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Perbandingan FPCA dan FPCR dalam Pemodelan Data Curah Hujan Kabupaten Indramayu Rinaldi, Achi
GRADIEN : Jurnal Ilmiah MIPA Vol 11, No 1 (2015): (Januari 2015)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (256.699 KB)

Abstract

  This research was aimed to modelling rainfall in Indramayu based on the information from Sukadana rainfall station. Modelling rainfall data were very usefull for some prediction in the future and for government policy which can prevent some disaster like flood. Statistics methods in this paper were Principal Component Analysis (PCA), Principal Component Regression (PCR), Functional Principal Component Analysis (FPCA), and Functional Principal Component Regression (FPCR).Principal Component Regression (PCR) perform a good result compare with Functional Principal Component Regression (FPCR), but without basis function the both method are equal. R2 value for PCR was 50.13 the same with  FPCR without basis function.RMSEP value and correlation were 77.55 and 0.91 and it showed that PCR was better than FPCR with bspline basis function and fourrier which the value were 110.48 and 0.81, also 136,06 and 0.1. For general FPCR model without basis function was showed the best performance especially FPCR central model that give prediction result for rainfall data was better than the other model. 
Pemahaman Konsep Peserta Didik dengan Menggunakan Graded Response Models (GRM) Tama, Arfani Manda; Rinaldi, Achi; Andriani, Siska
Desimal: Jurnal Matematika Vol 1, No 1 (2018): Desimal: Jurnal Matematika
Publisher : UIN Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (884.071 KB) | DOI: 10.24042/djm.v1i1.2041

Abstract

The objective of the study was to analyze the students comprehension ability concept by using Graded Response Models (GRM). This research is a type of qualitative research with descriptive approach. The subjects of the study were students of class VIII of 6 people by purposive sampling. Technique of collecting data is done by written test (essay) and interview. Data analysis technique is using Graded Response Models (GRM) test, which is then combined with data reduction, data presentation, and conclusion. The results showed that students who have high ability category of 18.19%, 60.6% moderate students, and low-ability students 21.21%. This can be seen from the scores obtained from the students ability to comprehend the concept of mathematical concepts, and obtained the graph of parameter estimation results by using Graded Response Models can be increased from the lowest ability of learners that is θ (-4) to the highest ability of learners ie θ (4) for each item item category.
Pengembangan Modul Pembelajaran Matematika Berbasis Etnomatematika Menggunakan Metode Inkuiri Mardiah, Siti; widyastuti, Rany; Rinaldi, Achi
Desimal: Jurnal Matematika Vol 1, No 2 (2018): Desimal : Jurnal Matematika
Publisher : UIN Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (823.185 KB) | DOI: 10.24042/djm.v1i2.2228

Abstract

This research entitled Development of Mathematics Based Module of Ethnomathematics using Inkuiri method. This study aims to find out how the development of mathematics learning module based on ethnomathematics using inquiry method, and to know the teacher and student response to the development of mathematics learning module based on ethnomathematics using inquiry method. This research method is Research and Development (R&D) using 4D model. Based on the results of the validation of stage 1 by the material experts obtained a cumulative average of 65.36% with the criteria of "good enough" which means that there is an improvement of some aspects contained in the module. After performing a series of revisions, the average score of cumulative of 84.02% validation with "good" criterion was obtained, so there is no revision of the module. The average score of cumulative validation of stage 1 by a media expert is 60% with a "good enough" code which means that it needs to be revised in some parts of the module. In the second stage of validation, the average cultivation is 86.66% with "very good" criteria so that the module is valid and ready for a field trial. From the results of research teacher response to the module obtained an average of 86.15% with the criteria "very interesting". In the small group trial, the average of 85% was obtained with interesting criteria and large group trial obtained an average of 87.28% with very interesting criteria so that the module is feasible and ready to be used as teaching materials.
Penerapan Sebaran Generalized Extreme Value (Gev) untuk Menduga Kejadian Ekstrim Rinaldi, Achi
Prosiding Seminar Nasional Matematika dan Pendidikan Matematika Vol 2, No 1 (2019): Prosiding Seminar Nasional Matematika dan Pendidikan Matematika 2019
Publisher : Prodi Pendidikan Matematika UIN Raden Intan Lampung

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Abstract

The Generalized Extreme Value (GEV) is a distribution that can describe extreme values. Modeling for extreme values is very useful in estimating extreme events, such as extreme rainfall that can cause flooding. This study aims to make extreme rainfall models through the spatial effect that succeed in forming special zones. In addition,  it is also studied on time series patterns that can be explained through extremogram. The effect of spatial and time series are then modeled spatiotemporally by the Bayes hierarchy method through the concept of Integrated Laplace Approximation (INLA). The application of models for extreme values with GEV is expected to be a reference for policymakers, especially in the context of disaster mitigation due to extreme events.
GENELARIZED PARETO UNTUK PENDUGAAN CURAH HUJAN EKSTRIM DI 4 STASIUN BMKG PROVINSI LAMPUNG Nurrasiah, Nurrasiah; Anggraini, Dian; Meriyati, Meriyati; Rinaldi, Achi
TRANSFORMASI Vol 3 No 02 (2019): Transformasi: Jurnal Pendidikan Matematika dan Matematika
Publisher : Pendidikan Matematika FMIPA Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/tr.v3i02.749

