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All Journal EDUMATIC: Jurnal Pendidikan Informatika Jurnal Sistem Komputer dan Informatika (JSON)
Andri Setiawan, Mukhammad
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Computer Science & IT Control & Systems Engineering Education

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Analisis Customer Loyalty dan Customer Satisfaction dalam Penggunaan Aplikasi Dana melalui Digital Customer Experience Wiranto, Heri; Teduh Dirgahayu, Raden; Andri Setiawan, Mukhammad
Jurnal Pendidikan Informatika (EDUMATIC) Vol 8 No 2 (2024): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v8i2.27208

Abstract

A good digital experience enhances customer loyalty and satisfaction, encouraging repeat usage and recommendations. However, the impact of customer experience on loyalty and satisfaction is often overlooked. This study aims to examine the effects of digital experience on customer loyalty and satisfaction in the DANA digital wallet. The study employs a quantitative method with Rank Spearman analysis, where Customer Experience serves as the independent variable, and Customer Loyalty and Customer Satisfaction are the dependent variables. Data was collected through a Google Form questionnaire using a Likert scale, with 100 respondents meeting the criteria of having used the DANA application for at least five months and having completed at least ten transactions with a minimum top-up of IDR 100,000. Our findings indicate that the digital customer experience on DANA has a significantly positive impact on both customer loyalty and customer satisfaction, which are closely related. Customer satisfaction substantially influences customer loyalty, confirming the strong relationship between the two. This suggests that a positive digital experience on the DANA platform not only increases satisfaction but also strengthens customer loyalty, which is crucial for long-term business success.
Evaluasi Multi-Expert terhadap Sistem Rekomendasi Diet Non-Klinis Berbasis Generative AI mukafasyadiah, Diena; Andri Setiawan, Mukhammad
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 3 (2026): Maret 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i3.9587

Abstract

Pemantauan konsumsi makanan dan analisis nutrisi secara mandiri masih menjadi tantangan karena keterbatasan pemahaman gizi serta kurangnya sistem yang mampu memberikan rekomendasi diet yang personal. Penelitian ini bertujuan mengembangkan sistem analisis nutrisi dan rekomendasi diet non-klinis berbasis Generative AI untuk mendukung edukasi gizi melalui integrasi data profil pengguna, konsumsi makanan, dan referensi nutrisi. Sistem dikembangkan menggunakan metode Design Science Research (DSR) dan dievaluasi melalui pendekatan multi-expert yang melibatkan lima ahli gizi dengan 19 indikator penilaian. Hasil evaluasi menunjukkan nilai rata-rata 4,56 yang berada pada kategori baik hingga sangat baik, menunjukkan bahwa sistem mampu menghasilkan analisis nutrisi yang informatif dan relevan sebagai alat bantu edukasi nutrisi non-klinis. Penelitian ini berkontribusi pada integrasi analisis konsumsi berbasis citra makanan, referensi Tabel Komposisi Pangan Indonesia (TKPI), dan Generative AI dalam satu sistem terpadu yang divalidasi melalui evaluasi multi-expert.
Co-Authors Mukafasyadiah, Diena Teduh Dirgahayu, Raden Wiranto, Heri