cover
Contact Name
Elfi Yuliza
Contact Email
eyuliza@unib.ac.id
Phone
+6287883057375
Journal Mail Official
nmj@unib.ac.id
Editorial Address
Jurusan Fisika, FMIPA, Universitas Bengkulu Jl. WR. Supratman, Kandang Limun, Kota Bengkulu
Location
Kota bengkulu,
Bengkulu
INDONESIA
Newton-Maxwell Journal of Physics
Published by Universitas Bengkulu
ISSN : -     EISSN : 27755894     DOI : 10.33369
Newton-Maxwell Journal of Physics is a scientific journal published by UNIB Press and managed by the Department of Physics, FMIPA University, Bengkulu, with ISSN Number: 2775-5894. This journal is published twice a year, in April and October, as a forum for lecturers, researchers, and students to publish their work. The scope of this scientific journal covers the field of physics in general, such as materials, theory and instrumentation, geophysics, acoustics, computer science, physics and its applications, and other relevant areas.
Articles 35 Documents
ANALISIS PENGARUH VARIABEL PENDUGA CUACA EKSTREM DI KOTA BENGKULU DENGAN MENGGUNAKAN STATISTICAL PRODUCT AND SERVICE SOLUTIONS (SPSS) Mikael Simbolon; Supiyati; Suwarsono
Newton-Maxwell Journal of Physics Vol. 4 No. 2: Oktober 2023
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/nmj.v4i2.24926

Abstract

The Bengkulu City area often experiences extreme weather with the potential for flooding and affects various types of human activities. This study aims to determine the effect of extreme weather predictor variables in Bengkulu City by using Statistical Product and Service Solutions (SPSS). Extreme weather indicators are  reviewed  based  on  rainfall  with  estimating  variables  in  the  form  of  air pressure, humidity, air temperature, and wind speed, for 5 years (2017-2021) obtained from the BMKG Station on Baai Island, Bengkulu City. Data processing using SPSS method. Data analysis was carried out statistically and descriptively. Based on the results of the study, the correlation between the estimator variables on extreme rainfall is quite good with r = 0.661, and the error value (RMSE) is 27,124. Furthermore, the homogeneity test between extreme rainfall indicators and extreme weather estimators   includes   air   pressure, air   temperature, wind   speed,  and   air   humidity,   showing homogeneity in 2019. This indicates the predictor variable has the same direction to extreme rainfall, where the error value is obtained tends to be relatively small. The estimator variables, namely air pressure and humidity, have a significant relationship with extreme rainfall. Predictions using data (2017-2021) show that in 2022, extreme rainfall events will occur for a relatively long time, namely in January, March, May, June, July, August, October, and December. The most extreme rainfall intensity occurs in January
IDENTIFIKASI KUALITAS AIR LAUT DI PERAIRAN PANTAI DEPOK DESA HARAPAN KABUPATEN BENGKULU TENGAH Yuli Susanti; Suwarsono; Supiyati
Newton-Maxwell Journal of Physics Vol. 4 No. 2: Oktober 2023
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/nmj.v4i2.25185

Abstract

Pantai Depok yang terletak di desa Harapan di Kabupaten Bengkulu tengah memiliki banyak potensi yang dapat dikembangkan diantaranya perikanan, budidaya tambak dan pariwisata.  Penelitian ini bertujuan untuk mengetahui kualitas air laut di perairan Pantai Depok, Desa Harapan Kabupaten Bengkulu Tengah. Metode yang digunakan adalah pengukuran langsung dengan parameter kecepatan arus, salinitas, suhu, pH dan kekeruhan. Hasil yang didapatkan pada penelitian ini yaitu, kecepatan arus rata-rata adalah 0,26 m/s, salinitas 29,01 ‰, suhu 29,19 °C, pH 7,58 dan kekeruhan 6,07 NTU. Kondisi surut kecepatan arus 0,22 m/s, salinitas 29,96 ‰, suhu 29,41 °C, pH 7,69 dan kekeruhan 6,47 NTU. Berdasarkan baku mutu biota laut menurut KEPMEN LH No. 51 Tahun 2004, hasil pengukuran kekeruhan dan salinitas menunjukkan tidak memenuhi baku mutu biota laut. Perhitungan didasarkan pada persamaan indeks pencemaran dan nilai indeks pencemaran tertinggi terdapat pada parameter kekeruhan dan pH. Nilai parameter kekeruhan berkisar antara 1,77 NTU hingga 2,69 NTU pada saat pasang dan dari 1,83 NTU hingga 2,34 NTU pada saat surut. Nilai Indeks Pencemaran pH berkisar antara 1,09 hingga 1,11 pada saat pasang dan dari 1,11 hingga 1,14 pada saat surut. Berdasarkan klasifikasi indeks pencemaran, parameter pH dan kekeruhan masuk dalam kategori tercemar ringan.
Studi Material Organik batuan Induk Sebagai Sumber Batuan Hidrokarbon Lapangan 'X' Berdasarkan Data Geokimia Harsano Jayadi; Windi Lestari; Icha Untari Meidji; Widi Atmoko
Newton-Maxwell Journal of Physics Vol. 4 No. 2: Oktober 2023
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/nmj.v4i2.28371

