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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
PENGGUNAAN PENDEKATAN CAPITAL ASSET PRICING MODEL DAN METODE VARIANCE-COVARIANCE DALAM PROSES MANAJEMEN PORTOFOLIO SAHAM (Studi Kasus: Saham-Saham Kelompok Jakarta Islamic Index) Ikhsan, Aulia; Ispriyanti, Dwi; Rahmawati, Rita
Jurnal Gaussian Vol 3, No 1 (2014): 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 (330.052 KB) | DOI: 10.14710/j.gauss.v3i1.4772

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The great amount of risk arising from stock investment make investors create a portfolio in order to minimize it. To achieve this aim, a portfolio management in which consist of several processes is required. There are three important processes in portfolio management. First, the selection of stocks that will be selected into the portfolio by Capital Asset Pricing Model (CAPM). Second, portfolio optimization by defining the weight of fund allocation for every stock in portfolio by Mean Variance Efficient Portofolio (MVEP), and third, estimating the risk of the optimal portfolio by Variance-Covariance. There are seven stocks picked into portfolio through the research done by Jakarta Islamic Index (JII) group, where the biggest fund allocation given to stock of EXCL (PT XL Axiata, Tbk) and the smallest fund allocation given to stock of ITMG (PT Indo Tambangraya Megah, Tbk). The amount of loss that estimated on 95% confidence level is 2,65% from initial capital invested on stock portfolio during one day holding period after portfolio were created.
PENENTUAN FAKTOR PRIORITAS MAHASISWA DALAM MEMILIH TELEPON SELULER MERK BLACKBERRY DENGAN FUZZY AHP Shega, Hanien Nia H; Rahmawati, Rita; Yasin, Hasbi
Jurnal Gaussian Vol 1, No 1 (2012): 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 (569.133 KB) | DOI: 10.14710/j.gauss.v1i1.575

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This study aims to determine the priority factor Diponegoro University students in choosing a BlackBerry mobile phone brands. Consumer or buyer is often confused in making the decision to buy a product because of the many factors that affect the choices available. From the method of Analytic Hierarchy Process (AHP) was found to be too subjective assessment of uncertainty for qualitative data. The problems above can be solved by the method of Fuzzy Analytic Hierarchy Process (FAHP), which uses the interval so that the assessment of qualitative data can provide a more objective assessment. The criteria used to be in this research are quality, price, design, and service. The data were taken by spreading questionnaires. From the answer of respondent, calculation of ratio was performed with a consistency ratio (CR). If CR<0.10 it means the answer of respondent is consisten and can be used for Fuzzy AHP. Based on the result of research, it could be concluded that quality was the top priority with 0.278 priority weights, then the service with 0.254 priority weights, design with 0.240 priority weight, and price with 0.228 priority weights.
PEMBANGKITAN SAMPEL RANDOM MENGGUNAKAN ALGORITMA METROPOLIS-HASTINGS Irwanti, Lies Kurnia; Mukid, Moch. Abdul; Rahmawati, Rita
Jurnal Gaussian Vol 1, No 1 (2012): 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 (351.749 KB) | DOI: 10.14710/j.gauss.v1i1.901

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Generating random samples can be done directly and indirectly using simulation techniques. This final project will discuss the process of generating random samples and estimate the parameters using an indirect simulation. Indirect simulation techniques used if the target distribution has a complicated shape and high dimension of density functions. Markov Chain Monte Carlo (MCMC) simulation is a solution to do it. One of the algorithms that is commonly used is Metropolis-Hastings. This algorithm uses the mechanism of acceptance and rejection to generate a sequence of random samples. In the example to be discussed, Metropolis-Hastings algorithm is applied to generate random samples of Beta distribution and also estimate the parameter value of the Poisson distribution using a proposal distribution random-walk Metropolis.
ANALISIS KERAGAMAN PADA DATA HILANG DALAM RANCANGAN KISI SEIMBANG Diwangkari, Nariswari; Rahmawati, Rita; Safitri, Diah
Jurnal Gaussian Vol 5, No 1 (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 (642.127 KB) | DOI: 10.14710/j.gauss.v5i1.11038

