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Prototype Sistem Pembagian Beras Bansos Berbasis IoT Menggunakan E-KTP Edy, Marwan Ramdhany; Hairunnisa, Rini; Muhammad Fardan; Adistia, Ainun Zahra
Progressive Information, Security, Computer, and Embedded System Vol. 1, No. 1 Maret (2023)
Publisher : Sakura Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/pisces.v1i1.22

Abstract

This study aims to design an IoT-based social assistance rice distribution system using e-KTP which can provide convenience in distributing rice to beneficiaries, practical and automatic social assistance only by bringing the e-KTP that has been registered without having to queue any longer. The results of the study show that the social assistance rice distribution system makes it easy for related village officials to distribute social assistance rice efficiently and effectively. The result of testing this system is that on each e-KTP there is a unique code that is different for each card which will be processed by the microcontroller and the data will be compared with the data registered in the database, with that if the user is registered the LCD will display a successful registered notification, but only Only e-KTPs that have been registered can collect this social assistance rice. Furthermore, there is a pin access on this tool as a second security which allows the recipient to be sick and can be represented by accessing it through the pin that has been inputted into the database.
Article Retrieval And Automatic Summarization System Using BERT-Based Neural Network Model On Chatbot Awaluddin, Muhammad Ghazali; Aksa, Muhammad; Arifky, Reza; Bakri, Muhammad Fajar; Surianto, Dewi Fatmarani; Edy, Marwan Ramdhany; Zain, Satria Gunawan
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.4463

Abstract

The rapid growth of online scientific publications presents challenges in efficiently filtering relevant information. Many search systems still rely on keyword matching, which is often ineffective in understanding the context of user queries. This study develops a chatbot system based on BERT (Bidirectional Encoder Representations from Transformers) for scientific article retrieval and automatic summarization. The system is designed to comprehend user intent and generate summaries of relevant articles. The evaluation was conducted on a dataset of 506 scientific articles, assessing search accuracy based on topic, abstract, author name, and time range. Results show 100% accuracy in searches by author and abstract, with varying performance in topic-based and time-based searches. This system is expected to enhance the efficiency and relevance of scientific literature retrieval and support the productivity of researchers across various fields.