Article Per Year (5 Year)
p-Index From 2021 - 2026
5.965
P-Index
This Author published in this journals
All Journal SAINSMAT Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Pendidikan Matematika RAFA Jurnal Edukasi Matematika dan Sains AKSIOMA Jurnal Penelitian Pendidikan IPA (JPPIPA) EnviroScienteae BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal GEOSAPTA Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam MAJAMATH: Jurnal Matematika dan Pendidikan Matematika J SIG (Jurnal Sains Informasi Geografi) FIBONACCI: Jurnal Pendidikan Matematika dan Matematika MES: Journal of Mathematics Education and Science (JIML) JOURNAL OF INNOVATIVE MATHEMATICS LEARNING MATHEMA: JURNAL PENDIDIKAN MATEMATIKA ESTIMASI: Journal of Statistics and Its Application Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jambura Journal of Mathematics Education JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Journal of Science and Technology Jurnal Kolaboratif Sains Research in the Mathematical and Natural Sciences SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Indonesian Research Journal on Education Innovative: Journal Of Social Science Research Madani: Multidisciplinary Scientific Journal Lemma: Letters of Mathematics Education Journal of Mathematics, Computation and Statistics (JMATHCOS) Media Pendidikan Matematika
Dewi Rahmawaty Isa
Universitas Negeri Gorontalo
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

Published : 47 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 47 Documents
Search

 1   2   3   4   5 
PENGEMBANGAN LEMBAR KERJA PESERTA DIDIK BERKARAKTER REALISTIC MATHEMATIC EDUCATION PADA MATERI SISTEM PERSAMAAN LINEAR DUA VARIABEL KELAS VIII DI SMP NEGERI 3 SUWAWA Nurma, Nurhayati Hasim; Usman, Kartin; Isa, Dewi Rahmawaty
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 6 No. 1 (2025): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v6i1.923

Abstract

The purpose of this study was to produce valid and practical student worksheets. This research was developed through the 4-D development model updated to 3-D define, design, and development.The results of the development obtained a student worksheet with realistic mathematic education characters on the material of a system of linear equations of two variables declared valid and feasible field trials based on the assessment of material experts and design experts. In expert validation, the product received a score of 85.18% from material experts and a score of 88.86% from media experts. In the assessment test to the teacher and 98.21% of the trial to students 96.47%. The students' worksheet through this trial received a very good response with very practical criteria and showed the interest of students in using LKPD during learning.
Application of Statistical Quality Control and Failure Mode and Effect Analysis to Improve Panada Tore Quality at PT. Cita Rasa Pagimana Kudo, Syafri Yandi; Isa, Dewi Rahmawaty; Payu, Muhammad Rezky Friesta
Journal of Mathematics, Computations and Statistics Vol. 8 No. 1 (2025): Volume 08 Nomor 01 (April 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i1.6708

Abstract

The manufacturing industry in Banggai Regency, Indonesia, is growing rapidly and is the main sector supporting PDRB. PT Cita Rasa Pagimana, a producer of Pagimana's signature panada tore, faces product quality problems such as charring and crumbling despite clear production standards, causing losses due to the large number of defective products. This study aims to implement a combination of Statistical Quality Control (SQC) method with Seven Tools and Failure Mode and Effect Analysis (FMEA) to identify the causes and resolve panada tore production defects. The results showed 6.680 defective products out of 189.590 products in December 2024, with charred defects accounting for 64% (4.393 products) and crumbled defects 36% (2.287 products). Based on FMEA, the five main causes with the highest RPN are: inconsistent frying technique, absence of oil thermometer, improper dosage of raw materials, overheating room temperature, and rough handling of dough. Recommendations for improvement include training on frying techniques, providing an oil temperature thermometer, adjusting the dosage of raw materials, adjusting the room temperature, and periodic training to improve employees' understanding of the production process, which is expected to reduce defects and improve product quality.
MENINGKATKAN KEMAMPUAN PEMECAHAN MASALAH MATEMATIKA SISWA MENGGUNAKAN MODEL PEMBELAJARAN DISCOVERY LEARNING MATERI SPLDV DI KELAS VIII-1 Khairiah, Laelatul; Usman, Kartin; Isa, Dewi Rahmawaty
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 6 No. 1 (2025): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v6i1.933

