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The Synthesized-Hydroxyapatite Powder from Anadara Granosa Shells using Deposition Time Method for Biomedical Applications Sunardi, Sunardi; A’yun, Nidha Aulia Qurrata; Dari, Qorinah Wulan; Aminuddin, Jamrud; Bilalodin, Bilalodin; Praktino, Budi; Yulianti, Evi; Utomo, Agung Bambang Setio; Sari, Kartika
Jurnal Ilmu Fisika Vol 16 No 1 (2024): March 2024
Publisher : Jurusan Fisika FMIPA Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.16.1.88-96.2024

Abstract

Hydroxyapatite (HAp) powder, one of the biomaterials derived from natural sources, could be used in biomedical applications. In this research, the synthesized-HAp powder from Anadara Granosa shells as raw materials had a high calcium carbonate content with variations in deposition time using the precipitation method. Variations of deposition time used were 0 (S0), 24 (S24), and 48 (S48) hours. Fourier Transform Infrared (FTIR), X-Ray Diffractions (XRD), and Scanning Electron Microscopy (SEM) were used to investigate the chemical structure, phase analysis, and morphology of the synthesized HAp powder. FTIR results of the S0, S24, and S48 showed that the functional groups ,  and were formed at variations in the deposition time. The XRD results showed that the smallest of crystallite size of S48 was 26.03 nm, and the crystallinity degree of S24 was 38.74%. The grain dispersity of the synthesized-hydroxyapatite powder from SEM results were uniform, agglomeration, and spherical, irregular shape. The Ca, P, Mg, and Si compositions were shown in the synthesized-hydroxyapatite powder. The deposition time affects the synthesized-Hydroxyapatite (HAp) powder from the Anadara Granosa shell, and it is a potential raw material for biomedical applications.
Identifikasi Perambatan Gelombang Kelvin pada Fluktuasi Parameter Atmosfer di Wilayah Padang, Jakarta dan Pontianak Menggunakan Data Radiosonde dan GNSS-RO Haryandi, Reza Afrilia Putri; Noersomadi, Noersomadi; Aminuddin, Jamrud; Paratessa, Alyah; Almasah, Disty Nada; Palutfi, Wardani Retno
Journal of Science and Applicative Technology Vol 8 No 2 (2024): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v8i2.1529

Abstract

Analisis pergerakan gelombang Kelvin pada fluktuasi parameter atmosfer dilakukan dengan memanfaatkan data pengamatan vertikal atmosfer dari radiosonde dan GNSS-RO. Metode filtering dengan penerapan Fast Fourier Transform (FFT) digunakan untuk mengidentifikasi arah dan fluktuasi perambatan gelombang temperatur di lapisan troposfer atas hingga stratosfer bawah. Hasil plot deret waktu parameter atmosfer menunjukkan bahwa fluktuasi temperatur dan komponen angin zonal memiliki perambatan yang identik dengan gelombang Kelvin. Perambatan temperatur dan angin zonal berpropagasi ke arah timur dengan skala waktu 7-10 harian serta 10-20 harian. Temperatur berfluktuasi dengan interval nilai –4 sampai 4 K untuk data radiosonde dan –3 hingga 3 K untuk data GNSS-RO. Fluktuasi komponen angin zonal berkisar pada rentang –30 hingga 10 m.s-1.
Pompa Air Hemat Energi dan Ramah Lingkungan menggunakan Kincir sebagai Tenaga Penggerak Aminuddin, Jamrud; Sunardi; Mukhtar Effendi; Wihantoro; Aris Haryadi
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 1 No. 3 (2023): Jurnal Ilmiah Pengabdian dan Inovasi (Maret)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (831.35 KB) | DOI: 10.57248/jilpi.v1i3.51

Abstract

A water pump with a wheel as the driving force has been successfully realized in Plana Village, Banyumas Regency, Central Java Province. This activity was carried out with the fish cultivator group, namely Tirta Lestari. The group uses the flow of the Serayu River as a water source for irrigating fish ponds. The position of the fish pond is about 5-6 meters higher than the river flow, so the water removal process is carried out using a water pump. Since the position of the fish pond is very far from electricity, the only solution for water supply is to use an engine-powered water pump so that the group's profits have yet to be maximized. Therefore, the water pump is a development of the research results and service carried out at the Physics Department, Faculty of Mathematics and Natural Sciences, Universitas Jenderal Soedirman. In this activity, small-scale water pump design will be socialized as a pilot for the group to be developed on a large scale. The partner group enthusiastically welcomed the pump successfully realized because the design was simple and easy to make.
Hybrid Water Pump with River Flow and Solar Power for Farmer Groups in Plana Village-Banyumas Central Java Aminuddin, Jamrud; Widarawati, Rosi; Soedibya, Petrus Hary Tjahja; Shokib, Maskhiyatus; Vita, Tika Ayunda; Azmi, Ulil; Saputra, Dian Rizqi
Poltanesa Vol 26 No 1 (2025): June 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i1.3293

