Penerapan Model CA-Markov Untuk Prediksi Perubahan Penggunaan Lahan Di Sub-DAS Bila Tahun 2036

Asra, Reza; Mappiasse, Muh Faisal; Nurnawati, Andi Ayu

doi:10.35329/agrovital.v5i1.630

Cited by 6 publications

(5 citation statements)

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“…The number of proven correct issues in the field is 31 points (X). The accuracy of acceptable image interpretation is greater than 85% (Arsa et al 2020). The study had an overall classification accuracy of 88.57% and a Kappa coefficient of 86.18%.…”

Section: Structure Of Land Use and Land Cover Change (Lulc)mentioning

confidence: 87%

Agroforestry management systems through landscape-life scape integration: A case study in Gowa, Indonesia

2022

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Abstract. Hasannudin DAL, Nurrochmat DR, Ekayani M. 2022. Agroforestry management systems through landscape-life scape integration: A case study in Gowa, Indonesia. Biodiversitas 23: 1864-1874. Agroforestry has a potentially important role in increasing farmers' income and sustainable landscape management. The need to increase income from a community with limited land area, resulting in indiscriminate deforestation and shifting cultivation, has accelerated soil erosion. This study addresses the problem by evaluating land use and land cover change structure and prediction, providing plant types' preferences for agroforestry systems based on social, business feasibility, and ecological suitability. This study was conducted in Bontolerung Village, part of the KPH Jeneberang 1's working area, Tinggimoncong Sub-district, Gowa District, South Sulawesi Province, Indonesia. The data was collected from January to March 2021 using a snowball-purposive sampling method. The analysis data used land use and land cover change, land management patterns, cost and revenue, household expenditure and income, financial feasibility -Net present value (NPV), Benefit-cost ratio (BCR), and Internal rate of return (IRR), and ecological suitability (invasive series). The study finds that forest cover losses are 17% from 2010-2020 and converted into agricultural land. The agroforestry patterns of coffee, coffee-cloves, and coffee-cloves-iles-iles are feasible to cultivate following the NPV, BCR, and IRR criteria. Agroforestry systems contributed 26% to farmer household income. The value shows a low percentage compared to the non-agroforestry income (74%). The coffee-cloves agroforests show the highest gains with an average annual income of IDR 43,017,192 (US$ 3,024.9). This study promotes using agroforestry to reforest the existing degraded lands. Agroforestry systems offer great potential for environmental conservation and contribution to human well-being.

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Section: Structure Of Land Use and Land Cover Change (Lulc)mentioning

confidence: 87%

Agroforestry management systems through landscape-life scape integration: A case study in Gowa, Indonesia

2022

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“…One commonly used method is the statistical Kappa method, which is calculated from the contingency table between two sets of data. The Kappa statistic is frequently used to evaluate the agreement between observed and predicted results [23][24][25].…”

Section: Data Collectionmentioning

confidence: 99%

Urban Growth Pattern Changes Model in Small Island of Aceh Province, Indonesia: Implications for Sustainable Spatial Development

Azwar,

Achmad,

Mahidin

et al. 2024

Pol. J. Environ. Stud.

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Developing models for land use and land cover (LULC) and monitoring changes through predictive scenarios is crucial for supporting urban development strategies and improving our understanding of urban dynamics. Analysis of urban growth patterns based on LULC data from remote sensing using Geographic Information System (GIS) and Remote Sensing (RS) provides valuable insights into LULC changes. The CA-Markov model was used to predict LULC changes based on maps for 2012 and 2023, derived from satellite imagery using the maximum likelihood method, with an accuracy of 93% and 94% for each map. Analysis of urban growth patterns in Sabang City from 2013 to 2021 shows that the expansion of the built-up area is mainly driven by the conversion of bareland around the city center, with a 67% expansion pattern, 1% infilling pattern, and 16% outlying pattern. In Scenario 1, the growth of the built-up area in the city center is not significant, while in Scenario 2, the built-up area is projected to increase by 32 hectares to 742.6428 hectares by 2032. The urban growth pattern aligns better with Scenario 2, which emphasizes land conservation for forests and water bodies to preserve the highest carbon reserves from LULC changes.

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“…Dalam analisis Markov, diasumsikan bahwa perubahan kondisi tergantung pada kondisi saat ini. Dalam penerapannya, model rantai Markov membutuhkan Matriks Probabilitas Transisi (MPT) untuk menjelaskan perubahan kondisi satu keadaan ke keadaan lainnya [7] [8].…”

Section: Pendahuluanunclassified

Implementasi Analisis Markov pada R Studio untuk Model Prediksi Perpindahan Pengguna Transportasi Online

Susetyo¹

2023

JTEKSIS

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The development of transportation in Indonesia has entered an era of collaboration with information technology. Online-based transportation has proven to facilitate the mobility of people's lives. The emergence of various online transportation providers in Indonesia requires these providers to have data-based programmed business planning. Predicting customer loyalty is one of the factors considered in business planning. This study aims to predict the switching behavior of online transportation users using Markov Analysis. The study uses data taken from 100 respondents in Jakarta. User switching patterns are analyzed based on the first, second, and third months of online transportation providers used by the respondents. Gojek and Grab are used as the online transportation providers examined in this study. This research resulted in a Steady State, indicating that the user loyalty for Gojek from November 2022 to January 2023 was 66%, while Grab accounted for 34%.

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Penerapan Model CA-Markov Untuk Prediksi Perubahan Penggunaan Lahan Di Sub-DAS Bila Tahun 2036

Cited by 6 publications

References 0 publications

Agroforestry management systems through landscape-life scape integration: A case study in Gowa, Indonesia

Agroforestry management systems through landscape-life scape integration: A case study in Gowa, Indonesia

Urban Growth Pattern Changes Model in Small Island of Aceh Province, Indonesia: Implications for Sustainable Spatial Development

Implementasi Analisis Markov pada R Studio untuk Model Prediksi Perpindahan Pengguna Transportasi Online

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