Articles

ANALISIS PENGARUH STRATEGI BAURAN PEMASARAN TERHADAP PEMILIHAN MEREK LAPTOP MENGGUNAKAN REGRESI LOGISTIK MULTINOMIAL (Studi Kasus Mahasiswa Universitas Diponegoro) Himmah, Faiqotul; Wuryandari, Triastuti; Hoyyi, Abdul
MEDIA STATISTIKA Vol 5, No 1 (2012): Media Statistika
Publisher : Jurusan Statistika FSM Undip

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (365.579 KB) | DOI: 10.14710/medstat.5.1.17-26

Abstract

One of necessity is considered very important in this era is necessity for information. The tools that  support necessity of comsumer   for information, such as computer that use battery or better known as laptop. Laptop is a product often used by businessman/enterprise and academic actors also the student are no  exception. There are many laptop brands that revolve in Indonesia, are the Acer brand, Toshiba, Hp, Axioo, Dell, and the brand in addition to those brands. This research aim to know the effect of marketing mix  strategy, which consist of three variable factors: product, price, and promotion to the selection of laptop brand  in  Diponegoro  University  students.  The  sample  of  research  taken  by  using  non probability   sampling,  that  is  purposive  sampling  technique  dan  accidental  sampling technique. Analysis that used is multinomial logistic regression analysis, a regression analysis to  solve  problems  where  dependent  variable  has  more  than  2  categories  with  several independent variables. Based on the significance test for the overall model and the wald test for each parameter coefficient, consider that three of the marketing mix  variables has a relationship with the selection of laptop brand. The biggest probability estimates for the Acer brand in the group with medium product, high price, and high promotion in the amount of 77.461%. The biggest probability estimates for the Toshiba brand in the group with highproduct,  high  price,  and  medium  promotion  in  the  amount  of  49.239%.  The  biggest probability estimates for the Hp brand in the group with medium product, medium price, and medium promotion in the  amount of 46.074%. The biggest probability estimates for the Axioo-Dell brand  in the group with with  medium product,  medium price,  and  medium promotion in the amount of 14.764%. The biggest probability estimates for the other brands in the group with medium product, high price, and medium promotion in the  amount of 22.134%.
KEEFEKTIFAN PRAUJIAN NASIONAL MATEMATIKA TAHUN AKADEMIK 2004/2005 (Studi Kasus di SMK Negeri dan Swasta di Jakarta Selatan 06) Hoyyi, Abdul
MEDIA STATISTIKA Vol 2, No 1 (2009): Media Statistika
Publisher : MEDIA STATISTIKA

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Abstract

National pre-exam is one way of the evaluation to the student’s ability. Through national pre-exam, it would get information how far the student’s preparation to have national exam. National pre-exam is expected to improve student’s score on national exam. In addition, national pre-exam is expected can be used to evaluate student’s preparation and it can predict national examination score. The improving of student’s achievement depends on the way the analysis of change of national examination achievement distribution and description statistics analysis national examination score. The statistics of McNemar’s test is used to know student’s preparation, because the sample is dependent. Correlation and simple linier regression analysis used for analysis prediction. The increase of national examination score not always the effect of pre-national examination. The pre-national examination can’t be used to estimate student’s preparation. The probability student that pass the national exam is higher than pre-national exam. It is caused by pre-national exam is more difficult than national exam through the same passing limit. The score of national exam prediction is obtained confidence limit wide enough. Therefore, the variant national of examination achievements is quite large.  Key words: National Pre-exam, National Exam, Description Analysis, McNemar’s Test; Predictionhttp://ejournal.undip.ac.id/index.php/media_statistika/article/view/2481
PENGUKURAN PROBABILITAS KEBANGKRUTAN OBLIGASI PERUSAHAAN DENGAN MODEL FIRST PASSAGE TIME Diwati, Amalia; Maruddani, Di Asih I; Hoyyi, Abdul
Jurnal Gaussian Vol 1, No 1 (2012): Wisuda Periode Oktober 2012
Publisher : Jurusan Statistika UNDIP

