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All Journal Jurnal Matematika & Sains Journal of Mathematical and Fundamental Sciences JFA (Jurnal Fisika dan Aplikasinya) Annual Research Seminar Science and Technology Indonesia Jurnal Penelitian Sains Riau Journal of Empowerment International Journal of Remote Sensing and Earth Sciences (IJReSES) Indonesian Physical Review Jurnal Pengabdian Masyarakat Teknik SRIWIJAYA JOURNAL OF ENVIRONMENT BIOVALENTIA: Biological Research Journal Makara Journal of Science Journal of Smart Agriculture and Environmental Technology
Dedi Setiabudidaya
Department Of Physics, Faculty Of Mathematics And Natural Sciences, Sriwijaya University
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Immunology & microbiology Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Veterinary

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Effect of Ground Vibration to Slope Stability, Case Study Landslide on The Mouth of Railway Tunnel, Gunung Gajah Village, Lahat District Moamar Aprilian Ghadafi; Muhammad Taufik Toha; Dedi Setiabudidaya
Sriwijaya Journal of Environment Vol 2, No 3 (2017): Low Land
Publisher : Program Pascasarjana Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (563.901 KB) | DOI: 10.22135/sje.2017.2.3.67-71

Abstract

Slope stability around railway tunnel in Gunung Gajah Village, Lahat District needs to be analysed due to landslide which occurred on January, 23th 2016. That analysis needs to be done so that the railway transportation system can run safely. The purposes of this research are: to find out the factors that cause slope instability, to find out peak acceleration caused by railway traffic and earthquakes and its effects to the safety factor of slope, and determine stabilization method in order to prevent the occurrence of further landslide. The research activities include surveying, sampling, laboratory testing and analyzing slope stability using pseudo-static approach. Based on research result, the main factors that cause slope instability are morphology, structural geology, and ground vibration caused by earthquakes. Ground vibration are correlated to the slope instability. It shows that the higher of peak acceleration the lower of safety factor of slope. To prevent the occurrence of further landslide around research area, stabilization method should be applied in accordance with the conditions in that area such as building a retaining wall to increase safety factor of slope, building draining channels to reduce run off and performing shotcrete in the wall of landslide in order to avoid weathering.Keywords: ground vibration, slope stability, stabilization method
Coupled Ocean-Atmosphere Mode in the Tropical Indian Ocean during 2011 Iskandar, Iskhaq; Mardiansyah, Wijaya; Setiabudidaya, Dedi
Makara Journal of Science Vol. 18, No. 4
Publisher : UI Scholars Hub

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Abstract

Coupled ocean-atmosphere mode in the tropical Indian Ocean, so-called the Indian Ocean Dipole (IOD), occurred
Sosialisasi Aplikasi Pupuk Nanomagnetik Pasir Besi Pada Tanaman Jagung di Desa Pulau Semambu Ogan Ilir Sumatera Selatan Sebagai Integrasi Penelitian dan Perkuliahan Arsyad, Fitri Suryani; Setiabudidaya, Dedi; Ariani, Menik; Royani, Idha; Supu, Amiruddin; Mohadi, Risfidian; Lesbani, Aldes; Farma, Rakhmawati; Soerya, Balada; Nur’aini, Siti; Liasari, Beta Riana
Riau Journal of Empowerment Vol 7 No 2 (2024)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/raje.7.2.156-167

Abstract

Socialization activities have been carried out regarding the application of iron sand nanomagnetic fertilizer (Fe3O4) on corn plants to the villagers of Pulau Semambu Ogan Ilir, South Sumatra. This community service activity is part of the integration of the research results that have been carried out. From the results of the study, it was found that at the same growing age, corn added with nano-magnetic iron sand, both simaxx + nanomagnetic iron sand and silica + nanomagnetic iron sand, had a faster growth of about 100 cm compared to corn that was only given simaxx fertilizer. which is about 45-50 cm. Research results and observational data were then collected and analyzed to evaluate the effectiveness of using Fe3O4 nanomagnetic fertilizer on corn plants. Apart from being disseminated to corn farmers, research results are also used as teaching material to be conveyed to students in material physics courses. Integrating research results with community service activities and material physics lectures has increased the practical use of research results and provided wider benefits for society and students.
Mapping and Analyzing Spatial Variability of Peat Depths by Using Geostatistics Armanto, M Edi; Setiabudidaya, Dedi; Ngudiantoro; Wildayana, Elisa; Zuhdi, Mohd
Journal of Smart Agriculture and Environmental Technology Vol. 2 No. 3 (2024): December 2024, Published, 2024-12-07
Publisher : Indonesian Soil Science Society of South Sumatra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60105/josaet.2024.2.3.100-106

