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All Journal Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Ilmiah Berkala: Sains dan Terapan Kimia
Trianita, Andhini Putri
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Chemical Engineering, Chemistry & Bioengineering Chemistry Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Performance Evaluation of Bentonite–Nano SiO₂ as an Adsorbent in the Decolorization Process of Rhodamine B Jayanti, Regna Tri; Khairati, Miftahul; Nurmalasari, Enny; Rahayu, Puji; Nury, Dennis Farina; Ulandari, Okti; Trianita, Andhini Putri
Jurnal Sains dan Terapan Kimia Vol 20, No 1 (2026)
Publisher : Program Studi Kimia, Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jstk.v20i1.24444

Abstract

Among various sources of industrial water pollution, effluents from printing, dyeing, and textile processes represent one of the most significant environmental threats. These wastewaters contain numerous toxic and hazardous substances that are difficult to biodegrade. This study investigates the synthesis, characterization, and adsorption performance of a Bentonite–Nano SiO₂ composite for the removal of Rhodamine B dye from aqueous solutions. The research was conducted in two main stages: the preparation of the Bentonite–Nano SiO₂ composite and the evaluation of its adsorption performance at various adsorbent concentrations and contact times. The composite was synthesized by dispersing nano-silica (15% w/w) into bentonite using ethanol as the solvent, followed by stirring, filtration, and drying processes. Characterization using Scanning Electron Microscopy (SEM) and Fourier Transform Infrared Spectroscopy (FTIR) confirmed successful modification. Adsorption tests showed that Rhodamine B removal efficiency increased with higher adsorbent concentration, reaching optimal conditions at 0.75% (w/v) with a removal efficiency of 90.2% after a contact time of 10–15 minutes. The enhanced adsorption performance was attributed to the larger surface area, higher porosity, and increased number of active sites resulting from the incorporation of nano-silica
The Use of Artificial Intelligence (AI) in Food Logistics Systems to Support Global Halal Certification: A Systematic Literature Review Trianita, Andhini Putri; Nurmalasari, Enny
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 2 (2026): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i2.56896

Abstract

The development of Artificial Intelligence (AI) has reshaped global food logistics systems, particularly in strengthening halal certification integrity through enhanced transparency, operational efficiency, and traceability. The increasing global demand for halal products requires supply chains capable of ensuring end-to-end Sharia compliance. This review synthesizes findings from 20 international studies on the application of AI in halal food logistics using a Systematic Literature Review (SLR) method, with data collected from reputable journals, conference proceedings, and scientific repositories. The results indicate that integrating AI with technologies such as blockchain, the Internet of Things (IoT), and machine learning improves real-time supply chain monitoring, contamination risk prediction, and certification process automation. However, key challenges remain, including technological readiness, cross-border regulatory alignment, data security, and stakeholder integration. This study proposes a conceptual framework for AI implementation in global halal logistics and highlights future research directions to support sustainable and reliable halal supply chain systems.
Co-Authors Dennis Farina Nury Enny Nurmalasari Jayanti, Regna Tri Khairati, Miftahul Puji Rahayu Ulandari, Okti