2012 ©
             Publication
Journal Publication
Research Title Predictive Analysis of GHG Emissions Using Machine Learning: A Case Study of Indonesia in Achieving Net-Zero Emissions 
Date of Distribution 7 October 2024 
Conference
     Title of the Conference The 4th ASEAN International Conference on Energy and Environment 
     Organiser ASEAN Centre for Energy 
     Conference Place Lao National Conventional Center 
     Province/State Vientiane, Lao PDR 
     Conference Date 25 September 2024 
     To 25 September 2024 
Proceeding Paper
     Volume 2024 
     Issue
     Page 70 
     Editors/edition/publisher ASEAN Centre for Energy 
     Abstract This study aims to examine Indonesia faces a challenging journey towards achieving its netzero emissions target by 2060. This research presents a predictive analytics framework for informing greenhouse gas emissions in Indonesia utilizing machine learning tool. Given the complexity of climate variables and the urgency of effective climate policy, evaluation methods are insufficient. The framework aims to provide actionable insights into the effectiveness of existing climate policies and future strategies. Methodologically, the research uses quantitative which involve data collection from international databases, data preprocessing, and then applying machine learning algorithms for predictive analysis by utilizing time-series. The findings indicate a significant correlation between the model's predictions and existing climate data, thereby validating its applicability in policy assessment. By integrating this predictive model into climate policy, the study offers data-driven approach to climate governance, bridging the gap between technological advancements and climate data. This research contributes both to the academic discourse in predictive analytics and GHG Emission, as well as providing a practical tool for policymakers in Indonesia working towards the 2060 net-zero emissions goal. 
Author
675280008-9 Mr. FAKHRI NAUFAL AZHAR [Main Author]
College of Local Administration Master's Degree
667210005-0 Mr. NIZAR FAUZAN
Business Administration and Accountancy Doctoral Degree

Peer Review Status มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Abstract 
Type of Presentation Oral 
Part of thesis false 
ใช้สำหรับสำเร็จการศึกษา ไม่เป็น 
Presentation awarding false 
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