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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 201 Documents
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Search results for , issue "Vol 2 No 12 (2018): Desember 2018" : 201 Documents clear
Implementasi Algoritme Kriptografi Lizard untuk Mengamankan Pengiriman Data Menggunakan Arsitektur Web Service REST pada Mikrokontroler NodeMCU Kalbuadi Joyoputro; Ari Kusyanti; Fariz Andri Bakhtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

There are three elements of security, which are data confidentiality, data integrity, and data availability. This research focuses data confidentiality on NodeMCU microcontroller device in an IoT environment. Relatively small NodeMCU processor and dynamic memory becomes a challenge in fulfilling the data confidentiality. Lizard stream cipher algorithm is implemented on NodeMCU. The JSON (JavaScript Object Notation) data will be encrypted into a cipher text using the Lizard algorithm keystream before being sent to the database server over the wireless wifi network. On the server side, the data will be decrypted into its original form and stored into the database. The process of sending data uses the REST (Representational State Transfer) web service architecture. There are four parts of testing to ensure the system has been running well, that is test vector validation testing, functional testing, time and memory performance testing, and security testing. The 216 and 352 bit keystream generated on NodeMCU devices takes 0.01 seconds and 3.4% of total dynamic memory, while encrypting 216 and 352 bits plain text takes 0.02 and 0.04 seconds with 0.3% of total dynamic memory. Implementation of Lizard algorithm has successfully guaranteed the data confidentiality.
Sistem Pendukung Keputusan Kelompok Untuk Penilaian Kinerja Unit Perusahaan Menggunakan Metode TOPSIS dan Borda (Studi Kasus: Perum Jasa Tirta 1 Malang) Alysha Ghea Arliana; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Performance appraisal on company units is a process of assessment of the ability of a group unit members in completing tasks in order to determine the level of success achieved by the unit. However, the assessment of the performance of the company units conducted in Perum Jasa Tirta 1 Malang is still conventional, causing the assessment process to take time. In addition, in assessing the performance of a company units involving several people because each person will have different assessment weight. Therefore, a system or model is required to facilitate the assessment of the company's unit performance that is group decision support system using TOPSIS and Borda method. TOPSIS method used for decision making on the assessment of the performance of the company units performed by each decision maker. Borda method used for group decision making from the results of each decision maker. Based on the tests performed, the test scenario 1 result the highest or best accuracy is 81% with the best weight in the combination of 4,5,6 while the test scenario 2 with the best weight on all combinations is 83%.
Rancang Bangun Pengendali Pintu Gerbang Tol Dengan RFID Menggunakan Logika Fuzzy Muhammad Raihan Al Hakim; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Congestion that occurs at the toll gate is due to the increased volume of vehicles that cannot be accommodated by the road capacity and the payment system that is running is unable to overcome the congestion. Based on this, a system developed that helps efforts to minimize congestion at toll gates using the Fuzzy method. As an observer of the density condition, Ultrasonic sensor is used, as a payment instrument as well as the vehicle size reader used RFID RC522, the system output is used by the servo as the toll gate and then processed in the Arduino Mega 2560 microcontroller. the min implication process and Fuzzy system inference are max, from the inference stage followed by the defuzzification process and obtained a strict value for servo in determining the duration of the opening of the toll gate. In testing, the Ultrasonic sensor has the same measurement in measuring distance using a ruler. RFID as a system interface produces fast reading accuracy and has a maximum reading distance of 1 cm. The system output has a difference in the difference in servo position degree measurement with manual measurement of 2.4 degrees and an error of 3.766%. After the system is implemented, the results of the system calculation are then compared with the sample data obtained from several experiments, overall the calculation of Fuzzy logic on the opening time of the toll gate has an error percentage of 4.189%.
Implementasi Metode Fuzzy - Tsukamoto Untuk Diagnosis Penyakit Pada Kelamin Laki Laki Yusuf Ferdiansyah; Nurul Hidayat
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Venereal disease is a disease that strikes in the genital organs of male or female which usually brings in through sex or oral sex. Venereal disease has long been scattered in several countries, one of them in Indonesia. Venereal disease has become so important that discussion after the AIDS disease cases arise which cause a large number of victims died. Venereal disease can be transmitted from one person to another through sexual contact. In Indonesia, the sexually transmitted disease that is most widely found is syphilis and premenstrual syndrome, the prevalence of sexually transmitted diseases in Indonesia is very high in Jakarta found prevalence of premenstrual syndrome 29.8% 25.2% and syphilis, chlamyd He was 22.7%. Tsukamoto Fuzzy method is a method that has a tolerance on the data and very flexible. The advantages of the method are namely Tsukamoto is intuitive and can give feedback based on information that is not accurate, qualitative, and ambiguous. On the methods of Tsukamoto, each Rule is represented by a set of Fuzzy membership functions with a monotonous called fuzzifikasi. As a result, output the result of each Rule in the form of value of the firm (crisp) based on α-predicate or the minimum value of each Rule and the value of z. end result is obtained by performing a weighted average defuzzifikasi. In this research the required variable is a list of symptoms and venereal disease in men is accompanied by a weighted. This research resulted in an average accuracy rate of 81.67% system.
