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Energy Estimation on BLDC Electric Vehicle using MATLAB Hasnira Hasnira; Didi Istardi
IPTEK Journal of Proceedings Series Vol 1, No 1 (2014): International Seminar on Applied Technology, Science, and Arts (APTECS) 2013
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2014i1.305

Abstract

The need for an efficient electric drive system which has high torque and speed, low maintenance costs is getting increased. However, the motors which are commonly used, such as induction motors and DC motors, have not been able to meet the need. Therefore, a new model with efficiency System and energy consumption using simulated software "MATLAB ® or Simulink®" is made. This model includes battery, power electronics converters, electric motors, and transmission systems. In this case the energy system during regenerative braking breaking is also taken into account. The result of the efficiency value of the batteries, inverter, electric motor and the total efficiency value of the overall system is gathered from the control Brushless Motor (BLDC) models HHDB 350-1000 Watt and some batteries type  SOC with capacity 34-48 Ah used.
SISTEM PENDINGINAN AIR UNTUK PANEL SURYA DENGAN METODE FUZZY LOGIC Maruto Swatara Loegimin; Bambang Sumantri; Mochamad Ari Bagus Nugroho; Hasnira Hasnira; Novie Ayub Windarko
JURNAL INTEGRASI Vol 12 No 1 (2020): Jurnal Integrasi - April 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (702.773 KB) | DOI: 10.30871/ji.v12i1.1698

Abstract

Sun light is one form of energy from natural resources. These solar natural resources have been widely used to supply electrical power in communication satellites through solar cells. This solar cell can produce unlimited amounts of electrical energy directly taken from the sun. The solar panel itself has the maximum body temperature which influences the output of the solar panel. Solar cell panels have a decreased ability to generate electricity if it overheats or goes through the limits of effectiveness. Therefore, a cooling tower system is developed using the Fuzzy Logic method through this study with the aim of maximizing the efficiency of solar cell panels in generating electricity and analyzing Solar Panel systems( Photovoltaic). The data analyzed are: 1) The method of cooling solar panels using the cooling tower system with fuzzy logic methods, 2) Efficiency of Solar Cell Panels in generating electricity, 3) Electric power produced by solar cell panels. The results of this study explain that the use of fuzzy logic can regulate the speed of water for cooling on panels so that it can be said that the cooling system for solar panels is suitable for use in the tropics, because sunlight is very abundant and is in the equatorial area.
EFFICIENT MAXIMUM POWER POINT ESTIMATION MONITORING OF PHOTOVOLTAIC USING FEED FORWARD NEURAL NETWORK Hasnira Hasnira; Novie Ayub Windarko; Anang Tjahjono; Mochammad Ari Bagus Nugroho; Mentari Putri Jati
JURNAL INTEGRASI Vol 12 No 2 (2020): Jurnal Integrasi - Oktober 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v12i2.2161

Abstract

The development of the utilization of solar panels in the future will continue to increase. One characteristic form of solar panels is the I-V curve which can be used to analyze the amount of solar panel output power. By knowing the I-V curve, we can get Maximum Power Point Estimation (MPPE) value that can be supported by solar panels. Information about the estimated value of the maximum solar panel power is an important part in determining the loading capacity, while maintaining the life of the equipment used. Feed Forward Neural Network with Back Propagation Algorithm (FFBP) has proven to be able to provide MPPE value information on solar panel output. The input values ​​in ANN are the voltage and current of the solar panel, while the output of ANN is in the form of an estimated power value. MPPE simulation results obtained an average error of 0.04 points between actual power (MPP) and estimated power (MPPE).
ESTIMASI STATE OF CHARGE BATERAI LITHIUM POLYMER MENGGUNAKAN BACK PROPAGATION NEURAL NETWORK Mohammad Imron Dwi Prasetyo; Hasnira Hasnira; Novie Ayub Windarko; Anang Tjahjono
JURNAL INTEGRASI Vol 12 No 2 (2020): Jurnal Integrasi - Oktober 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v12i2.2163

Abstract

The battery is an important component in the context of implementing renewable energy. The type of battery that has a density in energy storage is lithium polymer. The parameter in the battery that must be considered is the State of Charge (SOC) estimation. In general, the SOC battery estimation uses the coloumb counting method because the difficulty level is low. However, there are weaknesses in the dependence on the utility of the current sensor which is used as an accumulation of the integral of the incoming and outgoing currents over time. In this study presents Back Propagation Neural Network (BPNN) as an algorithm for estimating SOC based on OCV-SOC characteristic curves. The OCV-SOC characteristic curve of the battery is obtained from the battery pulse test. Battery voltage, current and discharging time are used as the first BPNN input layer for the estimation of Open Circuit Voltage (OCV). OCV will be learned as the second BPNN input layer for estimating battery SOC. The results of SOC estimation simulations obtained an average error of 0.479% against the real SOC based on the characteristic curve of OCV - SOC.
Metode Peningkatan Akurasi pada Sensor TDS Berbasis Arduino untuk Nutrisi Air Menggunakan Regresi Linier Dhodit Rengga Tisna; Berlian Juliartha Martin Putra; Tamara Maharani; Hasnira Hasnira
JURNAL INTEGRASI Vol 14 No 1 (2022): Jurnal Integrasi - April 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v14i1.3906

