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ANALISIS SPASIAL PENGARUH TINGKAT PENGANGGURAN TERHADAP KEMISKINAN DI INDONESIA (Studi Kasus Provinsi Jawa Tengah) Rahmawati, Rita; Safitri, Diah; Fairuzdhiya, Octafinnanda Ummu
MEDIA STATISTIKA Vol 8, No 1 (2015): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (507.192 KB) | DOI: 10.14710/medstat.8.1.23-30

Abstract

Poverty is still being one of big problems in Indonesia. Any efforts are done to find a solution for this problem. Poverty itself can be caused of the high unemployment that occurs. With a number of unemployment, it will be lower income thus reducing also purchasing power and the ability to meet the needs of life thus causing poverty. This study analyzed the impact of unemployment to the poverty as involving spatial factors, using spatial regression analysis. Used data on poverty and unemployment in each regency in the central java, the analysis shows that based on likelihood ratio test, obtained LR test value 6,038 or p-value 0,014001 which means there is a spatial correlation. By testing model simultaneously nor individually using Breusch-Pagan test and Wald test, it show that both are significant, with BP = 6,7094; df = 1; p-value = 0,009591 and Wald statistic = 7,0238; p-value = 0,0080434. The results means there are spatial element in the relations between unemployment and poverty in central java so that SEM is more proper used than ordinary linear regression. Keywords: Spatial Error Model (SEM), Spatial Autocorrelation, Spatial Heterogeneity
ESTIMASI PARAMETER DISTRIBUSI WEIBULL DUA PARAMETER MENGGUNAKAN METODE BAYES Hazhiah, Indria Tsani; Sugito, Sugito; Rahmawati, Rita
MEDIA STATISTIKA Vol 5, No 1 (2012): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (351.174 KB) | DOI: 10.14710/medstat.5.1.27-35

Abstract

Interval estimation of a parameter is one part of statistical inference. One of the methods that used is the Bayes method. A Bayesian method is combine prior distribution and distribution of samples, so that the posterior distribution can be obtained. Interval estimation using a method Bayes called credibel interval estimation. In this thesis, the distribution of the sample is used a two-parameter Weibull distribution scale-shape-version of survival distribution (reliability). Data that used are data that is not censored data type and data type II censored if prior distribution using non-informative which of the produce distribution the resulting posterior distribution is gamma distribution. Parameters of the sample distribution that to find out is a parameter that  by the parameter c (shape parameter) known while the parameter b (scale parameter) had unknown. Keywords: Bayes Method, Two-Parameters Weibull Distribution , Gamma Distribution, The Estimated Credible Interval.
ANALISIS PENGARUH KARAKTERISTIK WILAYAH (KELURAHAN) TERHADAP BANYAKNYA KASUS DEMAM BERDARAH DENGUE (DBD) DI KOTA SEMARANG Rahmawati, Rita; Kartono, Kartono; Sulistyo, Robertus Heri; Noranita, Betha; Sarwoko, Eko Adi; Wardaya, Asep Yoyo
MEDIA STATISTIKA Vol 5, No 2 (2012): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (251.452 KB) | DOI: 10.14710/medstat.5.2.87-93

Abstract

DBD still become one of the major problems of public health in Indonesia because the death rate tended sufferers to increase from year to year. Incredible happening (KLB) of DBD which was initially occurring every five years, now it’s getting often happens. In the city of Semarang, during 2009 occurring 165 times KLB in urban village, 35 times KLB in the level of community health centers and 15 times KLB at the district level. Though the number of DBD cases in 2009 from 2008 was declining, but in this year also noted that the number of deaths resulting from DBD increased to 43 people from 18 people in 2008. This research aims to analyze the characteristics of the neighborhood (whose data is always updated by BPS via PODES) that affect the number of cases of DBD (whose data is always updated by DKK) in Semarang city, by creating the best regression models using stepwise technique. Regression model analysis of results obtained best is Y = 23.029 + 0.004 X1 – 0.074 X2 + 0.070X3, where Y is IR/10000 PDDK, that is the number of residents affected by DBD for each 10000 inhabitants, X1 is the number of residents aged 15-24 years, X2 is total area of land of rice fields and X3 is area of land for buildings and grounds around the page. Keywords: DBD, Characteristics of the Neighborhood, Regression, Stepwise
PENELUSURAN KERAGAMAN DALAM BLOK PADA RANCANGAN ACAK KELOMPOK DENGAN INTERGRADIEN Rahmawati, Rita
MEDIA STATISTIKA Vol 1, No 2 (2008): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (55.887 KB) | DOI: 10.14710/medstat.1.2.63-68

