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All Journal Epsilon: Jurnal Matematika Murni dan Terapan BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Pengabdian Sumber Daya Manusia

Dewi Anggraini

Department Of Statistics, Faculty Of Mathematics And Natural Sciences, Universitas Lambung Mangkurat, Indonesia

Author-ID : 5335971

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Articles

PROGRAM EDUKASI DAN PENDATAAN DOOR TO DOOR DALAM RANGKA PERCEPATAN VAKSINASI COVID-19 SKALA MIKRO Dewi Anggraini; Aprida Siska Lestia; Yuana Sukmawaty; Winda Adinda Tanjung; Nabila Septiani; Syifa Ajeria; Sekar Wahyuningtias; Siti Jubaidah
Jurnal Pengabdian Sumber Daya Manusia Vol. 1 No. 2 (2021): EDISI OKTOBER 2021
Publisher : Scholar Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (795.33 KB)

Cakupan vaksinasi masyarakat usia lanjut, masyarakat rentan dan masyarakat umum lainnya, serta anak usia 12-17 tahun masih rendah, yaitu masing-masing <10%, <5%, dan < 1%, per tanggal 19 Juli 2021. Oleh karena itu, perlu upaya untuk meningkatkan cakupan vaksinasi tersebut secara merata dengan mempertimbangkan data dasar, seperti jumlah fasilitas pelayanan kesehatan/gerai vaksinasi, tenaga pelaksana, dan daerah terpencil/sulit dijangkau. Program Studi Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Lambung Mangkurat bekerjasama dengan Ketua RT. 001, 003, 038, dan 040, Kecamatan Cempaka, Banjarbaru menginisiasi untuk melakukan program edukasi dan pendataan door to door kepada masyarakat dalam upaya percepatan vaksinasi skala mikro. Berdasarkan hasil pelaksanaan kegiatan, diperoleh sebanyak 516 orang yang bersedia untuk mengikuti vaksinasi Covid-19, dimana 256 orang (49,61%) perempuan dan 260 orang (50,39%) laki-laki. Dari 516 orang tersebut diketahui bahwa kelompok usia 31-59 tahun tercatat sebanyak 240 orang (46,51%), usia 18-30 tahun sebanyak 142 orang (27,52%), usia 12-17 tahun sebanyak 95 peserta (18,41%), dan usia lanjut (> 60 tahun) sebanyak 39 peserta (7,56%). Kecamatan Cempaka sebagai daerah dengan peserta terbanyak yaitu sebesar 255 orang (49,4%) dan Kota Banjarbaru merupakan kota dengan jumlah peserta vaksinasi terbanyak, yaitu 400 orang (77,5%) atau sesuai dengan tujuan yang diharapkan. Kegiatan ini telah memberikan kesempatan bagi masyarakat yang mempunyai keterbatasan akses terhadap informasi maupun teknologi terkait vaksinasi Covid-19 untuk mengikuti program vaksinasi. Kegiatan ini juga memberikan informasi terkait manfaat vaksinasi Covid-19 sebagai upaya peningkatan pengetahuan masyarakat, terutama pada kelompok usia lanjut, sehingga keinginan dan kesadaran masyarakat untuk melakukan vaksinasi dapat dioptimalkan.

PENINGKATAN KOMPETENSI GURU MATEMATIKA SMA KABUPATEN HULU SUNGAI TENGAH DI BIDANG PENELITIAN Aprida Siska Lestia; Dewi Anggraini; Yuana Sukmawaty; Azkia Azkia; Thaibatun Nissa
Jurnal Pengabdian Sumber Daya Manusia Vol. 1 No. 2 (2021): EDISI OKTOBER 2021
Publisher : Scholar Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1090.456 KB)

