mai-11

DAFTAR PUSTAKA

Adam, J., 2011. Mathematics in Nature: Modeling Patterns in the Natural World. Princeton University Press.

Ahmad, Abdan Matin. 2021. Konsep-Konsep Dasar Matematika dalam Ekonomi. MEGA: Jurnal Pendidikan Matematika, 2(1).

Ali, S. et al. (2023) ‘Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence’, Information Fusion, 99(March), p. 101805. Available at: https://doi.org/10.1016/j.inffus.2023.101805.

Allgöwer, F. & Zheng, A. (eds.), 2012. Nonlinear Model Predictive Control. Vol. 26. Birkhäuser.

Amatriain, X., 2013. Big & personal: data and models behind Netflix recommendations. Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications. DOI: 10.1145/2501221.2501222.

Andi, T., Andriyani, W. and Putranto, B.P.D. (2023) ‘Deep Learning Architecture for Stock Price Prediction’, Journal of Intelligent Software Systems, 7(2). Available at: https://doi.org/10.3390/drones7020078.

Andriyani, W. et al. (2024) Matematika Lanjut. Edited by Y.S. Nugraha and Q. Nurlaila. Available at: https://toharmedia.co.id/product/matematika-lanjut/.

Anshori, M., Haris, M. S. and Teja Kusuma, W. (2023) ‘Penerapan Backpropagation Neural Network (BPNN) Untuk Prediksi Kecanduan Smartphone Pada Remaja’, Cices, 9(2), pp. 192–202. doi: 10.33050/cices.v9i2.2701.

Anton, H., 1997. Aljabar Linear Elementer (terjemahan). Penerbit Erlangga, Jakarta.

Anton, H., Rorres, C., 2014. Elementary Linear Algebra: Application Version, 11th Edition. John Willey and Sons, New York.

Anwarudin, A. et al. (2022) ‘The Prediction on the Students’ Graduation Timeliness Using Naive Bayes Classification and K-Nearest Neighbor’, Journal of Intelligent Software Systems, 1(1), p. 75. Available at: https://doi.org/10.26798/jiss.v1i1.597.

Ardanta, M. A., Fauzi, A., Patimah, P., Khadijah, F., & Todo, Y. (2024). Optimization of Business Decision Accuracy through the Application of Mathematical Economics. 2(4), 866–885.

Argisitawan, A. et al. (2022) ‘Determining the Target of Independent Graduation for Beneficiary Families of the Hopeful Family Program’, Journal of Intelligent Software Systems, 1(1), p. 55. Available at: https://doi.org/10.26798/jiss.v1i1.601.

Arora, S. and Barak, B., 2009. Computational Complexity: A Modern Approach. Cambridge: Cambridge University Press. ISBN-13 978-0-521-42426-4 (print), ISBN-13 978-0-511-53075-3.

Barroga, Edward dan Glafera Janet Metanguihan. 2022. A Practical Guide to Writing Quantitative and Qualitative Research Question and Hypotheses in Scholarly Articles. J. Korean Med. Sci. 37(16).

Berger, J. O. (2013). Statistical decision theory and Bayesian analysis. Springer Science & Business Media.

Berman, G., Chubb, J. and Williams, K. (2023) ‘The Use of AI in Science, Technology, Engineering, and Maths - Key themes identified in a breadth-focused literature review’, (March).

Boateng, E.Y., Otoo, J. and Abaye, D.A. (2020) ‘Basic tenets of classification algorithms K-nearest-neighbor, support vector machine, random forest and neural network: A review’, Journal of Data Analysis and Information Processing, 8(4), pp. 341-357. DOI: 10.4236/jdaip.2020.84020.

Braga-Neto, U. M., & Dougherty, E. R. (2020). Machine Learning Requires Probability and Statistics [Perspectives]. IEEE Signal Processing Magazine, 37(4), 118–122. https://doi.org/10.1109/MSP.2020.2985385.

Brink, H., Richards, J. & Fetherolf, M., 2016. Real-World Machine Learning. Simon and Schuster.

