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All Journal Jurnal Sistem dan Manajemen Industri Makara Journal of Technology QISTINA: Jurnal Multidisiplin Indonesia International Journal of Electrical, Computer, and Biomedical Engineering (IJECBE)
Sasono Rahardjo, Sasono
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Fiber Optic Ring Resonator Sensor Detection Technique Based on Spectral Intensity Integration Priambodo, Purnomo Sidi; Rahardjo, Sasono; Witjaksono, Gunawan; Hartanto, Djoko
Makara Journal of Technology Vol. 19, No. 1
Publisher : UI Scholars Hub

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Abstract

Resonant field phenomenon in optical ring resonator has been a major theme for various studies and can be used for various sensor applications. The spectral response shape changes are subjects to be discussed and analyzed for detection in optical sensor system. The spectral response changes are caused by various factors ranging from refractive index of the surrounding medium, medium loss due to absorption and scattering, and coupling variation between waveguides. These optical phenomena are mostly used for bio-sensor applications, since it is free from electromagnetic interference (EMI) and non-physically destructive. In this paper, we discuss our current research in developing optical bio-sensor in the form of a fiber optic ring resonator with monochromatic laser source based on spectral integration detection method, which is sufficiently sensitive and accurate.
Analysis of Bare Uniform Fiber Bragg Grating Sensor for Measuring Strain on the Landing Gear of the LSU-02 Unmanned Aircraft Anwar, Rudi Choirul; Purnamaningsih, Retno Wigajatri; Rahardjo, Sasono; Hamidah, Maratul; Martha, Aryandi; Firdaus, Muhammad Yusha; Pramudya, Tinova
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 3 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i3.70

Abstract

This paper reports the results of testing a bare uniform FBG sensor for measuring strain occurring on the landing gear of an unmanned aircraft. The landing gear used in this research is made from carbon fiber, known for its high strength and stiffness. The FBG sensor is positioned 20 cm from the center point of the landing gear, specifically at the curved section, to optimize strain detection. Static testing to measure strain was conducted by applying varying mass loads from 0 to 9 kilograms to test the sensor's response to load changes. Measurement results show a constant measurement threshold at a load of 50 grams, indicating sensor stability within that load range, with a measurement resolution of 0.1654 microstrain. Comparison of FBG measurement results with the BLFAB-55 strain gauge sensor revealed a measurement difference of 5.9%. Further research was conducted by introducing disturbances in the form of wind at speeds of 5 m/s and 10 m/s, and temperature disturbances of 30°C and 45°C. The results showed that the 45°C temperature disturbance had the most significant impact on the strain changes measured by the FBG, with an increase in strain value of 265% compared to when there was no disturbance.
Technology content assessment for Indonesia-cable based tsunameter development strategy using technometrics model Soehadi, Gani; Setianingrum, Lesti; Rahardjo, Sasono; Yogantara, I Wayan Wira; Purnomo, Edhi; Purwoadi, Michael Andreas; Santoso, Irawan
Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v7i1.5748

Abstract

This research aims to calculate the value of the Technology Contribution Coefficient (TCC) and determine the priority of technology component improvement in the development of the Indonesia-Cable Based Tsunameter (INA-CBT) Tsunami Early Warning System (TEWS) conducted by the National Research and Innovation Agency (BRIN) Research Center for Electronics (RCE). In this study, the Technometrics model is used to calculate the technology contribution of technology components and TCC, while Analytical Hierarchy Process (AHP) is used to calculate the value of the technology contribution intensity of technology components. The results showed that the TCC value of the RCE is 0.55 (Good). With the state-of-the-art value of 1, the RCE still has the opportunity to make improvements, especially on Infoware components with the lowest contribution value, to increase TCC. In calculating the technology contribution intensity, Infoware obtained the highest score of 0.447 compared to other technology compo­nents, therefore Infoware needs to be prioritized for improvement so that it is expected that the management of RCE can increase the quality and accuracy of the engineering design and simulation stage because it is a critical point in the development of INA-CBT.
Tinjauan Teknologi Digital Twin Untuk Sistem Pemeliharaan Prediktif Kendaraan: Aplikasi pada Kendaraan Darat Militer-TNI AD Siregar, Stiven Alfonso; Aprianto, I Nengah Putra; Rahardjo, Sasono
QISTINA: Jurnal Multidisiplin Indonesia Vol 4, No 2 (2025): December 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/qistina.v4i2.7284

Abstract

Pemeliharaan prediktif merupakan pendekatan strategis yang semakin penting dalam menjaga kesiapan dan keandalan kendaraan militer darat, khususnya yang mengandalkan teknologi daya gerak seperti motor listrik, gearbox, dan aktuator. Dengan berkembangnya teknologi digital twin yaitu representasi digital real-time dari aset fisik pemeliharaan prediktif menjadi lebih akurat dan efektif melalui monitoring kondisi komponen, simulasi, dan analisis data berbasis kecerdasan buatan dan Internet of Things (IoT). Artikel ini menyajikan tinjauan literatur sistematis mengenai pemanfaatan digital twin dalam predictive maintenance, dengan fokus aplikasi pada kendaraan militer darat yang beroperasi di lingkungan keras dan menuntut tingkat kesiapan optimal. Berdasarkan analisis 20 jurnal dari tahun 2020 hingga 2025, artikel ini menguraikan definisi, arsitektur, dan framework digital twin yang diterapkan untuk pemantauan real-time serta prediksi kerusakan komponen daya gerak. Penelusuran juga menyoroti peran machine learning dan AI dalam meningkatkan sensitivitas deteksi dini serta integrasi IoT untuk pengumpulan data kondisi secara kontinu. Implementasi digital twin terbukti meningkatkan akurasi perawatan, mengurangi downtime, serta memperpanjang umur aset kendaraan. Studi ini menegaskan bahwa teknologi digital twin sangat potensial untuk mendukung manajemen pemeliharaan armada kendaraan militer darat TNI AD. Rekomendasi diberikan untuk pengembangan sistem yang adaptif sesuai karakteristik operasi dan lingkungan Indonesia, serta kebutuhan pelatihan bagi personel teknis agar efektif dalam mengelola teknologi ini.
Co-Authors Anggraeni, Sakinah Puspa Anwar, Rudi Choirul Aprianto, I Nengah Putra Djoko Hartanto Dwiyanti, Hanifah Firdaus, Muhammad Yusha Gani Soehadi Gunawan Witjaksono Hamidah, Maratul Irawan Santoso Lubis, Teddy Alhady Martha, Aryandi Nami, Osen Fili Pramudya, Tinova Purnomo Sidi Priambodo Purnomo, Edhi Purwoadi, Michael Andreas Rahmadiansyah, Maristya Rasuanta, Muhammad Putra Retno Wigajatri Purnamaningsih Setianingrum, Lesti Siregar, Stiven Alfonso Widaryanto, Afif Widati, Peni Laksmita Yogantara, I Wayan Wira