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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup Jurnal Statistika dan Matematika (Statmat) Jurnal Eurekamatika Jurnal Indonesia Sosial Sains JMT (Jurnal Matematika dan Terapan)
Hagni Wijayanti
Universitas Pakuan
Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Energy Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Neuroscience Physics Social Sciences Other

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PENERAPAN ANALISIS DISKRIMINAN UNTUK MENGKAJI PERBEDAAN KONSUMSI PANGAN HEWANI DI WILAYAH PERKOTAAN DAN PERDESAAN DI INDONESIA Saputri, Afriyanti Rahmawati; Virgantari, Fitria; Wijayanti, Hagni
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Publisher : Fakultas Matematika dan ilmu pengetahuan Alam. Universitas Pakuan.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (275.489 KB)

Abstract

This research aims to examine the differences between animal food consumption in urban and rural areas in Indonesia using discriminant analysis. The data used are secondary data obtained from the National socio-economic Survey (Susenas) held Central Bureau of statistics of the year 2015. The data analyzed includes data on average consumption of protein (grams) per capita a day according to the dining area and group housing in 34 provinces in Indonesia. Animal food consumption are examined, namely fish consumption, the consumption of meat, eggs and milk consumption. Based on the results of the analysis it can be concluded that the normality test,  matrix test  of  the  variety  of  uniform  and   test  the   average   vector  value is fulfilled, so the discriminant function is obtained as follows: where is consumption of fish, is the consumption of meat, eggs and milk consumption was and is the value of the discriminant score. The result of the discriminant functions that form validation indicates that the function is accurate and stable. The precision of the discriminant function was 85.08% or there are 2 errors in classifying a group of villages and 8 errors in classifying a group of 67 regions of cities and villages throughout the province in Indonesia. Based on the magnitude of the coefficients of the function, that the consumption of eggs and milk that contributes the largest animal food consumption differences across cities and villages. Key words : animal food consumption, discriminant analysis, test validation, assumptions
METODE RUNGE KUTTA DALAM PENYELESAIAN MODEL RADANG AKUT Wijayanti, Hagni; Setyaningsih, Sri; Wati, Mardika
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Publisher : Fakultas Matematika dan ilmu pengetahuan Alam. Universitas Pakuan.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (369.484 KB)

Abstract

Metode Runge Kutta adalah metode penyelesaian masalah nilai awal persamaan diferensial dengan pendekatan iterasi numerik, sehingga sangat efisien jika penyelesaiannya dengan menggunakan pemrograman komputer, yang dalam penelitian ini diimplementasikan pada software Mathematica versi 7.0. Model radang akut adalah suatu model persamaan diferensial non linier yang telah dibuat berupa persamaan populasi patogen, persamaan  populasi  fagosit ketika diaktifkan, dan persamaan laju kerusakan jaringan. Solusi model radang akut  dapat diperoleh dengan menggunakan metode  Runge Kutta, sehingga dapat ditunjukkan perilaku dinamik pada populasi patogen, populasi fagosit ketika diaktifkan, dan laju kerusakan jaringan.Kata kunci   : Metode Runge Kutta, Model Radang Akut, Populasi Patogen, Populasi Fagosit ketika Diaktifkan, Laju Kerusakan Jaringan.
PENDUGAAN PARAMETER MODEL PENINGKATAN POPULASI PEROKOK DENGAN METODE DEKOMPOSISI ADOMIAN MULTISTAGE Wijayanti, Hagni; Wihartiko, Fajar Delli
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Publisher : Fakultas Matematika dan ilmu pengetahuan Alam. Universitas Pakuan.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (477.061 KB)

