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All Journal Jurnal Pembangunan Wilayah dan Kota JURNAL FISIKA Teknosains: Media Informasi Sains dan Teknologi Jurnal Fisika Unand Elkawnie Jurnal Geosaintek JOURNAL ONLINE OF PHYSICS JPSE (Journal of Physical Science and Engineering) JPF (Jurnal Pendidikan Fisika) Universitas Islam Negeri Alauddin Makassar Jurnal TAMBORA Indonesian Physical Review Jurnal Metalurgi dan Material Indonesia Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Fisika dan Terapannya Journal of Health, Education, Economics, Science, and Technology (J-HEST) Hexagon HISABUNA: Jurnal Ilmu Falak Jurnal Geosaintek Frontier Advances in Applied Science and Engineering

Amirin Kusmiran

Universitas Islam Negeri Alauddin Makasar

Author-ID : 5681182

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

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IDENTIFIKASI ARAH GAYA TEGASAN DAN JENIS SESAR DENGAN SOFTWARE DIPS DAN METODE DIAGRAM RICKARD DI SUNGAI OYO YOGYAKARTA Ilham Maulana; Sahara Sahara; Amirin Kusmiran; Prihardjo Sanyoto; Topyana Topyana; Nurul Fuadi
Teknosains Vol 16 No 3 (2022): September-Desember
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v16i3.31184

Sungai Oyo yang terdapat di Dusun Plosodoyong Desa Ngalang Kecamatan Gedangsari Kabupaten Gunung Kidul, dengan struktur geologi dominan berupa sesar. Tujuan penelitian ini adalah untuk mengetahui arah tegasan yang membentuk struktur geologi pada dan penentuan jenis sesar Sungai Oyo. Metode penelitian yang digunakan yaitu metode proyeksi streografis dan identifikasi sesar dengan mendasarkan data kekar menggunakan software DIPS dan Diagram Rickard (1972). Hasil penelitian menunjukkan bahwa hasil dari proyeksi streografis software DIPS diperoleh arah umum tegasan utama (σ1) yaitu berarah barat laut - tenggara. Berdasarkan hasil dari proyeksi streografis software DIPS dan diagram Rickard (1972) secara berurutan diperoleh yaitu σ1 N 152° E / 80°, σ2 N 303° E / 11°, dan σ3 N 121° E / 79° dan menghasilkan jenis sesar berupa sesar naik dekstral (Trusht Right Slip Fault) yang disebabkan oleh gaya yang bekerja di bawah permukaan (gaya endogen).

Klasifikasi Kedalaman Kejadian Gempa Menggunakan Algoritma K-Means Clustering: Studi Kasus Kejadian Gempa Di Sulawesi Amirin kusmiran; Minarti; Muhammad Fawzy Ismullah Massinai; Ahmad Zarkasi; A. Andira Maharani; Rita Desiani
JFT : Jurnal Fisika dan Terapannya Vol 9 No 2 (2022): DESEMBER
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v9i2.29198

Sulawesi region is one of the region that have complex geologic conditions so that disasters caused by large scale earthquake frequently occur in these region. Depth and magnitude attribute of the earthquake that cause the disasters are investigation using machine learning technique. Longitude, latitude, magnitude, depth attributes are used to depth cluster of the earthquake events in 1970-2022 period. The cluster number have been optimized by Elbow method, and validated by Davies-Bouldin index (DBI). The result is shown that the three cluster is the best cluster than the others, and its Davies-Boludin index is 0.397. Depth of the fist cluster is less than equal to 120 km (shallow earthquake), the second cluster is among 120 km and 350 km (intermediate earthquake), and the third cluster is greater than 350 km (deep earthquake). The cluster visualizations of the earthquakes are revealed that shallow earthquakes with above 5 SR are frequently occurred in shallow depth. Based on results, Sulawesi Region is vulnerable to earthquake hazard, and K-Mean clustering algorithm is successfully to cluster of earthquake depth.

