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All Journal Media Statistika Statistika BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Jurnal Varian Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Jurnal Abdi Insani ESTIMASI: Journal of Statistics and Its Application International Journal Of Science, Technology & Management (IJSTM) JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Jurnal Siger Matematika Journal of Research Applications in Community Services Eksponensial STATISTIKA Journal of Education Technology and Information System
Sifriyani, Sifriyani
Statistics Study Program, Department Of Mathematics, Faculty Of Mathematics And Natural Sciences, Mulawarman University, Samarinda
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Journal : Eksponensial

 1 
Penerapan Metode K-Means Dalam Pengelompokan Kabupaten/Kota Di Kalimantan Berdasarkan Indikator Pendidikan Messakh, Gerald Claudio; Hayati, Memi Nor; Sifriyani, Sifriyani
EKSPONENSIAL Vol. 14 No. 2 (2023)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/eksponensial.v14i2.1103

Abstract

Cluster analysis is an analysis that aims to classify data based on the similarity of spesific characteristics. Based on the structure, cluster analysis is divided into two, namely hierarchical and non-hierarchical methods. One of the non-hierarchical methods used in this study is K-Means. K-Means is a partition-based non-hierarchical data grouping method. This purpose of this study is to obtain the best results of grouping regencies/cities on the island of Kalimantan based on education indicators using the K-Means method based on the smallest ratio of standard deviation. Based on the results of the analysis, it can be concluded that the best grouping results based on the smallest ratio of standard deviation is 0.6052 which produces optimal clusters of 2 clusters with the first cluster consisting of 14 Regencies/Cities while the second cluster consists of 42 Regencies/Cities on Kalimantan Island
Perbandingan Metode Klasifikasi Naive Bayes dan K-Nearest Neighbor: Studi Kasus : Status Kerja Penduduk Di Kabupaten Kutai Kartanegara Tahun 2018 Novalia, Viona; Goejantoro, Rito; Sifriyani, Sifriyani
EKSPONENSIAL Vol. 11 No. 2 (2020)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (979.072 KB) | DOI: 10.30872/eksponensial.v11i2.659

Abstract

Classification is a technique to build a model and assess an object to put in a particular class. Naive Bayes is one of algorithm in the classification based on the Bayesian theorem, which assumes the independencies of one class with another class. K-nearest neighbor is an algorithm in the classification method for classifiying based on data that has a closest distance between one object and another object. Naive Bayes and k-nearest neighbor methods are used in classification of the employment status of citizen in Kutai Kartanegara regency because has a good accuracy and produce a small error rate when using large data sets. This research aim to compared optimal performance accuracy of both methods on the classifiying of the employment status of citizen. The data used are employment status of citizen in Kutai Kartanegara Regency based on SAKERNAS of East Kalimantan Province in 2018 and used 5 factors namely age, sex, status in the household, marital status, and education to predict employment status of citizen. Based on the analysis, classification the employment status of citizen with naive Bayes method has accuracy of 90,08% and in the k-nearest neighbor has accuracy of 94,66%. To evaluate the accuracy of classification used calculation of Press’s Q. Based on Press’s Q value showed that both of classification methods are accurate. From that analysis, can be concluded that the k-nearest neighbor method works better compared with the naive Bayes method for the case of the employment status of citizen in Kutai Kartanegara Regency.
Analisis Regresi Linier Berganda Dalam Estimasi Indeks Pembangunan Manusia di Indonesia Khotimah, Ariska Khusnul; Rahman, Athaya Azahra; Alam, Muhammad Zainul; Adawiyah, Rabiatul; Nur, Yumi Handayani; Aufi, Tresna Restu; Sifriyani, Sifriyani
EKSPONENSIAL Vol. 15 No. 2 (2024): Jurnal Eksponensial
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/eksponensial.v15i2.1318

