Leveraging Latent Dirichlet Allocation for Feature Extraction in User Comments: Enhancements to User-Centered Design in Indonesian Financial Technology

The burgeoning Financial Technology (FinTech) sector in Indonesia, while witnessing a surge in user base, contends with limitations in system functionalities and service offerings. The extraction of latent features from user comments is imperative for the identification of these inadequacies, servin...

Full description

Saved in:
Bibliographic Details
Published in:Ingénierie des systèmes d'Information Vol. 28; no. 5; pp. 1423 - 1433
Main Authors: Widiantoro, Albertus Dwiyoga, Mustafid, Mustafid, Sanjaya, Ridwan
Format: Journal Article
Language:English
Published: Edmonton International Information and Engineering Technology Association (IIETA) 31.10.2023
Subjects:
Algorithms
Bank technology
Business models
Coherence
Feature extraction
Parameter estimation
Portfolio management
Probabilistic models
Sentiment analysis
Trends
Usability
User experience
User needs
User-centered design
Indonesia
ISSN:1633-1311, 2116-7125
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract The burgeoning Financial Technology (FinTech) sector in Indonesia, while witnessing a surge in user base, contends with limitations in system functionalities and service offerings. The extraction of latent features from user comments is imperative for the identification of these inadequacies, serving as a catalyst for innovation and delivering advantages to both consumers and developers of FinTech applications. This study employs Latent Dirichlet Allocation (LDA) algorithm, an intelligent probabilistic model, to discern and extract underlying topics within narratives found in user comments on FinTech platforms. In this approach, words within each topic are ranked according to their respective probabilities. Through the LDA algorithm, ten salient topics, each comprising ten keywords, have been identified. These topics coalesce into three broad categories: system improvements in applications, services that are out of sync with the system, and service satisfaction. The coherence of the topics has been quantitatively assessed, with an average score of 0.564, indicative of substantial coherence. Findings from the LDA model are integrated into the User-Centered Design (UCeD) framework, wherein the algorithm streamlines the UCeD's evaluative and abstraction processes, as well as the grouping of user necessities. This integration aids FinTech management teams in pinpointing pertinent user feedback, thereby facilitating the refinement of application development.
AbstractList The burgeoning Financial Technology (FinTech) sector in Indonesia, while witnessing a surge in user base, contends with limitations in system functionalities and service offerings. The extraction of latent features from user comments is imperative for the identification of these inadequacies, serving as a catalyst for innovation and delivering advantages to both consumers and developers of FinTech applications. This study employs Latent Dirichlet Allocation (LDA) algorithm, an intelligent probabilistic model, to discern and extract underlying topics within narratives found in user comments on FinTech platforms. In this approach, words within each topic are ranked according to their respective probabilities. Through the LDA algorithm, ten salient topics, each comprising ten keywords, have been identified. These topics coalesce into three broad categories: system improvements in applications, services that are out of sync with the system, and service satisfaction. The coherence of the topics has been quantitatively assessed, with an average score of 0.564, indicative of substantial coherence. Findings from the LDA model are integrated into the User-Centered Design (UCeD) framework, wherein the algorithm streamlines the UCeD's evaluative and abstraction processes, as well as the grouping of user necessities. This integration aids FinTech management teams in pinpointing pertinent user feedback, thereby facilitating the refinement of application development.
