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All Journal Jurnal Simantec Sistem : Jurnal Ilmu-Ilmu Teknik Konvergensi Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Informatik : Jurnal Ilmu Komputer JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Systemic: Information System and Informatics Journal Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Applied Technology and Computing Science Journal Jurnal Sistem Informasi dan Informatika (SIMIKA) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) ABDI MASSA: Jurnal Pengabdian Nasional Journal of Students‘ Research in Computer Science (JSRCS) Informatics, Electrical and Electronics Engineering Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat JEECS (Journal of Electrical Engineering and Computer Sciences) Jurnal Rekayasa Sistem Informasi dan Teknologi Jurnal Informatika Polinema (JIP) Jurnal Informatika: Jurnal Pengembangan IT Journal of Science and Social Development AT-TAKLIM: Jurnal Pendidikan Multidisiplin
Kridoyono, Agung
Universditas 17 Agustus 1945 Surabaya
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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PEMBUATAN SISTEM PEMANTAUAN PH DAN PPM AIR PADA HIDROPONIK BERBASIS IoT Agus Hermanto; Tony Ahmad Husein Al Mubarok; Agung Kridoyono
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 8 No. 1 (2025): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v8i1.3446

Abstract

The reduction in agricultural land due to being converted into housing and urban areas means that the amount of food production is decreasing. Based on the problems above, the author offers an innovation to overcome the problem of food security through "Smart Farming". This innovation can be implemented by the community using the concept of integrated agriculture with fisheries which is easy to apply on minimal land which has not been utilized properly. However, currently There is currently no system that can monitor the pH and PPM levels of water automatically and easily. This has an impact on the poor quality of hydroponic plant production so that it cannot be sold to consumers and causes losses for this business Internet of Things (IoT) and website, this smart farming innovation was developed as a system for monitoring the condition of pH and PPM levels of water in hydroponic planting media. The development of a website-based pH and PPM monitoring system offers an innovative approach in utilizing technology to overcome the challenges of monitoring water quality effectively. By utilizing the advantages of information technology and the internet, this system can become an important solution in supporting efforts to protect the environment and sustain water resources in the future.
Analisis Daya dan Performa Sistem Pengamanan Kendaraan Berbasis Internet of Things Mochamad Sidqon; Agung Kridoyono; Elvianto Dwi Hartono; Anton Breva Yunanda
Journal of Students‘ Research in Computer Science Vol. 6 No. 2 (2025): November 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/9rsach90

Abstract

A power analysis and performance study of a vehicle safety system combines vehicle contactor control, battery voltage monitoring, and an automatic disconnect feature to maintain power stability. Quantitative system performance measurements using statistical and probability approaches included connection reliability, voltage drop patterns, current distribution, and the relationship between operating time and power consumption. A total of 300 observation data sets were collected from a controlled testing process. The results show that battery voltage drop follows a negative linear trend with a correlation coefficient of -0.54, indicating a moderate relationship between load duration and voltage degradation. Analysis of relay response probabilities and WiFi connectivity showed a 96.3% success rate and a 3.7% probability of connection failure under standard network conditions. The distribution of errors in voltage measurements tended to follow a log-normal pattern based on the Kolmogorov–Smirnov test. The findings confirm that the safety control system performs stably in most test scenarios, but requires specific optimization when peak currents occur
Real Time Fishpond Monitoring to Optimize a Nursery Freshwater with Distribution Database Agung Kridoyono; Mochamad Sidqon
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 1 (2018): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v3i1.138

Abstract

The aim of my research is to optimize a nursery freshwater by fishpond monitoring that can be displayed on desktopbase so the behavior of fish with fishpond condition can be observed how suitable fish against fishpond where anursery is affected by the place , the media and the condition. The data were drawn on monitoring is temperatureand humidity by more than one sensor taken using one microprocessor. Using temperature sensor to get datacondition in fishpond, data from fishpond is processed by microcontroller as an input and sent to desktop to displaythen distributed on database for data record in real time asynchronous serial communication between PC andmicrocontroller. Getting ideal condition is the goal of this device, because real time data communication ifsomething wrong or not suitable on media, the fishpond condition can be handled directly by fitting the volume offish or the condition of water. 28-300C is ideal temperature condition for seedling that influence the appetite of thefish. By using realtime database distribution methodology, The influence of fish quantity and nursery media can beobserved and fish behavioral can be recorded every season.
PENERAPAN METODE U-NET DALAM SEGMENTASI CITRA ULTRASONOGRAFI UNTUK VISUALISASI TUMOR PAYUDARA Agung Kridoyono; Elvianto Dwi Hartono; Bagus Winarno
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.7775

