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All Journal Jurnal Pendidikan Matematika dan IPA Delta-Pi : Jurnal Matematika dan Pendidikan Matematika Jurnal Cendekia : Jurnal Pendidikan Matematika Journal on Education Jurnal Sains Riset SOSCIED JURNAL AXIOMA : Jurnal Matematika dan Pembelajaran Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika KUBIK: Jurnal Publikasi Ilmiah Matematika Jurnal Ilmiah Wahana Pendidikan MARISEKOLA: Jurnal Matematika Riset Edukasi dan Kolaborasi Dharmas Education Journal (DE_Journal) Kognitif: Jurnal Riset HOTS Pendidikan Matematika HEALTHY: Jurnal Inovasi Riset Ilmu Kesehatan ADIBA: Journal of Education Education Journal: General and Specific Research Lemma: Letters of Mathematics Education Gammath : Jurnal Ilmiah Program Studi Pendidikan Matematika Jurnal Cendekia Ilmiah Jurnal Pendidikan dan Keguruan
Marvel G. Maukar
Jurusan Matematika, Universitas Negeri Manado
Religion Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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PERSEPSI MAHASISWA TERHADAP PENGGUNAAN CHATGPT PADA MATA KULIAH PEMODELAN MATEMATIKA Garasut, Novresilia; Wenas, John Robby; Maukar, Marvel Grace
SOSCIED Vol 7 No 2 (2024): SOSCIED - November 2024
Publisher : LPPM Politeknik Saint Paul Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jsoscied.v7i2.846

Abstract

Artificial intelligence (AI) such as ChatGPT is applied in education as a tool in the learning process that plays a role in increasing access to information quickly and directly, so that students can more easily understand the material. The use of ChatGPT in modeling courses is triggered by satisfactory learning results, and in the learning process it is more time efficient and makes it easier for students to understand complex material in mathematical modeling courses. This research was conducted at Universitas Negeri Manado on students of the Mathematics Education Study Program, using a qualitative approach. Data were collected through questionnaires distributed online, as well as documentation of student learning outcomes with data analysis using a Likert Scale to measure student perceptions, including comfort of use, quality of information, and motivation to learn, evaluate, and use technology. The results showed that students benefited in the learning process due to the quick and relevant information from ChatGPT, as well as its ability to provide detailed answers. ChatGPT is considered to help their understanding in dealing with abstract concepts that often appear in mathematical modeling. On the other hand, students feel that the use of this AI still requires direct support from lecturers, especially for tasks that require critical and independent thinking. Although ChatGPT cannot replace the lecturer's role completely, its presence is supported to complement learning in a more efficient and interactive way, and allow students to learn more independently and actively
PENINGKATAN KEMAMPUAN PEMECAHAN MASALAH MATEMATIS SISWA MATERI SISTEM PERSAMAAN LINEAR DUA VARIABEL MELALUI PENERAPAN MODEL PROBLEM BASED LEARNING Mangobi, James U. L.; Maukar, Marvel G.; Poluan, Marsela M.
SOSCIED Vol 7 No 2 (2024): SOSCIED - November 2024
Publisher : LPPM Politeknik Saint Paul Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jsoscied.v7i2.868

Abstract

This research aims to examine the difference in improving mathematical problem solving abilities in the System of Linear Equations Two Variables material for students who applied the Problem Based Learning model and students who applied the Direct Instruction model. This research uses a quasi-experimental method, with a pretest-posttest control group design. The subjects in this research were 20 students in class VIIIA as the control class and 20 students in class VIIIB as the experimental class. Both classes are homogeneous and the same. Gain data analysis using the t-test concluded that there was a difference in the increase in the mathematical problem solving abilities of SPLDV material for students who applied the Problem Based Learning model and students who applied the Direct Instruction model. The results of the analysis of the level of students' mathematical problem solving abilities that apply the problem based learning model in the experimental class can be seen from the achievement of the KKM. Where 85% of students have been able to reach the KKM, while 15% of students are still below the KKM. This shows that the application of the problem based model has a better influence on increasing students' mathematical problem solving abilities
Penerapan Model STAD Berbantuan Software Algebrator dalam Pembelajaran Materi Persamaan Garis Lurus di SMP Negeri 3 Tondano Tammu, Thomas; Regar, Vivian E.; Maukar, Marvel G.
MARISEKOLA: Jurnal Matematika Riset Edukasi dan Kolaborasi Vol. 5 No. 1: April 2024
Publisher : Jurusan Matematika FMIPA Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/marisekola.v5i1.2267

