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All Journal Mechatronics, Electrical Power, and Vehicular Technology Angkasa: Jurnal Ilmiah Bidang Teknologi Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat Journal of Applied Data Sciences AQILA : Acceleration, Quantum, Information Technology and Algorithm Journal
Nuryatno, Edi Triono
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering

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Water quality assessment monitoring system using fuzzy logic and the internet of things Fakhrurroja, Hanif; Nuryatno, Edi Triono; Munandar, Aris; Fahmi, Muhammad; Mahardiono, Novan Agung
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 14, No 2 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2023.v14.198-207

Abstract

Water utilization has recently been at its highest level of demand. The water needed to be clean, healthy, and determined to be suitable for consumption. Therefore, it is necessary to have a system that can monitor the water quality so thatinformation related to wate r suitability can be received regularly and in real-time. This paper addresses the critical need for real-time water quality monitoring systems. This study proposed a novel approach integrating the Tsukamoto fuzzy algorithm into an internet of things (IoT)-based framework, forming part of the Fuzzy Inference System. Our system serves as a decision support tool, enabling continuous assessment of water quality. The method categorizes water quality into three levels: good, moderate, and unhealthy, providing timely and precise suitability information. The results demonstrate the effectiveness of the fuzzy logic method in delivering accurate output. Through remotely deployed IoT devices, water suitability and status can be monitored and analyzed in real-time over the internet. This research bridges the gap between traditional water quality assessment methods and the demands of our modern, technology-driven society, ensuring a reliable supply of safe and consumable water.
The CNN Model with YOLO Architecture for Ultrasonography Images in Early Breast Cancer Detection Ayuningtyas, Astika; Wintolo, Hero; Sumari, Arwin Datumaya Wahyudi; Setyaningsih, Emy; Pujiastuti, Asih; Honggowibowo, Anton Setiawan; Nuryatno, Edi Triono; Kusumaningrum, Anggraini
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.587

Abstract

The rapid development of object detection technology has opened new opportunities in the healthcare sector, especially in early cancer detection. This paper presents a deep learning-based breast cancer detection system using ultrasound images. The primary goal of this study is to create a model that can effectively differentiate between malignant and benign breast tumors, assisting in early diagnosis. The proposed system employs the Convolutional Neural Network (CNN) algorithm with You Only Look Once version 5 (YOLOv5) architecture, which is renowned for its high speed and accuracy in object detection tasks. A dataset comprising 10,954 ultrasound images was used to train the model, with 70% allocated for training, 20% for validation, and 10% for testing. The study reveals that the model achieves a high accuracy rate of 92.8% for malignant tumor detection and 99.1% for benign tumors, with precision rates of 99.6% for malignant tumors and 97.5% for benign tumors. These results demonstrate the feasibility of the proposed model as a reliable tool for early breast cancer detection. The findings highlight the potential of deep learning in medical image processing, suggesting that this technology could be further developed into an accessible, efficient early detection system for breast cancer in clinical settings. Future research could explore the integration of additional imaging modalities and the application of this model in real-world healthcare environments
Application of Simple Additive Weighting Method for Decision Making for Scholarship Recipients at SMA Angkasa Adisutjipto Yogyakarta Indrianingsih, Yuliani; Pujiastuti, Asih; Mauidzhoh, Uyuunul; Leo, Muhammad; Nuryatno, Edi Triono
Compiler Vol 13, No 2 (2024): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v13i2.2660

Abstract

The SMA Angkasa Adisucipto Yogyakarta scholarship selection process requires an effective and objective approach to ensure that scholarships are awarded to students who meet the relevant criteria. The purpose of this study is to apply the Simple Weighting (SAW) method as a decision support in selecting scholarship recipients. The SAW technique was chosen because it allows for weighting calculations, allowing for a more systematic analysis of the criteria. The criteria used include student academic performance, attendance, behavior, and financial situation, each of which is weighted according to its importance. Eligible student data is processed using the SAW method to determine the final preference score, which is then used to rank prospective scholarship recipients. The results of the study indicate that the SAW method can make accurate and transparent decisions in selecting scholarship recipients. The application of the SAW method not only increases the efficiency of selection, but also reduces the subjectivity that occurs in the evaluation. In summary, the SAW method is very suitable as a decision-making tool based on various criteria, especially in selecting grant recipients.
Pengembangan Media Pembelajaran Berbasis Augmented Reality (AR) Terhadap Kemampuan Matematika Siswa SD Syafriza, Azizatul Alif; Nuryatno, Edi Triono; Ayuningtyas, Astika; Mustadi, Ali; Putra, Novan Ramdanu; Irawan, Ayu Endita
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 17, No 1 (2025): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v17i1.2740

