Page Header Logo

Cover Page

Journal Content
Browse
  • By Issue
  • By Author
Information
  • For Readers
  • For Authors
  • For Librarians
Current Issue
Atom logo
RSS2 logo
RSS1 logo
  • About the Journal
  • Aims and Scope
  • Submission
  • Author Guidelines
  • Review Process
  • Privacy Statement
  • Article Processing charges
  • Publication Ethics
  • Open Access
  • Copyright and License
  • Archive Policy
  • Plagiarism Policy

Template Cover Page Cover Page
Similarity Checker

Cover Page

Member of

Cover Page

Statistics


Flag Counter

  • Home
  • Current
  • Announcement
  • Archive
  • Editorial Team
  • Reviewers
  • Contact us
  • Search
Home > Articles

Prediksi Peningkatan Jumlah Pelanggan dengan Simulasi Monte Carlo

  • Siska Dwi Anggraini
    Universitas Putra Indonesia YPTK Padang

  • Gunadi Widi Nurcahyo
    Universitas Putra Indonesia YPTK Padang


DOI: https://doi.org/10.37034/infeb.v3i3.92
Keywords: Prediction, Simulation, Monte Carlo, Data, Customer

Abstract

CV. Tomi Advertising is a business sector that operates in advertising, construction and promotion that has various types of work services such as manufacturing neonboxes, signboards, signboards, banners, mild steel, modif houses, and others. CV. Tomi Advertising was founded in August 1997 with several ups and downs in business so that it can survive until now by establishing cooperation in several areas such as Pekanbaru, Jambi, Riau Islands and Pangkal Pinang. The recording system for the number of customers who came to CV. Tomi Advertising is done manually using a book. So that the recording of the number of subscribers is not well organized. There are some customers who do not fill in the customer arrival book so that the increase in the number of customers from year to year is less effective. The prediction of the number of subscribers is used as a reference to increase the number of subscribers. The prediction of the number of subscribers is a calculation of the level of the number of customers who come at a certain time. The purpose of this study is to predict the increase in the number of customers that occur at CV. Tomi Advertising. Where, data processing carried out by the Monte Carlo method comes from the amount of data from January 2018 to December 2020. Data processing for the number of customers is also applied to the system using the PHP programming language (Hypertext Processor). Based on the simulation, the increase in the number of customers that has been done is getting an average of 72% so that it can make it easier for business managers to make decisions in order to develop a business.

Downloads

Download data is not yet available.

References

Akbar, A. A., Alamsyah, H., & Riska, R. (2020). Simulasi Prediksi Jumlah Mahasiswa Baru Universitas Dehasen Bengkulu Menggunakan Metode Monte Carlo. Jurnal Pseudocode, 7(1) 8–16. DOI: https://doi.org/10.33369/pseudocode.7.1.8-16 .

Geni, B. Y., Santony, J., & Sumijan. (2019). Prediksi Pendapatan Terbesar pada Penjualan Produk Cat dengan Menggunakan Metode Monte Carlo. Jurnal Informatika Ekonomi Bisnis, 1(4), 15–20. DOI: https://doi.org/10.37034/infeb.v1i4.5 .

Suhaidir, L. G., Sumijan, S., & Yunus, Y. (2020). Prediksi Tingkat Pemahaman Siswa terhadap Data Nominatif Menggunakan Metode Monte Carlo. Jurnal Sistim Informasi dan Teknologi, 2(3) 90–95. DOI: https://doi.org/10.37034/jsisfotek.v2i3.73 .

Ferdinal, D., Defit, S., & Yunus, Y. (2021). Prediksi Bed Occupancy Ratio (BOR) Menggunakan Metode Monte Carlo. Jurnal Informasi dan Teknologi, 3(1). DOI: https://doi.org/10.37034/jidt.v3i1.80 .

Mahessya, R. A. (2017). Pemodelan dan Simulasi Sistem Antrian Pelayanan Pelanggan Menggunakan Metode Monte Carlo Pada PT. Pos Indonesia (Persero) Padang. Jurnal Ilmu Komputer, 6(1), 15–24. DOI: http://doi.org/10.33060/jik/2017/vol6.iss1.41 .