Abstract

The prevalence of smoking in Indonesia over the years tend to experience increased. Increasing cigarette consumption in Indonesia will affect public health conditions and demanding high fees from the public, so that the necessary control of the consumption of cigarettes wisely. The smoking prevalence of the problem, can be made a mathematical formulation. There are three parameters involved, namely the active smoker population, the population of smokers and potential smokers who've stopped population, along with the change in time. Identify the parameter is very important, because it can show how the problem of the prevalence of smokers. In this study used method of Multistage Adomian Decomposition (MADM) which gives the solution of the model population increase smokers as solution series t (time) for each subinterval m during the period from [0, T]. The resolution of the model and the simulation model do with programming in Mathematica version 8. Key words : method of Multistage Adomian Decomposition (MADM),  prevalence of smokers
PENERAPAN ANALISIS DISKRIMINAN UNTUK MENGKAJI PERBEDAAN KONSUMSI PANGAN HEWANI DI WILAYAH PERKOTAAN DAN PERDESAAN DI INDONESIA Afriyanti Rahmawati Saputri; Fitria Virgantari; Hagni Wijayanti
EKOLOGIA Vol 16, No 2 (2016): JURNAL ILMIAH ILMU DASAR DAN LINGKUNGAN HIDUP
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (275.489 KB) | DOI: 10.33751/ekol.v16i2.732

Abstract

This research aims to examine the differences between animal food consumption in urban and rural areas in Indonesia using discriminant analysis. The data used are secondary data obtained from the National socio-economic Survey (Susenas) held Central Bureau of statistics of the year 2015. The data analyzed includes data on average consumption of protein (grams) per capita a day according to the dining area and group housing in 34 provinces in Indonesia. Animal food consumption are examined, namely fish consumption, the consumption of meat, eggs and milk consumption. Based on the results of the analysis it can be concluded that the normality test, matrix test of the variety of uniform and test the average vector value is fulfilled, so the discriminant function is obtained as follows: where is consumption of fish, is the consumption of meat, eggs and milk consumption was and is the value of the discriminant score. The result of the discriminant functions that form validation indicates that the function is accurate and stable. The precision of the discriminant function was 85.08% or there are 2 errors in classifying a group of villages and 8 errors in classifying a group of 67 regions of cities and villages throughout the province in Indonesia. Based on the magnitude of the coefficients of the function, that the consumption of eggs and milk that contributes the largest animal food consumption differences across cities and villages.Key words : animal food consumption, discriminant analysis, test validation, assumptions
METODE RUNGE KUTTA DALAM PENYELESAIAN MODEL RADANG AKUT Hagni Wijayanti; Sri Setyaningsih; Mardika Wati
EKOLOGIA Vol 11, No 2 (2011): JURNAL ILMIAH ILMU DASAR DAN LINGKUNGAN HIDUP
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (369.484 KB) | DOI: 10.33751/ekol.v11i2.260

Abstract

Metode Runge Kutta adalah metode penyelesaian masalah nilai awal persamaan diferensial dengan pendekatan iterasi numerik, sehingga sangat efisien jika penyelesaiannya dengan menggunakan pemrograman komputer, yang dalam penelitian ini diimplementasikan pada software Mathematica versi 7.0. Model radang akut adalah suatu model persamaan diferensial non linier yang telah dibuat berupa persamaan populasi patogen, persamaan populasi fagosit ketika diaktifkan, dan persamaan laju kerusakan jaringan. Solusi model radang akut dapat diperoleh dengan menggunakan metode Runge Kutta, sehingga dapat ditunjukkan perilaku dinamik pada populasi patogen, populasi fagosit ketika diaktifkan, dan laju kerusakan jaringan.Kata kunci : Metode Runge Kutta, Model Radang Akut, Populasi Patogen, Populasi Fagositketika Diaktifkan, Laju Kerusakan Jaringan.
PENDUGAAN PARAMETER MODEL PENINGKATAN POPULASI PEROKOK DENGAN METODE DEKOMPOSISI ADOMIAN MULTISTAGE Hagni Wijayanti; Fajar Delli Wihartiko
EKOLOGIA Vol 14, No 2 (2014): JURNAL ILMIAH ILMU DASAR DAN LINGKUNGAN HIDUP
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (477.061 KB) | DOI: 10.33751/ekol.v14i2.214

