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All Journal International Journal of Electrical and Computer Engineering Telaah Journal of Technomaterial Physics Indonesian Journal of Chemical Studies (Indones. J. Chem. Stud.) Journal of Artificial Intelligence and Digital Business
Andi Setiono
Bidang Instrumentasi Fisis dan Optoelektronika Pusat Penelitian Fisika – Lembaga Ilmu Pengetahuan Indonesia (PPF-LIPI)
Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Physics

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PERANCANGAN ALAT UKUR PEMILIH JANGKAUAN UNTUK MENGUKUR DAYA OPTIK Hanto, Dwi; Setiono, Andi; Sugiarto, Iyon T.; Waluyo, Thomas B.; Widiyatmoko, Bambang
Telaah Vol 32, No 2 (2014)
Publisher : Research Center for Physics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/tel.32.2.183

Abstract

Tulisan ini menjelaskan tentang pembuatan rangkaian pemilih jangkauan pada perancangan alat ukur daya optik atau powermeter optik. Penelitian yang dilakukan adalah membuat rangkaian pengkondisi sinyal. Rangkaian ini dibuat berdasarkan penguat transimpedansi dengan 6 buah pilihan resistansi umpan balik, yaitu 1 kΩ, 10 kΩ, 100 kΩ, 510 kΩ, 1 MΩ, dan 2 MΩ. Pengukuran dilakukan dengan menggunakan sumber cahaya berupa laser dengan panjang gelombang 1310 nm. Untuk variasi nilai, daya optik dari laser diatenuasikan dengan menggunakan atenuator optik sampai dengan 60 dB. Keluaran dari rangkaian ini berupa tegangan listrik yang diukur dengan menggunakan voltmeter. Dari hasil pengukuran kami menemukan bahwa setiap nilai resistansi memiliki jangkauan yang berbeda. Nilai daya optik pada masing-masing pemilihan resistansi adalah seperti berikut: -15 dBm s.d. -4.96 dBm pada resistansi 1 kW, -20 dBm s.d. -8 dBm pada resistansi 10 kΩ, -32 dBm s.d -18 dBm pada resistansi 100 kΩ, -40 dBm s.d. -28 dBm pada 510 kΩ, -45 dBm s.d. -28 dBm pada resistansi 1MΩ, dan -50 dBm s.d. -40 dBm pada resistansi 2 MΩ. Penelitian ini dapat dikembangkan untuk membuat alat ukur daya optik multijangkauan dengan ketelitian yang baik dengan mengganti beberapa nilai resistansi sesuai dengan jangkauan yang diinginkan.
Optical laser-generated electricity for powering tilt-meter sensor Nelfyenny, Nelfyenny; Bayuwati, Dwi; Suryadi, Suryadi; Husdi, Irwan Rawal; Mulyanto, Imam; Prasetio, Aditya Dwi; Irawan, Dedi; Widiyatmoko, Bambang; Setiono, Andi
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i6.pp6140-6147

Abstract

This research investigated the feasibility and efficacy of power over fiber (PoF) transmission systems for geotechnical monitoring applications, addressing challenges associated with traditional power transmission methods. Leveraging fiber optic technology, PoF systems offer advantages such as high reliability, minimal signal loss, and immunity to environmental factors. The study presents a detailed design and implementation of a PoF transmission system, integrating a high-power laser source (HPLS) and photovoltaic technology for efficient power transmission over extended distances. Results demonstrate impressive volt-ampere characteristics and conversion efficiencies, with the optimized system configuration achieving a peak power output of 682 mW. Furthermore, the study evaluated the performance of a surface inclinometer sensor powered by the PoF system, showcasing its effectiveness in monitoring soil movements with remarkable stability and consistent power supply. Future research directions include scalability studies, optimization of system efficiency, and field deployments to broaden the applicability of PoF technology in geotechnical monitoring, ultimately advancing disaster mitigation and infrastructure resilience efforts.
Design of Fiber Optic Load Sensor for Low-Load Detection Using Microbending Method Setiono, Andi; Tarigan, Kerista; Baruara, Lamrouli
Journal of Technomaterial Physics Vol. 5 No. 1 (2023): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v5i1.9991

