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All Journal Jurnal Gaussian Jurnal Statistika Universitas Muhammadiyah Semarang

Triastuti Wuryandari

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Author-ID : 452063

Decision Sciences, Operations Research & Management Other

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ANALISIS VARIAN PERCOBAAN FAKTORIAL DUA FAKTOR RAKL DENGAN METODE FIXED ADDITIVE MAIN EFFECTS AND MULTIPLICATIVE INTERACTION Akhmad Zaki; Triastuti Wuryandari; Suparti Suparti
Jurnal Gaussian Vol 3, No 4 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Factorial experiment is an experiment where is in a condition (experiment unit) were attempted simultaneously from several single experiment. Two-factor factorial experiment with the basic design CRBD (Completely Randomized Block Design) is used to assess the interaction of genotype and environment on multi-location trials. The analysis can be applied in multi-location trials is AMMI analysis (additive main effects and multiplicative interaction). AMMI analysis in the calculations using analysis of variance in a factorial experiment to test the effect of the interaction and Principal Component Analysis (PCA) to elucidate the effect of the interaction with the interpretation of the results using the biplot-AMMI. Based on research with seven genotypes of rice (S382b-2-2-3, 3-2-3-1 S2389d-, S24871-65-4, S2824-1d-6, S2945f-59, Poso, and C22) and four locations (Sukamandi 94, Batang 94, Taman Bogo 94, and Garut 94) there is the influence of genotype, location, and interaction with genotype and location on rice production. Obtained three Principal Component Interactions (KUI1, KUI2 and KUI3) with the contribution of diversity respectively 78.29%, 13.94% and 7.77%. Interpretation of the AMMI Biplot is obtained genotype 1 (S382b-2-2-3) very suitable to be planted in a location 4 (Garut 94), genotype 2 (S2389d-3-2-3-1) very suitable to be planted in a location 3 (Taman Bogo 94), genotype 3 (S24871-65-4) is more suitable to be planted in locations 2 (Batang 94), genotype 4 (S2824-1d-6) are very suitable to be planted in a location 4 (Garut 94), genotype 5 (S2945f-59) is more suitable to be planted in locations 2 (Batang 94), genotype 6 (Poso) very suitable to be planted in a location 1 (Sukamandi 94) and genotype 7 (C22) is very suitable to be planted in locations 2 (Batang 94). Keywords: Factorial Experiment, CRBD, AMMI, Analysis of Variance, PCA, Biplot

ANALISIS KORESPONDENSI UNTUK MENDAPATKAN PETA PERSEPSI DAN VARIABEL BAGI KEGIATAN USAHA (Studi Kasus Rumah Makan Spesial Sambal (SS) terhadap Pesaingnya) Susi Ekawati; Agus Rusgiyono; Triastuti Wuryandari
Jurnal Gaussian Vol 4, No 1 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Correspondence analysis is a technique for displaying the rows and columns of a data matrix primarily, a two-way contingency table as points in dual low-dimensional vector spaces. This technique is used to reduce the dimension of variables and describe the profile vector of rows and columns of the contingency table. This research aims to determine the position of the rivalry between the restaurants in Tembalang region based on consumer’s perceptions and to identify variables that distinguish it. The variables which used are including the price, taste, cleanliness, service, variety of food, and parking lots. Correspondence analysis is used to determine the variables that distinguish the 5th of the restaurant. The correspondence analysis produces a combined perceptual map with the satisfaction variables restaurant. From the analysis, it can be concluded that the perceptual map in the correspondence analysis shows the proximity between restaurant and satisfaction variables. Keywords : correspondence analysis, perceptual map, restaurant, satisfaction.

ANALISIS KETAHANAN HIDUP PENDERITA TUBERKULOSIS DENGAN MENGGUNAKAN METODE REGRESI COX KEGAGALAN PROPORSIONAL (Studi Kasus di Puskesmas Kecamatan Kembangan Jakarta Barat) Wulan Safitri; Triastuti Wuryandari; Suparti Suparti
Jurnal Gaussian Vol 5, No 4 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Tuberculosis (TB) is an infectious disease caused by the bacteria of the Mycobacterium groups that is Mycobacterium Tuberculosis. Most of the TB germs attack the lungs, but can also on other organs. In Indonesia based on the Survei Kesehatan Rumah Tangga (SKRT) in 2001 showed TB is the first cause of death in the group of infectious diseases. To determine the factors that affect the rate of healing of patients with TB is using regression analysis, because the dependent variable is the time of failure that equipped with censorship then used cox proportional hazard regression. Cox proportional hazard regression is a regression model that is often used in survival analysis. Survival analysis is the phrase used to describe the analysis of data in the form of times from a well-defined time origin until the occurrence of some particular event or end-point. The cases examined in this study are the factors that affect the rate of healing of patients with TB in Puskesmas Kecamatan Kembangan Jakarta Barat. The conclusion state that the factors affecting the rate of healing of patients with TB are a source of transmitting and medicine records. Keywords: Tuberculosis, Survival Analysis, Cox Proportional Hazard Regression

