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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.
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Articles 50 Documents
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Search results for , issue "Vol 2 No 4 (2018): April 2018" : 50 Documents clear
Analisis Faktor-Faktor Yang Memengaruhi Pengguna Snapchat Membagikan Video Dengan Menggunakan Structural Equation Modeling Khusnatul Mukaromah; Ari Kusyanti; Andi Reza Perdanakusuma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Snapchat is one of the social media that have main feature when user can share videos and photos a few seconds on home they are then automatically deleted after 24 hours. Bloomberg reports that collected Kompas Tekno in June 2016 each day as many as 150 million users using filter photos or video at snapchat, and experienced a rise from the previous years 110 million to 140 million active users daily. Every day, users share video live their activities on othe users snapchat as well as providing some personal information while signing up for an account on snapchat such as name, email, and phone number. Currently many users who give too much information on sosial media because they do not care about the privacy and security on the sosial media used. Therefor, the objective of this research is to analyze the factors that effect the users share their live video on snapchat using 10 latent variable and 1 variable secondary order. The data were analyze, collected from respondents is 282 active users snapchat. Data from respondent were analyze using method analyze Structural Equation Modelling (SEM).
Implementasi Metode Ensemble K-Nearest Neighbor untuk Prediksi Nilai Tukar Rupiah Terhadap Dollar Amerika Rezza Hary Dwi Satriya; Edy Santoso; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The exchange rate is the currency unit price agreed by each country as a means of payment or transaction. The most used exchange rate in Indonesia is the rupiah exchange rate against the dollar. The dollar is the most stable currency in the economy. The high or low of the rupiah exchange rate is influenced by rates of interest, inflation, exports, imports, and sovereign debt. The exchange rate also has an important role in determining economic policy. In order to obtain an appropriate economic policy in the future situation and conditions, it is necessary to use a solution by using Ensemble kNN algorithm to predict the future rupiah exchange rate. The count of data was used in this research are 24 data training and 12 data testing. The data training and testing consists of 5 parameters, such as BI rate, Inflation, Export, Import, and sovereign debt. The Ensemble kNN algorithm uses a supervised learning, which the data testing is classified based on the majority of classes on kNN. The principle of kNN is to find the K variable from the data training which having closest similarity to the data testing. Ensemble technique is used to optimize kNN algorithm to get more accurate result. The result from this prediction system was evaluated by using MAE, MAPE and RMSEP. The obtained value of MAE buy = 456.56, selling MAE = 460.96, MAPE buy = 3.47%, MAPE selling = 3.47%, and RMSEP buy = 534.88, RMSEP selling = 540.07. The final result is the conformity of result and the pattern which produced between the predicted data and the actual data.
Optimasi Menu Makanan Bagi Pasien Gagal Ginjal Menggunakan Algoritme Lebah Yeni Herawati; Wayan Firdaus Mahmudy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Kidney failure is a chronic metabolic disease that becomes a health problem in the world. Patients with kidney failure should have a special diet to control their diet and keep the kidney damage from getting worse. Diet to help patients improve eating and sports habits to gain better metabolic control. Patients should limit what foods can be consumed. This causes the patient to really pay attention to the food menu. To solve the case requires a bee algorithm. This study used 132 lists of foods with nutritional content (protein, carbohydrates and fats). The algorithm process uses an integer representation of length 15 which the resulting number represents the food index. From the test, we get the optimal parameter of 100 individuals with the average fitness value of 0.107823, 100 iterations with the average fitness value of 0.103334. The results of this study are the composition of the food menu in a day (breakfast, lunch and dinner) at a minimal cost.
Klasifikasi Penyimpangan Tumbuh Kembang Anak Menggunakan Metode Extreme Learning Machine (ELM) Makrina Christy Ariestyani; Putra Pandu Adikara; Rizal Setya Perdana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Growth and development of children at an early age affect the child's personal ability in the future. Every child is unique, so growth and growth are not the same. Slow growth and development are often considered normal. Deviation of late child growth is known to result in long-term and difficult to repair. Based on these problems, this research was conducted by using the Extreme Learning Machine (ELM) method for the classification of child growth deviations. ELM method consists of training process as system learning and testing to obtain the result of classification. The parameters test are test of ratio of training data and test data, testing the influence of number of hidden neurons over time, and comparative test of activation function. Accuracy calculation is done by using confusion matrix to know the accuracy of system work in each class. The result of parameter test shows that the ratio of training data and test data with ratio 70:30, the number of hidden neurons as many as 10 units, and the binary activation function is the parameter with the best accuracy value. The comparison of the result of the classification of child growth deviation with the help of psychologist shows that the system produces poor accuracy. This can be due to the small and unbalanced data used for the research.
