Implementasi Sistem Cerdas Least Square  Dalam Meramalkan Pemenuhan Kebutuhan  Stok Listrik Di Kota Lhokseumawe

Sadli, Muhammad; Safwandi, Safwandi

doi:10.33019/ecotipe.v4i2.8

Cited by 5 publications

(7 citation statements)

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“…MuhammadSadli and Safwandi (2017), used the .71420 E-mail addresss : fudin@trisakti.ac.id least square method to make it easier for PT. PLN in predicting the need for electrical energy in each sector as well as forecasting the need for electrical energy stocks for the future [1].…”

Section: A Previous Researchmentioning

confidence: 99%

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Implementation of Trend Analysis to Fulfill Needs of Consumer Housing with Least Square Method

Anggara,

Pratiwi,

Rochman

2024

Intelect. matics.

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In this era there are a lot of real estate that stands with attractive prices, facilities and home designs. Real Estate is a land and buildings on it and arranged in an orderly manner. With the rapid growth of society, it is very influential in buying ready-to-live houses that match the criteria and prices they want. However, many people have difficulty in finding a house ready to live in that fits the criteria and price range they want. Therefore, by making the Trend Analysis Application for Ready-to-occupy Houses, it can provide alternative choices to users according to the criteria that buyers want, such as having a garage, garden, building area, having how many floors and so on as well as the price they want. This application was developed using the Least Square Method Trend Analysis Method for datasets of ready-to-occupy houses collected from one housing estate agency. The steps carried out by the researchers started from collecting housing data, then the data was processed using the least square method with R- studio tools and then formulated into the PHP programming language to become a web program. After the web program was successfully built, researchers conducted a survey to determine the level of user satisfaction with the application, which was 77.8% of the 18 survey participants. Based on the presentation, it can be concluded that this research is feasible in providing home recommendations for customers.

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Section: A Previous Researchmentioning

confidence: 99%

“…d. The calculation of this trend analysis uses the average value, if one or more things occur that can affect the data with the year in question, it will be seen from the effect of the average value [11,12].…”

Section: E Trend Analysismentioning

confidence: 99%

Implementation of Trend Analysis to Fulfill Needs of Consumer Housing with Least Square Method

Anggara,

Pratiwi,

Rochman

2024

Intelect. matics.

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“…Sedangkan menurut [12] proses prediksi merupakan sebuah alat yang penting dalam merencanakan sesuatu dengan efektif dan efisien.…”

Section: Pendahuluanunclassified

Prediksi Pertumbuhan Penduduk di Indonesia Menggunakan Metode Least Square

Noviyanto

Fauzi

2022

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Laju Pertumbuhan penduduk cukup menjadi perhatian pemerintah dan menjadi masalah pada negara yang berkembang seperti Indonesia karena banyak dampak yang ditimbulkan seperti kesenjangan sosial dan meningkatnya kemiskinan, sehingga diperlukan kontrol pertumbuhan penduduk. Tujuan prediksi pertumbuhan penduduk adalah untuk mengetahui prediksi jumlah penduduk pada masa yang akan datang. Pada penelitian ini metode yang digunakan adalah least square atau kuadrat terkecil untuk melakukan perhitungan prediksi. Data yang digunakan adalah jumlah penduduk di Indonesia pada tahun 2016-2022 yang berasal dari Badan Pusat Statistik. Model trend yang digunakan adalah kuadratik dengan nilai persamaan yang diperoleh Y' = 267.083,67 + 2.876,01X. Hasil persentase nilai MAPE sebesar 0%. Model yang didapatkan digunakan untuk memprediksi jumlah penduduk pada tahun 2023-2027. Hasil prediksi selisih jumlah penduduk pada 5 tahun yang akan datang sebesar 14.380,04 juta jiwa.

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“…Sedangkan menurut [4] proses prediksi merupakan sebuah alat yang penting dalam merencanakan sesuatu dengan efektif dan efisien. Metode prediksi sangat banyak sekali dan bervariasi, sehingga membutuhkan proses evaluasi dalam penerapannya.…”

Section: Prediksiunclassified

Aplikasi Metode Regresi Linier Sederhana Untuk Memprediksi Kedatangan Jumlah Wisatawan Mancanegara Pasca Pandemi Covid 19

Karomah

2022

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The visits of foreign tourists are quite a concern because they can be used as a source of regional and state economic income. The decline in tourist arrivals in recent years caused by the impact of this pandemic has sufficiently affected the economic cycle in areas that are usually tourist destinations. The purpose of this research is to find out the number of foreign tourist visits in the future so that the authorities can make further decisions. The method used in this research is simple linear regression. The data used in this study is the number of foreign tourists in 2015-2021 coming from the Central Statistics Agency (BPS). From the results of the study it was found that the results of predicting the number of foreign tourists using the simple linear regression method showed increasing results from year to year, namely starting in 2022 there were 29,584,805.

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Implementasi Sistem Cerdas Least Square Dalam Meramalkan Pemenuhan Kebutuhan Stok Listrik Di Kota Lhokseumawe

Cited by 5 publications

References 0 publications

Implementation of Trend Analysis to Fulfill Needs of Consumer Housing with Least Square Method

Implementation of Trend Analysis to Fulfill Needs of Consumer Housing with Least Square Method

Prediksi Pertumbuhan Penduduk di Indonesia Menggunakan Metode Least Square

Aplikasi Metode Regresi Linier Sederhana Untuk Memprediksi Kedatangan Jumlah Wisatawan Mancanegara Pasca Pandemi Covid 19

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