Melola Discovery

← Melola Discovery

Open access Jurnal SINTA 3

Analisis Ketersediaan Stok Mata Uang Asing Terhadap Volume Kebutuhan Konsumen Menggunakan Metode K-Means: Studi Kasus: PT. Haji La Tunrung AMC Kota Makassar

SemanTIK: Teknik Informasi · Vol. 11 No. 1 (2025)

DOI
10.55679/semantik.v11i1.104
ISSN
2502-8928, 2460-1446
Published
2025-06-19
Publisher
Informatics Engineering Department of Halu Oleo University
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Penelitian ini bertujuan untuk menganalisis ketersediaan stok mata uang asing pada cabang PT. Haji La Tunrung AMC terhadap volume kebutuhan konsumen menggunakan metode K-Means. Penelitian didasarkan pada banyaknya kebutuhan mata uang asing untuk penukaran sehingga ada kelebihan dan kekurangan stok mata uang asing yang mengakibatkan penumpukan stok. Diperlukannya analisis data besar atas ketersedian stok mata uang asing secara cepat dan akurat dalam memenuhi permintaan mata uang asing yang dibutuhkan. Peneliti menggunakan data primer dari PT Haji La Tunrung AMC periode 2019-2023 dengan akumulasi data terhadap penjualan 352.990 mata uang asing dan data sekunder dari literatur. Terdapat hasil 5 klaster adalah yang terbaik berdasarkan Elbow Method dengan DBI terendah (0.2922) dan Silhouette Score tinggi (0.7913). Hasil ini menunjukan juga mata uang mana saja yang direkomendasi dengan skala preoritas sesuai kebutuhan stok, Cluster 0: "Kategori Tinggi" Cluster 1: "Kategori Menengah Tinggi" Cluster 2: "Kategori Menengah" Cluster 3: "Kategori Menengah Rendah" Cluster 4: "Kategori Rendah". This study aims to analyze the Availability of Foreign Currency Stock at PT. Haji La Tunrung AMC Branch Against the Volume of Consumer Needs Using the K-Means Method. The study is based on the large amount of foreign currency in circulation for exchange so that there is an excess and shortage of foreign currency stock which results in accumulation. It is necessary to analyze big data on the availability of Foreign Currency Stock quickly and accurately in meeting the demand for foreign currency needed. The researcher used primary data from PT Haji La Tunrung AMC for the period 2019-2023 with accumulated data on sales of 352,990 and secondary data from the literature. 5 clusters are the best based on the Elbow Method with the lowest DBI (0.2922) and high Silhouette Score (0.7913). These results also show which currencies are recommended with a priority scale according to stock needs, Cluster 0: "High Category" Cluster 1: "High Medium Category" Cluster 2: "Middle Category" Cluster 3: "Low Medium Category" Cluster 4: "Low Category".

Collaboration network of the authors

3 authors · 3 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Handayani Makassar
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles

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) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Analisis Ketersediaan Stok Mata Uang Asing Terhadap  Volume Kebutuhan Konsumen Menggunakan Metode K-Means: Studi Kasus :  PT. Haji La Tunrung AMC Kota Makassar </dc:title>
	<dc:creator>Fuad, Muhammad</dc:creator>
	<dc:creator>Mashur Razak</dc:creator>
	<dc:creator>Imran Taufik</dc:creator>
	<dc:description xml:lang="en-US">Penelitian ini bertujuan untuk menganalisis ketersediaan stok mata uang asing pada cabang PT. Haji La Tunrung AMC terhadap volume kebutuhan konsumen menggunakan metode K-Means. Penelitian didasarkan pada banyaknya kebutuhan mata uang asing untuk penukaran sehingga ada kelebihan dan kekurangan stok mata uang asing yang mengakibatkan penumpukan stok. Diperlukannya analisis data besar atas  ketersedian stok mata uang asing secara cepat dan akurat dalam memenuhi permintaan mata uang asing yang dibutuhkan. Peneliti menggunakan data primer dari PT Haji La Tunrung AMC periode 2019-2023  dengan akumulasi data terhadap penjualan 352.990 mata uang asing dan data sekunder dari literatur.  Terdapat hasil 5 klaster adalah yang terbaik berdasarkan Elbow Method dengan DBI terendah (0.2922) dan Silhouette Score tinggi (0.7913). Hasil ini menunjukan juga mata uang mana saja yang direkomendasi dengan skala preoritas sesuai kebutuhan stok, Cluster 0: "Kategori Tinggi" Cluster 1: "Kategori Menengah Tinggi" Cluster 2: "Kategori Menengah" Cluster 3: "Kategori Menengah Rendah" Cluster 4: "Kategori Rendah".
This study aims to analyze the Availability of Foreign Currency Stock at PT. Haji La Tunrung AMC Branch Against the Volume of Consumer Needs Using the K-Means Method. The study is based on the large amount of foreign currency in circulation for exchange so that there is an excess and shortage of foreign currency stock which results in accumulation. It is necessary to analyze big data on the availability of Foreign Currency Stock quickly and accurately in meeting the demand for foreign currency needed. The researcher used primary data from PT Haji La Tunrung AMC for the period 2019-2023 with accumulated data on sales of 352,990 and secondary data from the literature. 5 clusters are the best based on the Elbow Method with the lowest DBI (0.2922) and high Silhouette Score (0.7913). These results also show which currencies are recommended with a priority scale according to stock needs, Cluster 0: "High Category" Cluster 1: "High Medium Category" Cluster 2: "Middle Category" Cluster 3: "Low Medium Category" Cluster 4: "Low Category".</dc:description>
	<dc:publisher xml:lang="en-US">Informatics Engineering Department of Halu Oleo University</dc:publisher>
	<dc:date>2025-06-19</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/104</dc:identifier>
	<dc:identifier>10.55679/semantik.v11i1.104</dc:identifier>
	<dc:source xml:lang="en-US">SemanTIK : Teknik Informasi; Vol. 11 No. 1 (2025): Vol. 11 No. 1 (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/104/24</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Muhammad Fuad Fuad, Mashur Razak, Imran Taufik</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>