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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Informatika dan Teknik Elektro Terapan Scientific Journal of Informatics JOIV : International Journal on Informatics Visualization Journal of Information Technology and Computer Science INTEGER: Journal of Information Technology JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) SPIRIT Jusikom: Jurnal Sistem Informasi Ilmu Komputer JATI (Jurnal Mahasiswa Teknik Informatika) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Jurnal Pengabdian kepada Masyarakat Nusantara Nusantara Science and Technology Proceedings Journal of Computer, Electronic, and Telecommunication (COMPLETE) KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika
Agung Mustika Rizki, Agung Mustika
Brawijaya University
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Social Sciences Other

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Journal : JOIV : International Journal on Informatics Visualization

 1 
Application of IoT-based Intelligent Control Devices Empowered with Fuzzy Inference System in the Garment Industry Rizki, Agung Mustika; Ashari, Faisal; Yuliastuti, Gusti Eka; Haromainy, Muhammad Muharrom Al; Aditiawan, Firza Prima; Amnur, Hidra
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.3344

Abstract

The garment industry in Indonesia has experienced significant development in recent years. A critical aspect of this development is the increasing role of Micro, Small, and Medium Enterprises (MSMEs). Swari Garment Industries (SGI) is an example of an MSME that focuses on the garment sector. In practice, various problems and negligence can affect the course of the production process. One potential issue is using the machine inappropriately or excessively, which can lead to a short electrical circuit. Short electrical circuits are one of the problems that must be faced because they can cause various severe impacts, including equipment damage and even fire. Based on this risk analysis, a possible solution to be applied to SGI, one of the MSMEs in the garment sector, is the implementation of an intelligent control device. The implementation of intelligent control tools based on the Internet of Things (IoT) can enhance the efficiency of the production process and mitigate significant risks to workers and the environment. The Fuzzy Inference System, in which the equity, temperature, and humidity are the input values of the Intelligent Control Device. A hardware device for temperature and humidity control, accessible through an Android phone application, was implemented in SGI. Experiments have verified that we can achieve excellent results. The average percentage of temperature measurement error was 0.2% and for humidity, 0.26%. The average percentage of measurement error from the comparison between the system and MATLAB is 0.49%.
Implication of ICWFPSO as Optimization Neural Network Algorithm on Sales Forecasting System Swari, Made Hanindia Prami; Rizki, Agung Mustika; Satwika, I Kadek Susila; Handika, I Putu Susila
JOIV : International Journal on Informatics Visualization Vol 8, No 3-2 (2024): IT for Global Goals: Building a Sustainable Tomorrow
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3-2.3134

Abstract

Predictive systems play a crucial role in a company's operations and strategy by aiding in more informed and data-driven decision-making and more effective planning and budgeting. It is possible to develop an intelligent system to perform forecasting. Neural networks offer significant advantages in forecasting systems due to their flexible modeling capabilities. However, this algorithm's fundamental weakness is the slow convergence rate and being trapped in a local minimum. To overcome it, this research is conducted to optimize the NN algorithm using the ICWFPSO to produce a forecasting algorithm with high accuracy and faster execution time using real e-commerce sales data for the past 7 years.  Algorithm performance testing tests the Mean Absolute Error (MAE) value of the forecasting system using three scenarios: the NN forecasting algorithm, the NN optimized with ICWFPSO on the weight value, and the same scheme. Still, the optimized value is the hyperparameter value.  ICWPSO has been shown to enhance the performance of PSO by tuning the inertia weight dynamically, which helps balance exploration and exploitation during the optimization process. The best prediction result is obtained when optimizing the hyperparameters using the ICWFPSO optimization technique compared to using traditional NN or optimizing weight value with ICWFPSO with the MAE value of 245.32958984375, and the best performance is obtained at iterations below 100. Further, gradient-based optimization methods might be generally preferred for their efficiency and effectiveness in handling large-scale neural network training.
Co-Authors Achmad Junaidi Adillion, Ilham Gurat Adityawan, Firza Prima Alzamzami, Moch. Nafkhan Andreas Nugroho Sihananto Anggraini Puspita Sari Ardi, Bagaskoro Kuncoro Arishandy, Zalfa Ibtisamah Ary Mazharuddin Shiddiqi ASHARI, FAISAL Bilqis Amaliah Citra Nurina Prabiantissa Dimara, Denis Lizard Sambawo Efendi, Ridwan Eka Prakarsa Mandyartha EKO WAHYUDI Eva Yulia Puspaningrum Fetty Tri Anggraeny Firza Prima Aditiawan Gusti Eka Yuliastuti Hafizh, Muhammad Abdullah Handika, I Putu Susila Henni Endah Wahanani Hermadiputri, Firdausa Yasmin Hidra Amnur I Komang Ari Mogi, I Komang Ari IMANDAYANTI, NUR EZA indrawanti, annisaa sri Ishardita Pambudi Tama Kartini Kartini Libriawan, Raditya Dimas Lutfia, Qonita Made Hanindia Prami Swari Mandyarth, Eka Prakarsa Maulana, Naufal Duta Mina, Nora Moch Erreza, Moch Erreza Mohammad, Farrel Adel Muhammad Muharrom Al Haromainy Muhammad Rivai Nuralamsyah, Bintang Nurlaili , Afina Lina Pratama, Muhammad Lutfi Putri, Shintyadhita Wirawan Rizky Amelia Saputra, Rendi Cahya Satwika, I Kadek Susila Setianto, Christian Wahyu Subairi Subairi Taufiqqurrahman, Husain Titin Sumarni Wardhani, Adil Sandy Wayan Firdaus Mahmudy Widoretno, Astrini Aning