ANALISIS PEMILIHAN MEREK TELEPON SELULER PADA MAHASISWA UNIVERSITAS DIPONEGORO DENGAN METODE REGRESI LOGISTIK POLITOMUS Maralika Yundya Sari; Triastuti Wuryandari; Yuciana Wilandari
Jurnal Gaussian Vol 2, No 1 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

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

ANALISIS KEPUTUSAN KONSUMEN MEMILIH BAHAN BAKAR MINYAK (BBM) MENGGUNAKAN MODEL REGRESI LOGISTIK BINER DAN MODEL LOG LINIER (Studi Kasus SPBU 44.502.10 Ketileng Semarang) Lintang Ratri Wardhani; Yuciana Wilandari; Triastuti Wuryandari
Jurnal Gaussian Vol 4, No 4 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Fuel oil is a fuel derived and/or processed from petroleum. Fuel is often used for motor vehicles among others premium and pertamax. Some recent times has happened several times increase and decrease in fuel prices, even at the beginning of 2015 has happened a new policy on the elimination of fuel subsidies. It affects on fuel consumption, especially consumption of premuim and pertamax. Many factors influence the consumer's decision in choosing a fuel, therefore needs to be analyzed to find out factors influencing consumer decision in choosing a fuel. This study was conducted to determine the factors that influence consumer decisions in choosing a fuel with a binary logistic regression model and the factors that influence the relationship with log linear models. Binary logistic regression is a method of data analysis used to find the relationship between the response variable (Y) that is binary or dichotomous with some predictor variables (X). Log linear models were used to analyze the relationship between categorical variables. Of a binary logistic regression model obtained influential variable is employment, vehicle age and income variable, with the biggest opportunity is 0,78862, is premium consumers with private employment, the age of the vehicle mote than 5 years and the income less than 1.500.000. for log linear models got the biggest opportunity is 0,91259, is premium consumers to the work of civil servant, the age of the vehicle mote than 5 years and the income less than 1.500.000. Keywords : fuel, binary logistic regression model, log linear models

ANALISIS LAMA KAMBUH PASIEN HIPERTENSI DENGAN SENSOR TIPE III MENGGUNAKAN REGRESI COX KEGAGALAN PROPORSIONAL (Studi Kasus di RSUD Kartini Jepara) Ishlahul Kamal; Triastuti Wuryandari; Hasbi Yasin
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Hypertension is a disease that silently kills the patients because they do not realize that they get hypertension until they check their blood pressure. It is important for hypertensive patients to know the factors that lead to the relapse time. To determine the relationship between the relapse time on hypertensive patients with the influencing factors is using regression analysis, the dependent variable is the failure time so to determine the relationship is using regression Cox proportional hazard. This research uses the medical records of hypertensive patients in period January to December 2014 in RSUD Kartini Jepara. The results indicate that the factors which affect relapse time of hypertension are kidney disease and stroke. The hypertensive patients that also suffer from kidney disease have relapse time sooner than patients who do not suffer from kidney disease. The hypertensive patients that also suffer from stroke have relapse time sooner than patients who do not suffer from a stroke. Keywords: Hypertension, Survival Analysis, Regression Cox Proportional Hazards

PENENTUAN KOMPOSISI WAKTU OPTIMAL PRODUKSI DENGAN METODE TAGUCHI (Studi Kasus: Penelitan di Pabrik Kerupuk Rambak Stik Cap Ikan Bawang, Semarang) Angga Saputra Desti; Triastuti Wuryandari; Sudarno Sudarno
Jurnal Gaussian Vol 3, No 1 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Many businesses crackers facing obstacles in meeting the market demand. Business doers must minimize time in the process so that market demand can be fulfilled. This study aims to minimize the time making process as well as getting the right optimal composition without damaging the quality of the product. Settlement problems using the Taguchi method in experimental design . Factor used is steaming (22 and 19 minutes), the first drying (7 and 6 hours), the second drying (10 and 9 hours) and frying (2 minutes 45 seconds and 2 minutes 30 seconds), as well as variables assessed from the experimental results in terms of taste, color and crunchiness with using organoleptic assessment by a not trained panelists. From the experimental results best factor level selected by SNR and the mean value in terms of taste, color and crunchiness. The composition of the optimal cracker manufacture process to produce the most preferred crackers elected steaming (19 minutes), the first drying (7 hours) , the second drying (9 hours) and frying (2 minutes 30 seconds). Optimal composition of the comparison results with the standard factory based T – test independent sampel the response of taste, color and crunchiness produce the same average, with the time difference for once the process is 310 minutes or 5 hours 10 minutes.