Pengembangan profesi seorang guru dapat dilakukan salah satunya melalui pelaksanaan penelitian, yang dilanjutkan dengan publikasi atas hasil dari penelitian tersebut. Namun, seringkali kendala seperti masih terbatasnya informasi mengenai berbagai teknik pengumpulan data, keterbatasan penguasaan terhadap metode statistika yang dapat digunakan dalam analisis data, kurangnya pengetahuan dan pengalaman dalam pemanfaatan software untuk pengolahan data penelitian, serta terbatasnya informasi mengenai teknik penyusunan artikel ilmiah dan cara mempublikasikannya menjadi alasan utama masih rendahnya motivasi guru dalam melakukan hal tersebut. Berdasarkan hal ini, Program Studi Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Lambung Mangkurat berinisiatif memberikan pelayanan yang mampu meningkatkan minat para guru-guru Mata Pelajaran Matematika SMA Kabupaten Hulu Sungai Tengah di bidang penelitian. Pelatihan dan pendampingan merupakan metode yang digunakan untuk dapat meningkatkan penguasaan atas metodologi penelitian dan berbagai metode analisis statistika untuk pengolahan data penelitian, serta pengetahuan yang lebih baik mengenai cara melakukan publikasi hasil penelitian melalui penulisan artikel ilmiah. Setelah dilakukan pelatihan, terdapat peningkatan pengetahuan para guru mengenai metode analisis statistika yang dapat digunakan dalam penelitian, termasuk kemampuan menggunakan software dalam melakukan analisis tersebut. Selain itu, para guru juga mengakui bahwa pengetahuannya meningkat dalam membuat tulisan ilmiah dan melakukan publikasi ilmiah setelah adanya kegiatan ini.

REGRESI POISSON TERGENERALISASI I DALAM MENGATASI OVERDISPERSI PADA REGRESI POISSON Zakiah Zakiah; Nur Salam; Dewi Anggraini
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 9, No 1 (2015): JURNAL EPSILON VOLUME 9 NOMOR 1
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Regression analysis is one method to determine and test the causality relationship (cause-effect) between the dependent variable (Y) with the independent variables (X). In general, regression analysis is used to analyze non-free variable data in the form of continuous data and normal distribution. However, in some applications, non-free variable data to be analyzed in the form of discrete data and not normally distributed. One of the regression models that can be used to analyze the relationship between the dependent variable (Y) in the form of discrete data is Poisson regression model whose dependent variable is Poisson distributed. Poisson regression has the assumption of equidispersion that is the condition in which the mean and variance values of the dependent variable are equal, but sometimes there is an assumption violation, where the value of variance is greater than the so-called overdispersion value, so to overcome it can be used one of the extensions of the regression model Poisson is Poisson regression model generalized, this is because the assumption does not require the same mean value with the value of variance. The purpose of this study is how to estimate the Poisson regression model and Poisson regression model generalized I and explain how the generalized Poisson regression model I in overcoming the overdispersion in Poisson regression.

METODE TAGUCHI UNTUK PENINGKATAN KUALITAS MUTU PRODUK Akhriyandi Wijanarta; Nur Salam; Dewi Anggraini
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 8, No 1 (2014): JURNAL EPSILON VOLUME 8 NOMOR 1
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Costumers tend to choose a better product so that the quality improvement of a product is crucial. Quality control is a continuous process to ensure the quality of the products. The Taguchi method that was introduced by Dr. Genichi Taguchi in 1940 used to improve the quality of product and process as well as to reduce the production cost incurred by the company to minimize damage or defect in the products. The purpose of this research is to explain the procedures of Taguchi method to improve product quality. The results of the research show that the procedures using Taguchi method, are: the first step is counting the number of experiments and choosing the form of orthogonal arrays from the number of factors and levels that will be tested. The second step is conducting experiment and obtains data than calculating the mean value, and determining signal to noise rasio that is consistent to the quality characteristics of the experiment. The third step is analyzing experiment data using analysis of variance to determine factors that have a significant influence, then calculating the contribution value of each factor. If the contribution value of factor is smaller than the contribution value of error value then the factor will be pooling up. After getting the optimal alternative factors the fourth step is confirming experiment to examine the conclusion of the obtained data experiment. Furthermore, the five step is calculating the confidence intervals of response mean value betwen the prediction result of Taguchi method and the result of confirming experiment. After that, the sixth step is calculating Taguchi loss function to determine the amount of damage cost spent to improve the quality of product.

MODEL ARIMA (p, d, q) PADA DATA KEMATIAN IBU HAMIL (STUDI KASUS DI RSUD ULIN BANJARMASIN) Dewi Anggraini; Faisal Faisal
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 3, No 2 (2009): JURNAL EPSILON VOLUME 3 NOMOR 2
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Time series analysis is a sequence of quantitative observation at a certain timeinterval, such as daily, monthly, yearly, etc. This analysis has been used foridentifying the characteristic, pattern, and model of observed data in the specifiedpast period that leads to predict the future observation values. Applications oftime series analysis include all aspects such as, meteorology, economy, andmedical area. The deaths prevalence of pregnancy women at delivering process isstill very high. This leads to a significant medical problem in Indonesia. In 2003,this case has been reported 20 women, including 3 cases due to blooding, 3 casesdue to eclampsy, and 14 cases due to other factors. This research is conducted togive an appropriate model to predict the deaths of pregnancy women in the future.The method of this research is using purposive sampling technique, which isgathering 72 secondary data of monthly deaths pregnancy women from2003 - 2008 in the midwife room of Ulin Hospital, Banjarmasin. The experimentprocedures are identifying the appropriate ARIMA model to give the trendmonthly deaths description of pregnancy women, and evaluating the fitted ARIMAmodel to forecast monthly deaths of pregnancy women in the future 10 yearsbased on the given historical data.Based on the conducted analysis, it is found that monthly deaths of pregnancywomen between 2003 and 2008 in Ulin Hospital, Banjarmasin has experienceda slightly increase. The data are discrete with monthly expected value equal to0.625, where the smallest and biggest deaths are 0 and 3 people, respectively.Beside this, it has been investigated that ARIMA (0, 0, 0) or ARMA (0, 0) is thebest ARIMA model for this case because it results the minimum value of AICC.

