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Journal : Telcomatics

Characterization of The Heat Transfer in Film Boiling with Spray Quenching for Different Material Properties Sabariman Sabariman
Telcomatics Vol 2 No 2 (2017)
Publisher : Universitas Internasional Batam

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Abstract

A hot aluminum alloy AA6082 and nickel disc of 560 °C and 850 °C was cooled by a spray nozzle with the spray flux of 4.2, 10 and 13.7 kg/m2s. The temperature history during the cooling process was recorded with use of an infrared camera. The energy balance equation is the basis for the numerical procedure of Heat Transfer Coefficient (HTC) calculation in the film-boiling regime. It is found that HTC is almost independent from kind of metals. HTC has a stronger function of surface temperature. With use of single droplet model in film boiling developed, vapor film thickness can be calculated to predict this trend.
Prototype of Automatic Cafe Management System (ACMS) Based on Internet of Things (IOT) Sabariman Sabariman; Erris Fernandy
Telcomatics Vol 7 No 1 (2022)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v7i1.6797

Abstract

The COVID-19 Pandemic changes people’s lifestyle nowadays. Physical interactions between person have lessened due to laws passed by central governments concerning its limitations. It’s no surprise this impacted businesses that needs face-to-face meetings, such as cafés or restaurants. Based on such facts, prototype for Automatic Café Management System (ACMS) based on Internet of Things (IOT) is designed. ACMS allows customers to order food through web-based system that can be accessed with their gadgets. The system is equipped with a line follower robot to act as waiter/waitress. With such system, physical contacts in café or restaurant settings can be reduced significantly.
Design Sistem Kendali Temperature Otomatis dan Fitur Baby Monitoring dengan IOT pada Inkubator Grashof Tipe G - 62 Sabariman Sabariman; Nofriyadi Nofriyadi
Telcomatics Vol 7 No 2 (2022)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v7i2.7323

Abstract

Riset ini ditujukan untuk mendesain sistem kontrol otomatis pada inkubator bayi Grashof type G-62. Dengan menggunakan Logika Fuzzy, berat bayi dan kelembaban kabin diset sebagai input. Dalam fungsi waktu, parameter-parameter yang dikontrol selama pengoperasian inkubator bayi tersebut adalah berat, detak jantung, suhu badan, kelembaban dan suhu kabin. Semua nilai parameter ini kemudian ditransmisikan secara real time melalui fitur Internet of Thing (IoT) yang disematkan pada sistem. Metode Filter Kalman diaplikasikan untuk mengurangi error pada pembacaan sensor berat load cell. Sistem kontrol berhasil menginterpretasikan secara akurat kombinasi input berupa data berat bayi dan kelembaban kabin untuk kemudian menyesuaikan suhu kabin yang ideal bagi bayi.
Perancangan Prototype Brankas Menggunakan Sistem Pengenalan Wajah Dengan Metode Convolutional Neural Network (CNN) Andik Yulianto; Willy Andreas; Sabariman Sabariman
Telcomatics Vol 8 No 1 (2023)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v8i1.7852

Abstract

A safe-deposit box is a box used for keeping precious items. Safe-deposit boxes are designed to be difficult for people to open by force. There are various security systems that may be used in it, such as mechanical key, combinational lock, PIN, etc. However, a safe-deposit box is still prone to unpermitted access because anyone who knows the PIN or possesses the key is still able to open it. This research aims to create a safety-box prototype which has a face recognition system implemented on it to ensure no unauthorized person may access this box. Experiment is performed on three different classes, which are “erwin”, “unknown”, and “willy”. Class of “erwin” and “willy” are defined as safe owners, while “unknown” is defined as anyone who is not both owners. Classification on safe owners is considered success if the percentage output in corresponding classes is at least 90 %. Classification on “unknown” class is considered success if the result is at least 90 % or percentage on each class is lower than 90 %. Accuracy for each class is 0 %, 71.43 %, dan 100 %.