Abstract

Dalam Rancangan Acak Kelompok Lengkap (RAKL), asumsi terpenting adalah unit percobaan dalam blok harus bersifat homogen. Asumsi ini sulit dipenuhi jika ukuran blok terlalu besar. Penelitian ini bertujuan untuk menelusuri keragaman yang ada dalam blok dengan memasukkan unsur arah keragaman (baris atau kolom dalam blok) yang mungkin ada, sehingga analisis ragam yang kemudian dihasilkan akan memberikan keragaman galat yang lebih kecil. Penelusuran keragaman dengan cara ini disebut analisis Intergradien. Dalam penelitian ini digunakan data jumlah anakan produktif/rumpun yang diperoleh dari Balai Tanaman Padi Sukamandi dalam Penelitian Interaksi antara Genotipe dengan Lingkungan Galur Harapan Padi Sawah pada Agroklimat Utama. Hasil dari penelitian ini, juga dengan data simulasi, memberi kesimpulan bahwa analisis Intergradien dalam RAKL menghasilkan kuadrat tengah galat (KTG) yang lebih kecil daripada RAKL biasa. Tetapi karena unsur baris dan arah keragaman pada data jumlah anakan produktif/rumpun tidak berpengaruh nyata pada alpha 5%, maka digunakan RAKL biasa untuk menentukan varietas terbaik. Dengan RAKL, didapatkan IR71031 memiliki jumlah anakan produktif/rumpun yang paling besar.
PEMODELAN VECTOR AUTOREGRESSIVE X (VARX) UNTUK MERAMALKAN JUMLAH UANG BEREDAR DI INDONESIA Rosyidah, Haniatur; Rahmawati, Rita; Prahutama, Alan
Jurnal Gaussian Vol 6, No 3 (2017): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (527.466 KB) | DOI: 10.14710/j.gauss.v6i3.19306

Abstract

The economic stability of a country can be seen from the value of inflation. The money supply in a country will affect the value of inflation, so it is necessary to control the money supply. The money supply in Indonesia consists of currency, quasi money, and securities other than shares. One of the factors affecting the amount of currency, quasi money, and securities other than shares is the SBI interest rate. Time series data from the money supply components are correlated. To explain multiple time series data variables that are correlated we can use the VAR approach. VAR model with the addition of an exogenous variable is called VARX. The purpose of this study is to obtain models to predict the amount of currency, quasi money, securities other than shares using the VARX approach with the SBI interest rate as an exogenous variable. The results of data analysis in this study, the model obtained is VARX (1,1). Based on t test with 5% significance level, SBI interest rate variable has no significant effect to variable of currency amount, amount of quasi money, or amount of securities other than shares. Residual model VARX (1,1) satisfies the white noise assumption, while the normal multivariate assumption is not satisfied. The value of MAPE for currency variables (7,53969%), quasi money (0,49036%), and securities other than shares (9,64245%) indicates that the VARX (1,1) model has excellent forecasting ability that can be used for forecasting future periods. Forecasting results indicate an increase in the amount of currency, quasi money, or securities other than shares in each period..Keywords : Amount of currency, amount of quasi money, amount of securities other than shares, SBI interest rate, VARX, MAPE
PERBANDINGAN MODEL GWR DENGAN FIXED DAN ADAPTIVE BANDWIDTH UNTUK PERSENTASE PENDUDUK MISKIN DI JAWA TENGAH Pamungkas, Rifki Adi; Yasin, Hasbi; Rahmawati, Rita
Jurnal Gaussian Vol 5, No 3 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (653.337 KB) | DOI: 10.14710/j.gauss.v5i3.14710

