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PELATIHAN RANCANG BANGUN ROKET AIR KEPADA SISWA SMAN 8 MALANG Sari, Tria Puspa; Issafira, Radissa Dzaky; Saputro, Wiliandi; Faizin, Ahmad Khairul; Hasan, Nailul
abdimesin Vol. 3 No. 1 (2023): Abdi-mesin
Publisher : UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/abdimesin.v3i1.46

Abstract

Roket air merupakan implementasi dari ilmu fisika, fluida, dan mekanikayang meanrik untuk dibahas. Pada dasarnya roket air memiliki variabel-variabel fisikayang kompleks pada gerak roket tersebut, namun dapat dideskripsikan dan diterapkansecara sederhana untuk mengispirasi siswa-siswa dalam mempelajari ilmu fisika danterapannya. Mitra yang terlibat di pengabdian kepada masyarakat ini adalah SMAN 8Malang dimana siswa-siswi yang tertarik di bidang saintek merupakan sasaran darikegiatan ini. Siswa-siswi sebagai peserta pelatihan rancang bangun roket air danmelakukan eksperimen lapangan setelah mendapatkan materi sosialisasi dari TimPengusul. Tujuan mendasar pada khalayak sasaran adalah mengajarkan kepada sasarandalam menerapkan ilmu Fisika dan Mekanikal pada kegiatan rancang bangun roket airyang menyenangkan. Sehingga dapat mengenalkan cara rancang bangun roket air secarasederhana dan mudah dipahami khususnya untuk siswa sekolah menengah. Sasarankegiatan ini adalah siswa-siswi SMAN 8 Malang yang tertarik di bidang saintek dimananantinya secara tidak langsung juga akan mengenalkan ilmu Teknik Mesin melaluiproses pelatihan dan eksperimen lapangan yang menarik. Selain itu tercipatanya sebuahmetode pembelajaran yang aktif dan menarik yang dapat terpublikasi merupakan sebuahtarget dari kegiatan ini. Harapannya kegiatan pelatihan rancang bangun di SMAN 8Malang ini juga mampu meningkatkan ketercapaian Indikator Kinerja Utama (IKU)perguruan tinggi, terutama pada IKU 2 dan IKU 5.
Studi Eksperimental Karakteristik Redaman Getaran pada Axial Fan dengan Variasi Komposisi Rubber Faizin, Ahmad Khairul; Putero, Gladion Alim; Hasan, Nailul
Creative Research in Engineering (CERIE) Vol. 5 No. 1 (2025): Creative Research in Engineering (CERIE)
Publisher : Lembaga Publikasi Ilmiah dan Penerbitan (LPIP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/cerie.v5i1.26141

Abstract

Penelitian ini bertujuan untuk mengevaluasi karakteristik redaman getaran pada axial fan menggunakan tiga komposisi karet (A, B, dan C) sebagai material peredam. Pengujian dilakukan pada kecepatan konstan 2000 RPM dengan pendekatan eksperimental, menggunakan metode half band power untuk mengukur rasio redaman (ζ). Data getaran diambil dengan akselerometer, dianalisis melalui transformasi Fourier, dan dibandingkan berdasarkan komposisi karet yang berbeda (RTV M4503, RTV 683, dan RTV 48 dengan variasi katalis dan filler). Hasil menunjukkan karet A memiliki rasio redaman tertinggi (ζ = 0,012) dan reduksi amplitudo getaran sebesar 73%, diikuti karet B (ζ = 0,009, reduksi 60%) dan karet C (ζ = 0,007, reduksi 44%). Karet A terbukti paling efektif karena sifat viskoelastiknya yang optimal, menjadikannya pilihan terbaik untuk aplikasi axial fan pada kondisi serupa.
TensorFlow Based AI Training for Translating Indonesian Sign Language (BISINDO) Sujiwa, Akbar; Hasan, Nailul; Aruan, Nenni Mona
BEST Vol 7 No 1 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol7.no1.10312

