Analysis of Indonesian Public Satisfaction Towards Goods Delivery Services using the CNN-LSTM Model
The fast-paced development of e-commerce in Indonesia has driven the expansion and rising demand for goods delivery services. Every goods delivery service offers consultations or Q&A sessions about their services through Twitter. The number of tweets from users of goods delivery services can be...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Brawijaya
2025-05-01
|
| Series: | JITeCS (Journal of Information Technology and Computer Science) |
| Online Access: | http://jitecs.ub.ac.id/index.php/jitecs/article/view/507 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850258412907003904 |
|---|---|
| author | Anak Agung Istri Prabhaisvari Sadhaka I Made Agus Dwi Suarjaya Putu Wira Buana |
| author_facet | Anak Agung Istri Prabhaisvari Sadhaka I Made Agus Dwi Suarjaya Putu Wira Buana |
| author_sort | Anak Agung Istri Prabhaisvari Sadhaka |
| collection | DOAJ |
| description |
The fast-paced development of e-commerce in Indonesia has driven the expansion and rising demand for goods delivery services. Every goods delivery service offers consultations or Q&A sessions about their services through Twitter. The number of tweets from users of goods delivery services can be used to determine the level of public satisfaction with these delivery services. The sentiment analysis process is conducted using a CNN-LSTM deep learning model. Evaluation of the CNN-LSTM model resulted in an accuracy of 0.838, an F1-score of 0.838 for the macro average and micro average, a precision of 0.840 for the macro average and 0.838 for the micro average, and a recall of 0.840 for the macro average and 0.838 for the micro average. Based on the results of analysis, it was found that Indonesian people tend to be dissatisfied with existing delivery services.
|
| format | Article |
| id | doaj-art-2b6a43e7a0bc4acbbdc407c3e2c6f350 |
| institution | OA Journals |
| issn | 2540-9433 2540-9824 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | University of Brawijaya |
| record_format | Article |
| series | JITeCS (Journal of Information Technology and Computer Science) |
| spelling | doaj-art-2b6a43e7a0bc4acbbdc407c3e2c6f3502025-08-20T01:56:10ZengUniversity of BrawijayaJITeCS (Journal of Information Technology and Computer Science)2540-94332540-98242025-05-0110110.25126/jitecs.2025101507Analysis of Indonesian Public Satisfaction Towards Goods Delivery Services using the CNN-LSTM ModelAnak Agung Istri Prabhaisvari Sadhaka0I Made Agus Dwi Suarjaya1Putu Wira Buana2Faculty of Engineering, Udayana UniversityFaculty of Engineering, Udayana UniversityFaculty of Engineering, Udayana University The fast-paced development of e-commerce in Indonesia has driven the expansion and rising demand for goods delivery services. Every goods delivery service offers consultations or Q&A sessions about their services through Twitter. The number of tweets from users of goods delivery services can be used to determine the level of public satisfaction with these delivery services. The sentiment analysis process is conducted using a CNN-LSTM deep learning model. Evaluation of the CNN-LSTM model resulted in an accuracy of 0.838, an F1-score of 0.838 for the macro average and micro average, a precision of 0.840 for the macro average and 0.838 for the micro average, and a recall of 0.840 for the macro average and 0.838 for the micro average. Based on the results of analysis, it was found that Indonesian people tend to be dissatisfied with existing delivery services. http://jitecs.ub.ac.id/index.php/jitecs/article/view/507 |
| spellingShingle | Anak Agung Istri Prabhaisvari Sadhaka I Made Agus Dwi Suarjaya Putu Wira Buana Analysis of Indonesian Public Satisfaction Towards Goods Delivery Services using the CNN-LSTM Model JITeCS (Journal of Information Technology and Computer Science) |
| title | Analysis of Indonesian Public Satisfaction Towards Goods Delivery Services using the CNN-LSTM Model |
| title_full | Analysis of Indonesian Public Satisfaction Towards Goods Delivery Services using the CNN-LSTM Model |
| title_fullStr | Analysis of Indonesian Public Satisfaction Towards Goods Delivery Services using the CNN-LSTM Model |
| title_full_unstemmed | Analysis of Indonesian Public Satisfaction Towards Goods Delivery Services using the CNN-LSTM Model |
| title_short | Analysis of Indonesian Public Satisfaction Towards Goods Delivery Services using the CNN-LSTM Model |
| title_sort | analysis of indonesian public satisfaction towards goods delivery services using the cnn lstm model |
| url | http://jitecs.ub.ac.id/index.php/jitecs/article/view/507 |
| work_keys_str_mv | AT anakagungistriprabhaisvarisadhaka analysisofindonesianpublicsatisfactiontowardsgoodsdeliveryservicesusingthecnnlstmmodel AT imadeagusdwisuarjaya analysisofindonesianpublicsatisfactiontowardsgoodsdeliveryservicesusingthecnnlstmmodel AT putuwirabuana analysisofindonesianpublicsatisfactiontowardsgoodsdeliveryservicesusingthecnnlstmmodel |