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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Manajemen STIE Muhammadiyah Palopo JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi) Jurnal Riset Informatika EKUITAS (Jurnal Ekonomi dan Keuangan) Literatus Cakrawala Repositori Imwi Jurnal Ekonomi Jurnal Locus Penelitian dan Pengabdian Jurnal Terapan Ilmu Manajemen dan Bisnis (JTIMB) Jurnal Indonesia Sosial Teknologi Klabat Accounting Review Klabat Journal of Management JER
Fanny Soewignyo
Fakultas Ekonomi Dan Bisnis, Universitas Klabat, Airmadidi, Indonesia
Aerospace Engineering Humanities Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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EXPLORING THE NEXUS BETWEEN SERVICE QUALITY, PATIENT SATISFACTION, AND RECOMMENDATION INTENTIONS IN FAITH-BASED HOSPITAL SETTINGS Ayu Christa Pratiwi Inaray; Fanny Soewignyo; Elvis R Sumanti; Deske W Mandagi
EKUITAS (Jurnal Ekonomi dan Keuangan) Vol 8 No 3 (2024): September
Publisher : Sekolah Tinggi Ilmu Ekonomi Indonesia (STIESIA) Surabaya(STIESIA) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24034/j25485024.y2024.v8.i3.6527

Abstract

  More research is needed, particularly examining the connection between service quality and patient happiness in the setting of faith-based hospitals. This study seeks to fill this empirical void by investigating the correlation between service quality, patient satisfaction, and the intention to recommend a faith-based private hospital. An empirical study was carried out from October to November 2022, with a sample of 200 participants who underwent medical treatment at religiously affiliated facilities in Manado, North Sulawesi, Indonesia. The quantitative data were examined using structural equation modelling (SEM) using SmartPLS version 3.2. The results suggest that the quality of healthcare services has a favourable impact on consumer satisfaction. The intention to promote healthcare services is strongly influenced by patient satisfaction. Moreover, patient satisfaction completely mediates the association between healthcare service quality and recommendation intention. Furthermore, the study highlights reliability as the primary determinant in forecasting the quality of healthcare services. The findings enhance comprehension of the dynamics within faith-based hospital settings, guiding strategic initiatives to enhance healthcare delivery and patient outcomes.
PRODUCT SALES PREDICTION USING XGBOOST WITH FEATURE IMPORTANCE ANALYSIS FOR ADVERTISING MEDIA EVALUATION Wilsen Grivin Mokodaser; Tonny Irianto Soewignyo; Fanny Soewignyo
Jurnal Riset Informatika Vol. 8 No. 3 (2026): Juni 2026
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v8i3.537

Abstract

Product sales prediction plays a crucial role in supporting data-driven marketing strategies and optimizing advertising expenditures. Although previous studies have demonstrated the effectiveness of machine learning techniques for sales forecasting, most of them primarily focus on prediction accuracy and provide limited insights into the contribution of individual advertising channels to sales performance. This limitation reduces the interpretability and practical value of predictive models for business decision-making. Therefore, this study proposes a product sales prediction framework using Linear Regression as a baseline model and XGBoost Regression combined with Feature Importance Analysis for advertising media evaluation. The novelty of this study lies in integrating predictive modeling and interpretable analysis within a single framework, enabling both accurate sales prediction and the identification of influential advertising factors. Hyperparameter optimization and five-fold cross validation were employed to improve model reliability and robustness. Experimental results show that Linear Regression outperformed XGBoost, achieving an R² score close to 1.0, while XGBoost achieved an R² score of 0.953 with a mean cross-validation R² score of 0.950, indicating stable predictive performance. Feature Importance Analysis revealed that Affiliate Marketing was the most influential factor, followed by Billboards and Social Media. These findings contribute to marketing analytics by providing interpretable insights that support advertising budget optimization and more effective data-driven business decision-making.
Co-Authors Agita Prasetyowati Wibowo Ananda Yunifa Solang Ayu Christa Pratiwi Inaray Celine Natasha Sonda Chesiona Esteron Keintjem Christin Rindorindo Cleon Cleveland Vanderkley Cry Cinta Putri Anjel Deske W. Mandagi Elvis Ronald Sumanti Frandy Melvin Walean George Morris William Tangka Gloria Ngangi Hanna Gratia Kambey Jonathan Paul Sabatani Tani JUNIOR LAKAT Komalig, Steffani Poppy Kondoy, Elfira Ira Lelasari Sijabat Lovenia Marlien Sakul Merlien Mamarimbing Monica Angelicia Frisca Mende Natasya Simatupang Rut Ezer Wanda Shapely Ambalao Sheren Syalomitha Antou Silitonga, Argha Orion Sompotan, Iveny Junita Tonny Irianto Soewignyo Wilsen Grivin Mokodaser