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All Journal MES: Journal of Mathematics Education and Science SEPREN: Journal of Mathematics Education and Applied Journal of Computer Networks, Architecture and High Performance Computing
Br Tarigan, Enita Dewi
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Computer Science & IT Decision Sciences, Operations Research & Management Education Mathematics Other

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ANALISIS KEPUASAN MAHASISWA TERHADAP PROGRAM STUDI INDEPENDEN BERSERTIFIKAT DENGAN MENGGUNAKAN METODE REGRESI LOGISTIK ORDINAL Hartaty, Rembulan; Nasution, Putri Khairiah; Darnius, Open; Br Tarigan, Enita Dewi
MES: Journal of Mathematics Education and Science Vol 9, No 2 (2024): Edisi April
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v9i2.9234

Abstract

Studi independen bersertifikat merupakan program Kampus Merdeka yang memberikan kesempatan bagi mahasiswa untuk menguasai keterampilan spesifik. Untuk mengetahui keberhasilan dari program ini penting untuk mengetahui apakah program ini memenuhi harapan mahasiswa atau tidak. Penelitian ini bertujuan untuk menganalisis kepuasan mahasiswa terhadap program studi independen bersertifikat dan mengidentifikasi variabel apa saja yang berpengaruh secara signifikan dengan menggunakan metode regresi logistik ordinal. Data yang digunakan adalah data primer dengan menyebarkan kuisioner (goggle form). Hasil penelitian menunjukkan bahwa variabel yang berpengaruh secara signifikan terhadap kepuasan mahasiswa adalah pengajar (x_3 ) dan proyek akhir (x_7). Sedangkan variabel yang tidak berpengaruh secara signifikan antara lain materi pembelajaran (x_1), sistem pembelajaran (x_2), fasilitas dan akses yang diberikan oleh mitra (x_4), dukungan dari universitas (x_5), motivasi dan minat mahasiswa (x_6), interaksi sosial (x_8), dan sistem penilaian oleh mitra (x_9). Kepuasan mahasiswa secara keseluruhan terhadap program studi independen bersertifikat dipengaruhi oleh variabel independen sebesar 54.8%. Dari hasil odds ratio, setiap peningkatan satu unit dalam skala variabel pengajar (x_3) dan proyek akhir (x_7) mengakibatkan perubahan tingkat kepuasan mahasiswa masing-masing sebesar 1,43 dan 1,34 kali. Kata Kunci: Kepuasan Mahasiswa, Regresi Logistik Ordinal, Studi Independen Bersertifikat.
ANALISIS METODE PLS-SEM DENGAN MODIFIKASI MODEL UTAUT2 PADA PENGGUNAAN CHATGPT OLEH MAHASISWA UNIVERSITAS SUMATERA UTARA Silalahi, Putri Mayang Syafira; br Tarigan, Enita Dewi; Pane, Rahmawati; Suyanto, Suyanto
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9562

Abstract

The rapid advancement of technology in modern times has a great influence in various aspects of life, including in the world of education. One example is the presence of ChatGPT among students in learning activities. The use of ChatGPT has many benefits but the use of this technology must still be addressed wisely to avoid ethical issues, copyright and plagiarism. This study aims to determine what factors influence the use of ChatGPT by students of the University of North Sumatra in education. By using the Partial Least Squares-Structural Equation Modeling (PLS-SEM) method with the variables used, namely the UTAUT2 model. The findings of this study state that 8 hypotheses of the relationship between variables tested in the study, of which 4 hypotheses of the relationship between variables are accepted and 4 hypotheses of the relationship between variables are rejected.
PERBANDINGAN PENGENDALIAN KUALITAS PRODUK WALL DISPLAY DENGAN DIAGRAM KENDALI D^2 DAN T^2 HOTELLING Harahap, Sherly Vitara; br Tarigan, Enita Dewi; Sembiring, Pasukat; Pane, Rahmawati
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9584

Abstract

Quality control is the application of a statistical model of quality control to collect and analyze data to evaluate and monitor production results. Melia Frame Calligraphy is an agent and manufacturer of frames or frame bars and finished frameworks made from fiber and wood. The best-selling product is the wall display. Although wall displays are in high demand, they are also the most returned products due to defects since 2023. Based on observation data, it is calculated that the product defect data is quite high, with an average total of 34 defects per day. This study aims to detect the quality of wall display products with  (Mahalanobis Distance) and  Hotelling control charts at Melia Frame Calligraphy Trade Business. The results of this study found that the product experienced the most defects in October 2023 with a total defective product of 1009 units. By using the control diagram, 20 observations out of a total of 75 observations are outside the control limits, then by using the control diagram, 2 observations out of a total of 75 observations are outside the control limits. This shows that the wall display production process is not yet under control. These observations show that the  (Mahalanobis Distance) control chart has more sensitive control limits than the  Hotelling control chart control limits.
Analysis Of Mutual Fund Performance In Indonesia Using Robust Regression Doloksaribu, Arsella F; br Tarigan, Enita Dewi; Syahmarani, Aghni; Darnius, Open; Hasibuan, Citra Dewi
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9595