Abstract

Determining peat depths can be done by intensive surveys which are expensive, inefficient, and ineffective, therefore, it is essential to find simple alternative methods for measuring peat depths. The research objective was to estimate and make maps of peat depths by applying Geostatistics analysis. This research was conducted on Muaro Jambi District, Jambi (Seponjen Village, Kumpeh) peatlands. The primary data was analyzed by ArcGIS 10.3 and Geostatistics programs. The spatial variability of peat depths on Site A (peat depth of 8.10–15.00 m) and Site B (3.10–8.00 m) showed maximum values at 271 and 242 m distances, respectively. On-Site C (0.00–3.00 m), maximum variability was found at the distance of 63 m. Peat depths variability may be interpolated at a maximum of 271 m (for Site A) and 242 m (for Site B). More than the above distances, peat depths cannot be interpolated. Site A must be conserved because of peat depths of > 3 m, only Site C can be cultivated for agriculture and plantations. Unfortunately, all areas have been cultivated for the oil palm plantation because the government has granted concession permits to plantations before knowing how deep the permissible peatlands are for the whole area.
Integrasi Hasil Riset Smart Garden dengan Perkuliahan dan Pembelajaran Fisika di MAN IC Kayu Agung Arsyad, Fitri Suryani; Ariani, Menik; Setiabudidaya, Dedi; Royani, Idha; Saleh, Khairul; Satya, Octavianus Cakra; Lebani, Aldes; Supu, Amiruddin; Weanda, W; Suryani, Irma; Alfahidayah, Arini; Ismail, Dede Ridwan; Husin, Sadam
Jurnal Pengabdian Masyarakat Teknik Vol 7, No 1 (2024): Jurnal Pengabdian Masyarakat Teknik (JPMT)
Publisher : Fakultas Teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jpmt.7.1.67-78

Abstract

Telah dilaksanakan kegiatan PPM yang merupakan integrasi  hasil penelitian smart garden berbasis IoT dengan perkuliahan mahasiswa Fisika dan pembelajaran Fisika pada siswa  MAN Insan Cendikia Ogan Komering Ilir Sumatera Selatan menggunakan metode pembelajaran case method. Dalam model pembelajaran ini mahasiswa diminta untuk menganalisis problem pertanian konvensional yaitu permasalahan kelembaban tanah, kelembaban udara, temperatur, pH tanah, dan cahaya, yang tidak dapat dikontrol kebutuhannya sehingga menghambat pertumbuhan dan perkembangan tanaman. Untuk mengatasi problem tersebut, siswa kemudian diberi pembelajaran cara merancang smart garden menggunakan sensor berbasis IoT yang dapat bekerja secara otomatis dalam mendeteksi dan mengontrol secara realtime kelembaban tanah, kelmbaban udara, temperatur, pH tanah, dan cahaya yang dibutuhkan tanaman hanya menggunakan smartphone.  Hasil penelitian menunjukkan bahwa aplikasi sensor dan penggunaan teknologi internet of thing (IoT) pada smart garden memberikan kemudahan dalam mengontrol semua kebutuhan tanaman. Dari hasil pembelajaran diperoleh 88% siswa memperoleh nilai rata-rata yang meningkat cukup siknifikan dari 81,1 pada saat pretest menjadi 86,7 pada saat posttest. Sementara itu 12% sisanya, nilai rata-rata siswa menunjukan hasil yang  cenderung konstan yaitu  sekitar 79. Dari kegiatan case method ini terlihat bahwa 80 – 90 % mahasiswa dan siswa memiliki pemahaman konsep yang baik tentang teknologi IoT pada pertanian modern. Oleh karena kontibusi penelitian ini mampu meningkatkan pemahaman siswa tentang konsep fisika elektronika dan instrumentasi,  pengukuran dan kalibrasi, serta keterampilan berbasis Teknologi. Selain itu penelitian ini juga dapat meningkatkan kemampua siswa dalam berpikir kritis, berkolaborasi, dan berkreasi
Simple Linear Regression Analysis of Temperature Trends using R Language: Case Study of Palembang City 1991-2020 Alfikro, Ihsan; Harisdianto, Harisdianto; Adnan, Assaidah; Affandi, Azhar Kholiq; Setiabudidaya, Dedi
Jurnal Penelitian Sains Vol 26, No 2 (2024)
Publisher : Faculty of Mathtmatics and Natural Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56064/jps.v26i2.984

Abstract

Global warming is the most world priority of environment issues, which is indicate continously increment of  global mean temperature of Earth. Various research shown detrimental impact of Earth environment, due to increment of Earth temperature. Our study provide temperature trend of small scope observation unit, the urban area of Palembang City at latitude 2,9° and longtitude 104,7° for 30 years, from 1991-2020. Linear regression analysis shown the temperature increase on skin temperature (TS) and temperature at 2 meter range (T2M) are 0,4°C and 0,46°C, respectively. These variable can become indicator of global warming occurance on small scope of observation unit.Keywords: Global warming, Temperature trend, Linear regression
Co-Authors - Jumingan, - Affandi, Azhar Kholiq Agus Dwi Saputra Aldes Lebani, Aldes Aldes Lesbani Aldri Frinaldi Alfahidayah, Arini Alfikro, Ihsan Amiruddin Supu Aniendita Ningtyas Armanto, M Edi Arsyad, Fitri Suryani Ashari Ashari Assaidah, Assaidah Azhar Affandi Balada Soerya Dedik Budianta Dwi Setyawan Elisa Wildayana Fitri Suryani Arsyad Harisdianto, Harisdianto Husin, Sadam Idha Royani Indra Yustian Irma Suryani Iskhaq Iskandar Ismail, Dede Ridwan Jaya Edianta Jumingan Jumingan Khairul Saleh Liasari, Beta Riana Moamar Aprilian Ghadafi Mokhamad Yusup Nur Khakim Muhammad Irfan Muhammad Taufik Toha Muhammad Taufik Toha Ngudiantoro . Nur’aini, Siti Octavianus Cakra Satya Rakhmawati Farma Risfidian Mohadi Siti Lailaturofi'ah Siti Sailah, Siti Soerya, Balada Weanda, W Wijaya Mardiansyah Wijaya Mardiansyah Wijaya Mardiansyah Wijaya Mardiansyah Wijaya Mardiansyah, Wijaya Zuhdi, Mohd Zulkifli Dahlan Zulkifli Dahlan