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Sudarno Sudarno
Jurusan Teknik Lingkungan, Fakultas Teknik, UNDIP, Semarang
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KAJIAN DATA KETAHANAN HIDUP TERSENSOR TIPE I BERDISTRIBUSI EKSPONENSIAL DAN SIX SIGMA Murti, Victoria Dwi; Sudarno, Sudarno; Suparti, Suparti
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 (675.946 KB) | DOI: 10.14710/j.gauss.v1i1.917

Abstract

Analisis data tahan hidup biasanya digunakan untuk mengetahui ketahanan hidup suatu produk dalam bidang industri. Data waktu hidup dapat berupa data tersensor tipe I, tipe II dan tipe III. Dalam penelitian ini digunakan data tersensor tipe I yang merupakan suatu data waktu kematian atau kegagalan dimana semua unit uji n masuk pada waktu yang sama dan percobaan dihentikan sampai waktu tertentu. Salah satu distribusi yang dapat digunakan untuk menggambarkan waktu hidup adalah distribusi eksponensial dengan parameter l. Parameter l diestimasi dengan menggunakan metode Maximum Likelihood Estimation (MLE). Untuk mengetahui hubungan linear data kegagalan dengan intensitas kegagalan produk digunakan regresi linier. Selain itu, untuk memperkecil tingkat kegagalan yaitu dengan memprediksi kegagalannya menggunakan tingkat sigma. Nilai tingkat sigma bisa didapatkan dari DPMO (Defect Per Million Opportunity) yang berhubungan dengan MTTF (Mean Time To Failure) atau fungsi Reliabilitas. Jika nilai DPMO semakin kecil maka nilai tingkat sigma semakin besar.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI INDEKS PEMBANGUNAN MANUSIA (IPM) MENGGUNAKAN METODE REGRESI LOGISTIK ORDINAL DAN REGRESI PROBIT ORDINAL (Studi Kasus Kabupaten/Kota di Jawa Tengah Tahun 2014) Nurmalasari, Ratih; Ispriyanti, Dwi; Sudarno, Sudarno
Jurnal Gaussian Vol 6, No 1 (2017): 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 (886.236 KB) | DOI: 10.14710/j.gauss.v6i1.14774

Abstract

Human Development Index (HDI) is one of the most important indicator to observe another dimensions of human development. The HDI is a measurement for achievement levels of the quality of human development. This study analyze HDI in the Districts/Cities of Central Java in 2014. The Central Java’s HDI data is categorized as low, medium, and high. The HDI presumed to be affected by many factors, such as high school participation rates, middle school graduates percentage, percentage of household with clean water access, numbers of health facility, open unemployment rate,and labour force participation rate. This study used the ordinal logistic regression and the ordinal probit regression as its statical analysis method. The result showed that factors affecting HDI in the Districts/Cities of Central Java in 2014 are percentage of household with clean water access and numbers of health facility. To evaluate the performance of ordinal logistic regression and the ordinal probit regression, researcher uses classification accuracy and AIC. Based on reasearch classification accuracy and AIC of each methods, the result showed that both the ordinal logistic regression and the ordinal probit regression has good result in analyzing factors affecting Human Development Index in the Districts/Cities of Central Java in 2014.Keywords: HDI, Ordinal Logistic Regression, Ordinal Probit Regression, Classification Accuracy, AIC
PENENTUAN KOEFISIEN KORELASI KANONIK DAN INTERPRETASI FUNGSI KANONIK MULTIVARIAT Asbah, Muhamad Faliqul; Sudarno, Sudarno; Safitri, Diah
Jurnal Gaussian Vol 2, No 2 (2013): 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 (654.803 KB) | DOI: 10.14710/j.gauss.v2i2.2778

