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Pelatihan Penggunaan Sistem Presensi Fingerprint untuk Guru SMK Cahaya Islam Pulosari Kabupaten Pemalang Nurfaizah Nurfaizah; Wisnu Mu’amar
Jurnal Pengabdian kepada Masyarakat Vol 2 No 3 (2025)
Publisher : PT. Edutech Inovatif Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64109/xgsm5j82

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan efisiensi dan akurasi sistem kehadiran guru di SMK Cahaya Islam Pulosari Kabupaten Pemalang melalui penerapan teknologi fingerprint. Sebelumnya, sekolah masih menggunakan sistem presensi manual yang memakan waktu, rawan kesalahan, serta kurang efisien dalam rekapitulasi data. Kegiatan ini dilaksanakan dengan metode pelatihan dan pendampingan langsung kepada guru dalam penggunaan alat presensi berbasis sidik jari. Tim pengabdian dari Universitas Amikom Purwokerto memberikan pelatihan teknis meliputi instalasi alat, registrasi pengguna, dan cara membaca hasil presensi digital. Hasil kegiatan menunjukkan peningkatan signifikan dalam efisiensi waktu pencatatan kehadiran, kemampuan guru dalam mengoperasikan sistem, dan kedisiplinan kehadiran. Pelatihan ini juga mendorong literasi digital guru dan mendukung transformasi tata kelola administrasi berbasis teknologi di sekolah.
Clustering Customer Data Using Fuzzy C-Means Algorithm Nurfaizah Nurfaizah; Fathuzaen Fathuzaen
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 9 No. 1 (2021): Maret 2021
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v9i1.2359

Abstract

The pattern of the service industry is influenced mostly by economic growth. When economic growth rises, the economic activity will also grow as in the case of insurance activities. One of the assets owned by an insurance company is the customer, hence the existence of a loyal or potential customer should be maintained by the insurance company. This study focuses on clustering or grouping the existing customer data in insurance companies using the Fuzzy C-Means (FCM) algorithm. This study uses data from the company for analysis and the results can be used as a basis for insurance companies in making decisions, especially those related to further insurance marketing to customers who have participated in insurance or who are still actively registered in payment insurance. Fuzzy C-Means can be used for clustering the customer datasets. It obtained 3 clustering results using Partition Coefficient (PC) in determining the validity index and the centers value was ranged from 0.5 to 1.0.
User Satisfaction Analysis of Online Public Access Catalog Using End User Computing Satisfaction Method Dista Trianisfi; Nurfaizah Nurfaizah; Eka Tripustikasari
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 9 No. 1 (2021): Maret 2021
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v9i1.2493

Abstract

Libraries are organizations with the activities of collecting, processing, disseminating, preserving, and presenting information that in which the Online Public Access Catalog (OPAC) have been widely adopted. However, the analysis of OPAC satisfaction is still rare. This study discusses the analysis of user satisfaction of OPAC. This study aims to determine the effect of content dimensions, accuracy, format, ease of use, and timeliness using the End User Computing Satisfaction (EUCS) method, a method for measuring the level of user satisfaction of a system. SPSS software was used to analyze user satisfaction. Sig. value of the content variable is greater than 0.1 (0.667), hence the hypothesis zero (H0) is accepted. It means that the content variable has no effect on user satisfaction. Sig. value for the accuracy variable is less than 0.1 (0.009), hence the H0 is rejected. Therefore, the accuracy variable has an effect on user satisfaction. Sig. value of the format variable is less than 0.1 (0.054), hence H0 was rejected, implying that the format variable has an effect on user satisfaction. Sig. value of the ease of use variable is greater than 0.1 (0.700), hence H0 is accepted, meaning that the ease of use variable has no effect on user satisfaction. Sig. value of the timeliness variable was 0.120 (> 0.1), hence H0 is accepted. Therefore, the timeliness variable has no effect on user satisfaction.