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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Statistika Universitas Muhammadiyah Semarang AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Kreativitas PKM Jurnal Aplikasi Statistika & Komputasi Statistik METIK JURNAL Variance : Journal of Statistics and Its Applications Jurnal Varian Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Mandalika Mathematics and Educations Journal Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Journal of Mathematics Education and Science Mathematics and Applications (MAp) Journal VARIANSI: Journal of Statistics and Its Application on Teaching and Research Journal of Research Applications in Community Services Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Progressive Physics Journal Eksponensial Journal of Mathematics, Computation and Statistics (JMATHCOS) IJASDS: Indonesian Journal of Applied Statistics and Data Science
Memi Nor Hayati
Universitas Mulawarman
Religion Arts Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Perbandingan Klasifikasi Analisis Diskriminan Fisher dan Metode Naive Bayes Alifta Ainurrochmah; Memi Nor Hayati; Andi M. Ade Satriya
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 11 No 2 (2019): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v11i2.156

Abstract

Klasifikasi adalah suatu teknik pembentukan model dari data yang telah diketahui kelompok klasifikasinya. Model tersebut digunakan untuk mengklasifikasikan obyek baru. Analisis diskriminan Fisher merupakan teknik multivariat untuk memisahkan obyek-obyek dalam kelompok yang berbeda. Naive Bayes merupakan pengklasifikasian berdasarkan probabilitas dan teorema Bayes dengan asumsi independensi yang kuat. Penelitian ini bertujuan melakukan perbandingan tingkat akurasi klasifikasi dengan analisis diskriminan Fisher dan metode naive Bayes pada status pembayaran premi nasabah asuransi. Data yang digunakan memiliki 4 variabel bebas yaitu pendapatan, usia, masa pembayaran premi dan besar pembayaran premi. Hasil kesalahan akurasi dengan menggunakan nilai APER (Apparent Rate Error) menunjukkan bahwa metode naive Bayes memiliki tingkat akurasi yang lebih tinggi sebesar 15,38% daripada analisis diskriminan Fisher sebesar 46,15% dalam menganalisis status pembayaran premi nasabah asuransi.
Geographically Weighted Poisson Regression Model with Adaptive Bisquare Weighting Function (Case study: data on number of leprosy cases in Indonesia 2020) Ineu Sintia; Suyitno Suyitno; Memi Nor Hayati
Jurnal Matematika, Statistika dan Komputasi Vol. 19 No. 1 (2022): SEPTEMBER, 2022
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v19i1.21879

Abstract

Abstract Geographically Weighted Poisson Regression (GWPR) is a Poisson regression model which is applied on spatial data. The parameter estimation of GWPR is done in each observation location through spatial weighting. This study aims to determine the GWPR model of the number of leprosy cases in each province of Indonesia 2020 and to find the influencing factors. The research uses secondary data collected from Indonesian Ministry of Health and Central Statistics Agency. The spatial weighting is calculated by using the adaptive bisquare function, while the optimum bandwidth is determined by using Generalized Cross-Validation criteria (GCV). The parameter estimation of GWPR uses Maximum Likelihood Estimation (MLE) method. The result of research show that the closed form of Maximum Likelihood (ML) estimator can not be found analytically and that the approximation of ML estimator is found by using Newton-Raphson iterative method. Based on the parameter significance test of the GWPR model, the factors that influenced the number of leprosy cases locally are the percentage of households that have access to proper sanitation, population density, the percentage of people who experience health complaints and outpatient, the number of health workers, the percentage of poor people, the percentage of districts/cities that carry out healthy living community movement (GERMAS) and the percentage of habitable houses. While the factors that globally affected the number of leprosy cases are  the percentage of households that have access to proper sanitation, population density, the percentage of people who experience health complaints and outpatient, the number of health workers, the percentage of poor people, the percentage of districts/cities that carry out GERMAS.  
Pelatihan Penggunaan Fungsi Hitung Dasar dan Logika Matematika Statistika untuk Penyelesaian TIU Ika Purnamasari; Meiliyani Siringoringo; Sri Wahyuningsih; Memi Nor Hayati; Suyitno Suyitno; Rito Goejantoro; Surya Prangga
Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM) Vol 6, No 1 (2023): Volume 6 No 1 Januari 2023
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jkpm.v6i1.8423