PENGARUH SODIUM METABISULFIT TERHADAP KENAIKAN CONSENTRATE GRADE Cu DAN PENURUNAN KANDUNGAN PYRITE Ainun; Amirin Kusmiran; Rita Desiasni
Hexagon Jurnal Teknik dan Sains Vol 1 No 1 (2020): HEXAGON - Edisi 1
Publisher : Fakultas Teknologi Lingkungan dan Mineral - Universitas Teknologi Sumbawa

PT. XX is one of the largest copper company in the world. Chalcopyrite (CuFeS2), bornite (Cu5FeS3) and pyrite (FeS2) are three major minerals in PT. XX is capable to produce about 2000 tons of concentrate per day, with design of processing capacity around 120,000 tonnes per day. To obtain grade Cu concentrates, an integrated method of extraction metallurgy (metal extraction) is usually carried out, so that this study focused on increasing low consentrate grade Cu, using lime and increasing pyrite content using the flotation method by varying pH and varying the dose of sodium metabisulfite. This is indicated by the percentage of Cu grade of 12.74%, the use of lime shows the percentage reduction of 50% and the decrease in pyrite to reach a percentage of 1.16%. Of the three variations of the SMB, namely no reagent, 150 and 300 in this study, 300 is a good dose in increasing grade Cu, reducing lime use and reducing pyrite content.

ANALISIS PENGARUH REAGEN MAX GOLD DAN GRINDING TIME TERHADAP RECOVERY Au Roby Maryudi; Amirin Kusmiran; Rita Desiasni
Hexagon Jurnal Teknik dan Sains Vol 1 No 1 (2020): HEXAGON - Edisi 1
Publisher : Fakultas Teknologi Lingkungan dan Mineral - Universitas Teknologi Sumbawa

PT XX is one of the largest copper companies in the world. There are 2 main minerals spread in PT XX, namely copper (Cu) and Gold (Au). With a processing capacity of 120,000 tons per day, PT XX is able to produce around 2000 tons of concentrate per day. There are several problems in processing, including decreasing the acquisition of grade and recovery of copper and gold because the gold content is still covered in impurities. The sample used is derived from cleaner, namely Polishing mill produck. This study aims to see the effect of grinding time on Au recovery and grade concentrate and see the effect of Max Gold and Pax reagents on recovery of Au and Au grade. The method used is grinding and flotation. The grinding process varies 0, 5 and 10 minutes and flotation using reagents and max gold, based on the results of the study it was found that the smaller the particle size with 10 minutes grinding using the pax reagent the grade and recovery gain increased for grade 6.62 ppm and recovery 84.7%.

ANALISIS KECOCOKAN NILAI PGA METODE DONOVAN TERHADAP DATA ACCELEROGRAPH (STUDI KASUS GEMPA MAMUJU, 14 JANUARI 2021) Muh. Said L; Almubdy Siraj Ramadhan; Amirin Kusmiran; Ramadhan Priadi; Alamsyah
JOURNAL ONLINE OF PHYSICS Vol. 8 No. 2 (2023): JOP (Journal Online of Physics) Vol 8 No 2
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jop.v8i2.21884

