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All Journal Media Kesehatan Masyarakat Indonesia BERKALA FISIKA MATEMATIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS YOUNGSTER PHYSICS JOURNAL Jurnal Sistem Komputer Speed - Sentra Penelitian Engineering dan Edukasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Manajemen Kesehatan Indonesia Jurnal Teknologi dan Sistem Komputer Informatika Mulawarman Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) Syntax Literate : Jurnal Ilmiah Indonesia Jurnal Teknoinfo Journal of Physics and Its Applications Unnes Journal of Public Health Jurnal Komunika : Jurnal Komunikasi, Media dan Informatika JARES (Journal of Academic Research and Sciences) Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknik Elektro dan Komputasi (ELKOM) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Aisyah : Jurnal Ilmu Kesehatan Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Makara Journal of Technology
Kusworo Adi
Jurusan Fisika, Fakultas Sains Dan Matematika, Universitas Diponegoro Jl. Prof. Soedharto, SH., Tembalang, Semarang, Jawa Tengah
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PEMBUATAN SISTEM KENDALI POSISI AUTOFOKUS EKSPERIMEN LENSA DENGAN MOTOR LANGKAH Gunadi, Isnain; Gernowo, Rahmat; Adi, Kusworo
BERKALA FISIKA 2015: Berkala Fisika Vol. 18 No. 4 Tahun 2015
Publisher : BERKALA FISIKA

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Abstract

The automatic lens experiment with stepper motor position control has been made. Main component of this device are stepper motor which move the lens and screen. Microcontroller is contens the programs of motor movement controller. The screen contain of Light Dependent Resistor (LDR) as voltage sensor. This image will focused when the voltage in the screen is maximum. The result of test show that the automatic measurement is more accurate than manual measurement.Keywords: Auto-Fokus, LDR, IPMC, LSW, EAPs, VCM
PERANCANGAN DAN IMPLEMENTASI PERANGKAT LUNAK SISTEM PENCOCOKAN SIDIK JARI DENGAN ALGORITMA FILTERBANK GABOR Widodo, Aris Puji; Adi, Kusworo
MATEMATIKA Vol 9, No 3 (2006): JURNAL MATEMATIKA
Publisher : MATEMATIKA

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Abstract

From research result used filterbank gabor algorithms, can give 96 (24 x 4) featurres from 24 sector with 4 filter. Gabor filter use 23 x 23 with orientation change 00, 450, 900, dan 1350. Each orientation angle change will be rotation gabor filter on to its. Make feature vector or FingerCode with Avarage Absolute Deviation (AAD) are average value from difference pixels number for each sector and centre value on sector. Error system on disjoint between FAR dan FRR with value 3,6% and threshold value 39. Then slope from GAR graphic value 400, this is proving that this system is running a good, cause slope recommendation value 450.
HISTOGRAM DAN NILAI DERAJAT KEABUAN CITRA THORAKS COMPUTED RADIOGRAPHY (CR) UNTUK PENDERITA TUBERCULOSIS (TB) PARU-PARU Endahyani, Siti Nur; Adi, Kusworo; Anam, Choirul
JURNAL SAINS DAN MATEMATIKA Volume 18 Issue 4 Year 2010
Publisher : JURNAL SAINS DAN MATEMATIKA

