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All Journal JTEV (Jurnal Teknik Elektro dan Vokasional Jurnal Teknik Elektro JURNAL NASIONAL TEKNIK ELEKTRO Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Robotics and Control (JRC) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Andalas Journal of Electrical and Electronic Engineering Technology Jurnal Andalas: Rekayasa dan Penerapan Teknologi SAINSTEK

Zaini, Zaini

Andalas University

Author-ID : 2984611

Aerospace Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Desain dan Implementasi Peringatan Dini Banjir Menggunakan Data Mining dengan Wireless Sensor Network Roni Putra; Zaini .; Era Madona; Anggara Nasution
JURNAL NASIONAL TEKNIK ELEKTRO Vol 5 No 2: Juli 2016
Publisher : Jurusan Teknik Elektro Universitas Andalas

The aim of this article is develop a warning system of early flood and weather information. This research was inspired by not stabilize weather condition of Indonesian. It will cause disaster such as flood because of the hight rainfall, as happened in Padang. Batu Busuk is one of the flood-prone area and galodo but there is no information about the weather, rainfall, humidity, temperature and wind speed and direction. The aim of this study is giving weather data and forecast information of the potential flood with variable rainfall, temperature, humidity, wind direction and wind speed which can be access realtime and up to date wherever and whenever via the webpage online. To determine the potential for flooding prediction by used data mining with a method of Alogritma C4.5 its can be result of decision tree. In this study using XBee S2PRO for sender and recipient with mesh topology which consists of a rainfall sensor components, SHT11, wind speed and direction as well as the arduino. Data storage and processing of information using the Raspberry Pi as a mini computer server. The result of sensor SHT11 measurement is a little difference with really measurement such as: 2.09% temperature, relative humidity of 0.59%, 3.87% wind speed, wind direction and precipitation 0% 6.32%. Meanwhile, the results of experiment in Batu Busuk proved the same weather conditions between EWS tool with the situation in Batu Busuk during the four day, where on March 22, 2016 at 5:35 PM information system Early Warning System (EWS) issued a warning system would be the potential for flood and after it be floded Batu Busuk.Keywords : Data mining , Algorithm C4.5 , XBee S2Pro , Raspberry Pi.Abstrak—Tulisan ini bertujuan untuk mengembangkan sistem peringatan dini banjir dan informasi cuaca. Hal ini dilatarbelakangi oleh keadaan Indonesia yang mempunyai dan mengalami perubahan musim yang cukup drastis. Perubahan musim dan kondisi cuaca yang tidak stabil dapat memicu terjadinya bencana seperti banjir yang disebabkan oleh curah hujan yang tinggi sebagaimana yang terjadi di Kota Padang. Daerah Batu Busuk merupakan salah satu area rawan banjir dan galodo akan tetapi tidak terdapat informasi tentang keadaan cuaca. Penelitian ini bertujuan memberikan informasi cuaca dan prediksi akan potensi banjir dengan variable curah hujan, suhu, kelembaban, arah angin dan kecepatan angin yang dapat diakses secara realtime dan up to date dimanapun dan kapanpun melalui webpage online. Untuk menentukan prediksi potensi banjir maka digunakan data mining dengan metoda Alogritma C4.5 yang menghasilkan pohon keputusan. Penelitian ini juga menggunakan XBee S2PRO untuk pengirim dan penerima dengan to pology mesh yang terdiri dari komponen sensor curah hujan, SHT11, arah angin, kecepatan angin serta arduino. Penyimpanan data dan pengolahan informasi menggunakan Raspberry Pi sebagai komputer mini server. Hasil pengukuran sensor SHT11 mempunyai kesalahan rata-rata pada suhu 2,09%, kelembaban relative 0,59%, kecepatan angin 3,87% dan arah angin 0% serta curah hujan 6,32% dari pengukuran alat ukur sebenarnya. Pengujian selama empat hari memiliki persamaan kondisi cuaca antara alat EWS dengan keadaan di Batu Busuk, dimana pada tanggal 22 Maret 2016 pukul 05:35 WIB sistem informasi Early Warning System (EWS) mengeluarkan warning system akan potensi banjir dan pada saat pagi hari aliran Batu Busuk mengalami banjir. Kata Kunci : Data mining, Algoritma C4.5, XBee S2Pro, Raspberry Pi.

