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<![CDATA[PERHITUNGAN JUMLAH BAKTERI ESCHERICHIA COLI DENGAN PENGOLAHAN CITRA MELALUI METODE THRESHOLDING DAN COUNTING MORPHOLOGY ]]>
<![CDATA[Ari Purno Wahyu Wibowo]]>;
<![CDATA[Rian Andrivani]]>
<![CDATA[ Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 2 No. 3 (2016) ]]>
Publisher : <![CDATA[Universitas Widyatama ]]>
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DOI: 10.33197/jitter.vol2.iss3.2016.113
<![CDATA[[Id]Salah satu permasalahan yang terdapat di bidang kesehatan adalah tingkat tingginya kontaminasi bakteri pada makanan yang dijual/disajikan oleh pihak penjual, mulai dari Pedagang Kaki Lima (PKL), restoran, dan industri makanan. Jika makanan kita terkontaminasi bakteri akan memberikan dampak negatif bagi kita dan masyarakat yang mengonsumsi makanan terkontaminasi. Dan salah satu alasan makanan tersebut terkontaminasi karena adanya bakteri yang tumbuh pada makanan tersebut yang melebihi batas pencemaran maksimum. Salah satu bakteri yang dapat menyebabkan makanan tersebut terkontaminasi adalah bakteri Escherichia coli.Salah satu solusi yang dapat diambil yaitu, dengan menyediakan sistem perhitungan bakteri Escherichia coli. Dimana dengan sistem tersebut dapat mengetahui berapa jumlah bakteri Escherichia coli yang terdapat pada makanan yang diteliti agar diketahui apakah makanan tersebut layak dijual atau tidak berdasarkan jumlah batas pencemaran maksimum dengan jumlah bakteri yang mencemari makanan yang diteliti. Dalam perkembangbiakannya bakteri ini dapat tumbuh secara morfological dimana bakteri ini ?tumbuh secara acak dengan bentuk yang sama yaitu dalam bentuk batang namun tumbuh dengan posisi secara acak.Dalam perancangan system tersebut penulis menggunakan bahasa pemrograman C disertai dengan perangkat lunak yang membantu dalam pembuatannya yaitu Matlab. Setelah implementasi sistem ini akan diuji coba hasilnya adalah para ahli industi makanan dapat menentukan apakah makanan yang diteliti tersebut layak dijual atau tidak sesuai dengan tingkat pencemaran yang terdapat pada makanan tersebut.Kata Kunci: Bakteri Escherichia coli. Morphological, Makanan, Perhitungan bakteri[En]One of the issues contained in the health sector is the high level of bacterial contamination of food sold or served by the sellers from the street food restaurants and the food industry. If our food contaminated with the bacteria will adversely affect us and the people who eat contaminated foods. And one of the reasons that food contaminated by bacteria that grow on the food that exceeds the maximum contamination limit. One of the bacteria that can cause food that is contaminated with the bacteria Escherichia coli.One solution that can be taken is, by providing the calculation system of Escherichia coli. Where in the system can determine how the number of Escherichia coli bacteria found in foods studied in order to know whether the food is decent for sale or not based on the amount of the maximum contamination limit to the number of bacteria that contaminate food studied. In the breeding of bacteria can grow morfological where these bacteria grow randomly with the same shape in the form of rods but growing at random positions.In designing the system, the author uses the C programming language comes with software that helps? and using in Matlab. After implementation of this system will be tested the result is the food industry, experts can determine whether the foods studied eligible or not for sale according with the level of pollution contained in these foods.Keywords: Bacterai Escherichia coli. Morphological, foods, calculation]]>
<![CDATA[SMART CANTEEN : PERILAKU MENGATUR POLA MAKAN DENGAN MEMBACA NILAI NUTRISI (CONVENTIONAL DEEP LEARNING NEURAL NETWORK) ]]>
<![CDATA[Ari Purno Wahyu]]>;
<![CDATA[Heri Heryono]]>;
<![CDATA[Muhammad Benny Chaniago]]>;
<![CDATA[Dani Hamdani]]>
<![CDATA[ Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 6 No. 2 (2020) ]]>
Publisher : <![CDATA[Universitas Widyatama ]]>
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DOI: 10.33197/jitter.vol6.iss2.2020.356
