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Pengembangan Perangkat Surface Plasmon Resonance (SPR) sebagai Transduser Biosensor Hastito, Fadli; Juliastuti, Endang; Yuliarto , Brian
Jurnal Otomasi Kontrol dan Instrumentasi Vol 17 No 2 (2025): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2025.17.2.3

Abstract

This study developed a simple and cost-effective laboratory-scale Surface Plasmon Resonance (SPR) device called β SPR. SPR is a sensitive, real-time, and non-labeling technique widely used to detect the concentration and quality of solutions. However, the very high price of commercial SPR devices is a barrier, so a portable and affordable version was developed. The β SPR device uses a Kretschmann configuration with a 670 nm laser, a polarizer, and a modified Porro BA4010 prism for a simpler and more efficient optical configuration. A thin gold film (~50 nm) is placed on the prism using immersion oil, and the test solution is flowed through a flow cell. The laser is fired at a 90° angle to induce p-polarized waves that trigger surface plasmon resonance. This phenomenon decreases the light reflectance, forming a dip curve used for analysis. The device was tested using glucose solution (0.05–0.27 M) and compared with a commercial SPR device (α SPR). The results show a shift in the angle with increasing concentration. The highest error was 6.53% at 0.05 M, and the lowest was 0.94% at 0.27 M. The β SPR sensitivity was recorded at 4.41⁰/M, showing promising performance for cost-effective biosensor applications.
Pemetaan Emosi Publik seputar Pengumuman UTBK 2025 di Indonesia: Pendekatan Multi-Label dengan Kalibrasi Bertarget Sari, Rizki Yustisia; Sabar, Sabar; Joni, Joni; Pratama, Gelard Unthirta; Ronal, Ronal; Hastito, Fadli
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 1 (2026): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2028.18.1.1

Abstract

This study maps public emotions in Indonesian-language tweets related to the 2025 UTBK announcement using multi-label emotion classification. The main challenges in multi-label emotion classification on social media include extreme label imbalance, distribution shift between training and application data, and weak lexical signals for specific emotions. This study aims to build a reliable emotion modeling framework for long-tail social media corpora while demonstrating generalizable post-training calibration practices. The novelty lies in the integration of four components: (1) per-label posterior calibration using Platt scaling, (2) precision-targeted per-label thresholding frozen from the development set, (3) score-quantile–based rate targeting to align predicted prevalence with domain-based rates, and (4) context-limited lexicon-aware boosting with a final clamp. The proposed pipeline is lightweight and model-agnostic. This research adopts a quantitative experimental approach by varying post-training calibration components to measure their impact on classification performance. An IndoBERTweet model is trained using BCEWithLogitsLoss on manually annotated data, then calibrated and evaluated on development and test sets. The results demonstrate balanced micro- and macro-level performance, improved detection of minority labels, and emotion mapping over 3,500 tweets with prevalence distributions consistent with Plutchik’s theory of emotions.
Effect of Electrokinetic Remediation on the Distribution and Concentration of Lead (Pb) in Ex-Mining Land of PT Semen Baturaja Tbk Komariah, Rahma Nur; Alfajrin, Achmad Chalid Afif; Aisyara, Arien; Halid, Muhammad Akmal; Simatupang, Lamtongam; Ghifari, Hamzah Daffa; Prasetia, Hendra; Widiatama, Angga Jati; Sabar, Sabar; Pesma, Rhahmi Adni; Hendrawan, Rezki Naufan; Hastito, Fadli
Jurnal Fisika Unand Vol 15 No 2 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.2.211-220.2026

Abstract

Mining activities can lead to the accumulation of heavy metals in soil, particularly lead (Pb), which poses risks to ecosystems and human health. PT Semen Baturaja Tbk has implemented revegetation as a post-mining reclamation strategy, but the success rate remains low, potentially due to high Pb concentrations in the soil. This study investigates the effectiveness of electrokinetic remediation in mobilizing Pb ions in ex-mining soil using aluminum electrodes under a 20 V direct current over treatment durations of 24 and 48 hours. Soil moisture was maintained at 900 ml, and Pb concentrations were measured using X-Ray Fluorescence (XRF). The results indicate that Pb²⁺ ions migrated towards the cathode, with a significant accumulation observed after 48 hours. However, an increase in Pb concentration near the anode was also detected, likely due to Pb oxidation at the anode plate, leading to remobilization of Pb into the soil. These findings highlight both the potential and limitations of electrokinetic remediation for in-situ heavy metal removal in post-mining land reclamation.