Abstract

The prevalence of smoking in Indonesia over the years tend to experience increased. Increasing cigarette consumption in Indonesia will affect public health conditions and demanding high fees from the public, so that the necessary control of the consumption of cigarettes wisely. The smoking prevalence of the problem, can be made a mathematical formulation. There are three parameters involved, namely the active smoker population, the population of smokers and potential smokers who've stopped population, along with the change in time. Identify the parameter is very important, because it can show how the problem of the prevalence of smokers. In this study used method of Multistage Adomian Decomposition (MADM) which gives the solution of the model population increase smokers as solution series t (time) for each subinterval m during the period from [0, T]. The resolution of the model and the simulation model do with programming in Mathematica version 8.Key words : method of Multistage Adomian Decomposition (MADM), prevalence of smokers
PERBANDINGAN ESTIMASI S (SCALE) DAN ESTIMASI MM (METHOD OF MOMENT) PADA MODEL REGRESI ROBUST DENGAN DATA PENCILAN Arif Semar; Fitria Virgantari; Hagni Wijayanti
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 2, No 1 (2020)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (312.523 KB) | DOI: 10.32493/sm.v2i1.4207

Abstract

Model regresi merupakan model yang digunakan untuk menggambarkan hubungan antara variabel bebas dan tidak bebas. Salah satu metode yang sering digunakan untuk menduga parameter model regresi adalah metode OLS (Ordinary Least Square). Dalam model regresi dimungkinkan terdapat outlier (pencilan) yang menyebabkan beberapa asumsi regresi tidak terpenuhi sehingga nilai prediksi menjadi kurang akurat oleh karena itu digunakan metode yang dapat menangani data outlier. Salah satunya adalah metode regresi robust dengan menggunakan estimasi S (Scale) dan MM (Methode of Moment) karena memiliki breakpoint (jumlah maksimum data pencilan yang dapat ditoleransi oleh sebuah model) yang tinggi. Penelitian ini bertujuan untuk menerapkan dan membandingkan estimasi OLS, estimasi S dan estimasi MM yang mengandung data pencilan. Data yang digunakan adalah data sekunder berupa kemampuan membaca sekelompok anak yang berumur 4 sampai 7 tahun, umur, skor daya ingat dan IQ . Hasil penelitian menunjukkan metode regresi robust estimasi S merupakan metode terbaik dibandingkan estimasi OLS & estimasi MM karena memiliki nilai R2 tertinggi yaitu sebesar 94,29%. Berdasarkan metode estimasi S diperoleh model Y = −1,107 + 0,484X1 + 0,052X2 + 0,045X3 dengan Y adalah skor membaca anak-anak yang berumur 4 sampai 7 tahun, X1 adalah umur, X2 adalah skor daya ingat dan X3 adalah IQ.
Penerapan Model GBM untuk Prediksi Harga Saham dan Nilai Risiko Kerugian Menggunakan Program R Fira Agista; Hagni Wijayanti; Yasmin Erika Faridhan
Jurnal EurekaMatika Vol 11, No 1 (2023): Jurnal Eurekamatika
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jem.v11i1.57238

Abstract

In stock asset investment, the profit earned by an investor is measured by the return value, which is highly dependent on the stock price. In this study, stock price predictions were made using the Geometric Brownian Motion (GBM) model, and loss risk value was calculated using the Monte Carlo Simulation Value at Risk (VaR) method, so that investors can find out future stock prices and possible losses that may be obtained. The data used is the closing price of PT Telkom's shares for the period of 1 March to 12 October 2021. By using R, the results show that the prediction of PT Telkom's stock price for the period of 1 September to 12 October 2021 has a very good accuracy with a MAPE value of 2.1%. The risk value for the period of 6 October to 12 October 2021 with evaluation results through backtesting at violation probability levels of 1% and 5% produces a violation ratio of 0; this means that the Monte Carlo Simulation VaR method can be used at the level of the violation probability.Keywords: Geometric Brownian Motion, Return, Stock, Value at Risk. AbstrakPada investasi aset saham, keuntungan yang diperoleh seorang investor diukur melalui nilai return, yang sangat bergantung pada harga saham. Dalam penelitian ini dilakukan prediksi harga saham menggunakan model Geometric Brownian Motion (GBM) dan nilai risiko kerugian menggunakan metode Value at Risk (VaR) Simulasi Monte Carlo, sehingga investor dapat mengetahui harga saham pada masa yang akan datang dan kemungkinan kerugian yang akan terjadi. Data yang digunakan adalah harga penutupan saham PT Telkom pada periode waktu 1 Maret sampai dengan 12 Oktober 2021. Berbantuan program R, hasil penelitian menunjukkan bahwa prediksi harga saham PT Telkom periode 1 September sampai dengan 12 Oktober 2021 memiliki akurasi yang sangat baik dengan nilai MAPE sebesar 2,1%. Nilai risiko untuk periode 6 Oktober sampai 12 Oktober 2021 dengan hasil evaluasi melalui backtesting pada tingkat peluang pelanggaran 1% dan 5% menghasilkan rasio pelanggaran sebesar 0, yang berarti metode VaR Simulasi Monte Carlo dapat digunakan pada tingkat peluang pelanggaran tersebut.
PENERAPAN ANALISIS DISKRIMINAN UNTUK MENGKAJI PERBEDAAN KONSUMSI PANGAN HEWANI DI WILAYAH PERKOTAAN DAN PERDESAAN DI INDONESIA Afriyanti Rahmawati Saputri; Fitria Virgantari; Hagni Wijayanti
Ekologia: Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup Vol 16, No 2 (2016): Ekologia : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/ekol.v16i2.732

