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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Reconfigurable and Embedded Systems (IJRES) Semantik Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Seminar Nasional Informatika (SEMNASIF) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) Jurnal Abdi Insani Madani : Indonesian Journal of Civil Society Journal of Applied Data Sciences Prosiding Konferensi Nasional PKM-CSR eProceedings of Applied Science eProceedings of Engineering Community Service Seminar and Community Engagement (COSECANT) Jurnal Rekayasa elektrika Jurnal INFOTEL
Indrarini Dyah Irawati
Telkom University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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Journal : Journal of Applied Data Sciences

 1 
CS-based Lung Covid-Affected X-Ray Image Disorders Classification using Convolutional Neural Network Triasari, Biyantika Emili; Budiman, Gelar; Maidin, Siti Sarah; Jaya, M. Izham; Hariyani, Yuli Sun; Irawati, Indrarini Dyah; Zhao, Zhong
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.371

Abstract

Lung diseases, such as pneumonia, significantly affect the respiratory system, especially the lungs. This condition causes various degrees of lung damage in patients of all age groups, including the elderly, adults, and children. Even after treatment and recovery, diagnosing lung damage remains important, which can be done using rapid tests, clinical evaluations, CT scans, or X-rays. This study focuses on the classification of X-ray images of lungs affected by pneumonia and normal lungs, using the Convolutional Neural Network method based on Compressive Sensing (CS) simulated using MatLab. The purpose of the study is to determine the performance by calculating the confusion matrix value. The number of datasets used for normal lungs and those affected by pneumonia is 300 X-ray images from several different sources, with 60% training data, 30% validation, and 10% testing. The addition of the compression process causes a decrease in image quality, expressed in PSNR, as well as a decrease in classification parameters such as accuracy. Compared with previous research, the system without compression produces the highest accuracy. The results of the study can help classify lungs affected by pneumonia.
Lora Communication System for Early Detection and Monitoring of Water Toxicity in Floating Net Cages Rahmafadilla, Rahmafadilla; Irawati, Indrarini Dyah; Rizal, Mochammad Fahru; Maidin, Siti Sarah
Journal of Applied Data Sciences Vol 6, No 3: September 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i3.787

Abstract

Floating Net Cages/ Keramba Jaring Apung (KJA) are at risk of polluting the air, which can affect fish farming. Therefore, an early monitoring system is needed that can measure air quality such as temperature, pH, and dissolved oxygen (DO) in real-time. This system utilizes the LoRa RFM95W module to wirelessly transmit environmental data from sensors installed on the cages, which continuously monitor water quality parameters such as temperature, pH, and DO in real-time. The data obtained is then processed to monitor changes in water toxicity in real-time, allowing early detection of potential threats to the ecosystem. Tests were conducted at distances of 50m, 180m, 300m, 340m, and 440m. The results showed that the system worked well up to a distance of 300m with RSSI values between -85 dBm to -120 dBm and SNR more than 2 dB. However, at distances of 340m and 440m, the signal decreased and the delay increased. At a depth of 340m, only one experiment was successful with RSSI -134 dBm and SNR -6 dB, while at a depth of 440m, only a few experiments were successful with RSSI between -122 dBm to -132 dBm and SNR between 1 dB to -6 dB. The prototype system successfully transmitted real-time air quality data to a web-based monitoring center. Data from the sensors were sent via the LoRa network to a central server for further monitoring.
Co-Authors ., Ridwan A. V. Senthil Kumar Abi Hakim Amanullah Adi Arief Wicaksono ADIANGGIALI, ANYELIA Afandi, Mas Aly Akhmad Alfaruq Akhmad Hambali Alfaruq, Akhmad Andri Juli Setiawan Anggun Fitrian Isnawati Anwar Muqorobin Aprilia, Rizky Arfianto Fahmi Arif Indra Irawan ARIS HARTAMAN Ary Nugroho, Bambang Asep Mulyana Ayu Irmawati Bagus Budi Wibowo Bayu Erfianto Dadan Nur Ramadan Didi Supriyadi Dzikri Fajduani, Fazrian Ezi Rohmat Fadilla , Rahma Fairuz Azmi Fajrul Falaah, Alif Fandi Fachrulrozi, Muhammad Gabriel Sabadtino Siahaan Gelar Budiman Gita Indah Hapsari Hadjwan, Razel Hafidudin . Hanan Lutfianto, Naufal Ibnu Syahban M, Novaldi Inung Wijayanto Istikmal Ivosierra Andrea Larasaty Jaya, M. Izham Justisia Satiti Larasaty, Ivosierra Andrea LATIP, ROHAYA Leanna Vidya Yovita Lenna Vidya Yovita Lionel Saonard, Aldo Lutvi Murdiansyah Murdiansyah Maidin, Siti Sarah Miftahul Khairat Sukma Muh. Kurniawan, A. Muhamad Roihan Muhammad Dimas Arfianto Muhammad Dimas Arfianto, Muhammad Dimas Muhammad Iqbal Musyaffa, Nadhif Athallah Natia Pradnyaswari, Luh Gede Nita Laananila, Grace Nur Ramadhan, Dadan Nurwan Reza Fachrurrozi Nyoman Karna, Nyoman Paundra Aldila Pradana, Gde Agus Wira Satria Pradika Caesarizky Kurniahadi Prayoga, Andry Priawan, Agi Rahmafadilla, Rahmafadilla Ramadhan, adan Nur Ramdani, Ahmad Zaky Rassem, Taha H. Rasyidah, - Rendy Munadi Reni Dyah Wahyuningrum Ridha Muldina Negara Ridwan . Rita Purnamasari Rizal, Mochammad Fahru Rizky Aulia Rahman ROHMAT TULLOH Roykhan Sukma, Hanif Sandova, Fisal Oktafian Penta Sandy Purniawan Santosa, Harjono Priyo Sasmi Hidayatul Yulianing Tyas Shahreen Kasim, Shahreen Shiddiq, Rama Wijaya Silvia, Helen Siti Sarah Maidin Siti Zahrotul Fajriyah Sofia Naning Hertiana Suci Alfi Syahri Tune, Andi Suci Aulia Sugeng Santoso Sugondo Hadiyoso Susi Susanti Suyatno Suyatno Syifa Nurgaida Yutia Tasya Chairunnisa Tita Haryanti Triasari, Biyantika Emili Uwais Razaqtana, Muhammad Vivi Monita Wartingrum, Nadia Wijanarko, Sulistyo Yudha Purwanto Yudiansyah Yudiansyah YULI SUN HARIYANI Zamri, Nurul Aqilah Zero Fomandes, Muhammad Zhao, Zhong