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Abstract

Salah satu akibat dari kegiatan investasi adalah risiko kredit. Risiko kredit ialah risiko kerugian yang berhubungan dengan probabilitas counterparty gagal memenuhi kewajibannya pada saat jatuh tempo. Ada dua permodelan utama dalam analisis risiko kredit yaitu model struktural dan model tereduksi. Model First Passage Time merupakan salah satu model struktural yang diperkenalkan oleh Black dan Cox (1976). Model ini merupakan pengembangan model dasar Merton yang mengasumsikan bahwa kebangkrutan perusahaan dapat terjadi kapanpun, saat awal penerbitan hingga jatuh tempo, ketika nilai aset perusahaan berada di bawah nilai obligasi perusahaan. Studi empiris dilakukan pada data obligasi dan aset PT Bank Lampung Tbk periode November 2004 sampai dengan Januari 2012. Berdasarkan output pemrograman R, diperoleh nilai probabilitas kebangkrutan sebesar 0.002121936% dan nilai pasar ekuitas sebesar Rp 2.127.054.000.000,00.  
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN PEMBELIAN DAN KEPUASAN KONSUMEN PADA NOTEBOOK MEREK ACER (Studi Kasus Mahasiswa Universitas Diponegoro) Bowo, Koko Arie; Hoyyi, Abdul; Hoyyi, Moch. Abdul
Jurnal Gaussian Vol 2, No 1 (2013): Wisuda Periode Januari 2013
Publisher : Jurusan Statistika UNDIP

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Abstract

Consumer perception about notebook product is a variated, this condition based on consumer need is referred that will exploit existing facility at a notebook. Generally, consumer buys a notebook product based on some considerations for example price, brand and product quality. If the product that the of exceed its expectation, consumer will satisfied and possibility will submit the good things about the products to others people. This research aims to analyze the factors that have an effect on purchasing decisions and consumer satisfaction on Acer notebook. Data collecting in this research use questionnaire , that was distributed to 110 students from Diponegoro University that have a Acer notebook.Technique sample uses accidental sampling method. The data obtained are then analyzed using Structural Equation Modeling (SEM). Based on research result is obtained that brand image not has an effect on to purchasing decision Acer notebook, while the product quality and price have an effect on purchasing decision Acer notebook. Despitefully also, the product quality and purchasing decision Acer notebook have an effect on consumer satisfaction. Keywords: brand image, price, quality product, purchasing decision, consumer satisfaction.
PENGUKURAN PROBABILITAS KEBANGKRUTAN OBLIGASI KORPORASI DENGAN SUKU BUNGA VASICEK MODEL MERTON (Studi Kasus Obligasi PT Bank Lampung, Tbk) Ratih, Kumo; Maruddani, Di Asih I; Hoyyi, Abdul
Jurnal Gaussian Vol 1, No 1 (2012): Wisuda Periode Oktober 2012
Publisher : Jurusan Statistika UNDIP

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Abstract

Bond is one of financial instrument that have lower investment risk than stock. One of investment risk is credit risk. Its refers to the risk due to unexpected changes in the credit quality of a counterparty or issuer on maturity date. There are two ways in the modelling of credit risk, structural model and reduced models. The structural model introduced by Black-Scholes (1973) and Merton (1974). On the Merton model assume that default occurs when the firm can not pay the coupon or face value at the maturity date. The interest rate on this model asssumed following Vasicek rate. An empirical study using corporate bond of PT Bank Lampung, Tbk with 300 billion face value. Value of Probability of Default 0,0000007910811% provethat PT Bank Lampung still can full their obigation at November 2012.
KUALITAS PELAYANAN PADA BANK JAWA TENGAH (Studi Kasus : Bank Jateng Cabang Tembalang) Monica, Yosi Dhyas; Hoyyi, Abdul; Mukid, Moch. Abdul
Jurnal Gaussian Vol 2, No 4 (2013): Wisuda Periode Oktober 2013
Publisher : Jurusan Statistika UNDIP

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Abstract

Service attendance quality is superiority level which is be expected and control above its superiority level for satisfying consumen´s desire. In this case, there are 5 service quality dimensions. Those are tangible, reliability, responsiveness, assurance, and emphaty. This research study was doing at Bank Jateng, where the respondents are the customer of Bank Jateng. Importance Performance Analysis consist of two components, there are quadrant analysis and discrepancy analysis (gap). Quadran analysis can find out the respond of cusumens against variable which has plotted based on interest and performance level from those variables. While gap analysis is being used for perceiving discrepancy between performance of a variable with the expectation from consumen against its variable. Customer Satisfaction Index (CSI) is used for discovering overall satisfaction level of customers. The T2 hotelling control chart is to know the qualiy controlof two or more related quality characteristics. Result of the research is showing that for quadran analysis, those variables which representing 5 service quality dimensions be located spread in different quadran. For gap analysis, the service perormance of a bank represented by 20 variables who representing 5 service quality dimensions, all of which is still under customers expectation. CSI value aa big as 72,22% which is mean customers satisfaction index is on the satisfaction criteria. On T Hotelling chart is said that the process is not restrained statistically yet because there are 4 points is on the top of control chart
PENGUKURAN PROBABILITAS KEBANGKRUTAN DAN VALUASI OBLIGASI KORPORASI DENGAN METODE CREDITRISK+ Yustine, Yudia; Hoyyi, Abdul; Maruddani, Di Asih I
Jurnal Gaussian Vol 1, No 1 (2012): Wisuda Periode Oktober 2012
Publisher : Jurusan Statistika UNDIP

