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All Journal Jurnal Ilmu Lingkungan SIGMA EPSILON - Majalah Ilmiah Teknologi Keselamatan Nuklir Jurnal Teknik Lingkungan Jurnal Gaussian Diponegoro Journal of Accounting Jurnal Pendidikan Ekonomi (JUPE) Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Online Mahasiswa (JOM) Bidang Pertanian JURNAL AKUNTANSI UNIVERSITAS JEMBER Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil BISE: Jurnal Pendidikan Bisnis dan Ekonomi INKUIRI : Jurnal Pendidikan IPA Reviews in Civil Engineering Seminar Nasional Lahan Suboptimal Aksara: Jurnal Ilmu Pendidikan Nonformal Agroekotek View Jurnal Pengabdian Masyarakat Multidisiplin Inobis: Jurnal Inovasi Bisnis dan Manajemen Indonesia Journal of Marine and Coastal Science Jurnal Teknik Sipil Terapan JURNAL UMBANUA Jurnal Pengabdian pada Masyarakat Jurnal Bisnis Event Prosiding Seminar Nasional Unimus

Sudarno Sudarno

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Author-ID : 387715

Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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ANALISIS HUBUNGAN FAKTOR FAKTOR YANG MEMPENGARUHI PREDIKAT PERUSAHAAN ASURANSI UMUM DI INDONESIA PERIODE DESEMBER 2013 – NOVEMBER 2014 Tri Retnaning Nur Amanah; Tatik Widiharih; Sudarno Sudarno
Jurnal Gaussian Vol 5, No 3 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Human life often faces an uncertain situation and risks. In reducing uncertainty, human can protect themselves by choosing an insurance company. One that can be considered in the selection of protection is to observe the predicate of the insurance company. Predicate of general insurance company in Indonesia period December 2013 to November 2014, issued by the research institute Info bank categorized into 4 (four), there are very good, good, good enough and not good. Rating of predicate using factors commonly used to observe the financial performance. Those factors are the Risk Based Capital, the growth of gross premium income, the load (claims, efforts, and commissions) to net premium income, the net income (loss) before taxes compared to averages of equity, the net income (loss) comprehensive compared with the average of equity capital, the liquidity, sufficiency investments and current assets to total assets, the growth of their own capital, their own premium retention on their own capital, the underwriting results compared with net premium, the balance on investment with net premium income, investment of current assets to total assets. This study aims to determine the factors that are supposed to influence the predicate of insurance using ordinal logistic regression. Results of the analysis showed that the growth in gross premium income and load (claims, efforts, and commissions) to net premium income have significant effect (α = 5%) to predicate of insurance.Keywords: ordinal logistic, gross premium, the load to net premium, predicate of insurance.

PENGONTROLAN KUALITAS PRODUK MENGGUNAKAN METODE DIAGRAM KONTROL MULTIVARIAT np (Mnp) DALAM USAHA PENINGKATAN KUALITAS (Studi Kasus di PT Coca-Cola Amatil Indonesia (CCAI) Semarang) Nonik Brilliana Primastuti; Sudarno Sudarno; Suparti Suparti
Jurnal Gaussian Vol 3, No 1 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The industrial revolution was mark the beginning of the rise of industrial in the world. Moreover, in this globalization era, a lot of industry popping up especially those industries in Indonesia with many of those industries would emerge also thight competition. Each company must be trying to superior to that of its products so that each company will always improve the quality of their products in various ways so that the product can deportment in the market. One way of improving the quality of by doing quality control on each of its products. There are many method of conducting control quality. One method used is multivariate np chart. Multivariate np chart usually used for nonconforming units. Based on the results of this research, it is found that the production process in phase I namely from January to February in a state of controlled so that the parameters in the production process phase I can be used in the production process phase II, while to the process of the production phase II there are several observations that are out-of-control so that the production phase II in a state of uncontrolled.

