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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JMM (Jurnal Masyarakat Mandiri) JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Teknologi Jurnal Teknologi Informasi dan Pendidikan Sainstek : Jurnal Sains dan Teknologi REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Majalah Ilmiah UPI YPTK Jurnal Ipteks Terapan : research of applied science and education Jurnal Sains Informatika Terapan (JSIT) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Teknologi Jurnal Quancom: Jurnal Quantum Komputer Jurnal Teknik dan teknologi tepat guna Jurnal Ilmu Komputer dan Informatika
Ondra Eka Putra
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Teknologi Internet of Things (IoT) dalam Penyemprotan Insektisida Aglonema pada Greenhouse Retno Devita; Ruri Hartika Zain; Ipriadi; Ondra Eka Putra; Sri Rahmawati
Jurnal Teknologi Vol. 11 No. 2 (2021): Jurnal Teknologi
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (695.06 KB) | DOI: 10.35134/jitekin.v11i2.50

Abstract

Aglonema is a plant that is widely cultivated by ornamental plant lovers, because it has various species with varied and beautiful leaf patterns. Aglonema cultivation can be a business opportunity in agriculture because aglonema plants are in great demand but also because the prices offered vary from hundreds of thousands to millions of rupiah. Aglonema plant care is quite easy and simple. However, the wrong aglonema plant care such as irregular watering, excessive fertilizer application, and the wrong plant placement can make plants grow less optimally or even die. Greenhouse is a building that was formed to avoid and treat plants against various kinds of weather. Weather is the state of the atmosphere in a place at a certain time related to air temperature, sunlight, wind, rain and other air conditions. Thus, the types of plants that are not in accordance with the local climate, such as ornamental plants, vegetables and fruit, which have high economic value but are difficult to cultivate in outdoor areas, can be cultivated through climate control in the greenhouse. Various benefits such as controlling air temperature, adjusting humidity levels, to the interval between watering times can be adjusted easily. Internet of things (IoT) is a concept or program where an object has the ability to transmit or transmit data over a network without using the help of computer and human devices. With this IoT, spraying insecticides at the Greehouse for aglonema plants can be done automatically
Safe Security System Using Face Recognition Based on IoT Putra, Ondra Eka; Devita, Retno; Wahyudi, Niko
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.12231

Abstract

Face recognition is widely used in various applications, especially in the field of surveillance and security systems. This study aims to design and build a safe security system using face recognition via camera based on internet of things. This system uses the Raspberry Pi 3B and the OpenCV library as face recognition data processing which produces output on the Selenoid to open and close the safe, LCD 16x2 to display system status, IoT-based email delivery when smugglers occur. This study performs face recognition through the face detection stage using the Viola Jones method, feature extraction using the PCA (Principal Component Analysis) method and face recognition, then matched with the existing profile data in the directory. The results of this study indicate that the safe is open when a face is detected and will send a face capture to the e-mail address of the owner’s safe if the detected face is not recognized. Tests carried out on the safe security system using face recognition based on IoT build reach validity 90,25%.
RANCANG BANGUN SISTEM PEMANTAU UNTUK MENGATASI KELEBIHAN BERAT TRUK YANG MASUK KAPAL DENGAN MENGUKUR BERAT MUATAN DAN MENGETAHUI IDENTITAS MOBIL MENGGUNAKAN RFID PADA DELPHI 7 Ondra Eka Putra; Nanda Tommy Wirawan; Lutfi Riady Putra
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 2 No. 2 (2022): Juli : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1244.083 KB) | DOI: 10.55606/juisik.v2i2.225