Abstract

Regression analysis is statistical method for modeling the dependency relationship that might exist among the dependent variable with independent variable.  Geographically Weighted Regression (GWR) is an expansion of linier regression model where each of the parameters from every observation sites is counted, so each sites have local regression parameter. Weighted Least Square (WLS) model is applied to estimate the parameter of GWR model. GWR method differentiates bandwidth kernel into two, fixed bandwidth kernel and adaptive bandwidth kernel. Fixed kernel has the same bandwidth in each observation location, meanwhile adaptive kernel has different bandwidth value in each observation location. Cross Validation (CV) is used to choose the most optimum bandwidth. The application of GWR model to show the percentage of poor population at district and city of Central Java shows that GWR model is significantly different in each location towards global regression model, also the estimated model will also give different result between one location and another. Based on Akaike Information Criterion (AIC) value between global regression models with GWR, it is know that GWR model with fixed exponentially weighted kernel is the best model to use to analyze the percentage poor population at district and city of Central Java because of it has the smallest AIC value. Keywords: Akaike Information Criterion, Bandwidth, Cross Validation, Exponential Kernel Function, Geographically Weighted Regression, Weighted Least Square
PENGHITUNGAN PREMI ASURANSI LONG TERM CARE UNTUK MODEL MULTI STATUS Gumauti, Chrysmandini Pulung; Wilandari, Yuciana; Rahmawati, Rita
Jurnal Gaussian Vol 5, No 2 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (633.454 KB) | DOI: 10.14710/j.gauss.v5i2.11848

Abstract

Health insurance is insurance that provides health benefit in the form of a cash compensation for the cost of treatment and care. One of the health insurance’s products is Long Term Care (LTC) insurance. LTC insurance guarantees nursing and medical expense, preferred for elderly people in the future. Proper calculation the cost of premiums is needed to maintain the reserve fund appropriate for insurance company to fulfill the policy agreement. In this final project will be discussed about calculation of premiums for LTC insurance products Annuity as A Rider Benefit as a multi-state models (three states), which is based on Markov transition probability matrix. Data used is the data prevalence rate of heart disease in the United Kingdom in 2014. By calculating premiums of multi-state models, insurance products are expected to be able to guarantee health care expense according insured’s needs. Result of this premiums calculation is the older someone takes insurance, greater the annual net premium to be paid. Keywords: health insurance, Long Term Care insurance, multiple state models, Annuity as A Rider Benefit product, Markov transition.
PERBANDINGAN REGRESI KOMPONEN UTAMA DENGAN REGRESI RIDGE PADA ANALISIS FAKTOR-FAKTOR PENDAPATAN ASLI DAERAH (PAD) PROVINSI JAWA TENGAH Tazliqoh, Agustifa Zea; Rahmawati, Rita; Safitri, Diah
Jurnal Gaussian Vol 4, No 1 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (457.273 KB) | DOI: 10.14710/j.gauss.v4i1.8098

