Jurnal Teknologi Informasi dan Terapan (J-TIT)
Jurnal Teknologi Informasi dan Terapan (J-TIT) | ISSN:2354-838X (cetak) | ISSN:2580-2291 (online) adalah media publikasi ilmiah di bidang Teknologi Informasi Terapan yang terbit secara periodik dua kali dalam setahun setiap bulan Januari dan Juli. J-TIT dipublikasikan melalui media cetak maupun elektronik (website). J-TIT pertama kali terbit pada Januari 2014. J-TIT di publikasikan oleh Jurusan Teknologi Informasi dan Terapan Politeknik Negeri Jember. Lingkup J-TIT mencakup bidang teknologi informasi dan terapan.
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<![CDATA[IMPLEMENTASI ALGORITMA KRIPTOGRAFI RC4 DAN METODE STEGANOGRAFI AUDIO 2LSB PADA SISTEM KEAMANAN INFORMASI ]]>
<![CDATA[Ely Setyo Astuti]]>;
<![CDATA[Binar Prihadmantyo]]>;
<![CDATA[Meyti Eka Apriyani]]>
<![CDATA[ Jurnal Teknologi Informasi dan Terapan Vol 4 No 2 (2017) ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Politeknik Negeri Jember ]]>
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DOI: 10.25047/jtit.v4i2.61
<![CDATA[Providing security and confidentiality to information is needed when exchanging information through communication networks. It is intended that the information sent by the sender can be received in full by the recipient without any interference from parties who are not interested in the information.Cryptographic techniques and steganography can be used to secure confidential messages. Building applications that combine these two techniques can provide security for confidential messages well. Security techniques that can be used are cryptographic techniques using the RC4 algorithm to secure secret messages in the form of text or images, and insert secret messages with 2LSB steganography method into audio media.The analysis carried out is the level of success of the message insertion and extraction process, process speed, stego audio attack, and audio quality. The results of 18 times insertion testing and message extraction, obtained a success percentage of 100% with different processing times depending on the size of the message being inserted. The resulting Stego audio has good quality and does not cause noise that can be heard directly by the human senses, but stego audio cannot withstand attacks that cause changes to the stego file byte value. So it can be concluded that the combination of the RC4 cryptographic algorithm and the 2LSB steganography method can secure the message properly and provide the results of decryption without any changes to the inserted message]]>
<![CDATA[SEGMENTASI AREA GIGI MENGGUNAKAN FUZZY C-MEANS ]]>
<![CDATA[Hardian Oktavianto]]>;
<![CDATA[Izzati Muhimmah]]>;
<![CDATA[Taufiq Hidayat]]>
<![CDATA[ Jurnal Teknologi Informasi dan Terapan Vol 4 No 2 (2017) ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Politeknik Negeri Jember ]]>
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DOI: 10.25047/jtit.v4i2.63
<![CDATA[Researches with early detection of caries using x-ray topic has been widely developed, generally before doing object detection, the early step is segmentation. Image segmentation is one of the digital image processing steps used to segregate an area or object observed with other areas or objects. Segmentation has an important role as the initial determination of the desired area or object so that it can be continued to the identification stage. FCM (fuzzy c-means) algorithm is one of object segmentation technique or object grouping in the field of digital image processing study. The basic concept of FCM is to determine the centroid and members of each group adaptively, in principle FCM uses a fuzzy grouping model so that a data or element becomes a member of all the clusters that are formed. Segmentation of the dental area using FCM with 4 clusters aims to segment the enamel, dentin, pulp, and backround areas. The result of segmentation using FCM is influenced by the condition of the dataset used. The background area of the entire dataset can be well segmented. FCM is also capable of segmenting the enamel area but in some datasets, the enamel segmentation results are still mixed with other teeth areas. For the dentin and pulp areas, the segmentation result of these two areas is not optimal yet; most of the dentin and or pulp areas are still segmented with the other teeth’s area.]]>
<![CDATA[PENERAPAN ALGORITMA APRIORI DALAM MENENTUKAN POLA PEMBELIAN KONSUMEN DI KAFE HIDDEN TOAST AND FLOAT ]]>
<![CDATA[Ridwan Rismanto]]>;
<![CDATA[Lucki Darmawan]]>;
<![CDATA[Arief Prasetyo]]>
<![CDATA[ Jurnal Teknologi Informasi dan Terapan Vol 4 No 2 (2017) ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Politeknik Negeri Jember ]]>
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DOI: 10.25047/jtit.v4i2.64
<![CDATA[Progress in Information Technology encourages culinary businesses to innovate, one of them is a computerized system, online-based sales and several interesting features that can increase consumer interest and increase sales to be the most frequently used innovation today. The cafe "Hidden Toast and Float" is a cafe in the City of Kediri. To increase sales from the cafe, a system is needed to facilitate the owner in recording sales and increasing the number of sales by providing automatic menu recommendations to customers. Based on the problem, in this thesis a website-based sales system and sales system will be created that is accompanied by the application of a priori algorithm to determine the purchasing patterns of customers and automatic menu recommendations from the system for customers. The test results of this thesis are two website-based systems with admin systems used to process existing data on the database and customer websites that are used for online purchases, as well as the application of a priori algorithms with the results of testing sample data and real data that produce menu combination recommendations. most often purchased based on all transaction data, namely Dark Choco Jam and Cappucino with a support value of 15% and a confidence value of 45%.]]>
