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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi E-Dimas: Jurnal Pengabdian kepada Masyarakat Conference SENATIK STT Adisutjipto Yogyakarta Angkasa: Jurnal Ilmiah Bidang Teknologi Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat JISKa (Jurnal Informatika Sunan Kalijaga) Journal of Applied Data Sciences Jurnal Multidisiplin Madani (MUDIMA)
Anton Setiawan Honggowibowo
Institut Teknologi Dirgantara Adisutjipto, Yogyakarta
Aerospace Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Social Sciences

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SISTEM INFORMASI INTERAKTIF PADA TRANSAKSI PULSA DENGAN MENGGUNAKAN SMS GATEWAY Honggowibowo, Anton Setiawan
SENATIK STT Adisutjipto Vol 1 (2013): Kreativitas Anak Bangsa untuk Kemajuan Teknologi dan Informasi
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v1i0.48

Abstract

Information systems are generally used to support the viability of a business operation and management processes in an organization. To enhance the ability of information systems can be created an interactive information system, so it can provide rapid response and attractive to users. Interactive information system is more directed to the use of multimedia as a means of informing something. Multimedia is a combination of text, images, animations, sound and video. Various media are combined into a single unit of work will yield some information that has value that interactive communication is very high. The research will make a design of interactive information system on toll transaction using sms gateway. So the system can display the alarm and computer animated images on the screen when the computer is experiencing problems in the transaction pulse. In addition the system can also create video tutorial that shows step-by-step problem solving appropriate to the emergence of problems that occurred in the transaction pulse. With the information system interactive  it will help the operator pulses respond quickly to any problems in the credit transaction.
SISTEM PAKAR DIAGNOSA INFEKSI SALURAN PERNAFASAN PADA BALITA MENGGUNAKAN BAYESIAN NETWORK honggowibowo, anton setiawan
SENATIK STT Adisutjipto Vol 3 (2017): Dukungan Teknologi Untuk Pengembangan Industri Dirgantara Indonesia
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v3i0.107

Abstract

At present in developing countries, especially in Puskesmas very rarely encountered health workers, especially specialists. Though parents are in need of specialists, especially a specialist in the field of child health sciences. Puskesmas officials often have difficulty in deciding what diseases suffered by children because of lack of knowledge about the types of infectious diseases caused by bacteria. This is where the role of an expert or an expert in the field of childhood disease is needed. Therefore, to handle the problem it requires an expert system to diagnose respiratory infections in infants so that this system can be used to diagnose respiratory infections in infants using Bayesian Network method to determine what kind of illness and how to solve it. Maksimal 200 kata berbahasa Inggris dicetak miring dengan Times New Roman 10 point. Abstrak harus jelas, deskriptif, dan harus memberikan gambaran singkat masalah yang diteliti. Pada umumnya harus diikuti dengan pernyataan tentang metodologi dan ringkasan singkat hasil penelitian. Abstrak harus diakhiri dengan komentar tentang pentingnya hasil atau kesimpulan singkat.
The Scheduling System of Civil Aviation Based on Web-Based Aviation Safety Regulation Honggowibowo, Anton Setiawan; Retnowati, Nurcahyani Dewi; Wiyono, Koko
SENATIK STT Adisutjipto Vol 5 (2019): Peran Teknologi untuk Revitalisasi Bandara dan Transportasi Udara [ISBN 978-602-52742-
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v5i0.301

Abstract

Cabin crew scheduling in the world of flight must be made very carefully. Because in making cabin crew scheduling there are several requirements that must be met by the scheduling officer such as flight time, cabin crew working hours and rest hours. In making the scheduling it takes a long time because the scheduling officer must ensure the cabin crew's duties in carrying out their duties do not exceed or violate these requirements. Therefore, a cabin crew scheduling system was created to assist schedulers in making cabin crew scheduling using PHP and Oracle databases. This scheduling system is designed to be able to calculate flight time, cabin crew working hours and cabin crew rest time so that scheduling officers no longer have difficulty synchronizing these requirements so that cabin crew officers do not violate these requirements with just one step in the process. This system succeeds in doing 9 Minutes 50 Seconds faster than doing it manually in making just 1 flight route. The time difference can be greater if in 1 day there are more than 1 flight route.
Developing a Decision Support System of Land Location for Apartment Investment Using Fuzzy MADM Yager Model Honggowibowo, Anton Setiawan
SENATIK STT Adisutjipto Vol 4 (2018): Transformasi Teknologi untuk Mendukung Ketahanan Nasional [ ISBN 978-602-52742-0-6 ]
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v4i0.221