Abstract

Canonical correlation analysis is a useful technique to identify and quantify the linier relationships, involving multiple independent and multiple dependent variable. It focuses on the correlation between a linier combination of the variables in one set independent and a linier combination of the variables in another set dependent. The pairs of linier combinations are called canonical function, and their correlation are called canonical correlation coefficient. The statistical assumptions should be fulfilled are: linearity, multivariate normality, homoscedasticity, and nonmulticollinearity. The use of variable consists of three dependent variable: y1 =Maximum daily relative humidity,                   y2 = Minimum daily relative humidity, and y3 = Integrated area under daily humidity curve and three independent variable: x1 = Maximum daily air temperature, x2 = Minimum daily air temperature, and x3 = Integrated area under daily air temperature curve. For The result of canonical correlation analysis indicate that there are two significant canonical correlation between the daily air temperature level with the daily humidity level. The reduncancy index showed that the daily humidity level can explained a total of 69 % of the variance in the daily air temperature level, otherwise the daily air temperature level can explained a total 60 % of the variance in the daily humidity level. Interpretations involves examining the canonical function to determine the relative contibution of each of the original variables in the canonical relationships: canonical weights, canonical loadings, and canonical cross loadings showed that the sequence variables which contribute on the independent variate are x1,x3, and x2. Then, the sequence variables which contribute on the dependent variate are y1, y2, and y3.
PENERAPAN PENGENDALIAN KUALITAS JENIS VARIABEL PADA PRODUKSI MAKANAN (Studi Kasus pada Pabrik Wingko Babat Cap “Moel” Semarang) Dewiga, Pramestiara; Sudarno, Sudarno; Prahutama, Alan
Jurnal Gaussian Vol 4, No 3 (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 (859.313 KB) | DOI: 10.14710/j.gauss.v4i3.9487

Abstract

Wingko is a typical product from Semarang that growing and evolving because of the increase in tourism of Semarang City. Competition between each producer requires them to improve product quality. This study aims to minimize defective products and to monitor the distribution of the product to be worthy. Factors that are used as the benchmarks a wingko production process are the net weight and oven temperature for acceptance sampling plan. The R,  dan s control charts are used to monitor the production process and estimated capability process is used to minimize process defects. While acceptance sampling plans are used to determine the feasible product to distribute or not. Based on the analyze result that the production process is controlled after eliminating the 1st and the 28th sample number. Estimated capability process of 1.2508 indicates that it is a little defect product produced and DPMO value of 180 means that there are 180 defects per one million productions. While the acceptance sampling plan according to single specification limit either form 1 and form 2 indicates that wingko was acceptable (can be distributed). Keywords: Wingko, Net Weight, Quality Control, Capability Process
SIMULASI PENGUKURAN KETEPATAN MODEL VARIOGRAM PADA METODE ORDINARY KRIGING DENGAN TEKNIK JACKKNIFE Kusumawardani, Dewi Setya; Sudarno, Sudarno; Yasin, Hasbi
Jurnal Gaussian Vol 3, No 3 (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 (467.207 KB) | DOI: 10.14710/j.gauss.v3i3.6444

Abstract

Kriging adalah metode yang digunakan untuk mengestimasi besarnya nilai yang mewakili suatu titik yang tidak tersampel berdasarkan titik-titik tersampel yang berada disekitarnya. Pada Ordinary Kriging pendugaan suatu nilai variabel pada titik tertentu dilakukan dengan cara mengamati data yang sejenis pada daerah lain, pada setiap titik yang tidak diketahui nilainya, maka akan diestimasi dengan menggunakan kombinasi linier terboboti (weighted linier combination). Data yang dibangkitkan adalah data kandungan besi (%). Data tersebut merupakan data random hasil simulasi berdasarkan model variogram Spherical dan Eksponensial. Nilai dugaan diperoleh melalui sistem Ordinary Kriging  dengan menggunakan teknik Jackknife. Ketepatan model variogram spherical dan eksponensial dihitung berdasarkan nilai tengah kesalahan persentase absolut (Mean Absolut Percentage Error). Berdasarkan hasil perhitungan untuk variogram spherical persentase kesalahan yang diperoleh yaitu 0,0417%, sedangkan persentase kesalahan untuk model variogram eksponensial yaitu 0,0776%. Kedua nilai MAPE tersebut berada dibawah  10%, dengan demikian dapat disimpulkan bahwa teknik jackknife dapat digunakan untuk menentukan nilai dugaan dari sistem ordinary kriging dari model variogram spherical dan eksponensial.  
ANALISIS PENGENDALIAN PERSEDIAAN PRODUK OLI MENGGUNAKAN METODE ECONOMIC ORDER QUANTITY PROBABILISTIK DENGAN MODEL (q,r) (Studi Kasus di bengkel Maju Jaya Tuban) Werti, Wetty Anggun; Sudarno, Sudarno; Mukid, Moch. Abdul
Jurnal Gaussian Vol 4, No 2 (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 (411.67 KB) | DOI: 10.14710/j.gauss.v4i2.8590

