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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknik ITS TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal Technology and Implementation Bussines Jurnal Teknologi dan Terapan Bisnis Journal of Computer, Electronic, and Telecommunication (COMPLETE) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Algoritma Jurnal Teknologi dan Terapan Bisnis eProceedings of Engineering Innovative: Journal Of Social Science Research Telkatika: Jurnal Telekomunikasi Elektro Komputasi & Informatika
Anifatul Faricha
Institut Teknologi Telkom Surabaya
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Other

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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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.112 KB) | 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
Shannon entropy on near-infrared spectroscopy for nondestructively determining water content in oil palm Inna Novianty; Walidatush Sholihah; Gema Parasti Mindara; Muhammad Iqbal Nurulhaq; Anifatul Faricha; Rismen Sinambela; Pradeka Brilyan Purwandoko; Muhammad Achirul Nanda
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i5.pp5397-5405

Abstract

Indonesia is the world’s largest producer of palm oil. To preserve its competitive advantages, the Indonesian oil palm sector must expand high-quality palm oil output. In oil palm quality control, the water content is a crucial parameter as it can be used as a reference to determine the right harvest time. Thus, this study proposed a near-infrared (NIR) spectroscopy as a fast and non-destructive analysis to assess oil palm water content. NIR spectra were processed using Shannon entropy to describe the characteristics at each wavelength. In this study, oil palm fruit samples at various maturity levels were collected with eight different maturity fractions. Based on the analysis, the Shannon entropy value is closely related to any changes in the water content of palm oil. The entropy value has a decreasing trend as the water content increases. The proposed technique can predict the water content of an oil palm with satisfactory performance with values of 0.9746 of coefficient of determination (R2) and 2,487 of root mean square error (RMSE). Application of this model will lead to a fast and accurate prediction system related to oil palm water content.
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

Abstract

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.
The Comparative Study for Predicting Disease Outbreak faricha, anifatul; M. Achirul Nanda; Siti Maghfirotul Ulyah; Ni'matut Tamimah; Enny Indasyah; Robin Addwiyansyah Alvaro Samrat
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.v1i1.48

Abstract

To know the prediction of disease outbreak, proper predictive modeling is required to represent the dataset. This study presents the comparative predictive modeling for predicting disease outbreak using two models i.e., optimizable support vector machine (SVM) and optimizable gaussian process regression (GPR). The dataset used in this study contains three cases i.e., positive cases, recovered cases, and death cases. The dataset at each case is divided into training dataset for the training process and external validation dataset for the validation process. Based on the training process and validation process, the root mean square error (RMSE) at positive cases, recovered cases, and death cases using optimizable GPR is substantially more effective for prediction than the optimizable SVM. According to the result performance, by applying optimizable GPR, the training process has the average RMSE of 19.54 and the validation process has the average RMSE of 15.85.
Robot Logistik Berbasis IoT untuk Pengiriman Obat dan Monitoring Pasien Secara Otomatis Yani, Mohamad; Faricha, Anifatul; Rasmana, Susjianto Tri; Akbar, Achmad Syiham; Rizky, Khoiril; Putra, Aditya Firmanda; Syauqi, Fattah Rafif; Subayu, Achmad; Naafilaturrosyidah; Hasintongan, Ferdinand Ronald
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.2318

Abstract

Kebutuhan akan otomatisasi layanan kesehatan mendorong pengembangan robot logistik berbasis Internet of Things (IoT) untuk pengiriman obat-obatan dan pemantauan pasien, khususnya pada kasus penyakit menular. Studi ini mengembangkan prototipe robot layanan rumah sakit dengan sistem navigasi differential drive dan algoritma Region-Reaching Control (RRC) guna memastikan pergerakan presisi dalam lorong sempit. Robot mendukung dua mode navigasi, yaitu manual melalui remote control dan otomatis berbasis area target. Hasil simulasi menunjukkan bahwa pendekatan RRC mampu menurunkan Mean Absolute Error (MAE) posisi hingga 0.135 m pada su`mbu x dan y, serta MAE orientasi 0.095 m pada sumbu (yaw) sebesar 0.178 rad, jauh lebih kecil dibanding kendali PD konvensional. Sistem komunikasi wireless menunjukkan waktu respon rata-rata 120–940 ms, dengan jangkauan efektif mencapai 80 meter di ruang terbuka dan 40 meter di ruang tertutup. Integrasi kamera omni-infrared dan kontrol jarak jauh memungkinkan operasional tanpa kontak langsung dengan pasien. Dengan akurasi tinggi dan fleksibilitas kontrol, prototipe ini menawarkan solusi efisien dan adaptif untuk distribusi logistik medis, sekaligus meningkatkan keselamatan tenaga kesehatan di lingkungan berisiko tinggi.
Pengembangan Aplikasi First Person Shooter (Fps) Sebagai Simulasi Latihan Tembak Berbasis Virtual Reality Anaking, Purnama; Abdillah, Rosyid; Faricha, Anifatul; Rahmawati, Dewi; Ulfadilah, Anisa; Aditya Nugroho, Dito; Laridho Sembiring, Lorenzo
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 7 (2025): JPTI - Juli 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.748