Abstract

The need for oil and gas has led to increased exploration to produce hydrocarbons in various basins and discover new reserves. This was also done in the Kutai basin on the eastern island of Kalimantan using a quantitative correlation between geophysical logs and rock core data and qualitative analysis by analyzing geochemical data derived from the host rock. To determine the characteristics of the hydrocarbon source rock in the three test wells, three types were analyzed, namely organic material richness, organic material type, and maturity level. For the Maau-1, Wahau-1, and Tengkawang-1 test wells, the organic material content has an excellent type to become source rock. The three wells are of medium-special hydrocarbon potential in organic material, making them very likely to produce oil and gas. As for the nature of the material content, the three wells have a mature level of the source rock, making them very potential as the  very good source rock. The need for oil and gas has led to increased exploration to produce hydrocarbons in various basins and discover new reserves. This was also done in the Kutai basin on the eastern island of Kalimantan using a quantitative correlation between geophysical logs and rock core data and qualitative analysis by analyzing geochemical data derived from the host rock. To determine the characteristics of the hydrocarbon source rock in the three test wells, three types were analyzed, namely organic material richness, organic material type, and maturity level. For the Maau-1, Wahau-1, and Tengkawang-1 test wells, the organic material content has an excellent type to become source rock. In terms of organic matter, all three wells have medium-special hydrocarbon potential and, therefore, high potential to produce oil and gas. As for the nature of the material content, the three wells have a mature level of the source rock, making them very potential as the very good source rock.  
Pemanfaatan Data Radar Cuaca Untuk Membuat Peringatan Dini Cuaca Secara Spasial Menggunakan Metode K-Means Cluster anjasman anjasman
Newton-Maxwell Journal of Physics Vol. 4 No. 2: Oktober 2023
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/nmj.v4i2.29588

Abstract

Pentingnya informasi cuaca untuk masyarakat tidak akan pernah lepas dari perkembangan teknologi yang ada. Semakin canggih teknologi, maka keadaan cuaca tersebut dapat diketahui, dipantau dengan cepat, tepat dan akurat. Untuk mengetahui dan memantau keadaan cuaca tersebut menjadi suatu informasi, maka diperlukan suatu cara dan metode untuk mengolahnya hingga menjadi suatu informasi yang berguna bagi masyarakat.Adapun tujuan dari penelitian ini adalah untuk membuat peringatan dini cuaca secara spasial dengan memanfaatkan data radar cuaca gematronik Bengkulu, yang mana data tersebut akan diolah menggunakan metode pengelompokkan K-Means Cluster sehingga menghasilkan suatu informasi peringatan dini cuaca secara spasial untuk menentukan daerah-daerah yang memiliki indeks tingkat kemungkinan banjir. Berdasarkan hasil penelitian, waktu yang dibutuhkan untuk mengelompokkan 2 kelompok tingkat kemungkinan adalah singkat (2 iterasi). Tingkat kemungkinan rendah memiliki cluster berwarna hijau dengan nilai 1 dan tingkat kemungkinan sedang-tinggi dengan nilai 2 berwarna jingga dan dapat dipetakan secara spasial pada batas administrasi kecamatan sehingga menjadi informasi peringatan dini cuaca.
Analysis of Flood Vulnerability Levels Using Overlay Method With System-Based Scoring Geographical Information (Case Study: District Tangerang) Itah Safitri; Yayat Ruhiat; asep saefullah
Newton-Maxwell Journal of Physics Vol. 4 No. 2: Oktober 2023
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/nmj.v4i2.30354

Abstract

This research aims to determine the factors of flood disasters in Tangerang district, which consist of land height, slope, soil type, land use, river density, and rainfall, and to find out the results of flood mapping in Tangerang district. The research method used is the overlay method with scoring. This research uses secondary data consisting of rainfall data for the period 2022-2020, shp Admin data from Tangerang district, watershed data throughout Indonesia, OSM data throughout Indonesia, slope data throughout Indonesia, DEM data throughout Indonesia, DSMW data throughout Indonesia, 2017 landcover data. Data were processed using Microsoft Excel software, Arc GIS 10.8, and QGIS 3.26.0. Based on the results obtained, the flood disaster factors in Tangerang district that are very dominant in influencing the occurrence of floods in Tangerang district are soil type and slope. Meanwhile, the results of flood mapping in Tangerang district are categorized into three classes: not vulnerable, moderately vulnerable, and fragile. Four sub-districts in Tangerang Regency are not prone to flood disasters, including Panongan, Legok, Cisauk, and Pagedangan sub-districts. Meanwhile, the Tangerang district, which is categorized as quite vulnerable, consists of 9 sub-districts, namely the sub-districts of Kelapa Dua, Curug, Cikupa, Tigaraksa, Jambe, Solear, Jayanti, Cisoka, Balaraja. Meanwhile, there are 16 sub-districts in Tangerang Regency which are categorized as very vulnerable, namely Pasar Kemis, Sindang Jaya, Kresek, Gunung Kaler, Sukamulya, Sepatan, Sepatan Timur, Rajeg, Kemiri, Kronjo, Mekar Baru, Mauk, Sukadiri, Pakuhaji, Teluk Naga, Kosambi districts.

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