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All Journal Jurnal Sains Matematika dan Statistika Journal of Business Studies and Management Review
Khoerunnisa, Nazwa
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Decision Sciences, Operations Research & Management Mathematics Social Sciences

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Prediksi Angka Harapan Hidup Menggunakan Regresi Linear Berganda, Lasso, Ridge, Elastic Net, dan Kuantil Lasso Fauzan, Muhammad Daryl; Najib, Mohamad Khoirun; Nurdiati, Sri; Khoerunnisa, Nazwa; Maulia, Syammira Dhifa; Triwulandari, Raden Roro Carissa; Aziz, Muhammad Farhan
Jurnal Sains Matematika dan Statistika Vol 10, No 2 (2024): JSMS Juli 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v10i2.27916

Abstract

Angka harapan hidup mejadi salah satu indikator penting dalam mengevaluasi kesejahteraan dan kualitas hidup suatu populasi atau negara. Metode yang biasa digunakan untuk memprediksi adalah regresi linear berganda. Terdapat banyak perkembangan model regresi linear berganda, seperti regresi lasso, ridge, elastic net, kuantil, serta kuantil lasso. Untuk melihat kontribusi setiap variabel independen pada model, digunakan metode Mean Absolute Shapley Values (MASV). Oleh karena itu, tujuan dari penelitian ini adalah membandingkan model regresi linear berganda, lasso, ridge, elastic net, kuantil, serta kuantil lasso dalam memprediksi nilai angka harapan hidup. Penelitian diawali dengan melakukan eksplorasi data. Selanjutnya, model-model regresi tersebut dilatih. Pelatihan model tersebut juga dilakukan berulang kali dengan mengacak data pada pembagian data latih dan data uji. Terakhir, kontribusi setiap variabel independen diukur. Performa model regresi linear berganda pada iterasi pertama cukup baik dengan nilai r-square lebih besar dari 85% baik pada data latih dan data uji. Namun, Performa model lasso, ridge, elastic net, kuantil, dan kuantil lasso tidak jauh berbeda dengan performa model regresi linear berganda. Ketika dilakukan pengacakan data latih dan data uji.  Model regresi kuantil lasso memiliki performa yang lebih konsisten dalam memprediksi nilai angka harapan hidup dibandingkan model lainnya. Pada setiap model regresi, tingkat kelahiran dan tingkat kematian bayi merupakan variabel yang memiliki kontribusi terbesar dalam memprediksi nilai angka harapan hidup, sedangkan persentase orang yang mengikuti sekolah formal dan persentase populasi yang tinggal di perkotaan bukan variabel independen yang cukup baik untuk memprediksi angka harapan hidup. Kata Kunci:  angka harapan hidup, model regresi, data latih, data uji.
WHY BEING WELL-KNOWN IS NOT ENOUGH: EXAMINING BRAND IMAGE AND E-MARKETING EFFECTS ON HOSPITAL VISIT INTENTION Khoerunnisa, Nazwa; Anwar, Tezza Adriansyah; Pratiwi, Nur Pudyastuti
Journal of Business Studies and Management Review Vol. 9 No. 2 (2026): JBSMR, Vol 9 No.2 June 2026
Publisher : Management Department, Faculty of Economics and Business, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jbsmr.v9i2.53040

Abstract

The increasing competition in the healthcare industry requires hospitals to strengthen not only service quality but also brand image and digital marketing strategies. This study aims to analyze the influence of brand image and e-marketing on visit intention toward Oetomo Hospital, a private hospital in Indonesia. A quantitative study with a descriptive–verificative approach was conducted. Data were collected through an online questionnaire from 150 respondents who were familiar with Oetomo Hospital but had never visited it. The data were analysed using path analysis with LISREL software. The results show that Oetomo Hospital has a positive brand image, particularly in terms of medical staff professionalism, service speed, and its ability to meet healthcare needs. E-marketing activities are also perceived as effective, supported by an informative website, search engine visibility, and responsive social media management. However, visit intention remains relatively low, especially at the initial intention stage. Partially, brand image does not have a significant effect on visit intention, while e-marketing has a positive and significant influence, although the magnitude of its effect is limited. Simultaneously, both variables explain only a small proportion of the variance in visit intention, indicating that other factors outside the research model play a more dominant role. These findings suggest that digital marketing is more influential than brand image in stimulating visit intention, but it needs to be supported by more contextual and audience-oriented strategies to effectively increase hospital visits.
Co-Authors Anwar, Tezza Adriansyah Aziz, Muhammad Farhan Fauzan, Muhammad Daryl Maulia, Syammira Dhifa Najib, Mohamad Khoirun Pratiwi, Nur Pudyastuti Sri Nurdiati Triwulandari, Raden Roro Carissa