Secure Socket Layer untuk Keamanan Data Rekam Medis Tumor Otak pada Health Information System Novi Novi; Zaini Zaini
JURNAL NASIONAL TEKNIK ELEKTRO Vol 6, No 3: November 2017
Publisher : Jurusan Teknik Elektro Universitas Andalas

This research aims to build a data security system medical records of brain tumor on Health Information System (HIS) by implementing the Secure Socket Layer (SSL) protocol on the communication channel between the client and server to prevent the infiltration of data traffic on the internet. SSL certificates are designed using Open SSL tool with RSA (Rivest-Shamir-Adleman) algorithm and 256 bit AES (Advance Encryption Standard) encryption, then implanted through the Python programming language on Raspberry Pi mini computer acting as a server on the system. The test result showed that the SSL protocol to encrypt and secure data communication channels from sniffing and attacking techniques during the data exchange process in the internet network.Keywords : Secure Socket Layer, Data Security, Raspberry Pi.AbstrakPenelitian ini bertujuan untuk membangun sistem keamanan data rekam medis tumor otak pada Health Information System (HIS) dengan mengimplementasikan protokol Secure Socket Layer (SSL) pada saluran komunikasi antara client dan server untuk mencegah terjadinya penyusupan pada lalu lintas data di internet. Sertifikat SSL dirancang menggunakan tool OpenSSL dengan algoritma RSA (Rivest-Shamir-Adleman) dan enkripsi AES (Advance Encryption Standard) 256 bit, kemudian ditanamkan melalui bahasa pemrograman Python pada mini computer Raspberry Pi yang berfungsi sebagai server pada sistem. Hasil pengujian menunjukkan bahwa protokol SSL dapat mengenkripsi saluran komunikasi dan mengamankan data dari teknik sniffing dan attacking selama terjadinya proses pertukaran data di jaringan internet.Kata Kunci : Secure Socket Layer, Keamanan Data, Raspberry Pi.

Perancangan dan Implementasi Sistem Monitoring Beban dan Kecepatan Kendaraan Menggunakan Teknologi Weigh in Motion Trisya Septiana; Zaini Zaini
JURNAL NASIONAL TEKNIK ELEKTRO Vol 7, No 1: March 2018
Publisher : Jurusan Teknik Elektro Universitas Andalas

Weigh in Motion (WIM) is one of the innovative solutions in traffic management that allows vehicles are weighed while on the way. In this research, it is designed a monitoring system capable of processing and calculating vehicle data in the form of vehicle load and speed through the WIM system. To support this system, the hardware used in the form of WIM sensor consists of a Load Cell, a HX711 amplifier module, and an Arduino as well as for the load signal data that has been produced by WIM system using the signal processing analysis method. Testing this system was conducted by using a passenger car at different speeds. Based on the test results, it is obtained that the WIM system is capable of measuring the running vehicle with the result of average error value for the speed is 8.94%, the distance of vehicle axle is 14.64%, and the vehicle load is 10.21%.Keywords : Weigh in Motion, Traffic Management, Load CellAbstrakWeight in Motion (WIM) merupakan salah satu solusi inovatif dalam manajemen lalu lintas yang memungkinkan kendaraan ditimbang pada saat dalam perjalanan. Pada penelitian ini dirancang sebuah sistem monitoring yang mampu mengolah dan menghitung data kendaraan berupa beban dan kecepatan kendaraan melalui sistem WIM. Untuk mendukung sistem ini digunakan perangkat keras berupa sensor WIM yang terdiri dari Load Cell, modul penguat HX711 dan Arduino serta untuk data sinyal beban yang telah dihasilkan sistem WIM menggunakan metode analisa pengolahan sinyal. Pengujian sistem ini dilakukan menggunakan sebuah mobil penumpang dengan kecepatan yang berbeda-beda. Dari hasil pengujian didapatkan sistem WIM mampu melakukan pengukuran kendaraan berjalan dengan nilai rata-rata error yang dihasilkan untuk kecepatan 8.94%, jarak sumbu kendaraan 14.64%, dan beban kendaraan 10.21%.Kata Kunci : Weigh in Motion, Manajemen Lalu Lintas, Load Cell

