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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI UNEJ e-Proceeding BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Kreativitas PKM Jurnal Abdi Insani ESTIMASI: Journal of Statistics and Its Application Journal of Social Outreach Journal of Research Applications in Community Services Eksponensial STATISTIKA ANDIL Mulawarman Journal of Community Engagement
Darnah, Darnah
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Mengatasi Multikoliniearitas Dalam Regresi Linier Berganda Menggunakan Principal Component Analysis Chairunnisa, Niken Harel; Darnah, Darnah; Syaripuddin, Syaripuddin
EKSPONENSIAL Vol. 16 No. 1 (2025): Jurnal Eksponensial
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/eksponensial.v16i1.1155

Abstract

Multiple linear regression analysis has assumptions that must be met, one of which is multicollinearity. Multicollinearity occurs when the independent variables correlate with each other, resulting in the regression coefficient produced by multiple linear regression analysis being very weak or unable to provide analysis results that represent the nature or influence of the independent variable concerned. The detection of multicollinearity can be known through the VIF value. In this study, human development index data on Kalimantan Island in 2019 detected multicollinearity because some independent variables have a VIF value of more than 10 so that the method used to overcome multicollinearity in this study is Principal Component Analysis (PCA). Based on the results of research using the Principal Component Regression method, There are five independent variables that influence the IPM that is Percentage of Poor Population, Number of Health Workers, Number of Workforce, Number of High Schools, and Number of High School Teachers.
ANALISIS KORELASI SOMERS’D PADA DATA TINGKAT KENYAMANAN SISWA-SISWI SMP PLUS MELATI SAMARINDA Kriesniati, Prastika; Yuniarti, Desi; Nohe, Darnah A.
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 7 No 2 (2013): BAREKENG : Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (703.64 KB) | DOI: 10.30598/barekengvol7iss2pp31-40

Abstract

Somers'd correlation is a analysis of correlate is used for data with ordinal scale and formed in a contingency table. Somers'd correlation can be used for symmetric and asymmetric relationships. In this case, will be explained about Somers’d asymmetric correlation. Somers'd dYX correlation for asymmetrical association applied to data from questionnaires about their comfortable level of Students live in dorms of Melati formed into 2 contingency table, the contingency table for boarding facilities with the comfortable level of students and the quality of the food with the comfortable level of students. Based on the analysis of correlation Somers'd dYX, it can be seen that there is relationship between boarding facility with comfortable level of students and quality of food with comfortable level of students, and then correlation coefficient from 2 contingency table is 0,330 and 0,345 respectively
SOSIALISASI DAN PENDAMPINGAN BRANDING PRODUK SERTA DIGITAL MARKETING SEBAGAI UPAYA PENGUATAN KAPASITAS UMKM DI MUARA JAWA PESISIR Darnah, Darnah; Fauziyah, Meirinda; Kosasih, Raditya Arya
Jurnal Abdi Insani Vol 12 No 12 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i12.3213

Abstract

Micro, small, and medium enterprises (UMKM) play a vital role in Indonesia's economy. MSMEs have been demonstrated to have a significant impact on employment opportunities and the overall well-being of communities. This community service activity aims to enhance the understanding and skills of UMKM actors in Muara Jawa Pesisir with regard to product branding and the utilization of digital marketing as a marketing strategy. The methodology employed entails the dissemination of knowledge through socialization and mentorship of the Dahlia and KWT Kompetitif UMKM groups. The findings of the activity demonstrate that UMKM actors have obtained a novel comprehension of the significance of brand identity and digital marketing, and are capable of implementing it through straightforward packaging design and promotional strategies. The integration of branding and digital marketing is projected to enhance product image, broaden market reach, and augment the competitiveness of UMKM in the context of technological advancements and intensifying business competition. Consequently, this community service initiative contributes substantially to the sustainability of local UMKM, thereby enabling them to thrive and evolve autonomously.
Construction of Biopore Holes in the KTH Office Environment Mahakam Delta, Muara Jawa Ulu: Pembuatan Lubang Biopori di Lingkungan Kantor KTH Delta Mahakam Muara Jawa Ulu Darnah, Darnah; Purwanto, Hepi; Mulawarman, Rizqi Abdhi; Nugraha, Aan; Sudirman
ANDIL Mulawarman Journal of Community Engagement Vol. 3 No. 2 (2026): ANDIL Mulawarman J Comm Engag
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M), Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/andil.v3i2.3927