Abstract

Determining the location of land for apartment investment is usually done manually by relying on intuition, experience, and some considerations from the apartment developer. For this reason, the determination of the location of the land must go through the right analysis and calculation so that the best location can be determined from various criteria. Fuzzy Multiple Attribute Decision Making (FMADM) method Yager model is a decision support system method that can be used in this system. This FMADM method will compare alternative locations with predetermined criteria including land prices, land area, road access, land conditions, and the environment. The final result of this process is the selection of total values to obtain alternative locations, so that the best results from three alternative locations are obtained, namely Banguntapan with the largest total value of 0.600, Seturan with values of 0.085, and Kulon Progo with a value of 0.292. So the location of Banguntapan can be used as a recommendation for the developer in making a decision to determine the location of the land for apartment investment
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
Co-Authors A.A. Ketut Agung Cahyawan W Agustian, Harliyus Akbar Maulana Tirta Alprianta, Hizkia Anggraini Kusumaningrum Anggraini Kusumaningrum, Anggraini Anis Syaul Umami Ari Restani Ari Wibowo Ari Wibowo Arwin Datumaya Wahyudi Sumari Astika Ayuningtyas Astika Ayuningtyas Astika AyuningTyas, Astika Atika Rina Baginda Suryanto Baiq Dinasti Gita Purnama Putri Dewi, Ni Kadek Ceryna Dimas Satriadi Dwi - Nugraheny Dwi Nugrahenny, Dwi Dwi Nugraheny Dwi Nugraheny Dwi Nugraheny Dwi Nugraheny Dwi Nugraheny, Dwi Dwi Prasetiyo Dwipayani, Made Intan Eko Suryanto Eko Suryanto Emy Setyaningsih Erika Silvia Sihombing Fera Suprapti Freddy Kurniawan Gita Purnama Putri, Baiq Dinasti Hadiyanti, Widya Anggraeni Hamdani Widyatmoko HARLIYUS AGUSTIAN Harliyus Agustian Haruno Sajati Hasibuan, Piniel Romulia Hizkia Alprianta Humaerah, Mutiah Ifrisma, Irisma Irawaty, Mardiana Irisma Ifrisma Ismi Yuniati Istiqomah Nuraini Linda Putri Susanti Made Intan Dwipayani Mandasari, Yofy Marinata Vanny Tarida Sitohang Maya Suhayati Mega Lesya Mukti, Mega Lesya Muhammad Rivai Muhammad Syaifuddin Muntaqi, Rifdan Mutiah Humaerah Ni Kadek Ceryna Dewi Nurcahyani Dewi Retnowati Nurcahyani Dewi Retnowati Nurcahyani Dewi Retnowati Nuryatno, Edi Triono Omara, Safik Pandapotan Pandapotan Pandapotan, Pandapotan Piniel Romulia Hasibuan Prasetiyo, Dwi Pujiastuti, Asih Restani, Ari Rifdan Muntaqi Rina Widiastuti Rina Widiastuti, Rina Rina, Atika Safik Omara Saiful Bahri Salam Aryanto Saprudin - - Sapto Aji Wibowo Saputra, Vendy Yuda Satriadi, Dimas Sembiring, Rinawati Sihombing, Erika Silvia Siti Anisah Siti Anisah Sitohang, Marinata Vanny Tarida Slamet Santosa Sudirman Sudirman Suhayati, Maya Sumarsono Sumarsono Sumarsono Sumarsono Suprapti, Fera Suryanto Suryanto Suryanto Suryanto Suryanto, Baginda Susanti, Linda Putri Tirta, Akbar Maulana Titien Sediartie Titien Sediartie Umami, Anis Syaul Vendy Yuda Saputra Widya Anggraeni Hadiyanti Widyatmoko, Hamdani Wintolo, Hero Wiyono, Koko Yofy Mandasari Yoga Yuniadi Yuliani Indrianingsih Yuliani Indrianingsih Yuliani Indrianingsih Yuliani Indrianingsih Yuliani Indrianingsih Yuniati, Ismi