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<![CDATA[PROGRAM APLIKASI KEAMANAN CITRA DENGAN ALGORITMA DES DAN TRANSFORMASI WAVELET DISKRIT ]]>
<![CDATA[Solichin, Zaki]]>;
<![CDATA[Bayu, Surarso]]>;
<![CDATA[Sarwoko, Eko Adi]]>
<![CDATA[ MATEMATIKA Vol 15, No 1 (2012): JURNAL MATEMATIKA ]]>
Publisher : <![CDATA[MATEMATIKA ]]>
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<![CDATA[Application program security image using DES cryptographic algorithm and discrete wavelet transform is an application program that is used to secure image transmission through the Internet. Manufacturing processes are as follows, first is to make the program application for image encryption ciphertext is a program that is used to transform the initial image into the form of a compressed image using advanced discrete wavelet transform (DWT) and the Haar filter, then encrypt image transformation results with using the DES encryption algorithm specified by the encryption key, the encrypted form of information in the form of ciphertext. The second process is the process for making an application program to restore the initial image into the form ciphertext, the ciphertext decrypt the encrypted image and the particular key (the key with encryption) using DES decryption algorithm, the decrypted image, then decrypted form of the image is brought back into form initial image using inverse discrete wavelet transformation (IDWT) and reconstruction program.]]>
<![CDATA[PERANCANGAN ARSITEKTUR PEMARALELAN UNTUK MENCARI SHORTEST PATH DENGAN ALGORITMA DIJKSTRA ]]>
<![CDATA[sarwoko, Eko Adi]]>
<![CDATA[ MATEMATIKA Vol 6, No 3 (2003): Jurnal Matematika ]]>
Publisher : <![CDATA[MATEMATIKA ]]>
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<![CDATA[Perancangan arsitektur pemaralelan merupakan salah satu tahap penting dalam komputasi paralel. Tahap ini bertujuan agar kompleksitas komputasi dan komunikasi dapat efisien. Tulisan ini merupakan kajian perancangan arsitektur pemaralelan mencari Shortest Path dengan Algoritma Dijkstra. Rancangan ini ditinjau berdasarkan aspek analisis algoritma baik kompleksitas komputasi maupun komunikasi.]]>
<![CDATA[Studi Banding antara Metode Minimum Distance dan Gaussian Maximum Likelihood Sebagai Pengklasifikasi Citra Multispektral ]]>
<![CDATA[sarwoko, eko adi]]>
<![CDATA[ MATEMATIKA Vol 7, No 2 (2004): JURNAL MATEMATIKA ]]>
Publisher : <![CDATA[MATEMATIKA ]]>
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<![CDATA[Metode Minimum Distance merupakan metode sederhana (metrik jarak) yang digunakan untuk alat pengklasifikasi pada masalah pengenalan pola. Demikian pula Metode Gaussian Maximum Likelihood, informasi yang ditunjukkan metode ini cukup lengkap, karena selain rata-rata, juga memperhitungkan informasi variansi pada variable yang diukur. Tulisan ini mengkaji mekanisme dan kinerja kedua metode, yang diujikan pada data citra multispektral daerah Riau dan Jawa Tengah. Dari hasil penelitian ini, ternyata penggunaan metode Gaussian Maximum Likelihood mempunyai akurasi yang lebih baik dibandingkan metode Minimum Distance.]]>
<![CDATA[Learning Vector Quantization Pada Pengenalan Pola Tandatangan ]]>
<![CDATA[Prabowo, Anindito]]>;
<![CDATA[Sarwoko, Eko Adi]]>;
<![CDATA[Riyanto, Djalal Er]]>
<![CDATA[ JURNAL SAINS DAN MATEMATIKA Volume 14 issue 4 Year 2006 ]]>
Publisher : <![CDATA[JURNAL SAINS DAN MATEMATIKA ]]>
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<![CDATA[ABSTRAK---Pengenalan pola tandatangan dimaksudkan agar komputer dapat mengenali tandatangan dengan cara mengkonversi gambar, baik yang dicetak ataupun ditulis tangan ke dalam kode. Metode yang dipilih dalam pengenalan pola tandatangan ini adalah metode pembelajaran Kohonen Neural Network(Kohonen) dan Learning Vector Quantization(LVQ). Metode Kohonen mengambil bobot awal secara acak, kemudian bobot tersebut di-update hingga dapat mengklasifikasikan diri sejumlah kelas yang diinginkan. Pada metode LVQ bobot awal di-update dengan menggunakan pola yang sudah ada. Dalam penelitian ini, diberikan hasil pengamatan dan perbandingan tentang tingkat keakuratan dan waktu yang dibutuhkan dalam proses pembelajaran terhadap pola tandatangan pada metode Kohonen dan LVQ menggunakan bahasa pemrograman Microsoft Visual Basic 6.0 Enterprise Edition.Kata kunci: metode Kohonen, neural network, metode Learning Vector Quantization]]>
<![CDATA[Aplikasi Sistem Pakar untuk Diagnosa Penyakit Hipertiroid dengan Metode Inferensi Fuzzy Mamdani ]]>
<![CDATA[Kamsyakawuni, Ahmad]]>;
<![CDATA[Gernowo, Rachmad]]>;
<![CDATA[Sarwoko, Eko Adi]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol2iss2pp058-066