Implementasi Multi - Channel Pada Wireless Sensor Network Ariyan Jazmi; Sabriansyah Rizqika Akbar; Edita Rosana Widasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wireless Sensor Network is a technology used in obtaining data from physical conditions or environmental conditions with the help of sensors. Wireless Sensor Network consists of several nodes that will transmit data on the Gateway node. Wireless Sensor Network communication requires the same Channel to connect between nodes. Problems with the Wireless Sensor Network if the area is monitored widely and the nodehas multi- channels will require a lot of Gateway nodes according to the number of channels. Wireless Sensor Network communication like this is less concise and requires extra funds. Based on the problems mentioned in this research applied Wireless Sensor Network communication with multi-channel. Multi-channel will improve the performance of data transmission so that on the Gateway nodethere are several channels for communication with the node. The method in this study is another SPI (Serial Periperal Interface) on the node, I2C on the Gateway node. The results of Wireless Sensor Network communication with Multi-Channel method can improve the delivery and data reception performance. The node address specification has an important role in multi-channel communication to perform channel switches in receiving data on the server. Data obtained by the server successfully received at the same time, but it takes approximately 2 - 4 seconds of synchronization at the beginning communication.
Evaluasi Kualitas Layanan Informasi Website Universitas Brawijaya Terhadap Kepuasan Pengguna Menggunakan Model E-S-Qual dan E-Recs-Qual Mochammad Valdi Fuadi; Ari Kusyanti; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Brawijaya University website information service is an important aspect for Brawijaya University in providing information to its users. The concept of good quality of information services and according to user needs will affect user satisfaction and perceived value. This research uses conceptual model from E-S-Qual and E-Recs-Qual to measure the quality of website information service of Brawijaya University and to know the effect of the model on user satisfaction and perceived value. The measurement of the quality of Brawijaya University website information service uses 8 variables from E-S-Qual and E-Recs-Qual including Efficiency, System Availability, Privacy, Fulfillment, Web Appearance, Personalization, Responsiveness, and Contact. This study also provides recommendations using the ISO / IEC 9126 standard. This study uses the population of Brawijaya University students with a sample of 310 respondents. Methods of data collection of this research is by distributing questionnaires to respondents. Correlation analysis techniques and correlation strength between latent variables or constructs using Structural Equation Modeling (SEM). The results showed that the variables system availability and contact is a variable that has no effect on user satisfaction and perceived value due to these variables produce a critical ratio value of less than 1.96 at the stage structural fit model.
Implementasi Metode Fuzzy Sugeno Pada Embedded System Untuk Mendeteksi Kondisi Kebakaran Dalam Ruangan Rezak Andri Purnomo; Dahnial Syauqy; Mochammad Hannats Hanafi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Fire is an event caused more by human error. In this final project there are 3 sensors namely MQ-2 sensor, DHT11 sensor, and flame sensor connected with Arduino Mega 2560 microcontroller. Arduino Mega 2560 Microcontroller embedded fuzzy sugeno logic as the output decision based on fuzzy calculation. There are 3 fuzzy processes, namely fuzzification process, inference process, and defuzzification process. Fuzzification process using 3 variables are smoke, temperature, and fire variables. Each variable has a fuzzy membership set. Variable smoke has 3 set that is tenuous, medium, and concentrated. Variablel temperature has 4 set that is cold, cool, warm, and hot. Variable fire has 4 sets that is close to the sensor, rather close to the sensor, away with the sensor, and no fire. Defuzzification process using the MIN-MAX method, then each variable output conditions will be searched for the largest value (MAX). From the test results, the system can determine the various conditions of the room with 100% accuracy. The average system execution time is ± 417.4 ms. In fuzzy testing obtained percentage of success of 100%. This indicates that the system can work well in determining the condition of the room based on the input of the sensor. Keywords: fire, sensor MQ-2, DHT11 sensor, flame sensor, arduino mega 2560, fuzzy sugeno
