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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Teknologi INTI Nusa Mandiri Jurnal Tecnoscienza
Adi Widiatmoko Wastumirad
Sekolah Tinggi Meteorologi Klimatologi dan Geofisika
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Mathematics Other

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Implementasi Honeypot Menggunakan Dionaea Dan Kippo Sebagai Penunjang Keamanan Jaringan Komunikasi Komputer Adi Widiatmoko Wastumirad; Moh Irzam Darmawan
Jurnal Teknologi Vol 9, No 1 (2021): Jurnal Teknologi
Publisher : Universitas Jayabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31479/jtek.v9i1.119

Abstract

Today, the internet has become the most used tool for delivering information. Through the internet, people can search for information by freely accessing a web page. This freedom of access often raises security issues in the website provider's internal network. These security issues can be in the form of misuse of information, threats, and other attacks on the provider's internal network. Based on these conditions, a technique is needed to protect important data on the website owner's server from various attacks. In this research, a Honeypot security system has been implemented using Dionaea and Kippo in the Demilitarized Zone to increase the security of a network. The methodology of this research is Waterfall Model for software engineering. The system that has been built is able to detect, take action, record attack logs and display them in the form of a website in real time.
Rancang Bangun Sistem Pengamatan Medan Magnet Bumi Berbasis Smartphone Adi Widiatmoko Wastumirad; Muchammad Rafi Nuril Azhar; Fakhri Fawwaz Al-Aufa
JURNAL TECNOSCIENZA Vol. 7 No. 2 (2023): TECNOSCIENZA
Publisher : JURNAL TECNOSCIENZA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51158/tecnoscienza.v7i2.935

Abstract

Penelitian ini bertujuan untuk membuat rancang bangun sistem pengamatan medan magnet bumi dan anomali medan magnet bumi, menggunakan sensor magnet yang terdapat pada smartphone. Data medan magnet yang diperoleh, disimpan pada suatu basis data dan dikirimkan ke web service untuk diolah, lalu dikirimkan ke aplikasi berbasis android yang diberi nama Magneview. Penentuan anomali medan magnet bumi dilakukan dengan mengolah data medan magnet bumi pada spektrum ULF menggunakan metode polarisasi rasio Z/H dan dijalankan pada web service. Hasil pengujian menunjukkan bahwa sistem berhasil melakukan pembacaan data medan magnet. Data polarisasi rasio Z/H (PDay) yang didapatkan sebanyak 7 data selama 7 hari mulai dari tanggal 27 Juli 2021 hingga tanggal 2 Agustus 2021 dengan nilai PDay tertinggi tercatat sebesar 1,42004 pada tanggal 31 Juli 2021 dan nilai PDay terkecil tercatat sebesar -2,05576 pada tanggal 1 Agustus 2021.
Design and Development of IoT-Enabled Portable Device for Multiparameter Air Quality Monitoring DERBY BRYLIAN ADINARA; AGUSTINA RACHMAWARDANI; ADI WIDIATMOKO WASTUMIRAD; BENYAMIN HERYANTO RUSANTO; DWI INDRA PRASETYO; HANIF KURNIAWAN; ABDUL MANAF HANI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 4: Published November 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i4.339

Abstract

The limitations of Indonesia's air quality monitoring infrastructure have prompted research to develop portable Internet of Things (IoT)-based monitoring devices. The system is designed using ESP32 and Arduino Uno integrated with MQ136 (SO2), MQ131 (NO2), MiCS-5524 (CO), TGS-2611 (CH4), Gravity-0460 (PM), and Gravity-0321 (O3) sensors. Data is converted into AQI values and displayed via LCD, Telegram, and website. The device is equipped with an early warning system that includes a buzzer, a website pop-up, and Telegram messages. Field testing results over 24 hours at POS KU Cibeureum recorded peak concentrations of PM2.5 (19 μg/m³), PM10 (58 μg/m³), NO₂ (1.375 ppb), CO (238 ppb), SO₂ (0.74 ppb), and O₃ (45 ppb). The device can be operated portably with the following dimensions: enclosure I, 20×20 cm; enclosure II, 7×12 cm; control panel box, 30×40 cm (pre-assembled) and 100×180 cm (post-assembled). The device has proven effective as an adaptive monitoring solution for residential areas surrounding industrial zones.
Rancang Bangun Sistem Pengamatan Medan Magnet Bumi Berbasis Smartphone Adi Widiatmoko Wastumirad; Muchammad Rafi Nuril Azhar; Fakhri Fawwaz Al-Aufa
JURNAL TECNOSCIENZA Vol. 7 No. 2 (2023): JURNAL TECNOSCIENZA
Publisher : JURNAL TECNOSCIENZA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51158/tecnoscienza.v7i2.935