Abstract

Pembelajaran media memainkan peran penting dalam mengisi interaksi antara guru dan siswa, terutama ketika meningkatkan konsep yang kompleks. Salah satu inovasi yang dapat digunakan adalah media pembelajaran digital seperti Augmented Reality (AR), yang memberikan pengalaman belajar yang interaktif dan menarik. Tujuan dari penelitian ini adalah untuk mengembangkan dan menganalisis efektivitas media pembelajaran berbasis AR dalam meningkatkan keterampilan matematika pada siswa sekolah dasar, terutama dalam materi geometris. Metode penelitian yang digunakan adalah model 3D yang mewakili perubahan model 4D (definisi, desain, pengembangan, distribusi). Hasil validasi menunjukkan bahwa media pembelajaran berbasis AR sangat cocok untuk belajar pada tingkat kelayakan 91%. Selain itu, efektivitas media ini telah terbukti sangat baik ketika meningkatkan pemahaman matematika kelas IV dengan skor rata -rata 89,70%. Hasil evaluasi untuk tujuh kelas juga menunjukkan peningkatan yang signifikan dengan rata -rata 83. Oleh karena itu, media pembelajaran berbasis AR adalah alternatif inovatif untuk meningkatkan pemahaman matematika di kalangan siswa sekolah dasar
Never Overlook Security Awareness on Deployment Sadewa, Rizki; Lubis, Muharman; Nuryatno, Edi Triono
Acceleration, Quantum, Information Technology and Algorithm Journal Vol. 1 No. 1 (2024): VOLUME 1, NO 1: JUNE 2024
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/aqila.v1i1.25

Abstract

Since preliminary evidence supports the association between security culture and information security awareness (ISA), more research is needed to determine how it interacts with organizational culture. Beyond variations in respondent nation or gender, the study's findings also demonstrate an association between stronger cyber expertise and level of cyber awareness. Additionally, awareness is linked to defense mechanisms but not the information they were willing to divulge.  People play an even more important role in the collaboration between those teams and the security team when security is incorporated into DevOps practices. Furthermore, security is crucial when creating essential systems since it allows us to control objectives, risks, and evidence. Labor only starts after implementing security into the DevOps toolchain. To establish a security culture, we are additionally required to start with behavioral alterations. One of the largest Sharia banks in Indonesia anticipated cyberattacks in 2023, demonstrating to us how crucial security is in the modern world. Although no one could claim that using one of the security solutions would guarantee absolute safety, information security technology is quite dynamic. Future studies could improve on the current findings by taking into account national culture. This study has the aim of proving that we are never satisfied by current security maturity even if you or your company is implementing the best security tools, because the vulnerability can come from that deployment and wherever the environment itself.
Pelatihan sistem informasi catatan Bimbingan Konseling (BK) bagi guru bimbingan konseling SMA di Kabupaten Sleman Nuryatno, Edi Triono; Ayuningtyas, Astika; Wahyudi Sumari, Arwin Datumaya; Nugraheny, Dwi; Pamungkas, Dedi Bintang; Agustian, Harliyus; Sajati, Haruno; Sudaryanto, Sudaryanto; Aryanto, Salam; Astuti, Yenni
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 7, No 3 (2024): Agustus
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v7i3.2227

Abstract

Guru Bimbingan Konseling (BK) yang tergabung dalam MGBK di wilayah Kabupaten Sleman membutuhkan perangkat lunak yang dapat membantu pekerjaan mereka dalam memberikan konseling kepada anak-anak Sekolah Menengah Atas (SMA) atau Sekolah Menengah Kejuruan (SMK). Dengan menggunakan perangkat lunak yang dapat diakses dimana saja akan sangat menguntungkan bagi Guru BK jika membutuhkan data di waktu apapun dan tempat manapun. Sehijngga para guru ini membutuhkan pelatihan untuk menggunakan perangkant lunak yang dapat diakses melalui halaman brower dengan Alamat catatanbk.com. Rata-rata nilai hasil pelatihan para peserta sejumlah 96,3.  Sebanyak 26 guru memiliki nilai diatas rata-rata dan 7 orang guru berada dibawah rata-rata.
Co-Authors Agustian, Harliyus Ali Mustadi Anggraini Kusumaningrum, Anggraini Anton Setiawan Honggowibowo Aris Munandar Arwin Datumaya Wahyudi Sumari Astika AyuningTyas, Astika Dwi Nugraheny, Dwi Emy Setyaningsih Fakhrurroja, Hanif Haruno Sajati Irawan, Ayu Endita Leo, Muhammad Mahardiono, Novan Agung Mauidzhoh, Uyuunul Muharman Lubis Pamungkas, Dedi Bintang Pujiastuti, Asih Putra, Novan Ramdanu Sadewa, Rizki Salam Aryanto SUDARYANTO SUDARYANTO Syafriza, Azizatul Alif Veithzal Rivai Zainal Wintolo, Hero Yenni Astuti, Yenni Yuliani Indrianingsih