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All Journal Jurnal Sains dan Teknologi Jurnal Simetris TELKOMNIKA (Telecommunication Computing Electronics and Control) Prosiding Semnastek JUITA : Jurnal Informatika ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Teknologi dan Sistem Komputer Jurnal Meteorologi Klimatologi dan Geofisika METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Indonesian Physical Review Social, Humanities, and Educational Studies (SHEs): Conference Series Scientific Journal of Informatics Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram International Journal of Electrical, Computer, and Biomedical Engineering (IJECBE)
Hapsoro Agung Nugroho
Sekolah Tinggi Meteorologi Klimatologi Dan Geofisika
Astronomy Biochemistry, Genetics & Molecular Biology Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Social Sciences Other

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State of the Art of Remote Sensing in Flood Early Warning System: Review Article Agustina Rachmawardani; Giarno Giarno; Hapsoro A. Nugroho; Suharni Suharni; Dedi Sucahyono; Hariyanto Hariyanto; Sastra K. Wijaya
Social, Humanities, and Educational Studies (SHES): Conference Series Vol 5, No 4 (2022): Social, Humanities, and Educational Studies (SHEs): Conference Series
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (827.046 KB) | DOI: 10.20961/shes.v5i4.68977

Abstract

Sebagai negara tropis, Indonesia khususnya Jakarta sebagai ibukota negara mempunyai resiko terjadinya banjir yang cukup tinggi. Dampak banjir akan berpengaruh pada seluruh aspek kehidupan manusia. Selama kejadian banjir, laporan situasi yang tepatwaktu dan terperinci diperlukan oleh otoritas manajemen bencana untuk menemukan dan mengidentifikasi daerah yang terkena dampak  untuk menerapkan mitigasi kerusakan. Peringatan dini  banjir konvensional memanfaatkan data-data pengamatan ground station seperti data curah hujan, ketinggian aliran sungai maupun data debit sungai. Tidak semua wilayah yang terdampak banjir dicover oleh jaringan sensor ground station. Penginderaan jauh menyediakan data yang tepat dan berbiaya rendah dibanding dengan pengamatan lapangan, selain itu sistem penginderaan jauh juga dapat melakukan deteksi banjir lebih tepat dan mendekati real time. Sistem penginderaan jauh pada satelit dapat memberikan banyak informasi yang diperlukan untuk menggambarkan daerah yang terkena dampak banjir, menilai kerusakan, dan input yang tepat pada pemodelan banjir sehingga dapat memprediksi kerentanan banjir di daerah yang terkena dampak banjir.
DESIGN OF TILT TABLE FOR ABSOLUTE ACCELEROMETER CALIBRATION Moh. Mambaul Ulum; Hapsoro Agung Nugroho; Marzuki Sinambela
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 7 No. 1 (2023): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol7No1.pp118-122

Abstract

An accelerometer is used in applications that require measurements of absolute or relative acceleration. Tilt table (roll table) is a flat plane whose tilt can be changed. In BMKG (Climatology and Geophysics Meteorological Agency) there are two methods to calibrate accelerometer, namely calibration using relative sine waves and absolute calibration using the media acceleration due to gravity. The tilt table is used as an absolute accelerometer calibration aid. The tilt table uses a DC motor and gear ratio as the actuator to move so that the resolution of the angle changes on the axis of the tilt table will be smaller and smoother. The tilt table is able to assist the technician in calibrating the accelerometer with minimal angle movements so that the inclination settings at the time of calibration are more precise proved by the result of the comparison. The horizontal axis correction is 2,27o and the vertical is 2,31o.
Comparative Analysis of LSTM and Bi-LSTM Models for Earthquake Occurrence Prediction in Tokai-Japan Region Hamdi, Azhari Haris Al; Nugroho, Hapsoro Agung; Kusumoputro, Benyamin
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 4 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i4.87

Abstract

This study compares the performance of Long Short-Term Memory (LSTM) and Bidirectional LSTM (Bi-LSTM) models in predicting earthquake occurrences in the Tokai region, using data from the United States Geological Survey (USGS) dataset. Given the importance of accurate earthquake prediction, particularly in high-risk regions, this research focuses on assessing the effectiveness of each model in identifying occurrence and non-occurrence events. Both models were tuned to optimize sensitivity and specificity through adjustments in sequence length, learning rate, and additional hyperparameters, with results evaluated using metrics including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC). Findings reveal that while both models achieved high sensitivity, the LSTM model demonstrated superior specificity and AUC, indicating a more balanced performance in distinguishing between earthquake occurrences and non-occurrences. The results show that LSTM outperforms Bi-LSTM in terms its classification metrics. LSTM achieved an accuracy of 76%, compared to 55% for Bi-LSTM. For the AUC metric, LSTM scored 66%, while Bi-LSTM scored 67%.
Prediksi Tegangan Catu Daya Automatic Rain Gauge berdasarkan Seasonality Algoritma Prophet RAMDHANI, ERICH PUTRA; NUGROHO, HAPSORO AGUNG
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 1: Published January 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i1.80