Abstrak Penelitian ini bertujuan memetakan wilayah dengan risiko nilai percepatan tanah maksimum dan menganalisis kecocokan nilai metode perhitungan empiris dan data accelerograph pada kasus gempa di Mamuju 14 Januari 2021. Data yang digunakan adalah data kasus gempa di Mamuju 14 Januari 2021 magnitudo 5,9 yang diperoleh dari Badan Meteorologi, Klimatologi, dan Geofisika Stasiun Geofisika Gowa. Parameternya terdiri dari data waktu, lintang, longitudinal dan kedalaman, magnitudo dan percepatan tanah (gal). Perhitungan nilai percepatan tanah dilakukan dengan menggunakan persamaan metode Donovan, sedangkan untuk menghitung kecocokan nilai digunakan persamaan nilai persen error. Hasil dari perhitungan percepatan tanah diperoleh nilai percepatan tanah maksimum tertinggi diperoleh pada wilayah kecamatan Tapalang, Tapalang Barat, Simboro dan Mamuju, dengan nilai berkisar 196,50-261,66 gal. Sedangkan nilai percepatan tanah terendah diperoleh pada wilayah kecamatan Kalukku, Bonehau, Kalumpang, Papalang, Sampaga dan Tommo dengan nilai 41,76- 122,67 gal. Persentase nilai error terhadap data nilai percepatan tanah pada accelerograph bernilai 6%, hal ini menandakan bahwa metode ini dapat digunakan dalam menghitung nilai percepatan tanah maksimum dengan meninjau magnitude gempa ≥ 5 M. Kata Kunci: Data accelerograph, Donovan, earthquake, magnitudo, PGA. Abstract [Title: Analysis of the Fitness of PGA Value of The Donovant Method to Accelerograph Data (Case Study of the Mamuju Earthquake, 14 January 2021)] This study aims to map the area with the risk of the maximum ground acceleration value and analyze the suitability of the value of the empirical calculation method and accelerograph data in the earthquake case in Mamuju on January 14 2021. The data used is earthquake case data in Mamuju on January 14, 2021 with a magnitude of 5.9 obtained from the Meteorology, Climatology and Geophysics Agency of the Gowa Geophysics Station. The parameters consist of time, latitude, longitudinal and depth data, magnitude and ground acceleration (gal). The calculation of the ground acceleration value is carried out using the Donovan method equation, while to calculate the value match the percent error value equation is used. The results of the calculation of ground acceleration obtained the highest maximum ground acceleration values obtained in the sub-districts of Tapalang, West Tapalang, Simboro and Mamuju, with values ranging from 196.50 to 261.66 gal. While the lowest ground acceleration values were obtained in the sub-districts of Kalukku, Bonehau, Kalumpang, Papalang, Sampaga and Tommo with a value of 41.76-122.67 gal. The percentage of error values for the ground acceleration value data on the accelerograph is 6%, this indicates that this method can be used in calculating the maximum ground acceleration value by considering the magnitude of the earthquake ≥ 5 M. Keywords: Accelerograph data, Donovan, earthquake, magnitude, PGA.

Physical and Mechanical Properties of Fiber Board from Corn Husk Fiber Rita Desiasni; Fauzi Widyawati; Yuliana Fitri Sersaningsih; Syamsul Bahtiar; Amirin Kusmiran
JPSE (Journal of Physical Science and Engineering) Vol 7, No 2 (2022): JPSE (Journal of Physical Science and Engineering)
Publisher : Universitas Negeri Malang

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

Using agricultural waste materials, namely corn husk fiber (CHF), to reduce agricultural waste and recycle corn husk waste into sustainable engineering materials is relatively significant due to the decreasing number of woods. This study aims to analyze the effect of the volume fraction of CHF with polyester (PE) on the physical and mechanical strength of fiberboard composites with variations in volume fraction of 25 percent fiber : 75 percent PE, 50 percent fiber : 50 percent PE, and 75 percent fiber : 25 percent PE. Composites are made by the hand layup method. Fibers were pretreated by immersing 5 percent NaOH for 2 hours. The results of testing the physical properties of the highest density composite board at a volume fraction of 25 percent fiber : 75 percent PE of 0.85 g/cm³ and the lowest moisture absorption value was at 0.49 percent. The results of the mechanical board test in the form of the modulus of elasticity (MOE) test got the highest test value at the fiber volume fraction 25 percent fiber : 75 percent PE, which was 1179.2 MPa as well as the highest modulus of rupture (MOR) test value was found in the volume fraction 25 percent fiber: 75 percent PE that is equal to 9.4 MPa. Based on this result research, the average strength of the mechanical properties increases with the increase in the number of matrices. That indicates a reasonably good bond between the fiber and the matrix. The results of the water content test also increased as the density value increased.DOI: 10.17977/um024v7i22022p134

Clustering and Risk Analysis of The Earthquake in Sulawesi Using Mini Batch K-Means, K-Medoids, and Maximum Likelihood Method Amirin Kusmiran
Elkawnie: Journal of Islamic Science and Technology Vol 9, No 1 (2023)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/ekw.v8i2.13027

