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Apridiansyah, Yovi
Universitas Muhammadiyah Bengkulu
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Pengolahan Citra Berbasis Video Proccesing dengan Metode Frame Difference untuk Deteksi Gerak Yovi Apridiansyah; Wijaya, Ardi; Pahrizal; Rozali Toyib; Arif Setiawan
Journal of Applied Computer Science and Technology Vol 5 No 1 (2024): Juni 2024
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v5i1.790

Abstract

This study discusses the detection of motion of objects in video by utilizing the Frame difference method which aims to process video so as to produce Frames on moving objects. The use of mobile cameras produces video data that is used as test data, the test data is processed with the Frame difference method so as to produce a number of Frames on moving objects in order to detect moving objects in the video because the function of this method is a form of video background reduction that is simplified by a number of pixels in the video. This method process is based on the difference between two consecutive frames in the video aimed at finding differences that occur during the detection process. When processed for detection, the absolute value in the pixel is greater than the predetermined threshold value, it will be considered as a moving object, so that the detection results from the motion detection process will form a box object on the moving object. In this study, the test data used used 20 video data samples with descriptions, 10 test data with bright quality (daytime) and 10 unlit test data (night) with the aim of being able to see how much the level of performance accuracy of the Frame difference method. The test results obtained 16 out of 20 test data that were successfully detected correctly (True Positive), there were 2 test data that resulted in a False Positive error, and 2 test data that resulted in a False Negative error. This shows that the Frame difference method can provide a fairly high level of accuracy in detecting moving objects in the video. The percentage level of accuracy with confussion matrix testing has a precission value of 88%, recal 88% and an accuracy value of 80%.
PENERAPAN ALGORITMA OCR UNTUK EKSTRAKSI INFORMASI DARI CITRA KARTU TANDA MAHASISWA (KTM) Reswan, Yuza; Raffles, Richard; Wijaya, Ardi; Apridiansyah, Yovi
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 5 (2024): JATI Vol. 8 No. 5
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i5.11006

Abstract

Kartu Tanda Mahasiswa (KTM) merupakan kartu identitas resmi yang dikeluarkan oleh universitas kepada setiap mahasiswa untuk mengidentifikasi status mahasiswa mereka. Proses pembuatan dan pengelolaan KTM saat ini masih dilakukan secara manual, di mana data mahasiswa harus diinput dan diverifikasi satu per satu, sehingga rawan terjadi kesalahan dan memerlukan waktu yang cukup lama. Untuk mengatasi masalah ini, diperlukan integrasi antara teknologi pengenalan karakter dan pengolahan citra. Oleh karena itu, metode Optical Character Recognition (OCR) sangat tepat diimplementasikan dalam masalah ini. Metode OCR merupakan teknologi yang memanfaatkan algoritma pengenalan karakter untuk mengekstrak informasi dari gambar atau teks cetak. Hasil dari penelitian ini adalah membaca dan mengenali karakter pada KTM secara efisien dan data berupa informasi pribadi dari KTM sudah otomatis tersimpan di Microsoft Word dan telah diuji tingkat keberhasilan penelitian menggunakan Precission, Recall, dan Accuracy. Adapun hasil yang didapat dari Precission, Recall, dan Accuracy dari penelitian ini yaitu Precission sebesar 88%, Recall sebesar 100%, dan Accuracy 88%.
Sistem Pendaftaran Siswa Baru Di SMP 8 Bengkulu Menggunakan Metode Multilevel Queue Dede Maulana Ibrahim; Apridiansyah, Yovi; AR Wallad Mahfuzi; Pahrizal
JUKOMIKA (Jurnal Ilmu Komputer dan Informatika) Vol. 7 No. 2 (2024): Desember
Publisher : LPPMPP Yayasan Sejahtera Bersama Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jukomika.v7i2.554

Abstract

New student registration is the initial stage process for new students to be able to carry out education in the school environment. An efficient and effective registration process is important for every school to ensure that every prospective student gets a fair and equal opportunity to get a quality education. SMP Negeri 8 Bengkulu also admits new students, but in this case SMP 8 Bengkulu registration is still done manually which results in frequent data errors. Another problem that is often faced is the complexity of the registration process which takes time so that the registration process is slow because this registration process involves collecting personal information, documents, filling out forms, selecting classes, and meeting various other requirements. This process not only requires the involvement of prospective students and parents, but also involves school officials in managing and verifying data. The solution to this problem is to create an online registration system for new students at SMPN 8 Bengkulu. The registration system can be completed by using the Multilevel Queue method which is one of the methods in overcoming the queue problem. This method can group small queues where each queue will run with the FCFS (First Come First Serve) method. In the context of the new student registration system, the Multilevel Queue method can be used to set priorities and schedule the processing of registration data, thus ensuring the smooth process of registering new students efficiently and accurately. This system can also help the process of registering new students at SMPN 8 Bengkulu City.
Perancangan dan Pembuatan Google From di Sekolah SD N 43 Kota Bengkulu untuk Meningkatkan Kemampuan Ilmu Teknologi Dewan Guru: pembuatan google form Audi Muhammad Jardillah; Ade Ferdiansyani Putra; Dedi Arsela; Anggara, Novio; Walad Mahfuzhi; Yovi Apridiansyah
JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Vol. 4 No. 2 (2024): Oktober
Publisher : Lembaga Penelitian Pengabdian Masyarakat Penerbitan dan Percetakan Indonesian Scholar Khiar Wafi (LPPMPP IKHAFI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jpmtt.v4i2.535