<![CDATA[Kesehatan merupakan bagian terpenting bagi kita dimana pengaruh atau datangnya penyakit melalui pola makan, terlebih bagi kita yang memiliki kesibukan yang luar biasa padatnya tentu saja tidak ada waktu untuk sarapan dan lebih memilih makanan cepat saji yang tersedia banyak di kantin atau kafe. Hal ini bukan berarti makanan cepat saji tidak sehat, hal ini akan menjadi masalah jika terlalu berlebih dan tidak memperhatikan takaran saji atau kandungan nutrisi yang ada pada makanan tersebut. Beberapa cara bisa dilakukan dengan menjaga sikap pola makan misalkan dengan diet atau menggunakan aplikasi perhitungan nutrisi yang ada di pasaran dan gratis untuk diunduh. Jenis aplikasi ini masih kurang efektif dimana aplikasi tersebut masih merupakan perkiraan saja dan tidak bisa digunakan secara realtime. Penelitian sebelumnya bisa menggunakan teknik computer vision dengan menggunakan image sebagai alat pembaca dari makanan yang akan kita santap. Aplikasi tersebut mampu membaca kandungan nutrisi sekaligus harga makanan, teknik pengolah image yang digunakan menggunakan metode Deep Learning Neural Network, algoritma ini terbukti memiliki akurasi dan pembacaan data yang tinggi dibandingkan algoritma yang lain. Aplikasi dengan Neural Network yang berbasis image bisa diimplementasikan pada mesin kasir di kantin atau cafe dan bisa dibuat dalam bentuk perangkat mobile sehingga lebih mudah digunakan. Teknik komputerisasi dengan Deep Learning Neural Network terbukti bisa diterapkan di kantin dan caf]]>
<![CDATA[IMAGE PROCESSING BASED TILAPIA SORTATION SYSTEM USING NA ]]>
<![CDATA[Sukenda Sukenda]]>;
<![CDATA[Ari Purno Wahyu]]>;
<![CDATA[Benny Yustim]]>;
<![CDATA[Sunjana Sunjana]]>;
<![CDATA[Yan Puspitarani]]>
<![CDATA[ Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 7 No. 1 (2020) ]]>
Publisher : <![CDATA[Universitas Widyatama ]]>
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DOI: 10.33197/jitter.vol7.iss1.2020.459
<![CDATA[Tilapia has a value of export quality and is imported from America and Europe, tilapia is cultivated in freshwater, the largest tilapia producing areas are Java and Bali for the export market in the Middle East, value fish with a size of 250 grams / head (4 fish / kg ) in their intact form is in great demand. According to news circulating, fish of this size in the Middle East are ordered to meet the consumption of workers from Asia. the fish classification process is a very difficult process to find the quality value of the fish to be sold to meet export quality. Fish classification techniques can use the GLCM technique (Gray Level Oc-Currance Matrix) classification using images of fish critters with the GLCM method.The fish image data is analyzed based on the value of Attribute, Energy, Homogenity, Correlation, Contrash, from the attribute the density data matrix is ??generated for each. Fish image data and displayed in the form of a histogram, the data from the GLCM results are then classified with the Naive Bayes algorithm, from the results of the classification of data taken from 3 types of tilapia from the types of gift, Red, and Blue.]]>
<![CDATA[MODELING OF DIGITALIZATION AND VISUALIZATION OF LABOR COMPLAINTS USING OCR, FEATURE EXTRACTION AND BUSINESS INTELLIGENCE ]]>
<![CDATA[Yan Puspitarani]]>;
<![CDATA[Sukenda Sukenda]]>;
<![CDATA[Ari Purno Wahyu]]>;
<![CDATA[Benny Yustim]]>;
<![CDATA[Sunjana Sunjana]]>
<![CDATA[ Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 7 No. 2 (2021) ]]>
Publisher : <![CDATA[Universitas Widyatama ]]>
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DOI: 10.33197/jitter.vol7.iss2.2021.592
<![CDATA[The handling of labor complaints is one of the performance factors for Disnakertrans. This performance is related to the decisions that must be taken to determine policies so that violations of labor norms can be reduced. Making this decision will be easier if the data on complaints can be recapitulated quickly and accurately. This recapitulation will be a tool to monitor the leadership in seeing the progress report on the status of incoming complaints. However, the manual administrative process makes the recapitulation slower. Therefore, this study will model the complaint reporting digitization system by utilizing OCR and information extraction as well as modeling the visualization of the results of the recapitulation using Business Intelligence. With the creation of this model, it is hoped that the performance of Disnakertrans in resolving labor complaints will be more effective]]>
<![CDATA[PENDETEKSIAN PLAT NOMOR KENDARAAN MENGGUNAKAN ALGORITMA YOU ONLY LOOK ONCE V3 DAN TESSERACT ]]>
<![CDATA[Muhamad Rizky Fauzan]]>;
<![CDATA[Ari Purno Wahyu Wibowo]]>
<![CDATA[ Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 8 No. 1 (2021) ]]>
Publisher : <![CDATA[Universitas Widyatama ]]>