Abstract

Tugas akhir ini bertujuan untuk mengembangkan sebuah teknologi baru dibidang pengontrolan yaitu system pemantau untuk mengatasi kelebihan berat truk yang masuk kapal dengan mengukur berat muatan dan mengetahui identitas mobil. Dimana cara kerja alat ini adalah memanfaatkan tag kartu RFID untuk melakukan pengecekan data. Sebelum alat dijalankan terlebih dahulu koneksikan kabel usb ke laptop dan kabel power supply ke listrik. Kalau sudah terkoneksi maka daftarkan kartu RFID terlebih dahulu, jika sudah terdaftar maka pindahkan ke menu transaksi untuk melihat data yang sudah di daftarkan. Apabila data diterima maka motor servo akan aktif. Dan memanfaatkan sensor Infrared untuk menandakan adanya mobil pada tempat penimbangan. Dan memanfaatkan Load Cell untuk mendeteksi berapa berat beban yang diangkut mobil. Jika berat beban mobil tidak sesuai dengan ketentuan maka mobil disuruh parkir pada tempat yang sudah disediakan, jika berat mobil sesuai dengan ketentuan maka monil berjalan masuk ke kapal.  Dengan dibuatnya system ini diharapkan masyarakat menjadi lebih efisien dalam pemanfaatan penimbang berat muatan pada kapal.    
Inovasi Sistem Kontrol Akses Gerbang Kantor Pemerintahan Berbasis Teknologi Multisensor dan Deteksi Plat Nomor Kendaraan Masril, Mardhiah; Ondra Eka Putra; Hasri Awal; Billy Hendrik
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 2 No. 2 (2024): Desember 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v2i2.433

Abstract

Technological advances are developing rapidly at this time, the need for efficiency, security and automation in the office environment has become a top priority. One innovation that answers this need is technology for office gates, the need for a more sophisticated and efficient access control system is increasingly urgent. The problem that occurs, namely intrusions outside working hours, means that unknown individuals can easily enter the office area without permission. Additionally, cases involving lost employee ID cards, which were used by others to access designated areas, underscore the need for identification systems that are more secure and difficult to abuse. The office gate security system utilizes Webcam Camera input, RFID Reader, Fingerprint Sensor, Ultrasonic and Esp8266, Web, Servo, LED, LCD and Buzzer output. The Webcam camera can take pictures and save them on the web and the RFID Reader detects E-KTP, the Fingerprint sensor detects fingerprints and then the LCD displays information that registration is successful. This tool is processed with an Arduino Mega 2560 microcontroller as a connection.
Improved adaptive multi-threshold method for automatic identification of rhinosinusitis in paranasal sinus images Putra, Ondra Eka; Sumijan, Sumijan; Tajuddin, Muhammad
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i1.pp119-129

Abstract

Rhinosinusitis, characterized by inflammation of the mucosa or mucous membrane within the paranasal sinuses, anatomical cavities situated in the facial bones, is the focus of this investigation. This study employs computed tomography (CT)-scan images comprising sagittal slices of the paranasal sinuses, acquired through a CT device featuring a Philips Ingenuity CT model MRC880 tube type, identified by tube serial number 163889, with a pixel value resolution of 0.24 mm. The primary objective of this research is to automatically identify and delineate rhizosinusitis-affected areas. This involves the application of multi-threshold values during the segmentation process, utilizing the improved adaptive multi-threshold (IAMT) segmentation method. The research dataset encompasses 380 slices of CTscans derived from 10 patients displaying indications of rhinosinusitis. Analysis of the test results reveals that the smallest observed rhinosinusitis size in this study is 0.05 cm2 on the right side, while the largest size measures 1.81 cm2 , yielding an accuracy rate of 96.66%. The magnitude of rhinosinusitis sizes serves as an indicative measure of the extent of inflammation within the paranasal sinus region, thereby suggesting a potential need for more intensive treatment interventions for the affected patients.
PERBANDINGAN KERNEL PENAJAMAN, GAUSSIAN BLUR DAN DETEKSI TEPI PADA CITRA OTAK Devita, Retno; Putra, Ondra Eka; Rianti, Eva
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 4 (2024): November 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i4.2271