Broekhuizen, T. et al. (2023) ‘AI for managing open innovation: Opportunities, challenges, and a research agenda’, Journal of Business Research, 167(July), p. 114196. Available at: https://doi.org/10.1016/j.jbusres.2023.114196.

Bulut, A.S. and Kuzu, O. (2023) ‘Mathematical Reasoning Skills as a Predictive of Number Sense’, International Journal of Progressive Education, 19(5), pp. 172–185. Available at: https://doi.org/10.29329/ijpe.2023.603.11.

Cahyono, B. (2013). Penggunaan Software Matrix Laboratory (Matlab) dalam Pembelajaran Aljabar Linear. Jurnal PHENOMENON, 1(1), 45–60.

Čajić, E. (2024) ‘Application of mathematics in artificial intelligence’, in.

Carlo, C. M. (2004). Markov chain monte carlo and gibbs sampling. Lecture notes for EEB, 581(540), 3.

Chatterjee, R. (2020) ‘Fundamental Concepts of Artificial Intelligence and Its Applications’, Journal of Mathematical Problems, Equations and Statistics, 1(2), pp. 13–24. Available at: www.mathematicaljournal.com.

Che, C. et al. (2024) ‘Intelligent robotic control system based on computer vision technology’, Applied and Computational Engineering, 64(1), pp. 142–147. Available at: https://doi.org/10.54254/2755-2721/64/20241373.

Dangeti, P. (2017). Statistics for machine learning. Packt Publishing Ltd.

Degu, Getu and Tegbar Yigzaw. 2006. Lecture Notes: Research Methodoly. University of Gondar.

Deolika, A., Kusrini and Luthfi, E. T. (2019) ‘Analisis Pembobotan Kata Pada Klasifikasi Text Mining’, Jurnal Teknologi Informasi, 3(2), pp. 179–184. doi: 10.36294/jurti.v3i2.1077.

Divya, R. (2024). Linear Algebraic Methods In Neural Networks. International Journal of Engineering Research & Technology (IJERT), 12(01).

Du, D.-Z. & Ko, K.-I., 2014. Theory of Computational Complexity. 2nd ed. Hoboken, NJ: John Wiley & Sons, Inc. ISBN 978-1-118-30608-6.

Eriana, E.S. and Zein, D.A. (2023) ‘Artificial Intelligence’, Angewandte Chemie International Edition, 6(11), 951–952., p. 26.

Ernest, P. 1991. The philosophy of mathematics education. London: The Falmer Press.

Fatimah, D.D.S. and Rahmawati, E. (2021) ‘Penggunaan Metode Decision Tree dalam Rancang Bangun Sistem Prediksi untuk Kelulusan Mahasiswa’, Jurnal Algoritma, 18(2), pp. 553-561.

Fauzan, A., & Mahara, D. O. (2020). Implementasi Software R pada Mata Kuliah Kalkulus I untuk Menunjang Kemampuan Pemrograman Mahasiswa. Refleksi Pembelajaran Inovatif, 2(1), 279–286.

Fauzi, A. et al. (2022) ‘Price Intelligence Using K-Means Clustering and Linear Regression, Case Study of Store Dk Nutritionindo at Tokopedia’, Journal of Intelligent Software Systems, 1(1), p. 27. Available at: https://doi.org/10.26798/jiss.v1i1.602.

Ferreira, D. (2022) ‘Mathematical Language Processing: Deep Learning Representations and Inference over Mathematical Text’.

Friedrich, S. et al. (2022) ‘Is there a role for statistics in artificial intelligence?’, Advances in Data Analysis and Classification, 16(4), pp. 823–846. Available at: https://doi.org/10.1007/s11634-021-00455-6.

Ghosh, A. (2022) ‘Prediction of Diabetes Using Random Forest And xgboost Classifiers’, International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR), 12(1), pp. 19–28.

Hidayat, R. and Astuti, T. (2020) ‘Diagnosis Preeklamsia pada Ibu Hamil Berdasarkan Algoritme K- Nearest Neighbour’, 14(2).

https://byjus.com/maths/population-and-sample/

https://www.verywellmind.com/what-is-a-hypothesis-2795239

Hu, L.Y. et al. (2016) ‘The distance function effect on k-nearest neighbor classification for medical datasets’, SpringerPlus, 5, pp. 1-9.