Author Widiantoro, Albertus Dwiyoga
Sanjaya, Ridwan
Mustafid, Mustafid
Author_xml – sequence: 1
  givenname: Albertus Dwiyoga
  surname: Widiantoro
  fullname: Widiantoro, Albertus Dwiyoga
– sequence: 2
  givenname: Mustafid
  surname: Mustafid
  fullname: Mustafid, Mustafid
– sequence: 3
  givenname: Ridwan
  surname: Sanjaya
  fullname: Sanjaya, Ridwan
BookMark eNotUE1PwzAMjRBIjLETfyASR9QRN_3kNnUbTKrEZTtXaep2mbpkJB1iv4S_S9Thy_Oz_WzrPZBbbTQS8gRsDlmYsVfl1NxjzNkNmYQASZBCGN-SCSScB8AB7snMuQPzwTkkEZuQ3xK_0YpO6Y6WYkA90KWySu57HOii740UgzKatsbSNYrhbJGufgYr5FhWmu4cWlqY49Fr3Rtd6b3QEkdGBzO2g8IztNjQJTrVjbKNbvz7TglN10p7iRI93aLca9Ob7vJI7lrRO5z945Ts1qtt8RGUn--bYlEGElJgQVzHnKe5FE2asCZumjwRSVvLlEdNzhHqFmqEKBS1DNuUZ7WUeVbXMmHcpxz5lDxf956s-TqjG6qDOVvtT1ac5WkUAosjP_VynZLWOGexrU5WHYW9VMCq0fzKm19dzed_MdB8KA
ContentType Journal Article
Copyright 2023. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: 2023. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID AAYXX
CITATION
8FE
8FG
ABJCF
AFKRA
BENPR
BGLVJ
CCPQU
DWQXO
HCIFZ
L6V
M7S
PHGZM
PHGZT
PKEHL
PQBIZ
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PTHSS
DOI 10.18280/isi.280530
DatabaseName CrossRef
ProQuest SciTech Collection
ProQuest Technology Collection
Materials Science & Engineering Collection
ProQuest Central UK/Ireland
ProQuest Central
Technology Collection
ProQuest One Community College
ProQuest Central
SciTech Premium Collection
ProQuest Engineering Collection
Engineering Database
ProQuest Central Premium
ProQuest One Academic
ProQuest One Academic Middle East (New)
ProQuest One Business (OCUL)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
Engineering Collection
DatabaseTitle CrossRef
ProQuest One Business
Engineering Database
Technology Collection
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition
SciTech Premium Collection
ProQuest One Community College
ProQuest Technology Collection
ProQuest SciTech Collection
ProQuest Central China
ProQuest Central
ProQuest One Applied & Life Sciences
ProQuest Engineering Collection
ProQuest One Academic UKI Edition
ProQuest Central Korea
Materials Science & Engineering Collection
ProQuest One Academic
ProQuest Central (New)
Engineering Collection
ProQuest One Academic (New)
DatabaseTitleList ProQuest One Business
Database_xml – sequence: 1
  dbid: BENPR
  name: ProQuest Central (subscription)
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Library & Information Science
Computer Science
EISSN 2116-7125
EndPage 1433
ExternalDocumentID 10_18280_isi_280530
GeographicLocations Indonesia
GeographicLocations_xml – name: Indonesia
GroupedDBID 8FE
8FG
AAYXX
ABJCF
ADMLS
AEGXH
AFFHD
AFKRA
AHQJS
AKVCP
ALMA_UNASSIGNED_HOLDINGS
BENPR
BGLVJ
CCPQU
CITATION
EBS
EJD
HCIFZ
KBL
L6V
M7S
OK1
PHGZM
PHGZT
PQBIZ
PQGLB
PTHSS
TH9
DWQXO
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
ID FETCH-LOGICAL-c1710-5b53379cad760d5dd96a6fbc734d93e1bf1be142abc2f738bcc98bbc603bcc3e3
IEDL.DBID M7S
ISSN 1633-1311
IngestDate Fri Jul 25 10:58:03 EDT 2025
Sat Nov 29 02:34:45 EST 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed false
IsScholarly true
Issue 5
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c1710-5b53379cad760d5dd96a6fbc734d93e1bf1be142abc2f738bcc98bbc603bcc3e3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
OpenAccessLink https://www.iieta.org/download/file/fid/112095
PQID 3097421054
PQPubID 2069459
PageCount 11
ParticipantIDs proquest_journals_3097421054
crossref_primary_10_18280_isi_280530
PublicationCentury 2000
PublicationDate 2023-10-31
PublicationDateYYYYMMDD 2023-10-31
PublicationDate_xml – month: 10
  year: 2023
  text: 2023-10-31
  day: 31
PublicationDecade 2020
PublicationPlace Edmonton
PublicationPlace_xml – name: Edmonton
PublicationTitle Ingénierie des systèmes d'Information
PublicationYear 2023
Publisher International Information and Engineering Technology Association (IIETA)
Publisher_xml – name: International Information and Engineering Technology Association (IIETA)
SSID ssj0000331640
Score 2.261847
Snippet The burgeoning Financial Technology (FinTech) sector in Indonesia, while witnessing a surge in user base, contends with limitations in system functionalities...