<![CDATA[PENGEMBANGAN SISTEM PENDETEKSI BANJIR MENGGUNAKAN FUZZY DENGAN RASPBERRY PI (STUDI KASUS: KABUPATEN SAMPANG) ]]>
<![CDATA[Dwi Puspitasari]]>;
<![CDATA[Muhammad Thaifururrahman]]>;
<![CDATA[Rudy Ariyanto]]>
<![CDATA[ Jurnal Teknologi Informasi dan Terapan Vol 4 No 2 (2017) ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Politeknik Negeri Jember ]]>
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DOI: 10.25047/jtit.v4i2.65
<![CDATA[Flooding is a natural disaster that is troubling for the community. Floods occur due to overflowing water from rivers, lakes, or gutters. The flood also caused material losses and even caused casualties. Sampang Regency is one of the districts located on Madura Island which is often flooded.The Raspberry Pi is a mini computer that is capable of performing the same tasks as a computer. The use of the Raspberry Pi as a server is more efficient than using a PC server which in terms of price is very expensive. The Raspberry Pi can also be combined with various sensors because it has 40 pins as a connector. The Parallax Ping sensor is an ultrasonic sensor that can detect the distance of an object by emitting ultrasonic waves with a frequency of 40 KHz and then detecting the reflection. By using an ultrasonic sensor as a water level counter, the height value of the river will be obtained. From this height value, it is then processed using the fuzzy mamdani method to produce a river water level status. This elevation status will then be informed to the public.Based on the test results, this flood detection system uses an ultrasonic sensor as a water level meter that is controlled by the Raspberry Pi. Data from ultrasonic sensors then calculated by fuzzy mamdani method can produce water level status. The water level status is obtained from the height data of the water surface calculated by using an ultrasonic sensor. The water level status is then sent to a cellphone number using a wavecom modem.]]>
<![CDATA[PENGEMBANGAN ALGORITMA PENGENALAN JENIS KALIMAT PADA BAHASA ARAB DENGAN METODE AFFIX MAPPING ]]>
<![CDATA[Maksum Ro’is Adin Saf]]>;
<![CDATA[Dini Hidayatul Qudsi]]>;
<![CDATA[Istianah Muslim]]>
<![CDATA[ Jurnal Teknologi Informasi dan Terapan Vol 4 No 2 (2017) ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Politeknik Negeri Jember ]]>
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DOI: 10.25047/jtit.v4i2.66
<![CDATA[Arabic is one of the most popular languages in Indonesia which is Muslim population being majority. Ability to recognize the types of sentence in Arabic Language is one of basic topic in Arabic language studying. The type of sentence in Arabic is known from the first word in the sentence, but often the first word of a sentence is not the original words, so it can not be found directly in the dictionary. In this reseach, the Arabic Stemming algorithm was modified to find the type of the word using affixes include to the word, this method refers to the rules in Sharf science, therefore this method is named as Affix Mapping Algorithm. The algorithm that has been prepared is tested using Cyclomatic Complexity method and the result shows that the independent path obtained is 5, from the result it can be concluded that the algorithm is structured well, very easy to test, and last long.]]>
<![CDATA[PENGELOMPOKAN KEJADIAN GEMPA BUMI MENGGUNAKAN FUZZY C-MEANS CLUSTERING ]]>
<![CDATA[Ryan Rifqi Arista]]>;
<![CDATA[Rosa Andrie Asmara]]>;
<![CDATA[Dwi Puspitasari]]>
<![CDATA[ Jurnal Teknologi Informasi dan Terapan Vol 4 No 2 (2017) ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Politeknik Negeri Jember ]]>
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DOI: 10.25047/jtit.v4i2.67
<![CDATA[The Indonesian region has a high level of earthquake vulnerability when compared to other countries. This is because Indonesia's position is at the confluence of three large tectonic plates namely the Eurasian plate, the Indo-Australian plate, and the Pacific plate. The high level of earthquake susceptibility is evidenced by significant earthquake data from 2005 to 2009, which recorded 26 significant earthquakes over a period of 4.8 to 8.6 on the Richter scale. The earthquake also caused impacts including casualties, injuries, damage to houses and destruction of houses.The earthquake event grouping system is a system that functions to classify earthquake events based on two main parameters, namely earthquake strength parameters and earthquake impact parameters. The two parameters are grouped separately, so that the grouping process produces two kinds of grouping results. The stages of this system start from preprocessing data to eliminate noise, then take grouping parameters from the user in the form of the number of clusters, minimum error values, and the maximum iteration limit. Grouping is done using fuzzy c-means method. The grouping results are then displayed in table form and in the form of coordinates in Google Maps.The grouping of earthquake events has been tested by comparing the results of grouping systems with the results of manual grouping. Testing is done by inputting a number of different maximum iterations. Based on the test results it was found that the greater the maximum iteration value will affect the accuracy of grouping.]]>
