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All Journal Media Statistika MATEMATIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS Jurnal Ilmiah Dinamika Rekayasa (DINAREK) E-Dimas: Jurnal Pengabdian kepada Masyarakat Informatika Pertanian Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Martabe : Jurnal Pengabdian Kepada Masyarakat JISKa (Jurnal Informatika Sunan Kalijaga) Indonesian Journal of Electrical Engineering and Computer Science JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia)
Eko Adi Sarwoko
Departemen Ilmu Komputer/Informatika Fakultas Sains Dan Matematika Universitas Diponegoro
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Public Health Social Sciences

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ANALISIS PENGARUH KARAKTERISTIK WILAYAH (KELURAHAN) TERHADAP BANYAKNYA KASUS DEMAM BERDARAH DENGUE (DBD) DI KOTA SEMARANG Rahmawati, Rita; Kartono, Kartono; Sulistyo, Robertus Heri; Noranita, Betha; Sarwoko, Eko Adi; Wardaya, Asep Yoyo
MEDIA STATISTIKA Vol 5, No 2 (2012): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (251.452 KB) | DOI: 10.14710/medstat.5.2.87-93

Abstract

DBD still become one of the major problems of public health in Indonesia because the death rate tended sufferers to increase from year to year. Incredible happening (KLB) of DBD which was initially occurring every five years, now it’s getting often happens. In the city of Semarang, during 2009 occurring 165 times KLB in urban village, 35 times KLB in the level of community health centers and 15 times KLB at the district level. Though the number of DBD cases in 2009 from 2008 was declining, but in this year also noted that the number of deaths resulting from DBD increased to 43 people from 18 people in 2008. This research aims to analyze the characteristics of the neighborhood (whose data is always updated by BPS via PODES) that affect the number of cases of DBD (whose data is always updated by DKK) in Semarang city, by creating the best regression models using stepwise technique. Regression model analysis of results obtained best is Y = 23.029 + 0.004 X1 – 0.074 X2 + 0.070X3, where Y is IR/10000 PDDK, that is the number of residents affected by DBD for each 10000 inhabitants, X1 is the number of residents aged 15-24 years, X2 is total area of land of rice fields and X3 is area of land for buildings and grounds around the page. Keywords: DBD, Characteristics of the Neighborhood, Regression, Stepwise
WATERMARKING PADA BEBERAPA KELUARGA WAVELET Sugiharto, Aris; Sarwoko, Eko Adi
MATEMATIKA Vol 7, No 3 (2004): JURNAL MATEMATIKA
Publisher : MATEMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (348.504 KB)

Abstract

Teknik Watermarking banyak digunakan untuk melindungi data digital dari upaya pembajakan dalam bentuk penggandaan secara illegal. Banyak metode yang sudah dikembangkan baik dalam domain spasial, frekuensi maupun domain wavelet. Dalam tulisan ini sistem watermarking yang dibahas adalah domain wavelet dengan menggunakan transformasi wavelet diskrit (discrete wavelet transform) yang diujikan pada beberapa keluarga wavelet dengan menggunakan faktor skala yang berbeda. Kata kunci : watermarking, wavelet, skala
PENGENALAN POLA IRIS MATA MENGGUNAKAN METODE TEMPLATE MATCHING DENGAN LIBRARY OPENCV Afrizal, Sahid Nur; Sarwoko, Eko Adi
MATEMATIKA Vol 19, No 2 (2016): Jurnal Matematika
Publisher : MATEMATIKA

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Abstract

Biometrics is a technology that used on computer systems in the introduction of a person using a part of the human body. One part of the body that can be used in biometric systems are human iris, due to the nature of the iris of the eye that will not change and is unique among person with another person. One application of biometrics using human iris is on the smartphone. The system was built using OpenCV as the main library. Proposed recognition system was divided into two stages, there was iris recognition stage and iris matching stage. Recognition stage began with taking the image, and then do the pre-processing stage which consists of scaling operations to a smaller size and grayscaling, then proceed to the segmentation stage, using Canny edge detection method, circle Hough transform method for detecting circle of the iris and the pupil, and Daugman's rubber sheet models for normalization, then proceed to the feature extraction stage using Gabor Filter and Average Absolute Deviation. Matching phase was made using euclidean distance method to measure the similarity distance between two iris features. Tests carried out with 10 eye images, each of which 5 left and right eye images are derived from the research subjects. The results of this study concluded that the optimal threshold for this system was 475 with a percentage of 36% False Reject Rate, False Acceptance Rate 40%, 38% system error ratio, and the Genuine Acceptance Rate 64%.
FUZZY MODEL BASED SOLVING NONLINEAR SYSTEMS WITH CASE STUDY OF TRUCK-TRAILER SYSTEM sasongko, priyo Sidik; indriyati, Indriyati; sarwoko, Eko adi
MATEMATIKA Vol 12, No 2 (2009): JURNAL MATEMATIKA
Publisher : MATEMATIKA