Ilias, S. et al. (2016) ‘Feature Extraction of Autism Gait Data Using Principal Component Analysis and Linear Discriminant Analysis’, 2016 IEEE Industrial Electronics and Applications Conference (IEACon), pp. 275–279. doi: 10.1109/IEACON.2016.8067391.

Imrona, M., 2013. Aljabar Linear Dasar, Edisi Kedua. Penerbit Erlangga, Jakarta.

Iriyanta, K., Putranto, B.P.D. and Andriyani, W. (2023) ‘Iot Based Soil Moisture Monitoring and Soil Moisture Prediction Using Linear Regression (Case Study of Vinca Plants)’, Journal of Intelligent Software Systems, 2(1), p. 1. Available at: https://doi.org/10.26798/jiss.v2i1.929.

Irmayanti, Henra, K., Asnita, A. U., Munaji, Riaddin, D., Fitriani, Junaedi, Resi, F. B., Setiawan, J., & Dahlan, T. (2021). Teori dan Aplikasi Kalkulus Dasar.

Jia, F., Mingyang, L. and Yueen, L. (2023) ‘Investigating the Fundamental Mathematical Logic Relationship and Driving Mode in Artificial Intelligence’, pp. 359–364. Available at: https://doi.org/10.32474/CTCSA.2023.03.000155.

Jinwei Han and Michaline Kamber (2006) Data Mining, south asia edition : Concept and Technology. Morgan Kaufmann.

Kartono, 2003. Aplikasi Matematika Dalam Perencanaan dan Pengendalian di Bidang Industri. Jurnal Matematika dan Komputer. 6(1), pp. 49-58.

Kufel, J. et al. (2023) ‘What Is Machine Learning, Artificial Neural Networks and Deep Learning?—Examples of Practical Applications in Medicine’, Diagnostics, 13(15). Available at: https://doi.org/10.3390/diagnostics13152582.

Kuhn, M. & Johnson, K., 2016. Applied Predictive Modeling. Springer. DOI: 10.1007/978-1-4614-6849-3.

Kumar Yadav, D. (2021) ‘Three Magical Words of Mathematics’, 9(8), pp. 265–274. Available at: www.ijcrt.org.

Kutyniok, G. (2023) ‘The mathematics of artificial intelligence’, pp. 5118–5139. Available at: https://doi.org/10.4171/icm2022/141.

Lámer, J., Cymbalak, D. and Jakab, F. (2013) ‘Computer vision based object recognition principles in education’, ICETA 2013 - 11th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings, (October 2013), pp. 253–257. Available at: https://doi.org/10.1109/iceta.2013.6674439.

Lantz, B., 2019. Machine Learning with R: Expert Techniques for Predictive Modeling. Packt Publishing Ltd.

LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. nature, 521(7553), 436-444.

Leon, S. J., 2001. Aljabar Linear dan Aplikasinya (terjemahan). Penerbit Erlangga, Jakarta.

Lishania, I., Goejantoro, R. and Nasution, Y. N. (2019) ‘Perbandingan Klasifikasi Metode Naive Bayes dan Metode Decision Tree Algoritma (J48) pada Pasien Penderita Penyakit Stroke di RSUD Abdul Wahab Sjahranie Samarinda’, Jurnal Eksponensial, 10(2), pp. 135–142. Available at: http://jurnal.fmipa.unmul.ac.id/index.php/eksponensial/article/view/571.

Lonang, S. and Normawati, D. (2022) ‘Klasifikasi Status Stunting Pada Balita Menggunakan K-Nearest Neighbor Dengan Feature Selection Backward Elimination’, Jurnal Media Informatika Budidarma, 6(1), p. 49. Available at: https://doi.org/10.30865/mib.v6i1.3312.

Marsudi & Marjono, 2012. Aljabar Linear. Universitas Brawijaya Press, Malang.

