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All Journal Mimbar PGSD Undiksha Techno.Com: Jurnal Teknologi Informasi JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA AKSIOMA: Jurnal Program Studi Pendidikan Matematika AlphaMath: Journal of Mathematics Education Al Ishlah Jurnal Pendidikan Union: Jurnal Ilmiah Pendidikan Matematika Jurnal Bidang Pendidikan Dasar Pi: Mathematics Education Journal Desimal: Jurnal Matematika Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Ulul Albab JMM (Jurnal Masyarakat Mandiri) Justek : Jurnal Sains Dan Teknologi JTAM (Jurnal Teori dan Aplikasi Matematika) Paedagoria : Jurnal Kajian, Penelitian dan Pengembangan Kependidikan JCES (Journal of Character Education Society) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Pendekar : Jurnal Pendidikan Berkarakter Jurnal Riset Teknologi dan Inovasi Pendidikan (Jartika) JPMI (Jurnal Pendidikan Matematika Indonesia) Beta: Jurnal Tadris Matematika Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Cendekia : Jurnal Pendidikan Matematika Journal of Educational Research and Evaluation Jurnal Pemikiran dan Penelitian Pendidikan Matematika (JP3M) Indonesian Journal of Educational Science (IJES) Jurnal Varian Community Development Journal: Jurnal Pengabdian Masyarakat Bakti Cendana: Jurnal Pengabdian Masyarakat JPMB: Jurnal Pemberdayaan Masyarakat Berkarakter Didaktika: Jurnal Kependidikan Mosharafa: Jurnal Pendidikan Matematika Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal Abdimas Bina Bangsa Journal Of Human And Education (JAHE) Penamas: Journal of Community Service Indonesian Journal Of Educational Research and Review Abdi Cendekia: Jurnal Pengabdian Masyarakat Kreasi: Jurnal Inovasi dan Pengabdian Kepada Masyaraka Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Pi: Mathematics Education Journal Jurnal Pengabdian Ahmad Yani Aceh International Journal of Science and Technology Jurnal Riset Teknologi dan Inovasi Pedidikan (JARTIKA) BATIK: Jurnal Pengembangan dan Pengabdian Masyarakat Multikultural Darma Diksani: Jurnal Pengabdian Ilmu Pendidikan, Sosial, dan Humaniora Journal of Community Empowerment Advance Sustainable Science, Engineering and Technology (ASSET) Sasambo: Jurnal Abdimas (Journal of Community Service) Jurnal Kegiatan Pengabdian Mahasiswa (JKPM) Media Pendidikan Matematika Indonesian Journal on Learning and Advanced Education (IJOLAE)
Vera Mandailina, Vera
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The effect of group investigation model of learning on improving mathematics learning outcomes Kuratul Aini; Mahsup Mahsup; Vera Mandailina; Abdillah Abdillah; Putri Ayu Febriani
UNION : Jurnal Ilmiah Pendidikan Matematika Vol 12 No 2 (2024)
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/union.v12i2.17515

Abstract

The instructional model is a crucial component in the educational process. This study evaluates the effectiveness of the Group Investigation learning model in enhancing students' mathematics outcomes. A quantitative research method with a One Group Pretest-Posttest design was used, involving 29 eighth-grade students. Data were analyzed using SPSS version 25, revealing a pretest score of 0.010 and a posttest score of 0.063 after implementing the Group Investigation model. The average posttest score was 77.91, indicating a significant impact on learning outcomes. Observations over three sessions showed an increase in student participation from 26.97% with an average score of 2.24 in Session I (categorized as "Less Active") to 42.79% with an average score of 3.56 in Session II, and 45.38% with an average score of 3.78 in Session III (both categorized as "Active"). This increase demonstrates that the Group Investigation model not only enhances student participation but also makes students more active in learning, thereby improving mathematics outcomes. Therefore, the Group Investigation model is an effective strategy for enhancing students' achievement in mathematics. Further research with more refined methods and tools is needed to confirm these findings.
Penggunaan Tools Tutor Maple dalam Meningkatkan Kemampuan Mahasiswa dalam Menyelesaikan Soal Matrik dan Sistem Persamaan Linier Syaharuddin Syaharuddin; Vera Mandailina; Lalu Sucipto; Abdillah Abdillah; Nuthya Rahmatin; Sirajuddin Sirajuddin; Mahsup Mahsup
Kreasi: Jurnal Inovasi dan Pengabdian kepada Masyarakat Vol. 6 No. 1 (2026): April
Publisher : BALE LITERASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/kreasi.v6i1.2202

