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All Journal Elkom: Jurnal Elektronika dan Komputer SITEKIN: Jurnal Sains, Teknologi dan Industri WARTA JURNAL INTEGRASI Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Journal of Applied Electrical Engineering Journal of Community Service and Empowerment JTEIN: Jurnal Teknik Elektro Indonesia CARE: Jurnal Pengabdian Multi Disiplin Journal of Sustainable Community Development
Jefiza, Adlian
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Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences Other

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Klasifikasi Wajah Manusia Menggunakan Multi Layer Perceptron Jefiza, Adlian; Diono, Diono; Putra, Irwanto Zarma; Budiana, Budiana; Nur Suciningtyas, Ika Karlina Laila; Siregar, Lindawani; Puspita, Widya Rika; Harlan, Fandy Bestario; Assegaf, Iqchan; Marpaung, Roy Hitmen
JURNAL INTEGRASI Vol. 15 No. 2 (2023): Jurnal Integrasi - Oktober 2023
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v15i2.4843

Abstract

The problem of data security at a time when it is needed in the world of technology. The use of biometrics as data security is very necessary. This study aims to detect human biometrics using the Kinect sensor. The biometric that is detected is the face. The face image is captured by the Kinect sensor. For data feature extraction using Gray Level Co-Occurrence Matrix (GLCM. The parameters used are Contrast, Energy, Homogenity, and Correlation. The data obtained will be classified using Multi Layer Perceptron. Face classification is based on race. There are 3 races studied namely Indonesian, Chinese and African Native Races. The total data used are 100 photos of faces. The classification results show an accuracy of 86.7% using Multi Layer Perceptron
Smart home: Pintu Otomatis Berbasis Voice Recognition Jefiza, Adlian; Puspita, Widya Rika; Firdaus, Fadli; Sihombing, Fitri Andini; Setiawan, Afif; Herlina, Gise; Milala, Gerry Ibnu Luthfi Sembiring; Fernanda, Heri
JURNAL INTEGRASI Vol. 16 No. 1 (2024): Jurnal Integrasi - April 2024
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v16i1.7400

Abstract

The current development of the Smart home is not only used for automation and monitoring of a room, but also used as security or what is usually called security. One form of smart home security technology is an automatic door lock installed in one of the laboratories at the Batam State Polytechnic. Automatic door lock devices are created using Voice Recognition as command input. Users can give the word Open to unlock the door and Close to lock the door. Selenoid Door Lock is used as a tool to lock doors, and LEDs and speakers are used for information. The tool is tested by giving commands by registered and unregistered users. The test results were 100% of the tool worked for registered users with normal Voice intonation, 77% of the tool worked for unregistered users with normal Voice intonation, 48% of the tool worked for registered users with abnormal Voice intonation and 43% of the tool worked for registered users. not registered with abnormal Voice intonation. Thus, the average tool works well by 67%.
Smart home: Monitoring Kondisi Cuaca Menggunakan Sensor Kelembapan dan Kecepatan Angin Berbasis Metode Fuzzy Jefiza, Adlian; Fernanda, Heri; Firdaus, Fadli
JURNAL INTEGRASI Vol. 16 No. 2 (2024): Jurnal Integrasi - Oktober 2024
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v16i2.8483

Abstract

Global warming has changed weather patterns in Indonesia, making it difficult to predict, and often the weather changes rapidly, such as sudden rain when the weather is hot. This study aims to overcome the problem of sudden weather changes by using a set of tools that can monitor humidity and wind speed based on the Internet of Things (IoT). This system uses an ESP32 microcontroller combined with a DHT22 sensor to measure humidity and an anemometer to measure wind speed. The collected data will be processed to produce an analysis of weather conditions using the fuzzy logic method and stored in Firebase for efficient data management. In addition, the user interface is designed based on Android Studio to facilitate real-time monitoring. The results of the study show that the developed system is able to provide accurate and reliable weather information, thus helping people plan their activities better.
Comparative Analysis between SA-516 Gr 70 Material with SA-537 Class 2 Material in Shell Pressure Vessel Fabrication Process Puspita, Widya Rika; Putri, Sarah Athaullah Wenna; Jefiza, Adlian; Arifin, Muhammad; Maulidah, Hana Mutialif; Nakul, Fitriyanti; Suciningtyas, Ika Karlina Laila Nur; Putra, Irwanto Zarma; Budiana, Budiana; Futra, Asrizal Deri; Wivanius, Nadhrah
JURNAL INTEGRASI Vol. 16 No. 2 (2024): Jurnal Integrasi - Oktober 2024
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v16i2.8563

Abstract

A pressure vessel is a container designed to hold fluids under pressure, including liquids and gases with varying pressures and temperatures. The pressure exerted on the vessel's walls and body is a critical factor that must be carefully considered to ensure compliance with applicable international design standards and prioritize worker safety and security. This research focused on a pressure vessel to investigate the impact of temperature on shell thickness to meet ASME standards. The study utilized shell components made from SA-516 Gr 70 and SA-537 materials. Experiments were conducted with each material at temperatures of 250°C, 235°C, and 343°C, revealing that thickness varies based on material and temperature. The research findings demonstrate compliance with ASME standards, as the shell thickness in all trials exceeded the minimum specified in the drawings.
Co-Authors Ahmad Riyad Firdaus Amri, Juhrial Analia, Riska ANUGERAH WIBISANA Assegaf, Iqchan Budiana, B. BUDIANA, BUDIANA Dalimunthe, Juwita Marwah Destiana, Rizka Diono, Diono Eko Rudiawan Jamzuri Fatekha, Rifqi Amalya Febri Yanti Febriansyah Juwito, Arif Fernanda, Heri Fernando Sitohang, Ferri Finanta Okmayura Firdaus, Fadli Futra, Asrizal Deri Gautama, Aditya Ghozali, Muhammad Syafei Gozali, Muhammad Syafei Hardi, Moh. Nabil Khairy Harlan, Fandy Bestario Hasnira, H. Herlina, Gise Ika Karlina Laila Nur Suciningtyas Jhon Hericson Purba Lubis, Eka Mutia Mahmud, Aqil Fadhurahman Marpaung, Roy Hitmen Maulidah, Hana Mutialif Milala, Gerry Ibnu Luthfi Sembiring Muhammad Affani Muhammad Arifin Mulyadi, Indra Hardian Nadhrah Wivanius, Nadhrah Nakul, Fitriyanti Novchi, Raja Widya Nur Suciningtyas, Ika Karlina Laila Prayoga , Senanjung Prayudha, Dimas Rama Puspita, Widya Rika Putra, Irwanto Zarma Putri, Sarah Athaullah Wenna Rahmaini, Vika Rahmana, Henry Ramadhani, Witri Ryan Satria Wijaya S. Susanto, S. Setiawan, Afif Sihombing, Fitri Andini Siregar, Lindawani Soebhakti, Hendawan Syafei Gozali, Muhammad Tambunan, Josua Cristian Wahyuningsih, Asriani Rosalina Wicaksono, M. Jaka Wimbang Wicaksono, Muhammad Jaka Wimbang Wulandari, Febrina Yangu, Juliansah Yangu, Juliasyah