Abstract

Communication is an important aspect of social life, including for deaf people who rely on sign language as their primary means of interaction. However, the limited understanding of sign language in society, especially BISINDO (Bahasa Isyarat Indonesia), is often a barrier to effective communication. This study aims to develop a simple sign language translator system using TensorFlow and Keras-based machine learning technology, as well as image processing support from OpenCV. The system is trained to recognize six basic signs in BISINDO, namely “Halo”, “Nama”, “Saya, “A”, “D”, and “I”, using hand images as training data. Each word is represented by 20 images with variations in horizontal position. The test results show that the system is able to recognize signs with fairly good accuracy under certain conditions, but still has difficulty when faced with variations in hand positions that are different from the training data. This study shows the potential of sign language recognition technology in supporting inclusive communication, as well as the importance of data enrichment and variation in viewpoints in the model training process so that the system can function more optimally in various real conditions.
Comparison of Stress and Deformation Distribution in Steel and Cobalt Chromium Materials for Femoral Bone Implants using Computational Biomechanics Analysis hardiantati, hamizatul; Wulan, Widya Rachma; Timur, Fajar; Hasan, Nailul; Fauziyah, Nur Aini
Faraday: Journal of Fundamental Physics, Research, and Applied Science Vol. 1 No. 1 (2025): Faraday: Journal of Fundamental Physics, Research, and Applied Science
Publisher : Universitas Pembangunan Nasional "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/faraday.v1i1.3

Abstract

This study analyzes the mechanical performance of femoral bone implants using two types of materials, namely Alloys and Cobalt Chromium Alloys, as well as two variations in implant length (72 mm and 24 mm, and 80 mm and 20 mm). Simulation was conducted using the Finite Element Method (FEM) to evaluate mechanical parameters, such as directional deformation, equivalent stress, maximum principal stress, and minimum principal elastic strain. The analysis results show that the Cobalt Chromium Alloys material has smaller deformation compared to the Alloys, indicating better stiffness and load-bearing capacity. However, the maximum principal stress value is higher in Cobalt Chromium Alloys, indicating a greater risk of stress concentration. Meanwhile, a longer implant length shows a more even stress distribution compared to a shorter length. This study provides important insights into the influence of material and implant length on its mechanical performance, and can serve as a basis for designing optimal implants for specific medical needs
Effectiveness of Science (Physics) Teacher Training Program on Conceptual Understanding at MTs Manado Hasan, Nailul; Aruan, Nenni Mona; Fauzyah, Nur Aini
Faraday: Journal of Fundamental Physics, Research, and Applied Science Vol. 1 No. 1 (2025): Faraday: Journal of Fundamental Physics, Research, and Applied Science
Publisher : Universitas Pembangunan Nasional "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/faraday.v1i1.5

Abstract

This study aims to evaluate the effectiveness of the physics science teacher training program in improving the understanding of physics concepts at one of the Madrasah Tsanawiyah (MTs) in Manado. Using pre-test and post-test data from 52 teachers, the Wilcoxon Signed-Rank Test was analyzed. The results showed significant improvement in trainees' understanding of physics concepts, with a p-value of 0.0004 and a large effect size (r = 0.60). These findings provide empirical evidence that the training is effective in improving teachers' conceptual understanding and can be used as a basis for developing similar programs in other regions.
Comparative Analysis of CCS811 Sensor Usage in Wearable Studies for Cigarette Smoke Detection: Literature Review Maniani, Billy; Sujiwa, Akbar; Wardhani, Primasari Cahya; Hasan, Nailul; Timur, Fajar
Faraday: Journal of Fundamental Physics, Research, and Applied Science Vol. 1 No. 2 (2025): Faraday: Journal of Fundamental Physics, Research, and Applied Science
Publisher : Universitas Pembangunan Nasional "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/faraday.v1i2.16

Abstract

The CCS811 sensor is a metal oxide semiconductor (MOX)-based gas sensor that is widely used in wearable systems to monitor air quality personally, especially in detecting volatile organic compounds (VOCs) contained in cigarette smoke. This study aims to conduct a systematic review of various studies that implement the CCS811 sensor in wearable devices for cigarette smoke detection, focusing on aspects of accuracy, sensitivity, detection time, and the effect of room size. The method used is a systematic literature review of 19 scientific articles published in the last ten years. The results of the review show that the CCS811 has several advantages, such as low power consumption, compact sensor size, real-time VOC detection capability, and easy integration with the Internet of Things (IoT) system. Quantitatively, this sensor is able to detect TVOC concentrations in the range of 20–1158 ppb, with a response time of less than 20 seconds in a small space. However, limitations are still found in terms of selectivity to certain types of compounds and the lack of studies evaluating the effect of room characteristics on detection performance. This study recommends further testing in various real-world conditions as well as the application of machine learning algorithms to improve the accuracy and adaptability of the CCS811-based wearable system in effectively detecting cigarette smoke.