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Rekomendasi Solusi pada Computer Maintenance Management System Menggunakan Association Rule, Fisher Exact Test One Side P-value dan Double One Side P-Value

Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 4 No. 4 (2017) · pp. 213–220

DOI
10.25126/jtiik.201744368
ISSN
2528-6579, 2355-7699
Published
2017-12-31
Publisher
Fakultas Ilmu Komputer, Universitas Brawijaya
Language
en

Abstract

AbstrakPerkembangan pengambilan keputusan telah semakin cepat dan metode yang digunakan beragam. Sehingga perlu adanya pengambilan keputusan yang tidak hanya cepat tapi juga tepat. Salah satunya yaitu penerapan sistem pendukung keputusan pada Computer Maintenance Management System (CMMS). Penelitian ini melakukan uji data dengan menggunakan Association Rule, Fisher Exact One Side P-Value dan double one side p-value dalam satu permasalahan yang sama pada Computer Maintenance Management System (CMMS). Dengan tujuan mencari pola hubungan antara gejala dan akar permasalahan, untuk membuktikan adanya hubungan kedua variabel. Pada penelitian yang dilakukan sebelumnya (Sukmana, Bulaili) tentang Association Rule dan Pearson Chi-Square pada CMMS menunjukkan adanya beberapa rule yang tereliminasi karena adanya beberapa rule yang tidak masuk dalam kriteria untuk penerapan pada Chi-Square. Sehingga dalam penelitian ini bertujuan menggunakan metode Chi-Square lain dengan maksud membuktikan dan memperkuat adanya hubungan atau relasi antara gejala dan akar permasalahan dalam CMMS. Dan diharapkan pembuktian ini akan menunjukkan hasil lebih baik dalam hal hubungan antara gejala dan akar permasalahannya memiliki korelasi.Kata kunci: Association Rule, Fisher Exact TestAbstractDecision-making has been growth rapidly and many methods can used. Thus, how to apply that methode not only fast but also right. One of implementation decision making is decision support system in Computer Maintenance Management System (CMMS). This research using data test with Association Rule and Fisher Exact One Side P-Value from same problems in Computer Maintenance Management System (CMMS). Object from this research to get pattern of association between symptom and root cause, to prove relation those variable. Previous research (Sukmana, Bulaili) about Association Rule and Pearson Chi-Square in CMMS show some rule was elimanated from calculation, becaise that is rule out of way from criteria in Chi-Square. So this research has objective to use another methode to observe and get strength evidence about correlation between symptom and root cause in CMMS. And hope with this result of test can make strength hypothesis about relation between symptom and root cause. Keywords: Association Rule, Fisher Exact Test

Keywords

Collaboration network of the authors

40 authors · 86 co-authorship links · 13 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.

  • Institut Teknologi Sepuluh Nopember
  • University of Brawijaya
  • Universitas Muhammadiyah Malang
  • Universitas Muhammadiyah Gresik
  • State University of Semarang
  • Institut Ilmu Sosial dan Manajemen STIAMI
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Muhsin MuhsinAffiliation unknown4
Diana PurwitasariInstitut Teknologi Sepuluh Nopember2
Satrio Hadi WijoyoUniversity of Brawijaya2
Septiyan Andika IsantaUniversitas Muhammadiyah Malang2
Niken SubektiState University of Semarang2
Heru SetyantoAffiliation unknown2
Sonika MaulanaAffiliation unknown2
Rifa’atunnisa Rifa’atunnisaAffiliation unknown2
Juhadi JuhadiAffiliation unknown2
Hendi PratamaAffiliation unknown2
Dwi Anggani Linggar BharatiAffiliation unknown2
Abdurrahman FaridiAffiliation unknown2
Joko WidodoAffiliation unknown2
Heri YantoAffiliation unknown2
Rusdarti RusdartiAffiliation unknown2
Chastine FatichahInstitut Teknologi Sepuluh Nopember1
Yufis AzharUniversitas Muhammadiyah Malang1
Admaja Dwi HerlambangUniversity of Brawijaya1
Amelia WidihastutikAffiliation unknown1
Yohana SetyaniAffiliation unknown1
Atun Sri RejekiAffiliation unknown1
Yulianti YuliantiInstitut Ilmu Sosial dan Manajemen STIAMI1
Baruna Rizky PerdanaAffiliation unknown1
Danang Eko SaputroAffiliation unknown1
Puji AstutiAffiliation unknown1
Ali MasyharAffiliation unknown1
Zulfa SakhiyyaAffiliation unknown1
Heru SaputraAffiliation unknown1
Dolendra PaudelAffiliation unknown1
Sugeng RomadhoniAffiliation unknown1
Apriani Kartika SariAffiliation unknown1
Dewanti Citra WijayantiAffiliation unknown1
Eva Dwi LAffiliation unknown1
Nanik SuryaniAffiliation unknown1
Ayuni Tri HaryantiAffiliation unknown1
Nina OktarinaAffiliation unknown1
Ayu Widi PangestiAffiliation unknown1
Eva Nur RahayuAffiliation unknown1

