ACRIG

Publications

Some of our publication can be found in Google Scholar and Scopus.

Journal Publications:

English

  1. Imanda, J. N. T., Bachtiar, F. A., & Ridok, A. (2023). Application of Deep Convolutional Generative Adversarial Networks to Generate Pose Invariant Facial Image Synthesis Data | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi). RESTI, 7(5), 1049–1055. [PDF]
  2. Reihan, M., Pradana, F., & Bachtiar, F. A. (2023). E-Course Information System Development for Web-Based Bisindo Learning. Proceedings of the 7th International Conference on Sustainable Information Engineering and Technology, 253–257. https://doi.org/10.1145/3568231.3568272. [Link]
  3. Renavitasari, I. R. D., Tolle, H., Bachtiar, F. A., & Supianto, A. A. (2023). Educational Media Development using Guided Discovery Learning Approach in Chemical Element Subject | Journal of Information Technology and Computer Science. Journal of Information Technology and Computer Science, 8(2). https://jitecs.ub.ac.id/index.php/jitecs/article/view/448 [PDF]
  4. Rismawan, F. A., & Bachtiar, F. A. (2023). Classification of Mobile Usage Car Driving Activities Using Convolutional Neural Network. Proceedings of the 7th International Conference on Sustainable Information Engineering and Technology, 28–33. https://doi.org/10.1145/3568231.3568237. [Link]
  5. Soetedjo, R. S., & Bachtiar, F. A. (2023). Kansei Engineering Evaluation on Game Design Using Customer Reviews. Proceedings of the 7th International Conference on Sustainable Information Engineering and Technology, 338–343. https://doi.org/10.1145/3568231.3568289. [Link]
  6. Renavitasari, I. R. D., Tolle, H., Bachtiar, F. A., & Supianto, A. A. (2023). Educational Media Development using Guided Discovery Learning Approach in Chemical Element Subject | Journal of Information Technology and Computer Science. Journal of Information Technology and Computer Science, 8(2). https://jitecs.ub.ac.id/index.php/jitecs/article/view/448. [PDF]
  7. Darfiansa, L. S., & Bachtiar, F. A. (2023). Comparative Analysis of Term Weighting Methods for Question Classification in Bloom Taxonomy Using Machine Learning Approach. 2023 IEEE International Conference on Computing (ICOCO), 259–264. https://doi.org/10.1109/ICOCO59262.2023.10397821 [Link]
  8. Pratama, R. A., Yudistira, N., & Bachtiar, F. A. (2023). Violence recognition on videos using two-stream 3D CNN with custom spatiotemporal crop. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-15599-0. [Link]
  9. Wafi, M., Bachtiar, F. A., & Utaminingrum, F. (2023). Feature extraction comparison for facial expression recognition using adaptive extreme learning machine. International Journal of Electrical and Computer Engineering (IJECE), 13(1), 1113. https://doi.org/10.11591/ijece.v13i1.pp1113-1122. [PDF]
  10. Nadifa, U., Bachtiar, F. A., Supianto, A. A., & Tolle, H. (2022). Review of Technique and Algorithm for Educational Data Mining: Trend and Challenge in Games Design. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 35–44. https://doi.org/10.22219/kinetik.v7i1.1349. [PDF]
  11. Abdullah, F., Dewantoro, M. F., Thawonmas, R., & Bachtiar, F. A. (2022). Science Birds Gameplay With a Smile Interface to Promote the Spectator’s Emotion. 2022 IEEE Conference on Games (CoG), 584–585. https://doi.org/10.1109/CoG51982.2022.9893545. [Link]
  12. Anggina, S., Setiawan, N. Y., & Bachtiar, F. A. (2022). Analysis of Customer Reviews Using Multinomial Naïve Bayes Classifier with Lexicon-Based and TF-IDF at Formaggio Coffee and Resto. @is The Best : Accounting Information Systems and Information Technology Business Enterprise, 7(1), 76–90. https://doi.org/10.34010/aisthebest.v7i1.7072. [PDF]
  13. Pradana, F., Bachtiar, F. A., & Widasari, E. R. (2022). Fuzzy Tsukamoto Implementation to Detect Physiological Condition on IoT-Based e-Learning Users. International Journal of Information and Education Technology, 12(7), 663–667. https://doi.org/10.18178/ijiet.2022.12.7.1668. [PDF]
  14. Nugroho, K. S., Bachtiar, F. A., & Mahmudy, W. F. (2022). Detecting Emotion in Indonesian Tweets: A Term-Weighting Scheme Study. Journal of Information Systems Engineering and Business Intelligence, 8(1), Article 1. https://doi.org/10.20473/jisebi.8.1.61-70. [PDF]