Abstract

Penelitian ini bertujuan untuk mengetahui rata-rata hasil belajar siswa yang diajar menggunakan model pembelajaran kooperatif tipe STAD berbantuan aplikasi algebrator dengan hasil belajar siswa yang diajar menggunakan model pembelajaran kooperatif tipe STAD tanpa menggunakan aplikasi algebrator pada materi persamaan garis lurus di kelas VIII SMP Negeri 3 Tondano. Metode penelitian ini adalah tergolong metode eksperimen semu. Subjek dalam penelitian ini dipilih 2 kelas secara acak dari kelas VIII B yang berjumlah  25 orang siswa sebagai kelas eksperimen dan kelas VIII C yang berjumlah 25 orang siswa sebagai kelas kontrol. Data yang diambil dari penelitian ini adalah data hasil belajar siswa (selisih posttest-pretest). Hasil analisis data menggunakan uji - t dengan taraf signifikan 0,05, diperoleh bahwa  = 4,929 dan    = 1,678. Hal ini menunjukkan bahwa  >  sehingga tolak  dan terima  yaitu , yang artinya bahwa hasil belajar siswa yang diajar menggunakan model pembelajaran kooperatif tipe STAD berbantuan software Algebrator lebih unggul dari pada hasil belajar siswa yang di ajar menggunakan model pembelajaran kooperatif tipe STAD tanpa berbantuan software Algebrator dalam materi persamaan garis lurus SMP Negeri 3 Tondano.
Analisis kesalahan siswa dalam menyelesaikan soal cerita berdasarkan teori kastolan di SMP negeri 3 kombi Manawan, March Yakob; Pesik, Anekke; Maukar, Marvel Grace
Delta-Pi: Jurnal Matematika dan Pendidikan Matematika Vol 13, No 1 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/dpi.v13i1.7784

Abstract

Penelitian ini bertujuan untuk mengetahui tipe-tipe kesalahan yang dilakukan siswa kelas VII SMP N 3 Kombi dalam menyelesaikan soal cerita bentuk aljabar menurut teori Kastolan. Metode yang digunakan pada penelitian ini ialah metode deskriptif dan menggunakan pendekatan kualitatif. Instrumen pada penelitian ini yaitu tes tertulis. Subjek pada penelitian ini adalah siswa kelas VIII SMP N 3 Kombi berjumlah 8 orang siswa. Berdasarkan hasil analisis data yang dilakukan oleh peneliti, terdapat tiga jenis kesalahan yang dilakukan oleh siswa setelah menyelesaikan soal cerita bentuk aljabar yaitu kesalahan konseptual sebesar 25% atau sebanyak 2 orang siswa, kesalahan Prosedural sebesar 37,5% atau 3 orang siswa, dan kesalahan teknik sebesar 37,5% atau sebanyak 3 orang siswa, faktor penyebab kesalahan adalah siswa tidak mampu memilih dan menerapkan rumus untuk menyelesaikan soal, serta faktor penyebab kesalahan prosedural siswa adalah siswa kesulitan dalam menuliskan langkah-langkah dalam menyelesaikan soal, dan faktor penyebab kesalahan teknik adalah kurangnya ketelitian, serta siswa tidak mengecek kembali hasil pekerjaannya.
Peramalan Jumlah Wisatawan Nusantara di Kota Tomohon Menggunakan Regresi Linear Siwi, Vena Diane; Polii, Michelle; Tambayong, Fresa; Wowiling, Abel; Kelen, Divaria; Bungangu, Pricillya; Hamid, Hizkia; Mangobi, James U. L.; Maukar, Marvel
SOSCIED Vol 8 No 2 (2025): SOSCIED - November 2025
Publisher : LPPM Politeknik Saint Paul Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jsoscied.v8i2.965

Abstract

Tourism is a strategic sector that has an important role in promoting regional economic growth through increased local revenue and job creation. The province of North Sulawesi, especially the city of Tomohon, has superior tourism potential in the form of natural beauty and cultural wealth which is the main attraction for Indonesian tourists. Historical Data show a trend towards an increase in the number of tourist visits from 2015 to 2024, despite a significant decrease in 2020 due to the COVID-19 pandemic. This study aims to predict the number of tourists visiting the city of Tomohon archipelago using simple linear regression. Based on the results of the analysis, the regression equation y = 276,756 + 23,468 X was obtained, which showed that the number of tourists increased on average by 23,468 people per year. Using this model, the prediction of the number of Indonesian tourists visiting Tomohon City in 2025 is around 534,904 people. The results of this forecasting are expected to provide useful information for the development of sustainable and competitive tourism.
PREDIKSI JUMLAH MAHASISWA BARU FMIPA-K UNIMA MENGGUNAKAN MODEL REGRESI NON-LINEAR Lengkong, Ningsi M.; Langat, Rahel A.; Parapaga, Eka; Tetiwar, Geraldo; Tuerah, Auriel; Pangemanan, Tamariska; Mangobi, James U. L.; Maukar, Marvel G.
SOSCIED Vol 8 No 2 (2025): SOSCIED - November 2025
Publisher : LPPM Politeknik Saint Paul Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jsoscied.v8i2.970

