Yuciana Wilandari
Jurusan Statistika FSM Undip

Published : 71 Documents
Articles

ANALISIS CLUSTER PADA KABUPATEN/KOTA DI JAWA TENGAH BERDASARKAN PRODUKSI PALAWIJA Safitri, Diah; Widiharih, Tatik; Wilandari, Yuciana; Saputra, Arsyil Hendra
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 (213.891 KB) | DOI: 10.14710/medstat.5.1.11-16

Abstract

Production of palawija, namely maize, cassava, sweet potato, peanut, soybean, and green bean is an important food crop in Central Java. In this article, districts/cities in Central Java are grouped into three groups based on the production of palawija so as to know which group have high potential the production of maize, cassava, sweet potato, peanut, soybean or green bean by using k-means cluster analysis. Cluster 1 consists of District Cilacap, Wonosobo, Magelang, Karanganyar, Semarang, Temanggung, Kendal, and Batang that have a high potential in maize production. Cluster 2 consists of District Banyumas, Purbalingga, Banjarnegara, Kebumen, Purworejo, Boyolali, Klaten, Sukoharjo, Sragen, Blora, Rembang, Pati, Kudus, Jepara, Demak, Pekalongan, Pemalang, Tegal, Brebes, Magelang City, Surakarta City, Salatiga City, Semarang City, Pekalongan City, and Tegal City  that have a high potential in peanut production. Cluster 3 consist of District Wonogiri and Grobogan that have a high potential in soybean production, green bean production, cassava production, and sweet potato production
PENGUKURAN RISIKO PADA RETENSI OPTIMAL UNTUK REASURANSI STOP LOSS DENGAN VALUE AT RISK Sunarwatiningsih, Agustina; Wilandari, Yuciana; Rusgiyono, Agus
MEDIA STATISTIKA Vol 4, No 1 (2011): Media Statistika
Publisher : Jurusan Statistika FSM Undip

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (440.774 KB) | DOI: 10.14710/medstat.4.1.23-32

Abstract

Reinsurance is an effective risk management tool for an insurer to minimize the risk of loss. Optimization criteria is based in a minimum VaR of the total risk of in insurer, to derive the optimal retention in stop loss reinsurance. The resulting optimal solution of optimization criterion has several important characteristics, such as: the optimal retention has a very simple analytic form; the optimal retention depends only on the assumed loss distribution and the reinsurer’s loading factor; if optimal solution exist, then VaR based optimization criteria yield the same optimal retentions; there exist a exceeds risk tolerance level which the insurer optimally should not reinsure her risks. The approach allows us  to obtain different results of the optimization problem depends on the measurement of risk used. Furthermore, with optimal retention of risk measurement and minimum of VaR to the total risk, the companies be able to minimize or reduce the loss ratio of claims own retention ceding company. One way to show the existence of an optimal retention used survival function distribution exponensial.   Key words: Stop Loss Reinsurance, Optimal Retention, Value at Risk (VaR)
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KESEMBUHAN PASIEN PENYAKIT FLU BURUNG Wilandari, Yuciana; Safitri, Diah
MEDIA STATISTIKA Vol 2, No 1 (2009): Media Statistika
Publisher : MEDIA STATISTIKA

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Abstract

Avian influenza is contagion which caused by influenza virus type H5N1 often cause death. Avian influenza anticipated to be influenced by gender, age, epidemiology and case, to know the factors have a significant effect used by independent test. is later on made model of regresi binary logistics. Then obtained by factor having an effect is case and epidemiology, that is made regression logistics model. Someone which including case of suspect to be able to have probability recover bigger than someone which including confirmation case, someone which contact with dead an avian to be able to have probability  recover smaller than someone which no contact.
RANCANGAN STRIP PLOT MODEL TETAP Wuryandari, Triastuti; Wilandari, Yuciana; Afifah, Noor
MEDIA STATISTIKA Vol 1, No 1 (2008): Media Statistika
Publisher : Jurusan Statistika FSM Undip

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (123.555 KB) | DOI: 10.14710/medstat.1.1.35-42

Abstract

The experiment involve the study of the effects of two or more factors can be used the factorial designs. The factorial designs have several advantages. They are more efficient than one factor at a time experints. Furthermore, a factorial designs is necessary when interaction may be present to avoid misleading conclutions. In the Strip Plot design is factorial two factors which random factors aren’t  based on main plot or the whole plot but the important is it’s interaction. There are three error in the Strip plot. They are error caused by factor A, error caused by factor B and error by A and B interaction.   Keywords: Factorial, Strip Plot, Interaction
ASURANSI KESEHATAN INDIVIDU PERAWATAN RUMAH SAKIT Wilandari, Yuciana
MATEMATIKA Vol 10, No 3 (2007): JURNAL MATEMATIKA
Publisher : MATEMATIKA

