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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH FARABI: Jurnal Matematika dan Pendidikan Matematika Jurnal IPTEK Bagi Masyarakat Al-Irsyad Journal of Mathematics Education SUBSERVE: Community Service and Empowerment Journal
Muhammad Bayu Al Dhana
Universitas Royal
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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IMPLEMENTASI MEDIA PEMBELAJARAN INTERAKTIF MATEMATIKA BERBASIS CANVA TERHADAP SISWA SEKOLAH DASAR Muhammad Bayu Al Dhana; Nurullita Astriani; Andrew Ramadhani; Namira Seftia Dewi; Sukma Wati
SUBSERVE: Community Service and Empowerment Journal Vol. 4 No. 2 (2026): Juli 2026
Publisher : Prime Identity Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67766/scsej.v4i2.195

Abstract

Implementasi media pembelajaran interaktif berbasis teknologi digital menjadi salah satu upaya untuk meningkatkan kualitas pembelajaran matematika di sekolah dasar. Namun, pada kenyataannya proses pembelajaran matematika masih banyak dilakukan secara konvensional sehingga kurang mampu menarik minat dan motivasi belajar siswa. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mengimplementasikan media pembelajaran interaktif matematika berbasis Canva terhadap siswa sekolah dasar guna menciptakan proses pembelajaran yang lebih menarik, kreatif, dan efektif. Metode pelaksanaan kegiatan dilakukan melalui tahap observasi, perancangan media pembelajaran menggunakan Canva, pelaksanaan pembelajaran interaktif, serta evaluasi terhadap respon dan keterlibatan siswa selama kegiatan berlangsung. Media pembelajaran yang dikembangkan memuat unsur visual, warna, dan latihan interaktif yang disesuaikan dengan karakteristik siswa sekolah dasar sehingga memudahkan siswa dalam memahami konsep matematika secara konkret dan menyenangkan. Hasil kegiatan menunjukkan bahwa penggunaan media pembelajaran berbasis Canva mampu meningkatkan antusiasme, partisipasi, dan motivasi belajar siswa dalam mengikuti pembelajaran matematika. Selain itu, siswa lebih aktif dalam proses pembelajaran dan lebih mudah memahami materi yang diberikan. Dengan demikian, implementasi media pembelajaran interaktif matematika berbasis Canva dapat menjadi alternatif inovatif dalam mendukung proses pembelajaran yang lebih efektif dan menarik di sekolah dasar.
KEMAMPUAN KONEKSI MATEMATIS SISWA DENGAN MENGGUNAKAN PENDEKATAN MATEMATIKA REALISTIK Nurullita Astriani; Muhammad Bayu Al Dhana; Lola Zeramenda Br Tarigan; Nayla Aiwina Putri
Al-Irsyad Journal of Mathematics Education Vol 4 No 2 (2025): AL–IRSYAD JOURNAL OF MATHEMATICS EDUCATION
Publisher : Sekolah Tinggi Keguruan dan Ilmu Pendidikan Darud Da'wah Wal Irsyad Pinrang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58917/ijme.v4i2.204

