Tito Yuwono, Tito
Islamic University of Indonesia

Published : 5 Documents
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Comparison of Smart Antenna Technique Based on Adaptive Antenna Systems and Switched Beam Systems Yuwono, Tito; Ismail, Mahamod; Zainudin, Zuraidah
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2004
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

The continuous increment of mobile communication subscribers, require a highercapacity and spectrum efficiency of the cellular system especially in an urban area where thetraffic density is high. In order to accommodate the increasing number of subscribers, smartantenna technology is used to improve system’s performance, which could increase thenumber of call and data transmission as well as simplifying the networking management. Thebasic principle of a smart antenna is to control and reduce the effect of interference toprovide the user with the highest quality of uplink and downlink signal. This can be achievedby using narrow beams with signal processing capability at the base sites and to optimize itsradiation pattern, which automatically updated according to MS movement or as signalsconditions change. In this study, two types of smart antenna were considered, which are theswitched beam systems and adaptive antenna systems. The significant difference betweenthese two systems is from the beamforming point of view. The key part of this study is todevelop a simulator for adaptive antenna systems (AAS) and switched beam systems (SBS)based on GSM 900 in order to determine the factors that could affect network’s quality andcapacity. Simulation results of different techniques are compared and the performanceevaluations of C/I are discussed. Results show that the AAS gives a better performancecompared to SBS, with average improvement of C/I around 5 to 10 dB.Keywords: smart antenna, adaptive, switched beam,C/I
Kendali Daya Dinamis pada Pemancar (Base Station) Sistem Komunikasi Generasi Ketiga WCDMA Yuwono, Tito; Ismail, Mahamod
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2004
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

WCDMA telah dipilih sebagai air interface untuk sistem UMTS. Air interface inibekerja berdasarkan pada sistem akses jamak CDMA. Kendali daya dinamis diperlukanuntuk mendapatkan kualitas yang baik dengan daya yang minimum, sehingga kapasitassistem dapat ditingkatkan. Dari hasil simulasi didapatkan SINR 3,6001 dengan daya padapemancar 0.0825 watt, 0.0412 watt, dan 0,0466 watt.Kata kunci: kendali daya, daya, WCDMA, SINR.
Pembacaan Waktu sebagai ekstraksi EKG pada Diagnosis Penyakit Jantung Muhimmah, Izzati; Yuwono, Tito; Marfianti, Erlina; Franz, Annafi’
Seminar Nasional Informatika Medis (SNIMed) 2017
Publisher : Magister Teknik Informatika, Universitas Islam Indonesia

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Abstract

Secara global penyakit jantung merupakan penyakit tidak menular penyebab kematian terbesar. Salah satu cara mengenali penyakit jantung adalah dengan mendiagnosis berdasarkan hasil dari elektrokardiogram (EKG) yang kemudian dianalisis oleh ahlinya. EKG merupakan gambaran dari aktivitas listrik jantung yang terdiri dari beberapa komponen. Pada penelitian ini diusulkan algoritma pembacaan waktu pada komponen EKG yang berupa durasi interval dan segmen waktu untuk mendapatkan nilainya. Nilai interval dan segmen yang didapat kemudian di proses oleh mesin inferensi Modified K-Nearest Neighbor (MKNN) untuk mendapatkan hasil diagnosis penyakit jantung.  Nilai akurasi yang didapat dari menggunakan algoritma pembacaan waktu sebagai ekstraksinya dan MKNN sebagai mesin inferensinya adalah 90.22%.
Decision Support System for Heart Disease Diagnosing Using K-NN Algorithm Yuwono, Tito; Setiawan, Noor Akhmad; Nugroho, Hanung Adi; Persada, Anugrah Galang; Prasojo, Ipin; Dewi, Sri Kusuma; Rahmadi, Ridho
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.2.544

Abstract

Heart disease is a notoriously dangerous disease which possibly causing the death. An electrocardiogram (ECG) is used for a diagnosis of the disease. It is often, however, a fault diagnosis by a doctor misleads to inappropriate treatment, which increases a risk of death. This present work implements k-nearest neighbor (K-NN) on ECG data to get a better interpretation which expected to help a decision making in the diagnosis. For experiment, we use an ECG data from MIT BIH and zoom in on classification of three classes; normal, myocardial infarction and others. We use a single decision threshold to evaluate the validity of the experiment. The result shows an accuracy up to 87% with a value of K = 4.
PROTOTYPE SMART INSTRUMENT UNTUK KLASIFIKASI PENYAKIT HIPERTENSI BERDASARKAN JNC-7 Irawan, Dudi; Muhimmah, Izzati; Yuwono, Tito
Jurnal Teknologi Informasi dan Terapan Vol 4 No 2 (2017)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v4i2.68

Abstract

High blood disease or famous to known as hypertension almost 95% the cause is very difficult  to know. One way to know the condition of our health is by checking routine to the nearest clinic or hospital. Hypertension is one of the risk factors for dangerous diseases, such as stroke, heart attack, and kidney failure. Hypertension can cause high morbidity (pain) and mortality (death), hypertension is often called silent killer disease. People with Hypertension rarely show early symptoms, and their recognition is usually through screening, or when seeking medical treatment for unrelated health problems.  The cause factors of hypertension include weight and height, body fat, and alcohol levels inside of  body. To know the condition of body to hypertension need a monitoring system and use tool tensimeter. In this research has been made the means of detecting factor symptoms of hypertension. After the measurements are done by each sensor then the data is processed by Arduino Microcontroller to be processed to computer via serial port (USB). On the computer data that has been sent will be processed using decision tables with databases obtained from experts, the resultin a decision will give classification of hypertension and non-pharmacological management.