Identifikasi Pengenalan Wajah Perokok Menggunakan Metode Principal Component Analysis Romi mulyadi yusni; Zaini
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Cigarettes are one of the biggest contributors to preventable causes of death in society. Cigarette smoke contains various chemicals that can cause various diseases such as chronic coughs, lung cancer, and other health problems. Cigarette smoke not only harms the health of the smoker itself but also the health of others. Sometimes written warnings about smoking bans are often not followed by active smokers. This study aims to identify smokers 'facial recognition in order to recognize and identify smokers' faces who do not obey the rules by using dimensional reduction techniques oriented to the Principal component Analysis (PCA) method. Principal Component Analysis will later be integrated with the Eigenface and Eucladean analysis algorithms to reduce the image size in obtaining the best value vectors to simplify the face image in the input image space and look for the threshold value which is the threshold that the test data must pass so that it can prove the data value. testing becomes recognizable data through the calculation of the distance for each weight. In this study, there were 8 smoker faces with 5 different facial poses that were tested for 40 face recognition experiments and resulted in 34 correct smoker face recognition and 6 wrong smoker face recognition with an accuracy rate of 92.5% and a long face recognition process time of 80. second. This test has proven that the Eigenface and Euclidean distance in the Principal Component Analysis (PCA) are able to handle and recognize smoker's facial image data well.

Sistem Keamanan Gedung Menggunakan Kinect Xbox 360 Dengan Metode Skeletal Tracking Hamdi Alchudri; Zaini
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 6 (2021): Desember 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The incidence of fire and theft is very threatening and causes disruption to people's lifestyles, both due to natural and human factors resulting in loss of life, damage to the environment, loss of property and property, and psychological impacts. The purpose of this study is to create a building security system using Kinect Xbox 360 which can be used to detect fires and loss of valuable objects. The data transmission method uses the Internet of Things (IoT) and skeletal tracking. Skeletal detection uses Arduino Uno which is connected to a fire sensor and Kinect to detect suspicious movements connected to a PC. Kinect uses biometric authentication to automatically enter user data by recognizing objects and detecting skeletons including height, facial features and shoulder length. The ADC (Analog to Digital Converter) value of the fire sensor reading has a range between 200-300. The fire sensor detects the presence of fire through optical data analysis containing ultraviolet, infrared or visual images of fire. The data generated by Kinect by detecting the recognition of the skeleton of the main point of the human body known as the skeleton, where the reading point is authenticated by Kinect from a range of 1.5-3 meters which is declared the optimal measurement, and if a fire occurs, the pump motor will spray water randomly. to extinguish the fire that is connected to the internet via the wifi module. The data displayed is in the form of a graph on the Thingspeak cloud server service. Notification of fire and theft information using the delivery system from input to database