PERBANDINGAN ANALISIS FAKTOR KLASIK DAN ANALISIS FAKTOR ROBUST UNTUK DATA INFLASI KELOMPOK BAHAN MAKANAN DI JAWA TENGAH Erna Puspitasari; Moch. Abdul Mukid; Sudarno Sudarno
Jurnal Gaussian Vol 3, No 3 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Factor analysis is a statistical method used to describe a set of variables based on common dimensions. Factor analysis that is often used is the classical factor analysis with principal components method. Classical factor analysis can not work properly if the data contained many outliers. In order factor analysis remains optimal in explaining a set of variables even in conditions of data containing many outliers, we need a robust estimator. Through factor analysis is expected to obtain robust high accuracy analysis results for data containing many outliers. Estimator fast-MCD is one of the robust estimator that aims to get the smallest determinant of the covariance matrix. Robust factor analysis with fast-MCD method in this thesis is applied to explain the many subgroups of food at food inflation rate in Central Java into a more modest dimensions. The total proportion of the data variance can be explained by factors that are formed through a robust method of factor analysis in foodstuffs inflation data in Central Java that is equal to 72.9 percent larger than the classical factor analysis method which generates at 53.5 percent. This suggests that a more robust factor analysis method is able to cope with food inflation data in Central Java group containing outliers of the classical factor analysis method.

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.

PROBABILISTIC NEURAL NETWORK BERBASIS GUI MATLAB UNTUK KLASIFIKASI DATA REKAM MEDIS (Studi Kasus Penyakit Diabetes Melitus di Balai Kesehatan Kementerian Peridustrian Jakarta) Johan Adi Wicaksana; Hasbi Yasin; Sudarno Sudarno
Jurnal Gaussian Vol 5, No 3 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Neural Network (NN) system is an information-processing that has characteristics similar to the neural network in living beings. A model of Neural Network is used for classification is Probabilistic Neural Network (PNN). PNN structured by four layers, the input layer, layer pattern, the summation layer and output layer. One of classification problems that can be solved by PNN is a classification of Diabetes Mellitus’s status. Diabetes mellitus is a chronic disease that occurs either when the pancreas does not produce enough insulin or when the body cannot effectively use the insulin produced. To facilitate the classification of diabetes mellitus, it is used a software-based Graphical User Interface (GUI) of Matlab to build a software of PNN. GUI that is formed can do PNN classification and predict the status of one’s Diabetes Mellitus. PNN structure that is formed resulting the highest accuracy 0.9143548 on the training process and 0.919512 on the testing process obtained by the percentage of training data than testing data by 90%:10% with holdout accuracy evaluation method, and a smoothing value of 1. This classification resulting 23 patients were classified as negative diabetes and 18 patients were classified as positive diabetes.Keywords: Neural Network, Probabilistics Neural Network, diabetes mellitus, GUI, holdout, smoothing parameter.

PERAMALAN DAYA LISTRIK BERDASARKAN JUMLAH PELANGGAN PLN MENGGUNAKAN MODEL FUNGSI TRANSFER DENGAN OUTLIER (Studi Kasus di PT PLN (Persero) Rayon Semarang Selatan) Retza Bahtiar Anugrah; Sudarno Sudarno; Budi Warsito
Jurnal Gaussian Vol 5, No 4 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Electrical energy is one of the components of Gross Domestic Product which able to stimulate the economic matter because it has been becoming a primary needs in the society. In order to meet the growing electrical energy, State-Owned Enterprises (SOEs) need to develop systems and proper planning. It needs a forecasting of electric power based on customer to meet a sufficient electricity supply. This study aims to predict the electrical power by electric customers using transfer function model with outliers. The use of transfer function model is intended to determine the role of power users that have an impact on the electric power. One of the stages of modeling the transfer function is to set the order of the transfer function parameters, they are b, r, and s. And by modeling the outlier is useful to eliminate the effect of outliers itself. The analysis and discussion show that based on the AIC value, the best model is the transfer function model by weighting the impulse response of the parameter that is ω_0 = 55,55652 and the noise series model of the transfer function is ARIMA (1,0,1) with 8 outliers. The details of the outliers consist of one Additive Outliers type in the 33rd and seven Level Shift Outliers in the 14th, 31st, 9th, 10th, 21st, 22nd and 58th. Size forecasting accuracy using MAPE value 19.77%. Keywords: Transfer function, outliers, ARIMA, electrical power, AIC, MAPE