Abstract

This research aims to examine the differences between animal food consumption in urban and rural areas in Indonesia using discriminant analysis. The data used are secondary data obtained from the National socio-economic Survey (Susenas) held Central Bureau of statistics of the year 2015. The data analyzed includes data on average consumption of protein (grams) per capita a day according to the dining area and group housing in 34 provinces in Indonesia. Animal food consumption are examined, namely fish consumption, the consumption of meat, eggs and milk consumption. Based on the results of the analysis it can be concluded that the normality test,  matrix test  of  the  variety  of  uniform  and   test  the   average   vector  value is fulfilled, so the discriminant function is obtained as follows: where is consumption of fish, is the consumption of meat, eggs and milk consumption was and is the value of the discriminant score. The result of the discriminant functions that form validation indicates that the function is accurate and stable. The precision of the discriminant function was 85.08% or there are 2 errors in classifying a group of villages and 8 errors in classifying a group of 67 regions of cities and villages throughout the province in Indonesia. Based on the magnitude of the coefficients of the function, that the consumption of eggs and milk that contributes the largest animal food consumption differences across cities and villages. Key words : animal food consumption, discriminant analysis, test validation, assumptions
METODE RUNGE KUTTA DALAM PENYELESAIAN MODEL RADANG AKUT Hagni Wijayanti; Sri Setyaningsih; Mardika Wati
Ekologia: Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup Vol 11, No 2 (2011): Ekologia : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/ekol.v11i2.260

Abstract

Metode Runge Kutta adalah metode penyelesaian masalah nilai awal persamaan diferensial dengan pendekatan iterasi numerik, sehingga sangat efisien jika penyelesaiannya dengan menggunakan pemrograman komputer, yang dalam penelitian ini diimplementasikan pada software Mathematica versi 7.0. Model radang akut adalah suatu model persamaan diferensial non linier yang telah dibuat berupa persamaan populasi patogen, persamaan  populasi  fagosit ketika diaktifkan, dan persamaan laju kerusakan jaringan. Solusi model radang akut  dapat diperoleh dengan menggunakan metode  Runge Kutta, sehingga dapat ditunjukkan perilaku dinamik pada populasi patogen, populasi fagosit ketika diaktifkan, dan laju kerusakan jaringan.Kata kunci   : Metode Runge Kutta, Model Radang Akut, Populasi Patogen, Populasi Fagosit ketika Diaktifkan, Laju Kerusakan Jaringan.
Co-Authors Afriyanti Rahmawati Saputri Arif Semar Embay Rohaeti Fajar Delli Wihartiko Fira Agista Fitria Virgantari Herman, Herman Ismawati Khotimah Mardika Wati Saputri, Afriyanti Rahmawati Sekar Miasih Setyaningsih, Sri Sri Setyaningsih Sri Setyaningsih Virgantari, Fitria Wati, Mardika Yasmin Erika Faridhan