Abstract

ABSTRAK  Pegawai Negeri Sipil (PNS) yaitu warga negara Indonesia yang memenuhi syarat tertentu, diangkat sebagai Pegawai ASN secara tetap oleh pejabat pembina kepegawaian untuk menduduki jabatan pemerintahan. Pada proses perimaaan CPNS, terdapat dua tahapan Seleksi yaitu SKD dan SKB. Pada SKD, pemerintah memberlakukan passing grade yang menjadi penentu kelulusan ke tahap SKB. Salah satu jenis tes pada tahap SKD yaitu TIU yang merupakan tes untuk mengukur tingkat intelegensi dalam analisa numerik, verbal, figural, serta kemampuan untuk berpikir logis dan analitis. Tujuan kegiatan pelatihan yaitu memberikan informasi kepada masyarakat umum, khusunya masyarakat yang akan mengikuti tes seleksi SKD CPNS 2021 tentang penggunaan fungsi hitung dasar dan logika dalam mengerjakan soal TIU dengan lebih mudah, cepat dan tepat. Berdasarkan hasil penilaian pada saat pelatihan, peserta dapat menunjukkan adanya peningkatan pemahaman dalam menyelesaikan soal TIU dengan mudah, cepat dan tepat.  Hal ini terlihat dari peningkatan nilai skor posttes yang jauh lebih tinggi dibandingkan saat pretes. Kedepannya diharapkan adanya kegiatan lanjutan dengan intensif agar peserta kegiatan dapat terbiasa dalam pemecahan soal dengan cepat. Kata Kunci: ASN; PNS; SKB; SKD; TIU  ABSTRACT  Civil Servants (PNS) is an Indonesian citizen who meets certain conditions, appointed as an ASN employee regularly by the office of staffing to occupy government positions. In the CPNS acceptance process, there are two stages of selection, namely SKD and SKB. In SKD, the government imposes a passing grade that determines graduation to the SKB stage. One type of test at the SKD stage is TIU which is a test to measure the level of intelligence in numerical analysis, verbal ability, figural ability, and the ability to think logically and analytically. The purpose of the training is to provide information to the general public, especially the public who will take the 2021 SKD CPNS selection test on the use of fundamental calculation functions and logic in working on TIU problems more simply, quickly, and precisely. Based on the yield of the assessment at the time of training, participants can show an increased understanding of solving TIU problems simply, quickly, and precisely. The posttest score is much higher than during pretests. In the future, expected that this training can continue intensive so that participants can get used to solving problems more quickly. Keywords: ASN; PNS; SKB; SKD; TIU
Analisis Spasial Persebaran Dan Pemetaan Kerawanan Daerah Titik Panas Di Kalimantan Timur Menggunakan Spatial Pattern Analysis Dan Flexibly Shaped Spatial Scan Statistic Tiara Nur Hikmaulida; Memi Nor Hayati; Sri Wahyuningsih
Progressive Physics Journal Vol 1 No 1 (2020): Progressive Physics Journal
Publisher : Program Studi Fisika, Jurusan Fisika, FMIPA, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (619.476 KB) | DOI: 10.30872/ppj.v1i1.615

