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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Journal of Information Systems Engineering and Business Intelligence Register: Jurnal Ilmiah Teknologi Sistem Informasi Indonesia Symposium on Computing Indonesian Journal on Computing (Indo-JC) IJoICT (International Journal on Information and Communication Technology) JOIN (Jurnal Online Informatika) Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Computer Science and Informatics Engineering (J-Cosine) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science Journal of Computer System and Informatics (JoSYC) Journal of Applied Data Sciences Charity : Jurnal Pengabdian Masyarakat Indonesian Community Journal Jurnal Pengabdian Masyarakat Akademisi eProceedings of Engineering Community Service Seminar and Community Engagement (COSECANT) LOGIC: Jurnal Penelitian Informatika Indonesian Journal on Computing (Indo-JC)
Ade Romadhony
Universitas Telkom
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Journal : JOIN (Jurnal Online Informatika)

 1 
Identifikasi Kesamaan Pertanyaan pada Soal Bahasa Indonesia Menggunakan Metode Recurrent Neural Network (RNN) Muhammad Iqbal; Hasmawati; Ade Romadhony
JOIN (Jurnal Online Informatika) Vol 8 No 2 (2023)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v8i2.1138

Abstract

In a question-and-answer forum, the identification of question similarity is used to determine how similar two questions are. This procedure makes sure that user-submitted questions are compared to the questions in a database for matches to improve system performance on the online Q&A platform. Currently, question similarity is mostly done in foreign languages. The purpose of this research is to identify question similarities and evaluate the effectiveness of the methods used in Indonesian language questions. The data used is a public dataset with labeled pairs of questions as 0 and 1 where label 0 for different pairs of questions and label 1 for the same pairs of questions. The method used is a Recurrent Neural Network (RNN) with the Manhattan Distance approach to calculate the similarity distance between two questions. The question pairs are taken as two inputs with a reference label to identify the similarity distance between the two question inputs. We evaluated the model using three different optimizers namely RMSprop, Adam, and Adagrad. The best results were obtained using the Adam optimizer with 80:20 ratio split-data and overall accuracy is 76%, precision is 74%, recall is 98.8%, and F1-score is 85.1%.
Identifikasi Kesamaan Pertanyaan pada Soal Bahasa Indonesia Menggunakan Metode Recurrent Neural Network (RNN) Iqbal, Muhammad; Hasmawati; Romadhony, Ade
JOIN (Jurnal Online Informatika) Vol 8 No 2 (2023)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v8i2.1138

Abstract

In a question-and-answer forum, the identification of question similarity is used to determine how similar two questions are. This procedure makes sure that user-submitted questions are compared to the questions in a database for matches to improve system performance on the online Q&A platform. Currently, question similarity is mostly done in foreign languages. The purpose of this research is to identify question similarities and evaluate the effectiveness of the methods used in Indonesian language questions. The data used is a public dataset with labeled pairs of questions as 0 and 1 where label 0 for different pairs of questions and label 1 for the same pairs of questions. The method used is a Recurrent Neural Network (RNN) with the Manhattan Distance approach to calculate the similarity distance between two questions. The question pairs are taken as two inputs with a reference label to identify the similarity distance between the two question inputs. We evaluated the model using three different optimizers namely RMSprop, Adam, and Adagrad. The best results were obtained using the Adam optimizer with 80:20 ratio split-data and overall accuracy is 76%, precision is 74%, recall is 98.8%, and F1-score is 85.1%.
Co-Authors A, Subaveerapandiyan Aditia Rafif Khoerulloh Adiwijaya Affan Fattahila, Ananda Agung Toto Wibowo Al Aufar, Arya Prima Al Faraby, Said Alfian Akbar Gozali Ali Ridho Fauzi Rahman Ananda Wulandari Anditya Arifianto Anisa Herdiani Anisah Firli Ardiansyah, Yusfi Arya Prima Al Aufar Bambang Pudjoatmodjo Bambang Pudjotatmodjo Barawi, Mohamad Hardyman Bedy Purnama Bhudi Jati Prio Utomo Bimmo Satryo Wicaksono Brady Rikumahu Dadan Rahadian Dade Nurjanah Dana Kusumo Dana S Kusumo Dana S Kusumo Dodi Wisaksono Sudiharto Donni Richasdy Ema Rachmawati Ema Rachmawati Fat'hah Noor Prawira Fat’hah Noor Prawira Fat’hah Noor Prawira Fazainsyah Azka Wicaksono Fazmah Arif Yulianto Fikri Rahmanda Noor Firdhaus Dwi Sukma Frima, Mariana Gheartha, I Gusti Bagus Yogiswara H Hasmawati Hamdy Nur Saidy Haryo Adi Nugroho Haryo Adi Nugroho Haryo Nugroho Hasmawat, Hasmawat Hasmawati Hasmawati Hasmawati Hasmawati Hasmawati Herman, Fizio Ramadhan Imelda Atastina Januarahman, Faishal Kemas Rahmat S.W Kemas Rahmat Saleh Wiharja Lintani Afina Hajar Raudhoti Luh Putri Ayu Ningsih Mahmud Dwi Sulistiyo Moch Arif Bijaksana Muhammad Arzaki Muhammad Aziz Pratama Muhammad Farrel Muhammad Iqbal Muhammad Iqbal Muhammad Taufik Wahdiat Muhammad Zaky Aonillah Nadine Azhalia Purbani Ningsih, Shabrina Retno Nugraha, Azhar Baihaqi Nur, Farhan Ahmadi Javier othman, mohd kamal Pramana, Rifki Adi Prawita, Fat’hah Noor Putu Harry Gunawan Ramanti Dharayani Rhesa Hermawan Ridea Valentini Peristiwari Siwabessy Rifki Wijaya Rimba Whidiana Ciptasari Riska Junia Wulandari Rita Rismala Said Faraby Selly Meliana Setiawan, Muhammad Rizki Ramadhan Siti Saadah Tresna Ariesta, Bayu Untari Novia Wisesty Wijaya, Kurniadi Ahmad