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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 PHI: Jurnal Pendidikan Matematika 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 Research Review: Jurnal Ilmiah Multidisiplin 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 SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam
Dewi Rahmawaty Isa
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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.
Pemodelan Data Time Series dengan Pendekatan Regresi Nonparametrik B-Spline Rahasia, Zulaiha; Resmawan, Resmawan; Isa, Dewi Rahmawaty
AKSIOMA : Jurnal Matematika dan Pendidikan Matematika Vol 11, No 1 (2020): AKSIOMA: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/aks.v11i1.4903

Abstract

Spline is one of the nonparametric approach, to adjust data so the final model has good flexibility. The purpose of this research is to model the time series data in the form of currency exchange rates by using the nonparametric B-spline approach. In B-spline modelling, determination of the order for the model, and the number and the placement of the knot are the criteria that must be considered. The best B-spline model obtained based on the selection of the optimal knot points with minimum Generalized Cross Validation (GCV) criteria. The modelling in this research use data on the exchange rate of the rupiah toward the US dollar in the period January 2014 - December 2018. The best B-spline model obtained by the 2 point knot approach, at points 11935.10 and 12438.29, with GCV valueequals to 55683.09.Keywords: Nonparametric Regression; B-Spline; Generalized Cross Validation
PENGARUH MODEL PEMBELAJARAN PROBLEM BASED LEARNING (PBL) TERHADAP KEMAMPUAN PEMECAHAN MASALAH MATEMATIKA SISWA KELAS VIII SMP Mootalu, Nurnaningsi; Zakaria, Perry; Isa, Dewi Rahmawaty
JURNAL LEMMA Vol 12, No 1 (2025): Lemma: Letters of Mathematics Education
Publisher : Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/jl.2025.v12i1.10560

Abstract

 Penelitian ini bertujuan untuk menentukan adanya perbedaan penggunaan model pembelajaran Problem Based Learning (PBL) terhadap kemampuan pemecahan masalah matematika siswa pada materi bilangan berpangkat. Metode penelitian ini yaitu metode kuasi eksperimen (Quasi Experimental) dengan desain penelitian post-test control design. Pengambilan sampel menggunakan teknik random sampling dengan jumlah sampel sebanyak 47 siswa SMPN 1 Talaga Jaya  dibagi ke dalam kelas control dan kelas eksperimen. Hasil penelitian menunjukkan adanya perbedaan kemampuan pemecahan masalah matematika siswa setelah melakukan pembelajaran menggunakan PBL dengan hasil belajar siswa berdasarkan rata-rata nilai posttest untuk kelas eksperimen sebesar 61,58 dan kelas kontrol sebesar 56,43. Adapun hasil uji hipotesis menggunakan uji hipotesis (t-test) pada excel menggunakan analysis toolpak (t-Test: Paired Sample for Means) mendapatkan hasil sebesar 3,346 < 2,014 dengan α (0,05). Hal ini berarti menunjukkan bahwa terdapat perbedaan nilai posttest yang signifikan antara kelas eksperimen dan kelas kontrol.
Deskripsi kemampuan matematika berdasarkan domain kognitif TIMSS Kelas VIII SMP Negeri 3 Gorontalo Usman, Rina Nandrawati; Bito, Nursiya; Isa, Dewi Rahmawaty
Media Pendidikan Matematika Vol. 10 No. 1 (2022)
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/mpm.v10i1.4874

Abstract

Penelitian ini bertujuan untuk mendeskripsikan kemampuan matematika siswa berdasarkan domain kognitif Timss kelas VIII SMP Negeri 3 Gorontalo.Subjek dalam penelitian ini adalah siswa kelas VIII di SMP Negeri 3 Gorontalo.Pengumpulan data diperoleh dari data hasil tes kemampuan matematika berdasarkan domain kognitirf TIMSS dan wawancara yang digunakan sebagai data tambahan untuk mendeskripsikan kemampuan matematika berdasarakan domain kognitif TIMSS. Berdasarkan data yang diperoleh dari hasil tes kemampuan matematika dari 25 siswa terdapat 5 orang siswa dalam kategori tinggi dengan besar presentase 22,61%, 16 orang siswa dalam kategori sedang dengan besar presentase 57,27%, dan 4 orang dalam kategori rendah dengan besar presentase 11,61%. Artinya tingkat kemampuan matematika siswa berdasarkan domain kognitif Timss kelas VIII SMP Negeri 3 Gorontalo berada dalam kategori sedang.
Pengaruh Media Pembelajaran Berbantuan Website Google Sites Terhadap Hasil Belajar Siswa Materi Segiempat dan Segitiga Lamaka, Rizky Amalia Y; Zakaria, Perry; Isa, Dewi Rahmawaty
MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Vol. 6 No. 2 (2023): Vol 6 No 2 September 2023
Publisher : Prodi Pendidikan matematika Universitas Islam Majapahit (UNIM), Mojokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36815/majamath.v6i2.2831