Abstract

The statistical method used to analyze spatial data and spatial statistics. The case study in this study is the average number of hotspots in East Kalimantan by Regency / City in 2016-2018. This study aims to analyze the presence or absence of spatial autocorrelation in the data on the number of hotspots, determine the distribution pattern of hotspots, as well as determine the level of vulnerability of potential areas for forest and land fires in East Kalimantan by Regency / City in 2016-2018. The method used to analyze spatial autocorrelation globally and determine the distribution patterns is the Moran Index. Local Indicator of Spatial Autocorrelation (LISA) to analyze spatial autocorrelation locally. Spatial autocorrelation analysis results globally using the Moran Index with α = 25% shows that there is a spatial autocorrelation in the average number of hotspots in East Kalimantan in 2016-2018. The distribution pattern of hotspots in East Kalimantan is the pattern of spread which shows that in 2016-2018 the hotspots spread in each district / city of East Kalimantan. Meanwhile, the results of the local analysis using LISA showed that there were spatial autocorrelations in several districts / cities in East Kalimantan. The method used to determine the level of vulnerability of potential forest and land fires is Flexibly Shaped Spatial Scan Statistics and LISA. The results showed that the regencies / cities included in the category of forest and land fire hazard were Samarinda City, Bontang City, Kutai Kartanegara District and East Kutai.
ANALISIS FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP STATUS PEMBAYARAN KREDIT BARANG ELEKTRONIK DAN FURNITURE MENGGUNAKAN REGRESI LOGISTIK Memi Nor Hayati; Surya Prangga; Rito Goejantoro; Darnah; Ika Purnamasari
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 5 No. 01 (2023)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm66

Abstract

Electronic goods and furniture for some people are currently seen as basic needs that must be met. High prices make it difficult for people to meet their needs with cash purchases, so they choose credit purchases using the services of finance companies in purchasing goods. This study aims to determine the factors that influence the status of credit payments for electronic goods and furniture at PT. KB Finansia Multi Finance Bontang 2020 uses logistic regression. Based on the results of the analysis, it was found that the predictor variables that had a significant effect on the credit payment status response variable were length of stay (domicile) at the address borne by the debtor when applying for credit (X3) and the amount of credit payments charged by the debtor per month (X6). The value of the Apparent Error Rate (APER) of 29.323% indicates that the logistic regression model obtained is also good for solving cases of current and non-current classification of credit payment status.
Penerapan Metode Fuzzy Time Series Using Percentage Change Nurul Hidayah; Ika Purnamasari; Memi Nor Hayati
EKSPONENSIAL Vol 7 No 2 (2016)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (107.311 KB)

Abstract

In 1993, Song and Chissom introduce fuzzy times series is capable of handling the problem of data forecasting if historical data are the values ​​of linguistic. The study uses the modeling outline by way of fuzzy relation equations and approximate reasoning to predict the number of students. In this study, the approach to the theory of fuzzy time series used is fuzzy time series using percentage change developed by Stevenson and Porter in 2009. The case studies used in this study is the population of East Kalimantan Province. This study aims to determine how the application of fuzzy time series method using percentage change in the population of East Kalimantan from 1980 until 2013. Forecasting is done menggukan linguistic value of the fuzzy set which is formed of the differences and converted into a percentage of the universe of discourse as a value data. Based on the results of the application of the method using fuzzy time series of the percentage change obtained 12 fuzzy set which is linguistics of the data, the accuracy of forecasting value from 1981 to 2013 using MAPE (Avarage Forcasting Error Rate) that is equal to 0.557%.
Pemantauan Peramalan Akseptor KB Baru Provinsi Kalimantan Timur Menggunakan Simple Moving Average dan Weighted Moving Average dengan Metode Tracking Signal Eric Sapto Raharjo; Memi Nor Hayati; Sri Wahyuningsih
EKSPONENSIAL Vol 7 No 1 (2016)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (218.042 KB)