Mathworks. 2024. Diambil dari https://www.mathworks.com/discovery/data-visualization.html pada tanggal 06 Agustus 2024

Mazur, J.E. (2006) ‘Mathematical Models and the Experimental Analysis of Behavior’, Journal of the Experimental Analysis of Behavior, 85(2), pp. 275–291. Available at: https://doi.org/10.1901/jeab.2006.65-05.

Mehdiyev, N., Majlatow, M. and Fettke, P. (2024) ‘Quantifying and explaining machine learning uncertainty in predictive process monitoring: an operations research perspective’, Annals of Operations Research [Preprint]. Available at: https://doi.org/10.1007/s10479-024-05943-4.

Miklós, I., 2019. Computational Complexity of Counting and Sampling. Boca Raton, FL: CRC Press, Taylor & Francis Group. ISBN-13 978-1-138-03557-7 (Paperback), ISBN-13 978-1-138-07083-7.

Miles, J., & Shevlin, M. (2000). Applying regression and correlation: A guide for students and researchers.

Mohana, M. (2024) ‘Natural Language Processing Presented by’, (April). Available at: https://doi.org/10.13140/RG.2.2.13534.04169.

Muhrial, H. et al. (2022) ‘Data Warehouse to Support the Decision Using Vikor Method’, Journal of Intelligent Software Systems, 1(2), p. 153. Available at: https://doi.org/10.26798/jiss.v1i2.767.

Normawati, D. (2014) Kajian Teknik-teknik Data Mining untuk Diagnosis Penyakit Jantung Koroner. Proceedings of Conference on Information Technology and Electrical Engineering. Available at: https://www.researchgate.net/profile/Hanifah_Rahmi_Fajrin/publication/331772158_ISI_Proceedings_CITEE_2014/links/5c8b5e9f92851c1df941bb98/ISI-Proceedings-CITEE-2014.pdf#page=96.

Nst, Zulaini Masruro, Miranda Meylissa Siadari, Intan Julia Sari Saragih, Ika Okta Kirana, Zulia Almaida Siregar. 2023. Penerapan Matematika Algoritma dalam Bidang Komputer. FARABI: Jurnal Matematika dan Pendidikan Matematika. 6(2), pp. 180-191.

Pareek, P., et al., 2022. Predicting music popularity using machine learning algorithm and music metrics available in Spotify. J. Dev. Econ. Manag. Res. Stud. (JDMS), 9, pp.10-19.

Patil, M. B., Jadhav., S., Talekar, S., & Bag, V. V. (2023). The role of Mathematics in Machine Learning. Journal of Data Acquisition and Processing, 38(1), 1062–1073. https://doi.org/10.5281/zenodo.7702430

Patro, S. G. K. and Kumar, K. (no date) ‘Normalization: A Preprocessing Stage’, International Advanced Research Journal in Science, Engineering and Technology. doi: 10.17148/IARJSET.2015.2305.

Peter, M., Aldo, D. A., Cheng, F., & Ong, S. (2019). Mathematics For Machine Learning. https://mml-book.com.

Pratomo, C.H. and Andriyani, W. (2023) ‘Mushroom Image Classification’, Journal of Intelligent Software Systems, 2(1), pp. 24–26.

Putra, R.F. et al. (2024) Algoritma Pembelajaran Mesin (Dasar, Teknik, dan Aplikasi). Available at: www.buku.sonpedia.com.

Raftery, A. E., Gilks, W. R., Richardson, S., & Spiegelhalter, D. (1995). Hypothesis testing and model. Markov chain Monte Carlo in practice, 1, 165-87.

Roh Bintang Jaya, M. et al. (2024) ‘Dynamic Bitrate Adjustment in Web-based Video Streaming Applications Using HTTP Live Streaming (HLS)’, Journal of Intelligent Software Systems, 3(1), p. 13. Available at: https://doi.org/10.26798/jiss.v3i1.1344.

Ross, S. M. (2014). Introduction to probability models. Academic press.

Rubinstein, R. Y., & Kroese, D. P. (2016). Simulation and the Monte Carlo method. John Wiley & Sons.