Abstract

Citra otak merupakan gambar yang didapat dari proses pencitraan otak melalui teknologi medis seperti MRI (Magnetic Resonance Imaging), CT scan (Computed Tomography), atau PET scan (Positron Emission Tomography). Citra ini memberikan visualisasi dari struktur otak secara terperinci dan digunakan untuk mendeteksi atau mendiagnosa kondisi otak. Citra otak yang digunakan pada penelitian ini sebanyak 5 citra otak yang diproses menjadi 30 citra otak. Penelitian ini membandingkan kinerja kernel 7x7 dan 9x9 pada tiga jenis operasi utama dalam pengolahan citra otak yaitu penajaman, gaussian blur, dan deteksi tepi. Kernel penajaman diterapkan untuk memperjelas struktur halus dari citra, gaussian blur digunakan untuk mereduksi noise citra dan deteksi tepi bertujuan mengidentifikasi batas anatomi otak. Perbandingan dilakukan dengan mengevaluasi hasil dari dua ukuran kernel terhadap kualitas visual, tingkat detail, dan keberhasilan dalam mengidentifikasi fitur penting otak. Nilai tertinggi dari 5 citra yang didapat adalah kernel penajaman 7x7 pada citra 5 dengan MSE 4.832.932.323, RMSE 69.519.295 dan PSNR 11.288696 dB dan nilai terendahnya adalah kernel gaussian blur 9x9 pada citra 1 dengan MSE 16.747.259.747, RMSE 129.411.204 dan PSNR 5.891366 dB. Kesimpulannya, hasil terbaik pada penelitian ini adalah kernel 7x7 dilihat dari nilai PSNR.
EXPLANATION OF FEATURE EXTRACTION IN FACE RECOGNITION USING VIOLA JONES ALGORITHM Devita, Retno; Rianti, Eva; Yuhandri, Muhammad Habib; Putra, Ondra Eka
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 11, No 3 (2025): Juni 2025
Publisher : Universitas Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i3.3844

Abstract

Face recognition has become a common thing used in the field of surveillance and security in computer technology and image devices. This study aims to identify the usefulness of a person's face on 3 test images. This study examines the methods of cropping techniques, image enhancement through intensity measurement, and histogram analysis to improve the contrast and distribution of image intensity. In addition, the Viola-Jones algorithm is used to detect key facial features such as eyes, nose, and mouth. The results of the analysis are then applied in the feature evaluation stage, where usually between facial features are applied to measure the ratio of facial proportions. Furthermore, the comparison of proportional ratios of several images was analyzed using bar graphs and line graphs to evaluate the trend and stability of facial proportions. The results showed the best ratio stability with a smaller variation of the on-off ratio of image 2 which is 0.4762 pixels to 0.4983 pixels. Image 2 is the most ideal for face measurement systems based on geometric ratios because it provides more consistent and visible results.
Hybrid Data Mining For Member Determination And Financing Prediction In Syariah Financing Saving And Loan Cooperatives Ondra Eka Putra; Randy Permana
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 2 (2024): April 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i2.5683