Abstract

Tumor payudara merupakan benjolan dipayudara. Timbulnya benjolan pada payudara dapat merupakan indikasi adanya jenis tumor atau kanker payudara. Namun, untuk memastikan perlu dilakukan pemeriksaan patalogis. Tumor payudara adalah kondisi yang disebabkan oleh pertumbuhan sel yang tidak normal pada kelenjar, jaringan ikat, maupun saluran ASI di payudara. Tumor payudara dapat bersifat jinak ataupun Ganas ( Kanker). Penggunaan citra digital telah dimanfaatkan dalam berbagai bidang, termasuk dalam bidang medis. Salah satu contohnya adalah penggunaan citra digital untuk mendeteksi lokasi organ vital dalam tubuh manusia. Tujuan dari penelitian ini adalah untuk menghasilkan bentuk potongan area Payudara dengan menerapkan metode segmentasi deep learning dan memvisualisasikan hasil-nya. Tahapan penelitian ini dilakukan dengan akuisisi citra USG, diikuti oleh proses image preprocessing untuk meningkatkan kualitas citra agar hasil proses segmentasi menjadi lebih baik, dilanjutkan dengan menerapan metode segmentasi. Penelitian ini berfokus pada penggunaan metode U-Net untuk segmentasi tumor payudara pada citra ultrasound ( USG ) dan memvisualisasikan-nya. Dengan menggunakan arsitektur U-Net dalam penelitian mendalam untuk segmentasi tumor payudara pada citra ultrasound ( USG ), penelitian ini diharapkan dapat memberikan visualisasi yang lebih presisi. Segmentasi tumor payudara pada citra ultrasound ( USG ) dapat digunakan sebagai referensi bagi dokter spesialis kesehatan dan professional lainnya untuk melakukan penelitian lebih lanjut. Dari hasil implementasi, dilakukan training terhadap dataset tumor payudara dan menghasilkan akurasi training sebesar 88.79%. Berdasarkan hasil yang didapatkan, metode U-Net dapat digunakan pada segmentasi tumor payudara pada citra ultrasound ( USG ).
SISTEM DETEKSI JATUH UNTUK MENINGKATKAN KESELAMATAN LANSIA MENGGUNAKAN SENSOR MPU-6500 DAN ESP32 BERBASIS IOT Ravi Bimantara; Agung Kridoyono; Mochamad Sidqon; Anton Breva Yunanda; Istantyo Yuwono
Informatik : Jurnal Ilmu Komputer Vol 22 No 2 (2026): August 2026
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v22i2.11961

Abstract

Falls are one of the major risks threatening the safety of the elderly, potentially causing serious injuries or even death. To mitigate this risk, this study developed an Internet of Things (IoT)-based fall detection system using the MPU-6500 sensor and ESP32 microcontroller. The system is designed to be portable and worn in the user's pocket, detecting abnormal motion patterns through the analysis of body acceleration and orientation data. The research methodology includes hardware and software requirements analysis, the design of a fall detection algorithm based on sum vector values and body orientation angles, and integration with a Telegram bot for real-time notifications. The system provides alerts through a wearable alarm, an external siren, and automated messages sent to caregivers or family members. Implementation results show that the system can detect falls accurately, respond quickly, and operate efficiently on low power, making it a practical and cost-effective solution to enhance elderly safety.
Co-Authors Agus Hermanto Ahmad Abdur Rozaq Akhmad Dicky Harianto Akhmad Dicky Harianto Ameloddin Amimus An'Nissaa Anton Breva Yunanda Anton Breva Yunanda Anton Breva Yunanda Aris Sudaryanto Aris Sudaryanto Aris Sudaryanto Armin, Aidil Primasetya bagus hardiansyah Bagus Winarno Breva Yunanda, Anton Budi Yanto Budi Yanto, Budi Budiarti, Rizqi Putri Nourma Danang Ario Wibowo Dimas Sasongko Dimas Sasongko Dimas Sasongko Feby Ade Arvianto hardiansyah, bagus Harton, Elvianto Dwi Hartono, Elvianto Dwi Istantyo Yuwono, Istantyo Jani, Muaffaq Achmad Mochamad Shidqon Mochamad Sidqon Mochamad Sidqon Mochamad Sidqon Mufida, Laila Syita Muhammad Rois Udin Muhammad Santriko Muhammad Sidqon Muhammad Umar Al Faruq Muhammad Wali Muhammad Wali, Muhammad Narulita, Luvia Friska Novica Ogidia Bella Ogidia Bella, Novica Prasetya, Dhio Ega Purnomo, Jarot Bangun Ravi Bimantara Riadi Savilla Tifania Mahadewi Shidqon, Mochamad Sidqon, Mochamad Sidqon, Muhammad Sudaryanto, Aris Syaifudin, Irfan Tony Ahmad Husein Al Mubarok Udin, Muhammad Rois Yohanes Aditya Wisnu W Yunanda, Anton Breva Zahra, Caroline Azalea