ANALYSIS OF BUBBLE SORT AND INSERTION SORT ALGORITHM ON MEMORY EFFICIENCY USING DATA MINING APPROACH

Analisis Algoritma Bubble Sort Dan Insertion Sort Terhadap Efisiensi Memori Menggunakan Pendekatan Data Mining

  • Iqbal Dzulfiqar Iskandar (1*) Universitas Bina Sarana Informatika Tasikmalaya
  • Imam Amirulloh (2) Universitas Bina Sarana Informatika, Tasikmalaya Campus
  • Melisa Winda Pertiwi (3) STMIK Nusa Mandiri, Jakarta, Indonesia
  • Mira Kusmira (4) STMIK Nusa Mandiri, Jakarta, Indonesia
  • Agung Baitul Hikmah (5) Universitas Bina Sarana Informatika, Tasikmalaya Campus
  • Deddy Supriadi (6) Universitas Bina Sarana Informatika, Tasikmalaya Campus

  • (*) Corresponding Author
Keywords: Bubble sort, Decision Tree, Efisiensi memory, Visual Studio 2010, Data Mining, Java

Abstract

Sorting algorithm in the computational process makes it easy for users when the data sorting process because the data is sorted by the process quickly and automatically. In addition to speed in sorting data, memory efficiency must also be considered. In this research, a retesting of two sorting methods is conducted, namely the bubble sort method and the insertion sort method based on the comparison of two programming languages, Java with Visual Basic 2010 using the decision tree method. This research aims to find out which algorithm has lower memory consumption in the sorting process using Java or Visual Basic 2010. The results of the comparison show, in Visual Basic 2010. insertion sort algorithm which has the lowest average memory consumption of 4.3243KB for .vb extensions and 2.0145KB for .exe extensions. while the bubble sort method with a consumption amount of 4.4358KB for the .vb extension and 2.0352 for extension.exe. Furthermore, if you use the Java programming language. So the bubble sort method still consumes the highest average memory, which is 546,242KB for the .jar extension and 4,337KB for the .exe extension, whereas from the insertion sort method, which has a low average memory consumption of 543,578 KB for extension .jar, and 4,381KB for extension .exe.

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Author Biographies

Iqbal Dzulfiqar Iskandar, Universitas Bina Sarana Informatika Tasikmalaya

Iqbal Dzulfiqar Iskandar, lahir di tasikmalaya 13 oktober 1991, s1 universitas siliwangi, dan melanjutkan jenjang pendidikan S2 di STMIK Magister ilmu Komputer Nusa Mandiri jakarta, bidang ke ahlian data mining. sekarang sebagai Dosen pengajar di BSI Tasikmalaya - Bidang keahlian Sistem Teknologi Informasi, Jaringan, Data mining - Jaringan Komputer - Familiar dengan Sistem Operasi clear OS, Ms. Windows 98, Windows 2000, Ms. Windows XP, Windows7 dan Windows 8. - Mampu mengoperasikan komputer, merakit/memperbaiki PC dan menginstall system operasi komputer. - Mampu installasi jaringan computer local area. - Mampu merancang kebutuhan system dan membuat perangkat lunak. - Mampu menggunakan aplikasi Microsoft Office, Software Pembangun Sistem : Turbo Pascal, C++, Visual Basic 6.0, Macromedia Dreamweaver, Adobe Dreamweaver, Java NetBeans, Flash, Packet tracer. - Software Desain Grafis : Macromedia Fireworks MX, Adobe Photoshop, Corel Draw. - Konfigurasi jaringan computer. - Manajemen Database : Microsoft Access dan MySQL - Mampu menggunakan Internet, Browsing, Email dll.

Imam Amirulloh, Universitas Bina Sarana Informatika, Tasikmalaya Campus

Information Systems Study Program, Faculty of Engineering and Informatics

Melisa Winda Pertiwi, STMIK Nusa Mandiri, Jakarta, Indonesia

Information Systems Study Program

Mira Kusmira, STMIK Nusa Mandiri, Jakarta, Indonesia

Information Systems Study Program

Agung Baitul Hikmah, Universitas Bina Sarana Informatika, Tasikmalaya Campus

Information Systems Study Program, Faculty of Engineering and Informatics

Deddy Supriadi, Universitas Bina Sarana Informatika, Tasikmalaya Campus

Information Systems Study Program, Faculty of Engineering and Informatics

References

Badrul, M. (2014). Perbandingan Algoritma C4.5 Dan Neural Network Untuk Memprediksi Hasil Pemilu Legislatif DKI Jakarta. Juurnal Pilar Nusa Mandiri, 10(2), 127–138. https://doi.org/10.33480/pilar.v10i2.470

Iskandar, I. D. (2019). Parents’ Sum of Salaries Analyses towards School Tuition Fee Arrears Potential with Decision Tree Method. Indonesian Journal of Information Systems, 2(1), 45. https://doi.org/10.24002/ijis.v2i1.2168

Iskandar, I. D., Amirulloh, I., Pertiwi, M. W., Kusmira, M., Hikmah, A. B., & Supriadi, D. (2020). Laporan Akhir Penelitian Mandiri: Analisis Algoritma Bubble Sort Dan Insertion Sort Terhadap Efisiensi Memori Menggunakan Pendekatan Data Mining.

Jiang, H., & Wang, R. (2016). Fault mode prediction based on decision tree. IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), 1729–1733. https://doi.org/10.1109/IMCEC.2016.7867514

Rahayu, E. S., Wahono, R. S., & Supriyanto, C. (2015). Penerapan Metode Average Gain, Threshold Pruning dan Cost. Journal of Intelligent Systems, 1(2), 91–97. http://www.journal.ilmukomputer.org/index.php?journal=jis&page=article&op=view&path%5B%5D=80

Saptadi, A. H., & Sari, D. W. (2012). Analisis Algoritma Insertion Sort, Merge Sort Dan Implementasinya Dalam Bahasa Pemrograman C++. JURNAL INFOTEL - Informatika Telekomunikasi Elektronika, 4(2), 10. https://doi.org/10.20895/infotel.v4i2.103

Suryani, D. (2013). Perbandingan Metode Bubble Sort dan Insertion Sort Terhadap Efisiensi Memori. Jurnal Teknologi Informasi & Pendidikan, 6(1), 146–162.

Sutoyo, I. (2018). Implementasi Algoritma Decision Tree Untuk Klasifikasi Data Peserta Didik. Jurnal Pilar Nusa Mandiri, 14(2), 217. https://doi.org/10.33480/pilar.v14i2.926

Tjaru, S. N. B. (2009). Kompleksitas Algoritma Pengurutan Selection Sort dan Insertion Sort. Makalah IF2091 Strategi Algoritmik Tahun 2009. http://informatika.stei.itb.ac.id/~rinaldi.munir/Matdis/2009-2010/Makalah0910/MakalahStrukdis0910-074.pdf

Vijay Kotu, & Deshpande, B. (2015). Predictive Analytics and Data Mining: Concepts and Practice with Rapidminer. Elsevier Inc. https://doi.org/10.1016/C2014-0-00329-2

Published
2020-03-31
How to Cite
Iskandar, I., Amirulloh, I., Pertiwi, M., Kusmira, M., Hikmah, A., & Supriadi, D. (2020). ANALYSIS OF BUBBLE SORT AND INSERTION SORT ALGORITHM ON MEMORY EFFICIENCY USING DATA MINING APPROACH. Jurnal Pilar Nusa Mandiri, 16(1), 89-96. https://doi.org/10.33480/pilar.v16i1.1165
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