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All Journal Mechatronics, Electrical Power, and Vehicular Technology Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Panrita Abdi - Jurnal Pengabdian pada Masyarakat Techne : Jurnal Ilmiah Elektroteknika Journal Technology and Implementation Bussines Kumawula: Jurnal Pengabdian Kepada Masyarakat Journal of Robotics and Control (JRC) Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi dan Terapan Bisnis Journal of Computer, Electronic, and Telecommunication (COMPLETE) BEMAS: Jurnal Bermasyarakat Jurnal Teknologi dan Terapan Bisnis BEGAWE: Jurnal Pengabdian Masyarakat
Lora Khaula Amifia
Institut Teknologi Telkom Surabaya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Nursing Social Sciences Other

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DESAIN DETEKSI KESALAHAN BATTERY MANAGEMENT SYSTEM MENGGUNAKAN ALGORITMA KALMAN FITER PADA MOBIL LISTRIK NASIONAL Amifia, Lora Khaula
Jurnal Teknologi dan Terapan Bisnis Vol 2 No 1 (2019): March
Publisher : AKADEMI KOMUNITAS SEMEN INDONESIA GRESIK

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Battery Management System (BMS) diperlukan dalam melindungi dan menjaga kinerja baterai dengan efisien. Arus, tegangan, dan suhu merupakan tiga parameter penting yang harus dijaga agar tidak terjadi overcurrent, overcharging, dan discharging yang terlalu lama karena dapat menyebabkan kebakaran. Agar hal tersebut tidak terjadi, maka diperlukan suatu proteksi dalam pengoperasian BMS pada mobil listrik. Penelitian ini mengoptimalkan kerja BMS ketika mengalami kesalahan agar dapat bekerja dengan baik. Baterai dimodelkan dengan model baterai sederhana (Rint) yang sebelumnya dilakukan identifikasi parameter dan kemudian dibentuk state space yang bertujuan untuk dibuat deteksi kesalahannya. Hasil penelitian menunjukkan bahwa overcurrent, dan overdischarge menggunakan algoritma Kalman Filter berdasarkan pemodelan baterai sangat reliable.
Comparative Study Between Internal Ohmic Resistance and Capacity for Battery State of Health Estimation Ramadan, M. Nisvo; Pramana, Bhisma Adji; Widayat, Sigit Agung; Amifia, Lora Khaula; Cahyadi, Adha; Wahyunggoro, Oyas
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 6, No 2 (2015)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (661.588 KB) | DOI: 10.14203/j.mev.2015.v6.113-122

Abstract

In order to avoid battery failure, a battery management system (BMS) is necessary. Battery state of charge (SOC) and state of health (SOH) are part of information provided by a BMS. This research analyzes methods to estimate SOH based lithium polymer battery on change of its internal resistance and its capacity. Recursive least square (RLS) algorithm was used to estimate internal ohmic resistance while coloumb counting was used to predict the change in the battery capacity. For the estimation algorithm, the battery terminal voltage and current are set as the input variables. Some tests including static capacity test, pulse test, pulse variation test and before charge-discharge test have been conducted to obtain the required data. After comparing the two methods, the obtained results show that SOH estimation based on coloumb counting provides better accuracy than SOH estimation based on internal ohmic resistance. However, the SOH estimation based on internal ohmic resistance is faster and more reliable for real application
PEMANFAATAN ROBOT CERDAS SATGAS COVID-19 SEBAGAI PELAYANAN ISOLASI MANDIRI WARGA DESA TEMBOK GEDE 3 SURABAYA Lora Khaula Amifia; Benazir Imam Arif Muttaqin; Anindya Rachma Dwicahyani; Irfansah Wardhana; Riyo Oktavian Pradana
Kumawula: Jurnal Pengabdian Kepada Masyarakat Vol 5, No 1 (2022): Kumawula: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Padjadjaran