Abstract

The purpose of this study was to determine whether using the discovery learning model can improve mathematical problem-solving skills on SPLDV material. In the 2024/2025 school year, class action research was carried out at MTs. Nurul Bahri Kabila Bone. The research subjects were VIII-1 class students with a total of 18 people. The instruments used are teacher and student activity sheets and math problem solving ability test questions. This research was conducted in two cycles with four elements namely planning, action, observation, and reflection. The learning results of cycle 1 showed the analysis of teaching teacher activities of 78.94%, the results of the analysis of student activities of 70.59%, and the results of the analysis of mathematical problem-solving ability of 69.09%. The data has not met the specified success indicator of 80%. In cycle 2, the results of the analysis of teaching teacher activities were 94.73%, the analysis of student activities reached 91.17%, and the results of the analysis of students' ability to solve math problems were 94.73%. So obtained cycle 2 has reached the specified success indicator of 80%. The results showed that students of class VIII-1 MTs. Nurul Bahri Kabila Bone were able to solve math problems better using the discovery learning model, which gradually increased in each cycle.
The Implementation of Polya’s Strategy with Lumio Media to Enhance Students’ Mathematical Problem-Solving Skills on Junior High School Hanifa; Hulukati, Evi P.; Isa, Dewi Rahmawaty
(JIML) JOURNAL OF INNOVATIVE MATHEMATICS LEARNING Vol. 8 No. 2 (2025): VOLUME 8 NUMBER 2, JUNE 2025
Publisher : IKIP Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/jiml.v8i2.28055

Abstract

Mathematics is a fundamental discipline that plays an important role in developing students' logical, analytical, and systematic thinking skills. However, many students still struggle with solving non-routine mathematical problems due to a reliance on memorization and teacher-centered learning. This study aims to improve students’ mathematical problem-solving ability, especially in probability, through the implementation of Polya’s problem-solving steps assisted by Lumio interactive media. This classroom action research employed the Kemmis and McTaggart model, consisting of planning, action, observation, and reflection stages conducted over two cycles. The research subjects were 12 eighth-grade students from SMP Muhammadiyah Kwandang. Data were collected through tests and observation sheets, then analyzed both quantitatively and qualitatively. The instruments included essay tests based on probability story problems and validated observation sheets for teacher and student activities. The results showed a significant improvement in students’ problem-solving skills. The average score increased from 70.05% in the first cycle to 83.59% in the second cycle. The proportion of students achieving mastery also rose from 33% to 91.7%. Learning activities became more interactive and student-centered. It is concluded that integrating Polya’s strategy and Lumio media is effective in enhancing students’ mathematical problem-solving skills and active learning engagement.
A MODEL ARCH(1) DAN GARCH(1,1) PADA PERAMALAN HARGA SAHAM PT. COWELL DEVELOPMENT Tbk. Bilondatu, Rosna Ningsih; Nurwan, Nurwan; Isa, Dewi Rahmawaty
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 13 No 1 (2019): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (200.762 KB) | DOI: 10.30598/barekengvol13iss1pp009-018ar676

Abstract

Penelitian ini memfokuskan pada peramalan harga saham PT. Cowell Development Tbk. menggunakan data pada Januari 2013 sampai Desember 2016. Hasil analisis diperoleh model terbaik adalah model ARIMA(2,1,12). Hasil pengujian asumsi residual white noise menggunakan uji Ljung-Box menunjukkan bahwa model ARIMA(2,1,12) merupakan residual white noise. Hasil uji ARCH-LM menunjukkan data mengandung efek heteroskedastisitas atau unsur ARCH. Model yang diajukan dalam penelitian ini adalah ARCH(1) dan GARCH(1,1). Nilai AIC dan BIC terkecil dari dua model ini adalah ARCH(1). Model ARIMA(2,1,12) dengan residual ARCH(1) merupakan model terbaik untuk meramalkan saham PT. Cowel Development Tbk. Penerapan model ARCH(1) untuk meramalkan harga saham PT. Cowel Development Tbk selama 10 hari periode 2013-2016, menunjukkan bahwa peramalan sudah mendekati data faktual dengan nilai MAPE sebesar 0,043%. Hal ini memberikan indikasi hasil peramalan sudah mendekati data faktual.
ROBUST LEAST MEDIAN OF SQUARE MODELLING USING SEEMINGLY UNRELATED REGRESSION WITH GENERALIZED LEAST SQUARE ON PANEL DATA FOR TUBERCULOSIS CASES Adityaningrum, Amanda; Resmawan, Resmawan; Brahim, Annisa Maharani; Isa, Dewi Rahmawaty; Nashar, La Ode; Asriadi, Asriadi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2293-2306

