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All Journal Jurnal Matematika & Sains Journal of Mathematical and Fundamental Sciences JFA (Jurnal Fisika dan Aplikasinya) Annual Research Seminar CHEMPUBLISH JOURNAL 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 The International Journal of Remote Sensing and Earth Sciences (IJReSES)
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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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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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 in Collaboration With Soil Science Department, Sriwijaya University

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
REVIEW OF CHARACTERISTICS AND PROPERTIES OF FE2O3/SIO2 AS WATER POLLUTION PREVENTION Soerya, Balada; Edianta, Jaya; Lailaturofi'ah, Siti; Ningtyas, Aniendita; Arsyad, Fitri Suryani; Setiabudidaya, Dedi; Sailah, Siti
Indonesian Physical Review Vol. 5 No. 1 (2022)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v5i1.131

Abstract

The existence of water on earth is very abundant and has a vital role in the source of life for every living creature. In managing water resources, pollution is one of the issues world researchers face. This article reviews the characteristics and methods of synthesizing Fe2O3 and SiO2 materials to prevent water pollution. The strategies administrated antecedently square measure vapor deposition, microemulsion, solvothermal, coprecipitation, sol-gel, and hydrothermal. The formation of fine quality nanoparticles with controlled size associate degreed size distribution square measure typically achieved by selecting an applicable solvent mixture and varied parameters like temperature, pressure, and time interval.
INDENTIFYING PATTERNS OF SATTELITE IMAGERY USING AN ARTIFICIAL NEURAL NETWORK Iskhaq Iskandar; Azhar K. Affandi; Dedi Setiabudidaya; Muhammad Irfan; Wijaya Mardiansyah; Fadli Syamsuddin
International Journal of Remote Sensing and Earth Sciences Vol. 9 No. 1 (2012)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2012.v9.a1824

Abstract

An artificial neural network analysis based on the self-organizing map (SOM) was used to examine patterns of satellite imagery. This study used 3 × 4 SOM array to extract patterns of satellite-observed chlorophyll-a (chl-a) along the southern coast of the Lesser Sunda Islands from 1998 to 2006. The analyses indicated two characteristic spatial patterns, namely the northwest and the southeast monsoon patterns. The northwest monsoon pattern was characterized by a low chl-a concentration. In contrast, the southeast monsoon pattern was indicated by a high chl-a distributed along the southern coast of the Lesser Sunda Islands. Furthermore, this study demonstrated that the seasonal variations of those two patterns were related to the variations of winds and sea surface temperature (SST). The winds were predominantly southeasterly (northwesterly) during southeast (northwest) monsoon, drived offshore (onshore) Ekman transport and produced upwelling (downwelling) along the southern coasts of the Lesser Sunda Islands. Consequently, upwelling reduce dSST and helped replenish the surface water nutrients, thus supporting high chl-a concentration. Finally, this study demonstrated that the SOM method was very useful for the identifications of patterns in various satellite imageries.
Bioactive Metabolites in Melaleuca leucadendra Leaves Extract: Phytochemical Profilling and GC-MS Characterization for Antimicrobial Relevance Atina, Atina; Royani, Idha; Indah, Assa; Setiabudidaya, Dedi; Miksusanti, Miksusanti; Arsyad, Fitri Suryani
Chempublish Journal Vol. 10 No. 1 (2026): Chempublish Journal (January - June)
Publisher : Department of Chemistry, Faculty of Science and Technology Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/chp.v10i1.49078

Abstract

The global escalation of antimicrobial resistance (AMR) necessitates the exploration of natural sources of antibacterial agents. This study examined the ethanolic leaf extract of Melaleuca leucadendra's phytochemical composition, chemical profile, and antibacterial activity. Alkaloids, flavonoids, saponins, tannins, phenolics, terpenoids, and steroids were all detected by phytochemical screening. The quantitative total flavonoid content (TFC) of the extract was 17.78 mg QE/g, while the total phenolic content (TPC) was 292.43 mg GAE/g extract. Gas Chromatography–Mass Spectrometry (GC–MS) analysis identified oxygenated esters (18.86%), oxygenated aromatics (15.22%), phenolic derivatives (13.44%), and flavonoids (12.86%), methoxylated aromatics and terpenoids (5.34%), phytol, and fatty acid derivatives. These metabolite classes are widely reported to exert antibacterial effects through multiple mechanisms such as membrane disruption, enzyme inactivation, and inhibition of nucleic acid synthesis. Antibacterial testing against Staphylococcus aureus and Escherichia coli using the agar diffusion method showed a concentration-dependent response, with the highest activity at 80% extract (15.67 ± 0.58 mm and 15.33 ± 0.58 mm inhibition zones, respectively). Raman spectroscopy confirmed the interaction between polymer molecules and secondary metabolite compounds in the extract, thereby potentially enhancing antibacterial properties. These findings highlight that the antibacterial activity of M. leucadendra is mediated by the synergistic interplay of phenolics, flavonoids, methoxylated aromatics, terpenoids, and fatty acids. The findings offer compelling proof that M. leucadendra is a viable natural source for the creation of antibacterial compounds that will lessen antibiotic resistance.
Co-Authors - Jumingan, - Affandi, Azhar Kholiq Agus Dwi Saputra Aldes Lebani, Aldes Aldes Lesbani Aldri Frinaldi Alfahidayah, Arini Alfikro, Ihsan Amiruddin Supu Armanto, M Edi Arsyad, Fitri Suryani Ashari Ashari Assaidah, Assaidah Atina, Atina Azhar Affandi Azhar K. Affandi Dedik Budianta Dwi Setyawan Edianta, Jaya Elisa Wildayana Fadli Syamsuddin Harisdianto, Harisdianto Husin, Sadam Idha Royani Indah, Assa Indra Yustian Irma Suryani Iskhaq Iskandar Ismail, Dede Ridwan Jumingan Jumingan Khairul Saleh Lailaturofi'ah, Siti Liasari, Beta Riana Miksusanti Miksusanti Moamar Aprilian Ghadafi Mokhamad Yusup Nur Khakim muhammad irfan Muhammad Irfan Muhammad Taufik Toha Muhammad Taufik Toha Ngudiantoro . Ningtyas, Aniendita Nur’aini, Siti Octavianus Cakra Satya Rakhmawati Farma Risfidian Mohadi Siti Sailah, Siti Soerya, Balada Weanda, W Wijaya Mardiansyah Wijaya Mardiansyah Wijaya Mardiansyah Wijaya Mardiansyah Wijaya Mardiansyah, Wijaya Zuhdi, Mohd Zulkifli Dahlan Zulkifli Dahlan