Abstract

ABSTRACT Mathematical connection ability is one of the most important abilities because it will help mastery of meaningful conceptual understanding and help complete problem-solving tasks through the relationship between mathematical concepts and between mathematical concepts and concepts in other disciplines. With a realistic mathematical approach, it is seen as being able to provide learning that will have a good impact on students' mathematical connection abilities because in learning it will be linked to the real world which is used as a basis for understanding mathematical concepts so that students understand the benefits of mathematics. The purpose of this research aims to analyze students' mathematical connection abilities using a realistic mathematical approach. This study is a Quasi Experiment study. The population of this study was all students of class VIII of SMP Negeri 1 Pangkalan Susu. The research sample was taken from two classes, namely class VIII-1 and VIII-2 with the Simple Random Sampling Technique. The instrument of this study was a test, namely to measure mathematical connection abilities. Data analysis of students' mathematical connection ability test results in the form of descriptive data analysis, normality tests, homogeneity tests and hypothesis tests. The results showed that the mathematical connection abilities of students who were given learning with a realistic mathematical approach were better than the mathematical connection abilities of students who were given conventional learning. Keywords : Mathematical Connection Ability; Realistic Mathematics Approach ABSTRAK Kemampuan koneksi matematis merupakan salah satu kemampuan yang sangat penting dikarenakan akan membantu penguasaan pemahaman konsep yang bermakna dan membantu menyelesaikan tugas pemecahan masalah melalui keterkaitan antar konsep matematika dan antara konsep matematika dengan konsep dalam disiplin lain. Dengan pendekatan matematika realistik dipandang dapat memberikan pembelajaran yang akan membawa dampak baik terhadap kemampuan koneksi matematis siswa karena di dalam pembelajaran akan dikaitkan dengan dunia nyata yang digunakan sebagai dasar di dalam memahami konsep matematika sehingga siswa memahami manfaat dari matematika tersebut. Tujuan dari penelitian ini bertujuan untuk menganalisis kemampuan koneksi matematis siswa dengan menggunakan pendekatan matematika realistik. Penelitian ini merupakan penelitian Quasi Experiment. Populasi penelitian ini adalah seluruh siswa kelas VIII SMP Negeri 1 Pangkalan Susu. Sampel penelitian diambil dua kelas yaitu kelas VIII-1 dan VIII-2 dengan Teknik Simple Random Sampling. Instrumen penelitian ini adalah tes yaitu untuk mengukur kemampuan koneksi matematis. Analisis data hasil tes kemampuan koneksi matematis siswa berupa analisis deskriptif data, uji normalitas, uji homogenitas dan uji hipotesis. Hasil penelitian menunjukkan bahwa kemampuan koneksi matematis siswa yang diberi pembelajaran dengan pendekatan matematika realistik lebih baik dari pada kemampuan koneksi matematis siswa yang diberi pembelajaran konvensional. Kata kunci: Kemampuan Koneksi Matematis; Pendekatan Matematika Realistik.
Motivasi Belajar Matematis Siswa Melalui Model Pembelajaran Teams Games Tournament (TGT) Nurullita Astriani; Muhammad Bayu Al Dhana
FARABI: Jurnal Matematika dan Pendidikan Matematika Vol 9 No 1 (2026): FARABI: Jurnal Matematika dan Pendidikan Matematika
Publisher : Program Studi Pendidikan Matematika FKIP UNIVA Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/farabi.v9i1.1490

Abstract

Motivation plays a crucial role in fostering students' enthusiasm for learning, thereby ensuring effective study activities and improved learning outcomes. In mathematics education, varied and innovative strategies are required to boost students' mathematical learning motivation, one such strategy is the Teams Games Tournament (TGT) learning model. This study aimed to analyze students' mathematical learning motivation using the TGT model. It employed a quasi-experimental research design and was conducted at SDN No. 053997 Sei Siur, Pangkalan Susu. The study population consisted of fourth-grade students, with class IV-A serving as the experimental group and class IV-B as the control group. Based on the results of t-test used in the research, that the t-count value > t-table namely 3,108 > 2,0067. The findings indicate that the mathematical learning motivation of students taught using the Teams Games Tournament (TGT) model was superior to that of students taught using conventional methods.
Web-Based CRM Implementation for Improving Agricultural Product Sales Strategy: A Case Study of UD. Sri Tani Husnul Khotimah; Mardalius Mardalius; Muhammad Bayu Al Dhana
Jurnal IPTEK Bagi Masyarakat Vol 5 No 3 (2026)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v5i3.1600