  15. Anggina, S., Setiawan, N. Y., & Bachtiar, F. A. (2022). Analysis of Customer Reviews Using Multinomial Naïve Bayes Classifier with Lexicon-Based and TF-IDF at Formaggio Coffee and Resto. @is The Best : Accounting Information Systems and Information Technology Business Enterprise, 7(1), 76–90. https://doi.org/10.34010/aisthebest.v7i1.7072. [PDF]
  16. Khoirullah, H. B., Yudistira, N., & Bachtiar, F. A. (2022). Facial Expression Recognition Using Convolutional Neural Network with Attention Module. JOIV : International Journal on Informatics Visualization, 6(4), 897–903. https://doi.org/10.30630/joiv.6.4.963. [PDF]
  17. Sugihdharma, J. A., & Bachtiar, F. A. (2022). Myers-Briggs Type Indicator Personality Model Classification in English Text using Convolutional Neural Network Method. Jurnal Ilmu Komputer Dan Informasi, 15(2), Article 2. https://doi.org/10.21609/jiki.v15i2.1052. [PDF]
  18. Arifien, Z., Bachtiar, F. A., & Yudistira, N. (2022). Pengenalan Aktivitas Manusia Menggunakan Sensor Akselerometer dan Giroskop pada Smatphone dengan Metode K-Nearest Neighbor. Jurnal Teknologi Informasi dan Ilmu Komputer, 9(1), Article 1. https://doi.org/10.25126/jtiik.2022915593. [PDF]
  19. Kartiko, E. Y., Ramdani, F., & Bachtiar, F. A. (2022). Comparing and Analysis of Geospatial Interpolation Prediction Algorithm: Case Study The Quality of Education of Malang and Batu City, Indonesia. Journal of Information Technology and Computer Science, 7(1), Article 1. https://doi.org/10.25126/jitecs.202271373. [PDF]
  20. Awalina, A., Bachtiar, F. A., & Utaminingrum, F. (2022). Perbandingan Pretrained Model Transformer pada Deteksi Ulasan Palsu. Jurnal Teknologi Informasi dan Ilmu Komputer, 9(3), Article 3. https://doi.org/10.25126/jtiik.2022935696. [PDF]
  21. Azizah, R. A., Bachtiar, F., & Adinugroho, S. (2022). Klasifikasi Kinerja Akademik Siswa Menggunakan Neighbor Weighted K-Nearest Neighbor dengan Seleksi Fitur Information Gain. Jurnal Teknologi Informasi dan Ilmu Komputer, 9(3), Article 3. https://doi.org/10.25126/jtiik.2022935751. [PDF]
  22. Hidayatullah, A. S., Bachtiar, F. A., & Cholissodin, I. (2021). Penerapan Algoritme Nearest Centroid Neighbor Classifier Based on K Local Means Using Harmonic Mean Distance (LMKHNCN) Untuk Klasifikasi Hasil Kinerja Pegawai Negeri Sipil. Jurnal Teknologi Informasi dan Ilmu Komputer, 8(6), Article 6. https://doi.org/10.25126/jtiik.2021834431. [PDF]
  23. Kudori, D. S., Tolle, H., & Bachtiar, F. A. (2021). Application Of A Hybrid Method To Build A Mobile Device-based Event Recommendation System. Journal of Information Technology and Computer Science, 6(1), 107–116. [PDF]
  24. Cahya, R. A., Bachtiar, F. A., & Mahmudy, W. F. (2021). Comparison of Bagging Ensemble Combination Rules for Imbalanced Text Sentiment Analysis. Journal of Information Technology and Computer Science, 6(1), Article 1. https://doi.org/10.25126/jitecs.202161206. [PDF]
  25. Biabdillah, F., Tolle, H., & Bachtiar, F. A. (2021). Go Story: Design and Evaluation Educational Mobile Learning Podcast using Human Centered Design Method and Gamification for History. Journal of Information Technology and Computer Science, 6(3), Article 3. https://doi.org/10.25126/jitecs.202163345. [PDF]
  26. Miningrum, T., Tolle, H., & Bachtiar, F. A. (2021). Augmented Reality Adapted Book (AREmotion) Design as Emotional Expression Recognition Media for Children with Autistic Spectrum Disorders (ASD). International Journal of Advanced Computer Science and Applications (IJACSA), 12(6), Article 6. https://doi.org/10.14569/IJACSA.2021.0120674. [PDF]
  27. Taqiuddin, R., Bachtiar, F. A., & Purnomo, W. (2021). Opinion Spam Classification on Steam Review using Support Vector Machine with Lexicon-Based Features. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control. https://doi.org/10.22219/kinetik.v6i4.1323. [PDF]
  28. Nugroho, S. A., Bachtiar, F. A., & Wihandika, R. C. (2021). Aspect Extraction In E-Commerce Using Latent Dirichlet Allocation (LDA) With Term Frequency-Inverse Document Frequency (TF-IDF). Jurnal Ilmiah Kursor, 11(2), Article 2. https://doi.org/10.21107/kursor.v11i2.247. [PDF]
  29. Laksono, E., Basuki, A., & Bachtiar, F. (2020). Optimization of K Value in KNN Algorithm for Spam and Ham Email Classification | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi). https://www.jurnal.iaii.or.id/index.php/RESTI/article/view/1845. [PDF]
