Jurnal Komtika (Komputasi dan Informatika)
Articles
Machine Learning Berbasis Desktop dan Web dengan Metode Jaringan Syaraf Tiruan Untuk Sistem Pendukung Keputusan
Abstract
Machine learning application demand is increased massively because it provides good ability in the classification that is needed by decision makers. Machine learning application uses a programming language with strong characteristics in computing, usually the back-end programming language, such as Matlab, Python, R, etc. The obstacle faced by the decision support system developer is preparing an interface that makes it easy for the user. Some back-end programming languages have provided a good interface. Therefore, in this study they were compared by taking the case of a scholarship decision support system. The language used is Python with two web-based applications including Google Interactive Notebook and Flask framework. Both devices have their respective advantages and are worthy of being the first choice in the design of decision support systems.Python has advantages with framework Flask support and Matlab is easy in interface design.
Keywords
Decision Support System; Flask; Jinja2; Technical Computing Language; Artificial Neural NetworksReferences
- S. Haykin, “Neural networks: a comprehensive foundation by Simon Haykin, Macmillan, 1994, ISBN 0-02-352781-7.,†The Knowledge Engineering Review, vol. 13, no. 4. pp. 409–412, 1999.
- M. Hagan, M. T., Demuth, H. B., & Beale, Neural Network Design. Boston: PWS Publishing Co., 1997.
- M. Koprawi, “Parallel Computation in Uncompressed Digital Images Using Computer Unified Device Architecture and Open Computing Language,†PIKSEL, vol. 8, no. 1, pp. 31–38, 2020.
- NVIDIA, “NVIDIA on GPU Computing and the Difference Between GPUs and CPUs.,†2020.
- L. Pan, L. Gu, and J. Xu, “Implementation of medical image segmentation in CUDA,†5th Int. Conf. Inf. Technol. Appl. Biomed. ITAB 2008 conjunction with 2nd Int. Symp. Summer Sch. Biomed. Heal. Eng. IS3BHE 2008, pp. 82–85, 2008.
- P. Kim, MATLAB Deep Learning. New York: Apress, 2017.
- L. Fausett, Fundamentals of Neural Networks: Architectures, Algorithms, and Applications. USA: Prentice-Hall, Inc., 1994.
- R. N. Whidhiasih, “Identifikasi tingkat manis buah belimbing berdasarkan citra red green blue menggunakan fuzzy neural network,†PIKSEL Penelit. Ilmu Komput. Sist. Embed. Log., vol. 3, no. 2, pp. 109–120, 2015.
- R. T. Handayanto and H. Herlawati, “Prediksi Kelas Jamak dengan Deep Learning Berbasis Graphics Processing Units,†J. Kaji. Ilm., vol. 20, no. 1, pp. 67–76, 2020.
- L. Fausett, Fundamentals of Neural Networks, no. 1. 1994.
- M. Nehra, “Top 5 Python Frameworks for Web Development in 2020,†2020. [Online]. Available: https://medium.com/@mahipal.nehra/top-5-python-frameworks-for-web-development-in-2020-4abd6ee5f8ec. [Accessed: 26-May-2020].
- P. P. Widodo, R. T. Handayanto, and H. Herlawati, Penerapan Data Mining dengan Matlab. Bandung: Informatika, 2013.
- H. Herlawati and R. T. Handayanto, “Penggunaan Matlab dan Python dalam Klasterisasi Data,†J. Kaji. Ilm., vol. 20, no. 1, pp. 103–118, 2020.
Most read articles by the same author(s)
- Herlawati Herlawati, Andy Achmad Hendharsetiawan, Wowon Priatna, Afina Putri Dzulqiyana, Regita Ari Rahmadanti, Komparasi Kinerja ResNet50 dan MobileNetV2 pada Klasifikasi Citra Multi-Domain , Jurnal Komtika (Komputasi dan Informatika): Vol. 10 No. 1 (2026)
- Meri Anggaini, Herlawati Herlawati, Rakhmat Purnomo, Segmentasi Berbasis Data Time Series Penjualan Produk Kopi Menggunakan Algoritma K-Means , Jurnal Komtika (Komputasi dan Informatika): Vol. 9 No. 2 (2025)
- Herlawati Herlawati, Fata Nidaul Khasanah, Penentuan Lokasi Lahan dengan Sistem Pendukung Keputusan Kriteria Jamak Berbasis Sistem Informasi Geografis , Jurnal Komtika (Komputasi dan Informatika): Vol. 4 No. 2 (2020)
- Rahmadya Trias Handayanto, Herlawati Herlawati, Prima Dina Atika, Fata Nidaul Khasanah, Ajif Yunizar Pratama Yusuf, Dwi Yoga Septia, Analisis Sentimen Pada Situs Google Review dengan Naïve Bayes dan Support Vector Machine , Jurnal Komtika (Komputasi dan Informatika): Vol. 5 No. 2 (2021)
- Indra Wijaya, Herlawati Herlawati, Rafika Sari, Prediksi Curah Hujan Di Kabupaten Bogor Menggunakan Long Short-Term Memory Dan Gemma 2 , Jurnal Komtika (Komputasi dan Informatika): Vol. 9 No. 1 (2025)
- Oriza Sativa Dinauni Silaen, Herlawati Herlawati, Rasim Rasim, Analisis Sentimen Mengenai Gangguan Bipolar Pada Twitter Menggunakan Algoritma Naïve Bayes , Jurnal Komtika (Komputasi dan Informatika): Vol. 6 No. 2 (2022)
- Herlawati Herlawati, Fata Nidaul Khasanah, Prima Dina Atika, Rafika Sari, Rahmadya Trias Handayanto, Prediksi Perubahan Penggunaan Lahan dan Pola Berdasarkan Citra Landsat Multi Waktu dengan Land Change Modeler (LCM) , Jurnal Komtika (Komputasi dan Informatika): Vol. 5 No. 1 (2021)