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All Journal Jurnal Bahan Alam Terbarukan Semesta Teknika Jurnal Teknologi Agroindustri JURNAL SELULOSA FLUIDA JURNAL VOKASI TEKNOLOGI INDUSTRI (JVTI) Majalah Tegi Jurnal Inovasi Pendidikan dan Sains
Edwin K Sijabat
Teknologi Pengolahan Pulp Dan Kertas - Institut Teknologi Sains Bandung
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Physics Social Sciences

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Mechanical and Physical Properties of Cement Mortar with Recausticizing Solid Byproduct Sijabat, Edwin Kristianto; Harmaji, Andrie; Hendriansyah, Hendriansyah
Semesta Teknika Vol. 27 No. 2 (2024): NOVEMBER
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.v27i2.15429

Abstract

The Kraft process is a method used to make paper pulp. This method produces cooking residue that can be recycled again. The recausticizing process produces large amounts of by-products.This research utilizes solid waste from causticizing from the pulp industry as a partial substitute for Portland cement for mortar raw material to obtain a material with good mechanical properties. The solid waste was pulverized, then characterization of Loss on Ignition (LOI), Inductively Coupled Plasma (ICP), Titration, and Total Titrable Alkali was carried out. The percentage of solid waste resulting from recausticizing as a substitute for cement is 0-100%, with a water-cement ratio (w/c) of 0.3. The mixed material is then printed into a 50x50x50mm mold followed by drying using the moist curing method. The hardened samples were tested for Density, Porosity, Water Absorption, and Compressive Strength. Mortar with partial cement replacement with 20-100% solid waste recousticizing produces a compressive strength of 1.3-22.6 MPa. The resulting water absorption ranges from 14.59-31.35%.
Predicting Citation Dynamics and Mapping Research Trends in Nanocellulose: A Bibliometric and Machine Learning Approach (2021–2025) Sijabat, Edwin Kristianto; Arifin, Samsul
JURNAL INOVASI PENDIDIKAN DAN SAINS Vol 6 No 3 (2025): December
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Nahdlatul Wathan Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51673/jips.v6i3.2709

Abstract

This study aims to map research trends and predict citation dynamics in nanocellulose research within the materials science domain during 2021–2025. A quantitative bibliometric approach was employed using metadata retrieved from the Scopus database, followed by network visualization with VOSviewer and advanced data analysis using Python and machine learning techniques. A total of 2,971 publications were analyzed to identify publication patterns, collaboration networks, thematic evolution, and citation behavior. The results show that China dominates publication output and funding, while key journals and authors form highly interconnected citation networks. Topic modeling reveals emerging research fronts in biomedical hydrogels, nanocomposite films, and sustainable processing. Citation prediction using regression-based machine learning achieved moderate performance (R² = 0.23), indicating potential for early impact estimation. This study concludes that integrating bibliometrics with machine learning provides a comprehensive and predictive perspective on the evolving landscape of nanocellulose research and can support strategic research planning and policy decisions
Co-Authors Ajeng Nimatul Hidayah Andrie Harmaji Basuki Tri Prijadi Harmaji, Andrie Hendriansyah, Hendriansyah Iqbal Novanka Ristiawan Marjanu Priambodo Muhammad Ridho Rafida Khoirani Samsul Arifin Sriwedari, Daisy A Surya Adelia Sakti Tetania Ade Putri Tri Prijadi Basuki