<![CDATA[Medical  diagnosis  is  a  complex  issue  that  is  influenced  by  various  factors  and  settlement  involving  all  the  capabilities  of  experts, including expert intuition owned. Diagnosis of thyroid disease is difficult,  because the symptoms of thyroid disease can vary greatly, depending  on  the  ups  and  downs  of  thyroid  hormones.  This  study  applies  an  expert  system  for  diagnosis  of  hyperthyroidism  using Mamdani fuzzy inference methods. Expert system expertise needed to gain knowledge from the experts in resolving hyperthyroidism diagnosis  while  Mamdani  fuzzy  inference  is  used  for  the  processing  of  knowledge  in  order  to  obtain  the  consequence  or  conclusion which is the result of diagnosis. The process ofMamdani fuzzy inference in this study began with the formation of fuzzy set continued with the application process implications functions, then the composition rule and ending with defuzzyfication process. An expert system for the diagnosis of hyperthyroidism that has been applied with a symptom score of the input data, the results of the blood t ests TSHs level and FT4 levels, output data in the form of diagnosis, the diagnosis has been successfully  for tested the input data, with an accuracy of 95.45%.Keywords: Expert systems; Fuzzy inference Mamdani; Hyperthyroidism]]>
<![CDATA[Sistem Informasi untuk Transaksi dan Analisis Inventori ]]>
<![CDATA[Damayanti, Cynthia]]>;
<![CDATA[Mustafid, Mustafid]]>;
<![CDATA[Sarwoko, Eko Adi]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 1 (2011): Volume 1 Nomor 1 Tahun 2011 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol1iss1pp9-15
<![CDATA[This research aim to developed an inventory information system which integrated convensional data records with an analysis system based on inventory theories to answer questions about supplying stock, i.e. the latest inventory counts, prediction of future sales, when to order supply and how much to order these supply. In this research, purchasing and selling data records that usually seperated, had been integrated into an inventory database so up to date inventory list can be shown at demand. Furthermore, with data of past time sales, system will predict future sales using Least Square Linear Regretion method and Moving Average method. Inventory analysis will determine the Economic Order Quantity and Reorder Cycles for single item and multi item. An early warning also will notify user when an item reach the reorder point. This information system software that can be used to answer similar inventory problems in retail or warehouse company. As addition, research shown that sales with increasing/decreasing pattern had a more accurate prediction using Linear Regretion, while Moving Averages are better for stable sales. Research also shown multi items order collectively for the same supplyer more cost beneficial rather than single item orders.]]>
<![CDATA[Sistem Informasi Penyebaran Penyakit Demam Berdarah Menggunakan Metode Jaringan Syaraf Tiruan Backpropagation ]]>
<![CDATA[Supriyadi, Didi]]>;
<![CDATA[Adi, Kusworo]]>;
<![CDATA[Sarwoko, Eko Adi]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 3 (2011): Volume 1 Nomor 3 Tahun 2011 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol1iss3pp159-167
<![CDATA[Dengue  disease  is  a  major  health  problem  and  endemic  in  several  countries  including  Indonesia.  Indonesia  is  included  in  the  category  "A"  in  the stratification of DHF by WHO in 2001 which indicates the high rate of treatment in hospital and deaths from dengue. The purpose of this study was to investigate the ability of artificial neural networks Backpropagation method for information of the spread of dengue fever in  a region. In this study uses six input variables which are environmental factors that influence the spread of dengue fever, include average temperature  -  average, rainfall, number of rainy days, the population density, sea surface height, and the percentage of larvae-free number for  which data is sourced from BMKG, BPS and the Public Health Service. Network architecture applied to a multilayer network that uses an input with 6 neurons, one hidden lay er and an output with the output neuron is one. From the results obtained by training  the best network architecture is the number one hidden layer with the number of neurons obtained a total of 110 neurons and also the system can recognize the entire training data. The best training algorithm using  a variable learning rate and momentum of 0.9 by 0.6 by the end of the training MSE 0.000999879. in the process of testing using test data obtained 17 tissue levels of  approximately 88.23% accuracy. Therefore we can conclude that the network is implemented in this study when subjected to the test  data other then the error rate of about 11.77%.Keywords : Artificial Neural Networks; Backpropagation; Dengue fever]]>
<![CDATA[istem Informasi Pendapatan Asli Daerah Pada Dinas Pendapatan Kabupaten Sangihe ]]>
<![CDATA[Papuas, Alfrianus]]>;
<![CDATA[Mustafid, Mustafid]]>;
<![CDATA[Sarwoko, Eko Adi]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 2 (2011): Volume 1 Nomor 2 Tahun 2011 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol1iss2pp59-63