Abstract

The human development index has an important role in determining and measuring achievements in developing the quality of life and development ranking of a country. By increasing the level of the part forming the human development index, it will greatly influence various aspects in terms of health, longevity, quality of life, and improving the quality of human resources. Therefore, this research aims to determine the influence of the percentage of young people who have never attended school, the percentage of the population with higher education, the minimum wage, the percentage of young people who are married under age, the average per capita food expenditure, the number of people receiving 4G LTE signals, and the level of open unemployment on the index. Human Development . This research uses a Multiple Linear Regression analysis method which can be used to look for patterns of relationship between one response variable and only one predictor variable. The data in this study is secondary data obtained from the Central Agency covering 34 provinces in Indonesia in 2023. In the test results using multiple linear regression, a p-value coefficient of determination was obtained of 0,8073, indicating that there was 80,73% variation what occurs in the Human Development Index is caused by the variables Percentage of Youth Never Attending School, Percentage of Population Having Higher Education, Minimum Wage, Percentage of Youth Married Under Age, Average Per Capita Food Expenditure, Number of Receive 4G LTE Signals, and Open Unemployment Rate. This indicates that there are around 19,27% other variables that influence the Human Development Index.
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 A'yun, Qonita Qurrota Abda Abda Adhitya Ronnie Effendie, Adhitya Ronnie Afif Nurdiansyah, Mochamad Afriani, Nur Alam, Muhammad Zainul Andrea Tri Rian Dani Angeline Seru, Indra Anggraeni, Sitti Anisar, Anggi Putri Asnita, Asnita Astafira, Ilyas Atarezcha Pangruruk, Thesya Aufi, Tresna Restu Aulia, Nabila Bahriah, Ayu Chairunnisa, Nurul Rizky Christian, Diego Clemensius Arles Damayanti, Elok Dani, Andrea Dani, Andrea Tri Rian Darnah Andi Nohe Darnah, Darnah Dedi Rosadi Deni Sunaryo Eka Nur Amaliah Erlyne Nadhilah Widyaningrum Etty Puji Lestari Fadlirhohim, Rizki Dwi Fatia Fatimah Fauziyah, Meirinda Febriana Rinda Sihotang Febriyani, Eka Riche Fidia Deny Tisna Amijaya Gerald Claudio Messakh Hardina Sandariria Hidayanty, Nurul Ilma Hillidatul Ilmi I Nyoman Budiantara Ika Purnamasari Ilmi, Hillidatul indarsih, Indarsih Kesuma, Ahmad Rizky Khoiruddin, Ahmad Zulfikar Khotimah, Ariska Khusnul Koirudin, Hadi Kosasih, Raditya Arya Lestari, Tri Septi Ayu M. Fariz Fadillah Mardianto Mahmuda, Siti Mar'ah, Zakiyah Mar’ah, Zakiyah Memi Nor Hayati Memi Nor Hayati Messakh, Gerald Claudio Mohammad Nurul Huda Muhammad Hunaipi Pratama Mulyadi, Taqriri Kamal Mumtaz, Ghina Fadhilla Nabilla, Maghrisa Ayu Nadia Serena NARITA YURI ADRIANINGSIH Nariza Wanti Wulan Sari Nasywa, Syarifah Novalia, Viona Nugraha, Pratama Yuly Nur, Yumi Handayani Nuraini, Ulfa Siti Nurmayanti, Wiwit Pura Nurul Istiqomah Padatuan, Aprianti Boma Pangruruk , Thesya Atarezcha Pangruruk Paradilla, Yunda Sasha Pasarella, Muhammad Danil Purnaraga, Tirta Putra, Fachrian Bimantoro Putri, Asyifa Charmadya Rabiatul Adawiyah Rahman, Athaya Azahra Rahmania Rahmania Raihani, Risti Rian Dani, Andrea Tri Rinanda, Farikah Ayu Rito Goejantoro, Rito Salsabila, Adellia Saputri, Marisa Nanda Sari, Ar Ruum Mia Saska, Indria Shalihatunnisa, Shalihatunnisa SITI MAHMUDAH Sitohang, Frans Karta Sayoga Solikhah, Arifatus Solikhatun, Solikhatun Sri Wahyuni Sukamto, Ika Sumiyarsi Surya Prangga Suyitno Suyitno Syaripuddin Syaripuddin Tamba, Felicia Joy Rotua Tandi Kala, Ezra Alfrianto Tutik Handayani Tutik Handayani, Tutik Uha Isnaini Vita Ratnasari Wahyujati, Mohamad Fahruli Wasono, Wasono Wianita Noviani Wiyli Yustanti Yuniarti, Desi Zarkasi, Rifka Nurfaiza Zen, Muhammad Aldani