Abstract

Tuberculosis, primarily affecting the lungs and other organs, was the leading cause of death worldwide before the COVID-19 pandemic and continues to be a significant health concern. This research examined tuberculosis (TB) using a panel dataset. As a consequence, the datasets may contain outliers and contemporaneous correlations. A Robust Least Median of Square (LMS) model was developed in this research by combining Seemingly Unrelated Regression (SUR) with Generalized Least Square (GLS) on panel data to provide an analysis overview to overcome outliers and contemporaneous correlations. Based on secondary data obtained from the Central Bureau of Statistics of the Gorontalo Province and the Ministry of Health of the Gorontalo Province, this research examines TB cases between 2017 and 2021. The Chow test result suggests that CEM is the most appropriate model for analyzing panel data for TB cases in Gorontalo Province between 2017 and 2021. Due to the presence of outliers and influential observations in the data, robust LMS is employed. Furthermore, there is a problem of contemporaneous correlation in this research. Each regency or city can mitigate this problem by implementing robust LMS using SUR with GLS.
APPLICATION OF BINARY LOGISTICS REGRESSION AND RANDOM FOREST TO CIGARETTE CONSUMPTION EXPENDITURE IN GORONTALO REGENCY 2022 Hamani, Mohamad Taufik; Isa, Dewi Rahmawaty; Nasib, Salmun K.; Panigoro, Hasan S.; Hasan, Isran K.; Yahya, Nisky Imansyah
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 13, No 1 (2025): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsunimus.13.1.2025.14-22

Abstract

The goal of this research is to predict or identify an object's class using its available attributes through classification. The aim of this research is to use the random forest method to develop a classification model and the binary logistic regression method to discover significant determinants in cigarette consumption expenditure in Gorontalo Regency. The findings indicated that the size of the home, the number of family members, and the head of the household's educational attainment all had a considerable impact. Only the household head's educational attainment, however, consistently influences the model and satisfies the goodness of fit requirements. In contrast, the random forest model outperformed binary logistic regression in the classification analysis when classification characteristics including accuracy, precision, recall, and f1-score were assessed. Consequently, random forest was found to be the most effective classification model in this investigation.
Analisis Kemandirian Belajar terhadap Prestasi Belajar Peserta Didik SMP Negeri 14 Kota Gorontalo Kadir, Ervina; Majid, Majid; Isa, Dewi Rahmawaty
Indonesian Research Journal on Education Vol. 5 No. 2 (2025): Irje 2025
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/irje.v5i2.2355

Abstract

Tujuan penelitian ini untuk mengetahui adanya hubungan kemandirian belajar siswa terhadap prestasi belajar matematika. Populasi dalam penelitian ini yaitu siswa kelas VII SMP Negeri 14 Kota Gorontalo tahun ajaran 2023/2024. Pengambilan sampel menggunakan simple random sampling. Instrumen penelitian terdiri dari angket kemandirian belajar siswa dan prestasi belajar matematika menggunakan teknik tes obyektif. Metode penelitian menggunakan metode survei dengan pendekatan korelasional. Berdasarkan hasil analisis data diperoleh nilai koefisien korelasi antara kemandirian belajar dengan prestasi belajar matematika sebesar 0,614 yang berarti nilai koefisien antara kedua variabel tersebut tinggi. Diperoleh koefisien determinasi sebesar 37,7% yang artinya varians nilai prestasi belajar matematika yang dicapai siswa sebesar 37,7% ditentukan oleh kemandirian belajarnya. Dengan melihat nilai thitung yang diperoleh adalah 5,74 dan nilai ttabel untuk taraf signifikan 0,05 yaitu 2,04, maka dapat diketahui adanya korelasi hubungan antara kedua variabel yaitu kemandirian belajar (X) dengan prestasi belajar matematika (Y) signifikan karena thitung lebih besar dari nilai ttabel, artinya ada korelasi positif antara kemandirian belajar dengan prestasi belajar matematika. Hal ini menujukan semakin tinggi tingkat kemandirian belajar maka semakin tinggi pula prestasi belajar matematika yang dapat dicapai.
DISTRIBUTED LAG MODEL PENGARUH JUMLAH UANG BEREDAR TERHADAP NILAI TUKAR RUPIAH MENGGUNAKAN METODE KOYCK DAN ALMON LIHAWA, SRIRAPI H; RESMAWAN, RESMAWAN; ISA, DEWI RAHMAWATY; NASHAR, LA ODE
Jambura Journal of Probability and Statistics Vol 3, No 1 (2022): Jambura Journal Of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjps.v3i1.11805