Abstract

Simple moving average (SMA) is the basic method used to measure seasonal variations. This method is done by moving the average value counted along the time series. Weighted moving average (WMA) includes selecting weights may be different for each data value and then calculating the weighted average time period of k, the value obtained as the smoothed value.The purpose of this study was to determine the method and the best forecasting model with the results of forecasting on new data on the number of new acceptors KB using tracking signal. Results of this study is to model 3 SMA method is the best monthly tracking signal with a value of -0.0349 to -0.0178 β = 0.1 and β = 0.2 for the forecasting results for the period of January, February, and March 2015 amounted to 8.151, 8.131, and 7.485. For model 3 monthly WMA method is best with a variety of weights W1 = 0.25; W2 = 0.35; W3 = 0,40 tracking signal has a value of -0.0451 to -0.0439 β = 0.1 and β = 0.2 for the forecasting results for the period of January, February, and March 2015 for 8.044, 7.893, and 7.517 , In this case the method of 3-month SMA model is the most appropriate method to forecast the number of new acceptors KB East Kalimantan province.
Penerapan Generalized Poisson Regression I Untuk Mengatasi Overdispersi Pada Regresi Poisson Iim Masfian Nur; Desi Yuniarti; Memi Nor Hayati
EKSPONENSIAL Vol 7 No 1 (2016)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (104.661 KB)

Abstract

Poisson Regression model is commonly used to analyze count data is assumed to have Poisson distribution where the mean and variance values are equal or also called equdispersion. In fact, this assumption is often violated, because the value of variance is greater than the mean value, this condition is called overdispersion. Poisson regression which is applied to the data that contains overdispersion will imply the value of standard error becomes underestimates, so the conclusion is not valid. One of the models that can be used for overdispersion data is Generalized Poisson Regression I (GPR I). This research discuss the handling of overdispersion on Poisson regression using GPR I, with case study modeling the number of cervical cancer cases in East Kalimantan in 2013. In this research GPR I models meet the criteria for suitability of regression compared Poisson regression models because it has a smaller AIC value.
Metode Regresi Robust Dengan Estimasi Method of Moment (Estimasi-MM) Pada Regresi Linier Berganda Hisintus Suban Hurint; Ika Purnamasari; Memi Nor Hayati
EKSPONENSIAL Vol 7 No 2 (2016)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (556.811 KB)

Abstract

Method of Ordinary Least Square (OLS) on the regression analysis is a method which is often used to estimate the parameters. In the OLS method, there are several assumptions that must be fulfilled, these assumptions are often not fulfilled when the data contains outlier, so need a method that are robust to the presence of outliers. In this research, studied method of robust regression with MM-estimation. MM-estimation is a combination of estimation methods that have a high breakdown point, namely the Scale estimation(S-estimation) and Least Trimmed Square estimation (LTS estimation) and the method that have higher efficiency point, namely the Maximum Likelihood Type estimation (M-estimation). The first step in the MM-estimation is to find the S-estimator, then set the parameter regression using the M-estimation. The purpose of this study was to determine the effect of price index of foodstuffs ( ), the price index of education ), and the price index of health ) to the CPI for the province of east borneo, where the CPI data contains outliers, namely observation to 13, 31,and 32.
Analisis Autokorelasi Spasialtitik Panas Di Kalimantan Timur Menggunakan Indeks Moran dan Local Indicator Of Spatial Autocorrelation (LISA) Nurmalia Purwita Yuriantari; Memi Nor Hayati; Sri Wahyuningsih
EKSPONENSIAL Vol 8 No 1 (2017)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (773.151 KB)

