Garuda - Garba Rujukan Digital

Article Per Year (5 Year)

p-Index From 2021 - 2026

0.23

P-Index

This Author published in this journals

All Journal Jurnal Gaussian Jurnal Statistika Universitas Muhammadiyah Semarang

Yuciana Wilandari

Unknown Affiliation

Author-ID : 475549

Decision Sciences, Operations Research & Management Other

Published : 46 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3 4 5

PENINGKATAN PRODUKTIVITAS BENANG POLYESTER COTTON 45 MELALUI ANALISIS TOTAL QUALITY CONTROL (Studi kasus di PT Panca Bintang Tunggal Sejahtera) Afifah Alrizqi; Yuciana Wilandari; Abdul Hoyyi
Jurnal Gaussian Vol 3, No 3 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

PT Panca Bintang Tunggal Sejahtera is a company which operate in textill and garment. The main product is polyester cotton 45 yarn. In the production activity, still failed product. To determine what factors caused the failure of polyester cotton 45 yarn, used the analysis of Total Quality Control to control devices such as check sheet, stratification, bar chart, control chart, cause and effect diagrams, Pareto charts, and scatter plot. From the results of the check sheet, stratification and histogram obtained the highest type of failure is uneven sliver, which is as much as 1871 kg for a month. From the individual unit control chart, indicated that the activities of the production process there are deviations which are beyond the limits of product controllers that need improvement. A cause and effect diagram result show that the biggest factor causing the failure of the product due to labor factor due to lack of training and supervision. Therefore, the company can make improvements with priority on the labor factor.

PERBANDINGAN METODE PEMULUSAN EKSPONENSIAL TUNGGAL DAN FUZZY TIME SERIES UNTUK MEMPREDIKSI INDEKS HARGA SAHAM GABUNGAN Taufan Fahmi; Sudarno Sudarno; Yuciana Wilandari
Jurnal Gaussian Vol 2, No 2 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

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 ANTRIAN ANGKUTAN PENYEBERANGAN PELABUHAN MERAK Ariyo Kurniawan; Sugito Sugito; Yuciana Wilandari
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Marine transportation has an important role on economy and migration from one island to another island. Port is a gateway to enter an area and connecting infrastructure between islands. Merak port as the connector of traffic lanes between Java’s island and Sumatra’s island with Ro-Ro ship. Ro-Ro ship is marine transportation that can load a vehicle rolling on and rolling off the ship with its auto-movement (Roll on Roll off). As a service provider of the Ro-Ro ships, the port of Merak trying to serve Ro-Ro ship as good as possible. Measurement of performance system can be analyzed with direct research in the port. The research is being done by observation and recording of the Ro-Ro ships at the pier port of Merak. Based on the results of the analysis, queue model at the port of Merak is (G/G/5) :(GD/∞/∞). Queuing system simulation and ship docking’s cost analysis can be a reference for the port in optimizing management performance the port of Merak crossing. Keywords: supplemental cost, defined benefit plans, accrued benefit cost.

FAKTOR-FAKTOR YANG MEMPENGARUHI STATUS KELULUSAN BERDASARKAN JALUR MASUK MAHASISWA DENGAN MODEL REGRESI LOGISTIK BINER BIVARIAT (Studi Kasus Mahasiswa FSM Universitas Diponegoro) Safitri Daruyani; Yuciana Wilandari; Hasbi Yasin
Jurnal Gaussian Vol 2, No 4 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The acceptance of college students in public universities are divided into two ways, the National Selection of Public University Entrance by invitation and the National Selection of Public University Entrance by non invitation. The National Selection of Public University Entrance by invitation is a way to get candidate students from The Senior High Schools that have good achievement, where as the other one open wider access. Nevertheless, the college students who enter through the invitation or non invitation, they don’t necessarily have a better academic achievement or worse than each other. After through the learning process in college, the success of the students are marked with their academic achievement that shown by the index of academic achievement, that if they pass expressed by the status of graduation, cumlaude or not cumlaude. To find out the factors that affect the status of student graduation based on the entrance, the regretion model that can be used is bivariate biner logistic regretion, because it consist of two response variable, the status of graduation and the entrance of the college students. Maximum likelihood estimation is used to estimate the parameter model. To examine the significance of the parameter use Likelihood ratio test and Wald test. Major option and live adress are the significance variables that affect the status of graduation based on the entrance of the college student from predictor variable partially test of school report grades, national test grades, major option, live adress, study method, live cost, students’ relationship with friends and family,and study motivation. Whole test and individual test indicate that major option variable affect the status of graduation based on the entrance significantly.