Abstract

Pelatihan pemanfaatan Tools Tutor Maple dilaksanakan untuk mengatasi rendahnya kemampuan mahasiswa dalam menyelesaikan materi matriks dan Sistem Persamaan Linier (SPL), khususnya pada aspek manipulasi baris dan penggunaan sintaks komputasi. Kegiatan ini bertujuan meningkatkan pemahaman prosedural serta ketelitian teknis mahasiswa dalam mengoperasikan perangkat lunak Maple sebagai bagian dari pembelajaran aljabar linier modern. Sebanyak 25 mahasiswa berpartisipasi sebagai mitra dalam pelatihan ini. Metode kegiatan mencakup ceramah interaktif untuk memperkuat konsep dasar, demonstrasi live coding yang menunjukkan penerapan sintaks secara langsung, dan simulasi hands-on yang memungkinkan mahasiswa berlatih menyelesaikan SPL berbasis matriks menggunakan Maple. Pelaksanaan diawali survei diagnostik untuk mengidentifikasi tingkat pemahaman awal dan ditutup dengan evaluasi melalui tes praktik dua soal. Sistem evaluasi mengombinasikan analisis kuantitatif hasil tes dan observasi terhadap ketepatan peserta dalam mengeksekusi perintah komputasi. Hasil pelatihan menunjukkan peningkatan kompetensi yang jelas. Pada soal pertama hanya 14 dari 25 mahasiswa (56%) yang menjawab benar, sedangkan pada soal kedua meningkat menjadi 22 mahasiswa (88%), atau terjadi kenaikan 32 poin persentase. Temuan ini menegaskan bahwa integrasi Tools Tutor Maple efektif memperkuat pemahaman prosedural sekaligus meningkatkan akurasi teknis mahasiswa dalam penyelesaian SPL berbasis matriks.
MENGATASI BULLYING: PELATIHAN DAN STRATEGI UNTUK MEMBANGUN LINGKUNGAN SEKOLAH YANG AMAN Syaharuddin Syaharuddin; Vera Mandailina; Khairul Alimin; Jumratul Auliah; Suaema Suaema; Alia Alia; Muhammad Abdul Haris Munandar; Yuliatun Yuliatun
Journal of Community Empowerment Vol 3, No 2 (2024): Desember
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jce.v3i2.27680

Abstract

ABSTRAKDi lingkungan sekolah, bullying dapat menyebabkan dampak serius pada kesehatan mental siswa termasuk stres, kecemasan, dan depresi, serta mengurangi prestasi akademik dan interaksi sosial. Selain itu, bullying dapat menciptakan suasana sekolah yang tidak aman yang berdampak negatif pada seluruh komunitas sekolah. Kegiatan sosialisasi tentang bullying bertujuan untuk meningkatkan pemahaman dan wawasan siswa MTs NW Senyiur Lombok Timur mengenai bullying, mencakup pengetahuan umum, perspektif agama, dan sudut pandang hukum. Metode yang digunakan dalam kegiatan ini adalah ceramah, yang disampaikan kepada 174 siswa-siswi dari kelas 7, kelas 8, dan kelas 9. Evaluasi dilakukan melalui sesi tanya jawab untuk mengukur efektivitas pemahaman siswa. Hasil evaluasi menunjukkan bahwa efektivitas sosialisasi bervariasi di setiap kelas. Kelas 7 mencatat efektivitas sebesar 90%, menandakan pemahaman yang baik namun masih perlu perbaikan. Kelas 8 menunjukkan efektivitas yang lebih tinggi, yaitu 93%, kemungkinan disebabkan oleh relevansi materi dan metode yang lebih efektif. Kelas 9 mencapai efektivitas tertinggi sebesar 97%, menunjukkan pemahaman mendalam yang mungkin dipengaruhi oleh kedewasaan dan partisipasi aktif siswa. Temuan ini menegaskan bahwa pemahaman tentang bullying meningkat seiring dengan tingkat kelas dan bahwa strategi sosialisasi yang lebih matang dapat berdampak positif pada pemahaman siswa. Kata kunci: Pencegahan Bullying; Pelatihan Efektif; Strategi Penanganan; Lingkungan Sekolah Sehat. ABSTRACTIn the school environment, bullying can have severe consequences for students' mental health, including stress, anxiety, and depression, and can also diminish academic performance and social interactions. Furthermore, bullying can create an unsafe school atmosphere, negatively impacting the entire school community. The objective of the bullying awareness program was to enhance the understanding and awareness of students at MTs NW Senyiur Lombok Timur regarding bullying, covering general knowledge, religious perspectives, and legal viewpoints. The method employed was a lecture format, delivered to 174 students from grades 7, 8, and 9. Evaluation was conducted through a question-and-answer session to assess the effectiveness of students' understanding. The evaluation results revealed varying effectiveness across grades. Grade 7 achieved an effectiveness rate of 90%, indicating a good understanding but with room for improvement. Grade 8 showed a higher effectiveness rate of 93%, likely due to the relevance of the material and more effective methods. Grade 9 reached the highest effectiveness rate of 97%, suggesting a deeper understanding possibly influenced by the students' maturity and active participation. These findings confirm that understanding of bullying increases with grade level and that more developed socialization strategies can positively impact students' comprehension. Keywords: Bullying Prevention; Effective Training; Coping Strategies; Healthy School Environment.
Eksplorasi Tingkat Kepuasan Mahasiswa terhadap Integrasi Teknologi dalam Pembelajaran Statistik Linda Linda; Vera Mandailina
Ulul Albab: Majalah Universitas Muhammadiyah Mataram Vol 27, No 1 (2023): Januari
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jua.v27i1.23336

