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All Journal Elektron Jurnal Ilmiah IPTEK Journal of Proceedings Series ELINVO (Electronics, Informatics, and Vocational Education) JURNAL INTEGRASI JURNAL AKUNTANSI, EKONOMI dan MANAJEMEN BISNIS Journal of Applied Electrical Engineering Journal of Community Service and Empowerment Indo-MathEdu Intellectuals Journal Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Journal of Electronic and Electrical Power Application Journal of Applied Community Engagement (JACE) Jurnal Rekayasa Energi Recent in Engineering Science and Technology
Hasnira Hasnira
Politeknik Negeri Batam
Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Journal : JURNAL INTEGRASI

 1 
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.
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.
Prototype Sistem Elevator Menggunakan Motor Stepper Berbasis Atmega 16 Wicaksono, Muhammad Jaka Wimbang; Diono, Diono; Sani, Abdullah; Dzulfiqar, Mohamad Alif; Budiana, Budiana; Aryeni, Illa; Oktani, Dessy; Kamarudin, Kamarudin; Futra, Asrizal Deri; Darmoyono, Aditya Gautama; Mahdaliza, Rahmi; Hasnira, Hasnira; Maulidiah, Hana Mutialif; Gusnam, Mu'thiana
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.v15i2.6058

Abstract

Elevator are one of the most important transportation these days. Elevator is a link in a tall building that has many floors. The role of the elevator which is always used by the public requires a high level of precision. In this study, researchers made a prototype elevator system using a stepper motor and obtained test results with a maximum error rate of 2% on the 10 cm elevator input using a ruler as a testing tool. The largest comparison of testing result using a ruler and using a rotary encoder is 0.2 cm or 2 mm at the 40 cm elevator input. The precision of the elevator prototype still can be improved by using half step mode when controlling the stepper motor.
Rancang Bangun Digital Firing Angle Sebagai AC "“ AC Controller Untuk Alat Pengering Sepatu Dengan Metode Kontrol Proporsional Integral Nugroho, Mochamad Ari Bagus; Hasnira, Hasnira; Iraqi, Mohammad Zainul; Suhariningsih, Suhariningsih
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.v16i1.6595

Abstract

The rainy season is an obstacle for everyone, especially drying shoes, because rain can hinder the process of drying shoes. Currently, shoes are still dried using the conventional method, namely by utilizing the sun's heat. The next development is a system for drying shoes using gas fuel, but it has the potential for fire. In this final project, a shoe drying system is designed which is controlled using PI control according to a specified setpoint to dry shoes when exposed to rain or at night. To get the appropriate room temperature, the output voltage from the heater needs to be controlled using the Digital Firing Angle. The ignition angle is regulated by the Digital Firing Angle circuit. To maintain the temperature conditions in a stable condition, namely 65°C, this tool is controlled using PI (Proportional Integral) control. This dryer is designed for a maximum of 1 pair of wet shoes. With final humidity results in the drying room ≤ 20%RH. With this final project, it can dry shoes in rainy conditions in 94 minutes for synthetic leather shoes and 104 minutes for leather shoes.
Co-Authors Abdullah Sani Adi Sucipto, Adi Adlian Jefiza Ahmad Riyad Firdaus Aji Sanjaya Al-Tsurayya, Maw’Izhah Amiruddin Amiruddin Anang Tjahjono, Anang Anas, Awe Aerlend Putra ANUGERAH WIBISANA Arif Febriansyah Juwito Arif Wahyu Budiarto Aryeni, Illa B. Budiana Bambang Sumantri BASUKI, GAMAR Bismar Siregar, Bismar Budiana, Budiana Daniel Sutopo Pamungkas, Daniel Sutopo Darmoyono, Aditya Gautama Dhodit Rengga Tisna Didi Istardi Diono, Diono Eka Mutia Lubis Eko Rudiawan Jamzuri Ewaldo, Faieziel F Prebianto, Nanta Fauzun Atabiq Fitriyanti Nakul Fricilla Putri Futra, Asrizal Deri Gautama, Adytia Ginting, Pedro Imanuel Gozali, Muhammad Syafei Gusnam, Mu'thiana Handri Toar Hendawan Soebhakti Ika Karlina Laila Nur Suciningtyas Iraqi, Mohammad Zainul Irwanto Zarma Putra Ivan Carlos Hasangapon Panjaitan Kamarudin Kamarudin Kita, Lalu Kaisar Wisnu Lengkong, Marcel Loegimin, Maruto Swatara M. Prihadi Eko M. Ridwan Tikollah M. Syafei Gozali Mahdaliza, Rahmi Maulidiah, Hana Mutialif Mentari Putri Jati Mishthafiyatillah, Mishthafiyatillah MOCHAMAD ARI BAGUS NUGROHO Mochammad Ari Bagus Nugroho Mohamad Alif Dzulfiqar Mohammad Imron Dwi Prasetyo Muhammad Naufal Airlangga Diputra Muhammad Syafei Gozali Muhammad Zaenuddin Muslim Ansori Nabila Rahma Yusrilfa Trisyayanti Nanta Fakih Prebianto Novie Ayub Windarko Nuraisyiah, Nuraisyiah Oktani, Dessy Olfhie Stevani Pasaribu, Cindy Kristine Patabo , Muchdar Dg. Pitriani, Shelly Sri Putra, Berlian Juliartha Martin Putung, Yoice Qoriatul Fitriyah Rahmat Hidayat Rahmawati, Zahira Rifqi Aji Widarso Rifqi Amalya Fatekha Riska Analia Rofii' Haekal, Hadi Ryan Satria Wijaya S. Susanto Sani, Abdulah Saragi, Elsa Sawidin, Sukandar Senanjung Prayoga Setiawan, A. Rido Suhariningsih Sumantri Kurniawan Risandriya Tamara Maharani Tamara Maharani Tuwongkesong, Samsu Wicaksono, Muhammad Jaka Wimbang Widya Rika Puspita Yudiarta, Geri Yusiran Yusiran, Yusiran Zulmi, Muhammad Afif