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.

Klik Disini

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

Klik Disini

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

Klik Disini