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All Journal Jurnal Teknologi dan Manajemen Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization INTEGER: Journal of Information Technology BAREKENG: Jurnal Ilmu Matematika dan Terapan JMM (Jurnal Masyarakat Mandiri) Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Vygotsky: Jurnal Pendidikan Matematika dan Matematika Prosiding Seminar Nasional Multidisiplin IJAIT (International Journal of Applied Information Technology) Inferensi eProceedings of Engineering Asia Information System Journal Nusantara Journal of Computers and its Applications Almantiq International Journal of Business and Management Technology in Society (IJBMTS)
Mochamad Nizar Palefi Ma’ady
Institut Teknologi Telkom Surabaya
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : Nusantara Journal of Computers and its Applications

 1 
ON FEATURED IOT FOR SMART PUBLIC TRANSPORTATION WITH CLOUD-BASED MACHINE LEARNING Mochamad Nizar Palefi Ma'ady
NJCA (Nusantara Journal of Computers and Its Applications) Vol 3, No 1 (2018): Juni 2018
Publisher : Computer Society of Nahdlatul Ulama (CSNU) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36564/njca.v3i1.42

Abstract

With rapid development of science and technology and the accelerated pace of urbanization, smart city has been also widely spread across our country. By Internet of Things, we put forward a kind innovative way of real-time air pollution monitoring into public city transportation vehicle. We take information about the surrounding environment through sensors and upload it directly to the internet. This paper fosters the advantages of the cloud-based computing frameworks (such as Microsoft Azure Machine Learning Studio) and presents a practical work-flow well-suited for the standard machine learning tasks.
Co-Authors Achmad Muzakki Alifiansyah Arrizqy Hidayat Andrew, Dennis Michael Anita Hakim Nasution Arip Ramadan Aris Kusumawati Artwodini Muqtadiroh, Feby Azizah, Faradilla Nur Chuan-Kai Yang Cornelia Angela Caezaria Denny Nurdiansyah Deyastusesa, Junanda Faisal Rizal Rahman Febryan, Rayhan Alief Feby Artwodini Muqtadiroh Habib Husni Mubarok Mubarok Hatma Suryotrisongko Ita Aristia Sa'ida Iwan Vanany Kartini, Alif Yuanita Liana, Serli April Meilanitasari, Prita Mohammad Hamim Zajuli Al Faroby Muhammad Ilham Alhari Mutiani, Tia Nisa Isrofi Novitasari, Diah Ayu Pratama, Arya Yudha Purnama Anaking Puspita Rini, Hafida Rahim, Ainatul Fathiyah Abdul Ramadhani, Cisa Valentino Cahya Renny Pradina Kusumawardani Rizal Rahman, Faisal Rizaldy, Denny Daffa Rizqy Athiyya Nafi’atus Sa’idah Rohmawati, Siti Rokhmatul Insani Rosidah, Nur Azizah Sanjaya, I Made Wisnu Adi Saputra, Ricky Adam Satria, Rahul Fahmi Serafina, Nauli Khalila Sukmawaty, Yuana Tabina Shafa Nabila Syahda Tita Ayu Rospricilia Ully Asfari Ummi Agustin Yuliana Utomo, Muchammad Chandra Cahyo Widyaiswari, Rahma Putri Wijayanti, Lulud Yohanes Setiawan