Abstract

A regression model that contains the dependent variable which is influenced by the current independent variable, and is also influenced by the independent variable at the previous time is called a distributed lag model. Distributed lag model is a dynamic model in econometrics that is useful in empirical econometrics because it makes a static economic theory dynamic by taking into account the role of time explicitly. There are two distributed lag models, namely the infinite lag model and the finite lag model using the Koyck method and the Almon method in determining the estimated Distributed lag model. This study aims to determine the Distributed lag model for the effect of the money supply on the rupiah exchange rate and determine the best model based on the Koyck method and the Almon method. From the results of selecting the best model based on the SIC value and judging by the more precise R2 of the Koyck method, the resulting model ist  = 7958 + 0.0002Xt + 0.000177Xt-1+ 0.000157Xt-2+ 0.000139Xt-3 + 0.0000123Xt-4
Implementasi Deep Learning dalam Pengklasifikasian Wajah Menggunakan Library Tensorflow pada Algoritma Convolutional Neural Network (CNN) Usman, Rahmat Setiawan; Hasan, Isran K.; Isa, Dewi Rahmawaty
Jambura Journal of Probability and Statistics Vol 4, No 2 (2023): Jambura Journal Of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjps.v4i2.18264

Abstract

The convolutional neural network is a deep learning method that functions to recognize and classify objects in an image. An example of its application is a facial recognition system which consists of a detection and classification process. Facial recognition by computers can be influenced by many things such as lighting, expressions, and the amount of dataset provided. This study aims to find out how to implement CNN to identify faces using Tensorflow with the Python programming language. The number of datasets used is 120 data and 10 respondents in total with different lighting conditions and shooting angles. Apart from the dataset, this study also uses several different scenarios in the training process, namely the difference in the number of epochs and the difference in the number of learning rates. Based on the results of the discussion, two models were obtained. In the first model, the results obtained an accuracy of 100% in the training process and 65% in the testing process. In the second model, the results obtained are 100% accuracy in the training process and 75% in the testing process. performance of the model made in this study can be said to be optimal in recognizing objects in several lighting conditions and image angles.
Co-Authors Abdul Wahab Abdullah Agusyarif Rezka Nuha Asriadi Asriadi Asriadi Bertu Rianto Takaendengan Bilondatu, Rosna Ningsih Brahim, Annisa Maharani Bukoting, Nitrawati D Une, Putri Mutia Dita, Alvia Djikilo, Fadila A Hamani, Mohamad Taufik Hanifa Hasan S. Panigoro Hendro Budi Santoso Hulukati, Evi P. Husaini, Elan Hutagalung, Ronal Iman, Rivo Syahputra Ismail Djakaria Isran K Hasan Ivan Taslim Jufrin Jufrin Kadir, Ervina Kartin Usman Khairiah, Laelatul Kudo, Syafri Yandi La Ode Nashar Lailany Yahya Lamaka, Rizky Amalia Y LIHAWA, SRIRAPI H Mahmud, Sri Lestari Majid Majid Majid, Majid Mamonto, Putri Yanti Modeong, Fakhira Moh. Wahyu Warolemba Mootalu, Nurnaningsi Muliling, Restika Oktavia NISKY IMANSYAH YAHYA Novianita Achmad Nur Fajriani Podungge Nur, Sholihin P. Nurma, Nurhayati Hasim Nursiya Bito Nurwan Nurwan Nurwan, Nurwan Permana, Aang Panji Perry Zakaria Putri, Dewi Tarisa Rahasia, Zulaiha Rahasia, Zulaiha Rahman, Yulinar RAHMAWATY AHMAD Resmawan Resmawan Rizky Amalia Y Lamaka Ronal Hutagalung Rosiana Jupri Salmun K. Nasib Sauwera, Arpina Siti Nurmardia Abdussamad Siti Zakiah Sofyan Nuna 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