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Abstract

ABSTRACT---Tuberculosis (TB) is an infectious disease caused by the bacteria mycobacterium tuberculosis. TB is the number one killer among infectious diseases, and even Indonesia occupies the fifth largest country in the world in this disease problem. Detection of TB disease through clinical symptoms, laboratory tests and thoracic imaging (lung) with x-ray. The research was conducted to determine the histogram and the average value of gray scale image of the thoracic patients suffering from TB and who is not. By knowing the value of the histogram and the mean gray scale this can later be used as additional instructions for medical personnel to diagnose, i.e. to determine whether the patient has TB or not. In this research, the exposure factors was carried out with a tube voltage of 55 kV, tube current 200 mA and time 0.08 s, using of the Computed Radiography (CR). Histogram analysis performed on the Region Of Interest (ROI) that is at the apex of the lung and superior lung lobes contained patches of gloom on the image of the thorax. It was obtained that the image histogram from TB patients shifted to the right or the gray scale pixel values have a higher (brighter). The average value of pixel gray scale image of the patient suffering from tuberculosis at 13,3 and for patients who are suffering from TB at 61,6.Key words: thoracic imaging, Tuberculosis, histogram ABSTRAK---Penyakit Tuberculosis (TB) merupakan suatu penyakit menular yang disebabkan oleh bakteri mycobacterium tuberculosis. TB merupakan pembunuh nomor satu diantara penyakit menular, bahkan Indonesia menduduki negara terbesar kelima di dunia dalam masalah ini. Deteksi penyakit TB dilakukan melalui gejala klinis, uji laboratorium dan foto thoraks (paru-paru) dengan sinar-x. Penelitian inidilakukan untuk mengetahui histogram dan nilai rerata sekala keabuan citra thoraks pasien yang menderitaTB dan yang bukan. Dengan mengetahui nilai histogram dan nilai rerata sekala keabuan ini nantinya dapat dijadikan petunjuk tambahan bagi tenaga medis untuk menegakkan diagnosa, yaitu untuk menentukan apakah pasien menderita TB atau tidak. Dalam riset ini, eksposi dilakukan pada tegangan tabung 55 kV, arus tabung 200 mA dan waktu 0,08 S, serta menggunakan Computed Radiography (CR). Analisis histogram dilakukan pada Region Of Interest (ROI) yaitu pada daerah apeks paru dan lobus superior paru yang terdapat bercak-bercak kesuraman pada citra thoraks. Dari penelitian diperoleh bahwa histogram citra pasien penderita TB bergeser ke sebelah kanan atau mempunyai nilai skala keabuan piksel yang lebih tinggi (lebih cerah). Nilai rata-rata skala keabuan piksel citra pasien yang menderita TB sebesar 136,3 dan tidak menderita TB sebesar 61,6.Kata kunci: pencitraan thoraks, Tuberculosis, histogram
Correction of 2D Isodose Curve on the Sloping Surface using Tissue Air Ratio (TAR) Method Nuzula, Nurul Firdausi; Adi, Kusworo; Anam, Choirul
JURNAL SAINS DAN MATEMATIKA Volume 23 Issue 3 Year 2015
Publisher : JURNAL SAINS DAN MATEMATIKA

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Abstract

The curve of 2D isodose is used to determine the dose distribution in patient treated by radiotherapy. Therefore, isodose curve is very useful for planning and evaluating of the dose received by the patient. Correction of 2D isodose curve for sloping surface is very important due to the skin of patient is not flat. In this study, the correction of isodose curve was calculated using tissue air ratio (TAR) method for radiation field size of 10x10 cm2. The correction factor was obtained by comparison of TAR value for effective depth and TAR value for total depth. The correction factor then was multiplied to isodose curve for flat surface. In this study, the software for calculating the automated correction factor due to sloping of patient surface has been successfully developed. It was found that if the sloping of patient surface increases then the corrected isodose curve increases. Key wods: 2D isodose curve, tissue air ratio (TAR), correction factor, sloping patient surface.
Sistem Deteksi Retinopati Diabetik Menggunakan Support Vector Machine Setiawan, Wahyudi; Adi, Kusworo; Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (928.963 KB) | DOI: 10.21456/vol2iss3pp109-116

Abstract

Diabetic Retinopathy is a complication of Diabetes Melitus. It can be a blindness if untreated settled as early as possible. System created in this thesis is the detection of diabetic retinopathy level of the image obtained from fundus photographs. There are three main steps to resolve the problems, preprocessing, feature extraction and classification. Preprocessing methods that used in this system are Grayscale Green Channel, Gaussian Filter, Contrast Limited Adaptive Histogram Equalization and Masking. Two Dimensional Linear Discriminant Analysis (2DLDA) is used for feature extraction. Support Vector Machine (SVM) is used for classification. The test result performed by taking a dataset of MESSIDOR with number of images that vary for the training phase, otherwise is used for the testing phase. Test result show the optimal accuracy are 84% .   Keywords : Diabetic Retinopathy, Support Vector Machine, Two Dimensional Linear Discriminant Analysis, MESSIDOR
Sistem Identifikasi Biometrika Wajah Menggunakan Metode Gabor KPCA dan Mahalanobis Distance Kurniawan, Dwi Ely; Adi, Kusworo; Rohim, Adian Fatchur
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 1 (2012): Volume 2 Nomor 1 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (516.973 KB) | DOI: 10.21456/vol2iss1pp006-010

