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All Journal Jurnal Teknik Mesin ELKHA : Jurnal Teknik Elektro Dinamika Teknik Mesin : Jurnal Keilmuan dan Terapan Teknik Mesin Jurnal Teknik Jurnal Polimesin Jurnal Abdimas Ilmiah Citra Bakti
Martijanti, Martijanti
Universitas Jenderal Achmad Yani
Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics

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Full-factorial optimization and continuous prediction of bamboo fiber tensile strength under chemical-thermal conditions Martijanti Martijanti; Arief Nur Pratomo; Ilhamul Akbar Priyono; Muhammad Daffa Nayaka
Jurnal Polimesin Vol 24, No 4 (2026): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i4.8316

Abstract

The increasing demand for environmentally friendly materials has intensified research on natural fiber composites. Bamboo fiber is a promising reinforcement material because of its high tensile strength, low density, and abundant availability. However, optimizing processing parameters and developing reliable predictive models for bamboo fiber tensile strength remain challenging. Therefore, this study aims to identify optimal processing parameters and develop a continuous predictive model for bamboo fiber tensile strength. A full-factorial design of experiments was employed using four variables: bamboo type, NaOH concentration, immersion time, and immersion temperature. Experimental data were analyzed using the Signal-to-Noise ratio, Analysis of Variance, and General Linear Model to evaluate factor significance and contribution. The results showed that bamboo type and immersion time were the most influential factors affecting tensile strength. The optimum configuration was obtained using rope bamboo treated with 4% NaOH for 2 h at 25 °C. A continuous predictive equation was developed using least-squares regression and showed a statistically significant moderate-to-strong correlation with the experimental run means (r = 0.715, p 0.01). The proposed equation is applicable for interpolation within the tested parameter ranges. The study provides a full-factorial predictive framework for bamboo fiber processing, although independent validation is required before broader application.
PENINGKATAN PEMAHAMAN DAN KEMAMPUAN PRAKTIK CAD SISWA SMA DAN SMK MELALUI PELATIHAN AUTODESK INVENTOR Damawidjaya Biksono; P Y M Wibowo Ndaruhadi; Deny Bayu Saefudin; Besse Titing Karmiati; Martijanti Martijanti; Gagan Ganjar Tabah; Dwi Virgiawan Nugraha; Arjun Prasetyo
Jurnal Abdimas Ilmiah Citra Bakti Vol. 7 No. 3 (2026)
Publisher : STKIP Citra Bakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38048/jailcb.v7i3.7364

Abstract

Transformasi digital di bidang industri membuat penguasaan desain berbantuan komputer semakin penting untuk dikenalkan sejak pendidikan menengah. Namun, kebutuhan siswa SMK dan SMA tidak sepenuhnya sama. Siswa SMK dari program keahlian yang relevan telah mengenal gambar teknik atau CAD sebagai bagian dari kompetensi kurikulum, sedangkan siswa SMA umumnya belum memperoleh praktik CAD secara khusus. Kegiatan pengabdian ini bertujuan memperkuat pengetahuan dan kemampuan praktik CAD siswa SMK sekaligus mengenalkan proses desain digital kepada siswa SMA melalui pelatihan Autodesk Inventor berbasis project-based learning. Kegiatan dilaksanakan pada 31 Januari 2026 di Laboratorium Komputer Fakultas Teknologi Manufaktur Universitas Jenderal Achmad Yani, Cimahi. Pelaksanaan meliputi pretest, demonstrasi, praktik terbimbing, proyek komponen mekanik sederhana, posttest, dan evaluasi kinerja. Rerata nilai siswa SMK meningkat dari 74,38 ± 4,17 menjadi 82,50 ± 4,63, dengan rata-rata peningkatan individual sebesar 11,21%. Rerata nilai siswa SMA meningkat dari 55,00 ± 5,00 menjadi 75,00 ± 5,00, dengan rata-rata peningkatan individual sebesar 36,87%. Siswa SMK menyelesaikan tugas dalam 30-45 menit, sedangkan siswa SMA dalam 60-90 menit. Seluruh peserta memperoleh nilai posttest yang lebih tinggi daripada nilai pretest. Pelatihan ini memperkuat kompetensi yang telah dikenal siswa SMK dan memberikan pengalaman awal CAD yang bermakna bagi siswa SMA. Perbedaan capaian dan waktu pengerjaan menunjukkan bahwa materi dan pendampingan perlu disesuaikan dengan latar belakang peserta., dan mendukung peningkatan nilai tambah UMKM.
IoT-Integrated PLC-SCADA Architecture for Energy Optimization in Material Processing Zainal, Yuda Bakti; Martijanti, Martijanti
ELKHA Vol. 18 No.1 April 2026
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v18i1.96402

Abstract

Despite the extensive studies on industrial automation and energy monitoring, most existing works focus on either PLC–SCADA automation or IoT-based monitoring separately. Only limited studies have experimentally integrated IoT, PLC, and SCADA into a unified architecture specifically for real-time energy optimization in material processing systems. The novelty of this research lies in three main contributions. First, this study proposes an integrated IoT–PLC–SCADA architecture specifically designed for adaptive energy management in material processing systems. Second, the proposed system implements real-time energy monitoring combined with adaptive PLC control logic to dynamically adjust process operation based on real-time sensor data. The results showed that the system succeeded in reducing average energy consumption by 12.2%, increasing process time efficiency by 9%, and recording a system uptime of 97.3%. The statistical test yielded a p-value of 0.0012, indicating that the energy reduction was statistically significant. In addition, the system proved to be accurate and reliable with sensor measurement deviations below 5%. Third, the proposed framework is experimentally validated through a quantitative pretest–posttest approach combined with statistical hypothesis testing to verify the significance of energy efficiency improvements. Therefore, this study contributes both technically and experimentally by providing a validated implementation model of intelligent industrial energy optimization based on IoT-integrated PLC–SCADA architecture.
Co-Authors Arief Nur Pratomo Arjun Prasetyo Bambang Santosa Besse Titing Karmiati Damawidjaya Biksono Dwi Virgiawan Nugraha Gagan Ganjar Tabah Heni Pujiastuti Ilhamul Akbar Priyono Iskandar Muda Kiki Fadlurahman M.B. Wahyu Muhammad Daffa Nayaka P Y M Wibowo Ndaruhadi Pradoto Ambardi R. Sukwadi S. SUTARNO S. Sutarno, S. Saefudin, Deny Bayu Sukwadi, R. Syahminan Wahyu, M.B. Zainal, Yuda Bakti