IDENTIFIKASI MODEL ANTRIAN BUS RAPID TRANSIT (BRT) PADA HALTE OPERASIONAL BRT SEMARANG Niken Nindyaiswari; Sugito Sugito; Yuciana Wilandari
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The process of a queue is a process related with the attending of customers in a service facility, standing in line waiting for the service while the servers are busy servicing the other customers, the customers will leave the facility after getting the service. This process is usually happened in the public services such as at the operational shelter of Semarang Bus Rapid Transit (BRT) Semarang. BRT Semarang has 4 departure gates and transit bus stop passed by all of the buses. The BRT does not have special track. It has to pass though the same road as the other kinds of buses. As a result there are queues in some crowded BRT shelters especially at the service in the departure and shelters that are passed through by all BRT or tracks. An effective special queue model is needed to make the service in the departure and transit shelter more effective. Based on the result of the analysis the best queue model is at the departure shelter track I, II, III, and IV they use the same models (M/G/1) (GD/∞/∞) and the queue models at the City Hall Transit Shelter are (G/G/1) (GD/∞/∞). Key words: queue process, model of queue, Semarang BRT

PEMODELAN MULTIVARIATE ADAPTIVE REGRESSION SPLINES (MARS) PADA FAKTOR-FAKTOR RESIKO ANGKA KESAKITAN DIARE (Studi Kasus : Angka Kesakitan Diare Di Jawa Tengah, Jawa Timur Dan Daerah Istimewa Yogyakarta Tahun 2011) Wasis Wicaksono; Yuciana Wilandari; Suparti Suparti
Jurnal Gaussian Vol 3, No 2 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Diarrhea morbidity is a number of diarrhea suffers in specific region in period of one year per 1000 populations. Diarrhea morbidity is the impact from some factors such as environment, education, socioeconomic, nutrition and foods. Environmental factors that can affect the morbidity of diarrhea include the percentage of families who have a healthy latrine and percentage of households using clean water. For educational factors include the average length of school and literacy rates. On socio-economic factors include the percentage of poor and average people per household. While the food and nutritional factors are the percentage TUPM (Public Places and Food Management) healthy.Diarrhea morbidity can be pressed by analyzing those factors so that the prevention can be devised. Regression curve is used to draw the relationship of response variable and predictor variable and mostly approached by parametric regression, where the curve design is known (such as linear, quadratic and cubic). If curve design is unknown, then regression curve can be derived by approaching using non parametric regression. Multivariate Adaptive Regression Spline (MARS) is one of nonparametric regression method that can be used on high dimension data. the best MARS model is derived by combination of Minimal Observation (MO), Maximum Basic Function (BF), and Maximal Interaction (MI) through trial and error. MARS model to predict diarrhea morbidity in Central Java, East Java and Yogyakarta is MARS (MO=2;BF=28;MI=3) and equation is = -0.526742 + 0.264444 * BF2 + 12.2382 * BF5 - 7.76719 * BF15 + 4.96445 * BF17

ANALISIS INDEKS HARGA SAHAM GABUNGAN (IHSG) DENGAN MENGGUNAKAN MODEL REGRESI KERNEL Icha Puspitasari; Suparti Suparti; Yuciana Wilandari
Jurnal Gaussian Vol 1, No 1 (2012): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Saham merupakaninvestasi yang banyak dipilih para investor, salah satu indikator yang menunjukkan pergerakan harga saham adalah Indeks Harga Saham Gabungan (IHSG). IHSG merupakan data runtun waktu sehingga untuk menganalisisnya dapat menggunakan metode runtun waktu klasik. Namun dengan metode tersebut banyak asumsi yang harus dipenuhi, sehingga diperlukan metode alternatif salah satunya metode regresi nonparametrik karena dalam model regresi nonparametrik tidak ada asumsi khusus sehingga model ini merupakan metode alternatif yang dapat digunakan dalam analisis IHSG. Dalam makalah ini dibandingkan nilai MSE yang dihasilkan dari analisis runtun waktu klasik, regresi parametrik linier sederhana dan regresi nonparametrik kernel. Data IHSG yang digunakan adalah periode minggu pertama Januari 2011 sampai dengan minggu ke empat Februari 2012. Data tersebut merupakan data closing price saham mingguan pada periode perdagangan terakhir. Hasil perbandingan nilai MSE dari dataIHSG yang sering fluktuatif pada tiga analisis didapatkan nilai MSE terkecil adalah pada analisis menggunakan regresi nonparametrik kernel dengan fungsi triangle dan badwidth h sebesar 58.2 dengan nilai MSE = 6987.787. Model terbaik tersebut dapat digunakan untuk memprediksikan nilai IHSG selanjutnya.

Peramalan Laju Inflasi dan Nilai Tukar Rupiah Terhadap Dolar Amerika Menggunakan Model Vector Autoregressive (VAR) Fitrian Fariz Ichsandi; Rita Rahmawati; Yuciana Wilandari
Jurnal Gaussian Vol 3, No 4 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Vector Autoregressive Method (VAR) is a simultaneous equation model has several endogeneous variables. In the VAR Model each variable endogeneous is explained by lag from own value and lag from the other variable. Equation of VAR generally use to forecast. In this final task VAR model was applied to find the forecasting value of inflation rate in Indonesia and the US dollar exchange rates. Testing in VAR models includes stationarity test, granger causality test and white noise test. Based on the analysis showed that inflation variable and US dollar exchange rates variable are both experiencing differencing first lag so as mentions for both variables become d_inflasi and d_kurs. The best lag for VAR model is lag 3 for each model. Forecasting for 5 periods refers to indicate that inflation rate fluctuated is stable at the average rate 0,33% while the US dollar exchange rates tended to decrease on 4 periode and increase on periode to 5 with an average exchange rate is Rp. 10.018,76.Keywords: inflation, US dollar exchange rates, VAR

