evaluate land characteristics, determine land suitability, and formulate strategic management directions for sustainable agriculture on Mohupomba Island, Boalemo Regency. Field surveys were conducted using a grid sampling technique at 11 observation points. Soil physicochemical properties were analyzed in the laboratory, and climatic data were incorporated into the assessment. Land suitability was evaluated using two approaches: the Khiddir method (1986) and the Rabia method (2013). The results reveal heterogeneous land characteristics across the island. Soil texture ranges from sandy to clay loam, with moderately rapid to slow drainage conditions. Soil chemical analysis indicates neutral to slightly acidic pH, low salinity, variable organic matter content (low to high), low to moderate nitrogen, moderate phosphorus, and low to moderate available potassium (K2O). Land suitability classification based on the Khiddir method identified categories ranging from Unsuitable (N) to Very Suitable (S1), with soil fertility (f) as the primary limiting factor. In contrast, the Rabia method classified land into Marginally Suitable (S3) to Very Suitable (S1), with climate (c) identified as the main constraint. Overall, Mohupomba Island demonstrates significant potential for sustainable agricultural development, although suitability levels vary depending on land characteristics and climatic conditions. Recommended management strategies include site-specific organic and inorganic amendments to enhance soil fertility, implementation of soil and water conservation practices, and the development of climate-adaptive, agro-ecotourism-based farming systems.

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