Abstract

Assuming violation multicollinearity in classical regression analysis can cause estimator resulting from classical model regression inefficient. Principal components regression and ridge regression are the methods that can be used to overcome the problem of multicollinearity. This research aimed to compare between the principal components regression with ridge regression to tackle the problem of multicollinearity in the analysis of the factors that affect revenue (PAD) of the Central Java province. The data used in this research are data revenue (PAD), and factors that affect the region, such as local tax, retribution, Gross Regional Domestic Products (GRDP) at current prices, Gross Regional Domestic Products (GRDP) at constant prices, population, regional spending. Based on the coefficient of determination value and test on individual regression coefficients, the value of variance inflation factor and correlations sufficiently high among some independent variables so we can conclude the existence of a violation of multicollinearity on analysis factors PAD. Based on standard error resulting from principal components regression and ridge regression show that principal components regression results in a standard smaller error. This shows that principal component regression is better than ridge regression in solving the problem multicollinearity on analysis of factors that affects pad province of central java. Keywords: Multicolinearity, revenue (PAD), Principal Component Regression, Ridge Regression, standard error
Pengendalian Kualitas Data Atribut Multivariat dengan Mahalanobis Distance dan T2 Hotelling (Studi Kasus PT Metec Semarang) Anggoro, Alfahari; Mustafid, Mustafid; Rahmawati, Rita
Jurnal Gaussian Vol 5, No 3 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (689.406 KB) | DOI: 10.14710/j.gauss.v5i3.14687

Abstract

Vending machine is a machine used to sell the product automatically without any operator. Data vending machine products are classifiable in the attribute data for the category of disabled and not disabled. To maintain consistency of product quality and in accordance with market needs, it is necessary to do quality control on the activity undertaken. In the production process, to monitor the quality of service can be used multivariate control charts. Diagram control is often used is the Mahalanobis Distance and T2 Hotelling. The study was conducted on the data of defects in the production of vending machines in September 2013 to April 2015. Results showed that in the control diagram Mahalanobis Distance acquired upper limit value is 15.615 the control diagram is known there are two observations that are outside the control limits. While the T2 Hotelling control chart obtained upper limit value is 36.12 and all observations are within control limits. The production process has been good vending machine, known from the process capability of Cp value of 1.1503.Keywords: Vending Machine, Mahalanobis Distance, T2 Hotelling
PENERAPAN METODE WEIGHTED PRODUCT (WP) DAN ELIMINATION ET CHOIX TRANDUISANT LA REALITÉ (ELECTRE) DENGAN PEMBOBOTAN ENTROPY MENGGUNAKAN GUI MATLAB (Studi Kasus: Pemilihan Hero Terkuat Arena of Valor) Sukanianto, Eko Adyan; Sugito, Sugito; Rahmawati, Rita
Jurnal Gaussian Vol 7, No 2 (2018): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1148.455 KB) | DOI: 10.14710/j.gauss.v7i2.26645