Abstract

In a research, it is required a design experiment that obtained a conclusion desired. Balanced Lattices design is an experiment which the number of groups is k, the number of treatment is equal to square of the number of groups (k2) and the number of replication is equal to the number of groups plus one (k+1). In Balanced Lattices design often occurs the missing data. There are two methods estimate missing data. The first method is use equation. The second method is iteration. The second method is used if there was more than one missing data. Analysis of varians in of missing data in Balanced Lattices design is counted as in the complete, but the total degrees of freedom and the error degrees of freedom are substracted by m, respectively where m is the number of missing data. Based on the data used, a research conducted to determine the influence of 16 varieties fertilizer to the product of grain. The result of the research shows that in the case of with one missing data resulting that there is influence of varieties fertilizer to the product of grain with the F count is 5,092. The results of the study with two missing data resulting that there is influence varieties fertilizer to the product of grain with the F count is 4,246. The pairwise test of means by LSD test resulting that the variety fertilizer is varieties fertilizer 14. There is no significant different of the influence with varieties fertilizer 12, 11, 15, 3, 8, 4 and 6. Keywords: Balanced Lattices Designs, Analysis of Varians, LSD Test
IMPLEMENTASI METODE SAW DAN WASPAS DENGAN PEMBOBOTAN ROC DALAM SELEKSI PENERIMAAN PESERTA DIDIK BARU (Studi Kasus: Madrasah Tsanawiyah (MTs) Negeri Kisaran Kabupaten Asahan Provinsi Sumatera Utara Tahun Ajaran 2018/2019) Nabila, Eva Salsa; Rahmawati, Rita; Widiharih, Tatik
Jurnal Gaussian Vol 8, No 4 (2019): 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 (995.655 KB) | DOI: 10.14710/j.gauss.v8i4.26723

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Multi Attribute Decision Making (MADM) is one of the decision-making methods to determine the best alternative from a number of alternatives based on certain criteria. There are several methods that can be used to solve MADM problems including Simple Additive Weighting (SAW) and Weighted Aggregated Sum Product Assesmen (WASPAS). Both methods are applied in the selection of prospective new students. In this study, MTsN Kisaran selected 192 students received from 422 registrans and determined certain criteria to get quality students. The criteria determined are the value of the national exam, the value of the Al-Qur'an test, and the value of the academic potential test. The method applied is SAW and WASPAS with the  weighting Rank Order Centroid (ROC). Then a sensitivity analysis is carried out to determine a viable methods selected to obtain optimal results. This research was designed with the help of the Matlab GUI as a computing tool to simplify and accelerate the selection process. Based on the results of the study, the average percentage value of sensitivity for the SAW method was -0.82% while the WASPAS method was -0.87%. With the existence of sensitivity analysis it can be known the most appropriate method for this case is the SAW method.                                                   Keywords: Students, SAW, WASPAS, ROC, Sensitivity, GUI Matlab.
ANALISIS INTEGRASI SPASIAL PASAR CABAI MERAH KERITING DI JAWA TENGAH DENGAN METODE VECTOR ERROR CORRECTION MODEL Samantha, Kenia; Tarno, Tarno; Rahmawati, Rita
Jurnal Gaussian Vol 10, No 2 (2021): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.v10i2.29007

