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All Journal ELKHA : Jurnal Teknik Elektro Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Journal of Economics, Business, & Accountancy Ventura Prosiding SNATIF Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Terapan Abdimas PROtek : Jurnal Ilmiah Teknik Elektro ITEj (Information Technology Engineering Journals) Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika INVOTEK: Jurnal Inovasi Vokasional dan Teknologi AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA IT JOURNAL RESEARCH AND DEVELOPMENT Indonesian Journal of Artificial Intelligence and Data Mining INOVTEK Polbeng - Seri Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) Prosiding Seminar Nasional Sains dan Teknologi Terapan Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal RESISTOR (Rekayasa Sistem Komputer) Patria Artha Technological Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science bit-Tech Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Jurnal Pengabdian Masyarakat Bumi Raflesia Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) International Journal Of Science, Technology & Management (IJSTM) Journal of Technology and Informatics (JoTI) J-SAKTI (Jurnal Sains Komputer dan Informatika)
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Journal : EDUMATIC: Jurnal Pendidikan Informatika

Sistem Monitoring dan Kontrol Penyiraman Aeroponik Tanaman Selada berbasis IoT dengan Metode Fuzzy Sugeno Wibowo, Muhamad Arya Al Ghifari; Salamah, Irma; Aryanti, Aryanti
Jurnal Pendidikan Informatika (EDUMATIC) Vol 8 No 2 (2024): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v8i2.27098

Abstract

Dependence on optimal environmental conditions is a major challenge in aeroponic cultivation, as plant roots require regular watering to maintain moisture and nutrient absorption. This research aims to design an IoT-based aeroponic watering monitoring and control system using Sugeno fuzzy method, which can adaptively determine the duration of watering based on temperature, humidity, and light intensity sensors, and enable environmental monitoring via smartphone. This research is conducted using an experimental approach, implementing the Sugeno fuzzy inference method to generate a constant (linear) watering duration calculated based on a fuzzy rule base. The system development stages include hardware and software design, implementation of Sugeno fuzzy logic for the watering mechanism, integration of the device with an IoT platform, and testing the effectiveness of the system in maintaining optimal environmental parameters. The results showed that the developed monitoring and control system was able to produce watering duration output with an average difference to MATLAB simulation results of 0.048 milliseconds and an average error rate of 0.9%. The system is also effective in maintaining optimal humidity in the aeroponic environment, with an average humidity of 96.00% and an average temperature drop of 0.28°C every time the watering process takes place.
Deteksi Tingkat Kerentanan Keamanan Website dengan Metode Manual Pentest dan Tools Xspear Jazuli, Ahmad; Salamah, Irma; Soim, Sopian
Jurnal Pendidikan Informatika (EDUMATIC) Vol 8 No 2 (2024): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v8i2.27109

Abstract

Currently, the internet has evolved into a source of information across various fields and demographics, making it easily accessible to many people. SQL injection and XSS payloads are among the most common types. The objective of this research is to detect the level of vulnerability of security gaps found and provide recommendations to the host for mitigating those risks. This research is qualitative in nature, focused on detecting the security gap levels on the Hotel Embryo website. The study uses vulnerability evaluation and penetration testing methods, with a manual penetration testing approach targeting specific URLs and vulnerability scanning using the Xspear tool. The research stages begin with gathering information from relevant sources through case studies and literature reviews of scientific articles, software and tools installation, followed by the core phase, which involves exploitation through pentest techniques and documenting the analysis results of the vulnerabilities found. The research subject is the Hotel Embryo website, and the research object is the security vulnerabilities detected on the website. Our findings identified a parameter in the room menu of the Hotel Embryo website, where 10 vulnerabilities with a HIGH status were discovered, posing significant risks, particularly to important data such as administrative information, personal data, institutional details, and more, which could be hacked and misused by cyber attackers.
Optimasi Kendali PID berbasis IoT pada Oven Listrik untuk Pengeringan Rempah yang Presisi Pratama, Bambang; Salamah, Irma; Lindawati, Lindawati
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.30537

Abstract

Unstable spice drying can reduce active compound content by up to 30% and increase the risk of microbial contamination by up to 40%, while conventional temperature control does not ensure thermal stability. This study aims to develop an IoT-based drying system using a PID algorithm to maintain temperature stability and allow remote monitoring and control. The research followed the waterfall model, starting from needs analysis, hardware and software design, PID implementation using a trial-and-error approach, IoT application development with Kodular and Firebase, system integration, and full system performance testing. Key components include the DS18B20 temperature sensor, ESP32, heating element, and IoT platform. Software testing used the black box method, while hardware testing evaluated performance through overshoot, steady-state error, settling time, disturbance simulation, and comparison with the on-off control method. The resulting system automatically regulates temperature with a PID algorithm and enables real-time monitoring via mobile devices. Testing showed the PID system was more stable than the on-off method, with overshoot <4°C, steady-state error <1.5°C, settling time of ±750 seconds, and quick response to disturbances. The mobile application operated reliably without errors, enhancing the quality and precision of the spice drying process.