Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 2018-11-16T23:36:25+00:00 Yuhefizar Open Journal Systems <p><span class="" lang="id"><span class="">Ikatan Ahli Informatika Indonesia (IAII) merupakan lembaga/organisasi profesi di bidang informatika yang merangkul semua insan informatika untuk berperan aktif dalam mengembangkan profesi informatika di Indonesia. Dalam panduan Dikti, terkait pengelola Jurnal merupakan salah satu wewenang organisasi profesi dengan penilaian 4. Oleh karena itu Jurnal ini hadir dalam rangka mengemban tugas tersebut.</span></span></p> <p><span id="result_box" class="" lang="id"><span class="">Jurnal </span>RESTI&nbsp; (Rekayasa Sistem dan Teknologi Informasi) adalah sebuah jurnal <em>blind peer-review</em> <span class="">yang didedikasikan</span> untuk publikasi hasil penelitian yang berkualitas dalam&nbsp; bidang Rekayasa Sistem dan Teknologi Informasi namun tak terbatas secara implisit. Semua publikasi di junal RESTI bersifat akses terbuka yang memungkinkan <span class="">artikel </span>tersedia secara bebas online tanpa berlangganan apapun.</span></p> <div class="itanywhere-activator" style="left: 0px; top: 49px; display: none;" title="Google Translator Anywhere">&nbsp;</div> <div class="itanywhere-activator" style="left: 0px; top: 45px; display: none;" title="Google Translator Anywhere">&nbsp;</div> Klasifikasi Citra X-Ray Diagnosis Tuberkulosis Berbasis Fitur Statistis 2018-11-16T23:35:44+00:00 Yudhi Agussationo Indah Soesanti Warsun Najib <p><em>Tuberculosis is one of the causes of human death. The results of the x-ray examination of tuberculosis diagnosis can be used as an object in the feature extraction process which is a stage in extracting the characteristics of the object contained in an image of a diagnosis of tuberculosis. In this study used first-order statistic (histogram), first-order Gray-Level Co-occurrence Matrix (GLCM) feature extraction methods, as well as the Principle Component Analysis (PCA). Data research digital x-ray tuberculosis patients from Dr. Sardjito Yogyakarta as 33 patients in 2012. Each 6 normal PA (Postero-anterior), 19 abnormal PA, 4 normal AP (Antero-Posterior), and 4 abnormal AP. This study aims to find the best characteristics contained in the x-ray image of tuberculosis diagnosis using statistical texture analysis obtained from features found in feature extraction methods. Identified features: variance, standard deviation, skewness, kurtosis, contrast and energy. Classification uses 33 test data are built using the Multi Layer Perceptron (MLP) method, while the output is a normal and abnormal image. The results showed that the accuracy classification used Histogram (81,81%), GLCM (96,96%), PCA (81,82%), and combination GLCM Histogram (100%).</em></p> 2018-11-06T16:31:13+00:00 ##submission.copyrightStatement## Kontrol Bandwidth Dinamis Berbasis Algoritma Logika Fuzzy pada Jaringan Wireless Ad-Hoc 2018-11-16T23:35:52+00:00 Yedidio Purwodwiyogo Alif Subardono <p><em>Ad-Hoc network is a wireless network consisting of a collection of nodes that are connected spontaneously and dynamically. With the character of the Ad-Hoc network, this network is often used in the development of IoT devices (Internet of Things) or emergency conditions. But in the implementation of the Ad-Hoc network there are challenges that need to be addressed, one of which is the very limited bandwidth that can be provide. The existence of these things will lead to new problems, when network traffic is very busy, it will reduce the fairness level of bandwidth distribution. Therefore, the implementation of fuzzy logic is proposed as a reliable decision maker in managing bandwidth. From the results found in this study prove that the results of the obtained throughput performance is not found to be a significant increase, but the jitter and packet loss produces a better value than when the bandwidth management system is applied.