Abstract

Sistem  biometrika  pengenalan  wajah  merupakan  pengembangan  metode  dasar  sistem  autentifikasi  dengan  menggunakan  karakteristik alami  wajah  sebagai  basisnya.  Pendekatan  sistem  identifikasi  merupakan  pengenalan  wajah  seseorang  dengan  mencari  keseluruhan template dalam database untuk pencocokan karakteristik satu ke banyak (1:M). Sistem biometrika pada penelitian ini dibagi menjadi dua tahap  pemasukan  data  (enrollment)  dan  pencocokan  ciri  (matching).  Sistem  mengakuisisi  wajah  dengan  beberapa  posisi  sudut, pencahyaan dan ekspresi yang berbeda-beda. Citra wajah hasil dari akuisisi, diekstraksi menggunakan metode Gabor KPCA  (8x5 filter) untuk  didaftarkan  ke  dalam  database  sebagai  tahap  enrollment  citra  wajah  dan  tahap  selanjutnya  pencocokan  ciri  (matching)  denganmelakukan  pengukuran  jarak  antara  citra  uji  dengan  citra  database  wajah  menggunakan  Mahalanobis  Distance.  Penelitian  ini menggunakan  database  citra  wajah  AT&T  Face  dengan  sampel  40  orang  dan  10  posisi  wajah.  Hasil  penelitian  menunjukkan  bahwa sistem biometrika yang dikembangkan dapat mengenali wajah dengan tingkat akurasi mencapai 97.5%.Keywords : Identifikasi, Filter Gabor, KPCA, Mahalanobis Distance
Implementasi Metode Promethee Dan Borda Dalam Sistem Pendukung Keputusan Pemilihan Lokasi Pembukaan Cabang Baru Bank Apriliani, Dyah; Adi, Kusworo; Gernowo, Rachmat
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (710.309 KB) | DOI: 10.21456/vol5iss2pp145-150

Abstract

The selection of a new branch bank location is crucial to the success of the bank in the future. The object of this research is BMT Muamalat. PROMETHEE method is used to manage individual decision of each decision makers, while Borda method is used to manage group decisions of PROMETHEE method in ranking the results. The use of these two methods is one solution to produce a more objective group decision. Ranked of alternative location have appropriated with the opening rules of the new branches of BMT Muamalat. As for the variables in this study are criminality, facilities and infrastructures, per capita income, economic growth, population, and the number of competitors around the alternative location of a new branch. The results of this research is Banyuputih as the best alternative location.  
Prediksi Harga Saham Harian Menggunakan Jaringan Syaraf Tiruan (JST) Dengan Algoritma Propagasi Balik Purwanto, Purwanto; Adi, Kusworo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 3 (2013): Volume 3 Nomor 3 Tahun 2013
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol3iss3pp

Abstract

Prediksi harga saham berguna bagi investor untuk memahami bagaimana investasi masuk dalam suatu organisasi di masa depan. Prediksi dapat mengantisipasi fluktuasi harga saham dan juga dapat membantu investor untuk membuat keputusan. Jaringan Syaraf Tiruan (JST) menyediakan cara yang cepat dan fleksibel untuk memprediksi harga saham, dan menunjukkan hasil yang baik dibandingkan dengan metode konvensional. Algoritma yang digunakan untuk prediksi saham adalah backpropagation dengan model data time series. Algoritma ini merupakan metode pelatihan terawasi yang berfungsi untuk meminimalkan error pada output yang dihasilkan oleh jaringan. Hasil penelitian ini menunjukkan bahwa hasil optimal yang diperoleh dari Jaringan Syaraf Tiruan adalah menggunakan kombinasi fungsi aktivasi Logsig-Purelin, dengan tingkat nilai Mean Absolute Percentage Error (MAPE) adalah 2.43% dan nilai koefesien korelasinya adalah  94.08%, sehingga algoritma ini layak dan efektif untuk prediksi harga saham.   Kata kunci : Jaringan Syaraf Tiruan, Backpropagation, Peramalan, Harga Saham, Time Series
Support Vector Machine Untuk Klasifikasi Citra Jenis Daging Berdasarkan Tekstur Menggunakan Ekstraksi Ciri Gray Level Co-Occurrence Matrices (GLCM) Neneng, Neneng; Adi, Kusworo; Isnanto, Rizal
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3977.488 KB) | DOI: 10.21456/vol6iss1pp1-10

Abstract

Texture is one of the most important features for image analysis, which provides informations such as the composition of texture on the surface structure, changes of the intensity, or brightness. Gray level co-occurence matrix (GLCM) is a method that can be used for statistical texture analysis. GLCM has proven to be the most powerful texture descriptors used in image analysis. This study uses the four-way GLCM 0o, 45o, 90o, and 135o. Support vector machine (SVM) is a machine learning that can be used for image classification. SVM has a high generalization capability without any requirement of additional knowledge, even with the high dimension of the input space. The data used in this study are the image of goat meat, buffalo meat, horse meat, and beef with shooting distance 20 cm, 30 cm and 40 cm. The result of this study shows that the best recognition rate of 87.5% was taken at a distance of 20 cm with neighboring pixels distance d = 2 in the direction GLCM 135o.
Evaluasi Implementasi Radiology Information System Picture Archiving and Communication System (RISPACS) dengan Pendekatan Model HOT-FIT Suandari, Putu Vierda Lya; Adi, Kusworo; Suryawati, Chriswardani
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 1 (2019): Volume 9 Nomor 1 Tahun 2019
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (77.48 KB) | DOI: 10.21456/vol9iss1pp55-62