Abstract

This research aimed to design and investigate the fiber optic load sensor produced from the mixture of 100 mesh grains of sand, silicone rubber, and catalyst. The response of the resulted fiber optic load sensor was measured by detecting the microbending of single-mode fiber optic in the form of the power meter. The test was conducted using a light source as an input signal on the sensor. The laser is stable for each load sensor test, with a wavelength of 1500 nm. The study's results confirmed that the load sensor's response has a connection between the amount of load and the voltage; the greater the pressure or load, the less the output power will decrease and cause signal weakening.
Synthesis and Characterization of Titanium Dioxide/Graphene Nanoplatelets Nanocomposites via Planetary Ball Milling for Military Radar Absorbing Materials Amalia, Gita Resty; Hardiansyah, Andri; Rasendriya, Anselmo Bima; Rahmadtullah, Ismail; Setiono, Andi; Murniati, Riri
Indonesian Journal of Chemical Studies Vol. 4 No. 1 (2025): Indones. J. Chem. Stud., June 2025
Publisher : Indonesian Scholar Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55749/ijcs.v4i1.67

Abstract

Stealth technology is widely used in the military field to avoid enemy detection. Consequently, there has been a significant surge in research related to radar-absorbing materials (RAMs). Titanium dioxide (TiO2) and graphene nanoplatelets (GNPs) are promising materials for developing RAMs. Combining TiO2 as a semiconductor with GNPs as a conductive material could increase the ability to absorb microwaves through a more effective energy dissipation mechanism. In our study, TiO2 and GNPs were fabricated using the planetary ball milling method. The structure and morphology of the resulting nanocomposites were evaluated using Field Emission Scanning Electron Microscopy with Energy Dispersive Spectroscopy with Energy Dispersive Spectroscopy (FE-SEM EDS) and X-ray Diffraction (XRD). FE-SEM observations showed that TiO2 nanoparticles were attached to the surface of layered GNPs. XRD analysis showed a decrease in the peak intensity of the TiO2/GNP nanocomposites compared to pure TiO2 due to the addition of carbon elements. The performance of RAMs was evaluated using a Vector Network Analyzer (VNA) in the X-band (8-12 GHz) range with a 3-mm thickness. The VNA analysis indicated that the TiO2/GNP nanocomposites exhibited the optimal reflection loss (RL) of -30.72 dB at a frequency of 8.42 GHz, accompanied by a through power of 99.91%. Consequently, TiO2/GNP nanocomposites demonstrated promising potential as a military RAM.
Fabrication and Characterization of Graphene Nanoplatelets/Zinc Oxide Nanocomposites as a Military Radar Absorbing Material Rasendriya, Anselmo Bima; Hardiansyah, Andri; Amalia, Gita Resty; Rahmadtullah, Ismail; Setiono, Andi; Piliang, M. Zuhnir; Renta, Hotma
Indonesian Journal of Chemical Studies Vol. 4 No. 1 (2025): Indones. J. Chem. Stud., June 2025
Publisher : Indonesian Scholar Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55749/ijcs.v4i1.69