<![CDATA[Regional revenue  management requires information systems to  manage the revenue income, report  preparation and evaluation of  the effectiveness and efficiency of information technology-based revenue. This information system Debgan financial statements can be well presented, accurate, timely, and can be used directly by the user. The purpose of this research is to design and build information systems revenue (SIPAD) with the evaluation system, the applicability to the District Revenue Office Sangihe. Revenue consists of loc al taxes, fees, the company's results and the results of the other receipts or PAD. For the evaluation process , we evaluated the effectiveness and efficiency  in  order  to  measure  the  performance  of  the  management  of  PAD.  System  modeling  is  used  Unified  Modeling  Language (UML) as a standard modeling language. Information systems revenues also used to improve the per formance of local governments to manage the process of receiving PAD, and to present a report to evaluate the effectiveness and efficiency of the management of PAD. Calculation of effectiveness evaluation PAD Sangihe regency in 2011 obtained an effective criterion of 83.16 percent and an efficiency of 2.92 percent.Keywords: Information systems revenue; Revenue; Evaluation of the effectiveness and efficiency]]>
<![CDATA[Sistem Aplikasi Penyelesaian Masalah Program Linier Standar Maksimal Berbasis Web dengan Keluaran Sesuai Produk Kemasan terkecil ]]>
<![CDATA[Sriwasito, Putut]]>;
<![CDATA[Surarso, Bayu]]>;
<![CDATA[Sarwoko, Eko Adi]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 2 (2011): Volume 1 Nomor 2 Tahun 2011 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol1iss2pp99-107
<![CDATA[Individual or cooperation  as the producer who produces more than one product always has a problem to determine the amount of each product, as well as the smallest packaging used to generate the maximum revenue but still meet the inventory of existing facilities. If the inventory of facilities and functions form a linear function of income then the problem is called the program a maximu m linear case, where all supplies are  limited means of the standard linear program is called maximal. Although the system has available a linear program to solve the problem,  the system is only owned by a limited circle, this system also  does not provide the smallest packaging option.  In general linear programming problem is solved by the simplex method with any number of real output in decimal or fractional format  mix.  Settlement  is  not  operational  because  the  manufacturers  do  not  always  able  to  make  the  smallest  product  packaging  in accordance with the unit on completion, to become operational, the results of this settlement may be rounded according to the smallest package selected. The problem of limited manufactures which have a system of linear program application can be overcome by providing a system similar to a web-based applications. This study compiled a web-based application system to solve a standard linear program that generates the maximum revenue that maximum use PHP software, data entered through the form and then taken by the POST method, then set up a matrix, carried out by iterating between the rows in the matrix operations that met the criteria optimal. By ch oosing the smallest packaging  which is used  0.25 units or 0.50  units, the system  check the number of products that  have  the smallest rounding according to the package selected, then the system prepare and present the inventory and revenue report.Keywords: Simplex metho; The smallest packaging; Web-based]]>
<![CDATA[AKURASI MODEL PREDIKSI METODE BACKPROPAGATION MENGGUNAKAN KOMBINASI HIDDEN NEURON DENGAN ALPHA ]]>
<![CDATA[Widodo, Aris Puji]]>;
<![CDATA[Suhartono, Suhartono]]>;
<![CDATA[Sarwoko, Eko Adi]]>;
<![CDATA[Firdaus, Zulfia]]>
<![CDATA[ MATEMATIKA Vol 20, No 2 (2017): JURNAL MATEMATIKA ]]>
Publisher : <![CDATA[MATEMATIKA ]]>
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<![CDATA[Permasalahan yang banyak terjadi pada Perusahaan Daerah Air Minum (PDAM) adalah mengenai ketersediaan produksi air bersih untuk dapat memenuhi kebutuhan pelanggan secara baik. Permasalahan ini terjadi diantaranya diakibatkan dengan adanya peningkatan jumlah pelanggan yang mengakibatkan permintaan akan air bersih juga  meningkat, dan faktor kehilangan air, sehingga pendistribusian air tidak berjalan dengan baik. Oleh karena itu diperlukan sebuah kajian sebagai pertimbangan untuk memberikan solusi mengenai prediksi produksi air bersih di PDAM. Studi kasus yang digunakan pada penelitian adalah PDAM Purwa Tirta Dharma Kabupaten Grobogan. Penelitian ini menggunakan metode Jaringan Syaraf Tiruan Backpropagation. Data PDAM yang digunakan adalah meliputi data faktor-faktor yang mempengaruhi pada produksi air bersih, diantaranya jumlah pelanggan, jumlah air terjual, jumlah kehilangan air dan jumlah debit sumber air. Penelitian ini menggunakan data laporan bulanan 5 tahun terakhir (Januari 2011 s/d Desember 2015). Data yang digunakan dibagi menjadi 2, yaitu 70% untuk pelatihan dan 30% untuk pengujian. Jaringan terbaik diambil dari nilai Mean Square Error (MSE) pelatihan dan pengujian yang terkecil. Eksperimen yang dilakukan pada penelitian ini menggunakan scenario dengan cara melakukan kombinasi antara hidden neuron dengan alpha. Hasil eksperimen yang telah dilakukan, maka diperoleh nilai MSE pelatihan rata-rata sebesar 0,009538, MSE pengujian rata-rata sebesar 0,050373, dan nilai akurasinya sebesar 95,93%.]]>