Abstract

Abstrak: Penelitian ini merupakan sebuah penelitian kuantitatif dengan pendekatan survey. Subjek penelitian melibatkan 40 mahasiswa, terdiri dari 9 mahasiswa laki-laki dan 31 mahasiswi perempuan. Instrumen yang digunakan adalah angket Skala Likert dengan 15 pertanyaan. Analisis data dilakukan menggunakan uji-t. Penelitian ini bertujuan untuk menginvestigasi sejauh mana tingkat kepuasan mahasiswa terhadap integrasi teknologi dalam konteks pembelajaran statistik. Partisipasi dari 40 mahasiswa menjadi representatif dari populasi mahasiswa yang terlibat dalam proses pembelajaran ini. Instrumen angket Skala Likert digunakan untuk menggali persepsi dan tingkat kepuasan mahasiswa terhadap penggunaan teknologi dalam pembelajaran statistik. Hasil analisis data menggunakan uji-t menunjukkan nilai sebesar 0.032 dengan signifikansi 0.975. Temuan ini mengindikasikan bahwa tidak terdapat perbedaan signifikan dalam tingkat kepuasan mahasiswa sebelum dan setelah penerapan integrasi teknologi. Meskipun demikian, nilai ini membuka peluang untuk eksplorasi lebih lanjut mengenai faktor-faktor yang mungkin mempengaruhi persepsi mahasiswa terhadap integrasi teknologi dalam pembelajaran statistik. Penelitian ini memberikan wawasan yang berharga untuk pengembangan strategi pembelajaran yang lebih efektif dan mendukung implementasi teknologi dalam kurikulum statistik.Abstract: This research employs a quantitative approach through a survey methodology, involving 40 participants, consisting of 9 male students and 31 female students. The instrument utilized is a Likert Scale questionnaire comprising 15 items, and data analysis is conducted through a t-test. The primary objective is to investigate the extent of students' satisfaction with the integration of technology in the context of statistics education. The participation of 40 students is considered representative of the broader student population engaged in the learning process. The Likert Scale questionnaire serves as an instrument to explore students' perceptions and satisfaction levels regarding the utilization of technology in statistics education. The findings from the t-test analysis reveal a value of 0.032 with a significance level of 0.975. These results suggest no significant difference in students' satisfaction levels before and after the implementation of technology integration. Nevertheless, this outcome paves the way for further exploration into factors that may influence students' perceptions of technology integration in statistics education. The study provides valuable insights for the development of more effective teaching strategies and supports the integration of technology into the statistics curriculum.
The Role of Mathematics in Machine Learning for Disease Prediction: An In-Depth Review in the Healthcare Domain Abdillah; Syaharuddin Syaharuddin; Vera Mandailina; Saba Mehmood
Advance Sustainable Science Engineering and Technology Vol. 6 No. 4 (2024): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i4.845

