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All Journal Sainteks JURNAL MEDIA INFORMATIKA BUDIDARMA LLT Journal: A Journal on Language and Language Teaching Jurnal Sisfokom (Sistem Informasi dan Komputer) MULTINETICS JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) TIN: TERAPAN INFORMATIKA NUSANTARA Journal of Informatics, Electrical and Electronics Engineering JURNAL TEKNIK INFORMATIKA DAN KOMPUTER
Febriawan, Dimas
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Sentiment Analysis of Society Towards the Child-free Phenomenon (Life Without Children) on Twitter Using Naïve Bayes Algorithm Nurhaliza, Siti; Febriawan, Dimas; Hasan, Firman Noor
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 13 No. 1 (2024): MARET
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i1.1944

Abstract

The difference in societal perspective regarding personal well-being and understanding life choices is genuinely diverse. Lately, there is a prevalent thought where individuals believe that personal well-being can be achieved by choosing to live without children. Most of them prefer to prioritize their careers, education, or other activities that they believe can bring greater happiness and well-being to their lives. This topic has become a frequently discussed subject in almost every region of Indonesia, especially in urban areas. Not only facing negative stigma, the choice to live a life without children in Indonesia also carries positive connotations. Views on child-free in Indonesia are highly diverse, considering the many differences in social environments and each individual’s personal experiences. In this research, the Naïve Bayes algorithm is used as a sentiment classifier in the form of textual data collected through Twitter using the Rapid Miner. The data collection period spanned from May 3rd to May 10th, 2023. The research aims to analyze and present data regarding public sentiment towards the child-free phenomenon in Indonesia. The results of this research reveal the presence of 320 positive sentiments and 180 negative sentiments, with the accuracy value of the Naïve Bayes algorithm in conducting sentiment analysis on the child-free phenomenon reached 95.00%.
Perancangan dan Implementasi Sistem Smart Regulator Berbasis Internet of Things untuk Deteksi Kebocoran Gas LPG Laksono, Muhammad Yurizard; Febriawan, Dimas
Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 2 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v5i2.2890

Abstract

This research focuses on the design, implementation, and evaluation of an Internet of Things (IoT)-based Smart Regulator system developed to detect LPG gas leakage and to perform automatic, real-time safety actions through integration with a smartphone. The proposed system employs the NodeMCU Wemos ESP8266 as the main control unit, which is responsible for processing sensor data and coordinating all system components. LPG gas leakage detection is carried out using an MQ-5 gas sensor, capable of measuring LPG concentration in parts per million (PPM). As part of the safety response mechanism, the system is equipped with several output devices, including a buzzer and LED indicators as warning signals, an exhaust fan to reduce gas accumulation within the enclosed space, as well as a motor servo and a solenoid valve that function to automatically control the gas flow. Based on experimental testing, the system has demonstrated stable and consistent performance in detecting LPG gas leakage. When the detected gas concentration is below 300 ppm, the system remains in a normal operating state without activating any warning devices. When the gas concentration ranges between 300 and 400 ppm, the buzzer and visual indicators are automatically activated as an early warning mechanism. Furthermore, when the gas concentration reaches between 500 and 1000 ppm, the exhaust fan and the regulator valve control mechanism are automatically engaged to reduce gas accumulation and minimize the risk of fire hazards.
Co-Authors Bahalwan, Zen Aufa Firman Noor Hasan Ikhsan, Syaif Nurul Laksono, Muhammad Yurizard Nishfahuddin, Ananda Prayogi, Jaka Putri, Kirana Alyssa Rozak, Bahrul Silih Warni Sinduningrum, Estu Siti Nurhaliza Tian Abdul Aziz Transiska, Dwi