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INDONESIA
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Published by Universitas Brawijaya
ISSN : -     EISSN : -     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering
Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian dan memberikan kontribusi yang berarti untuk meningkatkan sumber daya penelitian dalam Teknologi Informasi dan Ilmu Komputer.
Arjuna Subject : -
Articles 6,850 Documents
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Rekomendasi Rumah Makan Malang Menggunakan Metode Fuzzy Analytical Hierarchy Process dan Technique For Order Preference by Similarity to Ideal Solution Mohammad Toriq; Imam Cholissodin; Putra Pandu Adikara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesia is one country with a large population increasing every year in the culinary business. Then a system is needed that can recommend restaurants to customers. This problem can be solved by using Fuzzy Analytical Hierarchy Process and Technique for Order Preference methods by Similarity to Ideal Solution (F-AHP and TOPSIS). The criteria are the number of food menus, restaurant ratings, food menu prices, distance of restaurants and length of time open. This method is divided into 2 stages. The first phase of FAHP is the comparison of criteria matrix, normalization of comparison criteria matrix, weight vector, priority weight, consistency ratio, TFN matrix conversion, fuzzy synthesis matrix, defuzzification vector and ordinate and fuzzy vector normalization. The second stage is TOPSIS from decision making matrix, normalization of decision matrix, weighted normalization matrix, search for positive-negative ideal solution, distance search for ideal positive-negative solution and preference value. The results of the preference value are sorted to produce the recommended restaurant ratings. In this study involved 3 customers who had visited a restaurant. The test uses the Spearman correlation test method in determining the proximity of the results of the ranking system to the manual rating by each customer. The results of testing the level of accuracy of the system rating on customers is low, namely 0.3352, -0.1538 and third -0.3205. This shows a lack of conformity between expert choices on the system because the results of expert ratings are still not based on the specified criteria.
Implementasi Metode Support Vector Machine Untuk Klasifikasi Jenis Penyakit Malaria Tryse Rezza Biantong; Muhammad Tanzil Furqon; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Malaria is a disease transmitted by female Anopheles mosquitoes infected by a parasite (protozoa) originating from the genus Plasmodium. There are four species of protozoa parasites that commonly attack humans, including: Plasmodium vivax which causes malaria tertiana, Plasmodium falciparum causes malaria tropica, Plasmodium malariae causes malaria quartana, and Plasmodium ovale causes malaria ovale. These four malaria cases almost have the same symptoms, so it is not easy to distinguish between one to another. Therefore, a system that can classify these types of malaria based on the symptoms is needed. Classification is the creation of a model that is used to classify an object into a predetermined class based on the same characteristics. One of the classification method is Support Vector Machine (SVM). Therefore the SVMs classification algorithm using the RBF kernel is being used in this study. The data used were 200 data taken from Dinas Kesehatan Kabupaten Nabire, Papua. In this test used K-fold Cross Validation with the K-fold values = 10. The best accuracy results generated by this system is 72.5% with the value of the parameter λ=0.1, σ=1, γ=0.001, C=0.1, ε=1.10-5, itermax=50 data on the ratio of 80% training data : 20% testing data.
Implementasi Protokol MQTT (Message Queuing Telemetry Transport) Untuk Monitoring Infus Pasien Secara Terpusat Sutikno Sutikno; Dahnial Syauqy; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Amount of patient and medical officers leads a new problems. One of them is about monitoring patient infusion fluid. Based on the case, a system is needed to monitor the patient's Infusion fluid when it is low, so that the officer is not late in replacing the intravenous fluids to the patient. To help overcome this problem, a system designed to monitor the patient's infusion centrally using MQTT (Message Queuing Telemetry Transport) delivery. The droplet reading is done by using a photodiode sensor by placing the sensor on the infusion chamber. Data processing on sensor node using NodeMCU and on server using PC / Laptop by utilizing websocket. The process of displaying data is done in realtime on the web interface. The test results on the three sensor nodes to detect the droplets yielded varying values ​​of 96%, 96%, and 94.6%. As for the test delay, obtained the average delay that occurs is 454.6 milli seconds.
