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All Journal Mattawang: Jurnal Pengabdian Masyarakat Online Learning in Educational Research Teknovokasi : Jurnal Pengabdian Masyarakat Vokatek : Jurnal Pengabdian Masyarakat Information Technology Education Journal Journal of Embedded Systems, Security and Intelligent Systems Ininnawa: Jurnal Pengabdian Masyarakat Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Journal of Deep Learning, Computer Vision and Digital Image Processing Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Jurnal MediaTIK Journal of Computers, Informatics, and Vocational Education
Kurnia Prima Putra
Universitas Negeri Makassar
Humanities Computer Science & IT Economics, Econometrics & Finance Education Energy Engineering Environmental Science Public Health Social Sciences Other

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Journal : Journal of Embedded Systems, Security and Intelligent Systems

 1 
FEATURES SIMPLIFICATION USING CUBIC BEZIER PROPERTIES FOR GAIT RECOGNITION ON SMARTPHONE Kurnia Prima Putra; Marwan Ramdhany Edy; M. Syahid Nur Wahid; Muhammad Fajar B; Fadhlirrahman Baso
Journal of Embedded Systems, Security and Intelligent Systems Vol. 3 No. 1 (2022): Vol 3, No 1 (2022): May 2022
Publisher : Program Studi Teknik Komputer

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Abstract

Smartphone is widely used around the world. It’s user authentication usually used pin code, pattern code, fingerprint and conventional login authentication. This kinds of authentication mechanism is intrusive because those mechanisms requires users to give exclusive interaction for user authentication during the process. One of authentication method which is non-intrusive during data collection is authentication by using gait. This mechanism classified as non-intrusive because this mechanism could gather biometric data without being noticed by the authentication subjects. Since it is non-intrusive, this mechanism allows re-authentications without bothering the authentication subjects. One of the recent gait recognition is using accelerometer on smartphone to measure and capture acceleration data on gait. This method extract step cycles in various length, map and interpolate the data into higher sample count, and then use each of mapped and interpolated data as feature using recognition. Regardless the classification or recognition method, using each mapped and interpolated data as features would result in high processing time during classification or recognition due to high feature count. In this research, we try to simplify the features of gait data with minimum data loss so it might give robust result with less latency by aligning cubic Bezier curve to step cycle data and extracting the Bezier properties.
Metode Otomatis untuk Menghitung Sel Darah Merah Menggunakan Image Processing Muh. Dirgafa Anugra Rais; Fazli Arif; Muh. Fauzan Arifuddin; Maulana Muhammad; Andi Baso Kaswar; Kurnia Prima Putra
Journal of Embedded Systems, Security and Intelligent Systems Vol. 3 No. 2 (2022): Vol 3, No 2 (2022): November 2022
Publisher : Program Studi Teknik Komputer

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Abstract

Di seluruh dunia, kehidupan yang berbeda secara bertahap dipengaruhi oleh inovasi, dengan perawatan kesehatan menjadi area utama untuk perubahan ini. Memberikan perincian instan tentang riwayat kesehatan pasien meningkatkan kewaspadaan pasien melalui kebenaran diagnosis dan obat-obatan, kemampuan untuk berbagi informasi kesehatan kepada dokter yang berbeda, dan pengurangan kesalahan dan kesalahan yang ditemukan saat merekam data informasi kesehatan pasien melalui catatan manual. Sel darah merah atau eritrosit merupakan sel darah yang memiliki fungsi mengikat oksigen yang memiliki peran penting dalam proses oksidasi di jaringan tubuh. kemampuan afinitas oksigen terhadap eritrosit dikarenakan adanya hemoglobin. Perhitungan secara manual untuk mendeteksi kelainan darah dapat dilakukan menggunakan mikroskop, hemocytometer, dan hematology analyzer. Identifikasi penyakit menggunakan alat-alat tersebut masih memerlukan analisis lebih lanjut, sehingga memerlukan waktu yang cukup lama. Dari permasalahan tersebut penulis penulis mengusulkan Metode otomatis untuk menghitung sel darah merah dengan menggunakan segmentasi
Leveraging Cash Mobile-Based Application To Improve The Quality Of Mosque Financial Management System Putri Aggraeni; Eka Sabrina Mustakim; Raodatul Fadilah; Kurnia Prima Putra
Journal of Embedded Systems, Security and Intelligent Systems Vol. 4 No. 1 (2023): Vol 4, No 1 (2023): May 2023
Publisher : Program Studi Teknik Komputer

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Abstract

In the era of technological advancement, the need for ease in data processing has become crucial. Recording mosque funds is one area that requires accurate and reliable information, considering the various types of cash transactions managed by the mosque, such as zakat, sadaqah, infak, wakaf, and others. However, the majority of mosque financial managers still rely on manual methods for recording and calculating finances, using books as reporting tools. This method carries high risks of data and report loss, as well as inefficiency in terms of speed and transparency. Therefore, the "MyCash Masjid" application was developed as a solution to enhance the quality of mosque financial management systems. MyCash Masjid is an application that encompasses income data, expenditure data, data summaries, and comprehensive reports. The use of information technology in the form of this application is expected to provide an effective solution in managing and recording mosque finances, as well as facilitating financial reporting for mosque administrators.
Co-Authors Abd. Rahman Patta Adiba, Fhatiah Afdhaliyah, Mukhlishah Aidil Amri, Muhammad Akmal Hidayat Akmal Hidayat Aminuddin Bakry Amiruddin Ananda Fachrul, Nidya Ananta Dwi Prayoga Alwy Andi Baso Kaswar Andi Baso Kaswar Andi Nurul Izzah Andi Zulfikar Yususf Angraeni, Putri Arifiyanti, Fitria Arsyanda Aswariah, Ainil Auliya Putri, Andi Sri Badar, Putri Angraeni Baso, Fadhlirrahman Bukhari Naufal Nur Ag Daffa, Muhammad Dewi Fatmarani Surianto Dhia Rhania Edy, Marwan Ramdhany Eka Sabrina Mustakim Fadhilarahman Baso Fadhilarahman Baso Fadhlirrahman Baso Fadhlirrahman Baso Fatwa, Muhammad Fatwa Ma'arij Fazli Arif Firdaus Firdaus Gazali, Wilda Auliyah Insani, Al Fajrin Israwati Hamsar Jamaluddin Jamaluddin Jasruddin Jumadi Mabe Parenreng Jumadin M, Wahyu Hidayat M. Miftach Fakhri M. Syahid Nur Wahid M. Syahid Nur Wahid Marwan Ramdhani Edy Marwan Ramdhany Edy Marwan Ramdhany Edy Maulana Muhammad Muh. Bhilal Halim Muh. Bhilal Halim Muh. Dirgafa Anugra Rais Muh. Dirgafa Anugrah Rais Muh. Fauzan Arifuddin Muhammad Ansarullah S. Tabbu Muhammad Fajar B Muhammad Fajar B Muhammad hasim Muhammad Yahya Muliadi Muliadi Muliadi Mushaf Nur Annafiah Nuraisyar Aglaia, Alifya Nurdin Nurdin Nurul Amanda Pratiwi Hasbullah Pramudya Asoka Syukur Putri Aggraeni Putri Anggraeni Raodatul Fadilah Ridwan Daud Mahande Rifai Wadjidi, Abdul Rifal, Rifal Saharuna Sanatang Satria Gunawan Zain Setialaksana, Wirawan - Sulfahmi, Sulfahmi Syahrul Syukur, Pramudya Asoka Tasha Kurnia, Shahnaz Wahyu Hidayat M WAHYUDI Wahyuni, Maya Sari Wilda Auliyah Gazali