Article Per Year (5 Year)
p-Index From 2020 - 2025
3.558
P-Index
This Author published in this journals
All Journal Jurnal Pengolahan dan Bioteknologi Hasil Perikanan Lembaran Ilmu Kependidikan JIM UPB (Jurnal Ilmiah Manajemen Universitas Putera Batam) Journal of Tropical Crop Science English Language Teaching Educational Journal Jurnal Ilmiah Edunomika (JIE) International Journal of Economics Development Research (IJEDR) Jurnal Ekonomi Dan Bisnis SOLUSI Indonesian Journal of Educational Assesment Jurnal Mandiri IT SASKARA: Indonesian Journal of Society Studies ALLURE JOURNAL HEUTAGOGIA: Journal of Islamic Education Journal Economic Insights Journal of Artificial Intelligence and Digital Business Jurnal Pelita Pengabdian Journal of Environment and Sustainability Education Jurnal Abdimas Ekonomi Terapan Asmara
Cahyo, Septian Dwi
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics Social Sciences Other

Published : 26 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Artificial Intelligence and Digital Business

 1 
Penerapan Metode Regresi Linier untuk Prediksi Jumlah Penumpang Kereta Api Cahyo, Septian Dwi; Murtopo, Aang Alim; Santoso, Bayu Aji
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2061

Abstract

Transportasi kereta api memainkan peran penting dalam mobilitas masyarakat, namun perencanaan kapasitas yang tidak akurat sering menyebabkan inefisiensi operasional. Penelitian ini bertujuan untuk memprediksi jumlah penumpang kereta api pada masing-masing kelas layanan menggunakan metode regresi linier sederhana. Metode yang digunakan adalah pendekatan kuantitatif deskriptif-prediktif, dengan data sekunder dari PPID PT KAI tahun 2022–2024, dianalisis menggunakan Excel dan Python. Hasil penelitian menunjukkan bahwa model regresi linier mampu menangkap tren peningkatan jumlah penumpang pada hampir semua kelas layanan selama tahun 2025, dengan akurasi tertinggi pada kelas Lokal Eksekutif (MAE: 5.309) dan kesalahan terbesar pada kelas Ekonomi (MAE: 117.010), karena perbedaan volume penumpang yang signifikan. Implikasi dari penelitian ini menunjukkan bahwa pendekatan prediksi berdasarkan kelas layanan memberikan hasil yang lebih terperinci dan dapat digunakan sebagai acuan dalam perencanaan operasional yang berbasis data, serta membuka peluang pengembangan model dengan pendekatan machine learning yang lebih kompleks di masa mendatang.
Pengaruh Brand Experience dan Trust Terhadap Customer Satisfaction dengan Mediasi Brand Love Cahyo, Septian Dwi; Maziyah, Siti; Patmasari, Eka Kurnia
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2046

Abstract

This study aims to examine the influence of brand experience and brand trust on customer satisfaction with brand love as a mediating variable. The case study focuses on users of MS Glow at Store Sinok Ayu, Kendal. A quantitative method was employed with data collected through online questionnaires from 118 respondents. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) via WarpPLS 8.0. Seven hypotheses were tested to assess both direct and mediated effects. The results reveal that brand experience, brand trust, and brand love have a positive and significant effect on customer satisfaction. Furthermore, brand love is found to significantly mediate the relationship between brand experience and customer satisfaction, as well as between brand trust and customer satisfaction. This study is limited to a single local skincare brand (MS Glow) and one geographic location, which may limit the generalizability of the findings. The findings suggest that companies should enhance brand experience and trust to foster emotional connections, thereby increasing customer satisfaction. This research enriches the literature by positioning brand love as a mediating variable, offering insights into the emotional and cognitive mechanisms driving customer satisfaction in the skincare industry.
Co-Authors - Sumardianto A.A. Ketut Agung Cahyawan W Aang Alim Murtopo Adlawan, Hendely A. Al Fariz, Arif Budiman Ani Kurniawati Anthonios, Rich Edrick Astuti, Fitria Yuni Azizi, Muhammad Arrizky Adhita Bactiar, Dwi Dicky Bali, Ika Bangkara, B.M.A.S Anaconda Cahyani, Dhea Indah Damaris, Lucia Deviani, Nadya Dewi, Adhisty Kartika Dewiki, Santi Eka Kurnia Patmasari Gunawan Gunawan Imtiyaz Farras Mufidah Kaswandi, Carolus Khasanah, Ramadhani Uswatun Kuwatno Lestari, Citra Ayu Lestari, Ika Anggun Mahfud Nugroho Marlon R. Astillero Miftahul Fikri Mohamad Saufi Che Rusuli Mubarok, Ahmad Shofi Munif Ghulamahdi Nawa, Victoria Astra Nurdiansyah, Aulia Nurhaliza, Mira Nurmalasari, Auliya NURUL ANNISA Nurul Fadilah, Nurul Pambudi, Sulistyo Patmasari, Eka Kurnia Pratiwi, Widya Ayu Rikayana, Askha Egyta Santoso, Bayu Aji Saraya, Sitta Sari, Vincentia Indah Puspita Sarif Surorejo Shalsabilla, Aura Sihono Sihono Siti Maziyah Soedirgo, Farel Danto Sri Supriyati Sucipto Sucipto Sukardi, Rendi Restiana Tri Winarni Agustini Utami, Herwati Dwi Wahid Nugroho Wijayanti, Mia Yeni Yuniarti, Yeni Zayadi, Nur Hidayah Binti