Prediction of Carbon Emissions in Indonesia Using Machine Learning: A Focus on Environmental Impact
Carbon emissions represent a critical driver of global climate change, exerting profound impacts on environmental sustainability and public health. This research examines Indonesia's carbon emission trends using a comprehensive dataset spanning global emissions from 1960 to 2018, with specific...
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| Format: | Article |
| Language: | English |
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Program Studi Teknik Informatika Universitas Trilogi
2024-12-01
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| Series: | JISA (Jurnal Informatika dan Sains) |
| Subjects: | |
| Online Access: | https://trilogi.ac.id/journal/ks/index.php/JISA/article/view/2115 |
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| _version_ | 1850101570637660160 |
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| author | Rizaldi Putra Memet Sanjaya Deni Utama Berliana Berliana |
| author_facet | Rizaldi Putra Memet Sanjaya Deni Utama Berliana Berliana |
| author_sort | Rizaldi Putra |
| collection | DOAJ |
| description | Carbon emissions represent a critical driver of global climate change, exerting profound impacts on environmental sustainability and public health. This research examines Indonesia's carbon emission trends using a comprehensive dataset spanning global emissions from 1960 to 2018, with specific focus on Indonesia, obtained from Kaggle. Employing Linear Regression (LR) as the primary machine learning technique, the study effectively models and forecasts future carbon emission levels for Indonesia. The findings indicate a projected increase in emissions to 2.38 tons per capita annually by 2030, underscoring the urgent need for robust environmental policies. |
| format | Article |
| id | doaj-art-3e76c64f77494713bb5ecf41f65abf24 |
| institution | DOAJ |
| issn | 2776-3234 2614-8404 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Program Studi Teknik Informatika Universitas Trilogi |
| record_format | Article |
| series | JISA (Jurnal Informatika dan Sains) |
| spelling | doaj-art-3e76c64f77494713bb5ecf41f65abf242025-08-20T02:39:59ZengProgram Studi Teknik Informatika Universitas TrilogiJISA (Jurnal Informatika dan Sains)2776-32342614-84042024-12-017214815210.31326/jisa.v7i2.2115995Prediction of Carbon Emissions in Indonesia Using Machine Learning: A Focus on Environmental ImpactRizaldi Putra0Memet Sanjaya1Deni Utama2Berliana Berliana3Politeknik TakumiPoliteknik TakumiPoliteknik TakumiPoliteknik TakumiCarbon emissions represent a critical driver of global climate change, exerting profound impacts on environmental sustainability and public health. This research examines Indonesia's carbon emission trends using a comprehensive dataset spanning global emissions from 1960 to 2018, with specific focus on Indonesia, obtained from Kaggle. Employing Linear Regression (LR) as the primary machine learning technique, the study effectively models and forecasts future carbon emission levels for Indonesia. The findings indicate a projected increase in emissions to 2.38 tons per capita annually by 2030, underscoring the urgent need for robust environmental policies.https://trilogi.ac.id/journal/ks/index.php/JISA/article/view/2115machine learningcarbon emissionindonesialinear regression |
| spellingShingle | Rizaldi Putra Memet Sanjaya Deni Utama Berliana Berliana Prediction of Carbon Emissions in Indonesia Using Machine Learning: A Focus on Environmental Impact JISA (Jurnal Informatika dan Sains) machine learning carbon emission indonesia linear regression |
| title | Prediction of Carbon Emissions in Indonesia Using Machine Learning: A Focus on Environmental Impact |
| title_full | Prediction of Carbon Emissions in Indonesia Using Machine Learning: A Focus on Environmental Impact |
| title_fullStr | Prediction of Carbon Emissions in Indonesia Using Machine Learning: A Focus on Environmental Impact |
| title_full_unstemmed | Prediction of Carbon Emissions in Indonesia Using Machine Learning: A Focus on Environmental Impact |
| title_short | Prediction of Carbon Emissions in Indonesia Using Machine Learning: A Focus on Environmental Impact |
| title_sort | prediction of carbon emissions in indonesia using machine learning a focus on environmental impact |
| topic | machine learning carbon emission indonesia linear regression |
| url | https://trilogi.ac.id/journal/ks/index.php/JISA/article/view/2115 |
| work_keys_str_mv | AT rizaldiputra predictionofcarbonemissionsinindonesiausingmachinelearningafocusonenvironmentalimpact AT memetsanjaya predictionofcarbonemissionsinindonesiausingmachinelearningafocusonenvironmentalimpact AT deniutama predictionofcarbonemissionsinindonesiausingmachinelearningafocusonenvironmentalimpact AT berlianaberliana predictionofcarbonemissionsinindonesiausingmachinelearningafocusonenvironmentalimpact |