Article Per Year (5 Year)
p-Index From 2021 - 2026
7.323
P-Index
This Author published in this journals
All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Teknologi Informasi dan Ilmu Komputer AGRIMOR Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JOIV : International Journal on Informatics Visualization SemanTIK : Teknik Informasi Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Faktor Exacta Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat JITK (Jurnal Ilmu Pengetahuan dan Komputer) JTAM (Jurnal Teori dan Aplikasi Matematika) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Martabe : Jurnal Pengabdian Kepada Masyarakat KOMPUTIKA - Jurnal Sistem Komputer Mathvision : Jurnal Matematika GERVASI: Jurnal Pengabdian kepada Masyarakat Zonasi: Jurnal Sistem Informasi Journal of Innovation Information Technology and Application (JINITA) Range : Jurnal Pendidikan Matematika Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Research in Mathematics Trends and Technology Jurnal Diferensial HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Journal Of Information And Technology Unimor (JITU) PROFICIO: Jurnal Pengabdian Masyarakat Jurnal Penelitian Inovatif AKM: Aksi Kepada Masyarakat Jurnal Sisfotek Global Jurnal Algoritma Fraction: Jurnal Teori dan Terapan Matematika Prosiding Seminar Nasional Official Statistics IC Tech: Majalah Ilmiah Sanskara Ekonomi dan Kewirausahaan Parameter: Jurnal Matematika, Statistika dan Terapannya Kreativasi: Journal of Community Empowerment PADIMAS: Jurnal Pengabdian Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS) Indonesian Journal of Statistics and Its Applications IC Tech: Majalah Ilmiah Media Pendidikan Matematika Babakti: Journal of Community Engangement
Chrisinta, Debora
Program Studi Teknologi Informasi, Universitas Timor, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 54 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 54 Documents
Search

 2   3   4   5   6 
Estimation of Path Coefficient Parameter Based on The Best RMSEA Value in Structural Equation Modeling Weighted Least Square Justin Eduardo Simarmata; Ferdinandus Mone; Debora Chrisinta; Miko Purnomo; Alejandro Jr. V. Matute
RANGE: Jurnal Pendidikan Matematika Vol. 7 No. 2 (2026): Range Januari 2026
Publisher : Pendidikan Matematika UNIMOR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jpm.v7i2.10324

Abstract

Structural Equation Modeling (SEM) is a statistical approach widely used to analyze causal relationships between latent and observed variables. A key issue in SEM lies in selecting an appropriate parameter estimation method, as it strongly affects the accuracy and interpretation of results. Among the most common estimation techniques are Maximum Likelihood (ML) and Weighted Least Squares (WLS). This study aims to compare the performance of ML and WLS in estimating path coefficients within SEM analysis. Using simulated data generated with the simulateData() function from a predefined structural model, three scenarios are examined with sample sizes of 500 and 1000. Data transformation procedures are applied to ensure consistency before model testing. Each SEM model is then estimated using both ML and WLS, and the results are evaluated through Root Mean Square Error of Approximation (RMSEA) values obtained from 100 replications. Findings indicate that WLS generally outperforms ML in terms of model fit and stability. In the first scenario with a sample size of 500, WLS achieves a lower average RMSEA (0.0141) compared to ML (0.0172). With a sample size of 1000 in the second scenario, both methods produce similar RMSEA values (0.009 for WLS and 0.0096 for ML), though WLS demonstrates lower variability. In the third scenario, also with a sample size of 1000, WLS records an average RMSEA of 0.0074 versus 0.0092 for ML. Overall, the results suggest that WLS is more effective and reliable than ML in providing accurate parameter estimates across different data conditions and sample sizes.
Evaluasi Media Pembelajaran Digital Matematika Menggunakan Integrasi Analisis Korespondensi Berganda dan Klasterisasi K-Medoids Justin Eduardo Simarmata; Miko Purnomo; Kristoforus Fallo; Debora Chrisinta
Media Pendidikan Matematika Vol. 13 No. 2 (2025): J-MPM
Publisher : Program Studi Pendidikan Matematika, FSTT, Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/mpm.v13i2.18442

Abstract

Learning linear inequalities still encounters challenges in terms of visualization and interactivity, while the evaluation of digital learning media generally relies only on descriptive analysis, resulting in less comprehensive findings. This study aims to evaluate the effectiveness of RShiny-based digital learning media through the integration of Multiple Correspondence Analysis (MCA) and K-Medoids clustering as a scientific novelty in examining multidimensional patterns of student perceptions. The media was implemented among 101 tenth-grade students from three schools using a five-construct questionnaire that had been previously tested for validity and reliability. The results showed that most students responded positively to the interface, clarity of material, and ease of use; MCA identified dominant indicators including increased motivation, conceptual understanding, and assessment outcomes, while K-Medoids produced two perception clusters, namely highly positive and moderate. Therefore, the RShiny-based media is proven effective in enhancing students’ motivation, conceptual understanding, and academic performance in learning linear inequalities.
PENERAPAN RANCANGAN ACAK LENGKAP DALAM MENGEVALUASI EFEKTIFITAS PENGAJARAN DOSEN Debora Chrisinta; Nofrianti Bau; Eva Binsasi
Fraction: Jurnal Teori dan Terapan Matematika Vol. 5 No. 2 (2025): Fraction: Jurnal Teori dan Terapan Matematika
Publisher : Jurusan Matematika, Fakultas Teknik, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/fraction.v5i2.88