Abstract

ABSTRAKAutomatic Rain Gauge (ARG) adalah sebuah alat yang digunakan untuk melakukan pemantauan dan mengukur curah hujan pada suatu daerah dengan satuan waktu secara otomatis. ARG mampu merekam data curah hujan secara kontinu selama 24 jam. Salah satu elemen kunci dari ARG adalah komponen catu daya. Jika terjadi gangguan pada komponen ini, hal tersebut dapat menghambat proses pengamatan curah hujan yang dijalankan oleh BMKG. Penelitian ini dilakukan untuk meminimalisir terjadinya permasalahan pada catu daya dengan merancang model untuk memprediksi tegangan catu daya ARG dengan memanfaatkan data hasil monitoring menggunakan sensor INA219. Proses prediksi dilakukan dengan menggunakan parameter seasonality daily true, seasonality weekly false, dan seasonality false dan seasonality mode additive dimana diperoleh nilai MAE sebesar 0.21 dan MAPE sebesar 1.67%.Kata kunci: curah hujan, automatic rain gauge, prediksi, tegangan ABSTRACTThe Automatic Rain Gauge (ARG) is a device utilized to automatically monitor and measure rainfall in a specific area over time intervals. ARG is capable of continuously recording rainfall data for 24 hours. A key element of the ARG is its power supply component. If there is a disruption to this component, it can hinder the process of rainfall observation. Carried out by BMKG. This research is conducted to minimize issues with the power supply by designing a model to predict the voltage of the ARG's power supply using data obtained from monitoring using the INA219 sensor. The prediction process is carried out using parameters such as daily seasonality true, weekly seasonality false, and yearly seasonality false and additive seasonality mode. The obtained MAE value is 0.21 and the MAPE value is 1.67%.Keywords: rainfall, automatic rain gauge, predict, voltage
Rancangan dan Implementasi Sistem Monitoring Bencana Frost (Embun Beku) JUFRI, RAVYDO ANGGARA; NUGROHO, HAPSORO AGUNG; KRISTIANTO, ARIES; SEPTIADI, DENI; VIRGIANTO, RISTA HERNANDI; NUGRAHEINI, IMMA REDHA; SOEGIARTO, ITA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 2: Published April 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i2.288

Abstract

ABSTRAKDaerah dataran tinggi Dieng merupakan wilayah terdampak fenomena embun beku selama musim kemarau. Fenomena ini menjadi ancaman serius bagi petani di wilayah tersebut dikarenakan embun beku dapat merusak tanaman dan merugikan hasil panen. Dalam penelitian ini, sebuah sistem deteksi embun beku dirancang untuk mengidentifikasi dan mengetahui keberadaan embun beku pada pertanian secara real-time. Hasil pengujian di lokasi menunjukkan bahwa sistem mendeteksi kondisi “Waspada”, kemudian mengirimkan notifikasi dan peringatan ke website, saat nilai output dari sensor DHT22 menunjukan suhu udara bernilai 1°C, kelembaban udara bernilai 91%, suhu titik embun bernilai 0°C, nilai output sensor anemometer menunjukkan kecepatan angin bernilai 5.12 m/s, serta nilai ouput sensor wind vane direction menunjukan arah angin di 331°.Kata kunci: embun beku, pertanian, sistem monitoring, dieng ABSTRACTThe Dieng plateau area is an area affected by frost phenomena during the dry season. This phenomenon poses a serious threat to farmers in the region as frost can damage crops and harm yields. In this research, a frost detection system is designed to identify and know the presence of frost on agriculture in real-time. The results of on-site testing show that the system detects "Alert" conditions, then sends notifications and alerts to the website, when the output value of the DHT22 sensor shows the air temperature is 1°C, the air humidity is 91%, the dew point temperature is 0°C, the anemometer sensor output value shows the wind speed is 5.12 m/s, and the wind vane direction sensor output value shows the wind direction at 331°.Keywords: frost, agriculture, monitoring system, dieng
Performance Comparison of 1D-CNN and LSTM Deep Learning Models for Time Series-Based Electric Power Prediction SUKATMO, SUKATMO; NUGROHO, HAPSORO AGUNG; RUSANTO, BENYAMIN HERYANTO; SOEKIRNO, SANTOSO
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 1: Published January 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i1.44