Abstract

The rapid advancements in healthcare technologies and the increasing complexity of medical data have made it imperative to explore and optimize predictive models for disease management. This study aims to conduct a systematic literature review to identify advancements, challenges, and opportunities in disease prediction using machine learning (ML) within the healthcare domain. The literature sources include Scopus, DOAJ, and Google Scholar, covering the period from 2013 to 2024. The findings reveal that both machine learning (ML) and deep learning (DL) algorithms have significant potential for disease prediction and treatment outcomes in various clinical contexts. Algorithms such as Random Forest, Logistic Regression, and ensemble techniques like Boosting have demonstrated strong performance in numerous studies. However, the effectiveness of these algorithms is highly context-dependent, including the type of disease, patient characteristics, and available data. Deep learning, particularly Convolutional Neural Networks (CNNs) and hybrid Long Short-Term Memory (LSTM) models, excels in handling complex, high-dimensional data, providing higher prediction accuracy compared to traditional ML models. This research shows that deep learning models, especially CNN and hybrid LSTM, achieve higher accuracy in disease prediction compared to traditional ML models. However, challenges related to data quality, privacy, and the underlying mathematical modeling of these algorithms remain to be overcome for wider applications.
Co-Authors - Abdillah - Syaharuddin -, Ibrahim - A.A. Ketut Agung Cahyawan W Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Abdillah Adhiim Rizky, Abdul Agus Herianto Agustian, Bayu Ahmad Ahmodu, Abdul-Lateef Olamide Aini, Kuratul Alfiana Sahraini Alia Alia Amina Tusaadia Andi Saputra Anggita Denia Anggriyani, Meli Aqodiah Aqodiah Ariani, Zaenafi Arif, April Mulyanas Aryani, Nofi Ashraf, Hameed Astriyani Oktafian Aulia, Hartika Azmiatun Solehah Baiq Sulislia Lumsmayanti David Hermansyah Desi Nadila Desi Ratnasari Dewi Pramita Dewi Pramita Dewi, Sopian Dian Eka Maya Sari Dwi Hastuti, Intan Dwi Noorma Putri Eka Fitriani Eka Fitriani Eka Fitriani Evi Febriana Evi Febriana, Evi Farah Heniati Santosa Febriani, Putri Ayu Feni Feni Juliani Fujiaturrahman, Sukron Gervas, Hamenyimana Emanuel Habib Ratu Perwira Negara Habibi Ratu Perwira Negara Hadawiyah, Roqib Atul Hadi, Alfian Rahman Hafsah Haifaturrahmah, Haifaturrahmah Hartika Aulia Hartika, Lina Hartoyo, Servasius Hendi Hidayah Hermansyah, David Hidayah, Nurul Iman Hidayanti, Nur Fitri Hidayati Ibrahim Ibrahim Ibrahim Ibrahim Iddrisu, Mohammed Muniru Ilham Ilham Intan Dwi Hastuti Jauhari, Lutfi Josua Kabunggul Jumratul Auliah Khairul Alimin Khosiah Khosiah Khosiah Kirti Verma Kuratul Aini Lailatul Hikmah, Wahyu Laksmi Nusa Rinjayani, Dewi Lalu Sucipto Linda Linda Linda Linda Mahsup Mahsup Mahsup Mahsup Mahsup Mahsup Mahsup Mahsup Mahsup, Mahsup Malik Ibrahim Malik Ibrahim Mappanyompa, Mappanyompa Mariyati, Yuni Maulana, M. Rizki Ma’ruf, Amar Mehmood, Saba Muhamad Muhamad Muhammad Abdul Haris Munandar Muhammad Nizaar Muhdar, Syafruddin Muslimin, Ikhwanul Nadila, Desi Nurfiati Nurfiati Nurhalimah, Atin Nurjannah Nurjannah Nurmiwati, Nurmiwati Nurul Hikmah Nuthya Rahmatin Oktyawati, Mega Putri Ayu Febriani Rahman, Nanang Rahman, Yosi Solidatul Rahmaniah, Rima Ratni Purwasih Raza, Wasim Riadi, Riadi Rima Rahmaniah Rini Anjani Rini, Widia Rippi Maya Rody Satriawan Rosada Rosada Saba Mehmood Saba Mehmood Saba Mehmood Saddam Saddam Saddam Saddam, Saddam Sahara, Ani Sahraini, Alfiana Salma Salma Sangputri Sidik Sari, Nur Indah Sari, Nursina Shaufani Ayu Sukma Dewi Shofiana Shofiana Sholehah, Azmiatun Sintayana Muhardini Sirajuddin Sirajuddin Sirajuddin Sirajuddin Sirajuddin Sirajuddin Siti Arfa Halisa Siti Fatimah Sri Rejeki Suaema Suaema Sucipto, Lalu Supardi Supardi Suvriadi Panggabean Syaharuddin Syaharuddin Syaharuddin Syaharuddin Syaharuddin Syaharuddin Syaharuddin Syaharuddin Uswatun Hasanah Wahyu Ningsih Wasim Raza Wasim Raza Winda Sari Yuliatun Yuliatun Yuni Susilowati Yunita Septiana Anwar Yunita Septriana Anwar Zaenab Jamaludin Zaenudin Zaenudin Zubaidah, Risna Zulkarnain, Zulkarnain