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<![CDATA[Pemodelan Data Time Series dengan Pendekatan Regresi Nonparametrik B-Spline ]]>
<![CDATA[Rahasia, Zulaiha]]>;
<![CDATA[Resmawan, Resmawan]]>;
<![CDATA[Isa, Dewi Rahmawaty]]>
<![CDATA[ AKSIOMA : Jurnal Matematika dan Pendidikan Matematika Vol 11, No 1 (2020): AKSIOMA: Jurnal Matematika dan Pendidikan Matematika ]]>
Publisher : <![CDATA[Universitas PGRI Semarang ]]>
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DOI: 10.26877/aks.v11i1.4903
<![CDATA[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]]>
<![CDATA[A MODEL ARCH(1) DAN GARCH(1,1) PADA PERAMALAN HARGA SAHAM PT. COWELL DEVELOPMENT Tbk. ]]>
<![CDATA[Bilondatu, Rosna Ningsih]]>;
<![CDATA[Nurwan, Nurwan]]>;
<![CDATA[Isa, Dewi Rahmawaty]]>
<![CDATA[ BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 13 No 1 (2019): BAREKENG: Jurnal Ilmu Matematika dan Terapan ]]>
Publisher : <![CDATA[MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA ]]>
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DOI: 10.30598/barekengvol13iss1pp009-018ar676
<![CDATA[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.]]>
<![CDATA[ANALISIS STATISTICAL QUALITY CONTROL DALAM UPAYA MENGURANGI JUMLAH PRODUK CACAT DI PABRIK ROTI THE LI NO’U BAKERY ]]>
<![CDATA[RAHMAWATY AHMAD]]>;
<![CDATA[RESMAWAN RESMAWAN]]>;
<![CDATA[DEWI RAHMAWATY ISA]]>
<![CDATA[ Jambura Journal of Probability and Statistics Vol 1, No 1 (2020): Jambura Journal of Probability and Statictics ]]>
Publisher : <![CDATA[Department of Mathematics, Universitas Negeri Gorontalo ]]>
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DOI: 10.34312/jjps.v1i1.4578
<![CDATA[Quality control is a technical and management activity which measures the quality characteristics of a product or service. Statistical quality control can be used to find production errors that result in defective products so that further corrective action can be taken to overcome them. The objective to be achieved in this research is to determine the Statistical Quality Control (SQC) method with pareto diagrams, control charts, cause and effect diagrams and 5W+1H analysis applied to The Li No'u Bakery in controlling quality to minimize failed products. The data in this study were obtained through direct observation and field interviews. Data analysis tools used are control charts, pareto diagrams, cause and effect diagrams and 5W + 1H analysis. Through a cause and effect diagram, the main factors causing the failure of bakery products at The Li No'u Bakery are manufacturers/employees. This is because the operator fails in making bakery products both the preparation of raw materials, the production process and packaging. So training is needed on making the dough, how to put bread and how to covenant and employee order according to the standard of The Li No'u Bakery.]]>
<![CDATA[ANALISIS SURVIVAL MENGGUNAKAN REGRESI WEIBULL PADA LAJU KESEMBUHAN PASIEN TUBERKULOSIS PARU DI RSUD ALOEI SABOE KOTA GORONTALO ]]>
<![CDATA[Isran K Hasan]]>;
<![CDATA[Winni A. Pakaya]]>;
<![CDATA[Novianita Achmad]]>;
<![CDATA[Dewi Rahmawaty Isa]]>
<![CDATA[ Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 9 Issue 1 June 2021 ]]>
Publisher : <![CDATA[Universitas Negeri Gorontalo ]]>
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DOI: 10.34312/euler.v9i1.10758