Abstract

Accurate electrical power prediction is essential for efficient energy management, especially in institutions with dynamic energy needs. This study compares the performance of 1D-CNN and LSTM for time series based electrical power prediction, using a dataset from the Building Automation System (BAS) of STMKG building. The evaluation metrics Mean Squared Error (MSE) and Mean Absolute Error (MAE) are used to measure accuracy. The results show that the LSTM had an average MSE value of 3.35E-04±0.00013 and an MAE of 0.01312±0.0079 across 10 trials. This is slightly better than the 1D-CNN, which had an average MSE value of 4.68E-04±0.0003 and an MAE of 0.01855±0.00586. Despite the marginal difference, 1D-CNN provides a computational time efficiency advantage of 63.08s, 1D-CNN is about 84.19% faster.
Analysis of Correction for the Indonesian People's Accelerograph (ARI) based on MEMS ADXL 355 Satrio, Adji; Hidayat, Nurul; Martha, Agustya Adi; Widodo, Handi Sulistyo; Nugroho, Hapsoro Agung; Akram, Rafi Syah; Sutejo, Bayu; Prakoso, Tio Azhar
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 13, No 2: April 2025
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v13i2.15139

Abstract

Indonesia, geographically situated on the Pacific Ring of Fire, has one of the highest potentials for earthquake and tsunami disasters worldwide, second only to Japan. These seismic events pose significant threats, including loss of life and infrastructure damage. One of the key strategies to mitigate earthquake risks is the implementation of Earthquake Early Warning System (EEWS) technology, which heavily relies on the spatial distribution of accelerographs. The Indonesian People's Accelerograph (ARI) has been designed as an affordable and independently built solution to record ground vibration acceleration, utilizing the MEMS-based ADXL 355 sensor and an ESP32 microcontroller for efficient EEWS implementation. This study focuses on the development and correction of the ARI system to enhance instrument response accuracy by analyzing ground acceleration vibration data through an inversion-based method applied to ARI recordings. The results demonstrated that the ARI accelerograph exhibits pole values of 1.31260317e-07 and -2.43562359e-02, zero values of -1.23898531e-06 and 2.77232055, and a gain of 72.97. These findings confirm that the ARI accelerograph provides reliable seismic data, highlighting its potential as an essential tool in reducing earthquake risk and mitigating seismic disaster impacts through improved earthquake early warning capabilities.
Instrument Response of the Indonesian People's Accelerograph (ARI) Type I Based on MEMS Sensor MPU6050 Akram, Rafi Syah; Satrio, Adji; Sutejo, Bayu; Martha, Agustya Adi; Widodo, Handi Sulistyo; Nugroho, Hapsoro Agung; Prakoso, Tio Azhar; Hudayat, Nurul
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 13, No 2: April 2025
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v13i2.15206

Abstract

The Indonesian People’s Accelerograph (ARI) is an innovative ground motion recording device developed using predominantly local, cost-effective components to accurately monitor and record seismic-induced ground acceleration for disaster mitigation. This study aimed to evaluate the instrument response of ARI Type I, which utilizes a MEMS sensor (MPU6050) to capture dynamic acceleration data crucial for earthquake early warning systems. The research involved a comprehensive methodology comprising hardware design, field testing, and in-depth analysis of the instrument’s response by determining key parameters such as gain, poles, and zeros under various seismic conditions. The hardware was meticulously designed using KiCAD, with the final assembly enclosed in a 3D-printed casing that integrates the ESP32 microcontroller, sensor, SD card, and LCD, while data communication was achieved via I2C and WiFi protocols, and time synchronization was maintained using NTP. Field tests conducted at the UNILA site demonstrated that ARI Type I records ground acceleration on all three axes at a density of 50 signals per second. Data retrieved and processed through Python into a DataFrame confirmed the system’s high sensitivity and reliability, with a measured gain of approximately 3637.48 V/g, poles of 1.39133434×10⁻⁸ and 9.10426934×10⁻², and zeros of –1.52128433×10⁻⁶ and –4.69561707×10³. These promising results validate the potential of ARI Type I as an effective tool for seismic monitoring, contributing to the development of robust early warning systems and enhancing disaster resilience in earthquake-prone regions.
EVALUATING SURFACE TEMPERATURE VARIABILITIES AND CLIMATE EXTREMES IN THE DIENG PLATEAU OVER THREE DECADES Nugraheni, Imma Redha; Virgianto, Rista Hernandi; Kristianto, Aries; Septiadi, Deni; Nugroho, Hapsoro Agung; Soegiarto, Ita; Radjab, Fachri
Indonesian Physical Review Vol. 8 No. 2 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i2.493

