Prediksi Harga Rumah Menggunakan Web Scrapping dan Machine Learning Dengan Algoritma Linear Regression

Saiful, Andi

doi:10.35957/jatisi.v8i1.701

Cited by 15 publications

(17 citation statements)

References 5 publications

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“…As a simple and effective method to find the regression equation, the least square method has been mastered and widely used. Recent studies on the robustness of mathematical statistics have found that when there are out varies, the robustness of the regression equation obtained by the least square method is often affected [3]. In this regard, some methods of robust regression are proposed to overcome this defect.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Pathogen Characteristics and Nursing Factors of Tonsil Infection Based on Regression Equation

Zhang

Yang

2022

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In order to meet the needs of the analysis and application of regression equation in clinical medicine of tonsil infection, this paper focuses on the semiparametric regression model method, cross-validation method, empirical method, and multiple regression equation analysis of atypical data using regression equation. The general method of analyzing this kind of data is given, and the parameter estimation and hypothesis testing of the model are systematically studied. The experimental results showed that among the 90 paraffin-embedded tissue specimens of chronic tonsillitis and adenoid hypertrophy in this study, 26 out of 49 male children were EBERs positive, accounting for 53.06% of male children (26/49 cases). 28 of the 41 female children were positive, accounting for 68.29 of the female children (28/41 cases). There were 14 cases in infant group, 20 cases in preschool age group, 25 cases in school-age group, and 31 cases in adolescence group; the EBERs-positive rate was 42.86% (6/14 cases) in early childhood and 55.00% in early school-age (11/20 cases), and the EBERs-positive rate was 60.00% in school-age group (15/20 cases) and 70.97% in adolescent group. The results showed that the latent infection rate of adenoid hypertrophy EBV in children with chronic tonsillitis showed no significant difference between genders. It is proved that the regression equation method can meet the needs of clinical analysis and application of tonsil infection.

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Section: Introductionmentioning

confidence: 99%

Analysis of Pathogen Characteristics and Nursing Factors of Tonsil Infection Based on Regression Equation

Zhang

Yang

2022

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“…Data Collection We employed the scraping technique to collect data for this research. This technique is commonly used to gather data from social media or application reviews [11]. We collected opinion data from Indonesia's COVID-19 management application, PeduliLindungi, which is available on Google PlayStore.…”

Section: )mentioning

confidence: 99%

Sentiment Analysis of Covid-19 Handling in Indonesia Based on Lexicon Weighting

2023

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Covid-19, a contagious disease, has been classified as a global pandemic. Indonesia, as one of the ASEAN countries, has taken various measures to combat the spread of this disease. One of the government's initiatives to tackle the pandemic is the PeduliLindungi application, through which the public provides feedback on government policies. However, analyzing and comprehending public opinions in a non-subjective manner poses a challenge in objectively evaluating government services. This study aims to address this issue by conducting a sentiment analysis of Covid-19 handling in Indonesia, using a lexicon-based weighting system that includes SentiStrengthID and InSet. The decision tree (DT) machine learning algorithm is utilized to evaluate the polarity results provided by the lexicon. The results indicate that the sentiment polarity towards Covid-19 handling in Indonesia is negative based on both SentiStrengthID and InSet weights. Evaluating machine learning performance with the SentiStrengthID lexicon, the DT-entropy and DT-gini models achieved an accuracy of 82% and 83%, respectively. Similarly, evaluating machine learning performance with the InSet lexicon, the DT-entropy and DT-gini models achieved an accuracy of 81% and 82%, respectively.

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“…Salah satu cara untuk melakukan prediksi harga adalah menggunakan metode Machine Learning. Penelitian sebelumnya yang menggunakan metode Machine Learning untuk memprediksi harga kebanyakan menggunakan algoritma regressi [2][3][4][5][6][7]. Penelitian [2] menyajikan sebuah model yang dibuat dengan menggunakan algoritma Logistic Regression untuk memprediksi harga sembako.…”

Section: Pendahuluanunclassified

“…Model yang terdapat pada penelitian [2] tidak dibuat menggunakan hyper-parameter tuning, sehingga akurasi model yang didapatkan berkisar 84,2%. Penelitian [3] menyajikan sebuah model yang dibuat untuk memprediksi harga ponsel bekas dengan menggunakan algoritma Random Forest Regressor dan juga sama dengan penelitian [2], model yang dibuat belum menggunakan hyper-parameter tuning, sehingga akurasi yang didapatkan berkisar 81%.…”

Section: Pendahuluanunclassified

Prediksi Harga Mobil Menggunakan Algoritma Regressi Dengan Hyper-Parameter Tuning

et al. 2022

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Seiring dengan bertumbuhnya tingkat aktivitas dan bisnis, mobil kini menjadi salah satu kebutuhan masyarakat. Dengan meningkatnya minat masyarakat terhadap mobil bekas, banyak orang berencana untuk memulai bisnis showroom mobil bekas. Masalah yang sering dihadapi pengusaha showroom adalah penetapan harga mobil bekas dengan tepat. Salah satu cara untuk melakukan prediksi harga adalah menggunakan metode Machine Learning. Untuk membuat prediksi harga yang lebih akurat dan memiliki nilai akurasi yang lebih tinggi, penelitian ini bertujuan untuk membuat sebuah model machine learning menggunakan algoritma regressi dengan bantuan hyper-parameter tuning untuk meningkatkan tingkat akurasi dari model yang dibuat dengan konfigurasi default. Model Machine Learning yang dibuat memiliki nilai yang berbeda, namun pada penelitian ini dipakai model Gradient Boost Regression yang memiliki nilai akurasi model sebesar 97% (setelah tuning) untuk melakukan prediksi. Dalam pencobaan prediksi, didapat nilai akurasi prediksi sebesar 80% dari 5 percobaan yang telah dilakukan.

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Prediksi Harga Rumah Menggunakan Web Scrapping dan Machine Learning Dengan Algoritma Linear Regression

Cited by 15 publications

References 5 publications

Analysis of Pathogen Characteristics and Nursing Factors of Tonsil Infection Based on Regression Equation

Analysis of Pathogen Characteristics and Nursing Factors of Tonsil Infection Based on Regression Equation

Sentiment Analysis of Covid-19 Handling in Indonesia Based on Lexicon Weighting

Prediksi Harga Mobil Menggunakan Algoritma Regressi Dengan Hyper-Parameter Tuning

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