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Abstract

In capital market investment particularly the bonds, an investor must consider the credit risk and valuation of bonds. Credit risk refers to the risk due to unexpected changes in the credit quality of a counterparty or issuer. Valuation is amount that investor will receive on future. CreditRisk+ is from Reduced-Form Model which is used to calculate the probability of default and valuation of bonds. This method assumes that default occurs without warning and is therefore unpredictable. Default arrival is described by a Poisson process. Default intensity can expected by rate of corporate. An empirical example use a data set of bond from PT Berlian Laju Tanker, Tbk between 2007 and 2012. Probability of default from Berlian Laju Tanker III Bond is 0,6321206 and its valuation is Rp 153.481.545.500,00.
PENGUKURAN VALUE AT RISK MENGGUNAKAN PROSEDUR VOLATILITY UPDATING HULL AND WHITE BERDASARKAN EXPONENTIALLY WEIGHTED MOVING AVERAGE (EWMA) (Studi Kasus pada Portofolio Dua Saham) Putri, Nurissalma Alivia; Hoyyi, Abdul; Safitri, Diah
Jurnal Gaussian Vol 2, No 4 (2013): Wisuda Periode Oktober 2013
Publisher : Jurusan Statistika UNDIP

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Abstract

Investment is an effort to get profits for individual or institution. But the investment policy is always faced with market risk as the effect of financial instruments movement such as stock price movements. Market risk measurement tool commonly used is Value at Risk (VaR), which measures the amount of loss at a certain confidence level. VaR measurement by Hull and White volatility updating procedure is a modification of the historical simulation involving information of volatility change calculated by Exponentially Weighted Moving Average (EWMA). This procedure is fit to financial data such as stock returns that are generally not normally distributed and are heteroskedastic. VaR calculation applied to the portfolio between Kalbe Farma Tbk (KLBF) stock and Lippo Karawaci Tbk (LPKR) stock from 3 January 2011 to 19 April 2013 were selected based on the largest trading volume at the end of the observation for LQ45 stocks listed in the Indonesia Stock Exchange (IDX) . The data used is the return calculated from the closing price of stocks. The validity of VaR was tested through a back test by Kupiec test, and concluded that the 95% VaR and 99% VaR are valid.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI GIZI BURUK BALITA DI JAWA TENGAH DENGAN METODE SPATIAL DURBIN MODEL Ramadani, Ikha Rizky; Rahmawati, Rita; Hoyyi, Abdul
Jurnal Gaussian Vol 2, No 4 (2013): Wisuda Periode Oktober 2013
Publisher : Jurusan Statistika UNDIP

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Abstract

Severe malnutrition is a state of nutritional deficiencies at a severe level, where the nutritional status is far below the standard. Anyone can suffer from severe malnutrition, especially infants and children who are in the growth period. Central Java Province is one of many provinces in Indonesia where the cases of severe malnourished children under five years are high enough. It is noted that Central Java Province is one of 10 provinces in Indonesia with the highest rate of severe malnutrition cases for 6 years (2005-2010). Using data from year 2011, the result of the Moran’s I test states that there are spatial dependencies on severe malnutrition’s rate of children under five years and some of its influential factors on Central Java Province. Therefore, Spatial Durbin Model (SDM) method is used in this experiment. Variables which significantly affect severe malnutrition on Central Java Province through SDM method are : the numbers of infants with low birth weight ( ), the numbers of houses with good health status ( ), and the numbers of households with access to source of clean water ( ). SDM model obtains value of  as much as 70.3% with AIC and MSE respectively 476.32 and 35280.11, results better than Ordinary Least Square (OLS) which produce  as much as 41.5% with AIC 490.52 and MSE 60653.693
PENGUKURAN RISIKO KREDIT OBLIGASI KORPORASI DENGAN CREDIT VALUE AT RISK (CVAR) DAN OPTIMALISASI PORTOFOLIO MENGGUNAKAN METODE MEAN VARIANCE EFFICIENT PORTFOLIO (MVEP) Somantri, Agus; Maruddani, Di Asih I; Hoyyi, Abdul
Jurnal Gaussian Vol 2, No 3 (2013): Wisuda Periode Agustus 2013
Publisher : Jurusan Statistika UNDIP