  30. Wahyudi, H. B., Ramdani, F., & Bachtiar, F. A. (2020). 2D and 3D Geovisualization: Learning user Preferences in Landslide Vulnerability. Journal of Information Technology and Computer Science, 5(1), Article 1. https://doi.org/10.25126/jitecs.202051167. [PDF]
  31. Zayn, A. R., Ramdani, F., & Bachtiar, F. A. (2020). Agent-based Modeling and Simulation for Evacuation of Landslides Natural Disaster. Journal of Information Technology and Computer Science, 5(2), Article 2. https://doi.org/10.25126/jitecs.202052172. [Link]
  32. Marianingsih, S., Utaminingrum, F., & Abdurrachman, F. (2019). Road Surface Types Classification Using Combination of K-Nearest Neighbor and Naïve Bayes Based on GLCM. Int. J. Advance Soft Compu Appl, 11(2). [PDF]
  33. Pangestu, G., Utaminingrum, F., Universitas Brawijaya, Bachtiar, F., & Universitas Brawijaya. (2019). Eye State Recognition Using Multiple Methods for Applied to Control Smart Wheelchair. International Journal of Intelligent Engineering and Systems, 12(1), 232–241. https://doi.org/10.22266/ijies2019.0228.23. [PDF]
  34. Supianto, A. A., Wicaksono, S. A., Bachtiar, F. A., Herlambang, A. D., Hayashi, Y., & Hirashima, T. (2019). Web-based Application for Visual Representation of Learners’ Problem-Posing Learning Pattern. Journal of Information Technology and Computer Science, 4(1), Article 1. https://doi.org/10.25126/jitecs.20194172. [PDF]
  35. Anshori, M., Mar’i, F., & Bachtiar, F. A. (2019). Comparison of Machine Learning Methods for Android Malicious Software Classification based on System Call. 2019 International Conference on Sustainable Information Engineering and Technology (SIET), 343–348. https://doi.org/10.1109/SIET48054.2019.8985998. [Link]
  36. Pangestu, G., Utaminingrum, F., & Bachtiar, F. A. (2019). Eyeball Movement Detection System using Corner Triangle Similarity, Naïve Bayes, and Ear Approach. Int. J. Advance Soft Compu, 11, No 2. [PDF]
  37. Sugiarto, V., Ramdani, F., & Bachtiar, F. (2019). Modeling Agent-Oriented Methodologies for Landslide Management. Journal of Information Technology and Computer Science, 4(2), Article 2. https://doi.org/10.25126/jitecs.201942129. [PDF]
  38. Siswahyudi, P., Ramdani, F., & Bachtiar, F. A. (2019). Evaluating Conceptual Framework for Landslides Natural Disaster Management using Feature Analysis. Journal of Information Technology and Computer Science, 4(3), Article 3. https://doi.org/10.25126/jitecs.201943128. [PDF]
  39. Sarosa, S. J. A., Utaminingrum, F., & Bachtiar, F. A. (2019). Breast Cancer Classification Using GLCM and BPNN. Int. J. Advance Soft Compu Appl, 11, No 3.. [PDF]
  40. Abdullah, F., Yang, C., Paliyawan, P., Thawonmas, R., Harada, T., & Bachtiar, F. A. (2019). Promoting Emotions with Angry Birds-like Gameplay on Rube Goldberg Machine Levels. 2019 IEEE International Conference on Consumer Electronics – Asia (ICCE-Asia), 149–150. https://doi.org/10.1109/ICCE-Asia46551.2019.8941596. [Link]
  41. Bachtiar, F. A., Cooper, E. W., Sulistyo, G. H., & KAMEI, K. (2016). Student Assessment Based on Affective Factors in English Learning Using Fuzzy Inference. International Journal of Affective Engineering, 15(2), 101–108. [PDF]
  42. Pradana, F., Rachmadi, A., & Bachtiar, F. A. (2015). Penilaian Faktor Penerimaan Teknologi Blended learning di PTIIK Universitas Brawijaya dengan Metode Unified Theory of Acceptance and Use of Technology (UTAUT). Jurnal Teknologi Informasi Dan Ilmu Komputer, 2(1), Article 1. https://doi.org/10.25126/jtiik.201521130. [PDF]
  43. Bachtiar, F. A., Sulistyo, G. H., Cooper, E. W., & Kamei, K. (2015). Fuzzy Inference System Based on a Model of Affective Cognitive Criteria for English Learning Achievement. Information Engineering Express, 1(3), 39–48. https://doi.org/10.52731/iee.v1.i3.45. [PDF]
  44. Bachtiar, F., Cooper, E., & Kamei, K. (2014). Modeling Student Affect in English Learning Achievement Using Association Rules. The Asian Conference on Society, Education and Technology 2014 Official Conference Proceedings. [PDF]
  45. Bachtiar, F. A., Kamei, K., & Cooper, E. W. (2012). A Neural Network Model of Students’ English Abilities Based on Their Affective Factors in Learning. Journal of Advanced Computational Intelligence and Intelligent Informatics, 16(3), 375–380. https://doi.org/10.20965/jaciii.2012.p0375. [PDF]