Abstract

Pelatihan menembak merupakan bagian penting dalam pengembangan keterampilan personel militer. Namun, penggunaan senjata asli dalam latihan memiliki risiko yang tinggi dan biaya operasional yang besar. Teknologi Virtual Reality (VR) menawarkan alternatif berupa simulasi pelatihan yang aman, efisien, dan imersif. Penelitian ini bertujuan mengembangkan aplikasi simulasi latihan tembak menggunakan pendekatan First Person Shooter (FPS) berbasis VR. Metode pengembangan yang digunakan adalah Multimedia Development Life Cycle (MDLC), yang meliputi enam tahap: concept, design, material collecting, assembly, testing, dan distribution. Aplikasi yang dibangun menyediakan tiga level kesulitan (easy, normal, hard) dan diuji menggunakan metode black-box dengan partisipasi atlet tembak dan pengguna gamer. Hasil pengujian menunjukkan bahwa aplikasi mampu menstimulasikan pengalaman latihan menembak secara realistis dan responsif. Penelitian ini berkontribusi dalam menyediakan alternatif pelatihan menembak yang adaptif dan berbiaya rendah, serta memiliki potensi untuk diterapkan dalam pelatihan militer atau olahraga tembak.
Analysis of Solar Powered Charging Station with Offgrid System for Two-Wheeled Electric Vehicle Needs at Telkom University Surabaya Rifki Dwi Putranto; Hafidz, Isa; Faricha, Anifatul
Innovative: Journal Of Social Science Research Vol. 5 No. 4 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i4.20164

Abstract

This study focuses on the analysis of the needs and determination of the capacity of the solar power plant (PLTS) components used as an energy source at a public electric vehicle charging station (SPKLU) or often called a charging station to charge electric motorbike batteries at Telkom University Surabaya. Calculations are carried out to obtain: the area of ​​the solar module, the power required, the number of solar modules, the MPPT capacity, the backup battery, and the duration of charging the electric vehicle. The research method used is a research method with an approach calculation by comparing several similar references related to planning in building a PLTS with an offgrid system. The battery data collection method is carried out by observation, literature study and collection of weather condition data through the East Java BMKG. The results of the study show that with a solar intensity of Gav 4.32 kWh / m2 / day, a module array area of ​​5,268.3 m2 is required. With a sunlight intensity of 1000 W / m2, the power generated by the area is 1,053 Wp. The solar panel specifications use 375 WP, with a total of 3 panels arranged in series. The system can produce 1,122.98 Wp of power. The SCC produces 15.59 A. The charging time required is 7 hours and 30 minutes. Keyword: Battery, Charging Station, Electric Vehicle, PLTS
PENGEMBANGAN VENDING MACHINE OBAT DENGAN SISTEM DETEKSI BERBASIS MIKROKONTROLER tsani, naufal tsani firjatulloh; Faricha, Anifatul; Adiputra, Dimas
Telkatika: Jurnal Telekomunikasi Elektro Komputasi & Informatika Vol. 4 No. 2 (2025): Juni 2025
Publisher : Perpustakaan Universitas Telkom

