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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 125 Documents
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Search results for , issue "Vol 3 No 2 (2019): Februari 2019" : 125 Documents clear
Implementasi Connected Component Labeling untuk Deteksi Objek Penghalang Bagi Penyandang Tunanetra Berbasis Raspberry Pi Ida Yusnilawati; Fitri Utaminingrum; Mochammad Hannats Hanafi Ichsan
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

Blind is a condition where the both senses of sight do not work to receive information like the alert person, that's why it needs auxiliary tool like stick to carry out daily activities. However, the stick still has a deficiency too that can only be used to touch objects or obstacles with a limited range. One of technologies that enables blind people in carrying out daily activities is to use computer vision for processing of digital image that can detect a barrier object when a blind person walks in the room. This system uses a webcam camera as a censor attached in front of the user's chest at a height of 110cm and a camera tilt of 41áµ’, so that it can take the image in front of the user up to 125cm. The detection process of this barrier object is done in several steps, such as resizing the image, cropping, then thresholding. This thresholding process utilizes values from the RGB image of floor. To get a blob in the image uses connected component labeling 4 connectify used to label pixels. Pixels that have been labeled will be analyzed to be able to detect barrier object. From the study that has been done by the system, it can detect barrier object with accuracy of 91,66%. The result of study for accuracy of system integration with hardware is 98.33%, and the average time of system computing is 166.15 ms.
Klasifikasi Minyak Goreng Berdasarkan Frekuensi Penggorengan Menggunakan Metode K-Nearest Neighbor Berbasis Raspberry Pi Linda Silvya Putri; Fitri Utaminingrum; Tibyani Tibyani
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

Cooking oil is often used by the people as stapel for frying food ingredients. There are several types of oil, one of which is vegetable oil. Vegetable oil contains essential fatty acid which has function to prevent constriction of blood vessel that will effect accumulation of cholesterol. The cooking oil used repetitively can cause various diseases. The cooking oil used repetitively will make the double bonds of oxidized oil, and form peroxide groups and cyclic monomers, and will contain trans fatty acid. From these problems, it is necessary to have a system that can classify frequency of the use of cooking oil. In this study, the parameters studied in cooking oil are from color and turbidity. To determine classification of the frying frequency in cooking oil, for color detection of R (Red), G (Green), B (Blue) is obtained from the results of raspberry pi camera readings, and for turbidity is obtained from LDR (Light Emitting Diode) readings by Raspberry Pi 3 by using the KNN (K-Nearest Neighbor) method. From the results of study, it is known that the percentage of accuracy from R (Red), G (Green), B (Blue) readings on a raspberry pi camera with TCS3200 censor is R = 98.102%, G = 98.072%, B = 96.732%. In study of system using the KNN (K-Nearest Neighbor) method with 72 training data and 30 test data, is obtained an accuracy K=1, K=3, K=5 73.33% with an average time computing system of 3.9 ms.
Pengembangan Sistem Simulasi Perkiraan Penyebaran Api Pada Gunung Arjuno Kawasan Tahura R. Soerjo Menggunakan Tangible Landscape Adhi Isti Febriandhika; Fatwa Ramdhani; Alfi Nur Rusydi
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

Forest fires is a condition where forests are hit by flames, causing damage of forests and or forest products that causes economic losses and environmental value. May occur naturally or prescribed, and until now the spread of fire during forest fires has not been predicted with certainty, because there is a lot of variability in fire triggering factors. East Java is a Province in Indonesia that often occurs forest fires. One of the forest areas that often occur forest fires in East Java Province is Tahura R. Soerjo area, and forest fires are one of the most difficult issues handled by Tahura R. Soerjo in managing forest areas. Until now the technology to overcome the problem of forest is still very minimal. The Tangible Landscape method can be used to simulate the possibility of spreading fire that occurs in real-time. By using Tangible Landscape and GRASS GIS, multiple fire simulation scenarios can be performed, and experimenting the determination of making different fire breaks on physical models to evaluate their effectiveness in overcoming the spread of fires. In this study the level of conformity of physical models with actual elevation data in the study area was 30% at maximum values and -28% at minimum values. The simulation process of estimating the spread of fire in this study produces data on the pattern of spread at a certain time according to the specified time and produces a data base rate of spread of 1.18 meters / minute, the maximum rate of spread is the highest of 403.99 meters / minute and the lowest amounting to 5.57 Meters / Minute, the direction of maximal rate of spread that spreads to 19 to 316 degrees in units of degree of wind direction, and maximal spotting distance of 0 to 303 meters.
Pengukuran Tingkat Kematangan Tata Kelola Teknologi Informasi Pada Dinas Komunikasi dan Informatika Kabupaten Lamongan Menggunakan Framework COBIT 4.1 Domain Plan and Organise (PO) dan Acquire and Implement (AI) Moch. Fadel Satrio; Suprapto Suprapto; Aditya Rachmadi
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

Dinas Komunikasi dan Informatika Kabupaten Lamongan is regional equipment organization (OPD) which is have scope in communication and informatics with responsibility for providing services to the community for transparent and accountable governance. Along with the use of information technology that is increasing by government institutions, Good IT Governance is required in accordance with Peraturan Menteri Komunikasi dan Informatika Republik Indonesia Nomor 41 Tahun 2007. Based on the results of interviews, the implementation is still not optimal with standard operational procedure (SOP) that are not yet available. Beside that, the maintenance of system/application is doesn't planned. Therefore, the purpose of research to knowing maturity level of IT Governance in the institution using COBIT 4.1. The domains used are Plan and Organise (PO) and Acquire and Implement (AI). Based on the results of research obtained an average value maturity level of each domain. PO domain have value 1,52 and AI domain have value 1,42. To increase the value, so given recommendation can be applied institution. Some recommendations are make document of strategic IT Plan, set procedure, tools and technique about development of information system architecture standardized.
Pengembangan Sistem Informasi Aspirasi Online Berbasis Web Menggunakan Pemodelan Reuse-Oriented Development (Studi Kasus : DPM Universitas Brawijaya) Ali Fikri; Ismiarta Aknuranda; Fajar Pradana
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

As a legislative institution, DPM UB has a function to advocate for aspirations delivered by students or other institutions in the structure of LKM UB. However, the lack of service delivery and absorption of aspirations that were implemented resulted in a lack of aspirations received, resulting in an underperformance of the organization. To make it happen, it is necessary to implement good student governance in order to optimize the services provided. Based on these problems, an information technology instrument is needed, namely by developing an online aspiration information system. The approach method used is a reuse-oriented development model to obtain higher quality and productivity during the development process. The steps taken in the study are literature studies, business process modeling, requirements analysis, component analysis, requirements modification, design using components, implementation, testing and analysis. For system development purposes, were produced 2 as-is business process models, 1 to-be business process model, and generate 10 use-case system. The system validation test results stated 100% valid, the average results of compatibility tests were 89%, the results of user acceptance tests were 81%, and the results of the time efficiency test were 84.4%. So from these results, it can be concluded that the use of information technology developed using reuse-oriented methods can be accepted and have a positive impact on LKM UB.
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.

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