Abstract

Curah hujan ekstrim adalah satuan yang menggambarkan besarnya air yang turun melebihi kapasitas. Dampak yang dapat ditimbulkan dari curah hujan ekstrim salah satunya adalah banjir. Salah satu distribusi umum untuk nilai ekstrim yaitu distribusi Generalized Pareto (GP). Tujuan dari penelitian ini adalah mendapatkan estimasi parameter bentuk dan skala dari distribusi Generalized Pareto (GP) dan dari kedua parameter tersebut dapat diketahui karakter curah hujan di 4 Kabupaten Provinsi Lampung. Metode penelitian ini adalah Peaks Over Threshold (POT), dalam hal ini peneliti melakukan studi literatur yang berkaitan dengan curah hujan ekstrim. Hasil penelitian menunjukkan nilai dugaan parameter skala (σ) tertinggi di miliki oleh Kabupaten Pesawaran, sedangkan yang terendah di Kabupaten Mesuji. Parameter bentuk (θ)nilai tertinggi di Kabupaten Mesuji dan yang terendah di Kabupaten Pesawaran. Dapat disimpulkan bahwa daerah yang paling rawan terhadap banjir adalah Kabupaten Pesawaran, sedangkan yang berpeluang kecil terjadinya banjir adalah Kabupaten Mesuji.
PREDIKSI PENCURIAN SEPEDA MOTOR MENGGUNAKAN MODEL TIME SERIES (STUDI KASUS: POLRES KOTABUMI LAMPUNG UTARA) Pranata, Meli; Anggraini, Dian; Makbuloh, Deden; Rinaldi, Achi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 3 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol14iss3pp425-434

Abstract

Crime is a crime that violates the laws of a country or violates the norms in force in society. Theft is a form of crime. The impact of theft is a feeling of insecurity, fear and insecurity. One model used to predict the number of theft cases is the time series model. A time series model is a set of values ​​observed in an activity, event, or event where data is then arranged in chronological order. Generally, in intervals of the same length. This study aims to model the data of criminal acts of motorcycle theft in North Lampung Police with Autoregressive (AR), Moving Average (MA), and Autoregressive Integrated Moving Average (ARIMA) models. Furthermore, the best models will be used for forecasting for the next 6 months. The results of the AR model (1), AR (3) model, MA model (1), ARIMA (1,1,1), and ARIMA model (3,1,1). The MA model (1) has a significant parameter coefficient, fulfills diagnostic tests and has the smallest RMSE and AIC values ​​with an RMSE value of 6.5612926 and an AIC value of 394.82. The predicted results of the MA model (1) for the next 6 months tend to be horizontally different from the original data which tends to decrease.
Spatial Modeling for Poverty: The Comparison of Spatial Error Model and Geographic Weighted Regression Rinaldi, Achi; Susianto, Yuni; Santoso, Budi; Kusumaningtyas, Wahyu
Al-Jabar: Jurnal Pendidikan Matematika Vol 12, No 1 (2021): Al-Jabar: Jurnal Pendidikan Matematika
Publisher : Raden Intan State Islamic University of Lampung, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ajpm.v12i1.8671

Abstract

This study aims to analyze poverty using spatial models. The researchers also compared the Spatial Error Model (SEM) and Geographically Weighted Regression (GWR). The comparison of the two models was based on the estimation evaluation criteria and the constructed spatial associations. Spatial regression is considered very appropriate to be used to model the relationship pattern between poverty and explanatory variables when the observed data has a spatial effect caused by the proximity between the observation areas. The spatial dependence of errors on observational data can be overcome using SEM, while the effect of heterogeneity of spatial variance can overcome using GWR.
EKSPLORASI ETNOMATEMATIKA PADA UPACARA ADAT PERNIKAHAN SUKU LAMPUNG, JAWA, DAN BALI Safitri, Julia Dwi; Rinaldi, Achi; Suherman, Suherman
MAJU : Jurnal Ilmiah Pendidikan Matematika Vol 8, No 1 (2021): MAJU : JURNAL ILMIAH PENDIDIKAN MATEMATIKA
Publisher : STKIP Bina Bangsa Meulaboh

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Abstract

Abstrak: Matematika berbasis budaya yang sering disebut etnomatematika merupakan sebuah pendekatan yang dapat digunakan untuk menjelaskan peran matematika dalam masyarakat multibudaya. Konsep matematika digunakan untuk mengeksplorasi keberadaan matematika dalam budaya khususnya upacara adat pernikahan Lampung, Jawa, dan Bali. Penelitian ini bertujuan mendeskripsikan hasil eksplorasi etnomatematika pernikahan adat Lampung, Jawa, dan Bali dengan jenis penelitian eksplorasi serta pendekatan etnografi. Hasil penelitian menunjukkan bahwa tanpa mempelajari konsep matematika, masyarakat Lampung, Jawa, dan bali telah menerapkan konsep-konsep tersebut dalam kehidupan sehari-harinya menggunakan etnomatematika. Terbukti adanya konsep-konsep matematika dan kajian geometri yang terkandung dalam upacara adat pernikahan. Peneliti menyarankan hasil penelitian ini untuk: (a) membuat bahan ajar sehingga dapat diterapkan disekolah, (b) memilih subjek penelitian dengan lebih teliti agar data yang didapat sesuai dengan tujuan  penelitian.Kata Kunci: Eksplorasi, Upacara Adat Pernikahan Suku Lampung, Jawa, dan Bali