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DOI: 10.33197/jitter.vol8.iss1.2021.718
<![CDATA[The development of technology is currently growing very rapidly. One technology that is currently being developed on a large scale is Artificial Intelligence. Artificial Intelligence or AI has various functions and purposes depending on the system created. One of them is to detect objects and text from images or videos. An example of the application of this technology is the detection of objects and text on vehicle number plates. In this study, a system design was carried out using the You Only Look Once V3 algorithm as an object detection algorithm and Tesseract Optical Character Recognition as a text in image detector. This design is assisted by the OpenCV library in the python programming language and uses an image dataset that is already available. This study aims to determine the level of accuracy of the You Only Look Once V3 algorithm combined with Tesseract Optical Character Recognition.]]>
<![CDATA[PENERAPAN MULTIMEDIA DEVELOPMENT LIFE CYCLE PADA GAME EDUKASI PEMBELAJARAN LAGU NASIONAL DAN LAGU DAERAH BERBASIS ANDROID ]]>
<![CDATA[Diany]]>;
<![CDATA[Ari Purno Wahyu Wibowo]]>
<![CDATA[ Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 8 No. 1 (2021) ]]>
Publisher : <![CDATA[Universitas Widyatama ]]>
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DOI: 10.33197/jitter.vol8.iss1.2021.726
<![CDATA[Educational game could act as learning media to increase desire and motivation to learn. Nowdays, national songs and folk songs in Indonesia are rarely heard and memorized by young generation, they prefer pop songs that are currently trendy. The pianica musical instrument is are rarely played, besides that the number of anthusiasts to play the pianica intrument are relatively small. Meloquin is an educational game to increase interest in playing pianica instrument while to increase knowledge in recoqnizing and remembering the national anthem in indonesia. The development of this game applies the Multimedia Development Life Cycle (MDLC) method consisting of six stage. In this application user can guess the song by playing the pianica according to the direction of song lyric notes that have been provided in each question. The test results for feasibiltiy of using this game is included 78% in the good category. Keywords : Educational Game, National Songs, Folks Song, Pianica.]]>
<![CDATA[IDENTIFIKASI KEASLIAN KARYA SENI RUPA DENGAN TEKNOLOGI IMAGE PROCESSING BERDASARKAN DETEKSI WARNA DAN TEKSTUR ]]>
<![CDATA[Ari Purno Wahyu]]>;
<![CDATA[Kaffah Imanuddin M R Santosa]]>
<![CDATA[ Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 8 No. 1 (2021) ]]>
Publisher : <![CDATA[Universitas Widyatama ]]>
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DOI: 10.33197/jitter.vol8.iss1.2021.739
<![CDATA[A work of art is a result of someone's thoughts in creating a form of object or art, the work is not just an object and can be in the form of creative ideas and educational concepts that are useful for human lives, the development of the digital world today has a positive impact and negative, for example someone can easily take other people's art works or ideas without credit or granting permission from intellectual property or intellectual property rights, but this does not matter if the art form is released by the art maker and is allowed to be distributed, to overcome With this identification system, the identification of works of art can be done by identifying textures, which in detail can read the most important parts of the painting or work of art by reading pixels and text. color position.]]>
<![CDATA[SISTEM INFORMASI PERPUSTAKAAN BERBASIS SERVICE TECHNOLOGY UTAMA (STU) UNTUK DUKUNGAN PEMBELAJARAN ONLINE (E-LEARNING): SISTEM INFORMASI PERPUSTAKAAN BERBASIS SERVICE TECHNOLOGY UTAMA (STU) UNTUK DUKUNGAN PEMBELAJARAN ONLINE (E-LEARNING) ]]>
<![CDATA[Ari Purno Wahyu]]>;
<![CDATA[Diah Sri Rejeki]]>;
<![CDATA[Merryam Agustine]]>
<![CDATA[ Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 8 No. 1 (2021) ]]>
Publisher : <![CDATA[Universitas Widyatama ]]>
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DOI: 10.33197/jitter.vol8.iss1.2021.741