Analisis Kualitas Jagung Berbasis IoT dengan Penerapan Model SSD Mobilenet dan Histogram Audy; Zaini
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 2: Mei 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Corn is one of the main comestibles in our society. In these last few years, the production of comestible in Indonesia has decreased, including corn. For this reason, besides increasing the production of corn, it is necessary to research corn quality so that corn has a competitive advantage. The research aims to monitor the corn’s growth and classify the corn’s quality. The research was divided into two aspects: the aspect of good corn growth, with the internet of things (IoT) monitoring, and the classification of the corn quality based on the RGB intensity pattern of digital and TensorFlow using SSD Mobilenet models. On the corn growth, the research observed temperature, humidity, and plant distance based on two kinds of corn plant diseases (blight leaf and rotten knob), using a microcontroller (Arduino Uno), DHT11 sensor, VL53L0X sensor, and ESP8266 for accessing data to a website. The quality of corn was classified into three groups, namely rotten, moldy, and normal. The classification was carried out using Python programming on Raspberry Pi with open-source library TensorFlow using SSD Mobilenet models (as the primary option for classifying the quality of corn) and Delphi 7 on a computer (as an additional option). The number of samples used was 180 sample corn seeds tested ten times for each type of quality. The results showed that the recognition of normal corn quality was nine times correct, moldy corn quality was seven times correct, and rotten corn quality was six times correct with an accuracy rate of 73.3%.

ANALISIS KINERJA PROTOKOL ZIGBEE DENGAN TOPOLOGI STAR PADA BUILDING AUTOMATION SYSTEM (BAS) Eko Kurniawanto Putra; Zaini
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 5 No 2 (2017): JURNAL TEKNOIF ITP
Publisher : ITP Press

Building Automation System (BAS) digunakan untuk menyesuaikan secara otomatis kondisi dalam ruangan untuk mengurangi biaya operasional. BAS merupakan integrasi dari beberapa sistem automasi, yaitu Heating Ventilating and Air Conditioner (HVAC), pencahayaan, keamanan dan kebakaran, keamanan pengguna, pemantau daya dan transportasi dalam gedung. Penggunaan system ini diharapkan dapat meningkatkan kemampuan manajeman energy suatu gedung. Teknologi wireless BAS pada penelitian ini dengan memanfaatkan jaringan nirkabel zigbee yang menguntungkan dari segi fleksibilitas. Pengujian antara node coordinator dan end device pada masing-masing sensor node dilakukan dengan topologi point to point dengan membaca parameter RSSI (Received Signal Strength Indicator) melalui aplikasi XCTU, menunjukkan packet loss yang diterima maksimal hanya sebesar 1%. Sedangkan pengujian transmisi data dari setiap sensor node hingga ke database system dengan sampel data 10 jam menggunakan topologi star menunjukkan rata-rata data yang diterima 94% dengan delay pengiriman data antara 1 hingga 2 detik. Waktu yang diperlukan masing-masing sensor node untuk terhubung dengan receiver apabila pada saat dinyalakan hingga data tersimpan ke database kurang dari 19 detik. Topologi star adalah topologi yang sangat sederhana, sehingga kedepannya dapat dikembangkan dengan menggunakan topologi yang lebih kompleks seperti tree dan mesh.

IMPLEMENTASI PROTOKOL SNMP UNTUK JARINGAN DI KANTOR GUBERNUR SUMATERA BARAT Zaini; Muhammad Rizky
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 1 No 1 (2013): JURNAL TEKNOIF ITP
Publisher : ITP Press

Sistem informasi telah menjadi bagian yang sangat penting bagi semua institusi dan kalangan modern untuk saat ini. Dengan ketersediaan sistem informasi yang tepat, banyak keuntungan yang dapat diperoleh, yang pada akhirnya akan meningkatkan produktivitas kerja. Untuk menjaga jaringan informasi tetap stabil dan tersedia, diperlukan suatu sistem manajemen yang baik dan mampu mengatasi masalah yang terjadi. Dalam penelitian ini dilakukan perancangan dan implementasi protokol SNMP untuk manajemen jaringan yang diimplementasikan langsung di Kantor Gubernur Sumatera Barat. Dalam operasionalnya, protokol SNMP in dibantu dengan aplikasi The Dude yang dikembangkan oleh Mikrotik. Dari hasil pengujian dan analisa sistem diperoleh hasil bahwa sistem monitoring dan manajemen jaringan yang telah dirancang dapat berjalan dengan baik. Sistem yang dirancang dapat menampilkan berbagai informasi yang dibutuhkan dalam memanajemen jaringan seperti tampilan peta topologi jaringan dan berbagai fitur lainnya. Serta dengan menambahkan fitur notifikasi email, penanganan terhadap masalah yang terjadi dapat lebih efisien dibandingkan dengan menggunakan metode konvensional.