Abstract

The development of information technology encourages business actors, including Micro, Small, and Medium Enterprises (MSMEs), to utilize information systems to improve operational efficiency and customer relationship management. Customer Relationship Management (CRM) is a strategy used to manage interactions with customers in order to increase customer satisfaction and loyalty. However, many MSMEs still record customer data and sales transactions manually, resulting in less effective data management processes. UD Sri Tani is a business engaged in the sale of agricultural products that still manages customer data, product inventory, and sales transactions manually. This condition causes difficulties in monitoring customer relationships and developing effective sales strategies. Therefore, this study aims to implement a web-based Customer Relationship Management (CRM) system to improve customer management and support sales strategies. The research method used includes system requirements analysis, system design, system implementation, and system testing. Data collection was conducted through observation, interviews, and the distribution of questionnaires to 39 respondents consisting of customers and business managers. System testing was carried out using the Black Box Testing method to ensure that all system functions operate according to user requirements. The results of the study indicate that the developed CRM system is capable of integrating customer data, product data, and sales transactions in a centralized manner. Based on 15 testing scenarios, all system functions showed a 100% success rate, indicating that the system operates properly according to user needs. The implementation of this system helps business owners manage customer relationships more effectively and supports the improvement of agricultural product sales strategies at UD Sri Tani.
ANALISA PREDIKSI PENJUALAN SPAREPART SEPEDA MOTOR HONDA MENGGUNAKAN REGRESI LINIER Zulfan Efendi; Maulana Dwi Sena; Muhammad Bayu Al Dhana; Wulan Dari
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4082

Abstract

Abstract: The availability of motorcycle spare parts on time and in sufficient quantities is the key to maintaining customer satisfaction and the smooth operation of authorized workshops and dealers. However, one of the main problems faced is the uncertainty in the amount of demand that often fluctuates due to seasonal factors, consumer behavior, and vehicle maintenance trends. This condition can cause excess stock which increases storage costs or shortages of stock which has an impact on declining service and the potential for losing customers. This study aims to analyze and predict sales of Honda motorcycle spare parts by utilizing the linear regression method. This method was chosen because of its ability to map the relationship between time variables and sales volume quantitatively and simply. The data used are monthly sales data for the last two years from authorized Honda distributors. The results of the analysis show that the linear regression model can predict sales trends with a fairly good level of accuracy, indicated by the coefficient of determination (R²) of 0.86. Thus, this model can be used as a decision-making tool in inventory management and marketing strategy planning that is more adaptive to changes in market demand Keywords: linear regression; motorcycle spare parts; sales prediction; stock                  management. Abstrak: Ketersediaan sparepart sepeda motor secara tepat waktu dan dalam jumlah yang memadai merupakan kunci dalam menjaga kepuasan pelanggan dan kelancaran operasional bengkel maupun dealer resmi. Namun, salah satu permasalahan utama yang dihadapi adalah ketidakpastian dalam jumlah permintaan yang sering kali fluktuatif akibat faktor musiman, perilaku konsumen, hingga tren perawatan kendaraan. Kondisi ini dapat menyebabkan kelebihan stok yang meningkatkan biaya penyimpanan atau kekurangan stok yang berdampak pada penurunan pelayanan dan potensi kehilangan pelanggan. Penelitian ini bertujuan untuk menganalisis dan memprediksi penjualan sparepart sepeda motor Honda dengan memanfaatkan metode regresi linier. Metode ini dipilih karena kemampuannya dalam memetakan hubungan antara variabel waktu dan jumlah penjualan secara kuantitatif dan sederhana. Data yang digunakan merupakan data penjualan bulanan selama dua tahun terakhir dari distributor resmi Honda. Hasil analisis menunjukkan bahwa model regresi linier dapat memprediksi tren penjualan dengan tingkat akurasi yang cukup baik, ditunjukkan oleh nilai koefisien determinasi (R²) sebesar 0,86. Dengan demikian, model ini dapat dijadikan alat bantu pengambilan keputusan dalam pengelolaan persediaan dan perencanaan strategi pemasaran yang lebih adaptif terhadap perubahan permintaan pasar. Kata kunci: manajemen stok; prediksi penjualan; regresi linier; sparepart motor.
Co-Authors Andrew Ramadhani Husnul Khotimah Lola Zeramenda Br Tarigan Mardalius Mardalius Maulana Dwi Sena Namira Seftia Dewi Nayla Aiwina Putri Nurullita Astriani Sukma Wati Wulan Dari Zulfan Efendi