Abstract

Curly red chili (Capsicum annuum L.) is one of commodity which has a big influence to the national economy. To maintain the price stability of curly red chili, an integrated market is needed. Spatial market integration is the level of closeness of relations between regional markets and other regional markets. Spatial market integration will be modeled by the Vector Error Correction Model (VECM) method to see the closeness of both short and long term relationships. The object of this study is the price of curly red chili for several regions in Central Java, such as Kota Semarang, Kab. Demak, Kab. Pati, and Kab. Pekalongan in the period January 2016 to December 2019 where the data has met the stationarity test at first level of difference. In Johansen's cointegration test, it was obtained 3 cointegrations, which means that in each short-term period all variables tend to adjust to each other to achieve long-term balance. Granger causality test shows that there is a two-way relationship and the relationship affects one variable to another for all variables. The VECM model obtained has the MAPE accuracy value for HCMK Semarang 15.93%, Kab. Demak 17.61%, Kab. Pati 15.88%, and Kab. Pekalongan 14.49% which can be interpreted that the performance of the model is good. Keywords: Curly Red Chili, Spatial Market Integration, VECM, Johansen's Cointegration, Granger Causality
Co-Authors - Siswandari Abd. Rahman, Ika Marlina Abdul Djohar Abdul Hoyyi Abraham Yazdi Martin Adisti Permatasari Putri Hartoyo Agung Santoso Agus Rusgiyono Agus Setiawan Agustifa Zea Tazliqoh Agustinus Lolok Alan Prahutama Alan Prahutama Aldila Abid Awali Alfahari Anggoro, Alfahari Allima Stefiana Insani Ambariyani Ambariyani, Ambariyani Anggita Puri Savitri Anggraini Susanti Kusumawardani Ani Mardiantari Ani, Adesi Rizki Indri Anik Djuraidah Anindya Aryu Inayati Annikmah Farida Annisa Nur Fathia Anton Suhartono Anwar, M. Syaiful Apriliani, Afmi Arif Kurnia Wijayanto Aripin, Khairul Asep Yoyo Wardaya Asmuni Hayat Aulia Ikhsan Betha Noranita Bhinekawati, Henny Budi Warsito Bunyamin Chrysmandini Pulung Gumauti, Chrysmandini Pulung Chyntia Arum Widyastusti Danil, Mahmud Daniyati, Dian Dedy Douglas Harianja Devy, Happy Sista 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 Elvia Ivada Erfan Sofha Esti Zaduqisti Esti Zaduqisti Fajar Heru Setiawan Fajar, Malik FANDI AHMAD Farda Nur Sa&#039;adah Farida, Annikamah Fatima, Suwanto Fikri, Aan Maudlihul Firda Megawati Fitria Aprilia Suherman Fitrian Fariz Ichsandi Fitta Setiajiati Gamal Abdel Nasser Masikki Habib Ismail, Habib Hafii Risalam Hanien Nia H Shega Hasbi Yasin Hasbi Yasin Herliansyah, Muhammad Rudy Ika Sartika Ika Trisnawati A Ikha Rizky Ramadani Ikhwanudin Illahi, Muhammad Jaya Indrayati Galugu Indria Tsani Hazhiah Istiroha Ita Dwilestari Iwannudin Jamilah Jamilah Lies Kurnia Irwanti Lina Karlinasari 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, Muhamad 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 Andi Septiadi Muhammad Hilman Rizki Abdullah Muhammad Husein Maruapey Muhammad Luthfie Muhammad Rendi Ramdhani Muhammad Yusuf Muhimmi, Aliyatul Mumaiyizah, Mumaiyizah Mustafid Mustafid Mustafid Mustafid Mutiara Ardin Rifkiani Nabila, Eva Salsa Nafidhatul Firda Eka Syahfitri Nariswari Diwangkari, Nariswari Niken Anggraini Dewi Noor Fitri Novian Trianggara Novie Eriska Aritonang Nur Alfi Khotamin Nur Alfi Khotamin, Nur Alfi Nurhikmah Megawati Nuril Faiz NURUL QOMARIYAH Nurul Ramadhany Octafinnanda Ummu Fairuzdhiya Onny Kartika Hitasari Oom Komala Pagiling, luther Pratama Ganang Widayaka Pratiko, Mono Puji Retnowati Purnamasari, Irma Rahayu Ningtyas Rahmawati, Rizky Devi Ramdani, Faisal Tri Riana Ikadianti Rifana, Haikal Zaky Rifki Adi Pamungkas, Rifki Adi Rindayati, Rindayati Rini, Etika Risqi, Muhammad Riyan Eko Putri Rizki Taher Dwi Kurniawati Rizqi Izrul Alamsyah Robertus Heri Sulistyo Utomo Roestamy, Martin Ronny Gusnadi Rosyadi, Hanang Rosyidah, Haniatur Rukun Santoso Rumuzi, Moh. Sabella, Shalsa Putri Sabhariyah, Riesmiati Samantha, Kenia Santoso, Haris Sastrawan, Berry Satriawan, Handi Seta Satria Utama Shinta Dewi Rismawati Sirojuddin, Wawan SISWOYO Siti Nur Qomariah St.Nawal Jaya Sudarno Sudarno Sugito - Sugito Sugito Sukanianto, Eko Adyan Sukarelawati Sukarelawati Suparti Suparti Susanti, Mey Syah, Hengky Firman Syahfitri, Nafidhatul Firda Eka Tarno Tarno Tarno Tarno Tatik Widiharih Tatik Widiharih Thoha, Silvia Milady Azkiya Tri W., Vian Sigit Triana Sofiani Triana Sofiani Trianah Shofiani Triastuti Wuryandari Ula, Fashihatul Ulfah Juniarti Siregar umah, khoiroh Umam, Misbahul Fuadil USWATUN HASANAH Vica Nurani Wati, Eka Masitho Wilis Ardiana Pradana Yuanita Syaiful Yuciana Wilandari Yuciana Wilandari Yulianita . Yunisa Ratna Resti Yunita, Norma Zahroh, Roihatul