Abstract

Penelitian ini bertujuan untuk membuat rancang bangun sistem pengamatan medan magnet bumi dan anomali medan magnet bumi, menggunakan sensor magnet yang terdapat pada smartphone. Data medan magnet yang diperoleh, disimpan pada suatu basis data dan dikirimkan ke web service untuk diolah, lalu dikirimkan ke aplikasi berbasis android yang diberi nama Magneview. Penentuan anomali medan magnet bumi dilakukan dengan mengolah data medan magnet bumi pada spektrum ULF menggunakan metode polarisasi rasio Z/H dan dijalankan pada web service. Hasil pengujian menunjukkan bahwa sistem berhasil melakukan pembacaan data medan magnet. Data polarisasi rasio Z/H (PDay) yang didapatkan sebanyak 7 data selama 7 hari mulai dari tanggal 27 Juli 2021 hingga tanggal 2 Agustus 2021 dengan nilai PDay tertinggi tercatat sebesar 1,42004 pada tanggal 31 Juli 2021 dan nilai PDay terkecil tercatat sebesar -2,05576 pada tanggal 1 Agustus 2021.
KLASIFIKASI INTENSITAS HUJAN PER JAM MENGGUNAKAN 1D-CNN BERBASIS TINYML DENGAN KALIBRASI AMBANG PRECISION-RECALL Revangga Kusuma Dhani; Agustina Rachmawardani; Marzuki Sinambela; Adi Widiatmoko Wastumirad
INTI Nusa Mandiri Vol. 21 No. 1 (2026): INTI Periode Agustus 2026
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v21i1.8794

Abstract

Hydrometeorological disasters dominate annual disaster occurrences in Indonesia, yet local rainfall prediction remains challenging due to atmospheric complexity and limited resolution of numerical weather models. Server-based forecasting systems further depend on high-performance computing infrastructure and stable network connectivity that are not always available in the field. This study develops an hourly rainfall intensity classification model based on One-Dimensional Convolutional Neural Network (1D-CNN) deployable on an ESP32-S3 microcontroller as a proof-of-concept inference component for rainfall early warning systems. The model uses nine meteorological features arranged in an 18×9 sliding window derived from observational data from the BMKG Soekarno-Hatta Meteorological Station AWS from 2018 to 2025. Logarithmic class weighting and Precision-Recall curve threshold calibration were applied to address extreme class imbalance in hourly resolution data. The model was compared against five baseline models under identical configurations. Threshold calibration increased K2 recall from 0.037 to 0.236 and improved Macro-F1 from 0.461 to 0.530, outperforming all baseline models in terms of Macro-F1. Post-training quantization INT8 reduced model size from 185.8 KB to 64.8 KB with 99.02% decision agreement against the Float32 model. On-device inference on ESP32-S3 achieved a total latency of 13.873 ms with 36.5 KB tensor arena and 234.7 KB free heap, confirming real-time operation without dependence on servers or internet connectivity.
Co-Authors ABDUL MANAF HANI Agustina Rachmawardani BENYAMIN HERYANTO RUSANTO DERBY BRYLIAN ADINARA DWI INDRA PRASETYO Fakhri Fawwaz Al-Aufa HANIF KURNIAWAN Marzuki Sinambela Moh Irzam Darmawan Muchammad Rafi Nuril Azhar Revangga Kusuma Dhani