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All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Jurnal Sistem Informasi, Teknologi Informasi, dan Edukasi Sistem Informasi (JUST-SI)
Tibyani Tibyani
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Implementasi Raspberry Pi Embedded System Pada Kamar Mandi Pintar Untuk Monitoring Dan Otomatisasi Valensiyah Rozika; Tibyani Tibyani; Barlian Henryranu Prasetio
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Provision of bathroom facilities are important at this time, especially with the rapid growth of tecnology in population. The bathroom is the place most often visited by everyone no exception elderly and circles disabillity. Any case fall in bathroom is high enought. Someone will awlays risk of falling at bathroom related with his condition. The impact of the fall incident in someone's at bathroom, minor injuries to death. Therefore in this reasech the reseacher made a smart bathroom system, where the system can be applied in many bathroom facilities in order to monitor and automation the bathroom. This system, gave an illustration of prototype to monitor and automation the bathroom by using rasberrypi as the microprocessor. This system gave adventages such as by the system people will know someone who might be fell in the bathroom and by the system people can save electrical energy. Testing method focused on different user. From testing result, this system has 100% value at functional testing. In testing the detection process by Raspi-camera, user 1, user 2, user 3 were detected from different angles due to differences in standing distance from each user. In testing people passing Raspi-camera, the system accuracy reached 73.3%.
Analisis Sentimen Kurikulum 2013 pada Twitter menggunakan Ensemble Feature dan Metode K-Nearest Neighbor M. Rizzo Irfan; Mochammad Ali Fauzi; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The 2013 curriculum is a new curriculum in the Indonesian education system that has been enacted by the government to replace the 2006 curriculum or the Education Unit Level Curriculum. The implementation of this curriculum in recent years has sparked controversy in Indonesian education, students who are demanded more actively, added lessons and other matters that lead to various opinions that develop in the community, especially on Twitter. An estimated 200 million Twitter users post 400 million tweets per day. In this research, sentiment analysis is conducted to find out the developing opinion which is divided into positive opinion or negative opinion. The features and methods used are the ensemble feature and the K-Nearest Neighbor (K-NN) classification method. Ensemble feature is a combined feature, in the form of statistical Bag of Words (BoW) and semantic features (twitter specific, textual features, PoS features, lexicon based features). Based on a series of tests, the combination of features has an impact in improving the accuracy of the K-Nearest Neighbor (K-NN) method for determining positive or negative opinions. Merging this feature can complement the weaknesses of each feature, so the final result of accuracy gained by combining both features reaches 96%. In contrast to using only features independently, the accuracy achieved only reaches 80% on Bag of Words (BoW) features and 82% on ensemble features without Bag of Words (BoW).
Optimasi Komposisi Pakan Kambing Boer Menggunakan Algoritme Evolution Strategies Ramadhan Anindya Guna Aniwara; Nurul Hidayat; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The common problem that mostly happened in animal husbandry of goat is the insufficient usage of fodder. A simple mistake in choosing the fodder caused the goat to having a little nutrition in their body. That surely make the goat not growing breed well. In the economic point of view, the purchase of fodder becomes the highest cost in factory farming, so the cost should be reduced as low as possible to maximize the revenue. Optimizing the preparations of goat's fodder is a way to reducing the cost, that can also increasing the revenue. In this case, a evolution strategies algoritm is used to optimizing the goat's fodder. The type of ES process used is (μ / r + λ) so that the reproduction process involves recombination and the mutation result will be included with the parent in the selection and selection process using elitism selection. The optimal solution is obtained from population size of 90 and the number of generations 100 obtained the highest average fitness value of 0.803. The final result is recommendation of goat's fodder.
Implementasi Metode Fuzzy Pada Akuaponik Deep Water Culture Berdasarkan Derajat Keasaman Dan Ketinggian Air Bagus Cakra Jati Kesuma; Tibyani Tibyani; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Aquaponics is an excellent cultivation choice to apply, this system grows in a mutually beneficial environment. The existence of fish, plants and bacteria is very important. These elements create a mutually beneficial relationship called a symbiotic mutualism. In an aquaponics system, pH and water level are mutually controlled components to be maintained at a certain level for aquaponical optimization, it underlies the existence of a control system by implementing a fuzzy method for processing the data of acidity and aquarium water level. Then it will be processed in Arduino Uno microcontroller. The input data was obtained from respondents using questionnaires which processed into the value of the input of membership degree, then it enter in the implication process, the implication function used is min, go into the composition of the fuzzy system rule is max, from the advanced inference engine in the defuzzification process obtained the fixed value for the pump output. Testing of pH and ultrasonic sensors reveal that the sensor works in a low error rate. In testing of fuzzy Mamdani method, the fuzzy processing of the system and manually testing is done by analyzing that the fuzzy formula applied to the system can produce an output corresponding to the fuzzy calculation. From data obtained samples can be concluded that the output of the system in accordance with the undertaken design. It is proved by comparing to the output value of the system equal to the output of the manual calculation, and has a 100% accuracy on fuzzy testing performed.
