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All Journal Jurnal Riset Kimia Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)
Amir, Firmanul Qadri
Unknown Affiliation
Chemistry Computer Science & IT Decision Sciences, Operations Research & Management

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Struktur dan Sifat Dielektrik Senyawa Aurivillius CaBi3LaTi4O15 yang Disintesis dengan Teknik Hidrotermal Zulhadjri, Zulhadjri; Amir, Firmanul Qadri; Mahmud, Marsal; Septiani, Upita; Arief, Syukri
Jurnal Riset Kimia Vol 11, No 1 (2020): March
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jrk.v11i1.343

Abstract

Synthesis of four-layer Aurivillius CaBi3LaTi4O15 has been successfully carried out by hydrothermal technique using NaOH 4 M as mineralizer. The reaction was carried out at 220 °C for 72 h. Crystal structure, morphology, and dielectric properties were analyzed in this study. X-ray diffraction confirmed that the single-phase product was successfully obtained. The refinement result shows the product has orthorhombic crystal structure with space group A21am. The morphology analyzed using SEM shows plate-like grains are observed, which is characteristic of Aurivillius phase. Dielectric curves show peaks at 585 °C which indicate ferroelectric transition temperature.
Implementasi Naïve Bayes Pada Sistem Klasifikasi Kelayakan Alat Laboratorium Kimia Mulya, Sri; Putri, Yulia Eka; Amir, Firmanul Qadri
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.891

Abstract

The feasibility of laboratory equipment is a crucial factor in ensuring the quality and safety of practical and research activities. At the Faculty of Mathematics and Natural Sciences, Universitas Andalas, the classification of equipment feasibility is still performed manually, leading to inefficiencies and potential assessment errors. This study aims to develop and implement a web-based information system for classifying the feasibility of laboratory equipment using the Naïve Bayes algorithm. The research applies a system development approach following the Waterfall model, starting with requirement analysis, system modeling using Context Diagram, DFD, and ERD, and implementation using PHP and MySQL. The Naïve Bayes algorithm calculates the probability of each feasibility class based on attributes such as procurement year, usage level, damage condition, usage duration, and accessory status. Test results indicate that the system successfully classifies equipment into three categories serviceable, needs repair, and unserviceable with 95% acceptable accuracy. The system generates report-based outputs that support strategic decision-making in equipment maintenance and procurement planning. Thus, this information system is expected to enhance the efficiency and objectivity of laboratory asset management through a data-driven and measurable digital platform.
Co-Authors Ida Ayu Putu Sri Widnyani Mahmud, Marsal Mulya, Sri Upita Septiani Yulia Eka Putri, Yulia Eka Zulhadjri Zulhadjri