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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) PROtek : Jurnal Ilmiah Teknik Elektro Indonesian Journal of Artificial Intelligence and Data Mining Patria Artha Technological Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Jurnal Teknologi Informasi dan Pendidikan Jurnal Teknik Elektro dan Komputasi (ELKOM) Respati Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) J-SAKTI (Jurnal Sains Komputer dan Informatika)
Endri, Jon
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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IMPLEMENTASI FINGERPRINT PADA RANCANGAN PROTOTIPE SMART HOME MENGGUNAKAN METODE KEAMANAN KRIPTOGRAFI VIGENERE CIPHER DAN CAESAR CIPHER Salsabila, Dinah; Suroso, Suroso; Endri, Jon
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 27, No 1 Januari (2025): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.27.1.10-19

Abstract

Meningkatnya angka kriminalitas dan pemborosan energi listrik menjadi perhatian utama dalam pengembangan teknologi rumah pintar (Smart Home). Penelitian ini bertujuan untuk mengembangkan prototipe Smart Home berbasis autentikasi sidik jari (Fingerprint) yang diperkuat dengan metode keamanan kriptografi Vigenere Cipher dan Caesar Cipher. Sistem ini dirancang untuk mengontrol akses pintu, lampu, dan alarm, sekaligus melindungi data yang ditransmisikan dalam lingkungan Smart Home. Penelitian ini meliputi perancangan perangkat keras dan lunak, pengujian integrasi, serta analisis performa sistem. Hasil pengujian menunjukkan bahwa sistem Fingerprint mampu memverifikasi dan menolak sidik jari dengan tingkat keberhasilan 100%, menunjukkan keandalan autentikasi. Metode kriptografi Vigenere Cipher dan Caesar Cipher efektif dalam mengenkripsi dan melindungi data selama transmisi, memastikan keamanan informasi dari serangan pihak ketiga. Prototipe menunjukkan integrasi yang baik antara perangkat keras dan perangkat lunak, dengan kontrol perangkat melalui sensor Fingerprint dan website yang berfungsi optimal. Sistem memiliki waktu respon yang cepat, yaitu 1 detik untuk autentikasi sidik jari, 0.5 detik untuk enkripsi Vigenere Cipher, 0.3 detik untuk Caesar Cipher, dan 0.2 detik untuk pengiriman data melalui website. Hasil ini membuktikan bahwa prototipe yang dikembangkan andal, efisien, dan aman untuk mendukung teknologi rumah pintar.
Design Build a 4x4 Mimo Microstrip Antenna with Artificial Dielectric Muse Array Technique to increase Antenna Gain pexisting Application 5G Handayani, Ade Silvia; Sugiyanto, Aan; Ciksadan, Ciksadan; Endri, Jon
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 1 (2023): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v10i1.4857

Abstract

The development of fifth-generation cellular technology, commonly referred to as "5G" networks, is believed to be able to maximize data speed access needs. In order to maximize the utilization of the existing 5G network in Indonesia, Telkomsel providers are using a frequency of 2.3 GHz with a bandwidth of 50 MHz. So we need an antenna amplifier that is easy to fabricate and place anywhere to maximize the signal capture range. A microstrip antenna is a suitable antenna for this amplifier. The advantage of this antenna is that it has a light mass and is easy to fabricate. while the drawbacks come in the form of narrow bandwidth and small gains. Therefore, an antenna design with an artificial substrate and array technique was made to overcome this. The design of this microstrip antenna was made in the CST Studio Suite 2019. The design was carried out by entering the antenna dimension values to be simulated and seeing the parameters; if they are not suitable, then they need to be optimized again, and when they are appropriate, the design results are fabricated and printed. In testing the signal capture power using the Xirrus WiFi Inspector, this antenna was able to capture the signal beam, which was 105 meters or 40 meters further than not using the antenna. In addition, from testing, it is known that this antenna has a gain of 16.15 dBi. While in the simulation, it is also known that this antenna has the following characteristics: return loss: -32,353 dB (S11), -32,737 dB (S22), -33,974 dB (S33), -34,423 dB (S44), VSWR: 1,049 (VSWR 1), 1,047 (VSWR 2), 1.040 (VSWR 3), 1.038 (VSWR 4), impedance: 50.7 -111 MHz.
Interactive Real-Time Weight Management Platform Using Machine Learning Methods Haksa, Febrina Rosadah; Endri, Jon; Aryanti, Aryanti
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 2 (2025): July 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i2.36874