Abstract

Muara Jawa Ulu Village is one of the villages in Muara  Jawa District, Kutai Kartanegara Regency, East Kalimantan. This village is characterized by residential areas, agricultural land, and some plantation areas or community businesses. Its location in the lowlands offers considerable potential for natural resources but also causes environmental problems, such as waterlogging and the accumulation of organic waste. To address these problems, Mulawarman University Community Service (KKN) students implemented a program to create Biopore Infiltration Holes (LRB) in the Delta Mahakam Forest Farmers Group (KTH) Office. This program aims to increase water absorption into the soil, process organic waste into useful compost, and raise public awareness of the importance of sustainable environmental conservation. This activity was carried out through several stages: coordination, socialization, drilling vertical holes to a depth of ± 100 cm, filling with organic waste such as dry leaves and kitchen scraps, and providing education and mentoring to KTH members. The results of the implemented activities demonstrate that biopore holes are highly effective in reducing waterlogging during rainstorms. By utilizing organic waste to create natural compost, they can improve the cleanliness and aesthetics of the environment around the office. The educational impact is also evident in the increased public understanding of the importance of environmentally friendly technology. Furthermore, KTH members expressed interest in replicating this technology independently in their homes and on their land. This program demonstrates that simple, inexpensive technologies like biopore holes can be a real solution to local environmental challenges and directly improve the community's quality of life.
Pemilihan Model Regresi Logistik Ordinal Terbaik Menggunakan Metode Stepwise: (Studi Kasus: Data Indeks Prestasi Kumulatif Lulusan Program Sarjana FMIPA Unmul) Selsi, Selsi; Darnah, Darnah; Wahyuningsih, Sri
ESTIMASI: Journal of Statistics and Its Application Vol. 7, No. 1, Januari, 2026 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v7i1.44426

Abstract

Ordinal logistic regression is one of the statistical methods used to model response variables with two or more categories that have levels. This study aims to model the cumulative grade point average data of undergraduate graduates of the Faculty of Mathematics and Natural Sciences, Mulawarman University in 2023 using ordinal logistic regression. Estimation of ordinal logistic regression model parameters is done using the Maximum Likelihood Estimation (MLE) method and Newton-Raphson iteration. The best model selection was conducted using the stepwise method based on the smallest Akaike Information Criterion (AIC) value and significant predictor variables. The selection process started with six predictor variables, then gradually eliminated three predictor variables because they were not significant and did not reduce the AIC value. The stepwise stage stopped at the model with three significant predictor variables that had an AIC value of 349,22. The results showed that the factors that had a significant effect on the cumulative grade point average of undergraduate graduates of the Faculty of Mathematics and Natural Sciences, Mulawarman University based on the best ordinal logistic regression model were study program, age, and admission pathway.
Co-Authors Alfina Damayanti Chairunnisa, Niken Harel Dani, Andrea Tri Rian Dini Elizabeth Eka Nur Amaliah Fauziyah, Meirinda Ghony N Nurhuda Ika Purnamasari Khairun Nida Kosasih, Raditya Arya Kriesniati, Prastika Krisna Rendi Awalludin M. Fathurahman M. RIZKY RAMADHAN Meiliyani Siringoringo Memi Nor Hayati Memi Norhayati Mulawarman, Rizqi Abdhi Nadia Serena Nugraha, Aan Purwanto, Hepi Rito Goejantoro, Rito Rut Esra Sekar Nur Utami Selsi, Selsi Septian, Rama Sifriyani, Sifriyani Sri Wahyuningsih Sudirman Surya Prangga Syaripuddin Syaripuddin Wasono Wasono Yuniarti, Desi