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All Journal TEMATIKA: Jurnal Penelitian Teknik Informatika dan Sistem Informasi BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Mobile and Forensics Jurnal AbdiMas Nusa Mandiri Jurnal Sistem Informasi dan Teknologi Informasi
Sean Coonery Sumarta, Sean Coonery
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Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Transportation Other

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Analisis Algoritma Genetika Tanpa Operasi Crossover Pada Kasus Travelling Salesman Sumarta, Sean Coonery
TEMATIKA, Journal of Informatics and Information Systems Vol 3, No 2 (2015)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

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Abstract

The TSP problem can resolved using Genetic Algorithms. In other previous research,crossover is one process that can be eliminated from the genetic algorithm to get better optimization. This research tried to solve TSP by using genetic algorithms without using the crossover. To improve optimization by applying the method of mutation with 2 phases. Mutation operator used the inversion mutation, exchange mutation, and insertion mutation . The results using these methods is the average error percentage of optimum distance 10%.Keywords: Travelling Salesmen Problem, Genetic Algorthim, Two Step Mutattion
Pengaruh Pengaturan Individu Proses Crossover Dan Mutasi Algoritme Genetika Pada Kasus Travelling Salesman Problem Sumarta, Sean Coonery
TEMATIKA, Journal of Informatics and Information Systems Vol 4, No 2 (2016)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

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Abstract

One disadvantage in the genetic algorithm is the number of iterations in the search for the optimum solution. This caused long computation time. This study aimed to obtain the best method to determine the individual parent crossover operator and mutation Genetic Algorithm in the case of the Traveling Salesman Problem (TSP). the results obtained in this research with a set of individuals in the process of crossover and mutation can reduce the number of iterations. So as computing time can be even faster. Keywords: Travelling Salesmen Problem, Genetic Algorthim, Crossover, Mutattion.
Manajemen Bandwidth dan Pengguna Jaringan Pada Universitas Atma Jaya Makassar Sumarta, Sean Coonery
TEMATIKA, Journal of Informatics and Information Systems Vol 6, No 2 (2018)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

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Abstract

This research is focus on how to optimize the usage of bandwidth at the University of Atma Jaya Makassar to provide fluency either online or offline while accessing the service of UAJM.In this research user management to be made using the Hotspot management and for Management bandwidth will be created using the queue tree and per connection queuing (PCQ). Queue tree used to allocate bandwidth to each user category and is used to divide the bandwidth PCQ fairly and evenly.Keywords: hotspot, queue tree, per connection queuing (PCQ)
Sistem Temu Balik Citra Berbasis Isi Citra Menggunakan Fitur Warna Dan Jarak Histogram Chyan, Phie; Sumarta, Sean Coonery
TEMATIKA, Journal of Informatics and Information Systems Vol 1, No 2 (2013)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

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Abstract

Today, Collection of image data on the Internet is growing rapidly in terms of quantity. In parallel with this a method of content -based image retrieval (Content -based image retrieval) is needed in the process of identifying and accessing visual information. Content -based image retrieval basically simulates the human perception of an image so that an error occurred in the text -based retrieval methods can be overcome. In this research, the image retrieval system is implemented with the extraction of low level features of the image. Low-level information used in this study is the color information contained in the image. Composition of color pixels in an image can be represented in a color histogram. The degree of similarity between the image color is determined based on the distance between the histogram using Laplace distance and Euclidean distance. The smaller the distance between the histogram, the higher the percentage of similarity of an image. Results of image retrieval through the database will be displayed according to the query by example method performed by a user, based on the sequence of images that have a higher percentage of similarity.
Rancang Bangun Mesin Pencari Citra Dengan Pendekatan Temu Balik Berbasis Konten Dan Model Relevance Feedback Chyan, Phie; Sumarta, Sean Coonery
TEMATIKA, Journal of Informatics and Information Systems Vol 4, No 2 (2016)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

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Abstract

This research aimed at improving the reliability of the system by developing a machine learning framework as a relevance feedback mechanism that aims to harness human perception in the training system to learn to map between the vector feature extraction results to the specifications given query. In the developed relevance feedback mechanism, users are involved in providing feedback to the system via the query by example (QBE) interface model. Basically, this module works with the user to decide how to involve the relevant results or irrelevant that emerged as a result of the system output user-defined queries. Then the machine-learning mechanisms will reformulate return query results based on user ratings and displays the new results. This process can take place iteratively until the user is satisfied on the relevance of the results obtained. Outcomes of this study will produce an image search system that can be integrated with information systems of third party services through the modules developed
Simulasi Kontrol Kecepatan Kendaraan Dengan Logika Fuzzy Metode Mamdani Pada Berbagai Keadaan Sumarta, Sean Coonery
TEMATIKA, Journal of Informatics and Information Systems Vol 1, No 2 (2013)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