Sandag, G.A. & Manueke, A.M., 2020. Predictive models for popularity of solo and group singers in Spotify using decision tree. 2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS). DOI:10.1109/icoris50180.2020.9320838.

Sarker, I. H. (2021). Machine learning: Algorithms, real-world applications and research directions. SN computer science, 2(3), 160.

Sarker, I.H. (2021) ‘Machine Learning: Algorithms, Real-World Applications and Research Directions’, SN Computer Science, 2(3), pp. 1–21. Available at: https://doi.org/10.1007/s42979-021-00592-x.

Sarker, I.H., 2021. Data science and analytics: an overview from data-driven smart computing, decision-making and applications perspective. SN Computer Science, 2(5), p.377. DOI: 10.1007/s42979-021-00765-8.

Semadi, I.N.O., Kristomo, D. and Purnomosidi, B. (2023) ‘A Decision Model to Support the Selection of SENKOM Personnel Using the Profile Matching Method with the Capability of Cyber Security’, Journal of Intelligent Software Systems, 2(2), p. 1. Available at: https://doi.org/10.26798/jiss.v2i2.1135.

Seoni, S. et al. (2023) ‘Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)’, Computers in Biology and Medicine, 165(August), p. 107441. Available at: https://doi.org/10.1016/j.compbiomed.2023.107441.

Shapiro, L. and Stockman, G. (2000) Cmputer Vision, The University of Washington and Michigan State University. Available at: http://repositorio.unan.edu.ni/2986/1/5624.pdf%0Ahttp://fiskal.kemenkeu.go.id/ejournal%0Ahttp://dx.doi.org/10.1016/j.cirp.2016.06.001%0Ahttp://dx.doi.org/10.1016/j.powtec.2016.12.055%0Ahttps://doi.org/10.1016/j.ijfatigue.2019.02.006%0Ahttps://doi.org/10.1016/j.ijfatigue.2019.02.006%0Ahttps://doi.org/10.1016/j.ijfatigue.2019.02.006%0Ahttps://doi.org/10.1016/j.ijfatigue.2019.02.006%0Ahttps://doi.org/10.1016/j.ijfatigue.2019.02.006%0Ahttps://doi.org/10.1016/j.ijfatigue.2019.02.006.

Shokrzade, A., Ramezani, M., Akhlaghian Tab, F. and Abdulla Mohammad, M. (2021) ‘A novel extreme learning machine based kNN classification method for dealing with big data’, Expert Systems with Applications, 183, 115293. DOI:10.1016/j.eswa.2021.115293.

Sibarani, M., 2013. Aljabar Linier Dasar, Edisi Kedua. Penerbit RajaGrafindo Persada, Jakarta.

Sihombing, R. E., Rachmatin, D., & Dahlan, J. A. (2019). Program Aplikasi Bahasa R Untuk Pengelompokan Objek Menggunakan Metode K-Medoids Clustering. Jurnal EurekaMatika, 7(1).

Soori, M., Arezoo, B. and Dastres, R. (2023) ‘Artificial intelligence, machine learning and deep learning in advanced robotics, a review’, Cognitive Robotics, 3(March), pp. 54–70. Available at: https://doi.org/10.1016/j.cogr.2023.04.001.

Stigler, S. M. (2002). Statistics on the table: The history of statistical concepts and methods. Harvard University Press.

Sumarlin, T. (2023). Statistik Probabilitas. Penerbit Yayasan Prima Agus Teknik, 1-110.

Suthaharan, S. (2016) ‘Decision Tree Learning’, in Integrated Series in Information Systems, pp. 237–269. DOI:10.1007/978-1-4899-7641-3_10.

Suyanto (2017) Data Mining Untuk Klasifikasi dan Klasterisasi Data. Penerbit Informatika.

Syafitri Hidayatul AA, Yuita Arum S, A. A. (2018) ‘Seleksi Fitur Information Gain untuk Klasifikasi Penyakit Jantung Menggunakan Kombinasi Metode K-Nearest Neighbor dan Naïve Bayes’, Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 2(9), pp. 2546–2554.

