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DATA REFINEMENT APPROACH FOR ANSWERING WHY-NOT PROBLEM OVER K-MOST PROMISING PRODUCT (K-MPP) QUERIES

JUTI: Jurnal Ilmiah Teknologi Informasi · Vol. 16 No. 2 (2018) · pp. 171–180

DOI
10.12962/j24068535.v16i2.a754
ISSN
2406-8535, 1412-6389
Published
2018-10-09
Publisher
Institut Teknologi Sepuluh Nopember
Language
eng

Abstract

K-Most Promising (K-MPP) product is a strategy for selecting a product that used in the process of determining the most demanded products by consumers. The basic computations used to perform K-MPP are two types of skyline queries: dynamic skyline and reverse skyline. K-MPP selection is done on the application layer, which is the last layer of the OSI model. One of the application layer functions is providing services according to the user's preferences.In the K-MPP implementation, there exists the situation in which the manufacturer may be less satisfied with the query results generated by the database search process (why-not question), so they want to know why the database gives query results that do not match their expectations. For example, manufacturers want to know why a particular data point (unexpected data) appears in the query result set, and why the expected product does not appear as a query result. The next problem is that traditional database systems will not be able to provide data analysis and solution to answer why-not questions preferred by users.To improve the usability of the database system, this study is aiming to answer why-not K-MPP and providing data refinement solutions by considering user feedback, so users can also find out why the result set does not meet their expectations. Moreover, it may help users to understand the result by performing analysis information and data refinement suggestion.

Collaboration network of the authors

23 authors · 33 co-authorship links · 3 across different organisations

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

  • Institut Teknologi Sepuluh Nopember
  • Universitas Dian Nuswantoro
  • Universitas Internasional Semen Indonesia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Royyana Muslim IjtihadieInstitut Teknologi Sepuluh Nopember4
Hendro Eko PrabowoInstitut Teknologi Sepuluh Nopember2
Solichul HudaUniversitas Dian Nuswantoro1
Riyanarto SarnoInstitut Teknologi Sepuluh Nopember1
Rully SoelaimanInstitut Teknologi Sepuluh Nopember1
Esther HanajaInstitut Teknologi Sepuluh Nopember1
Muhammad HolilAffiliation unknown1
Yohanes I. RiskajayaInstitut Teknologi Sepuluh Nopember1
Doni Setio PambudiUniversitas Internasional Semen Indonesia1
Arief PrasetyoInstitut Teknologi Sepuluh Nopember1
Yogi KurniawanInstitut Teknologi Sepuluh Nopember1
Tosca Yoel ConneryInstitut Teknologi Sepuluh Nopember1
Syukron Rifail MuttaqiAffiliation unknown1
Muhammad Fattahilah RangkutyInstitut Teknologi Sepuluh Nopember1
Dino Budi PrakosoInstitut Teknologi Sepuluh Nopember1
Akbar Pandu SegaraInstitut Teknologi Sepuluh Nopember1
Henning Titi CiptaningtyasInstitut Teknologi Sepuluh Nopember1
Hafara FirdausiInstitut Teknologi Sepuluh Nopember1
Rohana QudusInstitut Teknologi Sepuluh Nopember1
Maurice NtahobariInstitut Teknologi Sepuluh Nopember1

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://juti.if.its.ac.id/index.php/juti/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">DATA REFINEMENT APPROACH FOR ANSWERING WHY-NOT PROBLEM OVER K-MOST PROMISING PRODUCT (K-MPP) QUERIES</dc:title>
	<dc:creator xml:lang="en">Permadi, Vynska Amalia</dc:creator>
	<dc:creator xml:lang="en">Ahmad, Tohari</dc:creator>
	<dc:creator xml:lang="en">Santoso, Bagus Jati</dc:creator>
	<dc:description xml:lang="en">K-Most Promising (K-MPP) product is a strategy for selecting a product that used in the process of determining the most demanded products by consumers. The basic computations used to perform K-MPP are two types of skyline queries: dynamic skyline and reverse skyline. K-MPP selection is done on the application layer, which is the last layer of the OSI model. One of the application layer functions is providing services according to the user's preferences.In the K-MPP implementation, there exists the situation in which the manufacturer may be less satisfied with the query results generated by the database search process (why-not question), so they want to know why the database gives query results that do not match their expectations. For example, manufacturers want to know why a particular data point (unexpected data) appears in the query result set, and why the expected product does not appear as a query result. The next problem is that traditional database systems will not be able to provide data analysis and solution to answer why-not questions preferred by users.To improve the usability of the database system, this study is aiming to answer why-not K-MPP and providing data refinement solutions by considering user feedback, so users can also find out why the result set does not meet their expectations. Moreover, it may help users to understand the result by performing analysis information and data refinement suggestion.</dc:description>
	<dc:publisher xml:lang="en">Institut Teknologi Sepuluh Nopember</dc:publisher>
	<dc:date>2018-10-09</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
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	<dc:identifier>https://juti.if.its.ac.id/index.php/juti/article/view/754</dc:identifier>
	<dc:identifier>10.12962/j24068535.v16i2.a754</dc:identifier>
	<dc:source xml:lang="en">JUTI: Jurnal Ilmiah Teknologi Informasi; Vol 16, No. 2, Juli 2018; 171-180</dc:source>
	<dc:source>2406-8535</dc:source>
	<dc:source>1412-6389</dc:source>
	<dc:source>10.12962/j24068535.v16i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://juti.if.its.ac.id/index.php/juti/article/view/754/374</dc:relation>
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