SourceID proquest
crossref
SourceType Aggregation Database
Index Database
StartPage 1423
SubjectTerms Algorithms
Bank technology
Business models
Coherence
Feature extraction
Parameter estimation
Portfolio management
Probabilistic models
Sentiment analysis
Trends
Usability
User experience
User needs
User-centered design
Title Leveraging Latent Dirichlet Allocation for Feature Extraction in User Comments: Enhancements to User-Centered Design in Indonesian Financial Technology
URI https://www.proquest.com/docview/3097421054
Volume 28
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVPQU
  databaseName: Engineering Database
  customDbUrl:
  eissn: 2116-7125
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000331640
  issn: 1633-1311
  databaseCode: M7S
  dateStart: 20220101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central (subscription)
  customDbUrl:
  eissn: 2116-7125
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000331640
  issn: 1633-1311
  databaseCode: BENPR
  dateStart: 20220101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LT9xADLYK9MCFV1vxlg-I25RkZ_MYLhWFXVFptUK0VNyizCMiElogGxD_hL-LPZlAe-mlhyiJRpNE-hyP7bH9ARwkmvwepSNRpqkRw0GZiDxxmVBuqEweDXTumz3_nmTTaX59rS5CwG0e0ip7negVtb0zHCM_khFZvuSfJMNv9w-CWaN4dzVQaCzAEndJiH3q3s-3GEskJXkDviYylVJwZ5lQokd-RnRUz-uvdE44A_rPRelvnewXmvHq_37iGqwEExNPOplYhw9VswGrPX0Dhr95A_ZCzQIeYihKYpD68U_wMnEk557FCCdkks5aJAVZmxuCGk9ueRX0E2gqsiX52DgcPbdNVyqB9QyvSL6RS1A4W-MYR7MbljF_h-2dHxYcXma-UDzzuSQ87QczjDiu7sRx3xAE3_cAPsPVePTr9FwEHgdhYjJgRKLJpsyUKW2WRjaxVqVlWmmTyaFV0sW6irWLSU60GVSZzLUxKtfapJGkS-nkF1ic0Xs3ASvFz8iljTUBa3Upq8zpgbR0kLWit-CgB7K479p1FOzmMN4F4V10eG_Bbo9gEf7ZefEO3_a_h3dgmUnnuxVsFxbb5tHtwUfz1NbzZh-Wvo-mF5f7XhRfAVJC6Zg
linkProvider ProQuest
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1LT9VAFD5BNNENKGoEQc8C3Y20ndvHmBhD4N5wQ70xEQy72nk0NDEX6C2ov8R_4W_0nGkLunHHwkXTNpNpm-k353xn5jwAtmNNdo_SgSiTxIhRVMYii10qlBspkwWRznyy5895OptlJyfq4xL8GmJh2K1ykIleUNszw2vkOzIg5kv2STx6f34huGoU764OJTQ6WBy6H9_IZFu8m-7T_30VRZPx0d6B6KsKCBOSOhWxJoaTKlPaNAlsbK1KyqTSJpUjq6QLdRVqF9JXaxNVqcy0MSrT2iSBpEvpJD33DtwlGhEp7yr46XpNJ5CSrA8fg5lIKTiTTR8SSHZNsFMv6jd0jtnj-k8l-LcO8Iptsvq_DclDWOkpNO52mH8ES1WzBqtDeQrspdUabPUxGfga-6ArBuHQ_hh-5o7msa_ShDlR7nmLpABqc0pQxt2vrOV9B-qKzJQvG4fj723ThYJgPcdjmr_IITbsjfIWx_NTnkP-Dtsz3yx4-ZzroeK-95XhblOuoOI4ehUnQ8ITvNnjeALHtzJ8T2F5Tu99BlgpfkYmbagJSFaXskqdjqSlg9iYXoftATjFeZeOpGAzjvFVEL6KDl_rsDkgpuhl0qK4gcvGv5tfwv2Dow95kU9nh8_hQUS0rtPWm7DcNpduC-6Zq7ZeNC88_BG-3Da4fgPvk0ez
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Leveraging+Latent+Dirichlet+Allocation+for+Feature+Extraction+in+User+Comments%3A+Enhancements+to+User-Centered+Design+in+Indonesian+Financial+Technology&rft.jtitle=Ing%C3%A9nierie+des+syst%C3%A8mes+d%27Information&rft.au=Widiantoro%2C+Albertus+Dwiyoga&rft.au=Mustafid%2C+Mustafid&rft.au=Sanjaya%2C+Ridwan&rft.date=2023-10-31&rft.issn=1633-1311&rft.eissn=2116-7125&rft.volume=28&rft.issue=5&rft.spage=1423&rft.epage=1433&rft_id=info:doi/10.18280%2Fisi.280530&rft.externalDBID=n%2Fa&rft.externalDocID=10_18280_isi_280530
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1633-1311&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1633-1311&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1633-1311&client=summon