<![CDATA[The development of a digital library is currently starting to grow rapidly and continues to experience renewal, the development of an information system has changed the appearance of the library which was only in the form of a line of book displays that may be dusty, is now changing to be more interactive and presented in a more informative and complete manner, on the current pandemic period, especially the spread of covid-19, has not stopped the public from being curious about information, whether information about covid-19 which has reached the highest rating on a livelihood engine or information about politics and entertainment, developments also have an impact on the education sector where several schools and universities limit student attendance in class which aims to avoid the spread of covid but the learning system and concept must take place, this encourages a new paradigm to create an online-based learning system by utilizing online lecture methods and The materials and materials presented are online, this is part of the main development of the library information system to present learning materials, either in the form of modules or practicum, so based on the above problems, a library system is needed that is not only able to present material but also as the main media. which is integrated with networks and information media or known as the main technology system or (STU) this system develops an information system that has the ability to be a supporter of an e-learning program.]]>
<![CDATA[IMPLEMENTASI CONTIONOUS INTEGRATION DAN CONTINOUS DEPLOYMENT PADA APLIKASI LEARNING MANAGEMENT SYSTEM DI PT. MILLENNIA SOLUSI INFORMATIKA ]]>
<![CDATA[Ari Purno Wahyu]]>;
<![CDATA[Indra Guna Noviantama]]>
<![CDATA[ Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 8 No. 1 (2021) ]]>
Publisher : <![CDATA[Universitas Widyatama ]]>
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DOI: 10.33197/jitter.vol8.iss1.2021.744
<![CDATA[Learning Management System or LMS is an application product developed by PT. Millennia Solusi Informatika. This LMS aplication has been used by a private school network. The application is developed using scrum method where this method approach is agile and can adjust requirements quickly. Based on this, in process of delivering the software, it is necessary to use the concepts of continuous integration and continuous deployment in order to fulfill an agile and iterative development flow. Continuous integration (CI) is the integration of code into repository code then run deployment, quickly and more frequent. While Continuous Deployment or Continuous Delivery (CD) is a practice that carried out after CI process is complete and all code is successfully integrated, so that application can be build and release automatically. By Using CI/CD, the application delivery process can continue automatically, quickly and often even though the application has been used by the user]]>
<![CDATA[PENENTUAN JURUSAN PADA PROSES PENERIMAAN MAHASISWA DENGAN PENDEKATAN LOGIKA FUZZY: PENENTUAN JURUSAN PADA PROSES PENERIMAAN MAHASISWA DENGAN PENDEKATAN LOGIKA FUZZY ]]>
<![CDATA[Ari Purno Wahyu]]>;
<![CDATA[Umi Hayati]]>
<![CDATA[ Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 8 No. 1 (2021) ]]>
Publisher : <![CDATA[Universitas Widyatama ]]>
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DOI: 10.33197/jitter.vol8.iss1.2021.747
<![CDATA[Choosing a major is not an easy matter. There are many factors that must be taken into account and carefully thought out so that in choosing a major, it will cause big losses. There are many ways to determine the selection of majors, one of which is by using fuzzy logic. Determination of majors is determined from the results of the selection test in the academic field with the subjects of Mathematics, English and Computer Knowledge. With the aim of recommending the selection of the right major according to academic abilities and improving quality. By using the fuzzy inference model Mamdani max-min method. The system simulation was tried using the MATLAB Fuzzy Toolbox software. The system design is carried out in several stages, namely: (1) formation of fuzzy sets, (2) formation of rules, (3) determination of the composition of rules, and (4) confirmation (defuzzification). Defuzzification is carried out using the Composite Moment method, with the types of membership functions used are mf-triangular, mf-trapezoid and mf-gaussian. From the results of the tests carried out, it shows that the mf-triangular and mf-trapezoid membership function types produce almost the same level of accuracy. While the membership function type mf-gaussian produces a high level of accuracy for mathematics by 87.50%, English 100% and computer knowledge 81.58%.]]>
