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Jurnal SINTA 3

PENERAPAN METODE WEIGHTED PRODUCT DALAM SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LAPTOP BERBASIS WEB

SemanTIK: Teknik Informasi · Vol. 2 No. 1 (2016)

DOI
10.55679/semantik.v2i1.762
ISSN
2502-8928, 2460-1446
Published
2016-04-18
Publisher
Informatics Engineering Department of Halu Oleo University
Language
eng

Abstract

Lack of knowledge and information of laptop specifications make common people who want to buy a laptop feel confused to decide which laptop that suits their needs. One way to help prospective buyers in order to select a laptop that suits their needs is to build a system with a web-based decision support system Weigthted Product is a method that uses multiplication to connect the attribute value, where the value should be raised to advance with the corresponding attribute weights. Weighted Product (WP) is part of the concept of Multi-Attribute Decision Making (MADM) where normalization is necessary in the calculation. This system requires the input of weighting value based on the needs of prospective buyers in the form of price, RAM capacity, type of processor, hard drive capacity, and Video Grapphics Array (VGA). The result of this research is to give suggestions on laptops based on the specifications described by the perspective buyer with 100% accurate calculations, either manually or within the decision-support system. Keywords— Decision Support System, Laptop Selection, Weighted Product

Collaboration network of the authors

40 authors · 121 co-authorship links · 4 across different organisations · showing the 40 most connected

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

  • Universitas Halu Oleo
  • Institut Teknologi Sepuluh Nopember
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
LM TajidunUniversitas Halu Oleo5
Bambang PramonoUniversitas Halu Oleo5
Jumadil NangiUniversitas Halu Oleo4
LM. Fid AksaraUniversitas Halu Oleo3
Isnawaty IsnawatyAffiliation unknown3
Rahmat RamadhanUniversitas Halu Oleo3
Statiswaty StatiswatyUniversitas Halu Oleo3
Ika Purwanti NingrumUniversitas Halu Oleo3
Nur Fajriah MuchlisUniversitas Halu Oleo2
LM Bahtiar AksaraUniversitas Halu Oleo2
Muh YaminUniversitas Halu Oleo2
Afriyadin AfriyadinAffiliation unknown1
Natalis RansiUniversitas Halu Oleo1
Mulatifa LalihaUniversitas Halu Oleo1
Sari Fatiqah AyuAffiliation unknown1
Rahmayunita RahmayunitaAffiliation unknown1
Nike SyafitriUniversitas Halu Oleo1
Yuwanda Purnamasari PasrunInstitut Teknologi Sepuluh Nopember1
Muh Iskandar Z. AAffiliation unknown1
Resti IdayaniAffiliation unknown1
Ramadhin ZaidUniversitas Halu Oleo1
Adnan HidayatUniversitas Halu Oleo1
Na’firul Hasna AriyaniAffiliation unknown1
Risna RisnaAffiliation unknown1
Sri Wayun WardaniAffiliation unknown1
Mutmainnah MuchtarInstitut Teknologi Sepuluh Nopember1
Annisyah JanuartiAffiliation unknown1
Muhammad HattaAffiliation unknown1
Adha Mashur SajiahUniversitas Halu Oleo1
Chindy Elfiana Suci NatasiyaAffiliation unknown1
Saskia Randawula SilondaeUniversitas Halu Oleo1
Muh FachrulUniversitas Halu Oleo1
Laode Muhamad TajidunUniversitas Halu Oleo1
Agtria Prilika HerniatyAffiliation unknown1
Firmansyah AminUniversitas Halu Oleo1
Armin PesipariAffiliation unknown1
Rizal Adi SaputraUniversitas Halu Oleo1

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://ojs.uho.ac.id/index.php/semantik/oai, first harvested 29 Okt 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">PENERAPAN METODE WEIGHTED PRODUCT  DALAM SISTEM PENDUKUNG KEPUTUSAN  PEMILIHAN LAPTOP BERBASIS WEB</dc:title>
	<dc:creator>Syafitri, Nur Arifah</dc:creator>
	<dc:creator>Sutardi, Sutardi</dc:creator>
	<dc:creator>Dewi, Anita Puspita</dc:creator>
	<dc:description xml:lang="en-US">Lack of knowledge and information of laptop specifications make common people who want to buy a laptop feel confused to decide which laptop that suits their needs. One way to help prospective buyers in order to select a laptop that suits their needs is to build a system with a web-based decision support system Weigthted Product is a method that uses multiplication to connect the attribute value, where the value should be raised to advance with the corresponding attribute weights. Weighted Product (WP) is part of the concept of Multi-Attribute Decision Making (MADM) where normalization is necessary in the calculation. This system requires the input of weighting value based on the needs of prospective buyers in the form of price, RAM capacity, type of processor, hard drive capacity, and Video Grapphics Array (VGA). The result of this research is to give suggestions on laptops based on the specifications described by the perspective buyer with 100% accurate calculations, either manually or within the decision-support system.  Keywords— Decision Support System,  Laptop Selection, Weighted Product </dc:description>
	<dc:publisher xml:lang="en-US">Informatics Engineering Department of Halu Oleo University</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2016-04-18</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://ojs.uho.ac.id/index.php/semantik/article/view/762</dc:identifier>
	<dc:identifier>10.55679/semantik.v2i1.762</dc:identifier>
	<dc:source xml:lang="en-US">SemanTIK : Teknik Informasi; Vol 2, No 1 (2016): semanTIK</dc:source>
	<dc:source>2502-8928</dc:source>
	<dc:source>2460-1446</dc:source>
	<dc:source>10.55679/semantik.v2i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/semantik/article/view/762/528</dc:relation>
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