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All Journal Journal of Mathematics: Theory and Applications Journal of Mathematics, Computation and Statistics (JMATHCOS)
Yuliana Safitri
Universitas Jambi
Mathematics

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Analyzing the Factors Influencing Generation z Students’ Entrepreneurial Interest at Universitas Jambi Using SEM-PLS Sarmada Sarmada; Gusmanely. Z; Yuliana Safitri; Cut Multahadah; Nabilah Shahadah
Journal of Mathematics, Computations and Statistics Vol. 9 No. 1 (2026): Volume 09 Issue 01 (March 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/a6d88a16

Abstract

Unemployment is one of the most serious issues facing Indonesia and must be addressed promptly, as it has a direct impact on public welfare and economic growth. This challenge is also evident in Jambi Province, which continues to face difficulties in providing sufficient employment opportunities for its residents. A key solution to reducing unemployment is to encourage entrepreneurship among Generation Z—who are creative, innovative, and capable of leveraging digital technology to create new business opportunities. This study aims to analyze the factors influencing entrepreneurial interest among students at the University of Jambi using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) approach. The research employed a quantitative survey method, with data collected through a Likert-scale questionnaire. The exogenous variables examined include social and family environment, innovation and creativity, and technology. The Entrepreneurial interest serving as the endogenous variable. The results of the analysis indicate that all exogenous variables have a significant effect on entrepreneurial interest, with an R² value of 0.59. It is means that 59% of the variation in entrepreneurial interest can be explained by the model. Innovation and creativity were found to have the most dominant influence, with a parameter value of 0.352. These findings highlight the importance of strengthening innovation and creativity in fostering students’ entrepreneurial interest.
Penerapan Algoritma Dijkstra Untuk Menentukan Rute Terpendek Pengangkutan Teh Dari PTPN IV Kayu Aro Ke Pelabuhan Belawan Sri Nopriani; Yuliana Safitri
Journal of Mathematics: Theory and Applications Vol. 8 No. 1 (2026): Volume 8 Nomor 1 Tahun 2026
Publisher : Program Studi Matematika Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/jomta.v8i1.6229

Abstract

Penentuan rute distribusi yang merupakan efisiensi penting dalam kegiatan logistik perusahaan perkebunan. PTPN IV Regional 4 menghadapi tantangan dalam transportasi teh dari Pabrik Teh Kayu Aro menuju Pelabuhan Belawan akibat jarak tempuh yang panjang dan keterbatasan jalur yang dapat dilalui kendaraan angkut. Penelitian ini bertujuan untuk menentukan rute transportasi yang terpendek guna meningkatkan efisiensi distribusi. Pendekatan yang digunakan didasarkan pada teori graf dengan memodelkan jalur distribusi ke dalam graf berbobot positif, di mana simpul merepresentasikan titik persimpangan dan sisi menunjukkan jarak antar lokasi. Penentuan lintasan terpendek dilakukan menggunakan Algoritma Dijkstra karena sesuai dengan grafik dengan bobot non-negatif. Data jarak antar lokasi diperoleh dari Google Maps dan dianalisis menggunakan tahapan Algoritma Dijkstra. Hasil penelitian menunjukkan bahwa rute transportasi terpendek adalah A–B–C–F–G–I–J–K dengan total jarak 981 km. Penerapan algoritma membantu perencanaan rute distribusi yang lebih efisien sehingga dapat mengoptimalkan jarak tempuh.
Co-Authors CUT MULTAHADAH Gusmanely. Z Nabilah Shahadah Sarmada, Sarmada Sri Nopriani