Penerapan Metode K-Means-ACO Untuk Pengelompokan Biji Wijen Berdasarkan Sifat Warna Cangkang Biji Pangestu Ari Wijaya; Rekyan Regasari Mardi Putri; Dian Eka Ratnawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Sesame is one kinds of the groceries that produce vegetable oil. Nowadays, the needs of sesame is increasing so it is necessary to pick a good quality in producing sesame. To conduct sesame plants crossing, the color of sesame seed shell is very infuential on its quality. Several previous studies used in this research has been done to cluster sesame seed with qualitative and quantitative method. The qualitative method in this research is conducted by field observation while the quantitative method is conducted by processing the sesame data from measurement result by using chromameter which resulted of an L*, a* and b* color. Several previous studies has successfully done the clustering by using qualitative method namely IWOKM, PSOKM and GAKM method. This study will categorize and compare the result of sesame data with same of data by using K-Means-ACO method with the previous method. From several journals, the method is proved that K-Means-ACO method has optimal results because in the analysis step combined the optimization and clustering algorithm method. Based on the test results of the K-Means-ACO method compared with the previous method, the good result of clustering sesame seed based on the color of the seed shell. It is proven by the grouping result is 233:58. After all, this research could be concluded that the K-Means-ACO method could be used as the alternative method to conduct the sesame seed classification based on its seed shell color.
Pengembangan Sistem Informasi Pencatatan dan Pemantauan Distribusi Surat Masuk dan Surat Keluar dengan Pendekatan Berorientasi Objek (Studi Kasus : Detasemen A Pelopor Satbrimob Polda Jatim) Wika Vidi Aryasworo; Ismiarta Aknuranda; Djoko Pramono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Detasemen A Pelopor Satbrimob Polda Jatim is the operational executive element in Satuan Brimob Polda Jawa Timur which is handling over high intensity security disturbance. Like an organization, Detasemen A Pelopor Satbrimob Polda Jatim has letter management activities. During this time the management of the letter in Detasemen A Pelopor Satbrimob Polda Jatim is still manually, causing some problems is difficult to do search for mail data, it is difficult to recap the letter data as a report. Besides it can not. From this it is necessary to improve the recording and dissemination activities of letters that have been running at this time by developing an Information System of Recording and Monitoring Distribution of Incoming and Outgoing Letter (SIPPDS) which can make it easier to record, store, search, reconcile letter data, and The task of mailing process on each part. In developing SIPPDS, researchers used a waterfall model, with an approach. The results of the research show on the design diagram, diagram, physical data model, and interface design. In the database. And MySQL database. While on a device that can be used properly, and try the compatibility that shows the system can be used properly on 9 types of web browsers.
Implementasi Logika Fuzzy untuk Purwarupa Pengkondisian AC dan Lampu Otomatis pada Sebuah Ruangan Nana Amalia Mulia; Mochammad Hannats Hanafi; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

As the year increase, the demand for electricity increase. Every building either mansion or house mostly has electronic equipment, such as light. Besides, AC is quite expensive of electronic equipment which the electrical power required is quite large. Electronic equipment certainly requires electrical energy. However, it usually only uses the on-off principle. It is certainly can reduce the lifetime of equipments, waste the electrical energy, and cause the room temperature condition become uncontrollable. In this study made conditioning system of automatic AC and light using Fuzzy Sugeno logic. The system using input of light from LDR sensor, temperature and humidity from DHT11 sensor, and movement from PIR HC-SR501 sensor. Next, using Arduino Uno microcontroller to process and the result is numeric which displayed on LCD. Design of Fuzzy logic consist of fuzzification, which is forming Fuzzy set of input variables, inference is the step to forming set of rules, and defuzzification is the step to determine the results. Implementation of Fuzzy logic consist of made program code to calculate the membership degree from input variables of light, temperature, and humidity, next, program code to find α-predicate value of each rules, and the last, program code to find z value which done twice, for AC and light condition. The success rate of Fuzzy logic is done by comparing the output value of system with MATLAB. The accuracy average of AC output is 97.21%, while the light is 93.75%.

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