Proyeksi Produksi Padi Kabupaten Pinrang Dengan Metode Singular Spectrum Analysis

Irwan, .; Sauddin, Adnan; Kaimuddin, Anita

doi:10.24252/msa.v10i1.29869

Cited by 2 publications

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“…The total sack total was 11.5. In this treatment, yields are higher in terms of kilograms per bag (Suprida et al, 2022) than they were in the previous harvest (Morse & MacNamara, 2020), but the total number of sacks produced drops from 12 (the previous yield) to 11.5 (Irwan et al, 2022). In contrast to the organic fertiliser production study, this is the norm.…”

Section: Figure 2 Investment Input Paymentsmentioning

confidence: 80%

“…There was a 250% increase in output from the previous season because of the usage of Japanese nano-organic fertiliser (Morse & MacNamara, 2020;Yomari International, 2021). The current economic paradigm (Irwan et al, 2022) is undergoing rapid evolution in its development. The conceptualisation of the elements (Luneto & Kaslam, 2022) influencing production transforms a more intelligent and sophisticated perspective.…”

Section: Figure 2 Investment Input Paymentsmentioning

confidence: 99%

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Green Economy's Impact on Food Security Program Evaluation

Utama,

Samad,

Muhammad Ishaq

2023

JPEB

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Sustainable green economic concepts are essential for food security initiatives. Utilising organic fertilisers allows for the long-term preservation of natural ecosystems in the Pinrang Regency and the economic prosperity of local farmers through the sale of agricultural products such as fisheries and plantations. By conducting in-depth interviews with participants, participating in direct observation, and reviewing pertinent materials, the researcher actively examines the study hypothesis in the framework of qualitative research. This qualitative study seeks to understand how organic fertiliser use affects agricultural production. Additionally, the study tries to determine whether this farming approach may improve farmers' quality of life. The study found that a green economy program that improves agricultural productivity could raise farmers' living standards. According to the study's findings, incorporating a green economy program into agricultural practices can enhance agricultural quality, farmers' green economy proficiency, and farmers' collective responsibility for the preservation of the environment.

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Section: Figure 2 Investment Input Paymentsmentioning

confidence: 80%

Section: Figure 2 Investment Input Paymentsmentioning

confidence: 99%

Green Economy's Impact on Food Security Program Evaluation

Utama,

Samad,

Muhammad Ishaq

2023

JPEB

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“…SSA is a more flexible forecasting method compared to other forecasting methods because it uses a nonparametric approach which means that assumption tests such as independence and normality of residuals are not required and are suitable for stationary and non-stationary data. (Irwan, Adnan Sauddin, & Anita Kaimuddin, 2022) Some previous research was conducted by GilangBimasaktiAndhika et al (2020).about using the SSA method to forecast the Farmer Exchange Rate in Bali Province with a good level of accuracy with a MAPE value of 0.49%. KukuhWahyuHidayat et al (2020) on modeling the number of hot spots in East Kalimantan province using the singular spectrum analysis method.…”

Section: Introductionmentioning

confidence: 99%

Cocoa price prediction in North Sumatra using Singular Spectrum Analysis (SSA) Algorithm

Fransiska,

Husein

2023

SinkrOn

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The implementation of agricultural development is basically aimed at increasing the welfare of the people, especially farmers, providing a source of foreign exchange through exports, supplying food and industrial raw materials, alleviating poverty, providing employment and improving people's income. Cocoa is a leading commodity which is a source of income for farmers in North Sumatra. Price fluctuations sometimes make farmers suffer losses, so it is necessary to make a cocoa price prediction to anticipate future losses. This study aims to determine the prediction results of cocoa prices in North Sumatra in 2023 and the accuracy of the method used. The results of the study obtained the prediction of cocoa prices in North Sumatra Province in 2023 using the Singular Spectrum Analysis (SSA) method from January to December, respectively, Rp. 34876 in January, February prediction of Rp. 33967, March prediction of Rp. 33446, in April RP 33725, prediction in May of Rp. 33986, prediction in June of Rp 33916, in July Rp. 34196, predictionin August of Rp. 34841, prediction in September of Rp. 35228, in October of Rp. 3479, in November Rp 344517, the December prediction is Rp 34770 with a prediction accuracy level based on the standard MAPE value of 0.96%. The MAPE value obtained indicates that the SSA approach with Windows length 18 and 14 groups is very accurate for prediction cocoa price in North Sumatra Province because it is less than 10% and close to 0%.

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Proyeksi Produksi Padi Kabupaten Pinrang Dengan Metode Singular Spectrum Analysis

Cited by 2 publications

References 0 publications

Green Economy's Impact on Food Security Program Evaluation

Green Economy's Impact on Food Security Program Evaluation

Cocoa price prediction in North Sumatra using Singular Spectrum Analysis (SSA) Algorithm

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