Budi Santoso

Institut Teknologi Sepuluh Nopember, Electrical Engineering, Graduate Student

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Pengajaran Kompetensi Bahasa Inggris Untuk Sekolah Menengah Kejuruan

Jurnal Layanan Masyarakat (Journal of Public Services), 2020

Pengabdian masyarakat ini dilakukan untuk mengembangkan kompetensi bahasa siswa di kalangan siswa... more Pengabdian masyarakat ini dilakukan untuk mengembangkan kompetensi bahasa siswa di kalangan siswa Sekolah Menengah Kejuruan. Siswa yang dipilih adalah siswa kelas XII dengan pertimbangan mereka akan menyelesaikan proses belajar di sekolah dan terjun ke masyarakat dengan memanfaatkan ketrampilan yang dimiliki. Mitra pengabdian pada masyarakat adalah Siswa Kelas XII SMK Mahardhika Surabaya. Dari analisis situasi yang dilakukan nampak bahwa permasalahan yang dihadapi mitra adalah siswa kelas adalah kurangnya motivasi belajar karena anggapan dasar bahwa Bahasa Inggris adalah mata pelajaran yang sulit. Dari pretest yang dilakukan ada beberapa materi dasar yang sulit dipahami khususnya reading, kurang mengerti topic, main idea, dan menjawab WH Question serta kurang fokusnya siswa dalam mengikuti proses pembelajaran. Pengajaran menggunakan pendekatan komunikasi persuasif motivasional, diadakan tes awal, pengajaran topic, main idea, dan WH Question dengan pengayaan materi. Setelah proses tr...

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Fuzzy Logic Approach for Email SPAM Detection System

The more incessant online business world is accompanied by the increasing number of cases of SPAM... more The more incessant online business world is accompanied by the increasing number of cases of SPAM email distribution. SPAM Email is the mass distribution of emails with topics and recipients that are not relevant or expected. The emergence of spam really annoys e-mail users because it can increase bandwidth usage, it also significantly reduces storage capacity on the server. This research was conducted with the aim of utilizing fuzzy logic in the e-mail spam detection process. It is hoped that with this method the clean email selection process from SPAM can be done accurately. The process in this study consisted of 3 parts, namely the initial e-mail selection process, the extraction of prospective clusters, and the formation of clusters. The final result of the whole process is the formation of a cluster or group of e-mails that are identified as SPAM and those that are not SPAM.

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The Implementation of Deep Learning for White Blood Cell Subtype Classification from Microscopic Images

Proceedings of the Proceedings of the 1st Asian Conference on Humanities, Industry, and Technology for Society, ACHITS 2019, 30-31 July 2019, Surabaya, Indonesia, 2019

This study aims to apply one of the artificial intelligence algorithms namely deep learning in th... more This study aims to apply one of the artificial intelligence algorithms namely deep learning in the classification process of white blood cell subtypes. Classification of white blood cell subtypes is needed for identification of blood diseases such as leukemia, anemia, etc. The deep learning model used in this study is the LeNet architecture which is easy to implement. After going through the preprocessing of white blood cell microscopic images and classification of datasets according to the method, the classification accuracy was 94%..

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Color-based microscopic image steganography for telemedicine applications using pixel value differencing algorithm

IOP Journal of Physics: Conference Series, 2019

There are some ethics in the medical world to keep patient information confidential on every resu... more There are some ethics in the medical world to keep patient information confidential on every result of medical observations and analysis. Therefore, steganography technique is an alternative to conceal sensitive text information on a medical image in the telemedicine system process. Research on steganography using Simple LSB-Substitution and other algorithm has been available but in this study, the implementation of steganography was designed to hide text in color medical images before being sent through the telemedicine system. Sensitive text is hidden in medical images using the Pixel Value Differencing (PVD) algorithm. The main purpose of using this algorithm is to maintain the peak signal to noise ratio (PSNR) and mean square error (MSE) of the steganography image result. As a result, the PSNR value can be maintained at the 57,98dB for 10KB hidden text, and lower MSE at 0.05 for high-density object microscopic image.

