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All Journal Zonasi: Jurnal Sistem Informasi JURNAL KARYA ILMIAH MULTIDISIPLIN
Syahtriatna Syahtriatna
Universitas Lancang kuning
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Environmental Science Languange, Linguistic, Communication & Media Other

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Analisis Kesuksesan Sistem Informasi Website Kecamatan Rumbai Menggunakan Model Delone and Mclean Selvi Anggraini; Elvira Asril*; Syahtriatna Syahtriatna
Jurnal Karya Ilmiah Multidisiplin (JURKIM) Vol. 3 No. 2 (2023): Jurnal Karya Ilmiah Multidisiplin (Jurkim)
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (900.039 KB) | DOI: 10.31849/jurkim.v3i2.14532

Abstract

The Rumbai District official website, which has been in use since 2021, still has problems with the confirmation waiting time which is quite long and the community still has to come back to check the required files. The Rumbai District official website is also still static, because there is no interactive menu facility as a form of service to the community. For this reason, it is necessary to measure the success of the Rumbai sub-district official website in terms of system quality, information quality, service quality, use, user satisfaction and benefits and find out what influences the success of the Rumbai sub-district website through the Delone and Mclean models. This is one of the strategies in developing e-government systematically through realistic and measurable stages. In addition, it can provide recommendations to the Rumbai sub-district office, especially the website development team to improve and provide optimal service according to the needs of the Rumbai sub-district community and can increase employee time efficiency in providing services to the community. With the Delone and Mclean model, quality measurements have been carried out from the Rumbai District official website, using 6 variables and 17 indicators. The results obtained are the percentage of success of the Rumbai District official website which is at a success rate of 78.5% and is declared in the "Success" category.
KLASTERISASI TINGKAT KEPEDULIAN MASYARAKAT KOTA PEKANBARU TERHADAP BENCANA KEBAKARAN DENGAN METODE K-MEANS DAN K-MEDOIDS Yogi Ersan Fadrial; Yogi Yunefri; Sutejo Sutejo; Fajrizal Fajrizal; Syahtriatna Syahtriatna
ZONAsi: Jurnal Sistem Informasi Vol. 7 No. 1 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Januari 2025
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v7i1.22615

Abstract

Penelitian ini bertujuan untuk melakukan klusterisasi tingkat kepedulian masyarakat Kota Pekanbaru terhadap bencana kebakaran menggunakan metode K-Means dan K-Medoids. Metode klusterisasi ini diterapkan untuk mengelompokkan masyarakat berdasarkan tingkat kepedulian mereka terhadap bencana kebakaran, sehingga dapat membantu dalam perencanaan penanganan dan mitigasi bencana. Dalam penelitian ini, data mining clustering digunakan untuk menganalisis pola kepedulian masyarakat dengan memanfaatkan tools Google Colaboratory. Hasil dari penelitian ini diharapkan dapat memberikan gambaran yang lebih jelas tentang kelompok-kelompok masyarakat yang memiliki tingkat kepedulian berbeda terhadap bencana kebakaran di Kota Pekanbaru.
Co-Authors Elvira Asril, Elvira Fajrizal Fajrizal, Fajrizal Selvi Anggraini Sutejo Sutejo Yogi Ersan Fadrial Yogi Yunefri, Yogi