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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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PENDUGAAN PARAMETER MODEL PENINGKATAN POPULASI PEROKOK DENGAN METODE DEKOMPOSISI ADOMIAN MULTISTAGE Hagni Wijayanti; Fajar Delli Wihartiko
Ekologia: Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup Vol 14, No 2 (2014): 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.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
Penjadwalan Integer Linear Programming pada Penjadwalan Produksi Tipe Flowshop dan Program Optimasi Waktu dengan Metode Branch and Bound Ismawati Khotimah; Hagni Wijayanti; Sri Setyaningsih
JMT : Jurnal Matematika dan Terapan Vol 3 No 1 (2021): JMT (Jurnal Matematika dan Terapan)
Publisher : Program Studi Matematika Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jmt.3.1.5

Abstract

Penjadwalan merupakan pengalokasian sumber daya yang tersedia untuk menyelesaikan sejumlah pekerjaan dengan mempertimbangkan batasan yang ada. Hal yang cukup penting dalam perusahaan adalah menentukan penjadwalan yang optimal agar kegiatan produksi dapat berjalan dengan lancar, efisien, dan sistematis. PT Unitex merupakan perusahaan yang bergerak dalam bidang tekstil. Perusahaan ini menerapkan penjadwalan yang kurang efisien sehingga menyebabkan permasalahan seperti keterlambatan waktu dalam penyelesaian produksi akibat terlalu banyaknya permintaan konsumen yang tidak menentu. Perusahaan melakukan penjadwalan hanya diperkirakan saja dan tidak menggunakan metode ilmiah. Metode Branch and Bound dapat diterapkan pada permasalahan tersebut karena dapat menentukan penjadwalan yang tepat dengan waktu optimal. Metode Branch and Bound adalah metode pencarian dalam menentukan solusi optimal pada penjadwalan dengan menentukan nilai batas atas dan nilai batas bawah untuk menghasilkan nilai makespan dari tiap job yang dikerjakan. Penjadwalan menggunakan Metode Branch and Bound menghasilkan urutan penjadwalan produksi dengan job 1-5-3-6-7-2-4 dengan makespan sebesar 17290.73 menit. Nilai ini lebih kecil dibandingkan hasil makespan perusahaan yaitu 19278.13 menit. Hal tersebut meminimumkan makespan sebesar 10.31%.
Factors Influencing Individual Income Level in Cikanyere Village Using Ordinal Logistic Regression Model Hagni Wijayanti; Herman Herman
Jurnal Matematika, Statistika dan Komputasi Vol. 20 No. 2 (2024): JANUARY 2024
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v20i2.31964

Abstract

Income is an element in the process of economic development that serves as an indicator of the standard of living for individuals, families, or the population. Cikanyere is a village located in, West Java, Cianjur, which still has low economic growth. Economic growth can be observed from the level of income obtained by the population. Based on the aforementioned issue, the original purpose of this research is to identify the factors that influence the level of individual income in Cikanyere Village. One type of regression analysis is ordinal logistic regression, which is used to test the correlation between independent variables and dependent variables that have multiple categories or polychotomous, meaning variables that have two or more categories and are in ordinal scale. Ordinal logistic regression is used because the dependent variable in this study is the income level, while the independent variables include education level, age, marital status, number of dependents, and gender. All these independent variables are measured on an ordinal scale. In this study, the influence of each component on the income level is measured partially using the Pearson Chi-Square test. The results show that age, education level, and the number of dependents to the components that affect the income level in Cikanyere Village. Gender and marital status do not affect the income level. The obtained ordinal logistic regression model provides the likelihood of individual income improvement based on changes in age, education level, and the number of dependents.
Analysis of Optimal Stock Performance Using the Discounted Cash Flow Method and Stock Price Forecasting Using the Holt-Winters Method: (Case Study: Shares of PT Perusahaan Gas Negara Tbk) Sekar Miasih; Embay Rohaeti; Hagni Wijayanti
Jurnal Indonesia Sosial Sains Vol. 5 No. 11 (2024): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v5i11.1515

Abstract

The high liquidity of PT Perusahaan Gas Negara Tbk shares and significant fluctuations in share prices create uncertainty that requires in-depth analysis. Stock performance analysis is carried out with 2 stages in outline, namely the stages of fundamental analysis and technical analysis. Fundamental analysis is carried out to analyze optimal stock performance, one of which is by using the discounted cash flow (DCF) method. Technical analysis is used to determine the condition of stock performance in the future by forecasting stock prices using the Holt-Winters forecasting method. The objectives of this study are to analyze optimal stock performance, forecast stock prices, and evaluate forecasting results. The data used is PGN's 2023 annual report and daily data on PGN's stock price for the period January 1, 2019, to December 31, 2023, totalling 1,231 data. The results of the optimal stock performance analysis show that PGN's stock performance is declared optimal with an intrinsic value of 3,149.18, which is greater than the current stock price (undervalued). The results of stock price forecasting show that the forecasting results follow the actual data pattern, with an accuracy value using MAPE (mean absolute percentage error ) of 10.9%, it is stated that the forecasting performance has performed well.
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