Abstract

The Least Squares Method (MKT) is the best linear regression estimator if the classical assumption tests are met. However, if there are outliers in the data, this approach can provide inaccurate prediction results. Therefore, the purpose of this research is to overcome the inappropriate model due to outliers in variables that affect mutual fund performance in Indonesia. The variables in this study are risk level, inflation, fund size, turnover ratio, and cash flow. Robust regression is an approach designed to provide more accurate estimates without discarding observational data that indicates outliers. One of the estimation approaches is Least Trimmed Squares (LTS). This estimation minimizes the sum of squared residuals from h observations that are not considered outliers. The results showed that there were 10 outliers in the data, and the risk level variable had no effect on mutual fund performance, while the inflation, fund size, turnover ratio, and cash flow variables had a significant effect. So by comparing the  value and residual standard error of the two methods, it is found that the  value in the LTS method is greater than the MKT method, namely 0.589 0.273, and the residual standard error in the LTS method is smaller than the MKT method, namely 9.73 48.59. Therefore, it can be concluded that the Least Trimmed Squares method provides better estimation results and is more effective for handling outliers than the MKT method. 
Optimization of the Shortest Route Using the Djikstra Algorithm to the Nearest Covid-19 Referral Hospital for Communities Exposed to the District of Medan Baru Siringoringo, Yan Batara Putra; Manurung, Asima; Br Tarigan, Enita Dewi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5374

Abstract

Abstract: Finding the shortest route is a problem to find a path that connects two nodes with the least amount of weight. Many methods are used in finding the shortest route. One of the methods used is Dijkstra's algorithm. Dijkstra's algorithm is an excellent algorithm used in determining the shortest route from a startingpoint toan end point (destination). In this study, the determination of the shortest route from each kelurahan in the Medan Baru District to the nearest Covid-19 referral hospital can be searched maximally using the Dijkstra algorithm with the distance taken through the google maps application. However, there are some limitations that are limitations in this study. The drawbacks are traffic jams, traffic lights, one-way streets. This cannot be ignored on routes in urban areas. In the future, researchers will look for optimization of determining the shortest route by including some of the problem constraints that occur. The Dijsktra algorithm is an application that must be modernized for more complex constraints.
ANALISIS PLS-SEM TERHADAP KESIAPAN DIGITAL ORANG TUA SISWA SMAN 2 KABANJAHE DALAM MENGHADAPI ERA INDUSTRI 4.0 br Tarigan, Anastasya Primsa; br Tarigan, Enita Dewi; Zahedi, Zahedi; Gio, Prana Ugiana
MES: Journal of Mathematics Education and Science Vol 11, No 1 (2025): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v11i1.12111

Abstract

The Fourth Industrial Revolution has significantly transformed various aspects of life, including education. The rapid advancement of digital technology requires society, including parents, to adapt, particularly with the implementation of online school enrollment systems. However, this situation creates challenges for parents unfamiliar with technology, leading to a digital divide. This study examines the factors influencing parents’ digital readiness at SMAN 2 Kabanjahe using the Technology Readiness Index (TRI), which evaluates individual attitudes toward technology through four dimensions: optimism, innovativeness, discomfort, and insecurity. A quantitative approach was employed with data collected from 80 parents via online questionnaires and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) in Smart-PLS 4.0. The results show an R² value of 0.615, indicating that 61.5% of the variance in digital readiness is explained by the model. Optimism has a significant positive effect, while discomfort has a significant negative effect. Conversely, innovativeness and insecurity do not significantly influence digital readiness. These findings highlight the applicability of the TRI model in assessing digital readiness, particularly in the educational context.
PLS-SEM Method in Analyzing Student Satisfaction at Universitas Sumatera Utara Towards SATU USU Services Manik, Yessi Mardina; Manurung, Asima; Siringoringo, Yan Batara Putra; Yanti, Maulida; Br Tarigan, Enita Dewi
Sepren Vol 7 No 01 (2025): Edisi November 2025
Publisher : Prodi Pendidikan Matematika FKIP Universitas HKBP Nommensen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36655/sepren.v7i01.1860