Sistem Pendeteksi Jenis Buah Mangga Menggunakan Metode Template Matching Agung Bachtiar Sukmaarta; Dahnial Syauqy; Tibyani Tibyani
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

Template Matching Algorithm is a simple method used to recognize patterns in an image. Template Matching Methods are often used to identify letters, numbers, fingerprint and other image matching images. In this research is made a system to detect type of mango fruit. There are 3 types of mangoes that can be detected, namely Manalagi, Arumanis, and Golek. The method used in this application is Template Matching, which is a statistical technique used to find two variables / matrices or more that are quantitative. This algorithm matches each pixel in a digital image matrix of mango from the image that becomes the template reference. The results of the experiments show that the classification of the type of mango fruit with Template Matching method can detect images of tested mangoes. The success rate of mango fruit detection is 70.83% of the test data of 24 images. Performance of Mango Type Detection System with Template Matching Method has average value of average speed of 4.075 seconds from 24 times testing.
Optimasi Penjadwalan Mesin dan Shift Karyawan Menggunakan Algoritme Genetika (Studi Kasus Pada PT. Petro Jordan Abadi) Sarah Aditya Darmawan; Imam Cholisoddin; Tibyani Tibyani
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

Employee shift scheduling and machine scheduling are two things to keep in mind at a factory. Employee shift scheduling is needed to manage employees' working hours so that the work quality of employees is well maintained and has a positive impact on the company. So it is with machine scheduling. Machine scheduling is needed to regulate the order and process of machine work in goods production activities, in order to shorten production time of goods and increase production of goods. The crossover method used is one-cut point crossover, mutation method used for shift scheduling is reciprocal exchange mutation and insertion mutation for machine scheduling, and selection method used is elitism selection. There are 4 scheduling systems used in this study, testing the value of popsize, testing the value of generation, convergence testing, testing the combination of cr and mr values, and testing of global analysis. In testing the value of popsize obtained the highest popsize is 70 with a fitness value of 0.6198. The generation value test got the highest generation in generation 400 with fitness value 0,5624. As for testing cr and mr get the best value at cr of 1 and mr of 0 with a fitness value of 0.5926. Results obtained from global analysis is the fitness value of the system has a higher yield of 0.5162. It can be concluded that the application of genetic algorithms in the optimization of machine scheduling and shift employees is very influential in the process of obtaining the best solution. The greater the fitness value obtained the better the solution obtained, and vice versa. So that the engine optimization system and employee shift scheduling can be used as a reference for the schedule for the company.
Sistem Pakar Diagnosa Penyakit Gigi dan Mulut Menggunakan Metode Naive Bayes - Weighted Product Paul Manason Sahala Simanjuntak; Edy Santoso; Tibyani Tibyani
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

Teeth and mouth are parts of the body that are often lacking in health. Dental and Mouth Disease is included in the list of 10 diseases that people often complain about. Dental disease itself is often considered trivial by the public, even though if it is not treated immediately it can cause heart disease and stroke. The uneven distribution of dental and oral experts has made it difficult for people to be able to get dental and oral health checks. Therefore, it is expected that with this system can help people especially those that are not reached by a dental expert to be able to find out the diagnosis of dental and oral diseases suffered and advice that can be given. In this system the method used in the diagnosis process is the naive bayes-weighted product method. Naive Bayes itself is applied to find the value of the probability of each symptom of a disease while the weighted product is applied to provide a conclusion on the diagnosis of dental and oral diseases by finding the value of the criteria s and alternative values ​​v. In this system there are 7 types of diseases and 21 dental and oral disease symptoms that can be recognized by the system. Accuracy testing results use a total of 30 test data and produce an accuracy rate of 93.3%.
Rancang Bangun Alat Pendeteksi Kecelakaan Mobil Menggunakan Sensor Akselerometer dan Sensor 801s Vibration Adnan Mahfuzhon; Tibyani Tibyani; Gembong Edhi Setyawan
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 improvement of infrastructure, especially road and freeway, will make the transportation service industry more promising. One of them is car rental service business, increases up to 70%. There are several reasons why car rental service becoming the first choice than buying or owing a car, specifically for business world. Besides saving the budget, renting a motorbike also erasing several difficulties, for instances, maintenance, extension for important letters, even decreasing losing the motorbike. Based on the data obtained from the increasing of car rental service business, it is needed to keep the comfort between the service provider with the customer. The important thing to be noticed, when the service provider must maintain the rental cars. Also, the customer must take care of the rented car. From the problem, it is need to conduct a research related to accidental notification for keeping the cars and customer's comfort. The process of collecting the test data manually to be made the input for calculating naive bayes. The data adjustment is set by referring to accelerometer data, if the data is more than 4 grams so it is categorized in accident condition. Collecting the data in the running condition obtained the value of accuracy up to 90%, then when collecting in the sudden stop condition obtained up to 78%, and in accident condition obtained up to 98%. The data test results from the classification results using naive bayes, they are obtained by collecting the test data in each one for 16-time tests in every scenarios. In running condition, it is obtained the value of accuracy up to 98,7%, in the sudden stop condition obtained the value of accuracy up to 87,5% and in the accident condition obtained the value of accuracy up to 98,7%.
