Enhancing Accuracy by Using Boosting and Stacking Techniques on the Random Forest Algorithm on Data from Social Media X
Online loans (commonly referred to as Pinjol) have become a widespread phenomenon in Indonesia, both in legal and illegal forms. It is undeniable that this is in line with the rapid development and innovation of technology. Pinjol cannot be separated from public comments, both positive and negative,...
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| Format: | Article |
| Language: | English |
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Fakultas Ilmu Komputer UMI
2024-08-01
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| Series: | Ilkom Jurnal Ilmiah |
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| Online Access: | https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/2058 |
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| author | Teri Ade Putra Vicky Ariandi Sarjon Defit |
| author_facet | Teri Ade Putra Vicky Ariandi Sarjon Defit |
| author_sort | Teri Ade Putra |
| collection | DOAJ |
| description | Online loans (commonly referred to as Pinjol) have become a widespread phenomenon in Indonesia, both in legal and illegal forms. It is undeniable that this is in line with the rapid development and innovation of technology. Pinjol cannot be separated from public comments, both positive and negative, on social media X. The study examined the communication patterns of Indonesian people using a sentiment analysis approach. The research utilized the Random Forest algorithm to perform sentient analysis. This algorithm combined the output of several decision trees to achieve a more accurate result. In addition to using a random forest algorithm, this study also made improvements by using stacking and boosting. The results of this study indicated that the highest accuracy of 86% was obtained by the SMOTE+RF+Adaboost (Boosting) model. In contrast, the lowest accuracy of 60% was obtained in the RF+Adaboost model with a stacking technique. |
| format | Article |
| id | doaj-art-df03d366826b48cdaa1ca1efb872f7ce |
| institution | Kabale University |
| issn | 2087-1716 2548-7779 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Fakultas Ilmu Komputer UMI |
| record_format | Article |
| series | Ilkom Jurnal Ilmiah |
| spelling | doaj-art-df03d366826b48cdaa1ca1efb872f7ce2024-12-31T13:17:47ZengFakultas Ilmu Komputer UMIIlkom Jurnal Ilmiah2087-17162548-77792024-08-0116218418910.33096/ilkom.v16i2.2058.184-189642Enhancing Accuracy by Using Boosting and Stacking Techniques on the Random Forest Algorithm on Data from Social Media XTeri Ade Putra0Vicky Ariandi1Sarjon Defit2Universitas Putra Indonesia YPTK PadangUniversitas Putra Indonesia YPTK PadangUniversitas Putra Indonesia YPTK PadangOnline loans (commonly referred to as Pinjol) have become a widespread phenomenon in Indonesia, both in legal and illegal forms. It is undeniable that this is in line with the rapid development and innovation of technology. Pinjol cannot be separated from public comments, both positive and negative, on social media X. The study examined the communication patterns of Indonesian people using a sentiment analysis approach. The research utilized the Random Forest algorithm to perform sentient analysis. This algorithm combined the output of several decision trees to achieve a more accurate result. In addition to using a random forest algorithm, this study also made improvements by using stacking and boosting. The results of this study indicated that the highest accuracy of 86% was obtained by the SMOTE+RF+Adaboost (Boosting) model. In contrast, the lowest accuracy of 60% was obtained in the RF+Adaboost model with a stacking technique.https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/2058boostingrandom forestsmotesocial media xstacking |
| spellingShingle | Teri Ade Putra Vicky Ariandi Sarjon Defit Enhancing Accuracy by Using Boosting and Stacking Techniques on the Random Forest Algorithm on Data from Social Media X Ilkom Jurnal Ilmiah boosting random forest smote social media x stacking |
| title | Enhancing Accuracy by Using Boosting and Stacking Techniques on the Random Forest Algorithm on Data from Social Media X |
| title_full | Enhancing Accuracy by Using Boosting and Stacking Techniques on the Random Forest Algorithm on Data from Social Media X |
| title_fullStr | Enhancing Accuracy by Using Boosting and Stacking Techniques on the Random Forest Algorithm on Data from Social Media X |
| title_full_unstemmed | Enhancing Accuracy by Using Boosting and Stacking Techniques on the Random Forest Algorithm on Data from Social Media X |
| title_short | Enhancing Accuracy by Using Boosting and Stacking Techniques on the Random Forest Algorithm on Data from Social Media X |
| title_sort | enhancing accuracy by using boosting and stacking techniques on the random forest algorithm on data from social media x |
| topic | boosting random forest smote social media x stacking |
| url | https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/2058 |
| work_keys_str_mv | AT teriadeputra enhancingaccuracybyusingboostingandstackingtechniquesontherandomforestalgorithmondatafromsocialmediax AT vickyariandi enhancingaccuracybyusingboostingandstackingtechniquesontherandomforestalgorithmondatafromsocialmediax AT sarjondefit enhancingaccuracybyusingboostingandstackingtechniquesontherandomforestalgorithmondatafromsocialmediax |