Abstract

Penelitian ini bertujuan untuk mengevaluasi efektivitas pengajaran dosen Program Studi Matematika  Universitas Timor. Metode yang diterapkan adalah Rancangan Acak Lengkap (RAL), yang memungkinkan setiap perlakuan diberikan secara acak kepada seluruh unit percobaan. Data yang digunakan dalam penelitian ini harus memenuhi asumsi berdistribusi normal dan memiliki varians yang homogen. Data yang dianalisis berupa hasil penilaian mahasiswa terhadap proses pengajaran dosen di Program Studi Matematika Universitas Timor. Hasil analisis menunjukkan bahwa dosen yang tergolong memiliki pengajaran efektif berada pada kategori H, E, I, G, A, C, D, dan F, sedangkan dosen yang dinilai kurang efektif adalah dosen B. Pengujian melalui tabel ANOVA juga menunjukkan adanya perbedaan yang signifikan antar kategori pengajaran dosen. Oleh karena itu, penelitian ini memberikan gambaran yang lebih komprehensif mengenai tingkat efektivitas pengajaran dosen di Program Studi Matematika Universitas Timor.
HYBRID DATA MINING METHODS TO SUPPORT MSME SUSTAINABILITY IN RURAL AND URBAN AREAS Krisantus Jumarto Tey Seran; Debora Chrisinta; Yasinta Oktaviana Legu Rema; Hevi Herlina Ullu; Budiman Baso
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 12 No. 1 (2026): JITK Issue August 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v12i1.8271

Abstract

This study aims to analyze the factors influencing the sustainability of MSMEs in North Central Timor Regency by utilizing the K-Mode clustering method and Naive Bayes classification. The data used includes 550 MSMEs in North Central Timor Regency, East Nusa Tenggara Province, classified based on attributes such as location, product price, financial condition, innovation, technology utilization, and sustainability. The K-Mode method was employed to group MSMEs based on categorical similarities after the data was segmented by location attributes, while the Naive Bayes method was applied to classify MSME sustainability following clustering. The results indicate that in rural areas, MSMEs tend to dominate with high product prices and good financial conditions but show low levels of innovation and technology utilization. In contrast, MSMEs in urban areas are generally more innovative and technology-driven despite facing infra-structure challenges. The application of Naive Bayes demonstrated that a data training ratio of 70:30 yielded the best accuracy. Accordingly, the resulting model can be utilized to monitor the sustainability conditions of MSMEs. This study provides insights into sustainability patterns of MSMEs in both rural and urban areas and opens opportunities for further research on external factors affecting sustainability and barriers to technology adoption in rural areas.
Co-Authors Abi, Roberto Adelya I Manalu afandi, iswan Afdhal Chatra Agustinus Palmarius Tae Abi Agustinus Yoseph Leu Aldianus Bria Alejandro Jr. V. Matute Anastasia Kadek Dety Lestari Baldemor, Milagros R. Baso, Budiman Benu, Luky Wandika Bete, Hendrika Binsasi, Eva Bone, Dominifridus Chamdi, Achmad Nur Christofel John Bernhard Sendow Dian Grace Ludji Eva Binsasi Fallo, Glorita D.R.M Febrya Christin Handayani Buan Fetronela Rambu Bobu Fransiskus Yulius Dhewa Kadju Gelu, Leonard Peter Gelu, Leonard Peter Gerhard-Wilhelm Weber Handayani, Rika Hevi Herlina Ullu Hevi Herlina Ullu Hijriani, Lailin Hutubessy, Aditya I Made Sumertajaya Ida Bagus Putu Mardana Iis Aprianti Iis Aprianti Indahwati Indra Budaya, Indra Januario Resky A. Sekab Jaya Santoso Josua Sahala Juventianus Kenjam Kabut, Stefanus Kristoforus Fallo Manalu, Adelya I Maneno, Regolinda Manhitu, Emerensiana Okan Margareta Mamuit Ninu Maria Metriana Seran Maria Naimnule Marselinus Banu Martins, Alfiana Fontes Matute, Alejandro Jr. V. Mau, Paskalia Yunita Melkisedik Bukifan Miko Purnomo Miko Purnomo mone, ferdinandus Naimnule, Maria Naisau, Angela Cristina Ni Wayan Sukerti Nia Erlina Nofrianti Bau Pakaenoni, Lusilia Dos Santos Patricia Gertrudis Manek Peter Gelu, Leonard Purba, Switamy Angnitha Risald Simarmata, Justin Eduardo Siprianus Septian Manek Soares, Deonia Morissette Bento Araujo Switamy Angnitha Purba Tavares, Ricson Tey Seran, Krisantus Jumarto Tulus Martua Sihombing Ture Simamora Ullu, Hevi Herlina Veithzal Rivai Zainal Venantius Oskar Nahak Winda Ade Fitriya B Wua Laja, Yosepha Patricia Yasinta O.L Rema Yohanes Jefrianus Kehi Yoseph Pius Kurniawan Kelen