JOINT LIFE DALAM ASURANSI JIWA BERJANGKA Dini Hidayati; Dewi Anggraini; Dewi Sri Susanti
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 9, No 1 (2015): JURNAL EPSILON VOLUME 9 NOMOR 1
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Generally in life insurance apply the condition of single life and joint life. Single life condition on life insurance is a condition when someone who wants to buy an insurance policy only for himself, meaning that can not be replaced by other people or parties. While the condition of joint life is a condition when two or more people who want to buy an insurance policy. For example husbands, wives, parents, and children, so there is dependence between policyholders either in joint opportunities, the sum insured, or premium payments. This study aims to determine the form of life and death opportunities for 3 policyholders, and joint life formulation in term and term life insurance. This research is a literature study, ie researchers collect materials or materials related to the research topic. Then study and re-explain the concept by applying it to the sample problem. The results of this study indicate that the chances of life and death for 3 people policyholders shaped mxyznp = () Σ = 3miixyznp. The term life joint annuity depends on the chance of living together and certain interest in the form of: xyzna = Σ - = ++ 1011ntxyzttpv and: xyzna = Σ- = 10ntxyzttpv. Insurance joint life futures depend on the chance of dead together and a particular interest in the form of 1: xyznA = Σ - = + 101ntxyzttqv.

ANALISIS PENGARUH PROMOSI, HARGA DAN INOVASI TERHADAP KEPUTUSAN PEMBELIAN PRODUK SASIRANGAN MENGGUNAKAN REGRESI LOGISTIK ORDINAL Dhika Nugraha; Dewi Anggraini; Fuad Muhajirin
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 17, No 1 (2023)
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/epsilon.v17i1.8733

Purchasing decision is a very important thing to create an optimal marketing plan. Promotion, price and innovation are factors that influence the decision to buy a product. Home industry craftsmen must be able to determine the right strategy to increase consumer purchasing decisions for a product. This is a problem that requires a solution by identifying the factors that influence purchasing decisions for sasirangan fabric in one of the home industries in Kalimantan Province using the ordinal logistic regression analysis method. Ordinal logistic regression analysis is a regression analysis in which the response variable is in the form of categories. The results of this study obtained one significant predictor variable, namely the price variable with the OR value obtained 1322 times. Assessment of the decision making process of buyer interest for the price of Sasirangan products is mostly in the high category, 1322 times compared to the low category

THE CONSTRUCTION OF SOFT SETS FROM FUZZY SUBSETS Na'imah Hijriati; Irma Sari Yulianti; Dewi Sri Susanti; Dewi Anggraini
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1473-1482

Molodtsov introduced the concept of soft sets formed from fuzzy subsets in 1999. The soft set formed from a fuzzy subset is a particular form of a soft set on its parameter set. On a soft set formed from a fuzzy subset, the parameter used is the image of a fuzzy subset which is then mapped to the collection of all subsets of a universal set. This research explains the construction of soft sets formed from fuzzy subsets. We provide the sufficient condition that a soft set formed from a fuzzy subset is a subset of another soft set. Also, give some properties of the soft sets formed from a fuzzy subset related to complement and operations concepts in soft sets

Co-Authors Akhriyandi Wijanarta Azkia Azkia Dewi Sri Susanti Dhika Nugraha Dini Hidayati Faisal Faisal Fuad Muhajirin Farid Irma Sari Yulianti Lestia, Aprida Siska Na'imah Hijriati Nabila Septiani Nur Salam Sekar Wahyuningtias Siti Jubaidah Syifa Ajeria Thaibatun Nissa Winda Adinda Tanjung Yuana Sukmawaty Zakiah Zakiah

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