Indonesia

  1. Mahing, N. F., Gunawan, A. L., Zen, A. F. A., Bachtiar, F. A., & Wicaksono, S. A. (2023). Klasifikasi Tingkat Stress dari Data Berbentuk Teks dengan Menggunakan Algoritma Support Vector Machine (SVM) dan Random Forest. Jurnal Teknologi Informasi dan Ilmu Komputer, 10(7), Article 7. https://doi.org/10.25126/jtiik.1078010. [PDF]
  2. Amrillah, M. I., Rokhmawati, R. I., & Bachtiar, F. A. (2023). Redesain Aplikasi Mobile Supervisi Observasi Kelas untuk Meningkatkan Tingkat Usability. Jurnal Teknologi Informasi dan Ilmu Komputer, 10(7), Article 7. https://doi.org/10.25126/jtiik.1078006. [PDF]
  3. Larasati, S. S. A., Dewi, E. N. K., Farhansyah, B. H., Bachtiar, F. A., & Pradana, F. (2023). Penerapan Decision Tree dan Random Forest dalam Deteksi Tingkat Stres Manusia Berdasarkan Kondisi Tidur. Jurnal Teknologi Informasi dan Ilmu Komputer, 10(7), Article 7. https://doi.org/10.25126/jtiik.1077993. [PDF]
  4. Lui, M. S., Bachtiar, F. A., & Yudistira, N. (2023). Penerapan Deep Convolutional Generative Adversarial Network Untuk Menciptakan Data Sintesis Perilaku Pengemudi Dalam Berkendara. Jurnal Teknologi Informasi dan Ilmu Komputer, 10(5), Article 5. https://doi.org/10.25126/jtiik.20231056978 [PDF]
  5. Hasan, R. A. N., Pradana, F., & Bachtiar, F. A. (2022). Pengembangan Sistem Monitoring Mengidentifikasi Vital Sign Suhu Tubuh dan Jantung pada Orang Tua. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 6(4), Article 4. [PDF]
  6. Awalina, A., Bachtiar, F. A., & Indriati, I. (2022). Klasifikasi Ulasan Palsu Menggunakan Borderline Over Sampling (BOS) dan Support Vector Machine (SVM) (Studi Kasus: Ulasan Tempat Makan). Jurnal Teknologi Informasi dan Ilmu Komputer, 9(2), Article 2. https://doi.org/10.25126/jtiik.2022925692. [PDF]
  7. Istanto, R. S. H., Bachtiar, F. A., & Ridok, A. (2022). Pengaruh Word Affect Intensities Terhadap Deteksi Ulasan Palsu. Jurnal Teknologi Informasi dan Ilmu Komputer, 9(2), Article 2. https://doi.org/10.25126/jtiik.2022925652. [PDF]
  8. Hasan, R. A. N., Pradana, F., & Bachtiar, F. A. (2022). Pengembangan Sistem Monitoring Mengidentifikasi Vital Sign Suhu Tubuh dan Jantung pada Orang Tua. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 6(4), Article 4. [PDF]
  9. Pradana, F., Bachtiar, F. A., Rusdianto, D. S., Arwan, A., & Risa, D. F. (202 C.E.). Pelatihan Penggunaan Aplikasi Bimbingan Konseling bagi Guru SMA/SMK | DIMASLOKA : Jurnal Pengabdian Masyarakat Teknologi Informasi Dan Informatika. 1(1), 8–13. [PDF]
  10. Amadea, K., Bachtiar, F. A., & Pangestu, G. (2022). Klasifikasi Pola Pergerakan Bola Mata Menggunakan Metode Multilayer Backpropagation. Jurnal Teknologi Informasi dan Ilmu Komputer, 9(2), Article 2. https://doi.org/10.25126/jtiik.2022925668. [PDF]
  11. Rokhmawati, R. I., Bachtiar, F. A., Pradana, F., & Alfian, K. (2022). Analisis Model Mental Mahasiswa dalam Pengembangan E-Learning Pemrograman Berbasis Gamifikasi Menggunakan Metode Agile UX. Jurnal Teknologi Informasi dan Ilmu Komputer, 9(2), Article 2. https://doi.org/10.25126/jtiik.2022925642. [PDF]
  12. Arifien, Z., Bachtiar, F. A., & Yudistira, N. (2022). Pengenalan Aktivitas Manusia Menggunakan Sensor Akselerometer dan Giroskop pada Smatphone dengan Metode K-Nearest Neighbor. Jurnal Teknologi Informasi dan Ilmu Komputer, 9(1), Article 1. https://doi.org/10.25126/jtiik.2022915593. [PDF]
  13. Sinana, A. R., Tolle, H., & Bachtiar, F. A. (2022). Desain Media Pembelajaran dengan Model Problem-based Learning dan Gamitifikasi untuk Materi Bangun Ruang Tingkat SMK Berbasis Virtual Rality. Jurnal Teknologi Informasi dan Ilmu Komputer, 9(2), Article 2. https://doi.org/10.25126/jtiik.2022925627. [PDF]
  14. Hidayatullah, A. S., Bachtiar, F. A., & Cholissodin, I. (2021). Penerapan Algoritme Nearest Centroid Neighbor Classifier Based on K Local Means Using Harmonic Mean Distance (LMKHNCN) Untuk Klasifikasi Hasil Kinerja Pegawai Negeri Sipil. Jurnal Teknologi Informasi dan Ilmu Komputer, 8(6), Article 6. https://doi.org/10.25126/jtiik.2021834431. [PDF]
  15. Bachtiar, F. A., & Wafi, M. (2021). Komparasi Metode Klasifikasi untuk Deteksi Ekspresi Wajah Dengan Fitur Facial Landmark. Jurnal Teknologi Informasi dan Ilmu Komputer, 8(5), Article 5. https://doi.org/10.25126/jtiik.2021834434. [PDF]
  16. Risa, D. F., Pradana, F., & Bachtiar, F. A. (2021). Implementasi Metode Naive Bayes untuk Mendeteksi Stres Siswa Berdasarkan Tweet pada Sistem Monitoring Stres. Jurnal Teknologi Informasi dan Ilmu Komputer, 8(6), Article 6. https://doi.org/10.25126/jtiik.2021864372. [PDF]
  17. Bachtiar, F., Indah R, R., Pradana, F., & Habibie, Y. (2021). Evaluasi Usability Aplikasi Elektronik-Kesehatan Ibu dan Anak (e-KIA). Jurnal Teknologi Informasi Dan Ilmu Komputer, 8, 1277. https://doi.org/10.25126/jtiik.2021824426. [PDF]
  18. Pradana, F., Bachtiar, F. A., & Salsabila, R. (2021). Implementasi Topsis untuk Menentukan Rekomendadi Makanan Anak Usia 1-3 Tahun pada Sistem Monitoring Tumbuh Kembang Anak. Jurnal Teknologi Informasi dan Ilmu Komputer, 8(4), Article 4. https://doi.org/10.25126/jtiik.2021844370. [PDF]
  19. Rochmawanti, O., Utaminingrum, F., & Bachtiar, F. A. (2021). Analisis Performa Pre-Trained Model Convolutional Neural Network dalam Mendeteksi Penyakit Tuberkulosis. Jurnal Teknologi Informasi dan Ilmu Komputer, 8(4), Article 4. https://doi.org/10.25126/jtiik.2021844441. [PDF]