Abstract

Water quality has an important role in the field of aquaculture. One of the factors that determine water quality is the level of TDS (Total Disolved Solid). Therefore, a TDS meter that has precise accuracy is needed to be able to accurately measure the quality of various types of water. In this study developed a prototype capable of measuring TDS levels in water. This prototype consists of a TDS sensor device, Arduino UNO and an LCD to display the results of the measured water quality readings. So that the accuracy read by the prototype is able to match the commercial TDS meter, the researchers used a linear regression algorithm to be included in the Arduino TDS program. The results of the experiment show that the accuracy of the TDS prototype which was originally 77% increased to 98.3%, is almost close to precision with commercial TDS meters in general.
Rancangan Spot Instragramble di Hutan Wisata Mata Kucing Guna Pengembangan Strategi Marketing sebagai Tujuan Wisata Kota Batam di Era Milenial Muslim Ansori; Rahmat Hidayat; Hasnira Hasnira
JURNAL AKUNTANSI, EKONOMI dan MANAJEMEN BISNIS Vol 9 No 2 (2021): Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis - Desember 2021
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaemb.v9i2.3825

Abstract

Tujuan dari penelitian ini adalah untuk menganalisa kebutuhan wisata alam yang diminati dan diharapkan oleh masyarakat dari dua golongan yang berbeda (kalangan muda dan berkeluarga) di Kota Batam, sehingga akan dapat dijadikan rujukan untuk pengembangan Hutan Wisata Mata Kucing ke depannya. Metode yang digunakan dalam penelitian ini adalah deskriptif kualitatif, yaitu berupa pembahasan tentang kebutuhan masyarakat dalam hal wisata lokal, pendapat akademisi terkait dengan strategi marketing dan pengembangan usaha pariwisata local di Batam, juga analisis SWOT. Hasil penelitian menunjukkan bahwa Hutan wisata mata kucing memiliki banyak peluang untuk pengembangan, namun juga membutuhkan tindakan khusus terkait dengan pemanfaatan teknologi terutama untuk pengelolaan, pelayanan, dan pemasaran.
Sistem Pemantau Kualitas Udara Bebasis Wireless NetworkK Arif Febriansyah Juwito; Aji Sanjaya; Fauzun Atabiq; Irwanto Zarma Putra; M. Syafei Gozali; M. Prihadi Eko; Handri Toar; Qoriatul Fitriyah; Hasnira Hasnira
Journal of Applied Electrical Engineering Vol 6 No 1 (2022): JAEE, June 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v6i1.4106

Abstract

Sistem pemantau kuliatitas udara via web berbasis wireless network didesign sebagai sebuah jaringan telekomunikasi yang terkait secara nirkabel. Untuk mengetahui nilai dari kualitas udara di suatu wilayah yang ditetapkan secara real, maka perlu membangun sebuah sistem pemantauan kualitas udara. Pada penelitian ini akan digambarkan suatu rancang bangun dari sistem pemantau kualitas udara dengan memanfaatkan arduino yang dapat di akses melalui website. Perangkat ini dirancang dengan menggunakan arduino, sensor MQ7, hosting apache offline dan perangkat Wi-Fi ESP8266. Implementasi dari pengoperasian perangakat arduino yang digabungkan dengan ESP8266 ini dimaksudkan untuk memberikan pengaturan dalam mengatasi masalah pengumpulan data ataupun pemantauan kondisi lingkungan yang sulit dijangkau, dengan perangkat yang portable dengan sistemyang lebih dinamis, dan dapat diakses melalui website sehingga dapat mengakses infromasi data pembacaan sensor dari jarak jauh secara real.
Rancang Bangun Hand Sanitizer Otomatis Berbasis Mikrokontroler yang Dilengkapi dengan Sensor Ultrasonik dan Sensor MLX90614 Budiana Budiana; Sumantri Kurniawan Risandriya; Hasnira Hasnira; Nanta Fakih Prebianto; Ivan Carlos Hasangapon Panjaitan
JURNAL INTEGRASI Vol 15 No 1 (2023): Jurnal Integrasi - April 2023
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v15i1.5171

Abstract

The outbreak of COVID-19 pandemic has forced society to implement the Clean and Healthy Lifestyle, the one which is washing hands. Hand Sanitizer is an alternative product that could be used to clean hands, besides soap, from pathogenic microorganisms due to physical contact that we did throughout the day. However, it’s necessary to upgrade the working system from manual to automatic, so it would minimalize physical contact during the use. For example is by using Sensor Ultrasonic and IR Temperature Sensor MLX90614. These sensors which are connected to pump, will make an electric and automatic working system of Hand Sanitizer. As the methods, literature study and observation from previous researches/products would be the reference for the design and working system on this research. Eventually, it will help to reduce the spreading of coronavirus in society maximally.