Abstract

Stealth aircraft have the capability to intercept radar waves. One common technique involves the use of radar-absorbing materials (RAMs). This study focused on the synthesis of advanced lightweight functional materials derived from advanced carbon and semiconductor compounds for microwave absorbing through mechanical homogenization. Graphene nanoplatelets (GNP) and Zinc Oxide (ZnO) possess excellent dielectric and magnetic loss capability due to their thermal conductivity, small particle size, large surface area, disordered structure, and lightweight nature. The GNP and ZnO were developed as advanced carbon and semiconductor nanocomposites using Planetary Ball Milling (PBM) at a ratio of 1:1. This approach aimed to improve the structure, morphology, and electromagnetic performance of the materials. A comparison between the nanocomposite materials and their precursors was conducted to clarify the advantages of using nanocomposites. FE-SEM showed the layered carbon sheets in GNP. XRD exhibited the alteration in the crystallite structure of ZnO, while FTIR spectroscopy confirmed the presence of specific functional groups. In addition, the GNP/ZnO nanocomposites showed strong microwave polarization capabilities. Notably, the GNP/ZnO nanocomposite achieved the lowest RL value compared to the precursor materials with a value of -28.21 dB at 8.45 GHz and a thickness of 3 mm in the scope of X-band range. While the through power was calculated at 99.84%. Through mechanical homogenization, a well-structured disordered crystallite layered material was fabricated for military RAMs. In the industrial sector, GNP/ZnO nanocomposites showed promising potential as a lightweight and advanced functional material for future stealth aircraft applications.
Aplikasi Pemantauan dan Prediksi Kadar Kualitas Air Sungai Dengan Algoritma Random Forest Pada Pusat Riset Fotonika Samudra, Achdiyat Ilyasa; Syawal, Rio Mulya; Satrio, Teguh; Haryono, Wasis; Suryadi, Suryadi; Widiyatmoko, Bambang; Setiono, Andi
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1439

Abstract

Tujuan penelitian ini adalah untuk merancang dan mengembangkan sebuah aplikasi berbasis teknologi yang mampu melakukan pemantauan dan prediksi kualitas air sungai secara otomatis dan real-time. Sistem ini menggabungkan teknologi Internet of Things (IoT) dengan algoritma machine learning, yaitu XGBoost Regressor dan Random Forest Classifier, guna meningkatkan akurasi dan efisiensi dalam pengolahan data lingkungan. Permasalahan penurunan kualitas air sungai yang disebabkan oleh pencemaran industri, domestik, dan pertanian menjadi latar belakang utama dari penelitian ini. Data yang digunakan merupakan data historis kualitas air, yang mencakup parameter pH, suhu, dan kekeruhan, dikumpulkan oleh perangkat IoT berbentuk pelampung yang dikembangkan oleh Pusat Riset Fotonika – BRIN. Data tersebut diolah menggunakan algoritma XGBoost Regressor untuk memprediksi nilai parameter air di masa mendatang, dan Random Forest Classifier untuk mengklasifikasikan tingkat kelayakan air seperti Tidak Layak, Cukup Layak, Layak, dan Sangat Layak. Aplikasi ini dikembangkan dalam dua platform, yaitu mobile (menggunakan React Native) dan website (menggunakan React JS), dengan backend Node.js dan database MySQL. Hasil pengujian menunjukkan bahwa sistem mampu memberikan informasi secara akurat, cepat, dan responsif, serta dapat digunakan langsung oleh pengguna untuk pengambilan keputusan. Sistem ini tidak hanya berfungsi sebagai alat monitoring, tetapi juga sebagai sarana edukasi dan pengawasan lingkungan berbasis teknologi digital yang berkelanjutan. Penelitian ini memberikan kontribusi penting dalam pengembangan sistem monitoring lingkungan berbasis data yang adaptif, presisi, dan dapat diakses oleh berbagai kalangan masyarakat.
Co-Authors Aditya Dwi Prasetio, Aditya Dwi Amalia, Gita Resty Bambang Widiyatmoko Baruara, Lamrouli dedi irawan Dwi Bayuwati Dwi Hanto Hardiansyah, Andri Haryono, Wasis Husdi, Irwan Rawal Imam Mulyanto Iyon T. Sugiarto, Iyon T. Murniati, Riri Nelfyenny, Nelfyenny Piliang, M. Zuhnir Rahmadtullah, Ismail Rasendriya, Anselmo Bima Renta, Hotma Samudra, Achdiyat Ilyasa Satrio, Teguh Suryadi Suryadi Syawal, Rio Mulya Tarigan, Kerista Thomas B. Waluyo, Thomas B.