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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 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

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

Direct Comparison using Coulomb Counting and Open Circuit Voltage Method for the State of Health Li-Po Battery Lora Khaula Amifia
Journal of Robotics and Control (JRC) Vol 3, No 4 (2022): July
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i4.15515

Electric cars have undergone many developments in the current digital era. This is to avoid the use of increasingly scarce fuel. Recent studies on electric cars show that battery estimation is an interesting topic to be implemented directly. The battery estimation strategy is carried out by the Battery Management System (BMS). BMS is an indispensable part of electric vehicles or hybrid vehicles to ensure optimal and reliable operation of regulating, monitoring, and protecting batteries. A reliable BMS can extend battery life by setting voltage, temperature, and charging and discharging current limits. The main estimation strategy used by BMS is battery fault, SOH, and battery life. Battery State of Health (SOH) is part of the information provided by the BMS to avoid battery damage and failure. SOC is the proportion of battery capacity SOH is a measure of battery health. This study aims to develop a method for estimating SOH simultaneously using Coulomb Counting and Open Circuit Voltage (OCV) algorithms. The battery is modeled to obtain battery parameters and components of internal resistance, capacitance polarization and OCV voltage source. Several tests were implemented in this research by applying the constant current (CC)-charge CC-discharge test. The state-space system is then formed to apply the Coulomb Counting and OCV algorithms so that SOH can be estimated simultaneously. The OCV-SOC function is obtained in the form of a tenth order polynomial and the battery model parameters say that these parameters change with the health of the battery. The results of the model validation are able to accurately model the battery with an average relative error of 0.027%. Coulomb Counting resulted in an accurate SOH estimation with an error of 3.4%.

PENERAPAN PANEL SURYA UNTUK MENDUKUNG BUDIDAYA IKAN BERBASIS INTERNET OF THINGS DI KAMPUNG OASE ONDOMOHEN Lora Khaula Amifia; Bily Montolalu; Ully Asfari; Mohammad Fahmi Ilmi Yogianto; Hernadimas Alfattah; Annisa Salsabila
Abdimas Galuh Vol 4, No 2 (2022): September 2022
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v4i2.8574

Sektor perekonomian dan pariwisata di daerah kawasan Surabaya saat ini semakain banyak yang berkembang dan dikenal oleh masyarakat nasional bahkan sampai mancanegara. Kampung Oase Ondomohen adalah salah satu kampung wisata binaan Pemerintah Kota Surabaya dan Institut Teknologi Telkom Surabaya yang sebelumnya masih memiliki beberapa permasalahan. Salah satu produk yang dapat dikembangkan di kampung ini adalah panel surya dan budidaya ikan di parit kampung. Berbagai macam ikan telah berhasil di budidaya dan berhasil juga dijual ke beberapa resto di Surabaya, sebagai mata pencaharian tambahan masyarakat. Hal tersebut dimanfaatkan dengan baik oleh warga untuk meningkatkan produktivitas masyarakat. Alternatif solusi berdasarkan lingkup permasalahan yang ada diambil dari aspek produktivitas energi. Berkaitan dengan hal tersebut, maka solusi telah di implementasikan adalah menyediakan teknologi proses pengembangan teknologi panel surya atau pembuatan kembali panel surya demi membantu produktivitas masyarajat sehari-hari dalam hal budidaya ikan dimana penerapannya dikembangkan dengan IPTEK berupa Internet of Things sebagai upaya monitoring. Penambahan IoT memudahkan penguna dalam mengetahui kondisi kestabilan tegangan untuk mendukung proses monitoring. Setelah teknologi tepat guna didifusikan, dilakukan pendampingan dengan mitra untuk memaksimalkan prinsip kerjanya. Implementasi ini telah berhasil meningkatkan sektor ekonomi dan pariwisata mitradengan mengutamakan keterampilan penerapan teknologi proses produksi. Panel surya telah berhasil menyediakan listrik secara hybrid yang dilakukan pada saat siang hari.