Abstract

Inventory has an important role for the continuity of the trading business. In the trading business, consumer demand for the product is usually random. Consumer demand opportunities are aspects that need to be considered in the process of inventory management. Economic Order Quantity (EOQ) probabilistic model (q,r) is the method used when consumer demand is random and the time between ordering until the product comes (lead time) is not equal to zero. This research aims to apply methods EOQ probabilistic model (q,r) in determining the total cost savings in the inventories of oil products in Maju Jaya Tuban workshop. The oil products analyzed were Top 1 and Yamalube oil products. These results indicate that the method EOQ probabilistic model (q,r) has a total inventory cost less than the policy Maju Jaya Tuban workshop. Total inventory cost savings when the ordering cost (10%) and holding cost (1%) is Rp 4.313,- for Top 1 oil products and Rp 3.086,-  for Yamalube oil products.Keywords: Oil Demand, EOQ Probabilistic (q,r), Cost Savings
PENERAPAN RANCANGAN BLOK RANDOM TIDAK LENGKAP SEIMBANG PADA KOMBINASI PUPUK NANOSILIKA DAN PUPUK NPK TERHADAP PERTUMBUHAN TANAMAN JAGUNG Asismarta, Asismarta; Suparti, Suparti; Sudarno, Sudarno
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 (527.881 KB) | DOI: 10.14710/j.gauss.v5i1.10931

Abstract

Balanced Incomplete Block Design (BIBD) when all treatment comparisons are equally important, the treatment combinations used in each block should be selected in a balanced manner so that any pair of treatments occur together the same number of times as any other pair. The data used is the result a simulation of the generation of data using program packages MINITAB 16 that normal distributing with a  and  varying Based on the study of cases the combined effect fertilizer nanosil and fertilizer NPK on the growth of corn plant, tested on 6 treatment and 10 block with every treatment repeated as many as 5 times and each block unfilled 3 treatment. Assuming model that is residual the normal distribution, independence and variant homogeneous. When third this assumption be accepted then followed the effect treatment (adjusted) against an observed, when having effect and undergone a further Tukey to know treat which that differ significantly. Of treatment to be adjusted obtained with combination 25% fertilizer nanosil + 75% fertilizer NPK who gives the average the biggest contributor to the growth of plants corn.Keywords : BIBD, Tuckey test, normality, independence, equal variance
PERBANDINGAN MODEL REGRESI COX PROPORTIONAL HAZARD MENGGUNAKAN METODE BRESLOW DAN EFRON (Studi Kasus: Penderita Stroke di RSUD Tugurejo Kota Semarang) Setiani, Eri; Sudarno, Sudarno; Santoso, Rukun
Jurnal Gaussian Vol 8, No 1 (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 (560.865 KB) | DOI: 10.14710/j.gauss.v8i1.26624

Abstract

Cox proportional hazard regression is a regression model that is often used in survival analysis. Survival analysis is phrase used to describe analysis of data in the form of times from a well-defined time origin until occurrence of some particular even or end-point. In analysis survival sometimes ties are found, namely there are two or more individual that have together event. This study aims to apply Cox model on ties event using two methods, Breslow and Efron and determine factors that affect survival of stroke patients in Tugurejo Hospital Semarang. Dependent variable in this study is length of stay, then independent variables are gender, age, type of stroke, history of hypertension, systolic blood pressure, diastolic blood pressure, blood sugar levels, and BMI. The two methods give different result, Breslow has four significant variables there are type of stroke, history of hypertension, systolic blood pressure, and diastolic blood pressure, while Efron contains five significant variables such as type of stroke, history of hypertension, systolic blood pressure, diastolic blood pressure and blood sugar levels. From the smallest AIC criteria obtained the best Cox proportional hazard regression model is Efron method. Keywords: Stroke, Cox Proportional Hazard Regression model, Breslow method, Efron method.
ANALISIS ANTRIAN PASIEN RAWAT INAP BERDASARKAN SPESIALISASI PENYAKIT DI RSUP Dr KARIADI SEMARANG Rahayu, Anisa Alfiani; Sugito, Sugito; Sudarno, Sudarno
Jurnal Gaussian Vol 2, No 4 (2013): 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 (307.147 KB) | DOI: 10.14710/j.gauss.v2i4.3766