Sistem Pembacaan Nada Trumpet dengan Metode Fast Fourier Transform (FFT) Berbasis Embedded System A. Baihaqi Mubarok; Dahnial Syauqy; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Marching bands are an art group that half of the composition is brass players. However, in Indonesia some trumpet players in the marching band did not understand the C D E F A B C tone theory, including the method for tuning tools. In this study a tuning system for trumpet with FFT (fast fourier transform) algorithm was developed. The system developed uses a USB microphone as a sensor, data processing is done with Raspberry Pi 3. FFT processing uses the Numpy library, in which there are several subprocesses, from taking signal samples to windowing. After the window is obtained, the FFT can be calculated, and then the results of the FFT will be converted into a frequency domain and then converted to pronunciation notation (do, re, mi, fa, sol, la, si, do). The output of this process is the frequency and notation displayed on the 16 x 2 LCD. The test results on the sensor can capture various sounds, and the test results on the system can capture chromatic tones between octaves 3 to 4, with an average the difference in frequency is 1.85 Hz. In testing the computation time, the average results were 0.28 seconds.
Klasifikasi Video Clickbait pada YouTube Berdasarkan Analisis Sentimen Komentar Menggunakan Learning Vector Quantization (LVQ) dan Lexicon-Based Features Dwi Wahyu Puji Lestari; Rizal Setya Perdana; Putra Pandu Adikara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Clickbait is social media content that aims to attract website visitors in order to visit their content by creating clickbait in form of appealing or provoking title but with irrelevant content. It makes the visitor decieved and disappointed, so they usually vent their frustation by writing their positive or negative opinion on the comment section. The document that is used in the research comes from YouTube comments that is related with Indonesian clickbait and non-clickbait content. This research used Learning Vector Quantization (LVQ) method and Lexicon-Based Features as word weighting other than using TF-IDF. This research uses 300 data consisting 2 type of data, training and testing data with the ratio of 70% training data and 30% testing data. The accuracy of the system that is obtained by classification using LVQ without Lexicon-Based Features is 54.54%, 1 precission, 0.1667 recall and 0.2858 f-measure. The result of the accuracy of the system using LVQ and Lexicon-Based Features is 90.91%, 0.8571 precission, 1 recall, and 0.9231 f-measure. The conclution is that LVQ method and Lexicon-Based Features can be used for sentiment classification.
Evaluasi dan Perbaikan Rancangan Antarmuka Pengguna Situs Web Eventmalang Menggunakan Pendekatan Human Centered Design Rahadian Irwandana; Admaja Dwi Herlambang; Mochamad Chandra Saputra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

EVENTMALANG website is a media for reporting information about event performances in Malang, Batu, and its surroundings which is located at www.eventmalang.net. This study discusses how to increase the level of usability website using the WEBUSE questionnaire which has 4 categories of Content,vOrganization andvReadability, Navigationvand Links, UservInterface Design and Performancevand Effectiveness which are given to 30 respondents with purposive sampling technique. Solution design making applies the Human Centered Design (HCD) approach and then evaluates the solution design again. The results of the solution design evaluation showed the highest increase in the category of User Interface Design that experienced an increase of 0.103. Followed by Navigation and Links an increase of 0.086. Content, Organization and Readability has increased by 0.065, and Performance and Effectiveness has increased by 0.055.
Pengembangan Aplikasi Pelatihan Bahasa Pada Tunarungu Menggunakan Google Speech Berbasis Android M. Brilian Misbah Al Hakim; Herman Tolle; Agi Putra Kharisma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Deaf children belong to a group of children who experience language and communication problems because of their inability to get a voice. Despite their shortcomings they still have the potential to learn to speak and speak. In developing language skills and speaking deaf children need special services in the form of systematic language teaching to minimize the impact caused by the phlegm they experience. In this study developing language teaching and training services using Android-based mobile devices technology by utilizing Google Speech to process sound. Language training applications for Deaf provide a feature to facilitate deaf people in practicing language skills. In the application there are pictures and learning videos that discuss pronunciation pronunciation techniques and techniques to support training and learning. Based on the validation testing that has been done, the results obtained with a percentage of 100%, which means the system has met functional requirements. As for the usability level, the results of the average test are 70.5, with the user acceptance rate stated in the Acceptable, grade C category with a Good rating.
