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Journal : Scientific Journal of Informatics

Automatic Scoring Using Term Frequency Inverse Document Frequency Document Frequency and Cosine Similarity Winda Yulita; Meida Cahyo Untoro; Mugi Praseptiawan; Ilham Firman Ashari; Aidil Afriansyah; Ahmad Naim Bin Che Pee
Scientific Journal of Informatics Vol 10, No 2 (2023): May 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v10i2.42209

Abstract

Purpose: In the learning process, most of the tests to assess learning achievement have been carried out by providing questions in the form of short answers or essay questions. The variety of answers given by students makes a teacher have to focus on reading them. This scoring process is difficult to guarantee quality if done manually. In addition, each class is taught by a different teacher, which can lead to unequal grades obtained by students due to the influence of differences in teacher experience. Therefore the purpose of this study is to develop an assessment of the answers. Automated short answer scoring is designed to automatically grade and evaluate students' answers based on a series of trained answer documents.Methods: This is ‘how’ you did it. Let readers know exactly what you did to reach your results. For example, did you undertake interviews? Did you carry out an experiment in the lab? What tools, methods, protocols or datasets did you use The method used is TF-IDF-DF and Similarity and scoring computation.  Theword weight used is the term Frequency-Inverse Documents Frequency -Document Frequency (TF-IDF-DF) method. The data used is 5 questions with each question answered by 30 students, while the students' answers are assessed by teachers/experts to determine the real score. The study was evaluated by Mean Absolute Error (MAE).Result: The evaluation results obtained Mean Absolute Error (MAE) with a resulting value of 0.123.Value: The word weighting method used is the Term Frequency Inverse Document Frequency DocumentFrequency (TF-IDF-DF) which is an improvement over the Term Frequency Inverse Document Frequency (TF-IDF) method. This method is a method of weighting words that will be applied before calculating the similarity of sentences between teachers and students.
Co-Authors Abillah, Bintang Adinda Sekar Tanjung Aditya Wahyu Nugraha Afriansyah, Aidil Agustinus Noertjahyana Ahmad Naim Bin Che Pee Aidil Afriansya Aidil Afriansyah Aidil Afriasnyah Alam Fathurochman, Alam Alfajar Puja Kusuma Algifari, Muhammad Habib Amirul Iqbal Amrulloh, Iqbal Andika Setiawa Andika Setiawan Andre Febrianto Anggraini , Ade Eka Ardi Gaya Manalu Arre Pangestu Athalla, Muhammad Nadhif Bahri, Samsu Baraku, Randi Baskara, Rizandi Agung Che Pee, Ahmad Naim Dadan Sujana Daniel Rinald Dita Alviuni P Drajat, Hilmi Maulana Dyah Ayu Larasati Eka Nur'azmi Yunira Eko Dwi Nugroho Eko Dwi Nugroho Endo Pebri Dani Putra Fauzan Natsir Feri Fahrianto Filiana, Edinia Rosa Firmansyah, Hafiz Budi Gunawan, Rayhan Fatih Hanfiro, Pauline Hersa Dwi Yanuarso Ilham Firman Ashari Ilham Firman Ashari Jati Fatmawiyati Khusnul Khotimah Kurniawansyah, Apri Laisya, Nashwa Putri Leo Viranda Millennium Lisdayana, Nurmalisa M. Syamsuddin Wisnubroto M. Yafi Fahmi Madi Madi Marbun, Rustian Afencius Maria Oktarise Natania Gultom Marsista Buana Putri, Marsista Buana Mastuti Widianingsih, Mastuti Matdoan, Sakina Meida Cahyo Untoro Miranti Verdiana Muhamad Djuanda Muhammad Affandi Muhammad Iqbal Muhammad Nadhif Athalla Muhammad Yusuf Naufal Raki Nela Agustin Kurnianingsih Nuk Ghurroh Setyoningrum Nur'azmi, Eka Oriza Zativalen, Oriza Perdana, Agung Mahadi Putra Prabandari, Pungki Resti Praramadhana, Daffa Pratama, Djourdi Amrida Pungki Resti Prabandari Putri, Nabila Muthia Putty Yunesti Radhinka Bagaskara Rahman Indra Kesuma Rahmat Setiawan Raidah Hanifah Raidah Hanifah Ramadhan, Irzal Raisya Revangga, Dwi Arthur Rinaldi, Daniel Risfihan Rafi Salisu, Imam Auwal Samsu Bahri Sianturi, Elsa Elisa Yohana Sinaga, Nydia Renli Siregar, Abu Bakar Siddiq Sisilia Juli A Solly Aryza Sophia Nouriska Sudiarjo, Aso Suranta, Akmal Fauzan Untoro, Meida Cahyo Untoro, Meida Cahyo Utoro, Meida Cahyo Vebera Maslami Verdiana, Miranti Wafiqah Azhar , Afra Wafiqah Azhar, Afra Winda Yulita Winda Yulita Wisnubroto, M. Syamsuddin Yulita, Winda Yunira, Eka Nur'azmi Zainal Arifin Zakaria, Mohd Hafiz