  20. Adimanggala, D., Bachtiar, F. A., & Eko, S. (2021). Evaluasi Topik Tersembunyi Berdasarkan Aspect Extraction menggunakan Pengembangan Latent Dirichlet Allocation | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi). Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 5(3). https://doi.org/10.29207/resti.v5i3.3075. [PDF]
  21. Sulandri, S., Basuki, A., & Bachtiar, F. A. (2021). Metode Deteksi Intrusi Menggunakan Algoritme Extreme Learning Machine dengan Correlation-based Feature Selection. Jurnal Teknologi Informasi dan Ilmu Komputer, 8(1), Article 1. https://doi.org/10.25126/jtiik.0813358. [PDF]
  22. Pradana, F., Bachtiar, F. A., & Zulfikarrahman, M. (2021). Implementasi Support Vector Machine untuk Deteksi Stres pada Pengguna E-Learning. Jurnal Teknologi Informasi dan Ilmu Komputer, 8(4), Article 4. https://doi.org/10.25126/jtiik.2021844371 [PDF]
  23. Fajar Pradana, Fitra A. Bachtiar, & Retno Indah Rokhmawati. (2021). Penerapan Antarmuka Adaptif Berbasis Perilaku Pemain pada E-Learning Bidang Pemrograman. Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 10(4), 311–318. https://doi.org/10.22146/jnteti.v10i4.2165 [PDF]
  24. Fitra A. Bachtiar, Fajar Pradana, & Issa Arwani. (2021). Klasifikasi Aktivitas Manusia Menggunakan Extreme Learning Machine dan Seleksi Fitur Information Gain. Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 10(3), 189–195. https://doi.org/10.22146/jnteti.v10i3.1451. [PDF]
  25. Anita Rizky Agustina, Fajar Pradana, & Fitra Abdurrachman Bachtiar. (2021). Pengembangan Aplikasi Pembelajaran dengan Menerapkan Model Pembelajaran Teams-Games-Tournament (TGT). Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 10(2), 111–117. https://doi.org/10.22146/jnteti.v10i2.1310. [PDF]
  26. Yudistira, N., Putra, F. A. I. A., Firdaus, J. A., Achmad, N., & Bachtiar, F. A. (2021). Pengaruh Resolusi Video Terhadap Akurasi Menggunakan Algoritma Yolov4 Dalam Deteksi Citra Objek Pada Cctv Kota Malang. RINarxiv. https://rinarxiv.lipi.go.id/lipi/preprint/view/166. [PDF]
  27. Sutawijaya, B., Basuki, A., & Bachtiar, F. A. (2020). Analisis Kinerja Algoritme TCP Congestion Control Berdasarkan Single dan Multiple Flow pada Multi-Path Routing. Jurnal Teknologi Informasi dan Ilmu Komputer, 7(5), Article 5. https://doi.org/10.25126/jtiik.2020752402. [PDF]
  28. Priyambadha, B., Pradana, F., & Bachtiar, F. A. (2020). Penggalian Perilaku Pemain dalam Penentuan Tipe Permainan pada E-Learning Pemrograman Berbasis Gamification. Jurnal Teknologi Informasi dan Ilmu Komputer, 7(4), Article 4. https://doi.org/10.25126/jtiik.2020701295. [PDF]
  29. Abidatul Izzah, A. Nugroho, B., F. Mahmudy, W., & A. Bachtiar, F. (2020). Optimasi Asymmetric City Tour di Kota Kediri Menggunakan Ant Colony System. Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 9(1), 1–7. https://doi.org/10.22146/jnteti.v9i1.112. [PDF]
  30. Abidatul Izzah, A. Nugroho, B., F. Mahmudy, W., & A. Bachtiar, F. (2020). Optimasi Asymmetric City Tour di Kota Kediri Menggunakan Ant Colony System. Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 9(1), 1–7. https://doi.org/10.22146/jnteti.v9i1.112. [PDF]
  31. Pradana, F., Bachtiar, F. A., & Ikhsan, M. D. A. (2020). Implementasi Weighted Product untuk memberikan Rekomendasi Prospek Pelanggan bagi Sales Marketing Berdasarkan Web Analytics. Jurnal Teknologi Informasi dan Ilmu Komputer, 7(2), Article 2. https://doi.org/10.25126/jtiik.2020702586. [PDF]
  32. Pradana, F., Bachtiar, F. A., & Priyambadha, B. (2019). Penilaian Penerimaan Teknologi E-Learning Pemrograman berbasis Gamification dengan Metode Technology Acceptance Model (TAM). Jurnal Teknologi Informasi dan Ilmu Komputer, 6(2), Article 2. https://doi.org/10.25126/jtiik.2019621288. [PDF]
  33. Bachtiar, F. A., Syahputra, I. K., & Wicaksono, S. A. (2019). Perbandingan Algoritme Machine Learning untuk Memprediksi Pengambil Matakuliah. Jurnal Teknologi Informasi dan Ilmu Komputer, 6(5), Article 5. https://doi.org/10.25126/jtiik.2019651755. [PDF]
  34. Akhrian Syahidi, A., Biabdillah, F., & Bachtiar, F. (2019). Perancangan dan Implementasi Fuzzy Inference System (FIS) Metode Tsukamoto pada Penentuan Penghuni Asrama. Jurnal Teknologi Informasi dan Ilmu Komputer, 6, 55–62. https://doi.org/10.25126/jtiik.201961228. [PDF]
  35. Nur, I. T. A., Setiawan, N. Y., & Bachtiar, F. A. (2019). Perbandingan Performa Metode Klasifikasi SVM, Neural Network, dan Naive Bayes untuk Mendeteksi Kualitas Pengajuan Kredit di Koperasi Simpan Pinjam. Jurnal Teknologi Informasi dan Ilmu Komputer, 6(4), Article 4. https://doi.org/10.25126/jtiik.2019641352. [PDF]
  36. Bachtiar, F., & Giriwati, N. S. S. (2019). Kualitas Daya Tarik Dusun Sumberwangi Dalam Pengembangan Ub Forest Sebagai Destinasi Ekowisata. Jurnal Mahasiswa Departemen Arsitektur, 7(2), Article 2. [PDF]
  37. Pradana, F., Bachtiar, F. A., & Priyambadha, B. (2018). Pengaruh Elemen Gamification Terhadap Hasil Belajar Siswa Pada E-Learning Pemrograman Java. SEMNASTEKNOMEDIA ONLINE, 6(1), Article 1. [PDF]
  38. Bachtiar, F., & Giriwati, N. S. S. (2019). KUALITAS DAYA TARIK DUSUN SUMBERWANGI DALAM PENGEMBANGAN UB FOREST SEBAGAI DESTINASI EKOWISATA. Jurnal Mahasiswa Departemen Arsitektur, 7(2), Article 2. http://arsitektur.studentjournal.ub.ac.id/index.php/jma/article/view/892 [PDF]

