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All Journal Jurnal Sistem Informasi Kaputama (JSIK) Majalah Ilmiah Kaputama El-Mujtama: Jurnal Pengabdian Masyarakat Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Mathematics and Technology (MATECH) International Journal of Health, Engineering and Technology Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Nusantara Journal of Multidisciplinary Science Jurnal Penelitian Teknologi Informasi dan Sains Router : Jurnal Teknik Informatika dan Terapan Repeater: Publikasi Teknik Informatika dan Jaringan Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Systematic Literature Review Journal Router : Jurnal Teknik Informatika dan Terapan
Syari, Milli Alfhi
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Journal : Indonesian Journal of Education And Computer Science

 1 
Application of the Learning Vector Algorithm Quantization On Smart Barcodes Andre; Achmad Fauzi; Milli Alfhi Syari
Indonesian Journal of Education And Computer Science Vol. 1 No. 2 (2023): INDOTECH - August 2023
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/indotech.v1i2.41

Abstract

The implementation of the Learning Vector Quantization (LVQ) algorithm on smart barcodes aims to enhance efficiency and accuracy in recognizing and tracking product data. In this context, barcodes serve as visual representations containing crucial product information. The LVQ algorithm is employed to optimize the classification and matching processes of barcode data with precise references. Through repeated training, this algorithm adapts learning vectors to better recognize barcode variations. In this study, researchers analyze the impact of LVQ algorithm implementation on smart barcode systems concerning identification accuracy, computational efficiency, and adaptability to changes. Experimental results demonstrate the significant benefits of applying barcodes to inventory systems in overall stock management and business efficiency. By utilizing barcode technology, the processes of tracking and recording product data become faster, more accurate, and automated. Barcode usage minimizes human errors, optimizes time, and reduces operational costs. By combining the intelligence of the LVQ algorithm with the potential of barcodes, this research illustrates a crucial advancement in the technology integration domain for the development of more sophisticated and effective systems
Application of the K-Means Algorithm in Traffic Violations In Langkat District (Case Study: Langkat Police) Sari, Elisa Puspita; Maulita, Yani; Syari, Milli Alfhi
Indonesian Journal of Education And Computer Science Vol. 1 No. 2 (2023): INDOTECH - August 2023
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/indotech.v1i2.50

Abstract

Societal activities are intertwined with traffic, and people prefer using vehicles. The lack of education and limited understanding of traffic regulations have led to numerous violations. The increasing number of traffic violations has resulted in a rise in traffic violation data. The abundance of traffic violation data has led to data accumulation within institutions. Therefore, data processing through data mining utilizing the K-Means Algorithm is deemed necessary. Research findings have unveiled a cluster of traffic violation data that stands out as the highest and most frequent during processing: the age group of 17 to 25 years, involving Honda Vario 150 vehicles, and evidence of violations related to driver's licenses (SIM) and vehicle registration certificates (STNK). Test results on three clusters from a dataset of 502 traffic violation records reveal the following: Cluster 1 comprises traffic violation data pertaining to individuals aged 26 to 45 years, using Honda CBR 250 vehicles, and violations tied to driver's licenses (SIM) and vehicle registration certificates (STNK). Cluster 2 includes traffic violation data concerning individuals aged 26 to 45 years, utilizing Suzuki Nex vehicles, and violations involving driver's licenses (SIM) as well as carrying more than one passenger. Cluster 3 involves traffic violation data associated with individuals aged 17 to 25 years, employing Honda Vario 150 vehicles, and violations linked to driver's licenses (SIM
Perancangan Lampu Pintar Berbasis Internet Of Things (IoT) Menggunakan Nodemcu Dan Blynk Sirait, Fahmi Aulia; Akim M. H. Pardede; Milli Alfhi Syari
Indonesian Journal of Education And Computer Science Vol. 1 No. 3 (2023): INDOTECH - December 2023
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/indotech.v1i2.61

Abstract

This study focuses on the design of a smart lamp adopting the Internet of Things (IoT) concept using NodeMCU and the Blynk platform. This smart lamp is designed to provide users with more flexible and convenient control through the use of the internet network. NodeMCU, a development module based on the ESP8266 microcontroller, is employed as the core of the smart lamp to connect it to the Wi-Fi network. In the design phase, the smart lamp system is implemented with the capability to be controlled through the Blynk application downloadable to the user's smartphone device. Users can control the lamp, adjust its brightness, and change the light color according to preferences through the intuitive Blynk interface. Integration with the Blynk platform allows remote access and real-time monitoring of the smart lamp's status.The test results demonstrate that the designed smart lamp can effectively communicate with the Blynk application through the Wi-Fi network. The responsive control functionality and the ability to adjust light colors and brightness provide a satisfying user experience. By combining IoT technology and the Blynk platform, this study produces a tangible example of a smart lamp implementation that enhances the convenience and comfort of managing room lighting
Co-Authors ACHMAD FAUZI Adityo Razzaqqi Ahmad Fauzi Aji Tyo Syahputra Al Dimas Sausan Roidoh Alwa Hul Karim Andre Anjellita Sundari Sumarsono Buaton, Relita Diky Jaswa Dimas Aditya EVAPIONA Fauzi, Achmad GOESTI MESKANA PELAWI PELAWI Hermansyah Sembiring Hotler Manurung Jecika Azzahra Khair, Husnul Marto Marto Martoga Mahulae Muhammad Fadlan Siregar Novriyenni Novriyenni Novriyenni Nurhafieza Nurhafieza Pardede, Akim Manaor Hara Putri Mayang Sari Putri Purwani, Dea Nanda Rahmawati, Rahmawati Rendy Aginta Rusmin Saragih, Rusmin Safna Safitri Sari, Elisa Puspita Septian, Refli Sihombing, Marto Sirait, Fahmi Aulia Sri Rezeki Yani Maulita  Enno Loria