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Abstract

Varian baru COVID-19 telah menyebabkan angka kematian akibat COVID-19 semakin meningkat dengan penyebaran dan penularan yang sangat cepat. Sebagai salah upaya untuk menfasilitasi warga yang sedang menjalani isolasi mandiri, diperlukan sebuah cara baru dalam pemenuhan logistik warga dengan prinsip minimasi kontak langsung. Robot Delta dikembangkan sebagai solusi dari hal tersebut. Robot Delta merupakan robot pintar dengan beberapa fungsi, yaitu menyemprotkan desinfektan, sosialisasi protokol kesehatan, dan pelayanan pengiriman logistik untuk warga yang sedang menjalani isolasi mandiri. Keberadaan robot ini dapat membantu warga dalam mengurangi risiko terpapar virus COVID-19. Robot ini memiliki fitur Internet of Things dengan menerapkan cara kerja yaitu belok kanan dan kiri, serta badan bagian atas mampu berputar sejauh +120o. Robot ini juga dilengkapi dengan audio yang dapat memutar informasi dan pengumuman penting bagi masyarakat. Tubuh robot terbentuk dari barang barang bekas seperti pot bunga, televisi, dan penanak nasi, di mana tubuh bagian atas berguna sebagai wadah logistik, baik makanan maupun obat-obatan, yang akan di antarkan ke rumah warga. Ruang pada bagian dasar robot diberi alat pompa air yang digunakan sebagai tanki disinfektan. Selain itu, Robot Delta juga menjadi semacam ‘trademark’ dengan daya tarik tersendiri bagi Kampung Pintar Tembok Gede sebagai salah satu Kampung Wisata Edukatif di Kota Surabaya.
Comparative Study Between Internal Ohmic Resistance and Capacity for Battery State of Health Estimation M. Nisvo Ramadan; Bhisma Adji Pramana; Sigit Agung Widayat; Lora Khaula Amifia; Adha Cahyadi; Oyas Wahyunggoro
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 6, No 2 (2015)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2015.v6.113-122

Abstract

In order to avoid battery failure, a battery management system (BMS) is necessary. Battery state of charge (SOC) and state of health (SOH) are part of information provided by a BMS. This research analyzes methods to estimate SOH based lithium polymer battery on change of its internal resistance and its capacity. Recursive least square (RLS) algorithm was used to estimate internal ohmic resistance while coloumb counting was used to predict the change in the battery capacity. For the estimation algorithm, the battery terminal voltage and current are set as the input variables. Some tests including static capacity test, pulse test, pulse variation test and before charge-discharge test have been conducted to obtain the required data. After comparing the two methods, the obtained results show that SOH estimation based on coloumb counting provides better accuracy than SOH estimation based on internal ohmic resistance. However, the SOH estimation based on internal ohmic resistance is faster and more reliable for real application
Battery Insulation Performance Analysis in Electric Vehicles for the Improvement of Battery Lifetime Lora Khaula Amifia; Nuansa Dipa Bismoko; Philip Tobianto Daely
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 3 (2021): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i3.22199

Abstract

The battery is the main component both as an energy provider and as an interface for several systems in an electric vehicle. It has three important parameters: current, voltage, and temperature that must be maintained as the battery can have a harmful reaction that can lead to overcurrent. The battery must also not overcharging or discharging for too long because it can cause damage and affect its lifetime. Another error that can arise is sensor failure due to the interference or noise that can cause an error in data reading. To prevent this problem, it needs protection by means of isolation in operating the battery. In this research, planning in optimizing battery work was conducted by designing the process of detection and isolation of faults that occurred in batteries, particularly lithium polymer battery to reach their more optimal and good performance. Battery modeling was needed as the parameter identification, and the Kalman Filter algorithm was applied to help to reduce the detection rate and fault isolation. The results of detection and isolation of overcurrent and sensor failure using Kalman Filter were found quite accurate. In overcurrent isolation, a discharge current of 6A was obtained from the maximum current limit of 10 A, and for sensor failure isolation, the Kalman Filter algorithm succeeded in improving the results of the previous reading.
Desain dan Modifikasi Perangkat Telepon Kabel Menjadi Alat Musik Mini Piano Dwi Edi Setyawan; Lora Khaula Amifia
Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Vol 8, No 1 (2019): Edisi Juni 2019
Publisher : Fakultas Teknik Elektro - Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/setrum.v8i1.5547