Abstract

The arrival rate of inpatients at the Dr Kariadi Hospital very much in every day, either derived from poly outpatient and the ER (emergency room). With limited bed capacity, the hospital often refer patients to the hospital inpatient others who still have bed capacity. But many patients who do not want to refer to others hospitals and they will waiting for a inpatient ward. Therefore, it is necessary to determine the queuing system model according to the conditions and characteristics of the queue service facilities in Dr Kariadi hospital based specialization disease patients. Based on the analysis of data obtained for each specialization disease models queuing system that occurs in hospital based specialties Dr Kariadi hospital disease is (M / M / c): (GD / ∞ / ∞) and the model of the queue at the payment system is (M / M / 4): (GD / ∞ / ∞). Number of inpatient services by specialist have been effective because of the amount of each disease have many specialists. As for the payment / checkout number of officers who perform duties detailed breakdown of costs need to be added so that patients who come do not wait too long to get service.
FAKTOR-FAKTOR YANG MEMPENGARUHI PERGANTIAN KANTOR AKUNTAN PUBLIK SECARA SUKARELA Lumbantobing, Yuvita Chantri; Sudarno, Sudarno
Diponegoro Journal of Accounting Volume 4, Nomor 2, Tahun 2015
Publisher : Diponegoro Journal of Accounting

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (288.492 KB)

