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Journal : JURNAL INTEGRASI

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
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.
Rancang Bangun Alat Penetas Telur dengan Sistem Pengendali Suhu dan Kelembapan Menggunakan Metode Fuzzy dan Monitoring Berbasis IoT: Rancang Bangun Alat Penetas Telur dengan Sistem Pengendali Suhu dan Kelembapan Menggunakan Metode Fuzzy dan Monitoring Berbasis IoT Wendy Kriswanto Simangunsong; Manurung, Cyntya Tri Hartati; Suciningtyas, Ika Karlina Laila Nur
JURNAL INTEGRASI Vol. 17 No. 1 (2025): Jurnal Integrasi - April 2025
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v17i1.9478

Abstract

The egg hatching process is an important stage in the poultry farming industry that requires optimal temperature and humidity control. This research develops an automatic egg hatcher equipped with Mamdani fuzzy logic-based control and Internet of Things (IoT)-based monitoring. The fuzzy system is used to precisely regulate temperature and humidity, while IoT technology enables real-time monitoring through a digital platform. The test results show high accuracy with an average error of 0.78% for temperature and 1.08% for humidity. IoT monitoring has reliable performance with a data transmission delay of 5-7 seconds. In addition, it achieved 71,4% hatchability, proving its effectiveness in creating optimal environmental conditions for hatching. It provides a modern solution that improves the efficiency, productivity, and quality of hatching eggs, and makes it easier for farmers to monitor and control the process automatically.
Co-Authors Abdullah Sani Abdurahman Dwijotomo Adlian Jefiza Agus Naba Ahmad Riyad Firdaus Ahmad Riyad Firdaus Akhmad Afandi Akhmad Jufriadi Andi Hartanto ANUGERAH WIBISANA Ari Wira Saputra Arif Febriansyah Juwito Arif Rachmansyah Assegaf, Iqchan B. Budiana Budi Sugandi Budiana, Budiana Diono, Diono Eka Mutia Lubis Eko Rudiawan Jamzuri Fandy Bestario Harlan Fitriyanti Nakul Futra, Asrizal Deri Hanifah Riafinola Hasnira Hasnira Hena Dian Ayu Hendawan Soebhakti Heru Wijanarko Hutasoit, Fania Putri Ilham Kurnia Imam Sholihuddin Imam Sholihuddin Iman Fahruzi Indra Daulay Ira Zamzami Irwanto Zarma Putra Ismail, Aziz Jeremiah Pardomuan Hutabarat Juliansyah Yangu Kamarudin Kamarudin Lalu Kaisar Wisnu Kita Lalu Kaisar Wisnu Kita Lindawani Siregar M Rahman Manurung, Cyntya Tri Hartati Marpaung, Roy Hitmen Maulana, Rifky Daniel Maulidah, Hana Mutialif Mishthafiyatillah, Mishthafiyatillah MUHAMMAD ARIFIN Muhammad Arifin Muhammad Nazri Muhammad Rizki Romadhan Mulyadi, Indra Hardian Nadhrah Wivanius, Nadhrah Nanta Fakih Prebianto Putri, Sarah Athaullah Wenna Qoriatul Fitriyah Rabiah Al Adawiyah Anwar Raehanayati Raehanayati Ramadhan, Rahmat Ersya Ridwan Ridwan Rifqi Amalya Fatekha Rindang Alamsyah Ririn Humaera Risandriya, Sumantri Kurniawan Riska Analia Rogen Samuel Hasibuan Ryan Satria Wijaya S. Susanto Salman Alfarizi Sandy Vikki Ariyanto Senanjung Prayoga Silitonga, Ricky Siregar, Lindawani Sukir Sukir Susanto Susanto Susanto Susanto Vivin Oktowinandi Wendy Kriswanto Simangunsong Widya Rika Puspita Widya Rika Puspita Yusiran