Abstract

Plana Village located in Somagede District, Banyumas Regency, Central Java Province is about 25 km Southeast of the Universitas Jenderal Soedirman Campus. In this village, a small business group is engaged in freshwater fish farming under the names TIRTA LESTARI and GAPOKTAN PLANA JAYA fish cultivator groups. Based on direct observations, the group uses the Serayu River as the primary water source for their fish ponds. The position of the fish pond is around 10 meters higher than the river flow so the water lifting process is carried out using a water pump. The only solution for providing water is to use a machine-powered water pump. The group complained about this solution because they had to pay operational costs for engine fuel. As a result, the group's profits are not optimized. Considering these conditions, a water pump technology transfer activity with a waterwheel as the driving force is planned to develop the results of research and service carried out in the Physics Department, Faculty of Mathematics and Natural Sciences, Universitas Jenderal Soedirman.  The goal of the operations that have been conducted is to address partner concerns regarding the provision of water supplies. Activities aimed at becoming an economically productive partner will prioritize key issues, including the implementation of green energy technology, such as hybrid water pumps powered by solar energy and river flow. The next step involves providing training and counseling sessions for the TIRTA LESTARI agriculture group and the merged PLANA JAYA farming group.
PERKEMBANGAN PENGGUNAAN INTELIGENSIA BUATAN SEBAGAI ALAT BANTU DIAGNOSA PENYAKIT PERIODONTITIS BERBASIS DATA CITRA RONTGEN PANORAMIK GIGI: KAJIAN PUSTAKA Gumelar, Syahrul Fadholi; Aminuddin, Jamrud; Effendi, Mukhtar
Jurnal Fisika : Fisika Sains dan Aplikasinya Vol 10 No 1 (2025): Jurnal Fisika : Fisika Sains dan Aplikasinya
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/fisa.v10i1.20771

Abstract

Kemajuan dalam bidang Inteligensia Buatan (Artificial Intelligence, AI) telah menghadirkan peluang baru dalam dunia medis, khususnya dalam analisis citra medis berbasis prinsip fisika. Penyakit periodontitis, yang merupakan infeksi kronis pada jaringan penyangga gigi, dapat dideteksi melalui pencitraan rontgen panoramik yang memanfaatkan sifat penyerapan dan hamburan sinar-X oleh struktur anatomi gigi dan tulang alveolar. Namun, analisis citra ini sering kali bergantung pada subjektivitas dokter gigi, sehingga diperlukan pendekatan komputasional untuk meningkatkan akurasi deteksi. Kajian pustaka ini bertujuan untuk mengidentifikasi metode AI yang diterapkan dalam proses diagnosis periodontitis menggunakan citra rontgen panoramik gigi. Delapan artikel ilmiah yang direview menunjukkan penggunaan teknik ekstraksi fitur seperti Gray Level Co-occurrence Matrix (GLCM) dan algoritma klasifikasi meliputi Random Forest, k-Nearest Neighbours (kNN), Convolutional Neural Network (CNN), YOLOv4, InceptionV3, dan Faster R-CNN. Evaluasi performa menghasilkan akurasi antara 64% hingga 91% dan nilai F1-score tertinggi sebesar 91,07%. Validitas metodologi pada artikel dinilai menggunakan Newcastle-Ottawa Scale (NOS) dan mayoritas menunjukkan kualitas sedang hingga tinggi. Temuan ini memperlihatkan bahwa integrasi AI dalam analisis radiografi gigi berpotensi memberikan hasil diagnosis yang lebih objektif dan efisien..
TEMPORAL AND DEPTH VARIATION OF SEISMIC PARAMETERS PRIOR TO MAJOR EARTHQUAKES IN PALU REGION, INDONESIA Rahmalia, Diah Ayu; Andinisari, Ratri; Tampubolon, Danastri Lintang Pitaloka; Aminuddin, Jamrud; Yuliardi, Amir Yarkhasy; Fadhilah, Firda Haifa
JGE (Jurnal Geofisika Eksplorasi) Vol. 11 No. 3 (2025)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v11i3.498

Abstract

The Palu region in Central Sulawesi is high tectonic activity area due to a subduction zone and major fault system, which resulted in high seismic intensity. The b value, as the seismic characteristic, is a valuable parameter for evaluating stress conditions and earthquake precursors. This study aimed to investigate the temporal and depth variations of the b-value in the Palu region. We observed earthquake distribution over 75 years from 1950 to 2025, which was obtained from the United States Geological Survey catalog. We applied the declustering analysis to isolate the mainshock events by using the space-time window method. We also conducted the magnitude completeness estimation and b-value calculation with ZMAP. This result showed that the average b-value was around 0.88, which was indicated as an intermediate level of seismic activity, influenced by subduction and the Palu-Koro Fault. Decreasing b-value was observed prior to the 1996 and 2018 earthquakes, followed by an increase in the parameter. This pattern exhibited stress accumulation and release, which was represented by the magnitude distribution. This lowering characteristic of b-value could be a long term precursor to major earthquakes. Furthermore, the depth variation of b-value revealed high values in the upper crust (0–10 km), a decrease around 20–30 km, and a secondary increase near 40 km, which corresponds to the Moho, as indicated by shear wave velocity profiles. These results provide insight into the crustal structure and seismic behavior in a tectonically complex and tsunami-prone region.