Abstract

The  reseacrh  aims  to  knows  empirical  evidence  all  factors  influencing  auditor  switching  on company sector non finance listed in Indonesia Stock Exchange in 2008-2013 period. The determinant factors are analysized using many proxy such as CEO turnover (CEO), audit opinion (OPINI), clients size (LnTA), financial distress (DER) and company growth(∆S). The population of this research is company sector non finance which is listed in “Bursa Efek Indonesia” (BEI) during period 2008-2013. Sampling is conducted based on method which used in this research is method purposive sampling, that based in criteria has been determined research hypothesis are tested by logistic regression analytical method. Result indicates that variables which have significantly  effect to  the voluntary  auditor  switching  is  only  client size.  Variables like  CEO turnover, audit opinion, financial distress and company growth have no significant effect to voluntary auditor switching.
Co-Authors A.A. Ketut Agung Cahyawan W Abdul Hoyi Abdullah Abdullah Abu Khalid Rivai Achmad Tavip Junaedi Achmad, Nanang Suffiandi Adelia, Qaula Adi Mustiko, Vijay Adipradana, Arrizka Yanuar Agung Sugeng Widodo Agus Rusgiyono Agus Setyawan Agus Subagio Agustina, Silva Nasriati Ahmad Mustafa Akhmad, Nanang Suffiadi Al Hakim, Faris Helmi Alan Prahutama Albert, Albert Setiawan Harijanto Ali Selamat Alimina, Naslina Amirudin Amirudin Amries Rusli Tanjung Anantyo, Natanael Raka Andi Andi Angelina, Dian Anggraini, Asterina Anisa Alfiani Rahayu Arami, Hasnia Arami, Hasnia Arif Sudarmanto, Arif Ariffandita Nuri Muttaqin Arifin, Rizal Aripianti, Faridha Ariyanto Wibowo, Ariyanto Arman Pariakan Asismarta Asismarta, Asismarta Asriyana, . Aulia, Ananda Putri Aziz Nur Bambang Bambang Hermanto Budi Harsanto, Aris Budi Prasetyo Samadikun Budi Warsito Budiyono Budiyono Cahyono, Agung Dwi Dadtun, Yusana Sasanti Damayanti, Sindi Darmarastri, Hayu Adi Desriyanti, Desriyanti Dewi Kusuma Wardani Dewi Setya Kusumawardani Di Asih I Maruddani Diah Safitri Dian Kusuma Didik Purwadi Dini Octoria Djalal Er Riyanto Dua, Iyam L. Dwars Soukotta Dwi Ispriyanti Dwi Wulandari Elen Dwi Pradewi Endina Sulistiarini Erniyawati Mustaqomah, Erniyawati Eva Zulfa Fadelan Fadelan, Fadelan Fanniya Dyah Prameswari Fatan, Mohd. Adzka Ferry Hermawan Fitri Risalawati Hadiyanto Hadiyanto Hafniza Amir Halim, Rossa Fitria Hamdani Abdulgani, Hamdani Hamzah Hamzah Hanny Hafiar Hantarum, Hantarum Harahap, Malasari Hardiyanti, Nurandani Hari Suprapto Harrison, Edward Haryono S. Huboyo, Haryono S. Hasbi Yasin Hery Teguh Setiawan Hesti Sari Dewi Hosang, Djefry P Hutahuruk, Marice Br I Gusti Ngurah Antaryama Imam Buchori INDRAYANI INDRAYANI Indri Yovita Irsan, La Ode Muhammad Ita Tetriana Agustini Jatmiko Endro Suseno Johari, Norhasnidawani Joko Nugroho, Kurniawan Judisseno, Rimsky K. Kamri, Syamsul Kande, Fredrik Abia Kartika Kartika Komardi, Dadi KUNTANG WINANGUN Kurniasari, Frista Kurrohman, Taufiq Lailly, Novi Nur Leny Noviani Liem Ek Bien Liem Ek Bien Listifadah Listifadah Listyarini, Sri luhung, Putro adi Lumbantobing, Yuvita Chantri Luntungan, Frans Lusida, Terrence Timothy Evan Lutfiyah, Nanik Marice Br Hutahuruk Mei Indrawati, Mei Miftah Syarif, Miftah Miranti Marita Sari Moch. Abdul Mukid Moningka, Mario Mubarak, Fauzi Mubarak, Haykal Alya Muhamad Faliqul Asbah Muhamad, Fuad Muhammad Alhan Muhammad Fadhil Muhammad Nur Muhammad Sabandi Muhrodin, Muhrodin Muliyadi Muliyadi Mulyanto, Cicuk Munaji, Munaji Mustafid Mustafid Nicholas Renaldo Nining Ika Wahyuni Nisa, Mukrimatun Nourma Yulia, Nourma Novitasari, Artha Dewi Nugroho, Prastiyo Nugroho, Yoga Adi Nuryanto, Edi Nyoto Nyoto, Nyoto Oktaviani Ari Wardhaningrum Pangestu, Robi Etdji Pangow, Tammy T.V. Polii, Ivonne Pramesti, Ajeng Lakshita Pramestiara Dewiga, Pramestiara Prasetyo, Indra Prastya, Anggit Maulana Pratama, Angga Yoga Prayetno, Muhammad Pringgo Priyanto, Asep Priyono Priyono Priyono Priyono Priyono Purwanto Purwanto Purwati, Astri Ayu Puspita, Dewi Ayu Putri, Novita Yulia Rachmawati, Febriyani Fitri Rahayu, Winarni Rahmaddian Primasari Rahman, Sarli Raihan, Muhammad Ramadan, Bimastyaji Surya Ramadhan, Syahdan Sandhika Ramatulloh, Arya Eka Rangkang, Jeanely Ratih Nurmalasari, Ratih Redemtus Heru Tjahjana Regita, Vivian Riana Ayu Andam Pradewi Ririn Sulpiani Riskon Ginting Riyanto, Irfan Yopi Riza Fatoni Hidayat Rossi Prabowo Rukun Santoso Rupaka, Anggun Prima Gilang Salman Alfarisy Totalia Samosir, Jessika Aurora Saputra, Bagos Aji Saputra, Restu Jati Sardjono, Aryapandu Zikri Sarifah Sarifah Sariffudin, Mochammad Sarwanto Sarwanto Satriyo Adhy Selvi Marcellia Setiani, Eri Sevendy, Tandy Sirun, Artian Siswanto, Romi Slamet Wahyudi Slat, Ventje B Sri Hartini Sri Hutami Sri Sumiyati Suasti Aswan Sudenroy Mentang Sudjito Soeparman Sugito - Sugiyanto, Shabrina Mitsalina Suhardjo Suharyana Suharyana Suhendra, Muhammad Arif Sulmartiwi, L. Sunaryo Sunaryo Supariadi, Supariadi Suparti Suparti suryawan, ryan firdiansyah Susanto Susanto Sutirto, Tundjung Wahdi Suyanto Suyanto Suyono Suyono Syah, Moch. Aziz Zulian Syanne Pangemanan Syukri Fathudin Achmad Widodo Tadjudah, Muslim Takaendengan, Teddy Taman Ginting, Taman Tambunan, Johannes Tarno Tarno Taylor, John Alexander Tejakusuma, Sabrina Prabawati Titik Istirokhatun Tri Retnaningsih Soeprobowati Triastuti Wuryandari Udi Harmoko Udik Budi Wibowo Ummayah, Putri Qodar Valencia, Erica Veronica, Kristy Victoria Dwi Murti Wahyuni, Nurul Sri Wahyuningsih, Rintatik Warsana, Warsana Wawan Trisnadi Putra, Wawan Trisnadi Wetty Anggun Werti, Wetty Anggun Wicaksono, Yoga Arob Widha Sunarno Widodo, Amalia Kartika Dewi Winardi, Yoyok Wuragil Septi Wulandari Yahya Nur Ifriza Yaya Finayani Yuciana Wilandari Yundari, Yundari Yusrizal Yusrizal Yusuf, Farid