Real-Time SoC Estimation for Li-Ion Batteries using Kalman Filter based on SBC Raspberry-Pi Zaini Zaini; Dwi Mutiara Harfina; Agung P Iswar
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 1 No. 2 (2021): November 2021
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Measurement of electric charge on the battery in real-time cannot be separated from external noise and disturbances such as temperature and interference. An optimal State of Charge (SoC) estimator model is needed to make the estimation more accurate. To obtain the model, the battery was tested under room temperature conditions and at a temperature of 40oC to obtain a second-order RC model for the Li-Ion battery used. Based on the test data obtained, the data will be tested first using the Kalman Filter method to get an estimate of the State of Charge (SoC). Tests were carried out using MATLAB software. After the method was tested, the online SoC Estimator design began using the Raspberry Pi Single Board Computer (SBC). After that, the estimator will be tested first using data from offline measurements and then used in real-time (online) SoC estimation measurements. The Voc before the battery discharge test was 13.16 V and after the test, the measured Voc was 11.58 V. During the discharge the Voc was reduced by 1.58 V. While the discharge data from the battery manufacturer showed the reduced Voc during the discharge was 1.2V.

Design of Monitoring System for Hazardous Gas and Fire Detection In Building Based On Internet of Things Zaini Zaini; Taffany Hudalil Alvy
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 1 (2022): May 2022
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Fires and gas leaks are events that still occur frequently. This incident is usually caused by various factors including leakage of LPG gas cylinders, cigarette butts that are disposed of carelessly, short circuits of electric current and so on. Generally, fires and gas leaks can only be detected if the fire has already grown or a lot of smoke comes out of the building. Therefore, a monitoring system for detecting dangerous gases and fires in buildings based on the Internet of Things was created that can monitor the condition of the building through a website as well as send notifications to the Telegram application on smartphones. The detection system implemented uses a flame sensor as a fire detector, an MQ-2 gas sensor as a detector of hazardous gases (CO, CO2, and CH4), and NodeMCU as a module to transmit data. The system will work continuously in real time, if gas is detected that exceeds the threshold or a fire is detected, the system will send a notification to Telegram and the website will display the value and status of the sensor and a map of the area where the fire or gas leak occurred. The results of the detection system created to be able to provide solutions so that cases of fire and gas leaks can be handled early by detecting signs of fire or gas leaks and sending the information to users via the website and notifications.

Co-Authors . Darwison Agung P Iswar Akhyar Akhyar Anggara Nasution Audy Aulia Aulia Darmawan Darmawan Dwi Mutiara Harfina Dwi Mutiara Harfina Eko Kurniawanto Putra Eko Kurniawanto Putra Eko Rusdi Era Madona Fadhli Palaha Fardhan Arkan Fitria Rahmadina Hamdi Alchudri Laksono, Heru Dibyo Mayang Safira Melda Latif Muhammad Rizky Muhammad Syaiful Amri bin Suhaimi Mumuh Muharam Mumuh Muharram Nasution, Anggara Novi Novi Novi, Novi Putra, Roni Rahmadi Kurnia Rahmadina, Fitria Riko Nofendra Romi Mulyadi Roni Putra Roza Susanti Rusydi, Muhammad Ilhamdi Syarkawi Syamsuddin Taffany Hudalil Alvy Trisya Septiana Waweru Njeri Wisnu Joko Wulung

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