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All Journal Chemistry Indonesian Journal of Chemical Research Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Ginting, Riski Titian
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Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Mechanical Engineering

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Carbon Dots Synthesis from Soybean with Urea Doped As Sensitive Fe(II) Ion Detection Barus, Diana Alemin; Ginting, Riski Titian; Faizah, Anindya Chandra; Shafira, Rifa Dwi; Nainggolan, Kevin
Indonesian Journal of Chemical Research Vol 10 No 3 (2023): Edition for January 2023
Publisher : Jurusan Kimia, Fakultas Sains dan Teknologi, Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598//ijcr.2023.10-bar

Abstract

Synthesis of carbon dots from soybeans with urea doped (N-CDs) has been successfully conducted using the bottom-up approach via the hydrothermal method. The N-CDs showed a dark brown solution, indicating the carbon dots formed. This study analyzed the effect of optical properties before and after Fe (II) ions addition on the sensitivity of N-CDs. N-CDs characterizations were analyzed using UV-Vis Spectrophotometer and Photoluminescence Spectroscopy (PL). The results showed that the absorbance spectrum range is from 200 to 600 nm, with its absorbance peak at 290 nm. The band gap energy obtained is 3.32 eV, which indicates that N-CDs are semiconductors. The N-CDs solution resulted in good fluorescence when observed under ultraviolet light (395 nm) and emitted a bright green color. N-CDs' sensitivity when sensing Fe (II) ions with a minimum Limit of Detection (LOD) is as low as 5.7 nM. Thus, N-CDs can be used as biosensors with an easy and environmentally friendly method.
SHORT-TERM FORECAST FOR THE GROWTH OF INDONESIA'S NEW RENEWABLE ENERGY USING THE ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM Ginting, Riski Titian; Tri Nugraha, Yoga; Perangin-Angin, Despaleri; Gultom, Togar Timoteus; Nainggolan, Winner Parluhutan; Sitanggang, Delima
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 6 No. 2 (2023): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i2.3477

Abstract

Electric power plants always use fossil fuels such as coal, oil, etc. However, the fossil fuel supply in Indonesia is decreasing from year to year. This causes power plants to be powered by using fuels that will not run out, such as solar Energy, water, wind, and others. Solar Energy, water, wind, and others are Alternative Energy or can also be called New and Renewable Energy. To guarantee a power plant powered by alternative Energy, it must be analyzed regarding the growth of new and renewable Energy. The method used in analyzing the development of new and renewable Energy is the Adaptive Neuro Fuzzy Inference System Method. MW or 0.599%. This result has increased yearly in Indonesia's new and renewable energy growth.
Pelatihan Internet Of Things (IoT) Untuk Meningkatkan Kompetensi Digital Siswa Di Smk Negeri Jorlang Hataran Perangin Angin, Despaleri; Gultom, Togar Timoteus; Sitanggang, Delima; Yennimar, Yennimar; Prabowo, Agung; Siregar, Saut Dohot; Ridwan, Achmad; Ginting, Riski Titian; HS, Christnatalis; Manday, Dhanny Rukmana
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol. 7 No. 1 (2025): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Politeknik Negeri Batam

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Abstract

The purpose of this community service activity is to enhance digital competency skills at SMK Negeri I Jorlang Hataran. The method used in the implementation of this activity is training through the delivery of materials, practical training on the assembly and programming of IoT devices, and a question-and-answer session. The participants of this activity consist of 37 students from the 11th grade RPL (Software Engineering) major. The instruments used in this activity include participant feedback and activity documentation. The results of the implementation show that the participants' responses to the basic computer training were overall in the good category. The percentage of student responses reached 98.20%, which falls into the very good category.
Co-Authors Achmad Ridwan, Achmad Agung Prabowo Delima Sitanggang, Delima Diana Alemin Barus, Diana Alemin Faizah, Anindya Chandra HS, Christnatalis Manday, Dhanny Rukmana Nainggolan, Kevin Nainggolan, Winner Parluhutan Perangin Angin, Despaleri Perangin-angin, Despaleri Shafira, Rifa Dwi Siregar, Saut Dohot Togar Timoteus Gultom Yennimar, Yennimar Yoga Tri Nugraha