Implementasi Metode Naive Bayes-Certainty Factor Untuk Diagnosis Penyakit Pada Kelamin Laki-Laki Bayu Febrian Putera Ammal; Nurul Hidayat; Suprapto Suprapto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Sex has become the most basic instinct of every creature in this mother Earth. Sex is essential to survive a life as in preserving the species' generation. However, the lack of sex education leads into a free sex lifestyle. This jeopardize lifestyle has increased these years with its sexually transmitted disease as one of the following risks. Sexually Transmitted Disease (STD) which are infecting men and can be contagious to other people includes Gonorrhea, Syphilis, Herpes, HIV/AIDS, and Human Papilloma Virus (HPV). Thus, symptoms can be an indicator to discover what disease which infect the human's body. However, some sexually transmitted diseases have similar symptoms that might lead in a wrong first aid for the patients themselves and ironically result in the severity of that disease. Besides, a wrong first aid will cause the disease to be more contagious especially to that patient's intimate partner as well. Therefore, Naive Bayes-Certainty Factor is needed to reduce the misdiagnosed. This study used Naive Bayes-Certainty Factor method in diagnosing the STD in men. The analysis was done by comparing the results of the system diagnosis with the expert diagnosis. From 35 data testing, the result showed that there was 85% of the accuracy in diagnosing Men Sexually Transmitted Disease by using expert diagnosing system with Naive Bayes-Certainty Factor method.
Sistem Pengenalan Peralatan Elektronik Dapur yang Terhubung pada Stop Kontak Menggunakan Metode K-Nearest Neighbor (K-NN) Rizka Ayudya Pratiwi; Dahnial Syauqy; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The use of electronic devices that are used excessively and uncontrolled by the tenants in a boarding house will certainly have a negative impact on the owner side in terms of economy. Many of the board owners who provide rules to not use some additional electronic equipment such as electronic kitchen equipment and when used it will incur additional costs. But the regulation is also much violated by the tenant without the knowledge of the owner of the boarding. In this study designed a system to find out what kind of electronic kitchen equipment plugged into electric socket to facilitate the monitoring of electrical appliances. The system designed using the K-Nearest Neighbor (K-NN) method as its classification method, NodeMCU as the system's main controller and YHDC SCT-013-100 sensor as the current reader sensor. The system will classify the kitchen utensils of rice cooker, blender, juicer, heater and mixer based on the total current parameters out of the socket. The five equipments are classified on 3-hole so resulting in 10 classes in their classification. Furthermore, the current data obtained will be sent to NodeMCU to perform the classification process using K-Nearest Neighbor (K-NN) method. Results from the classification are then sent on Android smartphone. Based on the test results obtained percentage of 90.00% with a value of k = 1. The system can classify kitchen devices that are in use and require an average time of 10072.2 ms to perform data acquisition and require an average time of 12.4 ms for classification.
Optimasi Penjadwalan Shift Jaga Dokter di IGD Menggunakan Algoritme Genetika (Studi Kasus Rumah Sakit di Malang) Annisaa Amalia Safitri; Imam Cholissodin; Lailil Muflikhah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Emergency room (ER) is one of the units in a hospital who the first of receiving patients in case of an emergency. In ER, there are doctors who should be available for 24 hours to deal with patient who come everytime when an emergency form happen. To keep the performance of doctors who working 24 hours in ER, then we make a schedule that use with shift system. For 1 month scheduling, 11 doctors will split into 3 shift work in a day. In order to optimize and make the best combination in doctor's schedule at ER, then made the doctor's scheduling system in a ER using genetic algorithm. Reproductive process using 2 ways, first the process of crossover by using extended intermediate crossover and second the mutation process by using a reciprocal exchange mutation, and then will use the last process of algorithm and the name is elitism selection process. Testing that is used for doctor's scheduling system in a ER is there are 3 types of testing. The first test is testing the number of popSize, with the highest fitness at a value of 40 with an average of 1,766, the second test is testing the value of generation with the highest fitness at generation value 40 with an average value of fitness 1,608, and the last test is combination of cr mr with the highest fitness value on a combination of 0,7 and 0,3 with average fitness 2,064. From those results, do more testing to compare the fitness value of fitness values of the system with real data provided by the hospital. And the results show that the value of fitness of the system = 11,111 is greater than the value of the data on real fitness given hospital = 7,692.