PENINGKATAN KAPASITAS DENGAN PENERANGAN JALAN UMUM TENAGA SURYA BERBASIS ICT DI DESA NGENI Lora Khaula Amifia; Dimas Adiputra; Isa Hafidz; Khodijah Amiroh; Ardiansyah Al Farouq; Robin Addwiyansyah Alfaro Samrat; Aditya Yudhistira; Ahmad Habibi
Panrita Abdi - Jurnal Pengabdian pada Masyarakat Vol. 6 No. 4 (2022): Jurnal Panrita Abdi - Oktober 2022
Publisher : LP2M Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/pa.v6i4.18122

The Ngeni Village community is a productive economic community with various sources of income. However, in this village, there are still fundamental problems. The main problem is accessing clean water and the lack of public street lighting. Two aspects of the problem in the community service activities have been carried out. The first aspect is about access to clean water, and this activity was implemented in 2020. The second aspect is the lack of public street lighting on the streets of Ngeni Village. Therefore, the service team has implemented appropriate science and technology to be utilized by the community, namely making solar street lighting. The purpose of this service activity is to build solar-powered public street lighting and provide ICT technology skills training so that people can be skilled in using ICT technology for their daily needs. The transfer of appropriate technology knowledge given to the community is hoped that the community can make their solar street lighting independently and can carry out maintenance independently in the future. The method applied in this activity is the Quantitative Method Approach, which emphasizes the in-depth understanding of a problem and is assisted by in-depth analysis techniques. The result of this activity is that 87 people attended the training well, and 20 expert teams succeeded and are skilled in advanced training by utilizing ICT technology as an alternative to solar-powered street lighting (PJU) at night. --- Masyarakat Desa Ngeni adalah masyarakat ekonomi produktif dengan berbagai sumber pendapatan yang dicapai. Akan tetapi, di Desa ini masih terdapat permasalahan yang mendasar. Masalah utamanya adalah sulitnya akses air bersih dan minimnya penerangan jalan umum. Terdapat dua aspek permasalahan dalam kegiatan pengabdian masyarakat yang telah dilakukan. Aspek pertama adalah tentang akses air bersih dan kegiatan ini telah di implementasikan pada 2020. Aspek kedua adalah minimnya penerangan jalan umum di jalan-jalan Desa Ngeni. Oleh karena itu, tim pengabdi telah menerapkan IPTEK yang tepat guna sehingga dapat dimanfaatkan oleh masyarakat dengan maksimal, yakni membuat penerangan jalan umum tenaga surya. Tujuan dari kegiatan pengabdian ini adalah melakukan pembangunan penerangan jalan umum bertenaga surya serta memberikan pelatihan keterampilan teknologi ICT sehingga masyarakat dapat terampil dalam pemanfaatan teknologi ICT untuk kebutuhan sehari-hari. Transfer ilmu teknologi tepat guna yang diberikan ke masyarakat harapannya agar masyarakat dapat membuat penerangan jalan umum tenaga surya sendiri secara swadaya dan dapat melakukan maintenance secara mandiri di masa depan. Metode yang diterapkan dalam kegiatan ini adalah Pendekatan Metode Kuantitatif dengan menekankan pada aspek pemahaman secara mendalam terhadap suatu masalah yang dibantu dengan teknik analisis mendalam (in-depth analysis). Hasil dari kegiatan ini adalah sejumlah 87 msyarakat mengikuti pelatihan dengan baik dan 20 tim ahli telah berhasil dan terampil dalam pelatihan lanjutan dengan memanfaatkan teknologi ICT sebagai alternatif penerangan jalan umum (PJU) bertenaga surya pada malam hari.

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 : Program Studi Teknologi Informasi

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 : Program Studi Teknologi Informasi

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

Implementasi akuaponik sebagai upaya urban farming pada lahan kosong di lingkungan RT9 RW9 Pepelegi Sidoarjo Rizqa Amelia Zunaidi; Aulia Rahma Annisa; Lora Khaula Amifia; Nilna Agnia; Dwi Nur Azizah Hamidah; Nanda Mesa Nur Aryabawa; Dio Ifan Auliya
BEMAS: Jurnal Bermasyarakat Vol 4 No 2 (2024): BEMAS: Jurnal Bermasyarakat
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/bemas.v4i2.778