Conference Proceedings:

English

  1. Muhaimin, K. H., & Bachtiar, F. A. (2023). Classification of Electroencephalogram Data on Massive Open Online Course Studying Process Using Gated Recurrent Unit. Proceedings of the 7th International Conference on Sustainable Information Engineering and Technology, 222–227. https://doi.org/10.1145/3568231.3568267. [Link]
  2. Bachtiar, F. A., Fauzulhaq, A. D., Manullang, M. T. R., Pontoh, F. R., Nugroho, K. S., & Yudistira, N. (2023). A Generative-Based Chatbot for Daily Conversation: A Preliminary Study. Proceedings of the 7th International Conference on Sustainable Information Engineering and Technology, 8–12. https://doi.org/10.1145/3568231.3568234. [Link]
  3. Jaya, K. I., & Bachtiar, F. A. (2023). Classification Driver Emotion with Deep Learning Method for Driver Safety Detection. 2023 Eighth International Conference on Informatics and Computing (ICIC), 1–6. https://doi.org/10.1109/ICIC60109.2023.10382006. [Link]
  4. Sugihdharma, J. A., & Bachtiar, F. A. (2023). Engagement Classification in E-Learning Environments Through Eye Features Using Scaled Dot-Product Attention Convolutional Neural Network. Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology, 340–347. https://doi.org/10.1145/3626641.3626938. [Link]
  5. Bachtiar, F. A., Arwani, I., Prasetyo, R. A. B., Pangestu, G., Soetedjo, R. S., & Mahesa, A. R. M. (2023). Distraction Detection in Driving Using Pose Extraction and Machine Learning Techniques. 2023 IEEE 7th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE), 279–284. https://doi.org/10.1109/ICITISEE58992.2023.10404467. [Link]
  6. Fauzulhaq, A. D., & Bachtiar, F. A. (2023). Mutual Information for Learning Context Representation on RNN-Attention Based Models in Open Domain Generative Chatbot. Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology, 112–118. https://doi.org/10.1145/3626641.3626926. [Link]
  7. Bachtiar, F. A., Arwani, I., Prasetyo, R. A. B., Pangestu, G., Soetedjo, R. S., & Mahesa, A. R. M. (2023). Distraction Detection in Driving Using Pose Extraction and Machine Learning Techniques. 2023 IEEE 7th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE), 279–284. https://doi.org/10.1109/ICITISEE58992.2023.10404467. [Link]
  8. Fauzulhaq, A. D., & Bachtiar, F. A. (2023). Mutual Information for Learning Context Representation on RNN-Attention Based Models in Open Domain Generative Chatbot. Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology, 112–118. https://doi.org/10.1145/3626641.3626926. [Link]
  9. Bachtiar, F. A., Arwani, I., Prasetyo, R. A. B., Pangestu, G., Soetedjo, R. S., & Mahesa, A. R. M. (2023). Distraction Detection in Driving Using Pose Extraction and Machine Learning Techniques. 2023 IEEE 7th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE), 279–284. https://doi.org/10.1109/ICITISEE58992.2023.10404467. [Link]
  10. Fauzulhaq, A. D., & Bachtiar, F. A. (2023). Mutual Information for Learning Context Representation on RNN-Attention Based Models in Open Domain Generative Chatbot. Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology, 112–118. https://doi.org/10.1145/3626641.3626926. [Link]
  11. Sari, C. A., Bachtiar, F. A., Muflikhah, L., & Widayati, A. (2023). Facial Palsy Detection Through Changes in Facial Muscle Functionality Using CNN Algorithm. 2023 6th International Conference of Computer and Informatics Engineering (IC2IE), 297–302. https://doi.org/10.1109/IC2IE60547.2023.10331016. [Link]
  12. Reihan, M., Pradana, F., & Bachtiar, F. A. (2023). E-Course Information System Development for Web-Based Bisindo Learning. Proceedings of the 7th International Conference on Sustainable Information Engineering and Technology, 253–257. https://doi.org/10.1145/3568231.3568272. [Link]
  13. Rismawan, F. A., & Bachtiar, F. A. (2023). Classification of Mobile Usage Car Driving Activities Using Convolutional Neural Network. Proceedings of the 7th International Conference on Sustainable Information Engineering and Technology, 28–33. https://doi.org/10.1145/3568231.3568237. [Link]
  14. Bachtiar, F. A., Rismawan, F. A., Fuadi, E. H., Yudistira, N., & Muflikhah, L. (2023). Classification Comparison of Activity Distraction Detection in Car Driving. Proceedings of the 7th International Conference on Sustainable Information Engineering and Technology, 22–27. https://doi.org/10.1145/3568231.3568236. [Link]
  15. Soetedjo, R. S., & Bachtiar, F. A. (2023). Kansei Engineering Evaluation on Game Design Using Customer Reviews. Proceedings of the 7th International Conference on Sustainable Information Engineering and Technology, 338–343. https://doi.org/10.1145/3568231.3568289. [Link]
  16. Abdullah, F., Dewantoro, M. F., Thawonmas, R., & Bachtiar, F. A. (2022). Science Birds Gameplay With a Smile Interface to Promote the Spectator’s Emotion. 2022 IEEE Conference on Games (CoG), 584–585. https://doi.org/10.1109/CoG51982.2022.9893545. [Link]
  17. Farahisya, N. A., & Bachtiar, F. A. (2022). Spam Email Detection with Affect Intensities using Recurrent Neural Network Algorithm. 2022 2nd International Conference on Information Technology and Education (ICIT&E), 206–211. https://doi.org/10.1109/ICITE54466.2022.9759865. [Link]
  18. Nurrahma Rosanti Paidja, A., & Bachtiar, F. A. (2022). Engagement Emotion Classification through Facial Landmark Using Convolutional Neural Network. 2022 2nd International Conference on Information Technology and Education (ICIT&E), 234–239. https://doi.org/10.1109/ICITE54466.2022.9759546. [Link]
  19. Essayem, W., Bachtiar, F. A., & Priharsari, D. (2022). Customer Clustering Based on RFM Features Using K-Means Algorithm. 2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), 23–27. https://doi.org/10.1109/CyberneticsCom55287.2022.9865572
  20. Nugroho, K. S., & Bachtiar, F. A. (2021). Text-Based Emotion Recognition in Indonesian Tweet using BERT. 2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 570–574. https://doi.org/10.1109/ISRITI54043.2021.9702838
  21. Maulidah, A., & Bachtiar, F. A. (2021). Penerapan Metode Association Rule Mining untuk Asosiasi Ulasan Terhadap Aspek Tempat Wisata Jawa Timur Park 3. Jurnal Teknologi Informasi dan Ilmu Komputer, 8(5), Article 5. https://doi.org/10.25126/jtiik.2021854417
