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All Journal Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton MES: Journal of Mathematics Education and Science JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) BERNAS: Jurnal Pengabdian Kepada Masyarakat JagoMIPA: Jurnal Pendidikan Matematika dan IPA Dharmas Education Journal (DE_Journal) Jurnal Kajian Ilmu Pendidikan (JKIP) PIJAR: Jurnal Pendidikan dan Pengajaran Panthera : Jurnal Ilmiah Pendidikan Sains dan Terapan Innovative: Journal Of Social Science Research SUBSERVE: Community Service and Empowerment Journal Jurnal Pengabdian Multidisiplin Indonesia SAMBARA: Jurnal Pengabdian Kepada Masyarakat
Rani Farida Sinaga
Universitas HKBP Nomensen Medan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Perbedaan Kreativitas Siswa Menggunakan Metode Pembelajaran Ispring Quizmaker Dengan Model Paikem Konvensional Pada Materi Pokok Eksponen Dan Logaritma Kelas X SMA Negeri 8 Medan Panjaitan, Ike Theresia Handayani Br; Simbolon, Lolyta Damora; Sinaga, Rani Farida; Gultom, Sanggam P.; Naibaho, Tutiarny
Jurnal Kajian Ilmu Pendidikan (JKIP) Vol. 5 No. 2 (2024): Jurnal Kajian Ilmu Pendidikan (JKIP)
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jkip.v5i2.1033

Abstract

Penelitian ini bertujuan untuk mengetahui perbedaan kreativitas siswa dengan menggunakan metode pembelajaran Ispring Quizmaker dengan model PAIKEM konvensional pada materi pokok eksponen dan logaritma kelas X SMA Negeri 8 Medan. Jenis penelitian ini adalah quasi eksperimen dengan populasi penelitian yaitu seluruh siswa kelas X SMA Negeri 8 Medan T.A 2025/2026. Dengan menggunakan teknik Cluster Random Sampling diperoleh sampel penelitian kelas eksperimen (X-5) dan kelas kontrol (X-6). Instrumen yang digunakan adalah soal Post-Test berbentuk essay yang telah diujicobakan pada instrumen tersebut. Setelah dilakukan perlakuan yang berbeda diperoleh rata-rata skor post-test kelas eksperimen I sebesar 87,33 dengan simpangan baku sebesar 2665,33 dan rata-rata skor post-test kelas eksperimen II sebesar 85,33 dengan simpangan baku sebesar 2615,33. Hasil uji prasyarat data post-test kelas eksperimen I Ispring Quizmaker dan kelas eksperimen konvensional II PAIKEM menyatakan bahwa sampel berdistribusi normal dan homogen. Selanjutnya dilakukan uji t satu pihak (???? = 0,05). Dari hasil uji t satu pihak tersebut disimpulkan bahwa terdapat perbedaan kreativitas siswa yang menggunakan metode pembelajaran Ispring Quizmaker dengan model PAIKEM konvensional pada materi pokok eksponen dan logaritma kelas X SMA NEGERI 8 MEDAN.
Prediction Model Graduation Student with Naive Bayes Algorithm Simbolon, Lolyta Damora; Sinaga, Rani Farida; Pangaribuan, Lena Rosdiana; Manalu, Sofy Kristiani
Panthera : Jurnal Ilmiah Pendidikan Sains dan Terapan Vol. 6 No. 1 (2026): January
Publisher : Lembaga Pendidikan, Penelitian, dan Pengabdian Kamandanu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/panthera.v6i1.876

Abstract

One of indicator important in evaluation quality something college tall is level graduation students. Graduation rate appropriate time students become a reflection from the quality of the learning process which ultimately also influences accreditation institutions or study program. The purpose of this research is to analyze how to increase student graduation rates and reduce dropout rates through more accurate and effective data-based policy recommendations. There are Lots factor affecting graduation student so that need determined factors significant influence level graduation said. With do analysis to data and predictions graduation students, institutions expected can give appropriate intervention for increase level graduates and identify at-risk students experience late graduation. In research this using the Naïve Bayes method for predict graduation student based on various factors. The data used in study this is the data obtained from students of the Mathematics Education Study Program, Faculty of Teacher Training and Education, HKBP Nommensen University. The results of study this show accuracy 80%, precision 88.24%, and recall 88.24%.
Analysis of Critical Thinking Skills in Decision Making with R Project in Mathematical Statistics Course Sinaga, Rani Farida; Simbolon, Lolyta Damora; Manik, Efron; Manalu, Sofy Kristiani
Panthera : Jurnal Ilmiah Pendidikan Sains dan Terapan Vol. 6 No. 1 (2026): January
Publisher : Lembaga Pendidikan, Penelitian, dan Pengabdian Kamandanu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/panthera.v6i1.1122

Abstract

This study aims to analyze how the use of R Project Software in mathematical statistics courses can contribute to improving students' critical thinking skills, especially in the context of data-based decision making. Indicators of critical thinking in decision making with R Project: 1) interpretation (can write what is known and asked in the question clearly or identify the problem correctly); 2) analysis (can write what must be done in solving the problem); 3) inference (can draw conclusions from what is asked logically and visualize the results); 4) evaluation (can write down the solution to the problem and build a model to evaluate alternatives); and 5) explanation (can provide reasons for the conclusions drawn). The research method uses a descriptive quantitative approach. This research has a population of 80 students with a sample size of 40 students using non-probability sampling with the purposive sampling technique. By using a significance level of 5% and a df value of nk = 40 - 2 = 38, the ttable value is 1.686. The tcount value of 3.383 exceeds the ttable value of 1.686, indicating that the null hypothesis is rejected at a 95% confidence level. And, keep the abstract concise by stating only the conclusion of the statistical test (significant positive effect). Thus, R Project can be recommended as a natural analysis tool for learning mathematical statistics.
Co-Authors Adi Suarman Situmorang, Adi Suarman Arthur Simanjuntak Br Purba, Friska Yanti Carolina Carolina, Carolina dame ifa sihombing Ginting, Audy Christie Putri Br Girsang, Rifka Sapriani Gultom, Kristina Gultom, Sanggam P Gultom, Sanggam P. Hutasoit, Julinca Hutasoit, Kristi Kondios Meidarlin Pasaribu Lastri, Lastri Lena Rosdiana Pangaribuan Lia Deniati Manurung Malau, Farmin Malau, Vemmy Rebecca Rohana Manalu, Sofy Kristiani Manik, Efron Marpaung, Rince Naibaho, Tutiarny Napitupulu, Cherry Carolina Nurlina Panggabean, Marissa Nurianna Panjaitan, Ike Theresia Panjaitan, Ike Theresia Handayani Br Panjaitan, Simon M. Pardosi, Santa ceacilia Rosdiana Rajagukguk Ruth Mayasari Simanjuntak Sahat Taruli Siahaan Saragih, Renita Sari, Nova Yunita Sauduran, Golda Novatrasio Siahaan, Lasriama Elsa Widiyanti Siahaan, Lasriama Widiyanti Sihite, Tionopita sihombing, dame ifa Sihombing, Mitha Lestari Silalahi, Elsa Silalahi, Putra Aksido Simbolon, Lolyta Damora Sirait, Debora Situmorang, Mahanda Dinaria Tambunan, Hardi