Indonesia is one of the countries that is currently entering the political year for the election of President, Regional Heads, and Members of the Legislative in 2024. This has become a hot topic on social media, especially about the Presidential Election. Twitter is one of the platforms with the largest users in Indonesia. It is interesting to see the alignment of Twitter users towards presidential candidates who already have a carrying party, namely Ganjar Pranowo, Prabowo Subianto, and Anies Baswedan based on a sentiment analysis approach. User feedback data about Indonesian Presidential candidates are obtained from the Twitter plat-form using Twitter API with Python programming language. The data obtained was 30,0 0 0 data with each candidate as many as 10,0 0 0 data. Data is pulled in April 2023 with specific keywords. The time for data withdrawal is chosen based on the announcement of Presidential Candidates carried by political parties before the schedule for determining or campaigning for Presidential candidates. Current data can potentially be used again as a comparison of analysis of presidential candidates on campaign time spans and after campaigns or actual calculation results. The data that can be accessed is in CSV format and has gone through several stages such as labelling using Language experts, removing spam Tweets & empty cells and preprocessing. (c) 2023 The Author(s). Published by Elsevier Inc.

The idea of the Internet of Things (IoT) is utilized to increase the advantages of internet connectivity. As long as the electrical device is still connected to the internet, IoT can be utilized to operate it. This study applies the concept of IoT as a fan control and monitoring of the humidity and room temperature through a mobile-based application, so that the room can be controlled remotely using a smartphone before use. It is necessary to always keep the room comfortable to use, so that users can increase productivity and always avoid potential disease attacks when the temperature is unstable. In addition, the IoT concept also makes it easier to turn off the fan if at any time you forget to turn it off. This fan is integrated with the ESP32 microcontroller which has been equipped with a Wireless Fidelity (WiFi) module to access data changes in the Firebase Realtime Database. Room temperature and humidity are measured with a DHT22 sensor and processed using Tsukomto’s Fuzzy Inference System to produce the appropriate fan speed in the Duty Cycle unit. Tools and applications can work as predicted based on the findings of the research conducted. However, the impact of the fan on a closed room cannot cool the room temperature but the room temperature moves up with a change of 0.3 °C to 0.5 °C within 40-75 minutes. Therefore, in the next study it is recommended to use cooling devices such as Exhaust fans or Air Conditioners.

Facebook Messenger menjadi media sosial yang populer kedua setelah Whatsapp di tahun 2017. Meningkatnya jumlah pengguna Facebook Messenger tentu membawa dampak positif dan negatif, salah satu efek negatifnya adalah beberapa orang yang menggunakan Facebook Messenger melakukan kejahatan digital. Jika sebuah smartphone android menjadi bukti dalam kasus pidana dan Facebook Messenger terinstall di smartphone tersebut, maka pada aplikasi ini bukti digital dapat diidentifikasi dan dapat diharapkan menjadi pilihan untuk membantu penegakan hukum dalam mengungkap kejahatan digital. Proses identifikasi berdasarkan proses forensic mobile yang berdasarkan metode NIST (National Institute of Standards Technology). NIST memiliki panduan kerja baik itu kebijakan dan standar untuk menjamin setiap examiner mengikuti alur kerja yang sama sehingga pekerjaan mereka terdokumentasikan dan hasilnya dapat di ulang (repeatable) dan dapat dipertahankan (defendable). Penelitian ini menjelaskan gambaran umum bagaimana teknik-teknik yang dapat digunakan untuk mengembalikan bukti digital berupa text,gambar, dan audio pada Facebook Mesenger yang ada di Smartphone Android.