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Fault Prognosis System on Face-Mask Body Machine with Adabelief-Backpropagation Neural Network Rosmaliati Rosmaliati; Imam Wahyudi Farid; Dzulfikar Ats Tsauri
Jurnal Jaringan Telekomunikasi Vol 13 No 2 (2023): Vol. 13 No. 02 (2023) : June 2023
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v13i2.747

Abstract

Ultrasonic welding workload on vertical roller welding components on face-mask body machine in making masks has a highvibration of up to 20kHz. This high vibration causes the locking bolt to loosen the serrations, thus causing a greater failure of function, such as wear and tear on the teeth. If this function fails, it will cause downtime and high costs in the waiting process for the cleat component to be remanufactured. The damage prognosis system based on the condition of this machine implements a Classification of types of damage along with recommendations for maintenance activities that need to be carried out on the Face-Mask Body Machine. Classification of the type of damage to this system using There is a Belief-Backpropagation Neural Network (BPNN), a method for looking for weight settings on a neural network based on the error rate obtained in the previous iteration. This method is optimized using AdaBelief, which can adapt the step size based on the "confidence" of the previous gradient to get Convergence rates and generalization abilities better so that these types of problems can be known from the vibration signal of the machine which previously the signal was parsed using wavelet packet decomposition into frequency bands to obtain component data with low or high frequency. From the results of system performance testing, the modeling accuracy is 98.4%, so this system can be declared good and feasible to use in slack detection of vertical roller welding cleat fixing bolts.
Pemanfaatan Greenhouse sebagai Wahana Edukasi di Desa Kebontunggul Kecamatan Gondang Kabupaten Mojokerto Tutik Nurhidayati; Maya Shovitri; Nengah Dwianita Kuswytasari; Enny Zulaika; Nur Hidayatul Alami; Arif Luqman; Dini Ermavitalini; Kristanti Indah Purwani; Wirdatul Muslihatin; Imam Wahyudi Farid; Ciptian Weried Priananda; Sri Fatmawati
Sewagati Vol 7 No 6 (2023)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v7i6.515

Abstract

Salah satu desa yang memiliki potensi untuk dikembangkan sebagai desa wisata adalah desa Kebontunggul Kecamatan Gondang Kabupaten Mojokerto. Desa tersebut memiliki banyak potensi desa wisata yang strategis. Disisi lain ada keinginan untuk melakukan kegiatan pertanian berbasis teknologi dalam skala greenhouse untuk mendukung usaha wisata di Desa Kebontunggul. Adanya potensi dan keingginan untuk maju tersebut maka langkah pertama yang dilakukan dalam pengabdian masyarakat adalah pembuatan greenhouse sebagai sarana untuk pengembangan teknologi IoT. Selain itu adanya greenhouse di desa menjadi salah satu pengembangan desa dengan ikon terbaru berupa wisata edukasi. Hasil survei kebermanfaatan greenhouse menunjukkan bahwa greenhouse bermanfaat bagi masyarakat Kebontunggul untuk wahana wisata yang menarik banyak wisatawan.