Abstract

SATU USU is a platform that integrates various digital services at USU into a single portal, simplifying students’ access to academic and administrative information. The purpose of this study is to analyze student satisfaction with the SATU USU service and to identify which factors have a significantly influence. This research employs a quantitative approach, with data collected through a questionnaire distributed via Google Forms. A modified WebQual 4.0 model was used to measure service quality, and data were analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. The analysis results show an R² value of 0.817, indicating that the variables in the research model explain 81.7% of the variance in student satisfaction. Furthermore, the analysis reveals that the variables of usability, service interaction quality, and trust have a significant impact on student satisfaction, while the information quality variable does not show a significant effect in the use of SATU USU.
Optimization of the Shortest Route Using the Djikstra Algorithm to the Nearest Covid-19 Referral Hospital for Communities Exposed to the District of Medan Baru Siringoringo, Yan Batara Putra; Manurung, Asima; Br Tarigan, Enita Dewi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5374

Abstract

Abstract: Finding the shortest route is a problem to find a path that connects two nodes with the least amount of weight. Many methods are used in finding the shortest route. One of the methods used is Dijkstra's algorithm. Dijkstra's algorithm is an excellent algorithm used in determining the shortest route from a startingpoint toan end point (destination). In this study, the determination of the shortest route from each kelurahan in the Medan Baru District to the nearest Covid-19 referral hospital can be searched maximally using the Dijkstra algorithm with the distance taken through the google maps application. However, there are some limitations that are limitations in this study. The drawbacks are traffic jams, traffic lights, one-way streets. This cannot be ignored on routes in urban areas. In the future, researchers will look for optimization of determining the shortest route by including some of the problem constraints that occur. The Dijsktra algorithm is an application that must be modernized for more complex constraints.
ANALISIS KEPUASAN MAHASISWA TERHADAP PROGRAM STUDI INDEPENDEN BERSERTIFIKAT DENGAN MENGGUNAKAN METODE REGRESI LOGISTIK ORDINAL Hartaty, Rembulan; Nasution, Putri Khairiah; Darnius, Open; Br Tarigan, Enita Dewi
MES: Journal of Mathematics Education and Science Vol 9, No 2 (2024): Edisi April
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v9i2.9234

Abstract

Studi independen bersertifikat merupakan program Kampus Merdeka yang memberikan kesempatan bagi mahasiswa untuk menguasai keterampilan spesifik. Untuk mengetahui keberhasilan dari program ini penting untuk mengetahui apakah program ini memenuhi harapan mahasiswa atau tidak. Penelitian ini bertujuan untuk menganalisis kepuasan mahasiswa terhadap program studi independen bersertifikat dan mengidentifikasi variabel apa saja yang berpengaruh secara signifikan dengan menggunakan metode regresi logistik ordinal. Data yang digunakan adalah data primer dengan menyebarkan kuisioner (goggle form). Hasil penelitian menunjukkan bahwa variabel yang berpengaruh secara signifikan terhadap kepuasan mahasiswa adalah pengajar (x_3 ) dan proyek akhir (x_7). Sedangkan variabel yang tidak berpengaruh secara signifikan antara lain materi pembelajaran (x_1), sistem pembelajaran (x_2), fasilitas dan akses yang diberikan oleh mitra (x_4), dukungan dari universitas (x_5), motivasi dan minat mahasiswa (x_6), interaksi sosial (x_8), dan sistem penilaian oleh mitra (x_9). Kepuasan mahasiswa secara keseluruhan terhadap program studi independen bersertifikat dipengaruhi oleh variabel independen sebesar 54.8%. Dari hasil odds ratio, setiap peningkatan satu unit dalam skala variabel pengajar (x_3) dan proyek akhir (x_7) mengakibatkan perubahan tingkat kepuasan mahasiswa masing-masing sebesar 1,43 dan 1,34 kali. Kata Kunci: Kepuasan Mahasiswa, Regresi Logistik Ordinal, Studi Independen Bersertifikat.
Co-Authors Aghni Syahmarani Asima Manurung br Tarigan, Anastasya Primsa Doloksaribu, Arsella F Gio, Prana Ugiana Harahap, Sherly Vitara Hartaty, Rembulan Hasibuan, Citra Dewi Manik, Yessi Mardina Nasution, Putri Khairiah Open Darnius Pane, Rahmawati Pasukat Sembiring Silalahi, Putri Mayang Syafira Siringoringo, Yan Batara Putra Suyanto Suyanto Yanti, Maulida Zahedi .