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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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Analisis Privasi dan Kepercayaan Terhadap Keamanan Data Pengguna Aplikasi On Demand Service Menggunakan Metodologi Structural Equation Modeling Raka Kurnia Novriantama; Ari Kusyanti; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

On Demand Service is a location-based app on smartphones that utilize user data in their operations. On Demand Service users need to share digital information in order to use the available features, but there is no guarantee of security on the matter. It is not known what factors affect the nature of a user in sharing a digital identity. This research is useful to know the factors that influence an individual in the desire to share digital identity on On Demand Service. This research model consists of 7 constructs. Habits, Benefit, Perceived Privacy Risks, Trust, Perceived Control, Previous Experience dan Willingness to Share Digital Identities. In this study will use a model adapted from the research model Sanjib Tiwari and Koehorst. Models obtained from previous research and adapted for the model according to the study. The data analysis in this study comes from questionnaires distributed to On Demand Service users. Analysis using Structural Equation Modeling (SEM). The results show that the Habits, Benefit and Perceived Control variables are the reasons why people have a desire to share digital information on On Demand Service.
Optimasi Vektor Bobot Learning Vector Quantization Menggunakan Algoritme Genetika untuk Penentuan Kualitas Susu Sapi Karina Widyawati; Budi Darma Setiawan; Putra Pandu Adikara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 1 (2018): Januari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Milk has a complete nutrition that important for body so every people can consume milk with high quality. Determination of milk quality can by tools called Milkoscope Julie c2 or Lactoscan to test the chemical contents. That tools can identified the chemical content which includes 7 parameters. From 7 parameters, 3 parameters are provisions of SNI and 4 parameters are not listed in porvisions of SNI. If we determine milk quality only from 3 parameter in SNI, the result is not the best. Based on that problems, we need a system that can help us to determine quality of milk considering 7 parameters. Method that can be used for this problem is Learning Vector Quantization (LVQ) but LVQ need an optimazion method to produce the best weight vector and increase accuracy using Genethic Algorithm (GA). Best weight vector of GA will be used for LVQ training and the latest wight vector of training used for testing. The result of this research obtained the highest accuracy average is 88% with best parameters such as population size 30, crossover rate 0,5, mutation rate 0,5, generation 75, alpha 0,6, and alpha decrement 0,3.
Optimasi Komposisi Makanan untuk Penderita Hipertensi Menggunakan Algoritma Genetika dan Simulated Annealing Agustin Kartikasari; Dian Eka Ratnawati; Titis Sari Kusuma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 11 (2017): November 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Hypertension ranks third largest as a disease that causes early death (Depkes, 2006). One way to prevent and treat hypertension is to modify food intake. But for the layman, arranging the composition of everyday food is still considered difficult. The problem is then solved by a combination of genetic algorithm and simulated annealing. The combination of these two algorithms aims to improve the solutions generated by genetic algorithms and avoid the occurrence of early convergence. At this problem solving used one-cut crossover method, reciprocal exchange mutation, elitism selection, and neighborhood move on simulated annealing. Based on the parameters test, the best parameter values ​​are population size of 1000, the number of generations is 200, the combination value of cr and mr is 0.6 and 0.4, the final temperature (Tn) is 0.2, and the cooling rate of 0.9. While based on system testing conducted can be seen that the combination of both algorithms able to solve this problem because the resulting nutritional content is within the limit of tolerance given by nutritionists is ± 10%
Analisis dan Perancangan Sistem Informasi Pelaporan Pendataan Keluarga Berencana Kabupaten Jombang Pada Dinas Pengendalian Penduduk dan Keluarga Berencana Kabupaten Jombang Dwi Lis Mardiana; Ismiarta Aknuranda; Yusi Tyroni Mursityo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 7 (2018): Juli 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Office of Population and Family Planning Control (DPPKB) Jombang District have a duty to run a program of Family Planning services in Jombang, which is assisted by the Family Planning Field Officers (PLKB). PLKB is responsible for data collection on family planning in every sub-district every month. However, the reporting process was manually, as a result, the process of recording the report is also hampered while the report must be sent to The National Population and Family Planning before the 15th of each month and when it is late DPPKB Jombang district will be marked red and this affects the evaluation of the official performance appraisal. If viewed from the above problems, it required analysis and design of information systems of reporting family planning data collection that can improve the efficiency of the reporting process. In this study, the stages of analysis and design of information systems using Object Oriented Analysis and Design (OOAD) approach and consistency design evaluation in the form of Requirements Configuration Structure and Decision table. This study resulted in the current business process model and the proposal, the list of user needs, features, list of system requirements, use case modeling, system design and consistency evaluation. Evaluation of the consistency from defining requirements generate value requirement consistency index (RCI) of 100%, which means defining the needs of the system is consistent and for evaluation of the consistency of the design artifacts lead to the conclusion that the artifact has been a consistent system design.
