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Green Concrete: Residu Pembakaran Sampah Plastik Dan Tekstil Sebagai Pengganti Sebagian Agregat Halus pada Campuran Beton Suryan, Viktor; Septiani, Virma; Nurfitri, Meta Amalia; Amalia, Direstu; Silitonga, Evandri; Chandra, Putu Wisnu Ardia; Febriansyah, Adha
Jurnal Talenta Sipil Vol 7, No 1 (2024): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/talentasipil.v7i1.348

Abstract

Infrastructures are increasing as the population grows. The demand for building materials from the construction industry is also improving. Building materials like fine aggregates come from nature, such as sand. This research aims to partially replace natural fine aggregates in concrete mixes using plastic waste combustion residues. This research uses an experimental method with a quantitative approach. The test specimens used in this study were 24 pieces with a replacement percentage of 0, 5, 10, and 20% residue. The results of this study show that the average concrete strength for replacement of 0, 5, 10, and 20% is 23.77; 23.15; 19.47; 17.77 Mpa. At 5% replacement of fine aggregate, the percentage of concrete strength reached 97.4% of normal concretes. It can be concluded that concrete strength affects the partial replacement of fine aggregates with residues from the combustion of plastic and textile waste.
Development of Airfield Lighting System Digital Learning Media: An Application Usability Testing Amalia, Direstu; Soleh, Asep Muhamad; Febriansyah, Adha; Rizko, Rio; Salbiah, Siti; Suryan, Viktor; Septiani, Virma
JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan) Vol. 9 No. 1 (2024): JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan)
Publisher : Graduate Program Magister Manajemen Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/jmksp.v9i1.13571

Abstract

This study aims to evaluate the usefulness of a game-based learning tool called the airfield lighting system that uses both VR and AR technology in the classroom. The quantitative research method uses a survey to gather data and test the application in two classes. The application’s usability is represented by data analysis that uses the User Experience Questionnaire (UEQ) model to quantify two aspects: hedonic and pragmatic quality. The study’s findings display the means of the positive value scales, indicating that the pragmatic quality score was 2.538 and the hedonic quality score was 2.548. In addition, To gain a more comprehensive understanding of a product’s quality, we also assess the product’s measured user experience by contrasting it with the outcomes of other well-known products. The results are interpreted within the 10 percent best results range, indicating “excellent” for five instruments and “above average” for novelty instruments. The result presents six instruments of usability level: efficiency, perspicuity, dependability, stimulation, and novelty. This usability test suggests using the airfield lighting system application as the learning medium for student-centered learning.
Human Following Robot Berbasis IoT untuk Otomatisasi Troli: Meningkatkan Pembelajaran dalam Mata Kuliah Airport Automation Sunardi, Sunardi; Fazal, Muhammad Rafli; Febriansyah, Adha; Soleh, Asep Muhamad; Parjan, Parjan; Prayitno, Hadi
Jurnal Konseling dan Pendidikan Vol. 12 No. 4 (2024): JKP
Publisher : Indonesian Institute for Counseling, Education and Therapy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/1120800

Abstract

Pengelolaan troli bandara menghadirkan tantangan seperti pencurian, kerusakan, perawatan, kebersihan, dan keterbatasan mobilitas bagi pengguna. Troli Pengikut Manusia menawarkan solusi otonom untuk transportasi barang penumpang. Dengan menggunakan model R&D Borg & Gall, troli ini beroperasi melalui gerakan tangan yang terdeteksi oleh sarung tangan dengan sensor gyroscope. Mikrokontroler ESP-32 mengaktifkan troli melalui internet, sementara Arduino Mega memproses data untuk mengontrol gerakan melalui motor DC. Troli ini dapat bergerak ke berbagai arah, mendukung beban hingga 7,9 kg, dengan jangkauan deteksi 20 cm dan jangkauan respons hingga 30 meter. Proyek ini terintegrasi ke dalam kurikulum Otomasi Bandara program Teknologi Rekayasa Bandar Udara (TRBU), yang memperkaya pembelajaran dalam bidang otomasi bandara, IoT, dan robotika. Pengembangan dilakukan dengan mengikuti 8 dari 10 tahap Borg & Gall, yang meningkatkan pembelajaran secara sistematis. Hasil pengujian menunjukkan bahwa troli ini mampu mempertahankan stabilitas dengan menyesuaikan sudut kemiringan terhadap kecepatan: inklinasi pitch naik 5° untuk setiap peningkatan 0,8–1,0 m/s, mencapai 90° pada kecepatan 15,0 m/s, sementara roll meningkat 2,5° per 0,8–1,0 m/s, mencapai 45°. Troli ini telah diverifikasi di Bandara Sultan Mahmud Badarrudin II, memberikan pelatihan yang berharga bagi para taruna di Politeknik Penerbangan Palembang.