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All Journal Jurnal Sains dan Teknologi POSITIF Jurnal Penelitian Pendidikan IPA (JPPIPA) International Journal of Remote Sensing and Earth Sciences (IJReSES)
Akbar, Dzikrullah
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Earth & Planetary Sciences Education Materials Science & Nanotechnology Physics

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UTILISATION OF NASA - GFWED AND FIRMS SATELLITE DATA IN DETERMINING THE PROBABILITY OF HOTSPOTS USING THE FIRE WEATHER INDEX (FWI) IN OGAN KOMERING ILIR REGENCY, SOUTH SUMATRA Nainggolan, Hermanto Asima; Veanti, Desak Putu Okta; Akbar, Dzikrullah
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 17, No 1 (2020)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2020.v17.a3202

Abstract

Prevention and mitigation of forest and land fires have important roles considering its various negative impacts. Throughout 2018, in Ogan Komering Ilir District, 864 hectares of land burned. This data increased significantly compared to the burned area in the previous year. Lack of field meteorological observation is still a problem in solving the problem of forest fire in the region. Consequently, we utilize NASA - GFWED and FIRMS satellite data to analyze the hotspots probabilities in Ogan Komering Ilir District, South Sumatra. Conditional probability analysis will be used to find out the likelihood of hotspots based on FWI and FFMC from 2001 to 2016. More than 50 percent of hotspots appear during extreme FFMC class and high to extreme FWI class. The probability of hotspots for extreme FFMC class and extreme FWI class varied between 0.3 to 10.4 % and 0.1 to 3.8 % respectively. Meanwhile, fire-prone areas with the highest density of fires are in the sub-district of Tulung Selapan, and the safest region is the Cengal sub-district.
PEMANFAATAN METODE AGILE DEVELOPMENT DALAM SISTEM INFORMASI KEPEGAWAIAN DI INSTITUT ASIA MALANG Akbar, Dzikrullah; Andini, Titania Dwi; Asmoro, Zain Bagus Dwi; Noercholis, Achmad
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 9 No 2 (2023): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v9i2.1995

Abstract

This research was conducted at an educational institution, specifically at the Asia Institute of Technology and Business in Malang (Asia Institute Malang). The aim was to develop an employee information system that was previously manual (paper-based) and supported by a simple data processing application, transforming it into a web-based information system that can be accessed anytime, anywhere. This ensures that requests for approval (such as permission requests and schedule changes) do not have to wait for a long time. In the future, this system will evolve both in terms of platform and overall employee data management. The research employed the Agile Development method, customized to meet user demands for immediate application use. The Agile Development model used was the Scrum model, involving activities such as system requirements analysis, design, code generation, testing, and support.
Analysis to Measure Resonance and Building Vulnerability Index in Southern Surabaya, East Java, Indonesia Farrizi, Achmad Salvani; Rudyanto, Ariska; Marsono, Agus; Margiono, Relly; Akbar, Dzikrullah; Ma’muri, Ma’muri
Jurnal Penelitian Pendidikan IPA Vol 11 No 6 (2025): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i6.10620

Abstract

Microtremor analysis was conducted in southern Surabaya, East Java, to evaluate the seismic response of buildings using the Floor Spectral Ratio (FSR) and Random Decrement Method (RDM). Two buildings—a 9-story structure (Building A) and a 10-story structure (Building B)—were analyzed to assess their dynamic behavior and vulnerability to earthquake-induced shaking. As high-rise building development continues in Surabaya, such assessments are critical for enhancing structural safety. The FSR method provided estimates of natural frequency, amplification, and vulnerability index, while the RDM method determined the damping ratio and validated the natural frequency results. The findings show that the average natural frequency of Building A is 1.18 Hz (North-South) and 1.24 Hz (East-West), while Building B has 1.18 Hz and 1.17 Hz, respectively. Damping ratios ranged from 1 to 4% for Building A and 1 to 6% for Building B, both below the 10% critical threshold. The increasing vulnerability index with height indicates greater susceptibility to seismic amplification at upper floors. These findings confirm that both buildings meet the structural standards for multi-story building, reinforcing the importance of dynamic evaluation in earthquake-prone urban areas.
IDENTIFIKASI RANGKAIAN GEMPA BUMI PENDAHULUAN (FORESHOCKS) DENGAN PENDEKATAN KORELASI SILANG SINYAL SEISMIK TEMPLATE (STUDI KASUS RANGKAIAN GEMPA BUMI KARO 2017) Akbar, Dzikrullah; Sianipar, Dimas Salomo Januarianto; Sipayung, Renhard; Adi, Suko Prayitno
JST (Jurnal Sains dan Teknologi) Vol. 6 No. 2 (2017)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (875.576 KB) | DOI: 10.23887/jstundiksha.v6i2.11800