Abstract

Syariah Financing Saving And Loan Cooperatives (KSPPS) is an Islamic financial institution aimed at people who are on the lower middle scale to lift the economy of small communities through microfinancing programs. Problems that often occur in member recommendations to get KSPPS financing are often not on target. In addition, The amount of member financing is often problematic due to a lack of analysis, resulting in poor financing instalments. This research aims to present an analysis model for clustering and classification using hybrid data mining algorithms. This research method is using hybrid data mining Algorithms, namely K-Medoids, Naïve Bayes, and k-Nearest Neighbors (k-NN). This study uses the historical dataset of the last two years on KSPPS BMT Dadok Tunggul Hitam as a total of 70 data samples. The analysis parameters consist of income, business, residence Status, financing application, billing history, and balance amount. The best analysis Model will be obtained by comparing the results between Naïve Bayes with K-Medoids, and K-Nearest Neighbor (k-NN) with K-Medoids. The results of this research showed the best performance is using the hybrid Naïve Bayes data mining model with K-Medoids which has an accuracy of 90.91% for data split 70:30, while performance with K-fold cross-validation shows an accuracy of 93.49% using this algorithm. Overall, the results of this study can provide an effective analysis model to determine the status of the loan.
Penilaian Tingkat Kepuasan Masyarakat Terhadap Pelayanan Pada Kantor Wali Nagari Bunga Pasang Salido Menggunakan Algoritma K-Means Hidayatullah, Genta Magribi; Putra, Ondra Eka; Rahmi, Nadya Alinda Rahmi; Akhiyar, Dinul
Jurnal Teknik dan Teknologi Tepat Guna Vol. 4 No. 1 (2025): Jurnal Teknik dan Teknologi Tepat Guna
Publisher : Riset Sinergi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Assessing public satisfaction is crucial for evaluating the quality of services provided by government agencies. The purpose of this study was to analyze public satisfaction with the services provided by the Bunga Pasang Salido Village Head Office. This study used the K-Means algorithm, a clustering technique commonly used in data analysis, to categorize respondents' satisfaction levels. This algorithm effectively categorizes respondents into categories such as dissatisfied, satisfied, and very satisfied based on their responses in a satisfaction survey. The dataset used in this study was derived from questionnaires completed by 61 respondents who interacted with the population administration service. The questionnaire data covered various aspects of service quality, including service process efficiency, officer attitudes, and overall user experience. The results of the clustering analysis showed that 27.87% of respondents were dissatisfied, 42.62% were satisfied, and 29.51% were very satisfied with the services provided. This classification provides valuable insights into areas for improvement and helps the Bunga Pasang Salido Village Head Office improve service quality. This study highlights the importance of using data-driven methods, such as the K-Means algorithm, in improving public sector performance and overall service quality.
Rancang Bangun Media Pembelajaran Pengenalan Hewan Dalam Bahasa Inggris Pada Siswa Sekolah Dasar Berbasis Mikrokontroler J, Shafa Adillah; Retno Devita, Retno Devita; Putra, Ondra Eka; Rianti, Eva
Jurnal Teknik dan Teknologi Tepat Guna Vol. 4 No. 1 (2025): Jurnal Teknik dan Teknologi Tepat Guna
Publisher : Riset Sinergi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of digital technology is driving innovation in education, particularly in creating interactive and engaging learning media for elementary school students. This research aims to design and build a microcontroller-based English learning media for first-grade elementary school students. This system integrates an Arduino Mega 2560 as the main controller, connected to various components such as touch sensors, RFID, push buttons, LEDs, LCDs, and a DFPlayer module to support interaction and learning. This system offers two main features: visual and audio animal name recognition, and an interactive quiz mode that tests students' understanding by providing multiple-choice questions based on the story. When students touch an animal image, the system displays the animal's name in English and Indonesian, along with pronunciation sounds and descriptions. The quiz can be accessed using an RFID card, and students answer using the touch sensor. Feedback is displayed via LEDs and audio from the speaker. Test results indicate that the system operates well and is responsive, and is able to increase students' interest in English lessons. This research is expected to provide an alternative solution for enriching foreign language learning methods at the elementary level with a simple yet effective technological approach.
Co-Authors Akbar Lusman Andro Nugraha Billy Hendrik Dinul Akhiyar Eva Rianti Fajrul Islami Febrianti, Eka Lia Hasri Awal Hidayatullah, Genta Magribi Ibnu Michael Jasman Ipriadi - J, Shafa Adillah Liga Mayola Lutfi Riady Putra Mardhiah Masril Muhammad Fikri Ramadhan Nanda Tommy Wirawan Pradani Ayu Widya Purnama Putri Salma Rahman, Sepsa Nur Rahmi, Nadya Alinda Rahmi Randy Permana Retno Devita Riandana Afira Ruri Hartika Zain Sri Rahmawati Sumijan Sumijan Tajuddin, Muhammad Teri Ade Putra Wahyudi, Niko Yuhandri Yuhandri, Yuhandri