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All Journal Jurnal Sains dan Seni ITS Jurnal Penelitian dan Pendidikan IPS Indonesian Journal of Applied Statistics Jambura Journal of Mathematics Jurnal Abdi Insani Jurnal Statistika dan Matematika (Statmat) Jurnal Statistika dan Aplikasinya Multica Science and Technology International Journal of Quantitative Research and Modeling Buletin Sistem Informasi dan Teknologi Islam Jurnal Statistika dan Komputasi (STATKOM) Eksponensial ANDIL Mulawarman Journal of Community Engagement
Erlyne Nadhilah Widyaningrum
Universitas Mulawarman
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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Journal : Eksponensial

 1 
Prediksi Curah Hujan di Kabupaten Berau Menggunakan Support Vector Regression Patiallo, Monalisa Randang; Fathurahman, M.; Prangga, Surya; Nadhilah Widyaningrum, Erlyne
EKSPONENSIAL Vol. 16 No. 2 (2025): Jurnal Eksponensial
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/v16i2.1508

Abstract

Machine learning is an analytical approach that is able to predict the output of a system based on patterns that have been formed from previous data. One of the machine learning methods used in this research is Support Vector Regression (SVR). SVR is the application of the support vector machine method in the case of regression. The concept of the SVR algorithm is to obtain a function with the minimum error rate so as to produce a good predictive value. The advantage of SVR lies in its ability to handle nonlinear data using the kernel functions. This study aims to determine the results of rainfall prediction in Berau Regency using the SVR method. The data used is rainfall data in Berau Regency from January 2014 to December 2023 as much as 120 data, and uses five predictor variables namely temperature, humidity, air pressure, wind speed, and solar irradiation. The kernel function used is a polynomial kernel with parameter values  and . The results showed that the best SVR model to predict rainfall in Berau Regency is the SVR model with parameter values  and . This model provides good prediction performance, with an RMSE value of 0,1786.
Pengaruh Harga Pelayanan Dan Keselamatan Terhadap Tingkat Kepuasan Mahasiswa Dalam Menggunakan Ojek Online Aulia, Nabila; Afif Nurdiansyah, Mochamad; Shalihatunnisa, Shalihatunnisa; Christian, Diego; Angeline Seru, Indra; Sifriyani, Sifriyani; Wanti Wulan Sari, Nariza; Yuniarti, Desi; Atarezcha Pangruruk, Thesya; Nadhilah Widyaningrum, Erlyne
EKSPONENSIAL Vol. 16 No. 2 (2025): Jurnal Eksponensial
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/fp39ng21

Abstract

This study aims to analyze the influence of price, service, and safety on the level of satisfaction of FMIPA students at Mulawarman University in using online motorcycle taxi services (Gojek). This study uses a quantitative approach with the Structural Equation Modeling (SEM) method based on Partial Least Square (PLS). A sample of 100 students was obtained through accidental sampling. The variables studied include price, service, safety, and customer satisfaction, each measured by several indicators. The analysis results indicate that the three independent variables (price, service, and safety) have a positive and significant effect on student satisfaction, with safety being the most dominant factor. The R-square value of 0.669 indicates that the model explains 66.9% of the variability in student satisfaction. Validity and reliability tests show that all constructs meet the model's validity criteria. This study suggests that online ride-hailing service providers should prioritize safety aspects, accompanied by improvements in service quality and reasonable price adjustments to enhance user satisfaction.
Penerapan Metode SEM-PLS pada Kepuasan Pengguna Aplikasi Instagram Tamba, Felicia Joy Rotua; Nasywa, Syarifah; Salsabila, Adellia; Khoiruddin, Ahmad Zulfikar; Tandi Kala, Ezra Alfrianto; Sifriyani, Sifriyani; Sari, Nariza Wanti Wulan; Yuniarti, Desi; Nadhilah Widyaningrum, Erlyne; Atarezcha Pangruruk, Thesya
EKSPONENSIAL Vol. 16 No. 2 (2025): Jurnal Eksponensial
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/a8agna87

Abstract

Social media platforms, particularly Instagram, have emerged as widely utilized channels among diverse user groups, including university students, for information sharing, social interaction, and entertainment purposes. The study seeks to analyze how Instagram quality, perceived benefits, and social interaction contribute to user satisfaction and loyalty within the FMIPA community at Mulawarman University.  The SmartPLS 3.0 software facilitates the use of the Structural Equation Modelling technique based on Partial Least Squares (SEM-PLS) in this investigation.  The results show that each of the three independent factors significantly and favourably affects user pleasure, which in turn significantly boosts customer loyalty. The R-square values of 0.685 for satisfaction and 0.655 for loyalty suggest that the proposed model adequately explains the relationships among the variables. Furthermore, all measurement indicators were confirmed to be both valid and reliable. In conclusion, the study demonstrates that users’ positive perceptions of Instagram’s quality, benefits, and social interaction contribute to enhanced satisfaction and foster greater loyalty toward the platform.
Co-Authors Abda Abda Afif Nurdiansyah, Mochamad Amanatullah Pandu Zenklinov Angeline Seru, Indra Aprillia Elsada Rinindah Atarezcha Pangruruk, Thesya Aulia, Nabila Bahriah, Ayu Chandrawati Christian, Diego Desi Yuniarti Fathan, Morina A. Hariyanto Hariyanto Hidayanty, Nurul Ilma Husna Afanyn Khoirunissa Husna Afanyn Khoirunissa Ika Purnamasari Khoiruddin, Ahmad Zulfikar Khoirunnisa, Husna Afanyn Kosasih, Raditya Arya M. Fathurahman Mitha Rabiyatul Nufus Morina A. Fathan Morina A. Fathan Muchlashin, Anif Muhammad Azra Firdaus Nariza Wanti Wulan Sari Nasywa, Syarifah Ni Luh Desvita Pratiwi Nindya Wulandari Ningsih, Eva Lestari Nisa, Nabilla Rida Tri Nugraha, Pratama Yuly Nur Rezky Safitriani Nur Rezky Safitriani Nurmayanti, Wiwit Pura Pangruruk , Thesya Atarezcha Pangruruk Patiallo, Monalisa Randang Putri, Rizka Amalia Ratna Kusuma, Ratna Rizka Amalia Putri Rizka Amalia Putri Safitriani, Nur Rezky Sakila Armayani Salsabila, Adellia Shalihatunnisa, Shalihatunnisa Sholikhati, Adrikni Sifriyani, Sifriyani SITI MAHMUDAH Suhud Wahyudi Surya Prangga Suyitno Suyitno Suyitno Tamba, Felicia Joy Rotua Tandi Kala, Ezra Alfrianto Wiwit Pura Nurmayanti Yuniarti, Desi