Abstract

Penelitian ini berhasil membuktikan bahwa pendekatan korelasi silang sinyal seismik dapat digunakan untuk mendeteksi kejadian seismik menggunakan waveform dari jaringan BMKG (Badan Meteorologi Klimatologi dan Geofisika). Pendeteksian ini dilakukan untuk melengkapi kejadian gempa bumi yang belum tercatat pada katalog reguler BMKG karena berbagai keterbatasan. Adanya rangkaian kejadian gempa pendahuluan (foreshock sequence) sebelum kejadian gempa Karo M 5,6 tanggal 16 Januari 2017 berhasil teridentifikasi. Tujuan dari penelitian ini adalah melakukan identifikasi kejadian gempa bumi pendahuluan (foreshocks) dengan memanfaatkan data sinyal template gempa bumi M 3,9 yang sebelumnya dianggap sebagai satu-satunya foreshock dalam rangkaian kejadian ini. Penelitian ini berhasil mendeteksi 12 kejadian gempa pendahuluan (foreshocks) setelah diterapkan metode deteksi berbasis korelasi silang. Foreshock mulai terdeteksi pada tanggal 14 Januari 2017 atau dua hari sebelum gempa utama. Magnitudo gempa pendahuluan semakin meningkat secara sistematis sampai kejadian gempa pendahuluan terbesar. Penelitian ini berimplikasi pada manfaat penerapan metode deteksi berbasis waveform untuk mendukung pemahaman fisis sumber gempa dan prediksi gempa bumi di Indonesia.
Distribusi Kerentanan Seismik di Wilayah Pusat Kota Surabaya Akbar, Dzikrullah; Rosid, Mohammad Syamsu; Darmanto, Aina Najwa
Jurnal Penelitian Pendidikan IPA Vol 10 No 3 (2024): March
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i3.6761

Abstract

Surabaya is the second major city of Indonesia and the economic capital of eastern Indonesia. The city’s central area is the governmental center of East Java Province. This area is traversed by the Surabaya section of the Kendeng Fault which could potentially generate a maximum M6.5 earthquake. The East Java megathrust zone also threatens this area with a potential maximum magnitude of M8.9 earthquake. The rock geology of this region is dominated by soft alluvial soil which could amplify earthquake shaking. This study aims to identify the distribution of seismic vulnerability index in Surabaya’s central area. Therefore, microtremor measurements were carried out at 61 points in this area. The results were then analyzed using the Horizontal to Vertical Spectral Ratio (HVSR) method to determine the amplification factor values and seismic vulnerability index. The results of the HVSR analysis show that the amplification factor value and seismic vulnerability index are in the low to medium category ranging from 0.8370 - 3.8298 and 0.6041 - 14.6268, respectively. The distribution of the results shows that the northern area is more vulnerable than the southern part. This is verified by the geological conditions of the northern part which is dominated by alluvial soil.
Co-Authors Achmad Noercholis Adi, Suko Prayitno Agus Marsono, Agus Asmoro, Zain Bagus Dwi Darmanto, Aina Najwa Farrizi, Achmad Salvani Margiono, Relly Ma’muri, Ma’muri Nainggolan, Hermanto Asima Rosid, Mohammad Syamsu Rudyanto, Ariska Sianipar, Dimas Salomo Januarianto Sipayung, Renhard Titania Dwi Andini Veanti, Desak Putu Okta