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THE ESTIMATION OF SUBSURFACE STRUCTURE WITHIN GEOTHERMAL MANIFESTATION AREA AS AN OUTFLOW ZONE USING GEOELECTRICAL RESISTIVITY METHOD IN TEGAL, JAWA TENGAH Hangga Novian Adi Putra; Wahyudi Wahyudi
GeoEco Vol 7, No 1 (2021): GeoEco January 2021
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v7i1.42392

Abstract

Indonesia is one of the country having a lot of geothermal fields potentially used as a source of energy. For example, Java island is noted to have almost 57 geothermal fields. One of those geothermal fields which is rarely studied is Guci geothermal field. Hence, there was conducted a research to investigate the subsurface image and geothermal system in Guci geothermal field based on resistivity data. The research in Guci geothermal field was carried out using geoelectrical method. Resistivity geoelectrical research used two configurations, namely dipole-dipole and schlumberger. Data acquisitions for dipole-dipole configuration was done in two lines, 500 metres spread for each line. Whereas the acquisitions for schlumberger configuration was done in four points, 200-250 metres spread for each point. Research result showed that the area of geothermal manifestation in Guci consist of top soil layer, sandstone, andesite, and a fluids-containing layer. A fluids-containing layer is estimated to be related to geothermal manifestation in Guci and is a fault zone. Fault is estimated to be a normal fault and lies in 20 metres depth. Fault within geothermal manifestation area in Guci has a role as the pathway of hot-fluid out to the surface which forms a manifestation.
From Hombo Batu to the Realm of Physics: Implementation of Ethnophysics-Based Mobile Learning to Increase Learning Independence and Learning Outcomes Dwi Saputra, M. Reza; Niethammer, Manuela; Adi Putra, Hangga Novian
Tarbiyah : Jurnal Ilmiah Kependidikan Vol. 13 No. 2 (2024): December
Publisher : Universitas Islam Negeri Antasari Banjarmasin, South Kalimantan, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18592/tarbiyah.v13i2.13940

Abstract

This study examines the effectiveness of Ethnophysics-based mobile learning (Hombo Batu) in enhancing students' learning independence and outcomes. This research is quantitative, employing a pretest-posttest control group design. The research sample consists of 23 students from class XIc as the control group, who received instruction using PowerPoint media, and 23 students from class XId as the experimental group, who received instruction using Ethno-Based Mobile Learning media. The study was conducted at Xin Zhong High School in Surabaya. The research instruments include learning outcome tests (pretest and posttest) and non-test instruments (learning independence questionnaires). The data analysis includes N-Gain analysis and Hotelling's Trace Multivariate Test (MANOVA). The results of the study indicate that learning with Ethno-Based Mobile Learning is more effective in enhancing learning independence compared to learning using PowerPoint, with an N-Gain value of 0.74 for learning independence and 0.79 for learning outcomes, as well as Hotelling's Trace results with a significance value of 0.00 (Ha accepted). The implication of using Ethno-Based Mobile Learning as a learning medium is that it can be utilized by Physics teachers to enhance students' learning independence and learning outcomes.
Analysis of Earthquake Hazard-Prone Areas Using Peak Ground Acceleration (PGA) Values in Enggano Island, Bengkulu Hangga Novian Adi Putra
BULETIN FISIKA Vol. 27 No. 1 (2026): BULETIN FISIKA
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BF.2026.v27.i01.p09

Abstract

Enggano Island is one of the oceanic islands located on the outermost edge of Bengkulu Province, which makes it highly vulnerable to tectonic earthquake hazards. This study aims to analyze the level of earthquake hazard vulnerability in the Enggano Island region of Bengkulu Province by utilizing Peak Ground Acceleration (PGA) values as the main indicator for assessing earthquake hazard potential. This study was conducted using 37 earthquake events data that occurred in the vicinity of Enggano Island within the time span from 1990 to 2025. The earthquake data used in this analysis focused on events with a magnitude of 4 Mw or higher and depth less than 50 km. Based on the disaster vulnerability analysis in the Enggano Island area, the regions with the highest earthquake hazard levels are Banjar Sari, Meok, Malakoni, and also a portion of Apoho, which have a PGA range of 106 gal to 114 gal and VI MMI scale. The moderate hazard levels are upper parts of Banjar Sari, Meok, Apoho, and Malakoni, as well as the southern portions of Kaana and Kahyapu, which have a PGA range of 94 gal to 104 gal and VI MMI scale. In contrast, the areas with lower hazard levels are found in the northern parts of Kaana and Kahyapu, where the PGA ranges from 78 to 92 gal and corresponds to intensity level V on the MMI scale. This study indicates that Enggano Island falls within a moderate earthquake hazard category.
Pendekatan baru pada identifikasi patogen tanaman berbasis DNA: Suatu Kajian Pustaka Widya Esti Purwaningtyas; Siti Sholekha; Hangga Novian Adi Putra
Jurnal Biologi Udayana Vol. 29 No. 2 (2025): JURNAL BIOLOGI UDAYANA
Publisher : Program Studi Biologi, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JBIOUNUD.2025.v29.i02.p06

Abstract

Patogen tanaman merupakan salah satu faktor utama penyebab penurunan produktivitas pertanian dan kerugian ekonomi yang signifikan di berbagai sistem budidaya. Identifikasi patogen secara cepat dan akurat menjadi langkah penting dalam pengendalian penyakit tanaman, khususnya untuk mendukung kegiatan karantina, pemantauan penyakit, serta penentuan strategi pengelolaan yang tepat. Metode diagnosis konvensional yang bergantung pada pengamatan gejala, isolasi, dan kultur patogen umumnya memerlukan waktu relatif lama dan bergantung pada keahlian peneliti, sehingga berisiko menimbulkan kesalahan identifikasi, terutama pada tahap awal infeksi ketika gejala belum berkembang secara spesifik. Perkembangan teknologi molekuler mendorong penggunaan pendekatan identifikasi berbasis DNA yang menawarkan sensitivitas dan spesifisitas lebih tinggi dibandingkan metode konvensional. Tinjauan ini membahas berbagai metode identifikasi patogen tanaman berbasis DNA, meliputi teknik polymerase chain reaction (PCR) dan turunannya, seperti nested PCR, multiplex PCR, quantitative PCR (qPCR), nano-PCR, dan droplet digital PCR (ddPCR), serta metode amplifikasi isotermal seperti loop-mediated isothermal amplification (LAMP), recombinase polymerase amplification (RPA), dan nucleic acid sequence-based amplification (NASBA). Teknologi lanjutan seperti next-generation sequencing (NGS) dan sistem CRISPR/Cas juga dikaji berdasarkan prinsip kerja dan potensi penerapannya dalam diagnosis patogen tanaman. Hasil tinjauan menunjukkan bahwa setiap metode memiliki keunggulan yang berbeda, di mana qPCR dan ddPCR unggul dalam sensitivitas dan presisi untuk deteksi target berkonsentrasi rendah, LAMP dan RPA menawarkan kecepatan analisis serta kemudahan aplikasi di lapangan, sementara NGS dan CRISPR/Cas memberikan resolusi tinggi untuk deteksi komprehensif dan diagnosis dengan spesifisitas sangat tinggi. Tinjauan ini menekankan pentingnya pengembangan metode diagnostik berbasis DNA yang efisien dan aplikatif untuk mendukung pengelolaan penyakit tanaman dan sistem pertanian berkelanjutan.