Abstract

This study aims to forecast the number of new students in each study program within the Faculty of Mathematics, Natural Sciences, and Earth Sciences at Manado State University (UNIMA) using a nonlinear regression model, specifically a polynomial model, based on historical enrollment data from the past five years. Accurate forecasting is expected to significantly support more strategic planning in creating a better campus environment and improving the comfort of future prospective students. The data in this study were processed using Microsoft Excel software by developing a third-order polynomial model, selected based on the coefficient of determination (R-squared) as the most suitable fit for the available data. The results indicate that the number of new students in each study program at FMIPA-K UNIMA is projected to increase significantly over the next ten years. This research can serve as a valuable reference for the faculty and study programs to anticipate future enrollment trends.
PEMODELAN MATEMATIKA JUMLAH PENDUDUK MINAHASA UTARA DENGAN PENDEKATAN LOGISTIK Lubis, Anggelica; Ruata, Leli; Koesni, Artia; Pandei, Aifel; Sumampouw, Franklin A. W; Sabe, Altomi M; Mangobi, James U. L.; Maukar, Marvel
SOSCIED Vol 8 No 2 (2025): SOSCIED - November 2025
Publisher : LPPM Politeknik Saint Paul Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jsoscied.v8i2.1049

Abstract

The development of population size is a crucial factor in determining the direction of regional development. North Minahasa Regency has shown a relatively stable population growth trend each year. This study aims to construct a mathematical model using a logistic approach to predict the population of North Minahasa from 2020 to 2024. The logistic model was selected because it effectively represents growth that does not continuously increase but slows down as resources become limited. The prediction results are expected to support more accurate and sustainable development policies.
Model Eksponensial dan Logistik pada Pertumbuhan Penduduk di Kota Tomohon Lenak, Lorenza Raquel; Pascoal, Richard Gland; Layuk, Jelita Milka Tirza; Arunde, Prida; Kenap, Wilka Michael; Silaban, Afia Rebeka; Katampuge, Widiawaty; Mangobi, James U. L.; Maukar, Marvel Grace
Jurnal Ilmiah Wahana Pendidikan Vol 12 No 1.D (2026): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Population growth that continues to increase will have a positive and negative impact. To anticipate the occurrence of negative impacts, we have to make forecasts about population growth. This study aims to forecast population growth in Tomohon City using differential equations called Exponential Model of Population Growth and Logistic Model of Population Growth. In this study, the authors used population data from the Central Bureau of Statistics in Tomohon City. The authors took data in 2015-2024. The results showed that the most appropriate exponential model to forecast the number of population is a model with k = 0.00297402 and the forecast number of population in Tomohon City in 2025 is 104.121 people. Meanwhile, the most appropriate logistic model to forecast the number of population is a model with r = 0.05283328 and the forecast number of population in Tomohon City in 2025 (t = 10) is 104,113 people
Model Matematika Untuk Optimasi Jadwal Kuliah Mahasiswa Jurusan Matematika Unima Dengan Menggunakan Algoritma Penjadwalan Mengko, Alva; Maramis, Nichy M.; D, Yuliana; Sampu, Saskia G.; Pondaag, Alvianus G.; Sarese, Chandra F. A.; Arjana, I G. N.; Mangobi, James U. L.; Maukar, Marvel G.