  22. Pangestu, G., Mar’i, F., Bachtiar, F. A., & Maulana, F. I. (2021). The Heron Formula Approach for Head Movements Detection for Student Focus Detection during Pandemic Online Class. 2021 International Conference on Information Management and Technology (ICIMTech), 1, 678–683. https://doi.org/10.1109/ICIMTech53080.2021.9535065.[Link]
  23. Bachtiar, F. A., Pangestu, G., Pradana, F., Arwani, I., & Syauqy, D. (2021). Eyeball Movement Detection Using Sector Division Approach and Extreme Learning Machine. 2021 International Seminar on Intelligent Technology and Its Applications (ISITIA), 184–190. https://doi.org/10.1109/ISITIA52817.2021.9502211. [Link]
  24. Perangin-Angin, D. J., & Bachtiar, F. A. (2021). Classification of Stress in Office Work Activities Using Extreme Learning Machine Algorithm and One-way ANOVA F-Test Feature Selection. 2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 503–508. https://doi.org/10.1109/ISRITI54043.2021.9702802
  25. Pradini, R. S., Previana, C. N., & Bachtiar, F. A. (2021). Fuzzy tsukamoto membership function optimization using PSO to predict diabetes mellitus risk level. Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology, 101–106. https://doi.org/10.1145/3427423.3427451
  26. Hidayat, A. S., Ramdani, F., & Bachtiar, F. (2021). Detection and Classification of Embung Land Cover using Support Vector Machine. Proceedings of the 6th International Conference on Sustainable Information Engineering and Technology, 179–183. https://doi.org/10.1145/3479645.3479673. [Link]
  27. Bachtiar, F. A., Arifien, Z., Putra, A. R., & Akbar, P. I. (2021). Feature Selection with Particle Swarm Optimization for Human Activity Recognition Using Learning Vector Quantization. Proceedings of the 6th International Conference on Sustainable Information Engineering and Technology, 132–138.
  28. Nugroho, K. S., Sukmadewa, A. Y., Wuswilahaken DW, H., Bachtiar, F. A., & Yudistira, N. (2021). BERT Fine-Tuning for Sentiment Analysis on Indonesian Mobile Apps Reviews. Proceedings of the 6th International Conference on Sustainable Information Engineering and Technology, 258–264. https://doi.org/10.1145/3479645.3479679
  29. Istanto, R. S. H., Mahmudy, W. F., & Bachtiar, F. A. (2021). Detection of online review spam: A literature review. Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology, 57–63. https://doi.org/10.1145/3427423.3427434
  30. Abdullah, F., Paliyawan, P., Thawonmas, R., & Bachtiar, F. A. (2020). Generating Angry Birds-Like Levels With Domino Effects Using Constrained Novelty Search. 2020 IEEE Conference on Games (CoG), 698–701. https://doi.org/10.1109/CoG47356.2020.9231547. [Link]
  31. Istanto, R. S. H., Listikowati, A. D., Wibowo, B. P., & Bachtiar, F. A. (2020). Initial Centroid Optimization In K-Means Algorithm For Educational Data Mining. IICST, 51–56. [PDF]
  32. Bachtiar, F. A., Parasati, W., & Setiawan, N. Y. (2020). Aspect Based Sentiment Analysis For Customer Reviews On Bakso President Malang. IICST, 12–19. [PDF]
  33. ***Bachtiar, F. A., Paulina, W., & Rusydi, A. N. (2020). Text Mining For Aspect Based Sentiment Analysis On Customer Review: A Case Study In The Hotel Industry. IICST, 105–112.
  34. Paulina, W., Bachtiar, F. A., & Rusydi, A. N. (2020). Analisis Sentimen Berbasis Aspek Ulasan Pelanggan Terhadap Kertanegara Premium Guest House Menggunakan Support Vector Machine. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 4(4), Article 4.
  35. Dewantoro, M. F., Abdullah, F., Paliyawan, P., Thawonmas, R., & Bachtiar, F. A. (2020). Enhancement of Angry Birds Level Generation from Sketches Using Cycle-Consistent Adversarial Networks. 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE), 564–565. https://doi.org/10.1109/GCCE50665.2020.9291893. [Link]
  36. Pambudi, I., Bachtiar, F. A., & Pradana, F. (2019). Development of English Learning System Using Gamification Approach. 2019 IEEE Conference on E-Learning, e-Management & e- Services (IC3e), 1–6. https://doi.org/10.1109/IC3e47558.2019.8971781. [Link]
  37. Imantika, D., Bachtiar, F. A., & Rokhmawati, R. I. (2019). Penerapan Metode K-Means Clustering dan Analytical Hierarchy Process (AHP) untuk Pengelompokan Kinerja Guru dan Karyawan pada SMA Brawijaya Smart School. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 3(8), Article 8.
  38. Bachtiar, F. A., Pradana, F., & Yudiari, R. D. (2019). Employee Recruitment Recommendation Using Profile Matching and Naïve Bayes. 2019 International Conference on Sustainable Information Engineering and Technology (SIET), 94–99. https://doi.org/10.1109/SIET48054.2019.8985988
  39. Abdullah, F., Paliyawan, P., Thawonmas, R., Harada, T., & Bachtiar, F. A. (2019). An Angry Birds Level Generator with Rube Goldberg Machine Mechanisms. 2019 IEEE Conference on Games (CoG), 1–8. https://doi.org/10.1109/CIG.2019.8847996
  40. Cahya, R. A., & Bachtiar, F. A. (2019). Weakening Feature Independence of Naïve Bayes Using Feature Weighting and Selection on Imbalanced Customer Review Data. 2019 5th International Conference on Science in Information Technology (ICSITech), 182–187. https://doi.org/10.1109/ICSITech46713.2019.8987566
  41. Pangestu, G., & Bachtiar, F. A. (2019). Eyeball Movement Detection Using Sector Line Distance Approach and Learning Vector Quantization. 2019 5th International Conference on Science in Information Technology (ICSITech), 199–204. https://doi.org/10.1109/ICSITech46713.2019.8987443
  42. Bawono, A. H., & Bachtiar, F. A. (2019). Outlier Detection with Supervised Learning Method. 2019 International Conference on Sustainable Information Engineering and Technology (SIET), 306–309. https://doi.org/10.1109/SIET48054.2019.8986101. [Link]
  43. Izzah, A., Nugroho, B. A., Mahmudy, W. F., Bachtiar, F. A., Cinderatama, T. A., & Sari, Y. A. (2019). Convergence Analysis in Swarm Intelligence for City Tour Optimization. 2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 109–113. https://doi.org/10.1109/ISRITI48646.2019.9034656. [Link]
  44. Abdullah, F., Yang, C., Paliyawan, P., Thawonmas, R., Harada, T., & Bachtiar, F. A. (n.d.). Effects of Angry Birds-like Live Streaming on Working Memory. [PDF]