</em></p> <p><em>&nbsp;</em></p> 2018-11-06T15:42:22+00:00 ##submission.copyrightStatement## Pembuatan Histogram Dan Pola Data Warna Urin Berdasarkan Urinalisis Menggunakan Mini PC 2018-11-16T23:35:58+00:00 Andrizal Andrizal Anton Hidayat Tuti Angraini Yefriadi Yefriadi Rusfandi Rusfandi Rivanol Chadry <p><em>The method for observing urine color to diagnose a disease of patient has done so far. The visual observation with human eyes has done to study and analyze human urine color and detect the connected disease. Human vision lately can be replaced with computer visual system or other sensor or camera to detect that color. The color of object is composed by two color components, they are frequency and spatial domain. Therefore, each color has wavelength and form in number of frequency. Color censor&nbsp; TCS 3200 produces output signals with different frequency based on scanned color through photodiode of the censor. Recognizing of the object in the form of shape, color and other variables of the object. Feature extraction is obtain from the data pattern as well as histogram. This research aims generate histogram and urine color pattern according to patient situation indication. The use of</em> <em>color reference is main color urinalysis, the result of method at Cleveland in Ohio in 2013.&nbsp; Based on the research, the pattern and color histogram were obtained in different style found in detected different urine color. This research would contribute to help identification process of diseases based on urine color thorough online.</em></p> 2018-11-06T01:13:19+00:00 ##submission.copyrightStatement## Aplikasi Penerimaan Mahasiswa Baru Online Dengan Sms Gateway di STMIK Indonesia Padang 2018-11-16T23:36:12+00:00 Monanda Rio Meta Ilham Eka Putra Annisa Urfa <p>STMIK Indonesia Padang <em>is one of the high school level education isntitutions in Padang</em><em>. </em><em>In Students admission activities, </em>STMIK Indonesia <em>is still announce the result conventionally,</em> <em>its affect the comfort of prospective students</em><em>. </em><em>Examinees have to wait until the reslut announced to know if they could register or not</em><em>. </em><em>There for</em><em>, SMS Gateway</em><em> system is neededto improve</em> <em>service to prospective students</em> <em>and improve the image of </em>STMIK Indonesia Padang <em>it self in society</em><em>. </em><em>This research intented to build a </em><em>SMS Gateway</em><em> aplication</em> <em>to help students admission activities at</em> STMIK Indoenesia Padang<em>. </em><em>This </em><em>SMS Gateway </em><em>developed by waterfall method</em><em>, </em><em>with</em><em> PHP</em><em> programming language</em> <em>and</em><em> Gam</em><em>u aplication</em> <em>to integrate the System to</em><em> SMS Gateway </em><em>and</em> <em>tested with</em><em> black box</em><em> method</em><em>. </em><em>The result is a </em><em>SMS Gateway</em><em> Information System</em> <em>to inform students passing grade</em><em>.</em></p> <p><em>&nbsp;</em></p> 2018-11-06T01:12:58+00:00 ##submission.copyrightStatement## Pengaruh Normalisasi Teks Dengan Text Expansion Dalam Deteksi Komentar Spam Pada Youtube 2018-11-16T23:36:25+00:00 Imam Thoib Arief Setyanto Suwanto Raharjo <p><em>The popularity of Youtube as the largest video sharing website in the wolrd give spammers opportunities to get benefit from Youtube in illegal ways by putting spam comments on Youtube's videos. Spam comments are very troubling to channel owners. The variants of spam comments are becoming more difficult to detect. One of them is spam comments using abbreviations, symbols, terms or misspelled word to make detection difficult. This research evaluate some classification techniques and employ text normalization method called TextExpansion to deal with this problem. This research uses Youtube Spam Collections dataset from UCI Machine Learning Library composed by five different datasets, which each one contains text comments extracted from YouTube videos (Psy, Katty Perry, LMFAO, Eminem and Shakira). The evaluation results shows TextExpansion is able to produce the highest accuracy value of 90.23%. To determine the impact of applying the TextExpansion method, this research conducted t-test for each dataset. The results of t-test for each dataset shows </em><em>P(T&lt;=t) two-tail &lt; 0.05</em>&nbsp;<em>which indicates a significant impact after applying text normalization using TextExpansion.</em></p> 2018-10-31T13:14:33+00:00 ##submission.copyrightStatement##