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All Journal Jurnal Computech & Bisnis (e-Journal) Jurnal Teknologi Informasi dan Ilmu Komputer Seminar Nasional Informatika (SEMNASIF) KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer jurnal teknik informatika dan sistem informasi Jurnal Teknologi Informasi dan Komunikasi
Anderias Eko Wijaya
Universitas Mandiri
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Library & Information Science

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Journal : Jurnal Teknologi Informasi dan Komunikasi

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PROTOTYPE OTOMATIS SISTEM MONITORING PEMELIHARAAN TOKEK GURUN BERBASIS IoT PADA PLATFORM THINGSPEAK MENGGUNAKAN ALGORITMA C4.5 Anderias Eko Wijaya; Roby Muhromi
Jurnal Teknologi Informasi dan Komunikasi Vol 15 No 2 (2022): Oktober
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v15i2.234

Abstract

The Leopard Gecko is a reptilian species that thrives in desert regions with a humidity level of around 60%. Native to Pakistan, this exotic reptile captivates many reptile enthusiasts due to its unique skin color and pattern, aligning with its name. However, there are challenges in the care of Leopard Geckos, particularly among novice reptile enthusiasts who may lack comprehensive knowledge of proper care. This lack of knowledge can lead to issues such as tail dropping and illness, sometimes resulting in fatalities. To ensure the well-being of Leopard Geckos in captivity, it is crucial to create an environment that mimics their natural habitat, preventing severe issues such as tail loss, damaged skin, or even death. To address these concerns, an Internet of Things (IoT)-based System for Monitoring the Care of Leopard Geckos is developed, employing the C4.5 algorithm and the Thingspeak platform. The hardware used includes Arduino Uno, DHT11 sensor, LDR sensor, Ultrasonic sensor, Servo Motor, and ESP8266 Wifi Module. The research findings indicate that if the temperature exceeds 32°C and humidity drops below 60%, the lamp turns off, and the mist maker activates. Conversely, if the temperature falls below 32°C and humidity surpasses 60%, the lamp turns on, and the mist maker deactivates.
IMPLEMENTASI METODE SAW (SIMPLE ADDITIVE WEIGHTING) untuk MENENTUKAN PRIORITAS KEBERSIHAN TOILET SEKOLAH BERBASIS Internet of Things Anderias Eko Wijaya; Muhammad Azizul Hakim
Jurnal Teknologi Informasi dan Komunikasi Vol 16 No 1 (2023): April
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v16i1.242

Abstract

This research proposes the implementation of the Simple Additive Weighting (SAW) method as an approach to determine priorities for school toilet cleanliness based on IoT. The system integrates temperature, humidity, and ammonia gas sensors as key indicators to measure the cleanliness condition of toilets. The SAW method is employed to calculate the relative weight of each parameter, which is then used to assign priority scores. The system operates by utilizing temperature sensors to identify the toilet's environmental temperature, humidity sensors to measure humidity levels, and ammonia gas sensors to detect ammonia concentration, a crucial indicator of toilet cleanliness. Data from these sensors are collected and processed using the SAW method, enabling the automatic determination of toilet cleanliness priorities. The success of this implementation is tested through simulations and field testing. Experimental results demonstrate that the system is capable of providing priority scores with high accuracy, allowing for more efficient management of toilet cleanliness. Other advantages include the system's ability to provide real-time notifications to relevant parties through the IoT platform, facilitating prompt corrective actions. This research contributes to the development of intelligent solutions for school toilet cleanliness management, integrating IoT technology and the SAW method to provide a measurable and effective approach. With the adoption of this system, it is expected to enhance the quality of school toilet sanitation, support student health, and optimize school facility management.
SISTEM IDENTIFIKASI SAMPAH ANORGANIK BERBASIS IOT (Internet of Things) MENGGUNAKAN METODE SAW (Simple Additive Weighting) Anderias Eko Wijaya; Febriana Nur Rokhman
Jurnal Teknologi Informasi dan Komunikasi Vol 16 No 2 (2023): Oktober
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v16i2.249

Abstract

Inorganic waste is one of the environmental issues that needs to be effectively managed. An Internet of Things (IoT)-based system using the Simple Additive Weighting (SAW) method is implemented to provide a solution for the more efficient management of inorganic waste. This system utilizes sensors connected to the IoT network to detect and identify the types of inorganic waste entering a specific area. The SAW method is employed to assign weights to each criterion applied in the identification process of inorganic waste, such as type, weight, and physical condition. The system assesses based on the predefined criteria weights, enabling high-accuracy categorization of inorganic waste. Identification results can be accessed in real-time through the IoT platform Thingspeak, allowing for quick monitoring and analysis. Implementing this system is expected to positively contribute to the management of inorganic waste, facilitating more efficient collection, categorization, and overall waste handling. Moreover, adopting IoT technology and the SAW method in this system is envisioned to provide sustainable solutions in waste management efforts to support environmental sustainability.
Co-Authors Ade Irfan Dadan Marwan, Dadan Dede Sopian Deni Alfian Evi Werdi Utami Fahru Roji Ishaq Febriana Nur Rokhman Haris Nurjaman Ibnu Juniar Pamungkas Muhammad Azizul Hakim Nur Imam Iskandar Purnama Insan Rijal Bani Salam Sukarni Roby Muhromi Siti Nurlaelah Sunendra, Ali