Syahrin, E., Santony, J., & Na’am, J. (2019). Pemodelan Penjualan Produk Herbal Menggunakan Metode Monte Carlo. Jurnal KomtekInfo, 5(3), 33–41. DOI: https://doi.org/10.35134/komtekinfo.v5i3.148 .

Manurung, K. H., & Santony, J. (2019). Simulasi Pengadaan Barang menggunakan Metode Monte Carlo. Jurnal Sistim Informasi dan Teknologi, 1(3), 7–11. DOI: https://doi.org/10.35134/jsisfotek.v1i3.3 .

Darnis, R., Nurcahyo, G. W., & Yunus, Y. (2020). Simulasi Monte Carlo untuk Memprediksi Persediaan Darah. Jurnal Informasi dan Teknologi, 2(4). DOI: https://doi.org/10.37034/jidt.v2i4.98 .

Iftitah, H., & Yunus, Y. (2020). Prediksi Tingkat Penerimaan Lulusan Siswa Kejuruan dalam Dunia Usaha dan Industri Menggunakan Metode Monte Carlo. Jurnal Sistim Informasi dan Teknologi, 2(3), 84–89. DOI: https://doi.org/10.37034/jsisfotek.v2i3.71 .

Santony, J. (2020). Simulasi Penjadwalan Proyek Pembangunan Jembatan Gantung dengan Metode Monte Carlo. Jurnal Informasi dan Teknologi, 2(1), 36–42. DOI: https://doi.org/10.37034/jidt.v2i1.34 .

Zulfiandry, R. (2018). Optimasi Kegiatan Pelatihan Menggunakan Metode Simulasi Monte Carlo (Studi Kasus di Balai Latihan Kerja Dinas Tenaga Kerja dan Transmigrasi Provinsi Bengkulu). ILKOM Jurnal Ilmiah, 10(1), 113–119. DOI: https://doi.org/10.33096/ilkom.v10i1.252.113-119 .

Arvin, A., Sandhyavitri, A., & Ikhsan, M. (2018). Mitigasi Risiko Keterlambatan Proyek Perbaikan Tangki Minyak Mentah di Duri dengan Simulasi Monte Carlo. Jurnal Sains dan Teknologi, 17(2), 49.

Hendrawan, M. E., Widana, I. N., & Jayanegara, K. (2019). Asuransi Jiwa Endowment dengan Pengembalian Premi Menggunakan Simulasi Monte Carlo. E-Jurnal Matematika, 8(2), 95. DOI: https://doi.org/10.24843/mtk.2019.v08.i02.p240 .

Apri, M., & Aldo, D. (2019). Simulasi Monte Carlo untuk Memprediksi Jumlah Kunjungan Pasien. Jursima, 7(2), 92. DOI: https://doi.org/10.47024/js.v7i2.176 .

Astia, R. Y., Santony, J., & Sumijan, S. (2019). Prediction of Amount of Use of Planning Family Contraception Equipment Using Monte Carlo Method (Case Study In Linggo Sari Baganti District). Indonesian Journal of Artificial Intelligence and Data Mining, 2(1). DOI: https://doi.org/10.24014/ijaidm.v2i1.5825 .

Wijaya, F. S., & Sulistio, H. (2019). Penerapan Metode Monte Carlo pada Penjadwalan Proyek Serpong Garden Apartment. JMTS: Jurnal Mitra Teknik Sipil, 2(3), 189. DOI: https://doi.org/10.24912/jmts.v2i3.5828 .

DOWNLOAD
Published
2021-03-20
Issue
Vol. 3, No. 3 (September 2021)
Section
Articles
How to Cite
Anggraini, S. D., & Nurcahyo, G. W. (2021). Prediksi Peningkatan Jumlah Pelanggan dengan Simulasi Monte Carlo. Jurnal Informatika Ekonomi Bisnis, 3(3), 95-100. https://doi.org/10.37034/infeb.v3i3.92
  • ACM
  • ACS
  • APA
  • ABNT
  • Chicago
  • Harvard
  • IEEE
  • MLA
  • Turabian
  • Vancouver
Download Citation
  • Endnote/Zotero/Mendeley (RIS)
  • BibTeX
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.



Indexing and Abstractions:

Published:

       Creative Commons License
       This work is licensed under a Creative Commons Attribution 4.0 International Public License (CC BY 4.0).