RANCANGAN ACAK KELOMPOK TAK LENGKAP SEIMBANG PARSIAL (RAKTLSP) Gustriza Erda; Tatik Widiharih; Yuciana Wilandari
Jurnal Gaussian Vol 4, No 2 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Partially Balanced Incomplete Block Designs (PBIBD) is a design with v treatments arranged into b blocks with every block which is consist of into k treatment (k < v) that in every treatment only occurs once in every block, and there are pair treatment which occur together in the same block as much as λm times. The pair treatments on PBIBD is based on the association scheme. This undegraduate thesis uses triangular association scheme that is two-class association scheme (first and second association). This scheme is used to determine the first and second association of every treatment. Based on formed association, it will obtain the number of pairs treatment that occurs in every block that will be designed (λm, m=1,2). The test that is used is test of treatments effect because only treatments that is important which are adjusted treatment for the reason that not all treatments occurs in every block. Assumptions which is required is the assumption of residual normality, equal variances, and independence assumption. The advanced test to be held is Tuckey Test (Honest Significance Difference). To clarify the discussion on PBID, examples of applications in the field of animal husbandry are given to observe the effect of the type of foods that contain alfalfa effect toward weight gain of turkey. The result obtained indicate that there are significant types of foods that contain alfalfa effect toward weight gain of turkey. Where is the recommended type of food is the food of A that contain 2,5% alfafa type 22.Keywords : PBIBD, Triangular association, Tuckey Test, Normality, Equal Variances, Independence

ANALISIS HUBUNGAN ANTARA LAMA STUDI, JALUR MASUK DAN INDEKS PRESTASI KUMULATIF (IPK) MENGGUNAKAN MODEL LOG LINIER (STUDI KASUS: LULUSAN MAHASISWA FSM UNDIP PERIODE WISUDA TAHUN 2012/2013) Diah Budiati; Yuciana Wilandari; Suparti Suparti
Jurnal Gaussian Vol 3, No 1 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Graduation is the end result of the process learning during the lectures in college. One of the duties and responsibilities of the college is to produce quality graduates, which college will prepare candidates reliable scholars, achievers and have special expertise in the field. To achieve S1 degree course each student must complete his college studies load. In the process of completion of the study load many factors at play, both internal and external factors. These factors are not directly specify a person in graduation. In this study, the internal factors are long study, driveways and university grade point average (GPA) of students. The purpose of this study was to determine the relationship between the internal factors in terms of graduation. One method used to determine the relationship between the factors is log linear models. Estimating a log linear model using the Maximum Likelihood Estimation (MLE), which is followed by Newton-Raphson iteration. Selection of the best model was conducted using Backward Elimination. To test the significance of the model has been obtained to use Goodness of Fit Test. After testing on the whole, it is known that each of the factors that play a role in graduate student tested and there was an interaction between the period of study with a GPA of factors.

Co-Authors Abdul Hoyyi Adhitya Ronnie Effendie, Adhitya Ronnie Afifah Alrizqi Agus Rusgiyono Aisha Shaliha Mansoer Alfiyatun Rohmaniyah Alif Hartati Ariyo Kurniawan Ayu Hapsari Budi Utami Bayu Heryadi Wicaksono Candra Silvia Dhinda Amalia Timur Diah Budiati Diah Safitri Dini Puspita Dwi Ispriyanti Feby Kurniawati Heru Prabowo Fiki Farkhati Fitrian Fariz Ichsandi Galih Maraseta W H Prasaja Galuh Riani Putri Gita Suci Ramadhani Gustriza Erda Hasbi Yasin Iantazar Rezqitullah Maharsi Icha Puspitasari Indradewa, Rhian Iyan Antono Kelik Isbiyantoro Lintang Ratri Wardhani Maharani Febriana Putri Maralika Yundya Sari Marlia Aide Revani Marta Widyastuti Moch. Abdul Mukid Muh Najib Hilmi Muhammad Fitri Lutfi Anshari Musandingmi Elok Nurul Islam Niken Nindyaiswari Novia Dian Ariyani Prizka Rismawati Arum Rahayu Ningtyas Ratih Binadari Rita Rahmawati Rizki Taher Dwi Kurniawati Rosita Wahyuningtyas Rukun Santoso Safitri Daruyani Siti Lis Ina Atul Hidayah Sudarno Sudarno Sugito Sugito Suparti Suparti Tarno Tarno Tatik Widiharih Taufan Fahmi Tina Diningrum Triastuti Wuryandari Tyas Estiningrum Wasis Wicaksono Wella Rumaenda Yuyun Naifular

Title

Found 46 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 46 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 46 Documents
Search