<![CDATA[This study was aimed at discussing survival analysis in Pulmonary Tuberculosis patients in Aloei Saboe using Weibull regression to find out the factors that influence the patient’s recovery rate. To analyze the survival time, the Kaplan-Meier curve is used then the process continues into Log-Rank Test to see the differences between groups in a curve. Weibull Regression is used to determine the significant factors based on a log-rank test in the rate of recovery of Pulmonary Tuberculosis patients. The results of the study concluded age, shortness of breath, fever, cough, history of illness and smoking habits are factors that significantly influence the rate of recovery of Pulmonary Tuberculosis patients.]]>
<![CDATA[ANALISIS HASIL BALAJAR MATEMATIKA SISWA PADA METERI MATRIKS MELALUI PEMBELAJARAN BERBASIS E-LEARNING ]]>
<![CDATA[Abdul Wahab Abdullah]]>;
<![CDATA[Dewi Rahmawaty Isa]]>;
<![CDATA[Nur Fajriani Podungge]]>
<![CDATA[ Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 9 Issue 1 June 2021 ]]>
Publisher : <![CDATA[Universitas Negeri Gorontalo ]]>
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DOI: 10.34312/euler.v9i1.10325
<![CDATA[This study aims to describe students' mathematics learning outcomes in matrix material through e-learning based learning. This research was conducted at SMK Negeri 2 Limboto with a descriptive method involving 21 students as the research sample selected by purposive sampling technique. Data collection was obtained from the results of mathematics learning tests involving several indicators, namely: (1) understanding, (2) application, (3) analysis, (4) synthesis, and (5) evaluation. The results showed that students' mathematics learning results through e-learning-based learning were in the poor category, which was indicated by the percentage of scores achieved by students of 69%.]]>
<![CDATA[Pemodelan Data Time Series dengan Pendekatan Regresi Nonparametrik B-Spline ]]>
<![CDATA[Zulaiha Rahasia]]>;
<![CDATA[Resmawan Resmawan]]>;
<![CDATA[Dewi Rahmawaty Isa]]>
<![CDATA[ AKSIOMA : Jurnal Matematika dan Pendidikan Matematika Vol 11, No 1 (2020): AKSIOMA: Jurnal Matematika dan Pendidikan Matematika ]]>
Publisher : <![CDATA[Universitas PGRI Semarang ]]>
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DOI: 10.26877/aks.v11i1.4903
<![CDATA[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]]>
<![CDATA[DISTRIBUTED LAG MODEL PENGARUH JUMLAH UANG BEREDAR TERHADAP NILAI TUKAR RUPIAH MENGGUNAKAN METODE KOYCK DAN ALMON ]]>
<![CDATA[SRIRAPI H LIHAWA]]>;
<![CDATA[RESMAWAN RESMAWAN]]>;
<![CDATA[DEWI RAHMAWATY ISA]]>;
<![CDATA[LA ODE NASHAR]]>
<![CDATA[ Jambura Journal of Probability and Statistics Vol 3, No 1 (2022): Jambura Journal Of Probability and Statistics ]]>
Publisher : <![CDATA[Department of Mathematics, Universitas Negeri Gorontalo ]]>
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DOI: 10.34312/jjps.v3i1.11805
<![CDATA[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]]>
<![CDATA[ANALISIS STRATIGRAFI DAERAH LEATO UTARA DAN SELATAN, KOTA GORONTALO (Stratigraphy Analysis of The North and South Leato Region, Gorontalo City) ]]>
<![CDATA[Ronal Hutagalung]]>;
<![CDATA[Aang Panji Permana]]>;
<![CDATA[Dewi Rahmawaty Isa]]>;
<![CDATA[Ivan Taslim]]>
<![CDATA[ Jurnal Sains Informasi Geografi (J SIG) Vol 4, No 2 (2021): Edisi November ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Gorontalo ]]>
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DOI: 10.31314/jsig.v4i2.1037