Abstract

Arena of Valor (AOV) is a mobile game published by Garena in Indonesia. There will be 5 players in each team, selecting a hero to play in the game. By selecting the strongest hero each role can help facilitate team to strategize the composition of heroes that will be used to achieve victory. Weighting each criteria and selecting the strongest hero also become a consideration to control the game to be stable and balanced by the developer. The alternatives are all hero from each role (Tank, Warrior, Assassin, Mage, Archer and Support), while the criterias are skill effect points, maximum HP (Health Points), physical attack, physical defense, movement speed and HP recovery every 5 seconds. In this study, the writer uses WP and ELECTRE methods to select the strongest hero with Entropy weighting method. This study produce a Matlab GUI that can be used to facilitate computational selection. The results show that the strongest hero in AOV are Grakk (Tank), Astrid (Warrior), Ormarr (Warrior), Murad (Warrior/Assassin), Lauriel (Mage/Assassin), The Joker (Archer) and Alice (Support). While the criteria with the highest weighting is the skill. Keywords: AOV, Garena Indonesia, WP, ELECTRE, Entropy, GUI Matlab
Co-Authors - Siswandari Abd. Rahman, Ika Marlina Abdul Djohar Abdul Hoyyi Abraham Yazdi Martin Abubakar Iskandar Adisti Permatasari Putri Hartoyo Afrizal Sidik Agung Santoso Agus Rusgiyono Agus Suarman Sudarsa Agustifa Zea Tazliqoh Agustinus Lolok AHMAD BURHANUDDIN Ahmad Desta Reswandi Alan Prahutama Alan Prahutama Aldila Abid Awali Alfahari Anggoro, Alfahari Alinda Allima Stefiana Insani Ambariyani Ambariyani, Ambariyani Angga Saputra Anggita Puri Savitri Anggraeni, Devina Nurul Anggraeni, Nadiya Anggraini Susanti Kusumawardani Ani Mardiantari Ani, Adesi Rizki Indri Anik Djuraidah Anindya Aryu Inayati Anjas, Muhammad Annikmah Farida Annikmah Farida, Annikmah Annisa Nur Fathia Anton Suhartono Anwar, M. Syaiful Aprilia, Fadillah Apriliani, Afmi Apriliyani, Neng Virly Arif Kurnia Wijayanto Arsyad, Mufid Asep Mulyana Asep Mulyana Asep Yoyo Wardaya Asmuni Hayat Assayuti, Muhammad Jalaludin Aulia Ikhsan Azahari, Ratnasari Azhari, Ratnasari Aziz, Hilmy Azzahra Nur Safitri Bawamenewi, Venni Alfrianni Betha Noranita Bhinekawati, Henny Budi Warsito Bunyamin Chrysmandini Pulung Gumauti, Chrysmandini Pulung Chyntia Arum Widyastusti Cinta, Nur Cuhandi Dadang Darmawan Danil, Mahmud Daniyati, Dian Dede Syahrudin Dedy Douglas Harianja Denny Hernawan, Denny Devy, Happy Sista Di Asih I Maruddani Diah Safitri Diah Safitri Dian Daniyati Dian E Idris Gentini Dina Rosmalia Listya Utami Dwi Ispriyanti Ebeit Devita Simatupang Eka Nurzannah Eko Adi Sarwoko Eko Adyan Sukanianto Elfito, Fidya Arzita Elvia Ivada Erfan Sofha Esti Zaduqisti Esti Zaduqisti Esti Zaduqisty Eti karini Euis Salbiah Fajar Heru Setiawan Fajar, Malik FANDI AHMAD Farda Nur Sa'adah Farhati, Muthia Zahra Farida, Annikamah Fatima, Suwanto Fauzi, Kiki Rizki Fikri, Aan Maudlihul Firda Megawati Fitri, Rina Nuzulia Fitria Aprilia Suherman Fitrian Fariz Ichsandi Fitta Setiajiati Gamal Abdel Nasser Masikki Ginung Pratidina Gotfridus Goris Seran Habib Ismail, Habib Hafii Risalam Hanien Nia H Shega Haryadi, Wanda Maulana Hasbi Yasin Hasbi Yasin Herliansyah, Muhammad Rudy Heryati, Ade Ika Sartika Ika Trisnawati A Ikha Rizky Ramadani Ikhwanudin Illahi, Muhammad