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All Journal Jurnal Pendidikan Matematika Undiksha JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI P2M STKIP Siliwangi SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Riset Pendidikan Matematika AKSIOMA: Jurnal Program Studi Pendidikan Matematika Jurnal Teknologi Informasi dan Ilmu Komputer Al-Jabar : Jurnal Pendidikan Matematika JOIV : International Journal on Informatics Visualization KALAMATIKA Jurnal Pendidikan Matematika PRISMA Faktor Exacta Jurnal Pengabdian Pada Masyarakat Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat Numeracy : Jurnal Ilmiah Pendidikan Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan JMM (Jurnal Masyarakat Mandiri) JTAM (Jurnal Teori dan Aplikasi Matematika) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Indiktika : Jurnal Inovasi Pendidikan Matematika Martabe : Jurnal Pengabdian Kepada Masyarakat KOMPUTIKA - Jurnal Sistem Komputer Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Mathvision : Jurnal Matematika GERVASI: Jurnal Pengabdian kepada Masyarakat MES: Journal of Mathematics Education and Science Jurnal Penelitian Pembelajaran Matematika Sekolah Jurnal Eduscience (JES) Dedikasi: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Borneo Jurnal Absis : Jurnal Pendidikan Matematika dan Matematika Jurnal Magister Pendidikan Matematika (JUMADIKA) Jurnal Abdi Insani Abdimasku : Jurnal Pengabdian Masyarakat Range : Jurnal Pendidikan Matematika Jubindo: Jurnal Ilmu Pendidikan Bahasa dan Sastra Indonesia Jurnal Anugerah: Jurnal Pengabdian Kepada Masyarakat Bidang Keguruan dan Ilmu Pendidikan Journal of Research in Mathematics Trends and Technology JAMBURA JOURNAL OF PROBABILITY AND STATISTICS JUPIKA: JURNAL PENDIDIKAN MATEMATIKA Jurnal Diferensial Jurnal Penelitian Inovatif MATH-EDU: Jurnal Ilmu Pendidikan Matematika Jurnal Algoritma Smart Society: Community Service and Empowerment Journal Fraction: Jurnal Teori dan Terapan Matematika Jurnal Pengabdian Sains dan Humaniora Malcom: Indonesian Journal of Machine Learning and Computer Science IC Tech: Majalah Ilmiah Parameter: Jurnal Matematika, Statistika dan Terapannya Kreativasi: Journal of Community Empowerment PADIMAS: Jurnal Pengabdian Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS) Jurnal Jendela Matematika Jurnal Pendidikan MIPA Trigonometri : Jurnal Matematika IC Tech: Majalah Ilmiah Media Pendidikan Matematika
Simarmata, Justin Eduardo
Pendidikan Matematika, Fakultas Keguruan Dan Ilmu Pendidikan, Universitas Timor, Indonesia
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Journal : Range : Jurnal Pendidikan Matematika

 1 
PENERAPAN ALGORITMA BRANCH AND BOUND PADA PERSOALAN PEDAGANG KELILING (TRAVELLING SALESMAN PROBLEM): PENERAPAN ALGORITMA BRANCH AND BOUND PADA PERSOALAN PEDAGANG KELILING (TRAVELLING SALESMAN PROBLEM) Simarmata, Justin Eduardo
RANGE: Jurnal Pendidikan Matematika Vol. 1 No. 2 (2020): RANGE Januari 2020
Publisher : Pendidikan Matematika UNIMOR

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (308.309 KB) | DOI: 10.32938/jpm.v1i2.366

Abstract

Persoalan pedagang keliling merupakan persoalan optimasi untuk mencari perjalanan terpendek bagi pedagang keliling yang ingin berkunjung ke beberapa kota, dan kembali ke kota asal keberangkatan. Beberapa metode telah digunakan untuk memecahkan persoalan TSP. Namun, pada zaman yang serba praktis sekarang ini dibutuhkan algoritma yang dapat menyelesaikan TSP dengan cepat sehingga diperoleh solusi yang mendekati. Penelitian ini membahas tentang algoritma Branch and Bound dalam menyelesaikan persoalan TSP. Dengan menerapkan algoritma Branch and Bound pada hasil pembahasan persoalan pedagang keliling (Travelling Salesman Problem) dalam penelitian ini maka diperoleh rute perjalanan terpendek dengan biaya yang paling minimal.
Analisis Kesalahan Siswa Menggunakan Tahapan Kastolan Dalam Menyelesaikan Soal Cerita Patrisius Bauk; Oktovianus Mamoh; Justin Eduardo Simarmata
RANGE: Jurnal Pendidikan Matematika Vol. 4 No. 1 (2022): RANGE Juli 2022
Publisher : Pendidikan Matematika UNIMOR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jpm.v4i1.2478

