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All Journal Indonesian Journal of Geography Sinergi PENDIPA Journal of Science Education Journal on Education Journal of Marine-Earth Science and Technology Formosa Journal of Science and Technology (FJST) Jurnal TNI Angkatan Udara
Arief, Syachrul
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Aerospace Engineering Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Social Sciences

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1. Analisis Studi IRNSS (Indian Regional Navigation Satellite System), Sebagai Referensi Pengembangan RNSS Di Indonesia Arief, Syachrul; Gultom, Rudi; Poniman, Aris
Jurnal TNI Angkatan Udara Vol 1 No 3 (2022): Jurnal TNI Angkatan Udara Triwulan Ketiga
Publisher : Staf Komunikasi dan Elektronika, TNI Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62828/jpb.v1i3.2

Abstract

Regional navigasi satelit sistem (RNSS) adalah suatu sistem navigasi yang daya jangkaunya bersifat regional. Pemanfaatannya semakin hari semakin banyak orang menggunakan bahkan berbagai bidang hampir semuanya membutuhkan informasi navigasi. Penelitian ini mencoba mengeksplorasi sistem navigasi pada negara India yang skala jangkakunnya regional. Metoda penelitian yang digunakan adalah metode penelitian studi literarur, literarur diperoleh dari berbagai referensi yang sesuai dengan kebutuhan penelitian. Hasil yang diperoleh, bahwa sejarah pembangunan RNSS India bukan dibuat dalam waktu yang singkat, namun diperlukan berbagai persiapan yang membutuhkan waktu tidak sebentar. Mulai dari kajian segmen IRNSS, baik segmen darat, segmen ruang angkasa dan segmen pengguna, dipersiapkan seara mendetil dan sebaik mungkin. Berikutnya sistem referensi juga menjadi perhatian, referensi yang menentukan tata koordinat untuk keperluan koreksi atau acuan dalam berbagai aplikasi RNSS. Berikutnya masalah konstelasi satelit, berdasar kebutuhan dan kondisi akan mempengaruhi berapa jumlah satelit yang diperlukan untuk dapat mencakup area se Indonesia. Oleh karena hal tersebut analisis studi ini menjadi suatu referensi dalam rangka membangun suatu sistem navigasi yang mandiri, terlebih lagi jika dikaitkan dengan kebutuhan pertahanan dan keamanan.
Development of face image recognition algorithm using CNN in airport security checkpoints for terrorist early detection Anggraini, Eca Indah; Nurdin, Fachdy; Restianto, Mohammad Obie; Dahsan, Sudarti; Ardhana, Andini Aprilia; Supriyadi, Asep Adang; Darmawan, Yahya; Arief, Syachrul; Ikhsanudin, Agus Haryanto
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.004

Abstract

Ensuring airport security is of paramount importance to safeguard the lives of passengers and prevent acts of terrorism. In this context, developing advanced technology for early terrorist detection is crucial. This paper presents a novel approach to enhancing security measures at airport checkpoints by applying Convolutional Neural Network (CNN) and Artificial Neural Network (ANN) algorithms in face image recognition. Our system utilizes state-of-the-art artificial intelligence techniques to analyze facial features. Our research uses VGG architecture and pre-trained with face data as a CNN model. This model is used to extract face embedding features from the dataset. These embedding features are then compressed with Principal Component Analysis (PCA) to obtain the meaningful feature as training data for the ANN algorithm. We trained our system using data from 500 identities data with 60 data for each identity.  This training enables our system to recognize known terrorists and individuals on watchlists by comparing the facial features of individuals passing through security checkpoints with those in the database. The proposed CNN-ANN-based face recognition system not only enhances airport security but also significantly reduces the processing time for security checks. It can quickly identify potential threats, allowing security personnel to take appropriate actions in real time ensuring a rapid response to security concerns. We present the architecture, training methodology, and evaluation of the CNN-ANN model, achieving a high accuracy of 91.16% and precision of 91.36%. Through this research, we aim to increase airport security and strengthen efforts to combat terrorism, making air travel safer and more secure for all passengers. 
Potensi Radar Cuaca dalam Pengamatan Aktivitas Gunung Berapi (Studi Kasus Letusan Gunung Lewotobi Laki-laki 8 November 2024) Heningtiyas, Hesti; Supriyadi, Asep Adang; Arief, Syachrul