Urban farming di Sidoarjo dirasa tepat oleh Menteri Pertanian Syahul Yasin Limpo dikarenakan selain menjaga ketahanan pangan nasional, bisa juga digunakan untuk menyiasati penyusutan lahan tiap tahun yang diganti dengan industri. Menurut Bupati Sidoarjo, masyarakat banyak meninggalkan sektor pertanian dan memilih lahannya dijual dan untuk dijadikan beton yang menghasilkan banyak uang dibandingkan untuk pertanian. Di samping itu, seiring dengan inisiatif dari pemerintah provinsi Jawa Timur untuk memperkuat pelaksanaan program Jatim Agro, yang merupakan bagian dari Bhakti ke-6, bertujuan untuk memajukan berbagai sektor, salah satunya pertanian dan perikanan dengan pendekatan berbasis masyarakat. Oleh sebab itu, di RT09 RW09, Desa Pepelegi, Kecamatan Waru, diperlukan urban farming yang bertujuan untuk meningkatkan ketahanan pangan warga dan juga untuk pemanfaatan lahan kosong yang hanya digunakan untuk menanam sayuran saja, seperti kemangi, bayam, tomat, dan lainnya. Akuaponik bisa menjadi solusi alternatif untuk mengatasi masalah diatas. Oleh sebab itu, kegiatan pengabdian masyarakat ini berfokus untuk meningkatkan kompetensi masyarakat RT09 RW09, Desa Pepelegi, dan memanfaatkan lahan umum untuk kesejahteraan bersama melalui pembuatan akuaponik. Nantinya hasil tanaman maupun peternakan ikan akuaponik dapat dikemas dan dijual untuk menambah kas warga. Luaran dari kegiatan pengabdian masyarakat ini adalah implementasi sistem akuaponik terpadu dan juga peningkatan kompetensi warga melalui pelatihan dan pendampingan

Evaluating the Battery Management System's Performance Under Levels of State of Health (SOH) Parameters Amifia, Lora Khaula; Kamali, Muhammad Adib
Journal of Robotics and Control (JRC) Vol 4, No 6 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i6.20401

Batteries in electric vehicles are the primary focus battery health care. The Battery Management System (BMS) maintains optimal battery conditions by evaluating the system's Htate of health (SOH). SOH identification can recommend the right time to replace the battery to keep the electric vehicle system working optimally. With suitable title and accuracy, the battery will avoid failure and have a long service life. This research aims to produce estimates and identify SOH parameters so that the performance of the battery management system increases. The central parameter values obtained are R0, Rp, and Cp based on Thevenin battery modeling. Then, to get good initialization and accurate results, the parameter identification is completed using an adaptive algorithm, namely Coulomb Counting and Open Circuit Voltage (OCV). The two algorithms compare the identification results of error, MAE, RSME, and final SOH. The focus of this research is to obtain data on estimation error values along with information regarding reliable BMS performance. The performance of the current estimation algorithm is known by calculating the error, which is presented in the form of root mean square error (RMSE) and mean absolute error (MAE). The SOH estimation results using Coulomb Counting have a better error than OCV, namely 1.770%, with a final SOH value of 17.33%. The Thevenin battery model can model the battery accurately with an error of 0.0451%.

Design Configuration of Water Quality Monitoring System in Surabaya: Design Configuration of Water Quality Monitoring System in Surabaya Anifatul Faricha; Dimas Adiputra; Isa Hafidz; Moch. Iskandar Riansyah; Lora Khaula Amifia; Moch. Fauzan Rasyid; Moch. Bagus Indrastata; Abdulloh Hamid Nushfi
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 1 No. 1 (2020): July
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v1i1.43

Water have been important needs for human life in many sectors such as in industry, agriculture, and household that its quality must be conserved so is in Surabaya city. The quality of water could influence the quality of human life directly, thus it is important to have an integrated water quality monitoring system. Information regarding water quality monitoring such as pH, dissolved oxygen, turbidity, and conductivity were collected to produce a periodic decision for controlling, analyzing, and fixing the condition of the water. This paper proposed a design configuration of water quality monitoring system for tap water in Surabaya. First, a comparison study of water quality monitoring technology in terms of area, parameter, and methodology from the previous researchers is presented. From the study, the design configuration of water quality monitoring system to be implemented in Surabaya is concluded. The data collection method is better to be done by using Internet of Things (IoT) technology where it is possible to do multiple data type and multiple point real-time data collection throughout the water distribution network remotely.

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