  45. Arbawa, Y. K., Pisefty, R. A. D., & Bachtiar, F. A. (2019). Wound Classifications Of Breast Tissues with Electrical Impedance Spectroscopy (EIS): Comparison of LVQ and GA-LVQ. 2019 5th International Conference on Science in Information Technology (ICSITech), 229–234. https://doi.org/10.1109/ICSITech46713.2019.8987447. [Link]
  46. https://doi.org/10.1145/3479645.3479693. [Link]
  47. Sukmadiningtyas, & Bachtiar, F. A. (2019). Risk Identification For Excise Tape Ordering Service With Fuzzy AHP Approach. 2019 International Conference on Sustainable Information Engineering and Technology (SIET), 60–65. https://doi.org/10.1109/SIET48054.2019.8986080. [Link]
  48. Huda, C., Bachtiar, F. A., & Supianto, A. A. (2019). Reporting Sleepy Driver into Channel Telegram via Telegram Bot. 2019 International Conference on Sustainable Information Engineering and Technology (SIET), 251–256. https://doi.org/10.1109/SIET48054.2019.8986000. [Link]
  49. Anshori, M., Mar’i, F., Alauddin, M. W., & Abdurrahman Bachtiar, F. (2018). Prediction Result of Dota 2 Games Using Improved SVM Classifier Based on Particle Swarm Optimization. 2018 International Conference on Sustainable Information Engineering and Technology (SIET), 121–126. https://doi.org/10.1109/SIET.2018.8693204
  50. Fatyanosa, T. N., Bachtiar, F. A., & Data, M. (2018). Feature Selection using Variable Length Chromosome Genetic Algorithm for Sentiment Analysis. 2018 International Conference on Sustainable Information Engineering and Technology (SIET), 27–32. https://doi.org/10.1109/SIET.2018.8693190
  51. Bachtiar, F. A. (2018). Customer Segmentation Using Two-Step Mining Method Based on RFM Model. 2018 International Conference on Sustainable Information Engineering and Technology (SIET), 10–15. https://doi.org/10.1109/SIET.2018.8693173
  52. Bachtiar, F. A., Pradana, F., Priyambadha, B., & Bastari, D. I. (2018). CoMa: Development of Gamification-based E-learning. 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE), 1–6. https://doi.org/10.1109/ICITEED.2018.8534875. [Link]
  53. Sarosa, S. J. A., Utaminingrum, F., & Bachtiar, F. A. (2018). Mammogram Breast Cancer Classification Using Gray-Level Co-Occurrence Matrix and Support Vector Machine. 2018 International Conference on Sustainable Information Engineering and Technology (SIET), 54–59. https://doi.org/10.1109/SIET.2018.8693146. [Link]
  54. Fatyanosa, T. N., & Bachtiar, F. A. (2017). Classification method comparison on Indonesian social media sentiment analysis. 2017 International Conference on Sustainable Information Engineering and Technology (SIET), 310–315. https://doi.org/10.1109/SIET.2017.8304154
  55. Rahman, N. O. A., Saputra, M. C., Wicaksono, F. K., Bachtiar, F. A., & Ramdani, F. (2017). Voronoi diagram: Split nodes analysis of road networks of Malang great area. 2017 International Symposium on Geoinformatics (ISyG), 42–47. https://doi.org/10.1109/ISYG.2017.8280675. [Link]
  56. Alfarisy, G. A. F., & Bachtiar, F. A. (2017). Focused web crawler for Indonesian recipes. 2017 International Conference on Sustainable Information Engineering and Technology (SIET), 196–202. https://doi.org/10.1109/SIET.2017.8304134
  57. Sihananto, A. N., & Bachtiar, F. A. (2017). Gold price movement forecasting using hybrid ES-FIS. 2017 International Conference on Sustainable Information Engineering and Technology (SIET), 321–326. https://doi.org/10.1109/SIET.2017.8304156
  58. Bachtiar, F. A., Sulistyo, G. H., Cooper, E. W., & Katsuari, K. (2017). Affect, Personality, and Learning Styles in Online Reading Comprehension. Proceedings of the 5th International Conference on Information and Education Technology, 78–83. https://doi.org/10.1145/3029387.3029422. [PDF]
  59. Prasetya, R. P., & Bachtiar, F. A. (2017). Indonesian food items labeling for tourism information using Convolution Neural Network. 2017 International Conference on Sustainable Information Engineering and Technology (SIET), 327–331. https://doi.org/10.1109/SIET.2017.8304158
  60. Bachtiar, F. A., Sulistyo, G. H., Cooper, E. W., & Kamei, K. (2017). ANFIS application to infer student performance in English learning using affective factors. 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS), 1–5. https://doi.org/10.1109/IFSA-SCIS.2017.8023278. [Link]
  61. Bachtiar, F. A., Sulistyo, G. H., Cooper, E. W., & Kamei, K. (2015). Fuzzy Inference System Based on a Model of Affective-Cognitive Criteria. 2015 IIAI 4th International Congress on Advanced Applied Informatics, 343–348. https://doi.org/10.1109/IIAI-AAI.2015.283. [Link]
  62. Bachtiar, F. A., Rachmadi, A., & Pradana, F. (2014). Acceptance in the deployment of blended learning as a learning resource in information technology and computer science program, Brawijaya university. 2014 Asia-Pacific Conference on Computer Aided System Engineering (APCASE), 131–135. https://doi.org/10.1109/APCASE.2014.6924486. [Link]
  63. Bachtiar, F., & Eric Cooper, K. K. (2011). An Estimation Model of English Abilities of Students Based on Their Affective Factors in Learning by Neural Network. World Congress of International Fuzzy Systems Association 2011 and Asia Fuzzy Systems Society International Conference 2011. [PDF]
  64. Bachtiar, F. A., Eric, C. W., & Kamei, K. (2011). Student grouping by neural network based on affective factors in learning English. Proceeding of the International Conference on E-Education, Entertainment and e-Management, 226–229. https://doi.org/10.1109/ICeEEM.2011.6137792 [Link]

Indonesia

Books

  • Komputasi Afektif: Kemampuan Komputer Untuk Mengenali Emosi Manusia. 2021. Inovasi Teknologi Dalam Digitalisasi Industri. Book Chapter Seri 1. Fakultas Teknik, Universitas Widyagama. [pdf]

Awards

  1. Best paper awards – ICOCO [Link]
    Darfiansa, L. S., & Bachtiar, F. A. (2023). Comparative Analysis of Term Weighting Methods for Question Classification in Bloom Taxonomy Using Machine Learning Approach. 2023 IEEE International Conference on Computing (ICOCO), 259–264. https://doi.org/10.1109/ICOCO59262.2023.10397821
  2. Best paper awards – Cyberneticscom [Link]
    Essayem, W., Bachtiar, F. A., & Priharsari, D. (2022). Customer Clustering Based on RFM Features Using K-Means Algorithm. 2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), 23–27. https://doi.org/10.1109/CyberneticsCom55287.2022.9865572

Intellectual Property Right

  • Property 1
  • Property 2
  • Property 3