Abstract

This research develops an interactive and real-time web-based weight management platform that integrates machine learning methods using decision tree algorithms to detect the risk of weight-related diseases. The platform features an automatic Body Mass Index (BMI) calculator as well as a risk prediction system for diseases such as obesity and cardiovascular disorders. The data used includes the user's weight, height, eating habits, and physical activity level parameters collected through a live user interface. Based on the data, a decision tree algorithm is used to classify the health risk level and provide personalized recommendations to the user to help with preventive weight management. Initial testing showed that the decision tree model applied was able to achieve a prediction accuracy rate of 97%, demonstrating reliable performance in identifying health risks based on lifestyle data. This platform is expected to be an accessible technology solution to increase public awareness of the importance of weight management and disease prevention independently.
Monitoring Dan Keamanan Dapur Dengan Penentuan Tingkat Bahaya Berbasis IoT Qobla, M. Marjuan; Suroso, Suroso; Endri, Jon
Jurnal Teknik Elektro dan Komputasi (ELKOM) Vol 7, No 2 (2025): ELKOM
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/elkom.v7i2.22636418

Abstract

Penelitian ini mengembangkan sistem keamanan dan pemantauan dapur berbasis Internet of Things (IoT) yang mengukur bahaya menggunakan logika fuzzy. Penggunaan LPG, keamanan dapur sangat penting dalam mencegah kebocoran gas dan kebakaran. Sistem ini menggunakan mikrokontroler ESP32 dan dihubungkan ke sensor seperti Flame Sensor (api), BME280 (suhu dan kelembapan), dan MiCS-5524 (gas). Protokol MQTT digunakan untuk mengirimkan data waktu nyata ke aplikasi MIT App Inventor. Untuk mengelola aktuator seperti kipas, pompa air, dan saluran gas dengan intensitas yang dikontrol melalui PWM, pemrosesan fuzzy mengubah keadaan menjadi tiga kategori: aman, waspada, dan berbahaya. Dengan demikian, dapat dikatakan bahwa sistem ini telah menunjukkan kemampuan untuk mengidentifikasi situasi berbahaya dengan cepat dan tepat serta secara otomatis merespons secara proporsional terhadap tingkat risiko. Sistem logika fuzzy lebih canggih dan mudah beradaptasi daripada sistem logika biner karena dapat menafsirkan data sensor secara progresif. Selain meningkatkan keamanan, solusi ini memungkinkan pemantauan kondisi lingkungan secara waktu nyata di dapur pintar.
Design of Automatic Organic Fertilizer Processing Tools by Utilizing the Internet of Things (IOT) as a Monitoring System Rahmaniar, Fadhila Desti; Endri, Jon; Salamah, Irma
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 3 (2023): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i3.26528

Abstract

This paper aims to design an automatic organic fertilizer processing tool by utilizing the Internet Of Things (IOT) as a monitoring system. The proposed tool system aims to make it easier to sort organic waste or inorganic waste which can then also automatically process organic waste into organic fertilizer. The method used is a literature survey conducted to solve relevant problems. At this stage, a data collection survey is carried out by utilizing previous research sources from books, journals, and the internet. We used this literature review to enable us to update the tool from previous research. The proposed system uses ESP 32 module as a microcontroller that can connect to WiFi. In addition, it has also been introduced in the Internet of Things (IOT) as an automatic monitoring system for organic fertilizer processing plants. Garbage download information is sent via the internet and returned to the Android application. However, in this study, one application, namely WhatsApp, was used. Garbage has long been a social problem, especially in big cities, polluting the environment, endangering public health, and reducing environmental aesthetics. Therefore, waste management is important to minimize the negative impact of waste. Finally, the research results obtained can be useful as technological development in the future of automatic organic waste processing equipment.
Co-Authors Ade Silvia Handayani Ahmad Taqwa Aryanti Aryanti Ciksadan, Ciksadan Difa, M Kelvin Haksa, Febrina Rosadah Handini, Wulan Tri Irma Salamah Lindawati, L Putra, Muhammad Rizki Ganda Qobla, M. Marjuan Rahmaniar, Fadhila Desti Rahmat Darmawan, Rahmat Salsabila, Dinah Sarjana Sarjana Setiawan, Muhammad Imam Sugiyanto, Aan Suroso Suroso Wardani, Lidona Kusuma Zarkasi, Muhammad Irvan