Abstract: The earthquake events have been widely analyzed using a statistical approach. Therefore, the sole purpose of this research is clustering and risk analysis of earthquake events based on the combination of machine learning and statistics. The machine learning, conducted by Mini Batch K-Means and K-Medoids, is validated by the Davies-Bouldin index method to earthquake events cluster. Furthermore, the statistics approach conducted by the maximum likelihood method is to estimate the b-value and a-value of earthquake events. The data used in the earthquake events analysis in Sulawesi have a magnitude 5 SR during the period 1980-2022. The results show that the Mini Batch K-Means method is more efficient and accurate than the K-Medoids, and can cluster the earthquakes, namely cluster 0 below 100 km (shallow earthquake), cluster 1 above 100 km to 350 km (medium earthquake), cluster 2 above 350 km (deep earthquake), while K-Medoids method has two clusters namely cluster 0 below 100 km (shallow earthquake), and cluster 1 above 100 km to 350 km. The regions with b-value and a-value less than 0.9 and 7.5, respectively, and in cluster 0, namely the western part of North Sulawesi, Gorontalo, Middle Sulawesi, and West Sulawesi Province, are as vulnerable to earthquake disasters. Meanwhile, the region in cluster 1 and cluster 2 with b-value and a-value more than 0.9 and 7.5 respectively namely South Sulawesi, the Northern part of North Sulawesi, and Southeast Sulawesi Province, are categorized as minor earthquake disasters. Furthermore, the clustering and risk analysis based on these methods results are good performance, which has recognised cluster and vulnerability of the earthquake events.Abstrak: Kejadian gempa bumi telah banyak dianalisis dengan menggunakan pendekatan statistik. Oleh karena itu, tujuan penelitian untuk menganalisis kejadian gempa dengan menggunakan kombinasi pendekatan machine learning dengan statistik. Pendekatan machine learning dilakukan dengan metode baru yakni metode Mini Batch K-Means dan K-Medoids yang divalidasi dengan metode Davies-Bouldin indeks yang digunakan untuk mengklaster kejadian gempa, sedangkan pendekatan secara statistik dilakukan dengan metode maximum likelihood untuk mengestimasi kerentanan gempa bumi berdasarkan nilai-b dan nilai-a. Data yang digunakan yakni data kejadian gempa di Sulawesi dengan magnitudo ≥ 5 SR dengan periode 1980-2022. Hasil menunjukan bahwa metode Mini Batch K-Means lebih effisien dan akurat dibandingkan dengan metode K-Medoids, dan mengklasifikasi tiga klaster kedalaman gempa, yakni klaster 0 dengan kedalaman kurang dari 100 km (gempa dangkal), klaster 1 dengan kedalaman diantara 100 km dengan 350 km (gempa menengah), klaster 2 dengan kedalaman lebih dari 350 km (gempa dalam). Sementara metode K-Medoids dua klaster kedalama gempa, yakni klaster 0 dengan kedalaman dibawah 100 km (gempa dangkal), dan klaster 1 dengan kedalaman lebih dari 100 km. Beberapa wilayah yang mempunyai nilai-b dan nilai-a secara berurutan kurang dari 0,9 dan 7,5 dan termasuk ke dalam klaster 0, yakni Provinsi Sulawesi Utara bagian barat, Gorontalo, Sulawesi Tengah, dan Sulawesi Barat dikategorikan rawan terhadap bencana gempa; Sedangkan wilayah yang termasuk ke dalam klaster 1 dan klaster 2 dengan nilai-b dan nilai-a secara berurutan lebih dari 0,9 dan 7,5 yakni Provinsi Sulawesi Selatan, Sulawesi Utara bagian Utara, dan Sulawesi Tenggara dikategorikan sebagai rendah terhadap bencana gempa. Dengan demikian, kedua metode dapat digunakan untuk meng-klaster gempa dan identifikasi kerentanan kejadian gempa bumi.

IDENTIFIKASI JENIS AKUIFER AIR TANAH MENGGUNAKAN VERTICAL ELECTRICAL SOUNDING KONFIGURASI SCHLUMBERGER Arif Wijaya; Amirin Kusmiran
JFT : Jurnal Fisika dan Terapannya Vol 8 No 1 (2021): JUNI
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v8i1.21210

The availability of clean water is a basic need to meet daily needs. Therefore, the identification of groundwater and its aquifer types was carried out in Labulia, Alor sub-village, Central Lombok Region and Lilir sub-village, Membalan Village, West Lombok Region. The identification of groundwater and the type of aquifer is carried out using the vertical electrical sounding method with the Schlumberger configuration because this method can identify vertical resistivity more accurately than other resistivity methods, such as Wenner. The pseudo resistivity data obtained from these measurements is processed using IPI2Win software and progress. The result of the interpretation was that the aquifer in Olor Agung sub-village was a confined aquifer, while Lilir sub-village was a free aquifer.

