Article Per Year (5 Year)
p-Index From 2021 - 2026
1.784
P-Index
This Author published in this journals
All Journal Biota: Jurnal Ilmiah Ilmu-Ilmu Hayati RATIO: Reviu Akuntansi Kontemporer Indonesia Jurnal Abdi Masyarakat Saburai (JAMS) Jurnal Sistem Informasi Universitas Dinamika Jurnal Pemberdayaan Masyarakat Indonesia (JPMI) Audi Et AP : Jurnal Penelitian Hukum Jurnal Media Pengabdian Kepada Masyarakat (JM-PKM) Environmental and Materials Relinesia: Jurnal Kajian Agama dan Multikulturalisme Indonesia Journal of Mechanical Engineering and Applied Technology
Rachman, Fathur
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Physics Social Sciences

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Copper foam modified electrodes for CO₂ electroreduction: A study on deposition potential effect and flow cell performance Riyanto, Hanzhola Gusman; Pasaribu, Lewita; Rachman, Fathur; Magdalena, Octaviany; Sanjaya, Afiten Rahmin
Environmental and Materials Vol. 3 No. 2: (December) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/eam.v3i2.2025.2649

Abstract

Background: The development of effective electrochemical conversion technologies is imperative due to the rising global CO2 emissions. A promising platform for CO2 reduction to formate is copper electrode, which can stabilize the carbon dioxide radical that is essential for CO2 conversion. Methods: In this work, Cu foam was electrodeposited in situ on a copper plate with sodium citrate acting as a capping agent (CuF@Cu), with variation of potential deposition were 3V and 5V. Findings: The foam structure of Cu in Cu electrode was confirmed with SEM and XRD measurements for both potential deposition variations. Furthermore, CO2 electroreduction was carried out in a flow cell under ideal conditions, which included aeration for 20 minutes, a flow rate of 75 mL min⁻¹, and an applied potential of −0.33 V vs. Ag/AgCl. For formic acid conversion, the Faradaic efficiency rose from 14.18% (Cu bare) to 26.73% (CuF@Cu 3V) which an 88.7% improvement over bare copper. Conclusion: The enhanced performance is attributed to the increased surface area and three-dimensional foam structure, which augments active sites for CO₂ activation. This work demonstrates that simple electrodeposition of copper foam is an effective strategy for improving electrochemical CO₂ reduction efficiency. Novelty/Originality of this article: These findings demonstrate that CuF@Cu makes using this straightforward electrodeposition technique a viable option for CO2 to formate conversion.
SDGS Accountability and Risk Analytics (SARA): Model Dashboard Digital Berbasis Machine Learning Untuk Penguatan Akuntabilitas Pembiayaan Tujuan Pembangunan Berkelanjutan Rachman, Fathur
Ratio : Reviu Akuntansi Kontemporer Indonesia Vol. 6 No. 2 (2025): Reviu Akuntansi Kontemporer Indonesia
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/ratio.v6i2.30094

Abstract

Pendanaan Tujuan Pembangunan Berkelanjutan (SDGs) menghadapi tantangan akuntabilitas yang semakin kompleks seiring dengan meningkatnya pengeluaran publik dan keterbatasan sistem pemantauan pasca-realisasi. Situasi ini menciptakan risiko inefisiensi dan penyimpangan anggaran yang dapat menghambat pencapaian tujuan pembangunan. Studi ini bertujuan untuk merancang model dashboard SARA (SDGs Accountability and Risk Analytics) sebagai instrumen pendukung untuk memperkuat akuntabilitas dalam pendanaan pembangunan. Studi ini menggunakan pendekatan konseptual dan analisis kebijakan, dengan memanfaatkan data realisasi anggaran dan pengeluaran sebagai dasar untuk penilaian risiko dan deteksi anomali berbasis machine learning. Dashboard SARA menyajikan alur kerja pemantauan berbasis risiko melalui sistem peringatan dini dan dukungan pengambilan keputusan bagi pejabat pengawas dan pembuat kebijakan. Model yang diusulkan memposisikan machine learning sebagai alat analisis yang berpotensi mendukung pergeseran pengawasan dari pendekatan reaktif menuju preventif, dengan tetap menjaga peran kelembagaan dalam pengambilan keputusan. Model ini diharapkan dapat meningkatkan efektivitas pengawasan, memperkuat kepercayaan publik, dan mendukung tata kelola pendanaan tujuan pembangunan berkelanjutan yang lebih akuntabel.
QTL Analysis in Sorghum (Sorghum bicolor L. Moench): A Review Dinanty, Fawwaz; Rachman, Fathur
Biota : Jurnal Ilmiah Ilmu-Ilmu Hayati Vol 11, No 1 (2026): February 2026
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/biota.v11i1.10928

Abstract

Sorghum is a Gramineae crop with two sets of chromosomes (2n = 2x = 20). Sorghum has a euchromatin and heterochromatin size of about 252 Mbp and 460 Mbp, respectively. QTL analysis determines the region in the genome that controls a quantitative character phenotype. The methods of analysis include SMA, SIM, CIM, and MQM. Genotyping generally uses molecular markers with a high polymorphism, such as RFLP, AFLP, SSR, SNP, and DArT. QTL analysis has been conducted on sorghum crops for various purposes and traits. The analyzed agronomic traits were plant height, days to flowering, 1000 grain weight, and seed length. The grain quality, including mineral content (Fe and Zn), starch, fat, fibre, protein, and carotenoid content, can be analyzed. Disease resistance that can be analyzed is resistance to leaf spot and anthracnose. Several QTLs were co-localized between traits and between populations. The data that has been obtained can be used for the preparation of the QTL consensus.
Co-Authors Agrily, Muhammad Ziyan Aryani, Gustina Dinanty, Fawwaz Diwirya, Irwan Jaya Eldawati, Elti Fransiska, Yesi Go, Calvin Gunawan, Tedi Hanzhola Gusman Riyanto Haryati, Dina Ino Susanti Januri, Januri Kamila, Ihdia Uswah Karmuz, Karmuz M. Imamul Muttaqin M. Lutfi Maulana, Yoppy Nurlelawati, Nurlelawati Nurwidodo, Arif Octaviany Magdalena Pasaribu, Lewita Purwanti, Yuli Putri, Farika Tono Reinardus Adhiputra Suryandaru Rendy Renaldy Rohmadi Rohmadi Saliman, Karen Sandi, Fona Azhara Sanjaya, Afiten Rahmin Satrya Surya Pratama Soetomo, Erwin Surya Pratama, Satrya Timotius Anggit Kristiawan Widodo, Dwi Yulian Yuditama, Avifa Putri