Abstract

The purpose of this research was to determine the types and factors of errors made by grade VII students of SMP St. Yosef Maubesi in solving story problems on the subject of operations in algebraic forms. The research method used is descriptive qualitative. The research subjects were students of class VII SMP St. Yosef Maubesi. Data collection techniques used are tests, interviews, and documentation. The instruments in this research were the researcher, the test sheet, and the interview guide. Based on the results, it was found that conceptual errors were made by subjects 1, 2, and 3 on the questions being worked on. The cause of the subject making mistakes is that students do not understand the meaning of the question and students do not know the formula used. Procedural errors were made by subjects 1, 2, and 3 on the questions being worked on. The cause of the subject making mistakes is that students are not careful in the work process and technical errors are made by subjects 1, 2, and 3 on the questions being worked on. The causes of the subject making mistakes are: students are in a hurry to write the ending and do not understand the calculation process and students do not re-check the results of their work.
Designing Student Worksheets (LKM) Based on the Rigorous Teaching and Learning (RTL) Model Ade Mirza; Revi Lestari Pasaribu; Justin Eduardo Simarmata
RANGE: Jurnal Pendidikan Matematika Vol. 6 No. 1 (2024): Range Juli 2024
Publisher : Pendidikan Matematika UNIMOR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jpm.v6i1.5624

Abstract

This research aims to design Student Worksheets (LKM) for the Discrete Mathematics course, where the LKM design is structured so that the LKM can be used in the Rigorous Teaching and Learning (RTL) learning model. The results of the lecturers' reflections found that the main problem lies in the content of the material in textbooks which is not interesting, students are often unable to understand the textbooks they own, especially in solving the questions given. This has implications for 1) lack of motivation to learn, 2) lack of understanding of the material, 3) fear of expressing opinions, and 4) lectures are less effective and less enjoyable. Therefore, teaching materials need to be packaged appropriately according to the substance and conditions of students in LKM. The research design used in this research is Thiagarajan's 4-D development model. This model is a system of educational development approaches that are carried out in 4 sessions, namely Define or Introduction where in this session preliminary analysis, student analysis, and needs analysis are carried out, Design or Planning where in this session what is done is format selection, initial design and design preparation, Develop or Development where in this session validation and limited trials are carried out, as well as Disseminate or Disseminate where in this session the LKM is given to the teaching lecturers. This research produces an LKM that is used in Discrete Mathematics courses.
The Effect of Improving Human Resources for Student Interest in Selecting University on Food Security and Health: Structural Equation Modeling (SEM) Justin Eduardo Simarmata; Ferdinandus Mone; Debora Chrisinta; Winda Ade Fitriya B
RANGE: Jurnal Pendidikan Matematika Vol. 6 No. 1 (2024): Range Juli 2024
Publisher : Pendidikan Matematika UNIMOR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jpm.v6i1.6308

