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All Journal Jurnal Teknik Industri J@TI (TEKNIK INDUSTRI) Jurnal Ilmiah Teknik Industri PERFORMA : Media Ilmiah Teknik Industri Makara Journal of Technology Jurnal Pengabdian Masyarakat dan aplikasi Teknologi International Journal of Science, Technology and Applications
Wakhid Ahmad Jauhari
Jurusan Teknik Industri, Fakultas Teknik, Universitas Sebelas Maret
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Other

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MODEL PEMILIHAN PROSES UNTUK MEMINIMALKAN BIAYA MANUFAKTUR, KERUGIAN KUALITAS, DAN KETERLAMBATAN PENGIRIMAN Fatmawati, Ani; Rosyidi, Cucuk Nur; Jauhari, Wakhid Ahmad
Jurnal Teknik Industri Vol 13, No 2 (2012): Agustus
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (228.21 KB) | DOI: 10.22219/JTIUMM.Vol13.No2.109-115

Abstract

There are three aspects of competitive strategy that can be applied by manufacturing companies: quality, cost, anddelivery time. Actually, it is hard to produce high quality poducts in low manufacturing cost and on time delivery. Hence, a process selection is needed to integrated the three aspects above in order to meet a customer requirement. This research develops a process selection model to minimize manufacturing cost, quality loss cost, and lateness cost considering component spesification, delivery time, production capacity, and customer order. A numerical example is given to show the application of the model using an assembly product that consists of three components. Three machines are used to produce all of the components. Each machine has different characteristic in manufacturing cost, tolerances, and processing time. Total cost that used to produce 100 unit assembly product is Rp5.390.970,00.
Model Pemilihan Proses untuk Meminimalkan Biaya Manufaktur, Kerugian Kualitas, dan Keterlambatan Pengiriman Ani Fatmawati; Cucuk Nur Rosyidi; Wakhid Ahmad Jauhari
Jurnal Teknik Industri Vol. 13 No. 2 (2012): Agustus
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol13.No2.109-115

Abstract

There are three aspects of competitive strategy that can be applied by manufacturing companies: quality, cost, anddelivery time. Actually, it is hard to produce high quality poducts in low manufacturing cost and on time delivery. Hence, a process selection is needed to integrated the three aspects above in order to meet a customer requirement. This research develops a process selection model to minimize manufacturing cost, quality loss cost, and lateness cost considering component spesification, delivery time, production capacity, and customer order. A numerical example is given to show the application of the model using an assembly product that consists of three components. Three machines are used to produce all of the components. Each machine has different characteristic in manufacturing cost, tolerances, and processing time. Total cost that used to produce 100 unit assembly product is Rp5.390.970,00.
Make or Buy Analysis Model Based on Tolerance Design to Minimize Manufacturing Cost and Quality Loss Rosyidi, Cucuk Nur; Akbar, Reza Rizkichani; Jauhari, Wakhid Ahmad
Makara Journal of Technology Vol. 18, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In a manufacturing company, manufacturing costs, or component prices, and tolerance will affect the price and the quality of a product. Companies must produce high-quality products with low manufacturing costs in order to keep their products competitive in the market; however, it is difficult to produce a high-quality product with a low manufacturing cost. Companies have difficulties in determining the components to be produced using their own manufacturing facilities (make) or outsourced to their suppliers (buy). Hence, a make or buy analysis is needed to minimize the manufacturing costs and quality loss and to determine the optimum alternative regarding make or buy decisions. This paper discusses an optimization model of a make or buy analysis for a manufacturing company in order to minimize the manufacturing costs and the quality loss in terms of manufacturer and customer quality loss. A numerical example is provided to show the application of the model using a simple assembly product consisting of three components. There are two machines that can be used to produce the components and three alternatives of suppliers to fulfill the order. Each machine and supplier have different characteristics in terms of manufacturing costs and its tolerance.
Perancangan Perangkat Pembelajaran Internet of Things (IoT) dan Pengenalan Robotika Kepada Siswa Sekolah Menengah di Surakarta Sekitarnya Laksono, Pringgo Widyo; Damayanti, Retno Wulan; Rosyidi, Cucuk Nur; Pujiyanto, Eko; Jauhari, Wakhid Ahmad; Dwicahyani, Anindya Rachma
Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Vol. 2, No. 2: August 2023
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.adipati.2023.v2i2.4784

Abstract

Pemahaman dan keterampilan pada siswa sekolah menengah mengenai Internet of Things (IoT) dan teknologi robotika adalah hal yang penting untuk menjawab tantangan global. Melalui pengenalan IoT dan robotika, siswa mendapatkan kesempatan untuk merancang, membangun, dan memprogram perangkat IoT dan robot secara langsung. Tujuan program ini adalah untuk memperkenalkan siswa pada konsep dan penerapan teknologi serta membantu mereka mengembangkan keterampilan yang relevan untuk dunia kerja abad ke-21. Siswa diharapkan dapat meningkatkan pemahaman mereka tentang IoT dan robotika, sehingga mereka lebih siap menghadapi tuntutan dunia kerja yang semakin berkembang di era revolusi industri 4.0. Selain itu, mitra industri yang terlibat dalam program ini, CV Enuma Technology, akan mendapatkan manfaat dalam mengembangkan produk media pembelajaran yang dapat dikomersilikilkan di pasar secara lebih luas. Melalui program ini, mitra industri dapat meningkatkan kualitas produk yang dibutuhkan oleh konsumen serta meningkatkan daya saing di pasar teknologi yang terus berkembang.
Implementasi Convolutional Neural Network untuk Klasifikasi Ekspresi Wajah Penonton Stand Up Comedy Kurnia Akbar, Agus; Laksono, Pringgo Widyo; Jauhari, Wakhid Ahmad
International Journal of Science, Technology and Applications Vol 2 No 2 (2024): Volume 2 Number 2 Tahun 2024
Publisher : Alpatih Harapan Semesta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70115/ijsta.v2i2.215

Abstract

Stand Up Comedy is one of the growing entertainment industries in Indonesia. The quality of the joke of the stand up comedian can be seen from the audience's response in the form of laughter and facial expressions. But it is very difficult to determine the audience's laughter level manually. Therefore, a tool is needed to measure the audience's laughter level more objectively. In this study, a machine learning model was designed and developed using a convolutional neural network to analyze the facial expressions of the stand-up comedian audience. The research stages include dataset collection, data preprocessing, model design, model training and model testing. The model was tested using artificial data from crowd emotion and live data from video crowd viewers. The results of this study show that the model can classify facial expressions in image and video data well. The model has an overall validation accuracy value of 72.42% with precision, recall, and F1-score values of 0.7341, 0.7309, and 0.7294, respectively, and a testing accuracy of 83.28% with precision, recall, and F1-score values of 0.8477, 0.8329, and 0.8297, respectively.
Co-Authors Akbar, Reza Rizkichani Ani Fatmawati Azizah Aisyati Bambang Suhardi Budiningsih, Endah Cucuk Nur Rosyidi Cucuk Nur Rosyidi Dwicahyani, Anindya Rachma Eko Liquiddanu Fatmawati, Ani Hanif, Zulhendra Hisjam, Muhammad I Gusti Ngurah Antaryama I Nyoman Pujawan Kurnia Akbar, Agus Lobes Herdiman Mulyaningtyas, Dwiningsih Naganingrum, R. Pitaloka Nugraheni, Eka Agustina Nugroho, Beny Pringgo Widyo Laksono Pujiyanto, Eko Retno Wulan Damayanti Reza Rizkichani Akbar Sejati, Nelita Putri Stefanus Eko Wiratno Wardani, Serlita Vidinia