cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Riva’atul Adaniah Wahab
Contact Email
redaksi.bpostel@kominfo.go.id
Phone
+6285255022751
Journal Mail Official
redaksi.bpostel@kominfo.go.id
Editorial Address
Building B Floor IV, Medan Merdeka Barat Street No. 9, Jakarta Pusat - 10110 Phone. (021) 3483 3640 Fax. (021) 34833640
Location
Kota adm. jakarta pusat,
Dki jakarta
INDONESIA
Buletin Pos dan Telekomunikasi
Published by Kementerian Komunikasi dan Informatika
ISSN : 16930991     EISSN : 24431524     DOI : https://doi.org/10.17933/bpostel
Core Subject : Economy, Science, Social, Engineering,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Social Sciences
Scientific work/Manuscript that can be published in the Buletin Pos dan Telekomunikasi is in the form of academic papers, research reports, surveys, research briefings, and degree theses, analysis of secondary data, thoughts, theoretical/conceptual/methodological reviews in the field of: Post: including policy, technology and standardization of postal equipments and services. Telecommunications: including policy, standardization, market, resources, security, infrastructure and technology either wireless or wired telecommunications, both voice and data communications.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 192 Documents
 16   17   18   19   20 
Predicting Customer Churn in Indonesian ISPs with Multilayer Perceptron and Marketing Intelligence Gema Persada Arihta; Tanika D Sofianti; Win Sukardi
Buletin Pos dan Telekomunikasi Vol. 22 No. 2 (2024): December 2024
Publisher : Centre for Research and Development on Resources, Equipment, and Operations of Posts and I

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17933/bpostel.v22i2.405

Abstract

Customer churn is a major challenge in the highly competitive Indonesian Internet Service Provider (ISP) market, where companies face significant customer turnover rates impacting profitability and sustainability. This study integrates multilayer perceptron (MLP) neural networks with marketing intelligence to predict and mitigate churn effectively. The methodology includes data preparation, exploratory data analysis (EDA), and model development. EDA plays a critical role in identifying key features for churn prediction, ensuring meaningful insights into customer behavior. The model uses the Synthetic Minority Oversampling Technique (SMOTE) to address class imbalance, improving prediction performance. The final model achieved an area under the curve (AUC) of 99%, a metric that measures how well the model distinguishes between churned and non-churned customers, and an F1 score of 97%, which balances the model’s precision (accuracy of positive predictions) and recall (identification of all true churners). These findings provide actionable insights for ISPs to tailor customer retention strategies and improve business performance.
Optimising Interference Management in LTE Networks: A Case Study of Bandung City Using Soft Frequency Reuse Hikmaturokhman, Alfin; Hasanah Putri; Izanoordina Ahmad; Solihah, Normahinta
Buletin Pos dan Telekomunikasi Vol. 22 No. 2 (2024): December 2024
Publisher : Centre for Research and Development on Resources, Equipment, and Operations of Posts and I

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17933/bpostel.v22i2.406

Abstract

This paper explores the implementation of the Soft Frequency Reuse (SFR) algorithm to optimize interference management in LTE networks. Using Bandung City as a case study, the research evaluates performance metrics such as SINR and throughput across dense urban, urban, and suburban areas. The study employs the Cost-231 propagation model and proportional SINR-based resource allocation to optimize network planning. Results demonstrate that SFR effectively balances resource allocation and interference mitigation under varying traffic conditions, providing practical insights for network operators. These findings validate SFR’s capability to improve LTE network performance across diverse environments.

Page 20 of 20 | Total Record : 192

 16   17   18   19   20 

Filter by Year

2011 2024


Reset
Filter By Issues
All Issue Vol. 22 No. 2 (2024): December 2024 Vol. 22 No. 1 (2024): June 2024 Vol. 21 No. 2 (2023): December 2023 Vol. 21 No. 1 (2023): November 2023 Volume 19 Issue 2 (2021) Volume 19 Issue 1 (2021) Vol. 18 No. 2 (2020): December 2020 Vol. 18 No. 1 (2020): June 2020 Vol. 17 No. 2 (2019): Desember 2019 Vol. 17 No. 1 (2019): Juni 2019 Vol. 16 No. 2 (2018): Desember 2018 Vol. 16 No. 1 (2018): Juni 2018 Vol. 15 No. 2 (2017): December 2017 Vol. 15 No. 1 (2017): June 2017 Vol. 14 No. 2 (2016): December 2016 Vol. 14 No. 1 (2016): June 2016 Vol. 13 No. 2 (2015): December 2015 Vol. 13 No. 1 (2015): June 2015 Vol. 12 No. 4 (2014): December 2014 Vol. 12 No. 3 (2014): September 2014 Vol. 12 No. 2 (2014): June 2014 Vol. 12 No. 1 (2014): March 2014 Vol. 11 No. 4 (2013): December 2013 Vol. 11 No. 3 (2013): September 2013 Vol. 11 No. 2 (2013): June 2013 Vol. 11 No. 1 (2013): March 2013 Vol. 10 No. 4 (2012): December 2012 Vol. 10 No. 3 (2012): September 2012 Vol. 10 No. 2 (2012): June 2012 Vol. 10 No. 1 (2012): March 2012 Vol. 9 No. 4 (2011): December 2011 Vol. 9 No. 3 (2011): September 2011 Vol. 9 No. 2 (2011): June 2011 Vol. 9 No. 1 (2011): March 2011 More Issue