Abstract

The selection of State Universities by students has a significant impact on improving the quality of human resources, so it can also affect the improvement of food security and health. This study aims to understand the extent of students' interest in selecting university which contributes to improving human resources and can indirectly affect food security and health. This study uses the Structural Equation Modeling (SEM) method to analyze the interaction between latent variables. Data was collected through questionnaires from high school students on the Indonesia-Timor Leste border. The data used in this study include students' interest in selecting university (Y), education and knowledge (X1), skills and abilities (X2), food security (X3), and health (X4). The results showed that students' interest in selecting university had a significant correlation with improving human resources through education by 90% (X1) and 84% (X2). The impact of this increase in human resources is also seen in the improvement of food security and public health which provides a correlation of 98% (X3) and 81% (X4).
Estimation of Path Coefficient Parameter Based on The Best RMSEA Value in Structural Equation Modeling Weighted Least Square Simarmata, Justin Eduardo; Mone, Ferdinandus; Chrisinta , Debora; Purnomo, Miko; Matute, Alejandro Jr. V.
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.
Co-Authors Ade Mirza admin pythagoras, admin Agnes L A Halla Agustinus Giovandi Laki Agustinus Giovandi Laki Ahzan, Z.N. Ahzan, Zulkaidah Nur Aloisius Loka Son Amran Shidik, Muhammad Astriani Dewi, Ni Putu Yuni Atencia, Bryant Bennet D Atencia, Bryant Bennet D. Baldemor, Milagros R. Bana, Marten Luter Bano, Elinora Naikteas Bantaika, Aris Benu, Kristiani Benu, Luky Wandika Bernadeta Buik Bete, Hendrika Bete, Maria Erlince Bifel, Maria Gabriela Bait Bone, Dominifridus Cecilia Novianti Salsinha Chrisinta, Debora Dian Grace Ludji Elfrida Nailopo Elin, Lailin Hijriani Elisabet Ersamayori Foeh Elisabeth E Mayori Elizio Victor De Araujo Erlina, Nia Fallo, Kristoforus Ferdinandus Mone Ferdinandus Mone Fetronela Rambu Bobu Fitriani Fitriani Fitriani Gelu, Leonard Peter Gerhard-Wilhelm Weber Gusti Firda Khairunnisa H. Bete Hendrika Yeni Meti Hijriani, Lailin Hijriani, Lailin Hutubessy, Aditya Ida Bagus Putu Mardana Iis Aprianti Jaya Santoso Jeniana Martha Prima Asa Josua Sahala Juventianus Kenjam Juventianus Kenjam Kehi, Sefrinus Kenjam, Juventianus Klau, Kondradus Yohanes Kondradus Yohanes Klau Kono, Metriana Maria Kristofel Bere Nahak Lailin Hijriani Lidu, Maria LUDGARDIS LEDHENG Luruk, Maria Gaudensia Made Santo Gitakarma Maneno, Regolinda Margareta Rodrigues Gomes Maria Brigita Niis Nana Maria Delviana Mali Maria Erwinda Kefi, Winda Maria Naimnule Marselinus Banu Matute, Alejandro Jr. V. Melkisedik Bukifan Merlin Helentina Napitupulu Miko Purnomo Miko Purnomo Missa, Yeni mone, ferdinandus Moses Timutang Muhammad Amran Shidik Naimnule, Maria Naisau, Angela Cristina Natalia Emanuela Lelboy Nelciana Talan Ni Putu Yuni Astriani Dewi Ni Putu Yuni Astriani Dewi Ni Wayan Sukerti Nifu, Martha Marsela Nifu, Martha Marsella Oktovianus Mamoh Olo, Maria Regina Pakaenoni, Lusilia Dos Santos Pasaribu, Revi Lestari Patrisius Bauk Peter Gelu, Leonard Pius Thaal, Pius Prudensius Manek Purba, Switamy Angnitha Ricson Tavares Rita Sila, Vinsensia Ulia Roberto Abi S. A. Purba Sanam, Thofilus Sari, Nur Nilam Seko, Herbert Sele, Yunawati Selestina Nahak Siahaan, Meiva Marthaulina Lestari Sila, Vinsensia Ulia Rita Silfester Faentaono Sirait, Debora Sitti Rosnafi’an Sumardi Sopbaba, Merlina Stanislaus Amsikan Switamy Angnitha Purba Taena, Vinsensia Gerosa Talan, Nelciana Tampani, Margarita Thresia Trivict Semiun Ulia Rita Sila, Vinsensia Uskono, Yunitha Centriana Venidora Solo, Maria Fransiska Vinsensia Ulia Rita Sila Wihelmina, Maria Wisrance Winda Ade Fitriya B Wua Laja, Yosepha Patricia Yakoba Yusina Muanley Yohanes Jefrianus Kehi Yuni Astriani Dewi, Ni Putu Zulkaidah Nur Ahzan Zulkaidah Nur Azhan