Abstract

This study examines long-term surface temperature variability and climate extremes in the Dieng Plateau, Central Java, from 1991 to 2022. Despite its tropical location, the region’s unique high-altitude microclimate, with frequent frost events, has raised concerns for local agriculture, particularly potato farming. However, limited observational data has constrained in-depth assessments. To address this, we used bias-corrected ERA5 reanalysis data, calibrated using hourly observations from an Automatic Weather Station (AWS) installed in 2021. The analysis focused on climatological trends and temperature-related extreme indices following the Expert Team on Climate Change Detection and Indices (ETCCDI) framework. Our findings indicate seasonal patterns in diurnal temperatures, with JJA (June–August) exhibiting the greatest variability and the lowest night time temperatures, conditions favorable to frost formation. Among the extreme indices, warmest night temperatures (TNx) increased significantly at a rate of 0.017°C/year (p < 0.01), while coldest night temperatures (TNn) showed a slight but significant decline. The frequency of warm nights (TN90p) rose by 0.242 days/month, while cold nights (TN10p) decreased by 0.161 days/month. Meanwhile, trends for warm days (TX90p), cold days (TX10p), and cold spell duration (CSDI) were statistically insignificant. These results highlight the plateau’s sensitivity to night time warming and the potential risk of climate-driven shifts in frost occurrence. The combination of high-resolution reanalysis data and extreme indices offers valuable insight into microclimate behavior in tropical highlands, with direct implications for frost risk management and climate adaptation strategies in vulnerable agricultural zones.
RANCANG BANGUN SISTEM PENGUKUR SUHU DAN KELEMBABAN TANAH BERBASIS KOMUNIKASI RADIO Nugroho, Hapsoro Agung
JST (Jurnal Sains dan Teknologi) Vol. 7 No. 1 (2018)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1122.056 KB) | DOI: 10.23887/jstundiksha.v7i1.10691

Abstract

Suhu tanah dan kelembaban tanah merupakan salah satu parameter iklim yang sangat penting pengaruhnya terhadap tanaman. Suhu tanah merupakan salah satu unsur dalam pengamatan agroklimat. Pengamatan suhu tanah umumnya masih menggunakan peralatan konvensional seperti termometer tanah yang bersifat analog. Sistem pengukur suhu dan kelembaban tanah bertujuan untuk mempermudah pengamatan dan mendukung otomatisasi peralatan. Metodologi penelitian menggunakan sensor SHT11, mikrokontroler ATMega 2560 sebagai pengolahan data, modul radio telemetri sebagai sistem komunikasi. Data  tersimpan di SDCard dan ditampilkan di komputer. Hasil pengujian menunjukan pengukur suhu dan kelembaban tanah mampu bekerja dan menyimpan data secara otomatis serta dapat berkomunikasi sejauh 120 meter.
Co-Authors Agustina Rachmawardani Ahmad Ghozali Akram, Rafi Syah Alhusen Mustarang Aries Kristianto Arno, Giarno Benyamin Kusumoputro Dedi Sucahyono Deni Septiadi Hairatunnisa Hairatunnisa Hamdi, Azhari Haris Al Handi Sulistyo Widodo, Handi Sulistyo Hariyanto Hariyanto Hariyanto Haryas Subyantara Wicaksana Haryas Subyantara Wicaksana Hudayat, Nurul JUFRI, RAVYDO ANGGARA Mahmud Yusuf Margaretta S, Chinthya Martha, Agustya Adi Marzuki Sinambela Maulana Aliva, Muhammad Reza Moh. Mambaul Ulum Mustarang, Alhusen NUGRAHEINI, IMMA REDHA Nugraheni, Imma Redha Nurul Hidayat Prakoso, Tio Azhar Radjab, Fachri RAMDHANI, ERICH PUTRA Relly Margiono Rista Hernandi Virgianto RUSANTO, BENYAMIN HERYANTO Sastra K. Wijaya Satrio, Adji Siti Hasanah Soegiarto, Ita Soekirno, Santoso Suharni Suharni Sukatmo, Sukatmo Sutejo, Bayu Wicaksana, Haryas Subyantara