MODEL REGRESI COX PROPORTIONAL HAZARDS PADA DATA LAMA STUDI MAHASISWA (Studi Kasus Di Fakultas Sains dan Matematika Universitas Diponegoro Semarang Mahasiswa Angkatan 2009) Landong Panahatan Hutahaean; Moch. Abdul Mukid; Triastuti Wuryandari
Jurnal Gaussian Vol 3, No 2 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

High education has important role to increase the intellectual life of the nation and the development of natural sciences and technology by producing the quality graduates. The quality graduates just need 48 month to finish the study. There are many factors that will affect time of study students as Grade Point Average(GPA), Bustle student level, etc. Hence, need to know what factors affecting time of study students. One method that can be used is Survival analysis. Survival Analysis is analysis of survival data from the beginning of time research until certain events occurred. One of the methods of survival analysis is Cox Proportional Hazards Regression. Cox Proportional Hazards Regression is a regression which used data of intervals of time an event. The case which is discussed in this research is factors that affect time of study students of Faculty of Science and Mathematics started 2009 Diponegoro of University with the second type of censoring. From the research give conclusion that factors affecting time of study students is Department, GPA, and Organization

PEMODELAN GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION (GWLR) DENGAN FUNGSI PEMBOBOT FIXED GAUSSIAN KERNEL DAN ADAPTIVE GAUSSIAN KERNEL (Studi Kasus : Laju Pertumbuhan Penduduk Provinsi Jawa Tengah) Desriwendi Desriwendi; Abdul Hoyyi; Triastuti Wuryandari
Jurnal Gaussian Vol 4, No 2 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The Population Growth Rate (PGR) that are not controlled will have a negative impact on the various social-economic problems such as increased poverty, crime, and so forth. Factors contributing to the population growth rate of uncontrolled allegedly various between Regency/City. Geographically Weighted Logistic Regression (GWLR) is a local form of the logistic regression where geographical factors considered. This study will analyze the factors that affect the population growth rate of Central Java Province using logistic regression and GWLR with a weighting function of Fixed Gaussian Kernel and Adaptive Gaussian Kernel. The results showed that GWLR model with a weighting function of Adaptive Gaussian Kernel better than logistic regression model and GWLR model with a weighting function of Fixed Gaussian Kernel because it has the smallest Akaike Information Criterion (AIC) value with the classification accuracy is 82.8 %.Keywords : PGR, Logistic Regression, Fixed Gaussian Kernel, Adaptive Gaussian Kernel, GWLR, AIC.

PENGGUNAAN ANALISIS KETAHANAN HIDUP UNTUK PENENTUAN PERIODE GARANSI DAN HARGA PRODUK PADA DATA WAKTU HIDUP LAMPU NEON Dian Ika Pratiwi; Triastuti Wuryandari; Sudarno Sudarno
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Tubular lamp industries nowadays are highly competitive in order to create the most-demanded products. The main factor of consumer’s preferences in this product is quality, particularlythe durability as well as the price. Firstly, the longer a tubular/fluorescent lamp works - which indicates the quality of the fluorescent light - the better. The durability can be also a guideline for the company to determine the warranty cost by finding a value of Mean Time to Failure (MTTF). The next factor for consumers to buy or not to buy the lamp is the price of it. The price of a product can be obtained by calculating its production cost, invariably the warranty cost. In the case of tubular lamp, we use Free Replacement Warranty (FRW) policy and found that the warranty time given by the company for 365 days is precisely compared with the value of MTTF of 391 days. Meanwhile the warranty cost which is calculated by using FRW policy isRp 4.108,00. Keywords: tubular lamp, Mean Time to Failure (MTTF), warranty, cost, Free Replacement Warranty (FRW).

Co-Authors Abdul Hoyyi Agus Rusgiyono Akhmad Zaki Alif Hartati Angga Saputra Desti Annisa Ayu Wulandari Annisa Intan Mayasari ANNISA RAHMAWATI Artha Ida Sri Anggriyani Arya Fendha Ibnu Shina Avida Nugraheni C. Ayu Hapsari Budi Utami Bellina Ayu Rinni Danardono Danardono Desriwendi Desriwendi Desy Rahmawati Ningrat Di Asih I Maruddani Diah Safitri Dian Ika Pratiwi Dwi Ispriyanti Fitriani Fitriani Friska Irnas Adiyani Galuh Riani Putri Gian Kusuma Diah Tantri Haryanti Novitasari Hasbi Yasin Ibnu Athoillah Indradewa, Rhian Ira Puspita Sari Ishlahul Kamal Landong Panahatan Hutahaean Lintang Ratri Wardhani Maralika Yundya Sari Moch. Abdul Mukid Mohamad Reza Pahlevi Mustafid Mustafid Nova Yanti Gultom Novia Dian Ariyani Oka Afranda Puti Cresti Ekacitta Rahma Kurnia Widyawati Restu Sri Rahayu Rita Rahmawati Rizky Ade Putranto Rosmalia Safitri Sarita Budiyani Purnamasari Sindy Saputri Solly Aryza Sudarno Sudarno Sugito Sugito Suparti Suparti Susi Ekawati Syarah Widyaningtyas Tarno Tarno Tatik Widiharih Tri Murda Agus Raditya Tyas Ayu Prasanti Vina Riyana Fitri Wulan Safitri Yuciana Wilandari Yuyun Naifular

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