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Abstract

 In this paper, we consider the fuzzy controller problem for nonlinear system using fuzzy models. The controller is constructed using a design model of the dynamical process to be controlled. The design model obtained from the truth model using a fuzzy modeling approach. The Takagi-Sugeno fuzzy model is adopted for fuzzy modeling of the nonlinear system. The truth model represents a detailed description of the process dynamic. The model is used in a simulation to evaluate the performance of the controller design. Stabilization of the closed-loop discrete Takagi-Sugeno systems using the well-known PDC (Paralel Distributed Compensation) technique is investigated. The design procedure we adopt is to convert the design of the controller to a Linear Matrix Inequality (LMI) problem so that the stability of the whole system can be assured.  
PROGRAM APLIKASI KEAMANAN CITRA DENGAN ALGORITMA DES DAN TRANSFORMASI WAVELET DISKRIT Solichin, Zaki; Bayu, Surarso; Sarwoko, Eko Adi
MATEMATIKA Vol 15, No 1 (2012): JURNAL MATEMATIKA
Publisher : MATEMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (344.998 KB)

Abstract

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.
PERANCANGAN ARSITEKTUR PEMARALELAN UNTUK MENCARI SHORTEST PATH DENGAN ALGORITMA DIJKSTRA sarwoko, Eko Adi
MATEMATIKA Vol 6, No 3 (2003): Jurnal Matematika
Publisher : MATEMATIKA

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Abstract

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.
Studi Banding antara Metode Minimum Distance dan Gaussian Maximum Likelihood Sebagai Pengklasifikasi Citra Multispektral sarwoko, eko adi
MATEMATIKA Vol 7, No 2 (2004): JURNAL MATEMATIKA
Publisher : MATEMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (347.319 KB)

Abstract

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.
Learning Vector Quantization Pada Pengenalan Pola Tandatangan Prabowo, Anindito; Sarwoko, Eko Adi; Riyanto, Djalal Er
JURNAL SAINS DAN MATEMATIKA Volume 14 issue 4 Year 2006
Publisher : JURNAL SAINS DAN MATEMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (675.167 KB)

Abstract

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
Aplikasi Sistem Pakar untuk Diagnosa Penyakit Hipertiroid dengan Metode Inferensi Fuzzy Mamdani Kamsyakawuni, Ahmad; Gernowo, Rachmad; Sarwoko, Eko Adi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1022.805 KB) | DOI: 10.21456/vol2iss2pp058-066

Abstract

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
Sistem Informasi untuk Transaksi dan Analisis Inventori Damayanti, Cynthia; Mustafid, Mustafid; Sarwoko, Eko Adi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 1 (2011): Volume 1 Nomor 1 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol1iss1pp9-15

Abstract

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.
Co-Authors Adi Wibowo Ahmad Kamsyakawuni Alfrianus Papuas Anindito Prabowo Aris Puji Widodo Aris Puji Widodo Aris Sugiharto Asep Yoyo Wardaya Bayu Surarso Betha Noranita Cynthia Damayanti Didi Supriyadi Dinar Mutiara KN Dinar Mutiara KN, Dinar Mutiara Dinar Mutiara Kusumo Nugraheni Djalal Er Riyanto Edy Suharto Edy Suharto Edy Suharto Edy Winarno Ferda Ernawan Firdaus, Zulfia Guruh Aryotejo Indriyati Indriyati Josua Fredy Orlando Siahaan Kabul Kurniawan Kusworo Adi Liew, Siau-Chuin M.Pd S.T. S.Pd. I Gde Wawan Sudatha . Muhamad, Nida Mustafid Mustafid Nurdin Bahtiar Prajanto Wahyu Adi, Prajanto Wahyu Priyo Sidik Sasongko Putut Sriwasito Rachmad Gernowo Ragil Saputra RISMIYATI RISMIYATI Rismiyati Rismiyati Rismiyati Rismiyati Rita Rahmawati Robertus Heri Sulistyo Utomo Roni Akbar Sahid Nur Afrizal, Sahid Nur Sukmawati Nur Endah Surarso Bayu Sutikno, Sutikno Zaki Solichin