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Abstract

The Individual Insurance Health of the Hospital Care is a cooperation form to reduce hospital expenses. The calculation of the annual net premium is influenced by age and sex at the policy released time. The premium can be paid once in each year by renewing the premium every year and also cannot be renewed.  
Model Dinamik Pertumbuhan Ekonomi Indonesia Pasca Krisis Moneter: Suatu Pendekatan Koreksi Kesalahan (Model Koreksi Kesalahan) I Marudani, Di Asih; Wilandari, Yuciana; Safitri, Diah
JURNAL SAINS DAN MATEMATIKA Volume 15 Issue 1 Year 2007
Publisher : JURNAL SAINS DAN MATEMATIKA

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Abstract

ABSTRACT---Salah satu perkembangan utama pada spesifikasi dinamis adalah Error Correction Model (ECM). ECM dapat dipakai untuk menjelaskan mengapa pelaku ekonomi menghadapi ketidakseimbangan (disequilibrium). Secara khusus, Teorema Representasi Gramger menyatakan bahwa ECM dapat dikatakan valid jika memuat himpunan variabel yang memenuhi uji kointegrasi. Pada hubungan keseimbangan antara xt dan yt adalah : yt = β0 + β1 xt maka dari penurunan rumus diperoleh Error Correction Model : ∆ yt= b1 ∆ xt – λ (yt-1 - β0 - β1 xt-1) + et 0 < λ < 1 Pada penelitian ini, akan diselidiki faktor-faktor yang mempengaruhi pertumbuhan ekonomi Indonesia pasca krisis moneter, yaitu periode 1997(III) – 2004(IV), sebagai studi kasus. Hasil empiris digunakan untuk menyelidiki efek jangka pendek dan jangka panjang dari variabel-variabel penjelas pada model pertumbuhan ekonomi. Dari hasil analisis diperoleh ECM : ∆ln(ĝdp)t = 0.004633 – 0.954748∆ln(kre)t + 0.397869∆ln(eks)t + 0.046700 ∆ln(fdi)t + 0.286713∆ln(kre)t-1– 0.183157∆ln(eks)t-1 – 0.360344∆ln(fdi) t-1 + 0.34592ECT Dan model jangka panjang yang dihasilkan adalah : ln (ĝdp)t= 0.013418 + 1.828841 ln(kre) + 0.470522 ln(eks) – 0.041697 ln (fdi) Kata kunci : Model Koreksi Kesalahan, kointegrasi, stasioneritas
PENGGUNAAN METODE PROJECTED UNIT CREDIT DAN ENTRY AGE NORMAL DALAM PEMBIAYAAN PENSIUN Utami, Ayu Hapsari Budi; Wilandari, Yuciana; Wuryandari, Triastuti
Jurnal Gaussian Vol 1, No 1 (2012): Wisuda Periode Oktober 2012
Publisher : Jurusan Statistika UNDIP

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Abstract

One effort to anticipate the risk of old age is to include every worker in a pension plan. From that pension plan, workers will get a pension benefit at retirement. Before reaching retirement age, there should be an actuarial cost, which includes the normal cost and actuarial liabilities. Both are calculated using actuarial cost methods. Actuarial cost methods are divided into two major categories, are Accrued Benefit Cost Method and Projected Benefit Cost Method. One example of the methods included in Accrued Benefit Cost Method is Projected Unit Credit Method, and one of the methods included in Projected Benefit Cost Method is Entry Age Normal Method. The data used in this thesis are secondary data from PT Taspen (Persero) KCU Semarang. The results of the calculation shows normal cost using Projected Unit Credit method continues to increase with increased salary. Whereas if using Entry Age Normal Method the same amount for each year on an employee. Besides, actuarial liability using Projected Unit Credit Method is smaller than using Entry Age Normal for each employee in each year.
ANALISIS SEKTOR UNGGULAN MENGGUNAKAN DATA PDRB (Studi Kasus BPS Kabupaten Kendal Tahun 2006-2010) Wahyuningtyas, Rosita; Rusgiyono, Agus; Wilandari, Yuciana
Jurnal Gaussian Vol 2, No 3 (2013): Wisuda Periode Agustus 2013
Publisher : Jurusan Statistika UNDIP

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Abstract

Gross Domestic Regional Product (GDRP) is total numbers of added values who’s producting by effort unit in that domestic area’s. GDRP can be classified in two form, that is GRDP at Current Market Prices and GRDP at Constant Prices. GRDP at Current Market Prices is calculating with two approaches, those are approach production and approach income. GRDP at Constant Prices can be calculated using two methods, revaluation and deflation. By using GDRP data, then it can be known which sector is  prominent sector in that region. Some methods who using GDRP data as decisive prominent sector is method of Typology Klassen, LQ, MRP, Overlay and Shift Share. These methods classifying the economic sectors into four groups, they are prominent sector, growing sector, potential sector and under developed sector, based on large of contribution and rate of growth. By taking the study area Kendal Regency and reference area is province Central of Java, then by used that methods can be known which sector be prominent sector in Kendal Regency. Based on the result from analysis methods, they are same result about prominent sector: agriculture sector and mining and quarrying sector
PERBANDINGAN METODE PEMULUSAN EKSPONENSIAL TUNGGAL DAN FUZZY TIME SERIES UNTUK MEMPREDIKSI INDEKS HARGA SAHAM GABUNGAN Fahmi, Taufan; Sudarno, Sudarno; Wilandari, Yuciana
Jurnal Gaussian Vol 2, No 2 (2013): Wisuda Periode April 2013
Publisher : Jurusan Statistika UNDIP

