Algoritma Pemograman : Kunci Efisiensi Dalam Pengelolaan Data Besar
DOI:
https://doi.org/10.51903/pendekar.v2i1.601Keywords:
Programming Algorithms, Efficiency, Machine Learning, Big Data, Management, Research, Time ComplexityAbstract
This research aims to explain the key role of programming algorithms in improving the efficiency of big data processing. This abstract will discuss the methods used in the research, the results obtained, and the implications of the findings. This research uses an analytical and experimental approach to study various types of programming algorithms used in big data processing. Data collection methods involve literature review and experiments with representative datasets. The results show that selecting the right programming algorithm can significantly improve the efficiency of big data processing. Efficient sorting algorithms, such as merge sort and quick sort, can sort data with a time complexity of O(n log n). In addition, machine learning algorithms have also proven effective in analyzing and making decisions based on big data. The implications of these findings are that the use of the right programming algorithms can optimize big data processing in various fields, such as business, education, and research. By implementing efficient programming algorithms, organizations can save time, resources, and improve decision-making quality.
References
Adelia Alfama Zamista, Ari Sellyana, & Hanifatul Rahmi. (2021). Persepsi Mahasiswa Terhadap Praktikum Daring Mata Kuliah Algoritma Dan Pemograman Ditinjau Dari Perbedaan Gender. Jurnal DINAMIKA PENDIDIKAN UKI, 14(2), 70–77.
Drs. Suarga, M.Sc., M.Math., P. . (2012). Algoritma dan Pemrograman. Algoritma Dan Pemprograman, 148. https://www.google.co.id/books/edition/Algoritma_Pemrograman/diCeEAAAQBAJ?hl=id&gbpv=0
Faiqoh, A., Firmania, N., & Wibawa, A. P. (2015). Pengembangan modul cetak dan visualisasi algoritma pemrograman dasar untuk smk kelas x. 6–8.
Janan, T., Dwi, P., Sitaresmi, W., & Damayanti, R. (2022). Pengaruh Penerapan Algoritma Terhadap. 1, 12–22.
Josi, A. (2017). Implementasi Algoritma Genetika pada Aplikasi Penjadwalan Perkuliahan Berbasis Web dengan mengadopsi model Waterfall (Studi Kasus: STMIK Prabumulih). Jurnal Informatika: Jurnal Pengembangan IT, 2(2), 77–83. https://doi.org/10.30591/jpit.v2i2.517
Oktarina, D., & Hajjah, A. (2019). Perancangan Sistem Penjadwalan Seminar Proposal dan Sidang Skripsi dengan Metode Algoritma Genetika. JOISIE (Journal Of Information Systems And Informatics Engineering), 3(1), 32. https://doi.org/10.35145/joisie.v3i1.421
Purwanto, E. (2023). Analisis Kesalahan Coding Pemrograman Di Microsoft Visual Basic for Applications Pada Mahasiswa Program Studi Pendidikan …. ELIPS: Jurnal Pendidikan Matematika, 4, 93–102. http://journal.unpacti.ac.id/index.php/ELIPS/article/view/693
Syamsudin, A. (2020). Analisis Kesalahan Coding Pemrograman Java pada Matakuliah Algoritma Pemrograman Mahasiswa Tadris Matematika IAIN Kediri. Journal Focus Action of Research Mathematic (Factor M), 2(2), 102–114. https://doi.org/10.30762/factor_m.v2i2.1711
