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Dewi Rahmawaty Isa
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Dampak Penerapan Model Pembelajaran Index Card Match (ICM) Terhadap Pemahaman Konsep Matematika Barisan dan Deret Aritmetika Putri Yanti Mamonto; Sumarno Ismail; Dewi Rahmawaty Isa
Research in the Mathematical and Natural Sciences Vol. 3 No. 1 (2024): November 2023-April 2024
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v3i1.154

Abstract

Learning mathematics requires students to understand concepts, the low understanding of students' concepts becomes an obstacle in learning. So that the researchers used the background to apply the Index Card Match (ICM) learning model. This study aims to improve understanding of mathematical concepts using the Index Card Match (ICM) learning model on arithmetic sequences and series material. This research is a classroom action research. The research subjects were students of class XI TKJ SMK Negeri 1 Batudaa for the academic year 2022/2023 with a total of 28 students. The techniques used in data collection are observation and tests. The data analysis technique in this study is the analysis of observation of teacher activities, student activities and tests of understanding mathematical concepts. The design used in this study is the research design of the Kammis and Mc Taggart models. The research procedure includes planning, implementation, observation and reflection. The study consisted of 2 cycles. The results showed that the implementation of learning using the Index Card Match learning model on arithmetic sequences and series materials could improve students' understanding of mathematical concepts. This is evidenced by the average results of the mathematical concept understanding test in the first cycle which is 63.57, increasing in the second cycle to 81.42 with the percentage of observations of teacher activities in the first cycle reaching 71.15% while the second cycle reaches 86.53% and the percentage the results of the observation of student activity in the first cycle reached 65.17%, an increase in the second cycle reached 83.92%. Based on the research above, there are benefits in applying the Index Card Match (ICM) learning model, namely, in order to increase understanding of mathematical concepts and foster motivation and interest in learning mathematics.
Pemodelan SEM Partial Least Square Pada Minat Pelanggan UMKM Menggunakan QRIS sebagai Alat Pembayaran Yulinar Rahman; Lailany Yahya; Dewi Rahmawaty Isa
Research in the Mathematical and Natural Sciences Vol. 3 No. 2 (2024): May-October 2024
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v3i2.165

Abstract

Structural Equation Modeling (SEM) is a multivariate statistical method. in addition, SEM is a method that is able to disclose the simultaneous correlation between indicator variables (which are directly observed) and latent variables (which are not directly observed). Information and communication technology developments facilitate the growth of the digital economy. One form of implementing technology and information in the growth of the digital economy is conducting non-cash transaction. Furthermore, digital financial service are financial service that use digital technology through third paties, namely without intermediaries from banks and the general public. Technological development change business activities in financial service, especially in the digital world. The use of a QR (Quick Response) code payment system is a system that is currently popular. On January 1, 2020, Bank Indonesia officially released a standart for using the Indonesian QR code called Quick Response Code Indonesian Standard (QRIS). Thus, this research aimed to determine the factors affecting MSME customers’ interest in using QRIS as a payment method. This research employed 97 respondents’ responses obtained from distributing questionnaires to MSME (Micro, Small, and medium Enterprises) in Gorontalo City, in which the respondents were the customer who often used QRIS as the payment method. The finding indicated that public understanding and convenience affected customers’ interest in using QRIS as a payment mtehod. In comparison, the benefits and obstacles did not significantly affect customers’ interest in using QRIS as a payment method.
Analisis Cluster Fuzzy C-Means dan Diskriminan untuk Pengelompokan Data Kesejahteraan Rakyat Moh. Wahyu Warolemba; Resmawan; Dewi Rahmawaty Isa
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 12 No. 2 (2023): Volume 12 Nomor 2 (September 2023)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

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

Abstract

Cluster analysis is a multivariate method that aims to classify objects into a cluster based on different characteristics. The statistical technique that can be used for clustering is Fuzzy C-means (FCM). The FCM uses membership degree to determine the existence of each data point in a cluster. To ensure accurate clustering and that the criteria are met, cluster validation must be done to produce good data clustering. Moreover, this study uses a discriminant analysis test to validate the results of cluster solutions. The study aims to classify 34 provinces in Indonesia based on the level of people's welfare. The data used in this study is data on indicators of people's welfare in Indonesia in 2021. The variables used in this study were age/life expectancy, the average length of schooling, the 16-18 years of enrollment, and households with proper access to water. Based on the study results, two clusters were formed: cluster 1, areas with low people’s welfare indicator values in 16 provinces, and Cluster 2, regions with high people's welfare indicator values in 18 provinces.
Co-Authors Abdul Wahab Abdullah Agusyarif Rezka Nuha Alvia Dita Amanda Adityaningrum Arpina Sauwera Asriadi Asriadi Asriadi Bertu Rianto Takaendengan Bilondatu, Rosna Ningsih Brahim, Annisa Maharani Bukoting, Nitrawati D Une, Putri Mutia Djahara A. Nusi Djihad Wungguli Djikilo, Fadila A Elan Husaini Evi Hulukati Fakhira Modeong Friansyah Gani Hanifa Hasan S. Panigoro Hendro Budi Santoso Hulukati, Evi P. Hutagalung, Ronal Iman, Rivo Syahputra Ismail Djakaria Isran K Hasan Isran K. Hasan Ivan Taslim Jufrin Jufrin Kadir, Ervina Kartin Usman Khairiah, Laelatul Khairun IT. Aluy Kudo, Syafri Yandi La Ode Nashar Lailany Yahya Lamaka, Rizky Amalia Y LIHAWA, SRIRAPI H Majid Majid Majid, Majid Meldawati Moh. Wahyu Warolemba Moh. Wahyu Warolemba Mohamad Taufik Hamani Mootalu, Nurnaningsi Muhammad Rezky Friesta Payu Nisky Imansyah Yahya Novianita Achmad Nur Fajriani Podungge Nur, Sholihin P. Nurma, Nurhayati Hasim Nursiya Bito Nurwan Nurwan Nurwan, Nurwan Olvi Muliyani Kudji Permana, Aang Panji Perry Zakaria Putri Yanti Mamonto Putri, Dewi Tarisa Rahasia, Zulaiha Rahasia, Zulaiha RAHMAWATY AHMAD Rahmi, Emli Resmawan Resmawan Restika Oktavia Muliling Rizky Amalia Y Lamaka Ronal Hutagalung Rosiana Jupri Salmun K. Nasib Siti Nurmardia Abdussamad Siti Zakiah Sofyan Nuna Sri Lestari Mahmud Suaib, Angki Sumarno Ismail Sunarty Suly Eraku Suparman M Ismail Syamsu Qomar Badu Tedy Machmud Usman, Rahmat Setiawan Usman, Rina Nandrawati Usman, Sri Adiningsi B. Winni A. Pakaya Yamin Ismail Yulinar Rahman