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://jtiik.ub.ac.id/index.php/jtiik/en/oai, first harvested 27 Oct 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="id">Rekomendasi Solusi pada Computer Maintenance Management System Menggunakan Association Rule, Fisher Exact Test One Side P-value dan Double One Side P-Value</dc:title>
	<dc:creator xml:lang="en">Sukmana, Farid</dc:creator>
	<dc:creator xml:lang="en">Rozi, Fahrur</dc:creator>
	<dc:subject xml:lang="en">Association Rule</dc:subject>
	<dc:subject xml:lang="en">Fisher Exact Test</dc:subject>
	<dc:subject xml:lang="id">Association Rule</dc:subject>
	<dc:subject xml:lang="id">Fisher Exact Test</dc:subject>
	<dc:description xml:lang="id">AbstrakPerkembangan pengambilan keputusan telah semakin cepat dan metode yang digunakan beragam. Sehingga perlu adanya pengambilan keputusan yang tidak hanya cepat tapi juga tepat. Salah satunya yaitu penerapan sistem pendukung keputusan pada Computer Maintenance Management System (CMMS). Penelitian ini melakukan uji data dengan menggunakan Association Rule, Fisher Exact One Side P-Value dan double one side p-value dalam satu permasalahan yang sama pada Computer Maintenance Management System (CMMS). Dengan tujuan mencari pola hubungan antara gejala dan akar permasalahan, untuk membuktikan adanya hubungan kedua variabel. Pada penelitian yang dilakukan sebelumnya (Sukmana, Bulaili) tentang Association Rule dan Pearson Chi-Square pada CMMS menunjukkan adanya beberapa rule yang tereliminasi karena adanya beberapa rule yang tidak masuk dalam kriteria untuk penerapan pada Chi-Square. Sehingga dalam penelitian ini bertujuan menggunakan metode Chi-Square lain dengan maksud membuktikan dan memperkuat adanya hubungan atau relasi antara gejala dan akar permasalahan dalam CMMS. Dan diharapkan pembuktian ini akan menunjukkan hasil lebih baik dalam hal hubungan antara gejala dan akar permasalahannya memiliki korelasi.Kata kunci: Association Rule, Fisher Exact TestAbstractDecision-making has been growth rapidly and many methods can used. Thus, how to apply that methode not only fast but also right. One of implementation decision making is decision support system in Computer Maintenance Management System (CMMS). This research using data test with Association Rule and Fisher Exact One Side P-Value from same problems in Computer Maintenance Management System (CMMS). Object from this research to get pattern of association between symptom and root cause, to prove relation those variable. Previous research (Sukmana, Bulaili) about Association Rule and Pearson Chi-Square in CMMS show some rule was elimanated from calculation, becaise that is rule out of way from criteria in Chi-Square. So this research has objective to use another methode to observe and get strength evidence about correlation between symptom and root cause in CMMS. And hope with this result of test can make strength hypothesis about relation between symptom and root cause.          Keywords: Association Rule, Fisher Exact Test</dc:description>
	<dc:publisher xml:lang="en">Fakultas Ilmu Komputer, Universitas Brawijaya</dc:publisher>
	<dc:date>2017-12-31</dc:date>
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	<dc:identifier>https://jtiik.ub.ac.id/index.php/jtiik/article/view/368</dc:identifier>
	<dc:identifier>10.25126/jtiik.201744368</dc:identifier>
	<dc:source xml:lang="id">Jurnal Teknologi Informasi dan Ilmu Komputer; Vol 4 No 4: Desember 2017; 213-220</dc:source>
	<dc:source xml:lang="en">Jurnal Teknologi Informasi dan Ilmu Komputer; Vol. 4 No. 4: Desember 2017; 213-220</dc:source>
	<dc:source>2528-6579</dc:source>
	<dc:source>2355-7699</dc:source>
	<dc:source>10.25126/jtiik.201744</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://jtiik.ub.ac.id/index.php/jtiik/article/view/368/pdf</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2017 Jurnal Teknologi Informasi dan Ilmu Komputer</dc:rights>
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