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All Journal ComEngApp : Computer Engineering and Applications Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) CommIT (Communication & Information Technology) Sisforma: Journal of Information Systems Journal of Information Systems Engineering and Business Intelligence EMITTER International Journal of Engineering Technology IJoICT (International Journal on Information and Communication Technology) E-Dimas: Jurnal Pengabdian kepada Masyarakat Fountain of Informatics Journal Journal of Information Technology and Computer Science Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JOURNAL OF APPLIED INFORMATICS AND COMPUTING JMM (Jurnal Masyarakat Mandiri) JCES (Journal of Character Education Society) JUTEI (Jurnal Terapan Teknologi Informasi) International Journal of New Media Technology ABDIMAS SILIWANGI Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika Journal of Information Technology and Computer Engineering ComTech: Computer, Mathematics and Engineering Applications Altruis: Journal of Community Services Jurnal Abdimas Ilmiah Citra Bakti (JAICB) Journal of Technology and Informatics (JoTI) Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Inovatif Wira Wacana JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
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Journal : ComTech: Computer, Mathematics and Engineering Applications

Complexitor: An Educational Tool for Learning Algorithm Time Complexity in Practical Manner Elvina, Elvina; Karnalim, Oscar
ComTech: Computer, Mathematics and Engineering Applications Vol 8, No 1 (2017): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v8i1.3783

Abstract

Based on the informal survey, learning algorithm time complexity in a theoretical manner can be rather difficult to understand. Therefore, this research proposed Complexitor, an educational tool for learning algorithm time complexity in a practical manner. Students could learn how to determine algorithm time complexity through the actual execution of algorithm implementation. They were only required to provide algorithm implementation (i.e. source code written on a particularprogramming language) and test cases to learn time complexity. After input was given, Complexitor generated execution sequence based on test cases and determine its time complexity through Pearson correlation. An algorithm time complexity with the highest correlation value toward execution sequence was assigned as its result. Based on the evaluation, it can be concluded this mechanism is quite effective for determining time complexity as long as the distribution of given input set is balanced.
Complexitor: An Educational Tool for Learning Algorithm Time Complexity in Practical Manner Elvina Elvina; Oscar Karnalim
ComTech: Computer, Mathematics and Engineering Applications Vol. 8 No. 1 (2017): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v8i1.3783

Abstract

Based on the informal survey, learning algorithm time complexity in a theoretical manner can be rather difficult to understand. Therefore, this research proposed Complexitor, an educational tool for learning algorithm time complexity in a practical manner. Students could learn how to determine algorithm time complexity through the actual execution of algorithm implementation. They were only required to provide algorithm implementation (i.e. source code written on a particularprogramming language) and test cases to learn time complexity. After input was given, Complexitor generated execution sequence based on test cases and determine its time complexity through Pearson correlation. An algorithm time complexity with the highest correlation value toward execution sequence was assigned as its result. Based on the evaluation, it can be concluded this mechanism is quite effective for determining time complexity as long as the distribution of given input set is balanced.
Co-Authors ADELIA Adelia Adelia, Adelia Aditya Permadi Aditya Permadi Aldi Aldiansyah Andreas Widjaja Andreas Widjaja Andrisyah Andrisyah Andrisyah Andrisyah Annabel, Kathleen Felicia Avinash, Avinash Aziz Mu’min Bayu Rima Aditya Bertha Alan Manuel Bertha Alan Manuel Daniel Jahja Surjawan Devion Tanrico Diana Trivena Yulianti Dina Fitria Murad Dina Fitria Murad Doro Edi Egie Imandha, Egie Elvina Elvina Elvina Elvina Erico Darmawan Handoyo Fathul Jannah Felicia Annabel, Kathleen Felix Christian Jonathan Felix Christian Jonathan Felix Christian Jonathan Gisela Kurniawati Haba Ito, Ridolof Hapnes Toba Hendra Bunyamin Hendra Bunyamin Hendra Bunyamin Irawan Nurhas Iryanto Faot, Pace Ivana Valentina Johan, Meliana Christianti Julianti Kasih Julianti Kasih, Julianti Kurniawan, Phin Kurniawati, Gisela Kusman, Vardina Nava Madya Lemmuela , Ivana Valentina Liliawati, Swat Lie Lisan Sulistiani Lucky Christiawan Lucky Christiawan, Lucky Majiah, Arya Tri Putra Maresha Caroline Wijanto Maresha Caroline Wijanto Maresha Caroline Wijanto Maresha Caroline Wijanto Maresha Caroline Wijanto Maresha Caroline Wijanto Marlina Marlina Martua, Juan Sterling Metayani, Vanessa Mewati Ayub Mulyono, Yovie Adhisti Mu’min, Aziz Oscar Wongso Pangestu, Muftah Afrizal Panji Yudasetya Wiwaha Rachmi Rachmadiany Ricardo Franclinton Risal Risal Risal Robby Tan Rossevine Artha Nathasya Ruis, Nisa Deviani Agustin Samosir, Moses Marzuki Santiadi, Sherly Sendy Ferdian Sujadi Setia Budi Setia Budi Setiawan, Yehezkiel David Simalango, Veronica Marcella Angela Sofriesilero Zumaytis Sulaeman Santoso Sulistiani, Lisan Tanrico, Devion Teddy Marcus Zakaria Teddy Marcus Zakaria Tendy Cahyadi, Tendy Tjatur Kandaga Valentina, Ivana Vanessa Metayani Vardina Nava Madya Kusman Vincent Elbert Budiman Wenny Franciska Senjaya Wijaya, Bernadus Indra Wiwaha, Panji Yudasetya Yan Sen Paulus Yudha, Laurentius Gusti Ontoseno Panata Zaqi Megantara, Rizky