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Evaluasi Berbasis Kriteria untuk Kesusksesan Implementasi Sistem Informasi Kesehatan Berdasarkan Delone and Mclean Model

Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 6 No. 3 (2019) · pp. 315–320

DOI
10.25126/jtiik.2019631321
ISSN
2528-6579, 2355-7699
Published
2019-05-09
Publisher
Fakultas Ilmu Komputer, Universitas Brawijaya
Language
id

Abstract

Penelitian bertujuan untuk mengevaluasi kesuksesan implementasi sistem informasi kesehatan (Homedika.com). Pengukuran dilakukan berdasarkan DeLone & McLean Model. Pengumpulan data dilakukan melalui kuesioner yang telah lolos uji validitas dan reliabilitas. Sampel penelitian berjumlah 30 responden yang dipilih dengan menggunakan teknik purposive sampling dan data dianalisis dengan statistik jenis deskriptif. Hasil analisis kesuksesan pada variabel system quality, information quality, service quality, user satisfaction, dan net benefits masuk ke dalam kategori Tinggi, dan variabel use masuk ke dalam kategori Cukup Tinggi. Kesuksesan implementasi sistem informasi kesehatan dapat ditingkatkan dengan cara melakukan perbaika pada variabel use dengan indikator frequency of use.AbstractThe study aims to evaluate the success of health information systems (Homedika.com) implementation. Measurements are carried out based on DeLone & McLean Model. Data collection was done through questionnaire that had passed the validity and reliability test. The research sample consisted of 30 respondents who were selected using purposive sampling technique and ata were analyzed using descriptive statistics formula. The results of success analysis in the system quality, information quality, service quality, user satisfaction, and net benefits variable categorized as High, and use variable categorized as Quite High. The success of the implementation of health information systems can be improved by improving the use variable with frequency of use indicator.

Collaboration network of the authors

40 authors · 88 co-authorship links · 11 across different organisations · showing the 40 most connected

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  • University of Brawijaya
  • Institut Teknologi Sepuluh Nopember
  • Universitas Muhammadiyah Malang
  • Politeknik Negeri Malang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Satrio Agung WicaksonoUniversity of Brawijaya5
Yusi Tyroni MursityoUniversity of Brawijaya4
Faizatul AmaliaUniversity of Brawijaya4
Fahrur RoziInstitut Teknologi Sepuluh Nopember3
Septiyan Andika IsantaUniversitas Muhammadiyah Malang3
Mochamad Chandra SaputraUniversity of Brawijaya3
Kartika UtamiUniversity of Brawijaya2
Rahmana Ilmi HakimUniversity of Brawijaya2
Nurur RohmahUniversity of Brawijaya2
Azri Putri RahmatikaUniversity of Brawijaya2
Dinar Indah Dwi UtamiUniversity of Brawijaya2
Safira Widya HapsariUniversity of Brawijaya2
Muhammad Rosyid MubarokUniversity of Brawijaya2
Meilita Dwi AryatiUniversity of Brawijaya2
Diana PurwitasariInstitut Teknologi Sepuluh Nopember1
Yufis AzharUniversitas Muhammadiyah Malang1
Fitra Abdurrachman BachtiarUniversity of Brawijaya1
Fajar PradanaUniversity of Brawijaya1
Wahyu Nur HidayatPoliteknik Negeri Malang1
Raden Arief SetyawanUniversity of Brawijaya1
Issa ArwaniUniversity of Brawijaya1
Ridho FadhlurrahmanUniversity of Brawijaya1
Savira FahrunisaUniversity of Brawijaya1
Audi Kresna FathurinoUniversity of Brawijaya1
Anisah IkhsawiyanthiUniversity of Brawijaya1
Pratama ApriliantoUniversity of Brawijaya1
Hanifah Muslimah Az-ZahraUniversity of Brawijaya1
Alfansya Achmad MulyadiUniversity of Brawijaya1
Azka AzkiyahUniversity of Brawijaya1
Allisa MajidUniversity of Brawijaya1
Ahmad Afif SupiantoUniversity of Brawijaya1
Abdul Harris WicaksonoUniversity of Brawijaya1
Dian Eka RatnawatiUniversity of Brawijaya1
Fajar Agung NugrohoAffiliation unknown1
Admaja Dwi HerlambangAffiliation unknown1
Erlina Eka SasmitaAffiliation 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 Okt 2026, last seen 27 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="id">Evaluasi Berbasis Kriteria untuk Kesusksesan Implementasi Sistem Informasi Kesehatan Berdasarkan Delone and Mclean Model</dc:title>
	<dc:creator xml:lang="id">Herlambang, Admaja Dwi</dc:creator>
	<dc:creator xml:lang="id">Wijoyo, Satrio Hadi</dc:creator>
	<dc:creator xml:lang="id">Rachmadi, Aditya</dc:creator>
	<dc:creator xml:lang="id">Alimah, Cindy Felita Nur</dc:creator>
	<dc:description xml:lang="id">Penelitian bertujuan untuk mengevaluasi kesuksesan implementasi sistem informasi kesehatan (Homedika.com). Pengukuran dilakukan berdasarkan DeLone &amp;amp; McLean Model. Pengumpulan data dilakukan melalui kuesioner yang telah lolos uji validitas dan reliabilitas. Sampel penelitian berjumlah 30 responden yang dipilih dengan menggunakan teknik purposive sampling dan data dianalisis dengan statistik jenis deskriptif. Hasil analisis kesuksesan pada variabel system quality, information quality, service quality, user satisfaction, dan net benefits masuk ke dalam kategori Tinggi, dan variabel use masuk ke dalam kategori Cukup Tinggi. Kesuksesan implementasi sistem informasi kesehatan dapat ditingkatkan dengan cara melakukan perbaika pada variabel use dengan indikator frequency of use.AbstractThe study aims to evaluate the success of health information systems (Homedika.com) implementation. Measurements are carried out based on DeLone &amp;amp; McLean Model. Data collection was done through  questionnaire that had passed the validity and reliability test. The research sample consisted of 30 respondents who were selected using purposive sampling technique and ata were analyzed using descriptive statistics formula. The results of success analysis in the system quality, information quality, service quality, user satisfaction, and net benefits variable categorized as High, and use variable categorized as Quite High. The success of the implementation of health information systems can be improved by improving the use variable with frequency of use indicator.</dc:description>
	<dc:publisher xml:lang="en">Fakultas Ilmu Komputer, Universitas Brawijaya</dc:publisher>
	<dc:date>2019-05-09</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://jtiik.ub.ac.id/index.php/jtiik/article/view/1321</dc:identifier>
	<dc:identifier>10.25126/jtiik.2019631321</dc:identifier>
	<dc:source xml:lang="id">Jurnal Teknologi Informasi dan Ilmu Komputer; Vol 6 No 3: Juni 2019; 315-320</dc:source>
	<dc:source xml:lang="en">Jurnal Teknologi Informasi dan Ilmu Komputer; Vol. 6 No. 3: Juni 2019; 315-320</dc:source>
	<dc:source>2528-6579</dc:source>
	<dc:source>2355-7699</dc:source>
	<dc:source>10.25126/jtiik.201963</dc:source>
	<dc:language>id</dc:language>
	<dc:relation>https://jtiik.ub.ac.id/index.php/jtiik/article/view/1321/pdf</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2019 Jurnal Teknologi Informasi dan Ilmu Komputer</dc:rights>
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