Abstract

In the last few decades has developed statistical methods relating to spatial science, is the spatial statistics. Spatial Statistics aims to analyze spatial data. The case studies in this study was the amount of hotspots in East Kalimantan by Regency/City in years 2014-2016. This study aimed to analyze the existence of spatial autocorrelation in the data the amount of hotspots as well as determine the level of vulnerability to potential areas of forest and land fires in East Kalimantan by Regency/City in 2014-2016. The method used to analyze the global spatial autocorrelation is the Moran Index method and Local Indicators of Spatial Autocorrelation (LISA) for analyze spatialautocorrelation locally. The results of the analysis of global spatial autocorrelation using the Moran index with α = 20% showed there spatial autocorrelation amount of hotspots in East Kalimantan in 2014, 2015, and 2016. Meanwhile, the analysis results locally using LISA showed that there spatial autocorrelation in several Regency/City in East Kalimantan in 2014, 2015 and 2016. The analysis results Regency/City that belong to the vulnerable category of forest and land fires is Bontang City, Kutai Barat Regency, Kutai Kartanegara Regency, Mahakam Ulu Regency, dan Penajam Paser Utara Regency and Samarinda City.
Co-Authors - Purhadi Abda Abda Alifta Ainurrochmah Amanah Saeroni Anak Agung Gede Sugianthara Andi M. Ade Satriya Anjani Anjani Annabaa Aulia, Muzizah Asnita, Asnita Astuti, Putri Sri Cahyaningsih, Ariyanti Candra Dewi, Ni Luh Ayu Casuarina, Indah Putri Damayanti, Elok Dani, Andrea Tri Rian Darnah Darnah Darnah, Darnah Desi Yuniarti Deviyana Nurmin Dewi, Isma Diani, Milda Alfitri Dini Elizabeth Dwi Husnul Mubiin Edy Fahrin Emi Harmianti Eric Sapto Raharjo Fatma wati Fauzia, Rina Fauziyah, Meirinda Fidia Deny Tisna Amijaya Goenjatoro, Rito Hadisti, Zahrah Dhafina Hadistii, Zahrah Dhafiinia Hidayatullah, Aji Syarif Hisintus Suban Hurint Ibrahim, Rizky Nur Iim Masfian Nur Ika Purnamasari Ika Purnamasari Ika Puspita, Ika Ineu Sintia Julia Julia Julnita Bidangan Karima, Nabila Al Kartika Ramadani Khairun Nida Khasanah, Lisa Dwi Nurul Krisna Rendi Awalludin Lestari, Nur Aini Ayu Lili Widyastuti Lupinda, Indah Cahyani M. Fathurahman Mahmuda, Siti Marsandy, Aldwin Falah Hasan Masrawanti Masrawanti Meiliyani Siringoringo Messakh, Gerald Claudio Mochammad Imron Awalludin Muhammad Jainudin Nabilla, Maghrisa Ayu Nana Nirwana Nanda Arista Rizki Nida, Khairun Ningsih, Eva Lestari Nohe, Darnah Andi Nur - Azizah Nur Annisa Fitri Nur Azizah Nur Fajar Apriyani Nurmalia Purwita Yuriantari Nurmin, Deviyana Nurul Hidayah Oroh, Chiko Zet Paradilla, Yunda Sasha Pratama Yuly Nugraha Pratiwi, Reni Purhadi - Putri Ayu Dwi Lestari, Putri Ayu Dwi Putri, Nurlia Sucianti Rahmah, Putri Aulia Rahmaulidyah, Fatihah Noor Ramadani, Kartika Riska Veronika Rito Goejantoro, Rito Ronald Tediwibawa Safitri, Ranita Nur Sari, Devi Nur Endah Sa’diyah, Lita Vindiyatus Sekar Nur Utami Sembiring, Rinawati Sifriyani, Sifriyani Sinaga, Julia Oriana Siringoringo, Meiliyani Siti Mahmuda Siti Rahmah Binaiya Soraya, Raihana Sri Wahyuningsih Sri Wahyuningsih Sri Wahyuningsih Suerni, Widya - Sumartini Sumartini Surya Prangga Suyitno Suyitno Suyitno Suyitno Suyitno Suyitno Suyitno Suyono, Ari Krisna Syamsiar, Syamsiar Syaripuddin Syaripuddin Tiara Nur Hikmaulida Tiara Nurul Ma’ala Utami, Riska Putri Verawaty Bettyani Sitorus Wahyuni, Nanda Anggun Yuki Novia Nasution, Yuki Novia Yuniarti, Desi