ANALISIS CONJOINT PAIRWISE-COMPARISON UNTUK MENGETAHUI TINGKAT KEPENTINGAN ATRIBUT JASA BIRO PERJALANAN WISATA (Studi Kasus Beberapa SMA Negeri di Kabupaten Klaten) Galih Maraseta W H Prasaja; Yuciana Wilandari; Sudarno Sudarno
Jurnal Gaussian Vol 3, No 3 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Competition in the business world travel agency today's increasingly stringent. Travel agency is a business that organizes tourist activities and other services related to the operation of the tour both domestically and abroad in a foreign country. To help business people of the travel agency in knowing and understanding consumer preferences on a combination of attributes of a travel agency conjoint analysis can be used. In this study conjoint analysis is used by using presentation method of pairwise-comparison. There are four attributes used in this analysis, they are bus facilities, agency facilities, hotel, and dining facilities. From the results of the analysis that obtained by the respondents, the most important attribute in selecting a travel agency is the dining attribute with a relative importance value of 38,02%. The next most important attribute according to the respondents is the attribute of the bus facility with a relative importance value of 28,46%, attributes agency facilities with a relative importance value of 19,58%, attributes the hotel facilities with a relative importance value of 13,94%. The combination of desired respondents in choosing or use the services of a travel agency is a travel agency with wifi bus facilities, hotel facilities with the large bed, an agency facility of video documentation and a buffet meal.

PENERAPAN REGRESI LINIER MULTIVARIAT PADA DISTRIBUSI UJIAN NASIONAL 2014 (Pada Studi Kasus Nilai Ujian Nasional 2014 SMP Negeri 1 Sayung) Vica Nurani; Sudarno Sudarno; Rita Rahmawati
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

National Exam is a measurement and assessment activities accession of national competency standards on specific subjects as well as a requirement that a student continue to pursue higher education. If we want to know the relationship between national exam score and semester score using multivariate linear regression analysis. Multivariate linear regression is the linear regression model with more than one response variables Y correlated and one or more predictor variables X. In the multivariate linear regression analysis, model selection is the important thing. This is because the selection of the best models in the multivariate linear regression analysis depends on the number of predictor variables involved in the model. The purpose of this study was to determine the best model in the multivariate linear regression analysis using the criteria of Mean Square Error (MSE). The result showed using MSE criterion obtained the best model with the smallest MSE value for 17424540. The best model obtained consists of six predictor variables and four response variables. The effect from response to predictor is 74,512%. Keywords : National Exam, Multivariate Linear Regression, MSE Criterion, Best Model.National Exam is a measurement and assessment activities accession of national competency standards on specific subjects as well as a requirement that a student continue to pursue higher education. If we want to know the relationship between national exam score and semester score using multivariate linear regression analysis. Multivariate linear regression is the linear regression model with more than one response variables Y correlated and one or more predictor variables X. In the multivariate linear regression analysis, model selection is the important thing. This is because the selection of the best models in the multivariate linear regression analysis depends on the number of predictor variables involved in the model. The purpose of this study was to determine the best model in the multivariate linear regression analysis using the criteria of Mean Square Error (MSE). The result showed using MSE criterion obtained the best model with the smallest MSE value for 17424540. The best model obtained consists of six predictor variables and four response variables. The effect from response to predictor is 74,512%. Keywords : National Exam, Multivariate Linear Regression, MSE Criterion, Best Model.

PERAMALAN LAJU INFLASI, SUKU BUNGA INDONESIA DAN INDEKS HARGA SAHAM GABUNGAN MENGGUNAKAN METODE VECTOR AUTOREGRESSIVE (VAR) Priska Rialita Hardani; Abdul Hoyyi; Sudarno Sudarno
Jurnal Gaussian Vol 6, No 1 (2017): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Inflation, Bi Rate (SBI) and the composite stock price index (IHSG) is an economic instrument and often seen as divorce progression of the economic progress of a country. Inflation, Bi Rate and IHSG is a multivariate time series that show activity for a certain period. One method to analyze multivariate time series is Vector Autoregressive (VAR). VAR method is a simultaneous equation model has several endogeneous variables. This research uses secondary data of inflation, SBI and IHSG on period January to June 2016. The VAR model acquired is a model VAR(4), with parameters estimated using the Ordinary Least Square (OLS). The selection model VAR(4) is based on the smallest value of AIC 4,255482 with value of MAPE is 47,11%. Keywords: Inflation, SBI, IHSG, Time Series Multivariate, Forecasting, Vector Autoregressive (VAR).