Abstract

Seiring dengan perkembangan teknologi telekomunikasi seluler, maka cepat atau lambat komunikasi via telepon kabel akan ditinggalkan oleh penggunanya. Meskipun demikian, perangkat telepon kabel dapat dimanfaatkan menjadi benda bernilai seni. Pada penelitian ini, perangkat telepon kabel dialihfungsikan menjadi alat musik sejenis mini piano. Secara spesifik, suara dering telepon dimodifikasi agar bisa diubah ubah frekuensi nada nya melalui media tombol hingga membentuk sebuah tangga nada. Suara dering telepon disesuaikan dengan 10 nada C, D, E, F, G, A, B, C’, D’ dan E’mengikuti standar frekuensi pada musik. Penelitian ini membahas mulai dari desain sistem, realisasi hingga uji coba. Berdasarkan hasil uji coba, alat musik mini piano layak digunakan dan dapat dipadukan dengan alat musik lain karena memiliki rata-rata selisih frekuensi sebesar 5,4 Hz atau kurang dari 10 Hz terhadap frekuensi standar pada musik. Karena desain sistem bersifat analog, maka mini piano berpotensi menghasilkan suara noise. Meskipun demikian, mini piano masih dapat dinyatakan layak, karena noise yang dihasilkan berada di luar rentang frekuensi audiosonik sehingga noise tidak dapat didengar oleh telinga manusia.
Online Battery Parameter And Open Circuit Voltage (OCV) Estimation Using Recursive Least Square (RLS) Harmoko Harmoko; Dani Prasetyo; Sigit Agung Widayat; Lora Khaula Amifia; Bobby Rian Dewangga; Adha Imam Cahyadi; Oyas Wahyunggoro
Techné : Jurnal Ilmiah Elektroteknika Vol. 15 No. 01 (2016)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.812 KB) | DOI: 10.31358/techne.v15i01.141

Abstract

After decades, the battery usage has been widespread for many applications, especially in the field of Electric Vehicle (EV). The battery is a very important component in the EV. Because the battery as the primary power source replacement of the fossil fuel. Therefore, the condition of the batteries should be always in good condition. To prevent failure of the battery for battery management system (BMS) is needed. BMS is a system to regulate the use of the battery and protects the battery from the failure of the battery supply. Many factors can be monitored at BMS, one of which is a State of Charge (SOC). SOC determination is directly related to the estimated OCV (Open Circuit Voltage). The accuracy of the estimation algorithms depend on the accuracy of the model selection to describe the dynamic characteristics of the battery. This study begins with the selection of the right model (fig.1, fig.2, fig.3) for estimating OCV. Selection of appropriate model using RLS algorithm for estimate the battery terminal voltage. Parameter that reference for determining the selection of the model is the max, min, mean, RMSE, mean RMSE of the error. Later models have been used to estimate the OCV. The result based on this research shows that modeling with n = 1 is the best result to be used in model parameter estimation and OCV battery in term of the smaller max, min, mean, rmse error. This research also show us that RLS algorithm can be estimate the parameters of the batery, OCV (fig.4), and terminal voltage of the battery with an error less than 0.1%
ANALISA STUDI TENTANG PERANCANGAN ALAT MONITORING KUALITAS AIR PDAM BERBASIS INTERNET OF THINGS : ANALYSIS STUDY: DESIGN OF LOCAL WATER SUPPLY QUALITY MONITORING USING INTERNET OF THINGS Anifatul Faricha; Dimas Adiputra; Isa Hafidz; Lora Khaula Amifia; Moch. Iskandar Riansyah
Jurnal Teknologi dan Terapan Bisnis Vol. 2 No. 1 (2019): Vol 2 No 1 (2019): Jurnal Teknologi dan Terapan Bisnis
Publisher : UPPM Akademi Komunitas Semen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.0301/jttb.v2i1.61

Abstract

Abstract Nowadays, as the gain of the global manufacturing technology, particularly at the industrial revolution 4.0, commonly it has also been increasing the amount of the waste products which directly impact and contaminate to the water quality. Hence, the water monitoring is required to maintain water’s quality whether it is safe or not, moreover at the local water supply utility (PDAM) which generally consumed by residents. Water quality monitoring becomes a vital issue and main concerns in these current days because the numbers of water resources are limited, whereas the total citizens in Indonesia are continuously increasing. Therefore, this study presents a review analysis about the design of water quality monitoring using the Internet of Things (IoT), which includes the key parameters selection at the water quality, proper sensors selection, and also IoT's platforms selection. Water quality monitoring will be acquired at several points in Surabaya using sensor array contain many sensors such as temperature sensors, turbidity sensors, conductivity sensors, and oxygen gas sensors. Then, data acquired from sensors are transmitted to the microcontroller which has the IoT module. Hence, information access from central to the user can be monitored, downloaded, or controlled everywhere and anywhere.
DESAIN DETEKSI KESALAHAN BATTERY MANAGEMENT SYSTEM MENGGUNAKAN ALGORITMA KALMAN FILTER PADA MOBIL LISTRIK NASIONAL Lora Khaula Amifia; Moch. Iskandar Riansyah; Isa Hafidz; Dimas Adiputra; Anifatul Faricha
Jurnal Teknologi dan Terapan Bisnis Vol. 2 No. 1 (2019): Vol 2 No 1 (2019): Jurnal Teknologi dan Terapan Bisnis
Publisher : UPPM Akademi Komunitas Semen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.0301/jttb.v2i1.63