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Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v7i2.8394

Abstract

The characteristics of ash volcanoes can be detected using weather radar by analyzing volcanic ash clouds. Weather radar reflectivity data can describe the estimated height of the column of volcanic ash cloud and the trajectory or direction of the eruption cloud. The BMKG's C-band single-polarization weather radar at Maumere Meteorological Station observed several eruptions of Mount Lewotobi Laki-Laki. Mount Lewotobi Laki-Laki is about 60 km from Maumere Weather Radar, which is still included in the radar coverage. From several eruption events, the eruption activity on 8 November 2024 of Mount Lewotobi Laki-Laki could be observed from the Maumere Weather Radar. The radar data processing produces Maximum (MAX) and VCUT (Vertical Cut) products to obtain information on the height of volcanic eruptions and eruption characteristics in more detail. The MAX and VCUT products of weather radar on the eruption event in this study show that the height of the column of volcanic ash cloud observed by weather radar is higher than the direct observation report by PVMBG.
Measuring the Height of Volcanic Clouds Using Weather Radar : Case Study Mount Sinabung Eruptions in Medan, Indonesia Heningtiyas, Hesti; Achmadi, Budhi; Supriyadi, Asep Adang; Arief, Syachrul; Charolydya, Rindita
Indonesian Journal of Geography Vol 57, No 2 (2025): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.96391

Abstract

Apart from being used to observe hydrometeorological phenomena, weather radar can also be used to observe volcanic eruptions. Weather radar reflectivity data can describe the estimated height of volcanic eruptions, while the HYSPLIT (Hybrid Single-Particle Lagrangian Integrated Trajectory) model describes the trajectory or direction of distribution of eruption clouds. BMKG's single polarization C-Band weather radar at the Regional Office I in Medan was able to observe several eruptions of Mount Sinabung. Mount Sinabung is about 50 km from the Medan Weather Radar hence is still within radar coverage. Several eruptive activities of Mount Sinabung can be observed from the Medan Weather Radar, using Maximum (MAX) and VCUT (Vertical Cut) products to obtain information on the height of volcanic eruptions and eruption characteristics. While, the HYSPLIT model developed by ARL-NOAA is used to determine the direction of distribution of volcanic ash immediately after the eruption. The MAX and VCUT weather radar products and the results of NOAA HYSPLIT model for several events in this study show that the eruption height in weather radar observations is higher than the HYSPLIT model and the direction of volcanic ash distribution is different from Volcanic Observatory Notice for Aviation (VONA) observations.Received: 2024-05-24 Revised: 2025-06-26 Accepted: 2025-08-15Published: 2025-08-19  
GNSS METEOROLOGY AND LAND SUBSIDENCE OF HEAVY RAINFALL IN JAKARTA ON JANUARY 1, 2020 Arief, Syachrul; Cahyadi, Mokhamad Nur
Journal of Marine-Earth Science and Technology Vol. 1 No. 1 (2020): December
Publisher : Marine & Earth Science and Technology Research Center, DRPM, ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27745449.v1i1.606