Jurnal Ilmiah Wahana Pendidikan Vol 12 No 1.A (2026): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penjadwalan kegiatan belajar mengajar di institusi pendidikan tinggi merupakan tantangan yang rumit dan kompleks. Dalam penelitian ini, berbagai elemen yang harus dipertimbangkan saat menjadwalkan dibahas, termasuk keterbatasan ruang, ketersediaan dosen, dan kebutuhan mahasiswa. Penjadwalan yang efektif sangat penting untuk meningkatkan produktivitas dan kualitas pendidikan, serta untuk memenuhi berbagai aturan dan batasan yang ada dalam sistem pendidikan tinggi. Banyak faktor yang memengaruhi penjadwalan kuliah, termasuk waktu perkuliahan, ruangan, dan pengatur. Dalam hal ini, penjadwalan kuliah dapat dianggap sebagai masalah optimasi yang memerlukan pendekatan sistematis berbasis teori dan algoritma. Tujuan penelitian ini adalah untuk mengembangkan model matematika yang dapat digunakan untuk mengoptimalkan jadwal kuliah untuk meminimalkan bentrokan jadwal dan memaksimalkan penggunaan sumber daya yang tersedia. Akibatnya, penelitian ini diharapkan dapat memberikan kontribusi signifikan untuk meningkatkan efisiensi penjadwalan perguruan tinggi dan menyediakan solusi praktis untuk masalah yang sering muncul saat menyusun jadwal kuliah.
Model Matematika Eksponensial Pada Laju Pertumbuhan Populasi Penduduk Di Kabupaten Minahasa Maradia, Kjallen Martha; Tondolilis, Cristania Gabriella Fibry; Togatorop, Ivan G. A; Lumiwu, Rosalya Imelda; Anar, Nurhayati Oktavia; Manoi, Reika; Mangobi, James U. L.; Maukar, Marvel Grace
Jurnal Ilmiah Wahana Pendidikan Vol 12 No 1.D (2026): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pertumbuhan penduduk merupakan salah satu indikator penting dalam perencanaan pembangunan daerah. Penelitian ini bertujuan untuk membangun model matematika berbasis eksponensial dalam menganalisis laju pertumbuhan populasi penduduk di Kabupaten Minahasa, Sulawesi Utara. Data yang digunakan diperoleh dari Badan Pusat Statistik (BPS) Minahasa untuk periode tahun 2017 hingga 2021. Pendekatan model eksponensial digunakan dengan asumsi bahwa laju pertumbuhan penduduk sebanding dengan jumlah populasi pada waktu tertentu. Model dikembangkan melalui penghitungan konstanta pertumbuhan kkk untuk setiap tahun, yang menunjukkan nilai bervariasi antara 0,397% hingga 1,502% per tahun. Hasil pemodelan menunjukkan bahwa model eksponensial mampu memprediksi jumlah penduduk dengan tingkat akurasi yang cukup baik jika dibandingkan dengan data aktual. Dengan demikian, model ini dapat dijadikan sebagai alat bantu dalam merumuskan kebijakan kependudukan dan perencanaan pembangunan di daerah. Penelitian ini juga membuka peluang untuk pengembangan model lebih lanjut dengan mempertimbangkan faktor-faktor eksternal lain yang mempengaruhi dinamika populasi.
Co-Authors A. Pesik Adiputera N. Lontoh Anar, Nurhayati Oktavia Anetha L.F. Tilaar Arjana, I G. N. Arunde, Prida Bungangu, Pricillya D, YULIANA Derel Filandy Kaunang Ermita Ermita F. Kaunang , Derel Gabriel E. W. Mosey Gahung, Veiren Sitovaya Noviany Garasut, Novresilia Gebi Bone Grafi Lonto Hamid, Hiskia Israel Hamid, Hizkia Husain, Zubair Ichdar Domu James U.L. Mangobi Jhon R Wenas Joan Shelomikha Mawikere Jodie A. Jacob John R. Wenas Jorry F Monoarfa Julyan Davino Asrisal Salarupa Karina, Lira Katampuge, Widiawaty Kelen, Divaria Kenap, Wilka Michael Koesni, Artia Lajaa, Frangkrisius Langat, Rahel A. Layuk, Jelita Milka Tirza Lenak, Lorenza Raquel Lengkong, Ningsi M. Lubis, Anggelica Lumanaw, Joshua Apriano Lumiwu, Rosalya Imelda Mamangkey, Tegar F.R. Manalu, Roito Brigita Manawan, March Yakob Manoi, Reika Maradia, Kjallen Martha Maramis, Nichy M. March Yakob Manawan Mardino M. Maloky Mengko, Alva Michella Angelie Pajow Millenika Putri Purba Monalisa Minggulina Markumbo Monalisa Minggulina Markumbo Mongkol, Sagita Healthy Ontang Manurung Pai, Rijelio Nathanael Pajow, Michella Angelie Palullu, Aben Pandei, Aifel Pangemanan, Tamariska Parapaga, Eka Pascoal, Richard Gland Patricia Putri Pinatik Patricia V. J. Runtu Polii, Michelle Poluakan, Meylan Jashinta Poluan, Marsela M. Pondaag, Alvianus G. Riedel Jonathan Langitan Rine Ervine Margaretha Supit Rori, Gideon Ruata, Leli Runtunuwu, Feren F. Rygel Angkaa Nigel Marthing Sabe, Altomi M Sampu, Saskia G. Santje M. Salajang Sarese, Chandra F. A. Selfie L. Kumesan Silaban, Afia Rebeka Siwi, Vena Diane Somba, Genefif Tavania Meyni Sumampouw, Franklin A. W Tambayong, Fresa Tammu, Thomas Tangkoro, Melinda Tesalonika Junira Mogi Tetiwar, Geraldo Togatorop, Ivan G. A Tondolilis, Cristania Gabriella Fibry Tuerah, Auriel Verent Christy Michel Lengkey Vivian E. Regar Wenas, John Robby Wowiling, Abel