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SISTEM DETEKSI DINI UNTUK MENINGKATKAN PERFORMANCE KELULUSAN MAHASISWA DENGAN ID3

The performance of academic programs higher education is measured by number of graduates are prod... more The performance of academic programs higher education is measured by number of graduates are produced by each study program as reflected in the standard III accreditation form in point 3.1.1 and 3.1.4. The study program is required to have a good performance is marked by the increasing number of graduates in proportion to the number of students received so that ratio lecturers with students can be maintained. The more students who are accepted in college if they are not comparable with the number of graduates in each year will have an impact on the quality of learning. The result of this graduation becomes the evaluation material of the study program which will be the input of the study program and the Academic Advisors (DPAM) in order to provide treatment to the problem students so that they can improve the performance of the graduates. DPAM has a very important role to the progress of the learning process of students Guide, but with the amount of guidance that is increasingly causing students to be misdirected and in the end the student performance becomes bad, for that need an early detection system to improve the performance of graduates based on the results of the recommendation from the decision tree classifier. this method can generate a decision tree and give recommendations to students problems with accurate.

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PERANCANGAN JARINGAN DAN OTOMASI STUDIO TERINTEGRASI STASIUN RADIO STREAMING

The recent communication media technology has reached the era of convergence where it required to... more The recent communication media technology has reached the era of convergence where it required to provide information and content in various forms,such as in text, sound, or image.The similar situation also happens at radio broadcasting. With the revolution of computer and internet network technology, currently radio broadcast has possibility to cross the range of conventional broadcast radius over internet network or called radio streaming. Dr. Soetomo University as one of the universities which have a competence in the field of communication science and information technology, must also be able to adapt to the latest developments in radio broadcasting technology and its methods. The general objective of this research is to create integrated network modeling and studio automation for streaming radio stations at Dr.Soetomo University that is able to adapt environmental conditions ie: data traffic on network, broadcast schedule, weather conditions, etc. The research method used is Research and Development (R & D) using design studio model integrated phase and audio network automation design phase which is used for broadcasting process of radio broadcast via internet.

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The variance of Log Histogram and Multifocus Image Fusion Method for Autofocusing Microscopic Image on Tuberculosis Bacteria Screening

The 10th Kumamoto University Forum, 2013

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The Model of Glucose Fluctuation with Diabetes Based on Mapping HbA1c and Mean Amplitudo of Glucose Excursion Value

Glycemic variability or MAGE (Mean Amplitudo of Glucose Excursion) is an important parameter that... more Glycemic variability or MAGE (Mean Amplitudo of Glucose Excursion) is an important parameter that used to solve clinical problems and highly related with oxidative stress. Along with other parameters such as HbA1c, Fasting Plasma Glucose and Postprandial Glucose, this parameter may indicate macro and microvascular complications in diabetes...

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Penentuan Otomatis Posisi Fokus Citra Mikroskopis Bakteri Tuberkulosis Berbasis Nilai Entropi dan Fuzzy Logic

BUDI SANTOSO, AHMAD ZAINI, I KETUT EDDY PURNAMA (budisanto.ypm@gmail.com, {a.zaini,ketutedi}@ee.its.ac.id)

Identifikasi dini tuberkulosis (TB) melalui pengamatan mikroskopis (screening) menggunak... more Identifikasi dini tuberkulosis (TB) melalui pengamatan mikroskopis (screening)
menggunakan sampel dahak (sputum smear) telah banyak membantu penanggulangan penyakit TB. Namun
proses identifikasi TB melalui screening mikroskopis membutuhkan waktu cukup lama, ketelitian tinggi, serta
tenaga laboratorium yang ahli.
Otomatisasi mikroskop merupakan solusi peningkatan efisiensi penggunaan sumberdaya pada screening bakteri
TB. Pada penelitian ini diusulkan metode perhitungan nilai entropi dan fuzzy logic controller untuk proses
autofocus, bertujuan agar akurasi dan kecepatan penentuan posisi fokus obyek mikroskopis dapat ditingkatkan.
Pengendalian pencapaian posisi fokus berbasis fuzzy logic dengan input hasil perhitungan nilai entropi citra
pada penelitian ini berhasil diterapkan dengan error mencapai 9,1% dan peningkatan kecepatan pencapaian
fokus mencapai 73,5%.

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