Abstract

This study aims to demonstrate that GNSS meteorology can be applied in Indonesia, by estimating the zenith troposphere delay (ZTD) of sustainable GNSS stations in Indonesia, using one of the “goGPS” software packages. As a calculation with rain conditions, the ZTD value was converted into precipitation water vapor (PWV). This research is using GNSS meteorology to be applied into heavy rains at the end of 2019 in Jakarta which was hit by floods on December 31, 2019. According to a report by Geophysical Meteorology and Climatology Agency (BMKG), the main cause of this flood is a high rainfall. The rainfall gauge at Halim Perdanakusuma Station showed 377 mm of rainfall that day. Rain gauges at Taman Mini and Jatiasih stations record rainfall of 335 mm/day and 260 mm / day, respectively. From the GNSS data processing, the PWV values at the five GNSS stations show a similar pattern even though the average between stations is ~ 30 km. The PWV value appeared to be increased at noon on December 30, 2019, and the peak occurs at the end of the day on December 31, 2019. The PWV value showed a sudden drop at midday on January 1, 2020. In the end, the PWV increased again, but not as high as the first peak. From 2 January 2020, the PWV has decreased and has been maintained almost constantly until 4 January. Within this time frame, there were two peak PWV events. The PWV of the first peak was ~ 70 mm and the second peak was ~ 65 mm, and the largest peak PWV was recorded at the CJKT station.
The Facies Modeling of Muria Volcano in the Kedungbamban Area Using GIS Rahmandhala, Ilvan Dino; Supriyadi, Asep Adang; Prihanto, Yosef; Arief, Syachrul; Mulyaningsih, Sri; Wiloso, Danis Agoes
Formosa Journal of Science and Technology Vol. 3 No. 9 (2024): September 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i9.11606

Abstract

Indonesia is an archipelago located in the Pacific Ring of Fire, known for its high volcanic activity. Indonesia is home to 129 active and 500 inactive volcanoes, representing 13% of the world's total. This research is expected to provide an overview of the facies of the Muria volcano and the geological aspects of the study area. To analyze and resolve issues in this study, geological mapping, and data processing are employed to make volcano facies models using GIS.  The volcanic facies in the study area are proximal facies, which can be divided into three zones: proximal facies of Muria basalt, proximal facies of Maar Bambang basanite, and proximal facies of Muria andesite.
Pemanfaatan Teknologi Satelit untuk Mitigasi Bencana dan Penguatan Resiliensi Nasional terhadap Ancaman Geospasial di Indonesia: Indonesia Afriyanto, Mulya; Supriyadi, Asep Adang; Arief, Syachrul; Waluyo, Dangan
PendIPA Journal of Science Education Vol 9 No 3 (2025): October
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pendipa.9.3.866-877

Abstract

Indonesia is one of the countries with the highest level of geospatial disaster risk due to its position on the Pacific Ring of Fire and its exposure to earthquakes, tsunamis, volcanic eruptions, floods, and landslides. The increasing complexity and frequency of disasters, exacerbated by climate change, demands a faster, more accurate, and integrated monitoring system. However, previous studies have focused more on the technical aspects of disaster monitoring without comprehensively examining the strategic role of satellite technology in strengthening Indonesia's national resilience. This gap is the basis for this study. This study aims to analyze the contribution of satellite technology in disaster mitigation and assess how satellite data integration can strengthen national resilience to geospatial threats. The method used is a systematic literature review of reputable international publications from 2014 to 2025 that discuss remote sensing technology, InSAR, damage mapping, early warning systems, and geospatial integration for disaster risk management. The results of the study show that satellite technology plays an important role in three main aspects: (1) real-time disaster monitoring through multisensor data capable of covering a wide area; (2) improving the accuracy of early warning systems for various geospatial disasters; and (3) strengthening national resilience through support for damage mapping, rapid response, strategic decision-making, and inter-agency coordination. The novelty of this research lies in the development of an integrative synthesis that links the use of satellite data with Indonesia's national resilience framework, as well as the affirmation of the need to integrate satellite technology into national disaster management policies. These findings have important implications for strengthening modern mitigation systems and adapting to the escalation of geospatial risks in the future.
Co-Authors Achmadi, Budhi Afriyanto, Mulya Anggraini, Eca Indah Ardhana, Andini Aprilia ARIS PONIMAN Charolydya, Rindita Dahsan, Sudarti Gultom, Rudi Heningtiyas, Hesti Ikhsanudin, Agus Haryanto Mokhamad Nur Cahyadi, Mokhamad Nur Nurdin, Fachdy Rahmandhala, Ilvan Dino Restianto, Mohammad Obie Sri Mulyaningsih Supriyadi, Asep Adang Waluyo, Dangan Wiloso, Danis Agoes Yahya Darmawan Yosef Prihanto, Yosef