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

Abstract

Penelitian ini membahas perancangan dan pengujian Sistem Refrigerasi Kompresi Uap (SRKU) sebagai pendingin kondensor pada ekstraktor soxhlet. Latar belakang penelitian adalah perlunya sistem pendingin yang efisien dan berkelanjutan untuk proses ekstraksi yang berlangsung secara kontinu. Metode yang digunakan meliputi desain dan perakitan SRKU, pengujian performa menggunakan beban panas dari heater, serta verifikasi kinerja melalui aplikasi pada sistem soxhlet dengan pelarut etanol. Parameter utama yang diukur meliputi kapasitas pendinginan (Q), Coefficient of Performance (COP),laju produksi kondensat,dan Specific Energy Consumption (SEC). Hasil pengujian menunjukkan bahwa SRKU mampu menghasilkan kapasitas pendinginan 100–140 W, yang cukup untuk melawan panas yang dihasilkan dari pemanas soxhlet sebesar 100 W. Nilai COP meningkat saat laju aliran air diturunkan, sedangkan laju produksi kondensat optimal terjadi pada set point suhu menengah. Hasil laju produksi kondensat yang mempunyai hasil terbaik pada suhu menengah Kesimpulan utama adalah bahwa SRKU yang dirancang dapat diintegrasikan dengan sistem soxhlet dan memiliki kinerja yang memadai untuk kebutuhan pendinginan, serta berpotensi untuk dikembangkan lebih lanjut. Kata   kunci: motor DC, pelayanan kesehatan, rotary encoder, sensor ultrasonik, vending machine obat  
Monitoring dan Klasifikasi Kualitas Penyaringan Air Pada Budidaya Ikan Nila Menggunakan Internet of Things dan Fuzzy Logic Ma'ruf Firmansyah, Muhammad; Faricha, Anifatul; Widyantara, Helmy
eProceedings of Engineering Vol. 12 No. 5 (2025): Oktober 2025
Publisher : eProceedings of Engineering

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

Abstract

Budidaya ikan nila merupakan salah satu sektor perikanan air tawar yang memiliki prospek ekonomi tinggi di Indonesia. Keberhasilan budidaya sangat dipengaruhi oleh kualitas air yang digunakan, khususnya pada parmeter suhu, pH, dan kadar amonia. Kualitas air yang tidak sesuai dapat menyebabkan stres, penurunan produktivitas, bahkan kematian pada ikan. Penelitian ini bertujuan untuk merancang sistem monitoring dan klasifikasi kualitas air pada kolam ikan nila secara otomatis menggunakan teknologi Internet of Things (IoT) dan metodelogika fuzzy mamdani. Sistem ini memanfaatkan sensor suhu DS18B20, sensor pH, dan sensor TGS2602 untuk mengukur kadar amonia. Data dari sensor dikirim secara nirkabel menggunakan NodeMCU ESP8266 dan ditampilkan pada aplikasi smartphone berbasis kodular. Selanjutnya, logika fuzzy mamdani digunakan untuk mengklasifikasikan kualitas air menjadi tiga kategori: baik, sedang, dan buruk. Output dari klasifikasi digunakan untuk mengendalikan aktuator berupa motor servo sebagai respon terhadap kondisi air. Hasil pengujian menunjukkan bahwa sistem dapat memantau kualitas air secara real-time, memberikan klasifikasi yang sesuai, dan membantu menjaga kolam budidaya tetap optimal. Dengan sistem ini, pembudidaya dapat meminimalisir risiko gagal panen akibat penurunan kualitas air. Kata kunci : Budidaya ikan nila, kualitas air, monitoring, Fuzzy mamdani, Internet of Things.
Co-Authors Abdulloh Hamid Nushfi Adiputra, Dimas Aditya Nugroho, Dito Akbar, Achmad Syiham Arif, Rangga R. Christopher Andreas DEWI RAHMAWATI Djoko Purwanto DWI SURYANTO Gema Parasti Mindara Hasintongan, Ferdinand Ronald Hawwin Mardhiana Helmy Widyantara Ilma Amira Rahmayanti Indasyah, Enny Inna Novianty Isa Hafidz Laridho Sembiring, Lorenzo Lora Khaula Amifia M. Rivai Ma'ruf Firmansyah, Muhammad Moch. Bagus Indrastata Moch. Fauzan Rasyid Moch. Iskandar Riansyah Moh. Yani Muhammad Falahudin Malich Salaz Muhammad Rivai Naafilaturrosyidah Nanda, Muhammad Achirul Ni'matut Tamimah Ni'matut Tamimah Nurulhaq, Muhammad Iqbal Pradeka Brilyan Purwandoko Purnama Anaking Putra, Aditya Firmanda Putranto, Rifki Dwi Qurrotun 'Ayun Mawadatur Rohmah Rasmana, Susjianto Tri Rifki Dwi Putranto Rika Susanti Rismen Sinambela Rizki Anhar R.P. Rizky, Khoiril Robin Addwiyansyah Alvaro Samrat Rosyid Abdillah Sholihah, Walidatush Siti Maghfirotul Ulyah Subayu, Achmad Suwito Suwito Syauqi, Fattah Rafif tsani, naufal tsani firjatulloh Ulfadilah, Anisa Ulfah Abqari