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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) J-CEKI
Lintang Yuniar Banowosari
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Evaluating the Bibit App: The HEART Framework Approach in UX Design Setya Perdana, Dandi; Lintang Yuniar Banowosari
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 2 (2024): April 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i2.5714

Abstract

With the rise of investment applications like Bibit in Indonesia, evaluating user experience is crucial to improve user engagement and satisfaction. This study aims to assess the user experience of the Bibit app using the HEART framework to identify areas for improvement. A descriptive survey was conducted using the Slovin method to determine a sample size of approximately 100 people. The study used a questionnaire distributed through Google Forms that measures the five aspects of the HEART framework on a Likert scale. Data were analyzed for validity and reliability using IBM SPSS and stored in Google Spreadsheets. In general, the Bibit app demonstrated high satisfaction, engagement, adoption, retention, and task success among its users, with most categories scoring above the 80% target. However, specific areas, particularly Happiness 2, Adoption 1, Retention 1, and Task Success 3, require further development attention. The Bibit app provides a generally satisfying user experience, with significant potential for improvement in navigation tooltips, investment product development, and app speed and efficiency.
Pengelompokan Negara Mitra Dagang Strategis Indonesia Berdasarkan Perkembangan Ekspor Non-Migas Menurut Negara Tujuan Menggunakan Algoritma K-Medois dan Algoritma DBCSAN Nensy Enlanda Putri Pratama; Lintang Yuniar Banowosari
J-CEKI : Jurnal Cendekia Ilmiah Vol. 5 No. 2: Februari 2026
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v5i2.15039

Abstract

Berdasarkan data ekspor non-migas tahun 2019-2023, penelitian ini bertujuan untuk mengidentifikasi pola dan karakteristik pengelompokan negara mitra dagang strategis Indonesia. Metode clustering menggunakan perbandingan algoritma K-Medoids dan DBSCAN. Data sekunder diambil dari situs web Kementerian Perdagangan Republik Indonesia, yang berfokus pada atribut negara tujuan, tahun, dan nilai ekspor. Algoritma K-Medoids menggunakan metode partisi dengan medoid sebagai pusat cluster, sedangkan DBSCAN berbasis kepadatan mendeteksi cluster dan outlier. Hasil divalidasi dengan metode elbow untuk menentukan nilai cluster optimal dan Silhouette Coefficient untuk mengukur kinerja kedua metode, dan menghasilkan 2 cluster untuk Algoritma K-Medoids, sedangkan Algoritma DBSCAN menghasilkan 9 cluster dan 1 cluster dengan label "-1" mewakili noise points. Diharapkan bahwa hasil penelitian akan memberikan wawasan strategis untuk proses pengambilan keputusan dalam perdagangan internasional, khususnya untuk mendorong ekspor non-migas Indonesia menjadi lebih besar.
Co-Authors Nensy Enlanda Putri Pratama Setya Perdana, Dandi