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Aplikasi Pengenalan Pola Penyakit Kulit Menggunakan Algoritma Linear Discriminant Analysis ST. Aminah Dinayati Ghani; Indo Intan; Nur Salman
CogITo Smart Journal Vol. 8 No. 1 (2022): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v8i1.365.206-218

Abstract

Sometimes, someone underestimates to check up skin disease unless the disease has affected his face or body in severe condition. The checkup fees for skin diseases are relatively expensive because they require a specialist. While the reach of society, in general, is the lower community. The purpose of this study is to bridge the gap between the patient and the examination of the disease based on the patient's skin image. The methods used in feature extraction and classification are Linear Discriminant Analysis LDA and Euclidean Distance respectively. LDA performs image feature extraction through a matrix operation process and distinguishing features in the same class and different classes. Classification will give the output of disease: abscess, eczema, ringworm, and urticaria. The accuracy results obtained are 80%. The next research is on adding features in the form of skin color so that it can be an input feature in the image as well as to improve its performance in the future. This application can be an alternative initial checkup for patients. It will detect the type of skin disease be suffered before consulting an expert.
PEMBUATAN WEBSITE PERSONAL GURU SEBAGAI PENDUKUNG LEARNING MANAGEMENT SYSTEM UNTUK MENINGKATKAN KOMPETENSI GURU DALAM MENGELOLA PEMBELAJARAN Nurdin Nurdin; Indo Intan
JMM (Jurnal Masyarakat Mandiri) Vol 6, No 3 (2022): Juni
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v6i3.8420

Abstract

Abstrak: Pandemic COVID-19 menjadi momentum untuk meningkatkan kompetensi guru pada pengelolaan Learning Management System. Setelah New Normal maka pembelajaran daring tetap menjadi partner pembelajaran luring. Pengelolaan pembelajaran dan publikasi informasi mitra belum berjalan secara serentak dan terpadu. Sistem pembelajaran menerapkan Google Classroom, akan tetapi publikasi informasi sekolah dikomunikasikan hanya melalui media sosial seperti Facebook, Instagram dan WhatsApp. Legitimasinya tentu kurang dari segi konten dan legalitas secara publikasi TIK. Di lain pihak, para guru pun memiliki keterbatasan pengetahuan dan keterampilan dalam mengelola semuanya. Tujuan pelatihan ini yaitu untuk meningkatkan pengetahuan dan keterampilan sehingga mitra mampu membuat dan mengelola web personal maupun web sekolah secara professional menggunakan Google Site. Metode yang dilakukan yaitu persiapan, tindakan, evaluasi, publikasi dan keberlanjutan kegiatan. Hasil evaluasi post-test menunjukkan adanya peningkatan yang signifikan dari kondisi penjajakan awal. Peningkatan pengetahuan peserta mencapai 90,6% dan keterampilan peserta mencapai 87,5% . Kegiatan ini berkontribusi membangun jembatan distribusi kerjasama peningkatan profesionalisme pendidik di tengah masyarakat khususnya Kota Makassar.Abstract : The COVID-19 pandemic is a momentum to improve teacher competence in the Learning Management System. After the New Normal, online learning remains an offline learning partner. The LMS and publication of SIT Mutiara information has not run simultaneously and in an integrated manner. The learning system applies Classroom, but the publication of school information is communicated only through social media such as Facebook, Instagram and WhatsApp. Its legitimacy is certainly lacking in terms of content and legality in terms of ICT publications. On the other hand, teachers also have limited soft-skills and hard-skills in managing everything. The purpose of the training in this community service activity is to increase knowledge and skills so that they can create and manage personal and school websites professionally using the Google Site. The methods are preparation, action, evaluation, publication, and continuation of activities. The results of the post-test showed a significant improvement from the initial assessment conditions. Increased knowledge participants reached 90.6% and skills of participants reached 87.5%. This activity contributes to building a distribution bridge to improve the professionalism of educators in the Makassar City.
Aplikasi Peringatan Dini Kerusakan Jalan Menggunakan Metode Euclidean Distance dan Haversine Berbasis Android Rismayani Rismayani; Annah Annah; Asma Nurhidayani; Indo Intan; Fahmi Satriawan Taslim; Reski Ariani
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 11, No 1 (2023)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v11i1.53634

Abstract

Tujuan dari penelitian ini adalah membangun sebuah aplikasi berbasis android yang dapat memberikan peringatan dini tentang kerusakan jalan dan menerapkan metode Euclidean Distance dan Haversine untuk peringatan dini Kerusakan jalan. Objek lokasi penelitian berada di sepanjang jalan Trans Sulawesi khususnya di Kabupaten Maros. Adapun metode yang digunakan adalah menerapkan Euclidean distance dan Haversine, yang dimana digunakan untuk menghitung dua titik jarak antara pengemudi dengan titik kerusakan jalan. Hasil dari penelitian ini adalah aplikasi peringatan dini kerusakan jalan yang dibangun diterapkan pada objek lokasi kabupaten Maros yang dapat membantu pengguna jalan khususnya pengendara dalam memperoleh informasi awal tentang keadaan jalan yang akan dilalui sehingga pengendara lebih berhati-hati dan berdasarkan uji jarak aplikasi peringatan dini kerusakan jalan dinyatakan valid. Peringatan dini kerusakan jalan dapat dijadikan sebagai rambu alternatif jika terdapat jalan rusak yang dimana notifikasi masuk kedalam perangkat mobile yang menggunakan platform android dan berdampak positif bagi pengguna jalan Trans Sulawesi di Kabupaten Maros.
Facial recognition using multi edge detection and distance measure Indo Intan; Nurdin Nurdin; Fitriaty Pangerang
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v12.i3.pp1330-1342

Abstract

Face recognition provides broad access to several public devices, so it is essential in cutting-edge technology. Human face recognizing has challenge in using uncomplicated and straightforward algorithms quickly, using memory specifications are not too high, otherwise the results are quality and accurate. Face recognition using combination edge detection and Canberra distance can be recommended for applications that require fast and precise access. The application of several edge detections singly has low performance, so it requires a combination technique to obtain better results. The proposed method combined several edge detections such are Robert, Prewitt, Sobel, and Canny to recognize a face image by identification and verification. As a feature extractor, the combination edge detection forms a more robust and more specific facial pattern on the contour lines. The results show that the combination accuracy outperforms other extractor features significantly. Canberra distance produces the best performance compared to Euclidean distance and Mahalanobis distance.
Analytical Hierarchy Process Algorithm for Traffic Sign Improvement Priority Nurlindasari Tamsir; Vivi Rosida; Asmah Akhriana; Indo Intan; St. Amina H.Umar
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 3 (2023): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v10i3.5109

Abstract

Traffic signs are part of road equipment that is very important for motorists because they can provide direction while on the highway, and if there is damage, repair or replacement must be carried out immediately because it can cause traffic accidents. Data collection for damaged traffic signs is still done using the manual method, so it takes a long time. Therefore, a web- and android-based application was designed that implements the Analytical Hierarchy Process (AHP) algorithm in determining the priority of repair or replacement of traffic signs on the route of South Sulawesi Province. As a result of this research, the public can report the type of damage and its location via Android, and then the officer processes the data so that it displays the type of damage that is a priority for repair or replacement. Implement the Analytical Hierarchy Process algorithm into the application for prioritization of traffic sign improvement using two (two) web-based and Android platforms. System design using UML produces use cases (2 actors, admin, and user) and class diagrams (15 admin classes and 4 user classes). The black box used as a test produced 40 modules, of which all were in line with expectations