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Abstract

The development of methods of forecasting with time series data quite rapidly result there are many options that the method can be used to predict the data according to the needs and the need to compare one method to the other methods that get results of prediction with high accuracy. In this thesis, comparison of forecasting will be done using measure forecasting accuracy in the form of MAPE, MAE, and MSE of a forecast in calculating the value of The composite stock price index (CSPI) using Single Exponential Smoothing method that will be compared to modern forecasting methods, namely Fuzzy Time Series . Fuzzy Time Series methods used in this study is the method of Fuzzy Time Series proposed by Chen and Cheng. Between the three forecasting methods obtained the best  method is of Cheng’s Fuzzy Time Series.
ANALISIS PEMILIHAN MEREK TELEPON SELULER PADA MAHASISWA UNIVERSITAS DIPONEGORO DENGAN METODE REGRESI LOGISTIK POLITOMUS Sari, Maralika Yundya; Wuryandari, Triastuti; Wilandari, Yuciana
Jurnal Gaussian Vol 2, No 1 (2013): Wisuda Periode Januari 2013
Publisher : Jurusan Statistika UNDIP

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Abstract

Telepon seluler (ponsel) merupakan alat telekomunikasi dua arah yang memiliki mobilitas sangat tinggi. Merek-merek ponsel yang beredar di Indonesia yaitu Nokia, Blackberry, Samsung, Sony Ericsson, merek China dan merek lain. Faktor-faktor yang diduga mempengaruhi mahasiswa Universitas Diponegoro dalam membeli sebuah merek ponsel adalah usia, jenis kelamin, nama merek, harga, fitur, desain dan gaya serta kinerja. Pengambilan sampel penelitian menggunakan salah satu teknik dari non probability sampling, yaitu teknik purposive sampling. Untuk menganalisis permasalahan ini digunakan analisis regresi logistik politomus. Berdasarkan uji signifikansi model dan parameter, diketahui usia, nama merek, harga, fitur, desain dan gaya serta kinerja berpengaruh terhadap pemilihan merek ponsel. Estimasi probabilitas terbesar untuk merek Nokia, Blackberry, Samsung, Sony Ericsson, merek China dan merek lain masing-masing adalah sebesar 96.83%, 94.26%, 86.98%, 93.45%, 86.07% dan 99.99%. Kata Kunci:    ponsel, purposive sampling, regresi logistik politomus
Co-Authors Abdul Hoyyi Afifah Alrizqi Agus Rusgiyono Agustina Sunarwatiningsih Aisha Shaliha Mansoer, Aisha Shaliha Alan Prahutama Alfiyatun Rohmaniyah Alif Hartati Amanda Lucky Berlian Ana Kristiana, Ana Ariyo Kurniawan, Ariyo Arsyil Hendra Saputra Ayu Hapsari Budi Utami Bayu Heryadi Wicaksono Candra Silvia, Candra Chrysmandini Pulung Gumauti, Chrysmandini Pulung Dhinda Amalia Timur Di Asih I Marudani Diah Budiati Diah Safitri Dini Puspita Dwi Ispriyanti Eugenia Septri Hutahayan, Eugenia Septri Feby Kurniawati Heru Prabowo, Feby Kurniawati Heru Fiki Farkhati Fitrian Fariz Ichsandi Galih Maraseta W H Prasaja Galuh Riani Putri, Galuh Riani Gita Suci Ramadhani Gunardi Gunardi Gustriza Erda, Gustriza Hasbi Yasin Hesti Sari Dewi Icha Puspitasari Iyan Antono, Iyan Juli Sekar Sari, Juli Sekar Kelik Isbiyantoro Lintang Ratri Wardhani, Lintang Ratri Maharani Febriana Putri, Maharani Febriana Maralika Yundya Sari Marlia Aide Revani Marta Widyastuti, Marta Moch. Abdul Mukid Muh Najib Hilmi Muhammad Fitri Lutfi Anshari Musandingmi Elok Nurul Islam, Musandingmi Elok Nurul Nanci Rajagukguk, Nanci Niken Nindyaiswari, Niken Noor Afifah Novia Dian Ariyani, Novia Dian Nurhikmah Megawati Prizka Rismawati Arum Pusphita Anna Octaviani Rahayu Ningtyas Ratih Binadari, Ratih Riama Oktaviani Samosir, Riama Oktaviani Rita Rahmawati Rizki Taher Dwi Kurniawati, Rizki Taher Dwi Rosita Wahyuningtyas Rukun Santoso Safitri Daruyani Siti Lis Ina Atul Hidayah, Siti Lis Ina Atul Sri Haryatmi Sudarno Sudarno Sugito Sugito Suparti Suparti Tarno Tarno Tatik Widiharih Taufan Fahmi Tina Diningrum Triastuti Wuryandari Tyas Estiningrum Wasis Wicaksono Wella Rumaenda, Wella Yulia Agnis Sutarno Yuyun Naifular