Optimasi Travelling Salesman Problem Pada Angkutan Sekolah Menggunakan Algoritme Genetika (Studi Kasus : Sekolah MI Salafiyah Kasim Blitar) Ivarianti Sihaloho; Imam Cholisoddin; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Most aspects in all sectors are now fundamentally dependent on the information technology. One of the aspect is about the quality of school services for students, like school bus service. School bus service is one of the efficient school service to support safety for children while their parents are busy to pick up them at school. This is one of the reason from the imporovement of MI Salafiyah Kasim school Bus service for children by optimizing the school bus routes. The Optimization system is built on with Traveling Salesman Problem (TSP) and genetic algorithm methods. MI Salafiyah Kasim school bus service has morning and afternoon arrival and departure of students. The actual road data used in this research consist of the sample within 3 days. This data will be compared to find out and show what method needs less time in comparison with known methods and so efficient for such problem. Based on the data research, the optimization results in the morning departure is about 5.5 km (accuracy = 19.78%) and in the afternoon arrival is about 17.17 km (accuracy = 36.30%). It can be concluded that this system is running well by producing a good optimal value.
Penerapan Algoritme Genetika untuk Optimasi Penjadwalan Jam Kerja Part-Time Studi Kasus Cafe Bingsoo Malang Yogi Suwandy; Lailil Muflikhah; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Part-Time working hours or often called part-time working hours are a group of workers who alternately replace the other group after the work has ended. Part-time working hours are applied in an agency usually divide it in 3 shifts work, morning shift, day shift and night shift. Not a few students who choose Part-Time work for college while working to fill in the empty time in college because by working they can add pocket money and their experience. A manager or division chairman who plays a role in organizing work schedules should be meticulous in the distribution of employee shifts so that all employees get the same number of working hours. Scheduling is an activity to find the solution of a problem which will result in the optimal schedule of the schedule. Genetic algorithm is a method that has been applied by many researchers to get a solution of the problem scheduling. Genetic Algorithm used can provide accuracy value of 100% with a fitness value of 1 to 9 employees division waiters at Cafe Bingsoo Malang, the tests were performed using some of the best parameter values ​​such as population number 70, number of generation 70, crossover rate 0.6 and mutation rate 0.5 with fitness value obtained at 1.
Co-Authors Abi Dwijo Sukma Adinugroho, Sigit Aditya Dwi Wicaksono Adlan Husein Malahella Adnan Mahfuzhon Agung Bachtiar Sukmaarta Agung Cahya Kurniawan Ahmad Afif Supianto Akhmad Rohim Ana Holifatun Nisa Andrew Adi Nugraha Angga Dwi Apria Rifandi Anindya Agustina Damayanti Anisa Dwi Novita Rika Ardiansyah Ardiansyah Aries Suprayogi Ayang Setiyo Putri Bagus Cakra Jati Kesuma Barlian Henryranu Prasetio Belqis Putri Himmatul Karimah Bilal Benefit Buce Trias Hanggara Budi Darma Setiawan Dahnial Syauqy Davriwan Dzaky Muttaqien Diah Priharsari Edwin Yosef Setiawan Sihombing Edy Santoso Fadhlillah Ikhsan Faizatul Amalia Fitriyah, Hurriyatul Galih Ariwanda Gembong Edhi Setyawan Hazal Kurniawan Putra Ians Adji Adhitama Imam Cholisoddin Imam Cholissodin Imam Ghozali Indah Riska Aulia Irvan Windy Prastyo Irwan Kurniawan Issa Arwani Ivarianti Sihaloho Kamal Irsyadillah Kevin Aditya Firmansyah Putra Kholif Beryl Gibran Kresna Wiska Kafila Lailil Muflikhah Lb Novendita Ariadana Linda Silvya Putri Luthfi Anshori M. Adib Fauzi Rahmana M. Ali Fauzi M. Rizzo Irfan Mochammad Hannats Hanafi Ichsan Mochammad Izzuddin Moh. Ibnu Assayyis Muchammad Cholilulloh Muhammad Resna Muhammad Rizki Augusta Muhammad Sanzabi Libianto Muhammad Yusuf Ramadan Muria Naharul Hudan Najihul Ulum Nabila Divanadia Luckyana Nurul Hidayat Paul Manason Sahala Simanjuntak Pitoyo Peter Hartono Priscillia Pravina Putri Sugihartono Putra Pandu Adikara Ramadhan Anindya Guna Aniwara Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Rich Juniadi Domitri Simamora Rivan Haposan Rizal Maulana Ryan Bayu Permadi Sarah Aditya Darmawan Siti Nafiah Sutrisno Sutrisno Tegar Assyidiqi Nugroho Tobing Setyawan Tri Putra Anggara Utaminingrum, Fitri Valensiyah Rozika Widhy Hayuhardhika Nugraha Putra Yanuar Enfika Rafani Yogi Suwandy Yuita Arum Sari