This study aims to analyze the impact of corporate governance, renewable energy, and waste management on sustainable development goals (SDGs) at PT Rajawali Dwi Putra Indonesia. The three variables were chosen because they are closely related to sustainability activities that have become a global focus, especially in facing environmental, economic, and social challenges. This study uses a quantitative approach with data collection techniques through a 1-5 Likert scale questionnaire distributed to all company employees through the census method. Data analysis was conducted using multiple linear regression which includes validity, reliability, classical assumptions, and hypothesis testing (t test and F test). The results showed that partially, renewable energy and corporate governance have a significant positive effect on development goals. Meanwhile, waste management also has a significant effect yet a negative relationship direction. Simultaneously, the three independent variables have a significant positive effect on sustainable development goals. These findings are expected to be a reference for companies in formulating sustainability strategies and supporting the acceleration of achieving sustainable development goals, especially in developing countries such as Indonesia.

Commuter Line ialah salah satu sektor pelayanan publik dibidang transportasi banyak dipergunakan oleh masyarakat saat ini. Sesuai perkembangan teknologi banyak opini masyarakat terhadap pelayanan Commuter Line beredar secara online, untuk menyampaikan opininya masyarakat menggunakan media sosial seperti Twitter. Media Twitter dapat dijadikan sebagai bahan evaluasi peningkatan kualitas layanan. Twitter memudahkan pelanggan untuk menyampaikan keluhan serta pendapat terkait layanan seperti PT KAI Commuter. Untuk memahami komentar pelanggan, persepsi layanan publik, dan mendapatkan opini baru maka perlu dilakukan analisis sentimen terhadap pelayanan Commuter Line. Analisis sentimen ini bertujuan untuk mengklasifikasikan tweets masyarakat terhadap layanan Commuter Line ke dalam sentimen complain dan not complain dengan menggunakan metode Naive Bayes. Metode ini mempunyai tingkat akurasi paling tinggi dalam pengklasifikasian analisis sentimen. Data yang diunduh dari Twitter menggunakan aplikasi RapidMiner sebanyak 1.010 tweet dan data validasi sebanyak 1.003 tweets. Pada akhir tahap penelitian diperoleh accuracy 78,11%, precision 81,76%, recall 72,51%, dan AUC yang didapat sebesar 0,814.
 
Kata kunci: Analisis sentimen; Commuter Line; Twitter; Naive Bayes