Taherdoost, H. and Mitra Madanchian (2023) ‘Decision Making: Models, Processes, Techniques’, Cloud Computing and Data Science, (August), pp. 1–14. Available at: https://doi.org/10.37256/ccds.5120233284.

Toma, M. (2023). Predictive Modeling in Medicine. 590–601.

Triaji, B. et al. (2022) ‘Building a Knowledge Graph on Video Transcript Text Data’, Journal of Intelligent Software Systems, 1(1), p. 1. Available at: https://doi.org/10.26798/jiss.v1i1.585.

Tripathy, A., Agrawal, A. and Rath, S. K. (2015) ‘Classification of Sentimental Reviews Using Machine Learning Techniques’, International Conference on Recent Trends in Computing 2015, 57, pp. 821–829. doi: 10.1016/j.procs.2015.07.523.

Tsang, A., Smith, K. et al. (2009) ‘Decision trees for uncertain data’, IEEE Transactions on Knowledge and Data Engineering, 23(1), pp. 64-78. DOI: 10.1109/TKDE.2009.17.

Tymoczko, T. 1986. New directions in the philosophy of mathematics. Boston: Birkhauser.

Wati, R.A., Irsyad, H. and Rivan, M.E. Al (2020) ‘Klasifikasi Pneumonia Menggunakan Metode Support Vector Machine’, Jurnal Algoritme, 1(1), pp. 21–32.

Weinan, E. et al. (2020) ‘Towards a Mathematical Understanding of Neural Network-Based Machine Learning: What We Know and What We Don’t’, CSIAM Transactions on Applied Mathematics, 1(4), pp. 561–615. Available at: https://doi.org/10.4208/csiam-am.SO-2020-0002.

Wibowo, H. W., Hasbi, M. and Anshori, M. (2024) ‘Use Discriminant Analysis to Identify Eroticism-Related Terms in The Lyrics of Dangdut Songs’, 1(1), pp. 17–22.

Widayanti, E. (2017). Pemodelan Matematika Dalam Optimalisasi Produk Pengolahan Susu Segar. 4(2).

Wijayanti, I.E., Wahyuni, S., & Susanti, Y., 2018. Dasar-dasar Aljabar Linear dan Penggunaannya dalam Berbagai Bidang. UGM Press, Yogyakarta.

Witten, I.H. et al. (2016) Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann.

Wu, T. et al. (2022) ‘Intrusion detection system combined enhanced random forest with SMOTE algorithm’, Eurasip Journal on Advances in Signal Processing, 2022(1). doi: 10.1186/s13634-022-00871-6.

Wu, Y. (2014). Principal Component Analysis and Linear Discriminant Analysis. Electrical Engineering and Computer Science, Northwestern University, Evanston, wykład.

Xie, Y. (2015) ‘A Fault Diagnosis Approach Using SVM with Data Dimension Reduction by PCA and LDA Method’, 2015 Chinese Automation Congress (CAC), pp. 869–874. doi: 10.1109/CAC.2015.7382620.

Ying, S. et al. (2021) ‘An improved KNN-based efficient log anomaly detection method with automatically labeled samples’, ACM Transactions on Knowledge Discovery from Data (TKDD), 15(3), pp. 1-22.

Zhang, Z. (2016) ‘Introduction to machine learning: k-nearest neighbors’, Annals of Translational Medicine, 4(11). DOI: 10.21037/atm.2016.03.37.

Zhongwen, Z. and Huanghuang, G. (2017) ‘Visualization Study of High-Dimensional Data Classification Based on PCA- SVM’, 2017 IEEE Second International Conference on Data Science in Cyberspace (DSC), pp. 346–349. doi: 10.1109/DSC.2017.57.

Zhou, H., Wang, X. and Zhu, R. (2022) ‘Feature selection based on mutual information with correlation coefficient’, Applied Intelligence, 52(5), pp. 5457–5474. doi: 10.1007/s10489-021-02524-x.

Zhu, C., Idemudia, C. U. and Feng, W. (2019) ‘Improved logistic regression model for diabetes prediction by integrating PCA and K-means techniques’, Informatics in Medicine Unlocked, 17(March), p. 100179. doi: 10.1016/j.imu.2019.100179.