Implementasi Metode Artificial Bee Colony - Kmeans (ABCKM) Untuk Pengelompokan Biji Wijen Berdasarkan Sifat Warna Cangkang Biji Enny Trisnawati; Rekyan Regasari; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Sesame is one of the vegetable oil producers which consumption level in the world is expected to continue to increase, along with the many benefits and uses. The selling price of sesame is determined by the quality of the sesame. The indicator that can be used as a hint of the quality of sesame is the color on the seed shell. One of the efforts to produce the best quality sesame is by crossbreeding between cultivars that produce the color of the sesame seeds that vary, so it needs to be grouped by the closeness in color. Several ways that previous researchers have done to classify sesame seeds such as qualitative and quantitative methods. Currently, there are 3 models of quantitative methods for the sesame seeds grouping which are IWOKM method, PSO-K-Means and GA-KMeans which the result of data grouping is quite good. ABCKM method that were used in this research which is the combination of KMeans method (KM) and Artificial Bee Colony (ABC. The performance of ABCKM will then be compared with KM, IWOKM, PSO-K-Means and GA-KMeans methods.Based on the result of comparison test of method, ABCKM method proved better than KM method and the previous method: IWOKM, GA-KMEANS and PSO-K-Means in grouping the sesame data. This result proved by the average value of fitness and silhoutte coefficent when using ABCKM method better than KM, IWOKM, GA-KMEANS and PSO-K-Means. The result of the ABCKM method grouping is the same as the previous method C1: C2 = 233: 58, so method in this study can be used as an alternative method for sesame seed grouping based on color of seed shell.
Implementasi Wireless Sensor Network pada Pemantauan Kondisi Struktur Bangunan Menggunakan Sensor Accelerometer MMA7361 Era Imanningtyas; Sabriansyah Rizqika Akbar; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 7 (2017): Juli 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Building is one of the most important facilities and infrastructure in human life. Therefore, when a building is damaged whether it is caused by a natural disaster that can not be predicted or the age of the building itself will have a profound effect on human life. To overcome this problem is by applying wireless sensor network to monitoring the vibration response of building a structure using MMA7361 accelerometer sensor, Arduino Uno microcontroller, nRF24L01 transceiver module, Personal Computer (PC) and Delphi 2010 monitoring application. So it can be easier, compact and low power, but can collect all the information in the form of vibration acceleration data obtained from each client node sent to the node server periodically and displayed graphically as well as the value of vibration acceleration data on the Personal Computer (PC) using Delphi 2010 monitoring applications, without the user must monitor the intended object directly. As a result, each node client is able to transmit vibration acceleration data obtained from several types of wooden, plywood, and concrete structure structures to the server nodes. Thus, the data obtained from the type of wooden structure has an average of vibration acceleration sampling data of 6,1 m/s2. The plywood building structure has an average value of vibration acceleration sampling data of 116 m/s2. Meanwhile, the concrete structure has an average of vibration acceleration sampling data of 0 m/s2. All tested in one hit test.
Peramalan Siaga Banjir dengan Menganalisis Data Curah Hujan (ARR) dan Tinggi Muka Air (AWLR) Menggunakan Metode Support Vector Regression (Studi Kasus: Perum Jasa Tirta I) Laila Diana Khulyati; Muhammad Tanzil Furqon; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Flood is a natural disaster that used to be general cause and hard to predict when it will happened. So far, the cause of flood is there's process when rainfall and waterlevel is rise, so there's required some research to do a monitoring on flood alert. From that point, system is required to be able to forecast and make it easier to analyze flood alert status in a future. To forecast a future results, there is a method that based on the availability of raw data, also with statistical analysis technique called regression method. Regression method that used in this research is Support Vector Regression. This SVR method is frequently used in forecasting, but not many of them use rainfall and waterlevel data in a same time. The purpose of this research is to do flood alert forecasting in Kambing Station DAS Brantas. The results represent flood alert forecasting at December 2016, with waterlevel data resulted minimal value of 9.584849544 in error rate and rainfall data resulted minimal value of 10.52259887 in error rate. By using values of parameters = 0.09, = 0.005, = 0.2, = 0.08 and = 0.08. Both data resulted flood alert forecasting that shows Normal.