Abstract

Electric cars are currently being developed by many people because of low pollution and many countries used them in their daily activity. One of the important and main component is a battery, especially the Battery Management System (BMS) which can optimize the implementation of electric cars. BMS can protect and maintain the battery performance efficiently and at the same time can be a fault detection. Basically, It has three important parameters, there are current, voltage, and temperature that must be maintained and there is no overcurrent, overcharging, and discharging for too long because it can cause a fire. The protection of the BMS on electric cars need battery testing and done by taking current and voltage data, which prioritizes discharging and overdischarging test with a capacity of 2,2 Ah or a maximum capacity of 4,2 Volt. This research optimizes the work of BMS when experiencing faults/errors in order to work properly. The battery is modelled with a simple battery model (Rint) which previously identified parameters and formed a state space that aims to make fault detection. The results showed that fault detection using the Kalman Filter algorithm is very efficient and reliable in improving readings of overcurrent and overdischarge data so as to maintain security and extend/lifetime battery so that it can be implemented safely by the public
Design of Logistic Transporter Robot System Lora Khaula Amifia; Mochammad Iskandar Riansyah; Putu Duta Putra
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 6, No 1 (2020): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v16i1.16750

Abstract

The diversity of technology in the robotics world is currently developing a lot, especially in logistics distribution. The distribution of logistics goods using robotic power continues to develop towards high artificial intelligence, ensuring warehouse delivery management and intelligence implementation with challenging tasks. Autonomous robots are a community of intelligent robotic systems that can be seen as prototypes. It is an intelligent management and service system of the future that can reveal some important traits of the next generation of smart robot communities. In the smart logistics industry, designing an efficient communication and management platform from logistics robots is one of the fundamental problems. This study aims to implement smart robots in assisting distribution / logistical activities by following humans in bringing goods to the intended area by following green objects.
Co-Authors Abdulloh Hamid Nushfi Adha Cahyadi Adha Cahyadi, Adha Adha Imam Cahyadi Adiputra, Dimas Aditya Yudhistira Ahmad Habibi Al Madani Kurniawan, Aqsha Alfian Ma’arif Anifatul Faricha Anindya Rachma Dwicahyani ANNISA SALSABILA Annisa'ul Baroroh Ardiansyah Al Farouq Aulia Rahma Annisa Benazir Imam Arif Muttaqin Bhisma Adji Pramana Bhisma Adji Pramana, Bhisma Adji Bily Montolalu Bobby Rian Dewangga Dani Prasetyo Dio Ifan Auliya Dwi Edi Setyawan Dwi Nur Azizah Hamidah DWI SURYANTO Fathul Yaqin, Moch. Fikry Furizal, Furizal Harmoko Harmoko Hernadimas Alfattah Irfansah Wardhana Isa Hafidz Khodijah Amiroh M. Nisvo Ramadan M. Nisvo Ramadan, M. Nisvo Maghfiroh, Hari Moch. Bagus Indrastata Moch. Fauzan Rasyid Moch. Iskandar Riansyah Mohammad Fahmi Ilmi Yogianto Muhammad Adib Kamali Nanda Mesa Nur Aryabawa Nilna Agnia Nisa Isrofi Nuansa Dipa Bismoko Oyas Wahyunggoro Philip Tobianto Daely Putu Duta Putra Riyo Oktavian Pradana Robin Addwiyansyah Alfaro Samrat Satria Fajar Rachmadianto Shinvalraus Sains Raihan Kanzu Sigit Agung Widayat Sigit Agung Widayat, Sigit Agung Suwarno, Iswanto Ully Asfari Zunaidi, Rizqa Amelia