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All Journal Jurnal Teknologi Informasi dan Komunikasi Jurnal Ekonomika dan Bisnis Islam Konstruktivisme : Jurnal Pendidikan dan Pembelajaran
Habibah, Rizki
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Other

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Pengaruh Dimensi Kualitas Pelayanan Dan Nilai Islami Terhadap Minat Anggota Menggunakan Simpanan Haji Dan Umroh Habibah, Rizki; Fahrullah,
Jurnal Ekonomika dan Bisnis Islam Vol 3 No 1 (2020): April
Publisher : Universitas Negeri Surabaya

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Abstract

The high interest of the people of Indonesia to carry out hajj has resulted in a large number of persons who use these conditions to seek profits in an illegal way. Therefore this study aims to determine whether there is an influence between the dimensions and Islamic values on the interests of members using Hajj and Umrah savings. This research is a quantitative study using a descriptive approach that is measured with a Likert scale and analyzed by SPSS version 20 application. The results show that the dimensions of service quality and Islamic values have a relationship with the interests of members using Hajj and Umrah savings.
Penerapan Pembelajaran Pictory AI untuk Meningkatkan Keterampilan Menyimak Kelas IV SDN Kembangkuning Wijayanti, Dian; Supriyadi, Rahma Hofifah; Ratnaningsih, Arum; Habibah, Rizki
Konstruktivisme : Jurnal Pendidikan dan Pembelajaran Vol 17 No 1 (2025): Januari 2025
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/konstruk.v17i1.4136

Abstract

Kurangnya minat siswa saat menyimak materi tanpa media sering kali menyebabkan kesulitan mereka dalam menyimpan informasi yang didengar. Banyak siswa kehilangan konsentrasi selama kegiatan menyimak, yang pada gilirannya merugikan kemampuan mereka untuk menyerap informasi dengan baik. Salah satu solusi untuk mengatasi masalah ini adalah dengan memanfaatkan media pembelajaran elektronik dalam proses belajar mengajar. Penelitian ini bertujuan untuk mengeksplorasi penerapan dan efektivitas keterampilan menyimak menggunakan Pictory AI. Metode yang digunakan dalam penelitian ini adalah Penelitian Tindakan Kelas dengan desain Spiral yang dikembangkan oleh Kemmis dan McTaggart. Hasil penelitian menunjukkan peningkatan keterampilan menyimak siswa, yang terlihat dari analisis data yang menunjukkan perbaikan nilai keterampilan menyimak mereka. Pada tahap pratindakan, rata-rata nilai kemampuan menyimak siswa berada di angka 64,5, dan setelah penerapan media Pictory AI pada siklus II, nilai rata-rata meningkat menjadi 82. Berdasarkan hasil penelitian ini, dapat disimpulkan bahwa penggunaan Pictory AI dalam pembelajaran menyimak efektif dalam meningkatkan keterampilan menyimak siswa kelas IV SDN Kembangkuning.
PENERAPAN DATA MINING UNTUK SEGMENTASI MENU KOPI BERDASARKAN KARAKTERISTIK PEMINAT MENGGUNAKAN ALGORITMA K-MEANS Habibah, Rizki; Siregar, Hikmah Aldinar; Hasibuan, Ade Lestari; Listia, Yolanda; Rahmansyah, Aldi; Sagala, M. Idris
Jurnal Teknologi Informasi dan Komunikasi Vol 19 No 1 (2026): April
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/jtik.v19i1.360

Abstract

The growth of coffee menu variations requires business owners to understand consumer interest characteristics in a structured manner, while menu data and consumer preference information are often not fully utilized in decision making. This study aims to segment coffee menus based on consumer-interest characteristics using a data-mining approach. The method applied is clustering using the K-Means algorithm implemented in the Orange Data Mining software, with two main attributes: price and interest category. The analysis process includes data preprocessing, determining the optimal number of clusters, and evaluating cluster quality using the silhouette coefficient. The results show that the K-Means algorithm successfully groups coffee menus into three clusters with distinct price ranges and consumer-interest characteristics. The evaluation yields a silhouette coefficient of 0.725, indicating a strong cluster structure with clear separation between groups. Visualization of the clustering results reveals three main segments: an economical cluster characterized by low prices and high consumer interest, a middle cluster with moderate prices and varying levels of interest, and a premium cluster with high prices and consistently strong consumer interest. These segmentation results provide a clear representation of consumer preference patterns and support decision making in product planning and pricing strategies for coffee businesses.
Co-Authors Arum Ratnaningsih Dian Wijayanti Fahrullah, Hasibuan, Ade Lestari Listia, Yolanda Rahmansyah, Aldi Sagala, M. Idris Siregar, Hikmah Aldinar Supriyadi, Rahma Hofifah