Implementasi Metode Particle Swarm Optimization-Dempster Shafer untuk Diagnosa Indikasi Penyakit pada Budidaya Ikan Gurami Faris Dinar Wahyu Gunawan; Edy Santoso; Lailil Muflikhah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Knowledge of fish breeders of the type of disease that can attack on gouramy fish at the time of cultivation is very small. Prediction indication of disease on gourami fish is an important thing to the succes of cultivation. Prediction of disease obtained from the facts that exist in the cultivation process. Dempster shafer is one of the techniques of artificial intelligence used to predict based on interrelated facts. Dempster shafer method is often used because it is quite easy to implement algorithm. However, the performance of dempster shafer is very dependent on the girlfriend who has a connection with the problem. So, if there is a new fact must first consult to experts. In addition, Dempster shafer does not guarantee specific prediction results because interrelated facts are often general. One approach that can be used to overcome this problem is to apply Particle Swarm Optmization method. Particle Swarm Optimization explores the search space to find initial density values based on particle cost values. . Where the Particle Swarm Optimization method is used to generate density values, and Dempster Shafer as a conclusion of disease indication. In this study using hybrid Particle Swarm Optmization-Dempster Shafer for diagnosis of disease indication on gouramy fish culture. The results obtained from the output of the system with experts achieve 86,5% results.
Sistem Rekomendasi Lowongan Pekerjaan Untuk Fresh Graduate Menggunakan Metode Weighted Product Berbasis Android Dwi Astuti; Aryo Pinandito; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Recommendation System is a software or technique that provides suggestions for items or objects which can be used for some users. That recommendation is related with any decision making process, such as items that would be chosen, etc. In this research, recommendation system will be used to decide which job vacancies that match with user's criteria. Currently, there are many websites that provide job vacancy's information, but it's still difficult to find system that can recommend any job vacancies that match user's criteria yet. A recommendation system was made which use one of Multi-Criteria Desicion Making (MCDM), Weighted Product method. Criteria that are used for this method are last education or degree, GPA, age, English skill, and days remaining before the vacancy closed. Meanwhile, data that are used as alternatif are job vacancy's data which obtained from job vacancy's websites and some brochure, To use this system, user only need to choose criteria that match with user's criteria. The output that are diplayed by this system are job vacancies list which already be sorted based on the method's calculation. User can also see job vacancy's information more detailed. The result from accuration test that had been done is 17,5%. Keywords: recommendation, system, job, vacancy, weighted, product
Deteksi Zebra Cross Pada Citra Digital Dengan Menggunakan Metode Hough Transform Fitria Indriani; Fitri Utaminingrum; Yuita Arum Sari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 6 (2018): Juni 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The high number of accidents that injure pedestrians while crossing is caused by motorists who are less cautious. Accidents of course undesirable can be prevented and minimized the culture of orderly traffic one by using facilities such as zebra cross. In this research, we propose the process of zebra cross detection on digital image using Hough Transform method, in order to be implemented in smart vehicle navigation system in identifying zebra cross in order to increase equality of both riders and zebra cross users. The zebra cross detection process starts from pre-processing, which consists of grayscaling process, mean filtering, dilation, and histogram equalization, for our edge detection using the next stage canny method is the image inversion which aims to change the pixels of white to black, and vice versa. Then for line detection on zebra cross using hough transform method. Based on the test, the highest accuracy value when the 100 threshold value on the first morning condition test data is 95.2%. The result of testing the variation of the structure element obtained the maximum results with the use of rectangle has the highest accuracy value of 95.2% compared with the use of other structure element form. In the result of testing edge detection sobel has the highest accuracy value of 92.8%.

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