Sistem Deteksi Dan Perhitungan Otomatis Bakteri Salmonella dengan Pengolahan Citra Menggunakan Metode Object Counting Lashot Ria Ingrid Melanika; Hurriyatul Fitriyah; Gembong Edhi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Salmonella is one of the pathogenic bacteria that can cause disease in human digestive tract. The microscopic size makes the Salmonella bacteria invisible without the aid of a microscope. Detection and calculation of bacterial colonies during microscopic observations are still done manually until now. Therefore designed a system that can detect and perform calculations on Salmonella bacteria colonies automatically using the method of color segmentation and object counting. Samples of Salmonella bacteria isolated from chicken meat were made on glass preparations and gram staining was done to make it easier to observe. Bacteria shooting is using the camera on a digital microscope with a resolution of 5 mega pixels. The first process in image processing is image enhancement, then converting RGB image to HSV image. After that performed closing morphological operation, then bacterial colonies were calculated by object counting method. The processing of image processing algorithms is performed on MATLAB, and the system will be displayed on an interface to make it easier for user. The accuracy of input and image information to obtain results with successful status. The average time required during the execution of the system is 4.59 seconds, and the accuracy of detection and calculation of the number of bacterial colonies has an accuracy by 80.81%.
Implementasi Wearable Device Untuk Klasifikasi Postur Keadaan Tubuh Berbasis Data Sensor MPU6050 Menggunakan Metode Naive Bayes Vira Muda Tantriburhan Mubarak; Dahnial Syauqy; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Body posture condition is a body condition or body position of someone when do several kind of activities, for example sit, stand, walk, etc. Marking toward posture is very important in health aspect. Except for health, a body condition can be used in various things too, one of the example is in loT (Internet of Things), when body condition can controls electronic devices in house. Because of that, it needs a study of a system to clarify a body posture condition. In this study, the system is made in wearable device form, where the system can be paired to someone's body easily. Parameter which used for detect the body posture condition is a angle and acceleration in some body points that are chest, right thigh, and left tight. The parameter value be obtained from reading three sensors MPU6050 and be processed with Naive Bayes method in Raspberry Pi Zero W microcontroller. Naive Bayes is chosen as a method to clarify because Naive Bayes is a clarify method which has high accuracy and has fast computation performance. The system also can send the result to android application through Bluetooth protocol and the result can be shown in the application. From the result of system trial can be known error presentation of sensor reading MPU6050 is 1,392%. After that, the researcher also do trial system of Naive Bayes accuracy with 55 practice data and 28 trial data, from the trial, it found 100% accuracy with time computation during 4,178 ms (miliseconds).
Implementasi Fuzzy K-Nearest Neighbor (FK-NN) Untuk Mengklasifikasi Fungsi Senyawa Berdasarkan Simplified Molecular Input Line Entry System (SMILES) Raden Rizky Widdie Tigusti; Dian Eka Ratnawati; Syaiful Anam
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The active compound is a chemical compound that has many functions. One of the functions of the active compound is as a medicine. Active compounds have special characteristics that determine function as a drug. To obtain a characteristic value on the active compound SMILES notation are used as input system. SMILES notation is a modern chemical notation that can be stored on string variables to use for the process of computing. To obtain the characteristic on the compound the SMILES notation will be divided into 12 features consisting of B, C, N, O, P, S, F, Cl, Br, I, OH and the length from SMILES notation. The value of each feature is obtained from the preprocessing process against the SMILES notation made at the beginning of the classification process.In the process of classifying the function of active compounds, the Fuzzy K-Nearest Neighbor method are used because it can do process by using large amounts of data. The Fuzzy K-Nearest Neighbor method is a combination of two methods namely Fuzzy and K-Nearest Neighbor. An important step of the classification process using the Fuzzy K-Nearest Neighbor is to calculate the distance from each test data to the train data or so-called by euclidean distance, pick value as much as k value and calculate the fuzzy. Tests in this study using the dataset as much as 631 and divided into 2 as the data train and test data. Each composition of data training and data testing are 80% (503 data) and 20% (128 data). The result of the accuracy is 71% with the value of k = 15, in other test by using k-fold cross validation the biggest accuracy is 77%.

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