Jurnal Teknologi Informasi dan Komunikasi

Implementation Of Finite State Automata In A Laundry Perfume Vending Machine For Clothes And Carpets

Yessica Fara Desvia, Febryawan Yuda Pratama, Suhendri Suhendri — Wed, 01 Oct 2025 00:00:00 +0700

Perfume is popular among various groups of people, including laundry fragrances. Laundry perfumes come in a variety of scen$ts, such as fruity, floral, a combination of fruit and floral, and woody aromas. These fragrances are typically applied during the final stage of the laundry process. Currently, customers receive their laundry with a randomly selected scent based on the availability at the laundry service, which means they cannot choose the fragrance they prefer. Therefore, a Vending Machine (VM) design is needed to allow customers to select their desired laundry perfume. The VM is designed using the Finite State Automata (FSA) approach, specifically the Non-Deterministic Finite Automata (NFA) type, as it can accommodate multiple conditions for a single option. The development of the NFA method involves stages such as business process analysis, state diagram creation, VM design, and system testing. The results of this study indicate that the implementation of this VM simplifies the process for customers to choose their preferred laundry perfume, ensuring that their laundry has a scent that matches their personal preferences.

Evaluasi Performa Naive Bayes dan CART pada Klasifikasi Kualitas Tahu

Wed, 01 Oct 2025 00:00:00 +0700

To remain competitive in the global market, tofu producers must ensure consistent product quality. Sumber Barokah Tofu Factory, a longstanding supplier of high-nutrient tofu, faces challenges in maintaining quality throughout the production process. This study compares the performance of Naïve Bayes and Classification and Regression Trees (CART) algorithms in classifying tofu quality using a dataset collected from a factory, which contains both high-quality and low-quality tofu samples. The research methodology encompasses problem identification, data collection, preprocessing, classification, validation, evaluation, and conclusion. Cross-validation was employed for model validation, and confusion matrices were utilised to assess precision, recall, and F1-score. Experimental results indicate that Naïve Bayes achieved an Accruracy of 91%, precision of 100%, recall of 85%, and F1-score of 92%, while CART achieved an Accruracy of 86%, precision of 70%, recall of 100%, and F1-score of 82%. These results suggest that Naïve Bayes is more suitable for classifying tofu quality in this context.

Kotak Amal Pintar Berbasis Internet of Things (IoT) Menggunakan Platform Blynk di SMAN 1 Serangpanjang

Wed, 01 Oct 2025 00:00:00 +0700

The objective of this study is to develop an Internet of Things (IoT)-based donation box that can be monitored and controlled remotely through the Blynk platform. Conventional donation boxes typically rely on manual counting methods, which are prone to manipulation and errors, as well as vulnerabilities related to the use of traditional keys, such as loss or unauthorized duplication. To address these issues, this research proposes an IoT-enabled system designed to enhance both transparency and security. The research methodology includes a literature survey to understand IoT concepts and relevant technologies, as well as an evaluation of RFID readers and color sensors. Additionally, user requirements analysis and system design were conducted to ensure the accurate and relevant delivery of information. The expected outcome of this study is a prototype that enables real-time monitoring of donation box security, thereby improving reliability and safeguarding donations. Furthermore, this work is expected to serve as a reference for future research related to IoT-based security systems

Machine Learning Sistem Monitoring Limbah Pembuangan Pabrik Gas Berbasis Iot Menggunakan Algoritma C4.5 Pada Platfrom Blynk (Studi Kasus Pabrik Samator Cidahu)

Rian Hermawan, Muhammad Arman Fahruroji, Ardhi Akmaludin Jadhira — Fri, 03 Oct 2025 00:00:00 +0700

Air pollution remains a major environmental issue, with NH?, CO, and CO? among the most harmful gases produced by transportation, industry, and agriculture. Increased concentrations of these gases can threaten human health and ecosystems. This research aims to design a monitoring device to detect CO and CO? levels in the atmosphere using Internet of Things (IoT) technology.

A prototype system was developed with an ESP8266 microcontroller, Gas sensor for gas detection, DHT22 sensor for temperature and humidity, and Fire sensor for fire detection. The collected data are processed using the C4.5 algorithm to classify air quality into five categories: good, moderate, unhealthy, very unhealthy, and hazardous. Results are displayed through the Blynk platform, allowing real-time monitoring and easy access for the public.

The case study was conducted around the Samator plant in Subang, where the system demonstrated the ability to provide timely and accurate information on air conditions. This IoT-based solution is expected to improve community awareness of air pollution risks and serve as an initial step toward environmental monitoring and control

Systematic Literature Review: Application of Internet of Things (IoT) for Smart Home Optimization

Sun, 19 Oct 2025 00:00:00 +0700

The Internet of Things (IoT) is one of the innovations in technology that utilizes internet connectivity as a medium to link devices for automatic data exchange. This study aims to analyze the development and implementation of IoT in the field of smart homes through a systematic literature review. The literature search process was conducted using the Harzing’s Publish or Perish software with the Google Scholar database and keywords relevant to the research topic. From an initial total of 158 journals, the selection and screening process based on the PRISMA 2020 guidelines resulted in 23 journals that met the inclusion criteria and were further analyzed. Term co-occurrence analysis using VOSviewer revealed three main research clusters: IoT integration in smart homes, system security, and internet-based smart home applications. The classification results show that the research focus is divided into four main themes: smart home security (34.78%), comfort and automation (30.43%), system integration (30.43%), and energy efficiency (4.35%). The security theme generally highlights sensor-based fire detection systems and real-time notifications, while comfort and automation focus on controlling household devices through voice assistants and mobile applications. The system integration aspect emphasizes device synchronization through Android platforms and Telegram bots, whereas research on energy efficiency remains very limited. Overall, IoT-based smart home research is still dominated by technical approaches, with little attention given to energy efficiency and cybersecurity. A multidisciplinary and holistic approach integrating aspects of security, comfort, energy efficiency, and artificial intelligence is required to develop smart home systems that are intelligent, secure, efficient, and sustainable.

Optimalisasi Sistem Pemilu Melalui Implementasi E-Voting Berbasis Blockchain Dengan Keamanan Kriptografi AES-128

Sun, 19 Oct 2025 00:00:00 +0700

The general election (Pemilu) is a fundamental element of a democratic system. This study develops and evaluates a blockchain-based e-voting system implementing AES-128 encryption to ensure the confidentiality, integrity, and availability of voting data. The system integrates AES-128 symmetric encryption for data at-rest and SHA-256 hashing at the blockchain layer. Testing was conducted on a simulated dataset containing 100,000 voting records to measure processing time, storage efficiency, and cryptographic resilience against brute-force and data manipulation attacks. Experimental results show an average read/processing time of 24 seconds for 100,000 records under the test server configuration, and theoretical security analysis indicates that brute-forcing AES-128 is impractical with current computational capabilities. The contribution of this research lies in the integrated design of an e-voting system that combines data encryption and distributed storage models with verification mechanisms, thereby enhancing the transparency and auditability of the election process.