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Open access Jurnal SINTA 3

Feature Oriented Competitor Analysis pada Warehouse Management System di Industri

SemanTIK: Teknik Informasi · Vol. 11 No. 2 (2025)

DOI
10.55679/semantik.v11i2.232
ISSN
2502-8928, 2460-1446
Published
2025-12-16
Publisher
Informatics Engineering Department of Halu Oleo University
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Warehouse Management System (WMS) memiliki peran penting dalam mendukung efisiensi manajemen stok gudang, namun analisis fitur kompetitor secara sistematis masih jarang dilakukan. Penelitian ini bertujuan untuk menganalisis fitur utama WMS dan memberikan rekomendasi pengembangan aplikasi ScanMP sebagai sistem manajemen stok dengan integrasi barcode scanner dan otomatisasi laporan. Metode yang digunakan adalah kualitatif deskriptif dengan pendekatan Feature Oriented Competitor Analysis (FOCA) berbasis App Store dan Large Language Model (LLM), melalui analisis metadata dari lima aplikasi kompetitor yang diperoleh dengan web scraping pada Google Play Store. Hasil penelitian mengidentifikasi lima fitur utama yang paling umum, yaitu Stock Tracking, Barcode Scanning, Report Export, Expense Tracking, dan User Access Control, yang dipetakan dalam bentuk hierarki fitur. Selain itu, penelitian ini juga menyoroti relevansi fitur tersebut terhadap kebutuhan industri yang dinamis. Kesimpulan dari penelitian ini menunjukkan bahwa pendekatan FOCA berbasis App Store dan LLM mampu memberikan wawasan strategis bagi pengembangan ScanMP agar lebih adaptif dan kompetitif dalam memenuhi kebutuhan industri logistik. Warehouse Management Systems (WMS) play a crucial role in enhancing warehouse stock efficiency, yet systematic competitor feature analysis remains limited. This study aims to analyze the core features of WMS applications and provide recommendations for developing ScanMP, a stock management system with barcode scanning and automated reporting capabilities. A descriptive qualitative method was applied using the Feature Oriented Competitor Analysis (FOCA) approach supported by a Large Language Model (LLM), by analyzing metadata from five competitor applications collected through web scraping of the Google Play Store. The results identified five core features—Stock Tracking, Barcode Scanning, Report Export, Expense Tracking, and User Access Control—which were mapped into a hierarchical structure. In addition, this study emphasizes the relevance of these features to the evolving demands of the industry. The findings conclude that the FOCA approach with LLM provides strategic insights to support the development of ScanMP as a more adaptive and competitive WMS for industrial needs.

Keywords

Collaboration network of the authors

4 authors · 3 co-authorship links

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  • Universitas Muhammadiyah Malang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
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Co-authorOrganisationJoint articles
Moh. Ahsan MalikAffiliation unknown1
Abd. SalehUniversitas Muhammadiyah Malang1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://semantik.uho.ac.id/index.php/journal/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Feature Oriented Competitor Analysis pada Warehouse Management System di Industri</dc:title>
	<dc:creator>Carveyna, Razzan</dc:creator>
	<dc:creator>Kusuma, Wahyu Andhyka</dc:creator>
	<dc:subject xml:lang="en-US">FOCA</dc:subject>
	<dc:subject xml:lang="en-US">Feature Analysis</dc:subject>
	<dc:subject xml:lang="en-US">Warehouse Management System</dc:subject>
	<dc:description xml:lang="en-US">Warehouse Management System (WMS) memiliki peran penting dalam mendukung efisiensi manajemen stok gudang, namun analisis fitur kompetitor secara sistematis masih jarang dilakukan. Penelitian ini bertujuan untuk menganalisis fitur utama WMS dan memberikan rekomendasi pengembangan aplikasi ScanMP sebagai sistem manajemen stok dengan integrasi barcode scanner dan otomatisasi laporan. Metode yang digunakan adalah kualitatif deskriptif dengan pendekatan Feature Oriented Competitor Analysis (FOCA) berbasis App Store dan Large Language Model (LLM), melalui analisis metadata dari lima aplikasi kompetitor yang diperoleh dengan web scraping pada Google Play Store. Hasil penelitian mengidentifikasi lima fitur utama yang paling umum, yaitu Stock Tracking, Barcode Scanning, Report Export, Expense Tracking, dan User Access Control, yang dipetakan dalam bentuk hierarki fitur. Selain itu, penelitian ini juga menyoroti relevansi fitur tersebut terhadap kebutuhan industri yang dinamis. Kesimpulan dari penelitian ini menunjukkan bahwa pendekatan FOCA berbasis App Store dan LLM mampu memberikan wawasan strategis bagi pengembangan ScanMP agar lebih adaptif dan kompetitif dalam memenuhi kebutuhan industri logistik.
Warehouse Management Systems (WMS) play a crucial role in enhancing warehouse stock efficiency, yet systematic competitor feature analysis remains limited. This study aims to analyze the core features of WMS applications and provide recommendations for developing ScanMP, a stock management system with barcode scanning and automated reporting capabilities. A descriptive qualitative method was applied using the Feature Oriented Competitor Analysis (FOCA) approach supported by a Large Language Model (LLM), by analyzing metadata from five competitor applications collected through web scraping of the Google Play Store. The results identified five core features—Stock Tracking, Barcode Scanning, Report Export, Expense Tracking, and User Access Control—which were mapped into a hierarchical structure. In addition, this study emphasizes the relevance of these features to the evolving demands of the industry. The findings conclude that the FOCA approach with LLM provides strategic insights to support the development of ScanMP as a more adaptive and competitive WMS for industrial needs.</dc:description>
	<dc:publisher xml:lang="en-US">Informatics Engineering Department of Halu Oleo University</dc:publisher>
	<dc:date>2025-12-16</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://semantik.uho.ac.id/index.php/journal/article/view/232</dc:identifier>
	<dc:identifier>10.55679/semantik.v11i2.232</dc:identifier>
	<dc:source xml:lang="en-US">SemanTIK : Teknik Informasi; Vol. 11 No. 2 (2025): Vol. 11 No. 2 (2025): SemanTIK Teknik Informasi</dc:source>
	<dc:source>2502-8928</dc:source>
	<dc:source>2460-1446</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://semantik.uho.ac.id/index.php/journal/article/view/232/41</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Razzan Carveyna, Wahyu Andhyka Kusuma</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>