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All Journal Jurnal Teknologi Informasi MURA Journal of Multidisciplinary Applied Natural Science Jurnal Teknologi Informasi Mura
Pratama, Buky Wahyu
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Environmental Science Immunology & microbiology Materials Science & Nanotechnology Mathematics Physics Other

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Enhancing Supercapacitor Cell Capacitance through Liquid-Phase Exfoliation Synthesis of Graphene Pratama, Buky Wahyu; Suhendar, Haris; Dwandaru, Wipsar Sunu Brams; Santoso, Iman
Journal of Multidisciplinary Applied Natural Science Vol. 5 No. 2 (2025): Journal of Multidisciplinary Applied Natural Science
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.254

Abstract

Our study investigates the remarkable capacitance performance of a supercapacitor cell featuring electrodes synthesized through the liquid-phase exfoliation (LPE) method using environmentally friendly linear alkylbenzene sulfonate (LAS) surfactant. We explored different synthesis temperatures (15, 30, and 90 °C) to evaluate their impact on reducing sonication time. The electrodes, created by drop-casting graphene onto a silver plate substrate and heated at 50 °C, demonstrated exceptional cyclic voltammetry (CV) and charging-discharging (CD) results. Notably, the graphene synthesized at 90 °C exhibited a maximum capacitance of 59 F/g at a 13 mV/s scan rate in a 1.3 M KOH electrolyte gel, leading to superior energy density as shown in the Ragone plot. Our findings highlight the crucial role of increased synthesis temperature in LPE, enhancing supercapacitor cells through the expansion of sp2-ordered grain size, evident in the Raman shift data's ID/IG increase.
Application of Photoacoustic Spectroscopy for Glucose Level Measurement: A Literature Review Pratama, Buky Wahyu; Widyaningrum, Rini; Setiawan, Andreas; Mitrayana, Mitrayana
Journal of Multidisciplinary Applied Natural Science Vol. 5 No. 2 (2025): Journal of Multidisciplinary Applied Natural Science
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.260

Abstract

This study addresses the critical need for effective glucose level measurement in managing diabetes mellitus (DM). DM is a serious, economically influential disease that has no cure at present, highlighting the magnitude of prevention, control, and monitoring of blood glucose levels. This study systematically examined 79 articles from Google Scholar and PubMed databases, focusing on non-invasive glucose measurement using the photoacoustic system. After eliminating duplicates, 27 articles were reviewed. Glucose solution was predominantly used as the primary sample. Fixed and tunable lasers, especially near-infrared (NIR) lasers, were highlighted due to their superior penetration and accuracy in glucose measurements. Signal-purification techniques were used to guarantee accurate detection by removing noise. The evaluation involved regression analysis and machine learning integration to determine glucose levels statistically. The choice of sampling sites in volunteers was a critical factor affecting measurement accuracy. The study demonstrated meaningful progress in the development of photoacoustic methods, particularly in monitoring DM.
PERANGKAT ESTIMASI KADAR HBA1C BERBASIS SINYAL PHOTOPLETHYSMOGRAPHY (PPG) Irfani, Muhammad Zakki; Intannia, Wisaini; Azizah, Ni’matul; Pratama, Buky Wahyu
Jurnal Teknologi Informasi Mura Vol 17 No 2 (2025): Jurnal Teknologi Informasi Mura DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v17i2.2859

Abstract

Hemoglobin terglikasi (HbA1c) merupakan indikator utama pengendalian glikemik jangka panjang dan berperan penting dalam deteksi dini serta pemantauan diabetes melitus. Metode pengukuran HbA1c konvensional masih bergantung pada prosedur invasif melalui pengambilan sampel darah yang dapat menimbulkan rasa tidak nyaman, risiko infeksi, serta membutuhkan peralatan laboratorium yang relative mahal. Perkembangan teknologi optik dan kecerdasan buatan membuka peluang untuk mengestimasi kadar HbA1c secara non-invasif dengan memanfaatkan sinyal photoplethysmography (PPG). Penelitian ini merancang sistem akuisisi dan pengolahan sinyal PPG menggunakan rangkaian analog dan digital berbasis ESP32. Pemrosesan meliputi akuisisi sinyal, penguatan sinyal, pemfilteran sinyal, ekstraksi fitur sinyal, dan implementasi algoritma estimasi pada platform mikrokontroler. Sistem juga terintegrasi dengan layanan cloud yang memungkinkan penyimpanan serta visualisasi data secara real-time melalui antarmuka web. Hasil kajian menunjukkan bahwa sinyal PPG memiliki potensi signifikan sebagai indicator non-invasif untuk estimasi HbA1c. Studi terkini melaporkan akurasi prediksi yang kompetitif, sehingga pendekatan ini menjanjikan sebagai pemantauan glikemik yang lebih nyaman, terjangkau, dan berkelanjutan.
PERANGKAT ESTIMASI KADAR HBA1C BERBASIS SINYAL PHOTOPLETHYSMOGRAPHY (PPG) Irfani, Muhammad Zakki; Intannia, Wisaini; Azizah, Ni’matul; Pratama, Buky Wahyu
Jurnal Teknologi Informasi Mura Vol 17 No 2 (2025): Jurnal Teknologi Informasi Mura DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v17i2.2859

Abstract

Hemoglobin terglikasi (HbA1c) merupakan indikator utama pengendalian glikemik jangka panjang dan berperan penting dalam deteksi dini serta pemantauan diabetes melitus. Metode pengukuran HbA1c konvensional masih bergantung pada prosedur invasif melalui pengambilan sampel darah yang dapat menimbulkan rasa tidak nyaman, risiko infeksi, serta membutuhkan peralatan laboratorium yang relative mahal. Perkembangan teknologi optik dan kecerdasan buatan membuka peluang untuk mengestimasi kadar HbA1c secara non-invasif dengan memanfaatkan sinyal photoplethysmography (PPG). Penelitian ini merancang sistem akuisisi dan pengolahan sinyal PPG menggunakan rangkaian analog dan digital berbasis ESP32. Pemrosesan meliputi akuisisi sinyal, penguatan sinyal, pemfilteran sinyal, ekstraksi fitur sinyal, dan implementasi algoritma estimasi pada platform mikrokontroler. Sistem juga terintegrasi dengan layanan cloud yang memungkinkan penyimpanan serta visualisasi data secara real-time melalui antarmuka web. Hasil kajian menunjukkan bahwa sinyal PPG memiliki potensi signifikan sebagai indicator non-invasif untuk estimasi HbA1c. Studi terkini melaporkan akurasi prediksi yang kompetitif, sehingga pendekatan ini menjanjikan sebagai pemantauan glikemik yang lebih nyaman, terjangkau, dan berkelanjutan.
Co-Authors Andreas Setiawan Azizah, Ni’matul Haris Suhendar Iman Santoso Intannia, Wisaini Irfani, Muhammad Zakki Mitrayana - Widyaningrum, Rini Wipsar Sunu Brams Dwandaru