Abstract

Penelitian Ini bertujuan untuk mengetahui perbedaan hasil belajar siswa yang dibelajarkan dengan menggunakan media pembelajaran berbantuan website google sites dengan hasil belajar siswa yang dibelajarkan dengan menggunakan media pembelajaran powerpoint. Metode penelitian ini adalah penelitian eksperimen. Desain penelitian yang digunakan adalah posttest only control group design. Teknik pengambilan sampel dilakukan dengan teknik simple sampling random, sampel yang digunakan berjumlah 2 kelas. Berdasarkan hasil pengambilan, kelas VII-4 terpilih sebagai kelas eksperimen yang dibelajarkan menggunakan media berbantuan website google sites sedangkan kelas VII-1 sebagai kelas yang dibelajarkan menggunakan media powerpoint. Instrumen pada penelitian ini menggunakan tes hasil belajar yang berbentuk uraian/essay. Pengujian hipotesis dengan menggunakan uji-t yang menghasilkan thitung = 4,637, setelah dibandingkan dengan ttabel = t0,95:48 = 2,0106. Diperoleh thitung> ttabel yaitu 4,637 > 2,0106, maka H0 ditolak. Hasil penelitian ini dapat disimpulkan bahwa terdapat perbedaan hasil belajar siswa yang dibelajarkan dengan menggunakan media pembelajaran berbantuan website google sites dan hasil belajar siswa yang dibelajarkan dengan menggunakan media pembelajaran powerpoint
Analysis of Limestone Characteristics on the South Coast of Gorontalo Based on Specific Gravity and Water Absorption Tests Aang Panji Permana; Ronal Hutagalung; Sunarty Suly Eraku; Dewi Rahmawaty Isa
Jurnal Penelitian Pendidikan IPA Vol 10 No 11 (2024): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i11.7368

Abstract

The southern coast of Gorontalo has complex geological conditions. This is indicated by the strong tectonic influence with the uplift of the Quaternary limestone at high elevations. The distribution of this limestone is very unique because it is located between the dominance of volcanic and plutonic rocks that form the northern arm of Sulawesi. The purpose of this study was to focus on the characteristics of limestone on the south coast of Gorontalo based on specific gravity and water absorption tests. The research methods used to achieve these objectives consist of field geological surveys and laboratory analysis of the specific gravity and water absorption tests of coarse aggregate. The field geological survey consisted of taking limestone samples for laboratory analysis and petrological analysis. The results showed that the limestone on the southern coast of Gorontalo is dominated by the coralline floatstone facies. Characteristics of the coralline floatstone facies based on laboratory analysis showed an average specific gravity of 1.74 and an apparent specific gravity of 2.04. While the average percentage of limestone water absorption is 8.41%.
ANALISIS KEMAMPUAN PEMAHAMAN KONSEP MATEMATIKA PADA MATERI OPERASI BILANGAN BULAT DI KELAS VII SMP NEGERI 1 SUWAWA Elan Husaini; Majid Majid; Dewi Rahmawaty Isa
MES: Journal of Mathematics Education and Science Vol 11, No 2 (2026): Edisi April
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v11i2.12855