Jaya Indrakusumah, Faruq Indrayati Galugu Indria Tsani Hazhiah Indriani, Agustina Irhamuddin Irmawati Istiroha Ita Dwilestari Iwannudin Leni Laelawati Levina, Geralda Lies Kurnia Irwanti Lina Karlinasari Luthfie, Muhammad Lydon, Novel Anak Lyndon, Novel Anak M. Muslih M. Muslih Husein M.Pd S.T. S.Pd. I Gde Wawan Sudatha . Madani, Hilmi Naufal Maharani Febriana Putri Marthin Nosry Mooy Maruapey, M. Husein Maslachah, Maslachah Mega Susilowati Melati Puspa Nur Fadlilah Moch. Abdul Mukid Moch. Abdul Mukid Mohammad Yahya Mono Pratiko Gustomi Muchammad Aziz Chusen Muhammad Abid Muhyidin Muhammad Afif Muhammad Alfonzo Aprilio Irawan Muhammad Andi Septiadi Muhammad Hilman Rizki Abdullah Muhammad Husein Maruapey Muhammad Husein Maruapey muhammad luthfie Muhammad Rendi Ramdhani Muhammad Yusuf Muhimmi, Aliyatul Mulyana, Ana Mumaiyizah, Mumaiyizah Mursyidah, Euis Mustafid Mustafid Mustafid Mustafid Mustopa, Eliza Nur Fauziah Mutiara Ardin Rifkiani Nabila, Eva Salsa Nabilah, Siti Nafidhatul Firda Eka Syahfitri Nariswari Diwangkari, Nariswari Niken Anggraini Dewi Ningrum, Elis Salsiah Noor Fitri Novian Trianggara Novie Eriska Aritonang Nugraha, Fahri Nugraha, Rayhan Cahya Nur Alfi Khotamin Nur Alfi Khotamin, Nur Alfi Nuranti, Ayu Nurfadhillah, Annisya Nurhikmah Megawati Nuril Faiz Nurohmah, Siti NurRizki, Muhammad NURUL QOMARIYAH Nurul Ramadhany Nurwijayanti Octafinnanda Ummu Fairuzdhiya Onny Kartika Hitasari Oom Komala Pagiling, luther Pratama Ganang Widayaka Pratiko, Mono Puji Retnowati Purnama, Maulana Hasyim Purnamasari, Irma Purwo Jatmiko Putri, Listya Eka R. Oetje Subagdja R. Oetje Subagdja Rachmawati, Siti Hesti Rahayu Ningtyas Rahman Wijaya Laksana Rahman, Muhammad Faizal Rezza Rahmawati, Rizky Devi Rakhmat, Rakhmat Ramdani, Faisal Tri Riana Ikadianti Rifana, Haikal Zaky Rifki Adi Pamungkas, Rifki Adi Rindayati, Rindayati Risqi, Muhammad Riyan Eko Putri Rizki Taher Dwi Kurniawati Rizqi Izrul Alamsyah Robertus Heri Sulistyo Utomo Roestamy, Martin Ronny Gusnadi Rosyadi, Hanang Rosyidah, Haniatur Rudi Santoso Rukun Santoso Rumuzi, Moh. Rusliandy, Rusliandy Rustandi, Resyiana Saffira Rutinaias Haholongan Sabella, Shalsa Putri Sabhariyah, Riesmiati Samantha, Kenia Sandi Sanjaya, Sandi Santoso, Haris Saprudin Saprudin Saprudin, Saprudin Sastrawan, Berry Satriawan, Handi Seftina, Any Shifa Seta Satria Utama Shinta Dewi Rismawati Sirojuddin, Wawan SISWOYO Siti Julaeha, Siti Siti Nur Qomariah Soebagdja, R. Oetje Sri Harini Sri Wijayanti Sri Wijayanti St.Nawal Jaya Suarman, Agus Sudarno Sudarno Sugito - Sugito Sugito Sugiyanto - Sukanianto, Eko Adyan Sukarelawati Sukarelawati Sultoni, Muhammad Rafli Suminar, Mimin Suparti Suparti Supriatna, Hendra Susanti, Mey Syah, Hengky Firman Syahfitri, Nafidhatul Firda Eka Syeh Sarip Hadaiyatullah Tarno Tarno Tarno Tarno Tatik Widiharih Tatik Widiharih Thoha, Silvia Milady Azkiya Tohir, M. Abdullah Tri W., Vian Sigit Tri Widyastuti, Ambar Triana Sofiani Triana Sofiani Trianah Shofiani Triastuti Wuryandari Trisnawati A, Ika Ula, Fashihatul Ulfah Juniarti Siregar umah, khoiroh Umam, Misbahul Fuadil Umar A. J, Sabrina Mubarak USWATUN HASANAH Vica Nurani Wahyudin, Cecep Wati, Eka Masitho Wilis Ardiana Pradana Yuanita Syaiful Yuciana Wilandari Yuciana Wilandari Yulianita . Yunisa Ratna Resti Yunita, Norma Yunita, Trizalia Zahroh, Roihatul Zulfa, Iin Dana Zulfikar, Muhamad