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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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (717.229 KB) | DOI: 10.14710/j.gauss.v5i3.14697

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (678.342 KB) | DOI: 10.14710/j.gauss.v5i4.14730

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (311.541 KB) | DOI: 10.14710/j.gauss.v3i3.6450

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (400.958 KB) | DOI: 10.14710/j.gauss.v4i3.9550

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (567.509 KB) | DOI: 10.14710/j.gauss.v6i1.14773

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (765.781 KB) | DOI: 10.14710/j.gauss.v4i3.9429

Abstract

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).
PERBANDINGAN PENDEKATAN GENERALIZED EXTREME VALUE DAN GENERALIZED PARETO DISTRIBUTION UNTUK PERHITUNGAN VALUE AT RISK PADA PORTOFOLIO SAHAM Ayu Ambarsari; Sudarno Sudarno; Tarno Tarno
Jurnal Gaussian Vol 5, No 3 (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 (662.495 KB) | DOI: 10.14710/j.gauss.v5i3.14692

Abstract

Stock is one of investments that used by investor but often have high risk. So we need to calculate risk assessment for single stock and portfolios. Value at Risk  (VaR) is a tool often used in measuring risk, especially in stock trading. Return stock usually has a fat tail distribution, there is usually a case of  heteroscedasticity. Time series model that used to modeling this condition is Autoregressive Conditional Heteroscedasticity / Generalized Autoregressive Conditional Heteroscedasticity. This study focused on the calculation of VaR using Block Maxima with the approach Generalized Extreme Value/GEV and Peaks Over Threshold approach Generalized Pareto Distribution/GPD. Modeling volatility models of GARCH. Share data used  in the case study is a daily closing PT. Astra International and Panin Financial period January 1st, 2010 – January 22nd,  2016. The result is ARIMA(0,1,1) GARCH(1,2) which is the best model with the smallest AIC. The amount of risk with a confidence level of 95% by GEV is 3,1613%, while the GPD is 3,2761% rupiah from current asset, in other words VaR GPD higher better than GEV.Keywords: Portfolio, Return, Value at Risk (VaR), ARCH/GARCH, Block Maxima, Peaks Over Threshold, GEV, GPD.
PENGARUH KEPEMILIKAN MANAJERIAL, KEPEMILIKAN INSTITUSIONAL, DAN KEPEMILIKAN ASING TERHADAP PRAKTIK PENGUNGKAPAN SUSTAINABILITY REPORT Adimulya Nurrahman; Sudarno Sudarno
Diponegoro Journal of Accounting Volume 2, Nomor 1, Tahun 2013
Publisher : Diponegoro Journal of Accounting

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.293 KB)

Abstract

This study aims to empirically analyze the effect of ownership in a company that consists of managerial ownership (MANJ), institutional ownership (INST), and foreign ownership (FOREIGN) the disclosure practices of corporate sustainability report. Sustainability Report (SR) is the dependent variable in this study were measured by a dummy variable that consists of companies that disclose and not disclose SR. The independent variables were studied including the percentage of managerial ownership, the percentage of institutional Ownership and Foreign Ownership percentages. This study also uses the control variables, the size of the company. Data from this study were obtained from the financial statements and annual report of manufacturing firms drawn from the Indonesia Stock Exchange. The population in this study are all companies listed in the Indonesia Stock Exchange (BEI), with the exception of companies - companies that are included in the category of banking, credit agencies other than banks, securities and insurance during the period from 2007 to 2011 as many as 98 companies that do not express SR and 98 companies that expressed SR. Sampling method contol case. The type of data used are secondary data in the form of annual reports by the media companies. Data analysis tools used were Multivariate Analysis wait SPSS computer program. The results of this study indicate that institutional ownership (INST) and foreign ownership (FOREIGN) positive effect on disclosure of corporate sustainability report, but managerial ownership (MANJ) had no effect on the disclosure of corporate sustainability report.
PENENTUAN HARGA POKOK PRODUKSI PERCETAKAN SABLON “OTAKKANAN production” di Yogyakarta Ilham Ilham; Sudarno Sudarno
Diponegoro Journal of Accounting Volume 2, Nomor 2, Tahun 2013
Publisher : Diponegoro Journal of Accounting

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (385.782 KB)

Abstract

Small and Medium Enterprises is an industry that departs from the family or the home-based industry. Small and Medium Enterprises can be seen as a safety valve in the process of economic recovery, it is based on the role of Small and Medium Enterprises as the monetary crisis in 1998. Despite that Small and Medium Enterprises are still faced with the problem of Small and Medium Enterprises in the administrative process itself.One issue that arises is the report on the costs that determine the cost of production. According to one survey of Small and Medium Enterprises in Yogyakarta, which is engaged in printing services printing "OTAKKANAN production, Small and Medium Enterprises only records incoming and outgoing expenses are simple (just a reminder) and does not consider the economic life of the fixed assets owned businesses.By set "OTAKKANAN production" as an object of study, this research seeks to apply the appropriate calculation of Cost of Production accepted accounting guide, the company and compare with calculations applied Cost of Production "OTAKKANAN production" itself.
PENGARUH PENYELARASAN STRATEGIK TERHADAP KINERJA ORGANISASI ( Studi Empiris pada Rumah Sakit dan Klinik di Pangkalan Bun, Kalimantan Tengah ) Putu Handoko Murti; Sudarno Sudarno
Diponegoro Journal of Accounting Volume 3, Nomor 3, Tahun 2014
Publisher : Diponegoro Journal of Accounting

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (314.413 KB)

Abstract

This study aims to examine the effect of strategic alignment on organizational performance at Pangkalan Bun’s hospital and clinics, Central Kalimantan. The performance of an organization is a factor that determines how the existence and competitiveness of an enterprise. Good performance of the organization is an organization which capable of aligning business strategy and  IS/IT strategy. Using survey data from middle management and top management with data collection of responder by post. The analytical tool is used Partial Least Square based on Structural Equational Modelling And SmartPLS software. Result of this research is that the organization's performance is influenced by strategic alignment, business strategy and IS/IT strategy. Meanwhile strategic alignment is influenced by business strategy and IS/IT strategy. Thereby can be concluded that organizational performance is still affected by the alignment between business strategy and IS/IT strategy.
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