Abstract

The application of current technology such as the Radiology Information System Picture Archiving and Communication System (RISPACS) in radiology that doesn’t meet the user’s expectation can raise the inconvenience and affect their productivity. To anticipate this, it is important to understand the basic factors that contribute to the reception and successfulness of applicating RISPACS. This study aims to describe the evaluation of the successful implementation of RISPACS using the Human Organization Technology (HOT FIT) model approach in Radiology Installation at Sanglah Hospital Denpasar. The data in this research were analyzed by Partial Least Square (PLS) test and measuring 71 radiologists as respondents who use RISPACS. The evaluation results of the Human Organization Technology (HOT FIT) model show that the successful implementation of RISPACS technology has a positive assessment that is seen from the user's attitude in responding to a RISPACS technology that is felt to be in accordance with the expectations and operational needs of the user. Variable of system quality, information quality, service quality have a positive influence on system user variable and user satisfaction. While the variable of system users, user satisfaction, organizational structure, and organizational environment had a positive and significant effect by the t-statistic value of >1,96.
Co-Authors - Magister Sistem Informasi Universitas Diponegoro, Vincencius Gunawan S.K Abdillah Noor Fajrin Achmad Widodo Adi Pamungkas Adian Fatchur Rohim Adila Safitri Agus Atabik Anwar Agvion Virsaw Andrian Bayu Suksmono Andriyan B. Suksmono Andriyan Suksmono Andriyan Suksmono, Andriyan Antono Suryo Putro Apoina Kartini Aprilia Ayu Andarinny Ari Bawono Putranto Aris P Widodo Aris Puji Widodo Aris Puji Widodo Aris Sugiharto Ary Setyadi Atik Zilziana Muflihati Noor Baital, Muhammad Sawal Basuki Wibowo Beta Noranita Cahya Tri Purnami Carissa Devina Usman Catur Adi Widodo Catur Edi Widodo Chakim Annubaha Choirul Anam Choirul Anam AM Diponegoro Dedi Apriyandi Dedi Sepriana Didi Supriyadi Dwi Ely Kurniawan Dyah Apriliani Eka Vickraien Dangkua Eko Adi Sarwoko Eko Sediono Elvira Situmorang Evi Setiawati Faikhin . Faisal Rahman Farid Farid Agushybana Fatkhurrazi Basyid Figur Humani Fila Delfia Fila Delfia Frida Fallo Hadyan Arifianto Haryati Haryati Hastuti, Dyah Dewi Havez Vazirani Al Kautsar Hendra Gunawan Hendra Gunawan Hernowo Danusaputro Imam Syafii Ircham Ali Isnain Gunadi Isnain Gunadi Jatmiko Endor Suseno Kiki Puspita Sari Krisan Aprian Widagdo Laila Rahmawati Linda Nuryanti Mailia Putri Utami Mailia Putri Utami Mengko, Tati L.R. Muhammad Ikhsan Muhammad Rivani Ibrahim Nabilatul Fanny Nahdi Saubari NATALIA KRISTIANI Natalia Kristiani Nava Muzdalifah Nelly Mirnasari Neneng Neneng Nina Dwi Astuti Noor Azizah Nugroho Adhi Santoso Nur Hamid Nurul Firdausi Nuzula, Nurul Firdausi Nurul Huda Prasetyo Oky Dwi Nurhayati Purwanto Purwanto Putri Nuriskianti R Rizal Isnanto Rachmat Gernowo Rachmatullah, Robby Rahmat Gernowo Rahmat Gernowo Ria Amitasari Rima Ayuning Ratri Riris Trima Derita Sari Rizky Ayomi Syifa Rr. Tony Yulianto Saiful Widianto Salsabila Naqiyah Septya Maharani, Septya Setyowati Setyowati Shahmirul Hafizullah Imanuddin Sifaunajah, Agus Siti A'isyah Siti Nur Endahyani Sri Bintang Pamungkas Suandari P.V.L Suryono Suryono Suseno, Jatmiko Endor Sutopo Patria Jati Tati Mengko Tati Mengko, Tati Tito Rano Pradibto Toni Wijanarko Adi Putra Tri Mulyono Tri Sandhika Jaya Tutur Urip Undari Nurkalis Vincencius Gunawan, Vincencius Vincensius Gunawan S.K. Wahyu Setia Budi Wahyudi Setiawan Waliyansyah, Rahmat Robi Weirna Yusanti Willy Bima Alfajri Yulaikha Maratullatifah Yuliani Setyaningsih Zaenal Arifin Zaenul Muhlisin Zainal Bachrudin