Ekstraksi Frekuensi dari Bunyi Alqurans dengan Metode Discrete Fourier Transform: Studi Kasus Bunyi QS. Al-Fatihah Kusmiran, Amirin; Andi Syam Rizal; Sahara; Ahmad Zarkasi; Kasturi Ramadani
JFT : Jurnal Fisika dan Terapannya Vol 11 No 1 (2024): JUNI
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v11i1.45386

The Quran is a miracle received by the Prophet Muhammad. Alquran can use to reduce anxiety in patients with acute coronary syndrome, hemodialysis, schizophrenia, etc., when the sound retardation of this Qur'an, especially QS. Al-Fatihah. The physical properties of waves can be analyzed using the discrete Fourier transform method for frequency extraction. This method is scripted using the Python programming language. The results show that frequency in Qs. Al-Fatihah/1:1-7 are random in range 150 Hz – 800 Hz.Thus, the frequencies of the Quran, especially QS Al-Fatihah, are uneven waves that can cause harmonic vibrations against brain waves.

Rancang Bangun Insinerator Pengolahan Sampah dengan Penerapan Teknologi Termal yang Ramah Lingkungan Estu Broto, Prasepvianto; Fitriyanti; Amirin Kusmiran; Khaerul Ihsan
JFT : Jurnal Fisika dan Terapannya Vol 11 No 1 (2024): JUNI
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v11i1.45734

Concerns about environmental problems such as increasing the volume of waste which if not treated properly will affect environmental pollution which can damage soil fertility and also have an impact on human health. This study aims to make a waste processing incinerator with the application of thermal technology. Oil and water stoves are used as media for burning waste, the stove will burn the waste that has been put into the combustion chamber made of drums coated with clay. This clay coating aims to increase the temperature of the combustion chamber so that maximum combustion is obtained with minimal smoke. From the waste burning test, the temperature measurement results in the combustion chamber reached 751ºC. Carbon gas measured at the maximum temperature around the incinerator is 27 ppm. From the data obtained, it can be concluded that waste burning with an incinerator has been made to minimize air pollution so that it can be used for solutions in environmentally friendly waste processing.

Co-Authors A. Andira Maharani Adrianus Inu Natalisanto Afrian Wira Wardhana Ahmad Zarkasi Ainun Alamsyah Almubdy Siraj Ramadhan Andi Syam Rizal Andi Syam Rizal Apriliah, Risky Arif Wijaya Ayusari Wahyuni Chotban, Sippah Dwi Nurfajriana Syam Fajar Fajar Fauzi Widyawati Fitriyanti Hananda Putra, Muhammad Fauzan Hidayatullah, Muhammad Ilham Maulana Ilham, Rahmaniah Irsyadi Siradjuddin Karnaen, Muh. Kasturi Ramadani Khaerul Ihsan Kholis Nurhanafi Kormil Saputra Kurniati Abidin, Kurniati Minarti Minarti Minarti Minarti Mohammad Asrul Muh Said Lanto Muh. Said L Muhammad Anshar Muhammad Anshar Muhammad Fawzy Ismullah Massinai Muhammad Rezki Munafri, Yusuf Munir, Rahmawati Nuraidha, Amalia C Nurul Fuadi Prasepvianto Estu Broto Priadi, Ramadhan Prihardjo Sanyoto Rahmaniah, Rahmaniah Ramadhan Priadi Rita Desiani Rita Desiasni Rita Desiasni Roby Maryudi Sahara Sahara Sahara Sahara Sahara Sewang, Selvi Sopiandi Suryah Rahmah Syam, Dwi Nurfajriana Syamsuddin, Sahara Syamsul Bahtiar Tirta, Andy Topyana Topyana Utami, Fatia Arta Wahyuni, Ayusari Yuliana Fitri Sersaningsih

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