<![CDATA[Daerah Leato Utara dan Selatan, Kota Gorontalo merupakan bagian selatan dari lengan utara Sulawesi. Kondisi geologi daerah penelitian sangat kompleks. Untuk itu penelitian ini sangat menarik dilakukan untuk mengetahui stratigrafi sehingga bisa diketahui rekonstruksi pembentukan daerah Leato Utara dan Selatan, Kota Gorontalo. Tujuan penelitian ini adalah melakukan analisis stratigrafi daerah Leato Utara dan Selatan, Kota Gorontalo. Tujuan tersebut akan dicapai menggunakan dua metode penelitian yakni survei lapangan berupa pemetaan geologi detail dan analisis laboratorium berupa analisis petrografi. Hasil dan pembahasan dari penelitian ini menunjukkan bahwa ada dua satuan geomorfologi, tiga satuan batuan serta tiga kontrol struktur geologi yang bekerja. Satuan granit menjadi satuan tertua yang terbentuk di laut dalam kemudian mengalami pengangkatan di atasnya diendapkan tidak selaras satuan breksi vulkanik dan satuan batugamping terumbu pada lingkungan laut dangkal.]]>
<![CDATA[KAJIAN PELAPUKAN GRANIT DAERAH LEATO BERDASARKAN ANALISIS XRD DAN SEM ]]>
<![CDATA[Ronal Hutagalung]]>;
<![CDATA[Aang Panji Permana]]>;
<![CDATA[Dewi Rahmawaty Isa]]>
<![CDATA[ EnviroScienteae Vol 18, No 1 (2022): ENVIROSCIENTEAE VOLUME 18 NOMOR 1, APRIL 2022 ]]>
Publisher : <![CDATA[Universitas Lambung Mangkurat ]]>
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DOI: 10.20527/es.v18i1.12977
<![CDATA[Weathering is a natural process due to the work of exogenous forces both physically and chemically which results in the breakdown of rocks and constituent minerals into loose materials. Weathering can cause compact and resistant granite to move easily, causing rock fall in the Leato area, Gorontalo City. This study aims to assess the level of weathering of granite based on X-Ray Diffraction (XRD) and Scanning Electron Microscope Analysis (SEM) analysis. The research objectives will be achieved using two methods consisting of field surveys and laboratory analysis in the form of XRD and SEM analysis. Based on the results and discussion that granite rocks have undergone weathering. Evidence of weathering is clearly shown in SEM photos, namely weathering occurs at the edges of granite rocks.]]>
<![CDATA[Identifikasi Kemampuan Koneksi Matematis Siswa Ditinjau dari Kemampuan Spasial pada Topik Prisma dan Limas ]]>
<![CDATA[Sofyan Nuna]]>;
<![CDATA[Resmawan Resmawan]]>;
<![CDATA[Dewi Rahmawaty Isa]]>
<![CDATA[ Jambura Journal of Mathematics Education Vol 1, No 2: September 2020 ]]>
Publisher : <![CDATA[Department of Mathematics, Universitas Negeri Gorontalo ]]>
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DOI: 10.34312/jmathedu.v1i2.7675
<![CDATA[Artikel ini bertujuan untuk mengidentifikasi kemampuan koneksi matematis siswa ditinjau dari kemampuan spasial pada topik prisma dan limas. Penelitian dilakukan dengan metode deskriptif yang melibatkan siswa SMP Negeri 1 Telaga Biru sebagai subjek penelitian. Subjek penelitian sebanyak 46 orang diperoleh dengan teknik pengambilan sampel secara acak. Instrumen penelitian menggunakan tes essay untuk mengukur kemampuan koneksi matematis siswa, tes objektif untuk mengukur kemampuan spasial dan wawancara untuk melengkapi dan memperkuat informasi tambahan yang diperlukan. Kemampuan koneksi matematis diukur dengan 3 indikator yaitu: (1) mengenal dan menggunakan hubungan antara ide-ide matematika; (2) memahami bagaimana ide-ide matematika berhubungan dan saling berkaitan sehingga merupakan satu sistem yang utuh; dan (3) mengenal dan menerapkan matematika pada masalah kehidupan sehari- hari. Kemampuan spasial diukur dengan 5 indikator yaitu: (1) kemampuan persepsi; (2) kemampuan visualisasi; (3) kemampuan rotasi; (4) kemampuan relasi; dan (5) kemampuan orientasi. Hasil penelitian menunjukkan bahwa 99,49% siswa dengan kemampuan spasial tinggi, memiliki kemampuan koneksi matematis pada kategori sangat baik, 62,91% siswa dengan kemampuan spasial sedang, memiliki kemampuan koneksi matematis pada kategori baik, dan 56,56% siswa dengan kemampuan spasial rendah, memiliki kemampuan koneksi matematis pada kategori baik.]]>