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Abstract

Getting benefits of many kinds of coupon is not the only advantage of bond investment, but also it gives potential risks such as credit risk. Credit risk originates from the fact that counterparties may be unable to fulfill their contractual obligations. Credit Value at Risk (CVaR) is introduced as a method to calculate bond credit risk if default occurs. CVaR is defined as the most significant credit loss which occurs unexpectedly at the selected level of confidence, measured as the deviation of Expected Credit Loss (ECL). To construct optimal bond portfolio requires Mean variance Efficient Portfolio (MVEP) method. MVEP is defined as the portfolio with minimum variance among all possible portfolios that can be formed. This study case has been constructed through two bonds, bond VI of Jabar Banten Bank (BJB) year 2009 serial B and bond of  BTPN Bank I year 2009 serial B. Based on the R programming output, the obtained results for bonds with a rating idAA BJB, has a positive CVaR value of Rp 22.728.338,00. While bonds with a rating idAA BTPN and portfolio for both bonds, each of which has a negative CVaR value amounted Rp 28.759.098,00 and Rp 32.187.425,00. CVaR is positive (+) expressed as the loss addition of  ECL while is negative () expressed as a decrease in loss of ECL. For optimal bond portfolio, gained weight for each bond is equal to 16,85202% for BJB and 83,14798% for BTPN bonds.
Co-Authors Afifah Alrizqi Agus Rusgiyono Agus Somantri Ahmat Dhani Riau Bahtiyar Alan Prahutama Allima Stefiana Insani Amalia Diwati Amelia Crystine Anang Asdriargo Andriyani, Mega Fitria Anggit Ratnakusuma, Anggit Anik Nurul Aini, Anik Nurul Annisa Intan Mayasari Ari Fakhrus Sanny, Ari Fakhrus Arlita, Erna Musri Avia Enggar Tyasti, Avia Enggar Bella Cynthia Devi, Bella Cynthia Bisri Merluarini Bitoria Rosa Niashinta, Bitoria Rosa Budi Warsito Candra Silvia, Candra Chyntia Arum Widyastusti, Chyntia Arum Cindy Wahyu Elvitra Darwanto Darwanto Deby Fakhriyana, Deby Dede Zumrohtuliyosi Deden Aditya Nanda, Deden Aditya Dermawanti Dermawanti, Dermawanti Desriwendi Desriwendi Dewi Erliana Dewi Setya Kusumawardani Di Asih I Maruddani Diah Safitri Dwi Ispriyanti DWI RAHMAWATI Endah Cahyaningrum, Endah Esti Pratiwi Faiqotul Himmah Fiki Farkhati Fitra Ramdhani, Fitra Hasbi Yasin Herwindhito Dwi Putranto Ikha Rizky Ramadani Indri Puspitasari, Indri Isowedha Widya Dewi Issabella Marsasella Christy, Issabella Marsasella Juli Sekar Sari, Juli Sekar Kartikaningtiyas Hanunggraheni Saputri, Kartikaningtiyas Hanunggraheni Khotimatus Sholihah, Khotimatus Kiki Febri Azriati Koko Arie Bowo Kumo Ratih Maidiah Dwi Naruri Saida, Maidiah Dwi Naruri Malik Hakam Moch. Abdul Hoyyi Moch. Abdul Mukid MUHAMMAD HARIS Mustafid Mustafid Mutiara Ardin Rifkiani, Mutiara Ardin Nandang Fahmi Jalaludin Malik Novika Pratnyaningrum Nurissalma Alivia Putri Nurul Fauziah Priska Rialita Hardani, Priska Rialita Purina Pakurnia Artiguna Rita Rachmawati, Rita Rita Rahmawati Rizky Oky Ari Satrio Shaumal Luqman, Shaumal Siti Nurlatifah, Siti Sudarno Sudarno Sugito Sugito Suparti Suparti Tarno Tarno Tatik Widiharih Titis Nur Utami, Titis Nur Triastuti Wuryandari Ulfah Sulistyowati Yosi Dhyas Monica Yuciana Wilandari Yudia Yustine Yunisa Ratna Resti, Yunisa Ratna