Implementasi Otomasi Kandang dalam Rangka Meminimalisir Heat Stress pada Ayam Broiler dengan Metode Fuzzy Sugeno Abdurrahman Arif Kasim; Rizal Maulana; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

A temperature rise that exceeds the comfort zone leads to heat stress to broiler chickens, where the chicken will experience a decrease in growth, decreased feed, anxiety, increased water consumption and lead to death. The comfortable zone temperature of broiler chickens ranges from 20-25 °C, humidity ranges from 50-70%, and ammonia levels from 0-5 PPM whereas the current temperature problem in Indonesia fluctuates between 29-36 °C. Based on the problem is made automation system to minimize heat stress with Fuzzy Sugeno method. This study using 3 parameters of temperature, humidity, and ammonia from the readings of DHT11 sensors and MQ 135 sensors as input and output of fan speed and water pump dewy scale on the system. To determine the output using Fuzzy Sugeno method. It can be concluded that this system is able to minimize heat stress with the test conducted for 15 days by using 2250 broiler chickens where the death of chickens in cages that do not use this system the number of deaths as many as 93 chickens, and in cages using this system the number of fewer deaths as many as 42 chickens.
Deteksi dan Pengenalan Wajah sebagai Pendukung Keamanan Menggunakan Algoritme Haar-Classifier dan Eigenface Berbasis Raspberry Pi Hernanda Agung Saputra; Fitri Utaminingrum; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One of the things that is inseparable from the progress of technology is security. If we only rely on a security system using human power, it is also not so effective because people also have a sense of tired. Therefore a security support system was created such as barcode, rfid card, PIN, password and etc. However, the use of media that has some security flaws namely can be lost, stolen or damaged, and abused by people who are not responsible. One of the alternatives that can be performed i.e. utilize face as data security. On the research of this system are made using Raspberries Pi 3 were integrated with the Logitech webcam C525 as input, as well as the mikrokontroller Arduino Uno as ultrasonic and light sensor processing. For LCD, buzzer, and module SIM800L is used as the output of the system to provide notification in the form of a alarm,visual text, and SMS. This system uses Haar-Classifier to detect face objects in the image captured by the webcam. Next, Eigenface method is used to get weight of face image. After weight of face image obtained, search the smallest difference in weight of face image of new faces with the image of the face on the database where the results determine how the output from the system. From the results of testing the accuracy of face detection, best accuracy is obtained at a distance of 40 cm with 100% accuracy. Overall accuracy of testing the accuracy of face recognition at a distance of 40 cm is 75%. From system integration testing software with hardware obtained percentage error of 0%. The average time of computation in recognizing a face is 0.11536 seconds.
Pengembangan Stateful Packet Inspection dengan Metode NDPMon untuk Duplicate Address Detection Steven Urbani; Widhi Yahya; Eko Sakti Pramukantoro
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Software defined networking is a new field of research, where the concept aims to replace an inflexible and complex network with an innovative and agile network by separating the control plane and data plane. One of the protocols that can carry the concept of SDN is OpenFlow. Problems about network security that related about gap on conventional network are also occur on the OpenFlow network. One of the network attacks which can be threatening the security of the OpenFlow network is DoS of duplicate address detection, which attackers exploit a gap on IPv6 duplication checking schemes in a local network. Program that can be applied on controller to resolve some security issues in OpenFlow is Stateful Packet Inspection. To resolving the gap, development of the Stateful Packet Inspection can be done to prevent attacks on duplicate address detection processes by adding an NDP checking mechanism using the NDPMon method. There are several tests to test the system's functionality and performance in overcoming gaps in DAD process on the OpenFlow network. From the test results, we obtained that the system can noticed duplicate address detection process and successed to handle three test scenarios for DAD DoS attacks.

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