Abstract

Mathematics is a fundamental science that plays an important role in developing students' logical, critical, and analytical thinking skills. One of the main competencies in mathematics learning is conceptual understanding, but international evaluation results and field findings show that this ability is still relatively low, especially in the subject of integer operations. This study aims to analyse students' mathematical concept comprehension skills in integer operations in Grade VII at SMP Negeri 1 Suwawa. The study used a quantitative descriptive method conducted at SMP Negeri 1 Suwawa, Bone Bolango Regency, Gorontalo, with 21 students selected through purposive sampling. The research instruments consisted of an eight-question essay test that had been validated and reliability checked, as well as semi-structured interviews. The data were analysed using descriptive analysis techniques through the calculation of mean scores, standard deviations, and percentages, then grouped into high, medium, and low categories based on four concept understanding indicators. The results showed that 67% of students were in the medium category, 19% in the high category, and 14% in the low category. The indicator of recalling concepts was the most mastered by students, while the indicators of selecting procedures and applying concepts in problem solving were the most challenging. These findings indicate that most new students have mastered procedural understanding but have not yet achieved deep conceptual understanding. Therefore, learning strategies that emphasise meaningful activities and the use of various representations are needed to improve students' understanding of mathematical concepts.
Implementasi Algoritma Artificial Bee Colony dan Gravitational Search pada Fuzzy Geographically Weighted Clustering untuk Pemetaan Stunting di Sulawesi Tahun 2023 Djahara A. Nusi; Dewi Rahmawaty Isa; Salmun K. Nasib
Research Review: Jurnal Ilmiah Multidisiplin Vol. 4 No. 1 (2025): Research Review: Jurnal Ilmiah Multidisiplin (Februari 2025 - Juli 2025)
Publisher : Transbahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54923/researchreview.v4i1.115

Abstract

Stunting is a chronic nutritional problem affecting child growth, particularly in regions with high prevalence, such as Sulawesi Island. This study aims to compare two optimization methods, Artificial Bee Colony (ABC) and Gravitational Search Algorithm (GSA), in the Fuzzy Geographically Weighted Clustering (FGWC) analysis to group regencies and cities based on factors contributing to stunting. The data used included health and socio-economic indicators from 66 regencies/cities in Sulawesi Island. Three validity indices—Classification Entropy (CE), Separation Index (SI), and Xie and Beni’s Index (XB)—were employed to assess clustering performance. The findings indicate that the FGWC-ABC method outperformed FGWC-GSA, yielding lower CE and XB values and a higher SI value, signifying better clustering results. The FGWC-ABC method, at a fuzziness value of m = 1.5, formed two clusters: Cluster 1, comprising 49 regencies/cities with relatively lower stunting prevalence and better socio-economic conditions, and Cluster 2, consisting of 17 regencies/cities with higher stunting prevalence and poorer socio-economic conditions. This study highlights the potential of FGWC-ABC in optimizing regional classification for targeted interventions in addressing stunting. The results provide a valuable reference for policymakers in designing effective strategies to mitigate stunting issues.
Perbandingan Fuzzy Time Series Lee dan Double Exponential Smoothing pada Permalan Garis Kemiskinan Provinsi Gorontalo Meldawati; Djihad Wungguli; Dewi Rahmawaty Isa
Research Review: Jurnal Ilmiah Multidisiplin Vol. 4 No. 2 (2025): Research Review: Jurnal Ilmiah Multidisiplin (Agustus 2025 - Januari 2026)
Publisher : Transbahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54923/researchreview.v4i2.271

Abstract

This study aims to compare the forecasting accuracy of two statistical methods, namely Fuzzy Time Series (FTS) Model Lee and Double Exponential Smoothing (DES) Holt, in predicting the poverty line in Gorontalo Province. The data used were secondary data obtained from the Central Bureau of Statistics (BPS) of Gorontalo Province for the period 2004–2024. A quantitative descriptive approach with time series analysis was applied. The analysis process involved constructing the universe of discourse, fuzzification, and defuzzification for the FTS method, as well as double smoothing with parameters α and β for the DES method. The findings revealed that the FTS Lee model achieved the highest forecasting accuracy with a Mean Absolute Percentage Error (MAPE) of 0.47%, while the DES Holt method yielded a MAPE of 2.26%. The forecasting results indicated that Gorontalo’s poverty line is projected to reach IDR 464,959.50 in 2025 and IDR 504,911.90 in 2026. These results suggest that the FTS Lee method is more effective in predicting socio-economic data characterized by high uncertainty.
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