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 Achmad Tavip Junaedi Ade Lenty Hoya Adimulya Nurrahman Aditya Eka Laksana Adiwirman Adiwirman Afianti Sonya Kurniasari Agung Santoso Agus Sudrajat Ahmad Reza Aditya Ajeng Arum Sari Alan Prahutama Aldila Khairina Sissandhy Alfita Rakhmayani Amin Nursudi Aminuddin Aminuddin Anak Agung Istri Sri Wiadnyani Angga Saputra Desti Anik Waryanti Anissa Pangastuti Anya Amabell Syukuri Arifah Wulansari Ariffandita Nuri Muttaqin Ashri Febrina Rahmasari Atika Elsadining Tyas Avida Anugraheni Avida Nugraheni C. Ayu Ambarsari bagus aji Bambang Wasito Adi Bayu Ariawan Bayyina Zidni Falah Boedi Setya Rahardja Budi Warsito Chiarakania Chaniago Cut Nur Aisyah Darari Rahma Lalita Dedy Haryanto Despriyanti Despriyanti diah novitasari Diah Safitri Dian Ika Pratiwi Dita Oktavia Ningrum Dwi Ispriyansti Dwi Ispriyanti Dwi Safrudin Dwi Siwi Handayani Eka Triakuntini Endang Dewi Masithah Endro Sutrisno Erna Puspitasari evelyn wijaya Farid Abdu Salam Fathimatuzzahra Syahrozad Nuroqi Fatkhan Arissetya Febriane Paulina Makalew Feri Setyowibowo Fifi Puspita Fuad Muhammad Galih Maraseta W H Prasaja Galuh Ayu Prameshti Gusti Rusmayadi Harini Harini Hasbi Yasin Hasmuri Hasmuri Huriyah Huriyah Ibnu Athoillah Irawan Wisnu Wardhana Johan Adi Wicaksana Joko Purnomo Julidian Julidian Julius E. Tenda Junaidi Junaidi Khalida Hanum Khersna Bayu Sangka Khresna Bayu Sangka Kikis Dinar Yuliesti Kristiani Kristiani Kussigit Santosa Lintang Afdianti Nurkhasanah Lulut Fadhilah Lundu Bontor Sihite Luthfi Rachma Dita M. Husni Arifin Maidiah Dwi Naruri Saida Malik Hakam Maluw, Fandel Mamuroh Mamuroh Mardison Purba Mario Moningka Martha Ng Mintasih Indriayu Mintasih Indriayu Moch. Abdul Mukid Mohammad Al Hazmi Mohammad Rama Fadillah Soeroso Muhammad Amin Muhammad Fachri Maulana Mustafid Mustafid Nailatis Shofia Nany Yuliastuti Nesvi Intan Oktajayanti Nonik Brilliana Primastuti Nourma Yulia Nova Yanti Gultom Novi Melawati Nur Aeniatus Solekakh Nur Musrifah Rohmaningsih Pradana Sahid Akbar Pranata Anggakara Priska Rialita Hardani Putu Handoko Murti Putu Jaya Permana Qomaruddin, Mochammad Ramdhan Febrianto Rangkang, Jeanely Retza Bahtiar Anugrah Ridha Ramandhani Ririn Khoiriyah Rita Rahmawati Rizka Asri Brilliani Rizky Ade Putranto Rukun Santoso Rumbayan, Rilya S. Suripin Salman Alfarisy Totalia Sandy Kristiara Sarwanto Sarwanto Satrio Adi Wibowo Sekar Niken Kartika Sheny Nurul Aini Shofiyatul Afidah Sholikhah Septiarti Khusnul Wardatus SITI NURLATIFAH Slamet Effendy Yusuf Sudenroy Mentang Sugito Sugito Suhardjo Suhardjo Sukrismiati Sukrismiati Sulton Syafii Katijaya Sunarto Sunarto Suparti Suparti Supriyanto Supriyanto Sutrisno Anggoro Syanne Pangemanan Tampanatu P. F. Sompie Tarina Rahmayani Tarno Tarno Tatik Widiharih Taufan Fahmi Taufik Dani Testian Yushli Ana Tiani Wahyu Utami Titin Nurfiatin Tri Retnaning Nur Amanah Triastuti Wuryandari Veronika Ellyana Vica Nurani Wahyu Nugraha Widha Sunarno WINARTI WINARTI Winda Rosiana Pratiwi Wulan Merdeka Sari Yanuar Luqman Yovina Mulyadi Yuciana Wilandari

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