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Abstract

Traffic accident are the third killer in the world after HIV / AIDS and tuberculosis. Factors that cause accidents classified by elements of the transportation system itself are the road user, vehicle, road and environment. In this research apply fuzzy logic to control the vehicle speed limits by using Mamdani inference method. This research was carried out to control the driver so that not to accelerate the vehicle exceeds a predetermined speed limit based on surrounding circumstances. Circumstances which are used as variables: class, weather and distance between vehicles. The results of this research have been successfully made speed control vehicle simulation with fuzzy logic in matlab r2012a
Sistem Otomasi Rumah Berbasis Logika Fuzzy Menggunakan Arduino Uno R3 Untuk Mengoptimalkan Penggunaan Listrik Antony, Heriyanto; Sumarta, Sean Coonery
TEMATIKA, Journal of Informatics and Information Systems Vol 5, No 1 (2017)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

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Abstract

This research focuses on the manufacture of home automation systems to optimize the use of electricity. Home automation system has four features, namely automatic control, manual control, control based on the habits and customs control based on fuzzy logic and method Tsukamoto. Fuzzy logic Tsukamoto will calculate the temperature that should be spent by the AC, using input from sensors LM35 that are indoors and outdoors, so that the temperature of the issued AC was not too hot and too cold home automation system features 3 sensors which PIR sensor, sensor LM35 and LDR sensor that will be used as input data on the system. Home automation system will control electrical equipment, namely air conditioning and lighting optimally.Keywords: Arduino Uno R3, Controlling, Home Automation, Fuzzy Logic  
Rancang Bangun Mesin Pencari Citra Dengan Pendekatan Temu Balik Berbasis Konten Chyan, Phie; Sumarta, Sean Coonery
TEMATIKA, Journal of Informatics and Information Systems Vol 3, No 2 (2015)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

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Abstract

This research aimed to develop the image search system using content-based retrieval approach by applying algorithm to extract low-level feature from images. Low-level information that is used to extract image features in the image retrieval system is color information contained in the image. Composition of color pixels in an image can be represented in a color histogram. The degree of similarity between the image colors is determined based on the distance between the histogram using Laplace distance and Euclidean distance. The smaller the distance between the histogram, the higher the percentage of similarity of an image. Results of image retrieval through the database will be displayed according to the query by example method performed by a user, based on the sequence of images that have a higher percentage of similarity. The test results for images with a maximum size of 150 x 150 pixels get fairly accurate results with percentages of similarity is above 60 percent.Keywords: Content Based Image Retrieval, Histogram, color space
PENGEMBANGAN SISTEM PEMBAYARAN PADA UNIVERSITAS ATMA JAYA MAKASSAR Sumarta, Sean Coonery; Tungadi, Astrid Lestari; Tommy, Phe
TEMATIKA, Journal of Informatics and Information Systems Vol 7, No 2 (2019)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

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Abstract

The purpose of the research is to develop a payment system UAJM that can handle the process of installment payments and other tuition payments such as remedial payments, seminar results and examination results table. The research was carried out using the method of the design of the waterfall, it consists of a number of stages are carried out systematically.
Simulasi Aplikasi Real Time Route Selection berbasis Wireless Sensor Network di Kota Makassar Lisangan, Erick Alfons; Sumarta, Sean Coonery; Tandungan, Levi Oktavian
Mobile and Forensics Vol 2, No 2 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v2i2.2767

Abstract

Seiring dengan pertumbuhan kota yang secara di dunia melebihi 50%, persoalan kota menjadi lebih rumit dan kompleks, salah satunya adalah kemacetan yang dapat disebabkan oleh banjir serta pertumbuhan kendaraan yang melebihi luas jalanan. Hal ini juga terjadi di Kota Makassar sebagai ibu kota provinsi Sulawesi Selatan. Saat ini sering terjadi kemacetan lalu lintas di beberapa ruas jalan di Kota Makassar, terutama pada saat peak hours. Data terakhir Juni 2017 menunjukkan jumlah kendaraan di kota Makassar adalah sebanyak 1.425.635 dimana terjadi kenaikan lebih dari 100% dibandingkan tahun 2007. Pada penelitian ini akan dirancang sebuah aplikasi real time route selection dengan memanfaatkan Wireless Sensor Network sebagai penyedia data traffic condition pada ruas jalan. Algoritma pencarian rute terpendek yang digunakan adalah algoritma Dijkstra serta algoritma Floyd-Warshall yang dikombinasikan dengan fungsi skalar Chebycheff. Hasil penelitian menunjukkan bahwa rute yang dihasilkan oleh kedua algoritma sama tetapi algoritma Dijkstra memiliki waktu pemrosesan lebih cepat dengan rerata 7,45 ms. Kelemahan fungsi skalar Chebycheff adalah proses update jarak antar node yang dinamis bergantung pada perubahan kondisi lalu lintas. Hal ini dapat diatasi dengan menggunakan penggunaan metode inferensi lain untuk kriteria kondisi lalu lintas, seperti fuzzy logic maupun metode Multi Criteria Decision Making.
Co-Authors Antony, Heriyanto Astrid Lestari Tungadi Cakra, Kalvin Erick Alfons Lisangan Ferdianto Tangdililing, Ferdianto Gormantara, Alfredo Phie Chyan Randy Randy Ridnaldy Yunior Carolus Tandungan, Levi Oktavian Tommy, Phe