<![CDATA[PROTOTYPE SMART INSTRUMENT UNTUK KLASIFIKASI PENYAKIT HIPERTENSI BERDASARKAN JNC-7 ]]>
<![CDATA[Dudi Irawan]]>;
<![CDATA[Izzati Muhimmah]]>;
<![CDATA[Tito Yuwono]]>
<![CDATA[ Jurnal Teknologi Informasi dan Terapan Vol 4 No 2 (2017) ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Politeknik Negeri Jember ]]>
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DOI: 10.25047/jtit.v4i2.68
<![CDATA[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.]]>
<![CDATA[TEKNOLOGI MOTION-BASED TRACKING UNTUK PENGEMBANGAN APLIKASI KEAMANAN ]]>
<![CDATA[Mira Orisa]]>;
<![CDATA[Karina Auliasari]]>;
<![CDATA[Rofila El Maghfiroh]]>
<![CDATA[ Jurnal Teknologi Informasi dan Terapan Vol 4 No 2 (2017) ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Politeknik Negeri Jember ]]>
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DOI: 10.25047/jtit.v4i2.69
<![CDATA[The surveillance camera system is widely used by the public. The surveillance camera system used is usually a CCTV camera. In general, CCTV cameras can only record video. Security monitoring or monitoring by CCTV cameras can only be effective if there are operators who see the record directly on a monitor. Actually the surveillance camera system can be programmed to give a warning sign to the user. The surveillance camera used in this study is the IP camera. The camera is a camera that can be programmed to provide a notification to the user. By implementing motion-based tracking technology on the surveillance camera system can detect movement. Kalman filter is one of the motion-based tracking methods. Kalman filters can predict the movements recorded by the IP camera. The results of this study state that the surveillance camera system can provide notification messages to users via an android device when the surveillance camera records the movement of human objects.]]>
<![CDATA[PENGUJIAN MULTIMEDIA PEMBELAJARAN MATERI PERKEMBANGBIAKAN HEWAN DAN TUMBUHAN UNTUK SEKOLAH DASAR ]]>
<![CDATA[Faulinda Ely Nastiti]]>;
<![CDATA[Mira Erlinawati]]>
<![CDATA[ Jurnal Teknologi Informasi dan Terapan Vol 4 No 2 (2017) ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Politeknik Negeri Jember ]]>
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DOI: 10.25047/jtit.v4i2.70
<![CDATA[Multimedia learning can be used as a teacher teaching aids, especially to visualize teaching materials. In order to maximum its learning tools, then the implementation of multimedia learning must go through the testing process first. The purpose of this study is to test the functionality of the application and to measure the perceptions of teachers and students on the multimedia learning of animal and plant breeding. Testing is done by Beta testing method consists of two stages: 1) application functionality testing, 2) user perception testing (teacher and student). Tests carried out by the perception of a Likert scale, and processed by taking the mean of the answers. 100% of the applications can be run in accordance with functionality. Variables: interface, interactions and material on learning multimedia of animal and plant breeding can be accepted by teachers and students. The challenge remains on infrastructure such as a computer student who has not been adequate or even students have not had a computer / tablet at home, so that the self-learning process can not be maximized. .]]>
<![CDATA[SISTEM PEMANTAUAN KONSENTRASI CO KEBAKARAN HUTAN RIAU MENGGUNAKAN TEKNOLOGI WIRELESS SENSOR NETWORK (WSN) DAN INTERNET OF THINGS (IOT) ]]>
<![CDATA[Eko Prayitno]]>;
<![CDATA[Desi Amirullah]]>
<![CDATA[ Jurnal Teknologi Informasi dan Terapan Vol 4 No 2 (2017) ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Politeknik Negeri Jember ]]>
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DOI: 10.25047/jtit.v4i2.71
<![CDATA[The purpose of this research is how to make an air condition monitoring system by considering the concentration value of carbon monoxide in Riau Province. The technology used to support monitoring system of carbon monoxide concentration, using Wireless Sensor Network Technology (WSN) and Internet of Things (IoT). One of the WSN concepts to be used is a combination of several sensors, the only sensors used to detect the level of carbonmonoxide concentration include: carbon monoxide, temperature and humidity sensors. Air condition data derived from the sensor in the form of concentration value of carbon monoxide, temperature and humidity of air sent to server connected to network using IoT technology. Based on the test results it can be concluded that the air condition monitoring system using WSN and IoT technology can be applied in realtime, this can be proven with the data shown in the monitoring tool. the detection of a fire source using a sensor can be done by using a distance between a smoke source (hotspot) and a device 90cm. From the observation result there is difference between sensing data without smoke and using smoke, such as temperature has 60C difference, humidity 20 rh and carbon monoxide about 17ppm]]>