Abstract

PKM di SDN 43 Kota Bengkulu merupakan bagian dari kurikulum pendidikan yang bertujuan untuk memberikan pemahaman praktis kepada mahasiswa tentang lingkungan kerja di sekolah dasar. Selama PKM, mahasiswa terlibat dalam berbagai aktivitas seperti mengamati kelas, membantu guru dalam persiapan pembelajaran, serta mengajar sesi pembelajaran kepada siswa. Melalui PKM ini, mahasiswa memperoleh pemahaman yang lebih baik tentang proses pembelajaran di sekolah dasar, meningkatkan keterampilan interpersonal, dan memahami kebutuhan siswa secara individual. PKM ini diharapkan dapat memberikan kontribusi positif bagi perkembangan pendidikan di SDN 43 Kota Bengkulu serta pengalaman berharga bagi mahasiswa dalam meningkatkan kualitas pendidikan di masa depan.
Integrasi Metode Viola Jones dan Algoritma Pelabelan Untuk Akurasi Deteksi Objek Manusia Ardi Wijaya; Yudha, Bima Satria; Yovi Apridiansyah; Nuri David Maria Veronika
Jurnal PROCESSOR Vol 19 No 2 (2024): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2024.19.2.1822

Abstract

Motion detection is a key element in modern surveillance systems to ensure optimal security. However, the accuracy of motion detection is often a challenge under various environmental conditions. This research investigates the use of the Viola-Jones method and labeling algorithm as a solution to improve object detection accuracy by sampling 15 videos that record various environmental conditions, including indoors, outdoors, and at night. The Viola-Jones method is implemented for face detection as a first step in human object identification, while the labeling algorithm is used to refine and validate the detection results in more detail. Experimental results show that combining the two methods succeeded in increasing object detection accuracy. Of the 15 videos analyzed, only 4 videos experienced inaccurate detection results, while the other 11 videos managed to get accurate results. Evaluation of system performance using Precision, Recall, and Accuracy metrics produces a Precision rate of 73.33%, a Recall rate of 100%, and an Accuracy rate of 73.33%. Apart from that, manual calculations were also carried out which resulted in an accuracy rate of 91.77%.
Implementasi Metode Point to Point Menggunakan Mikrotik Router Board Type RB411AH Untuk Akses Jaringan Internet Toyib, Rozali; Waluyo; Wijaya, Ardi; Apridiansyah, Yovi
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 4 No. 1: MARET 2024
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v4i1.259

Abstract

Permasalahan tata letak geografis dengan koneksi kabel antar gedung yang saling terisolasi dikarenakan kondisi perkantoran yang terletak diperbukitan dimana antar gedung satu terpisah dengan yang lain sehinggah tidak memungkin dilakukan penyambungan menggunakan. Metode distribusi akses  point-to-point ini juga biasa digunakan menghubungkan dua kantor yang berjauhan dengan jaringan ini diharapkan seluruh pengguna dapat mengakses internet secara bersama di ruang kerja masing-masing dengan dengan wireless (nirkabel).  Tujuan penelitian adalah mencoba penerapan board router akses point-to-point untuk komunikasi data secara point-to-point untuk mengatasi masalah tata letak geografis kondisi perkantoran di daerah perbukitan dimana gedung-gedung tidak dapat terkoneksi dengan kabel antar gedung terpisah satu sama lain kabel UTP maupun kabel fiber optic menggunakan mikrotik router board type RB 411AH dengan wireless. Hasil tersebut berdasarkan hasil pengujian access point dua access point dengan jarak yang sama, dimana jarak antara access point (30 meter) dengan client (laptop) adalah 15 meter, 20 meter dan 30 meter pada channel 4 dan 5 .Ada perbedaan ketika kekuatan sinyal yang diterima adalah 60%, tetapi ketika kebisingan mencapai 20%, situasinya buruk, koneksi harus mencapai 80% jika memungkinkan, dan jaringan point-to-point harus memperhatikan lokasi geografis, karena sinyal yang melalui gelombang sangat peka terhadap halangan/pohon atau bukit (LOS = line of sight).
PEMAHAMAN INFORMASI BUNGA RAFFLESIA ARNOLDII MELALUI PEMANFAATAN QR CODE UNTUK WISATAWAN Shandra Nur’aini; Yovi Apridiansyah; Walad Mahfuzi; Yoga Saputra; Putri Rahma Della; Arjun Putra Nandika; Nugraha Apriansyah
Kreativitas Pada Pengabdian Masyarakat (Krepa) Vol. 4 No. 9 (2025): Kreativitas Pada Pengabdian Masyarakat (Krepa)
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.8765/krepa.v4i9.11715

Abstract

Rafflesia arnoldii merupakan bunga terbesar di dunia yang menjadi daya tarik wisata di Bengkulu. Namun, keterbatasan informasi mengenai bunga ini menghambat pemahaman wisatawan terhadap pentingnya konservasi. Program pengabdian ini bertujuan untuk meningkatkan aksesibilitas informasi tentang Rafflesia arnoldii dengan memanfaatkan teknologi QR Code. Kegiatan ini melibatkan Dinas Pariwisata Provinsi Bengkulu serta tenaga honorer dan mahasiswa magang sebagai responden. Metode yang digunakan meliputi pengembangan konten digital, implementasi QR Code, serta evaluasi efektivitasnya dalam meningkatkan pemahaman wisatawan. Hasil pengabdian menunjukkan bahwa penerapan QR Code mampu meningkatkan akses informasi secara cepat dan interaktif. Responden menyatakan bahwa teknologi ini memudahkan mereka dalam memahami sejarah, karakteristik, serta upaya konservasi Rafflesia arnoldii. Kendala yang ditemukan meliputi keterbatasan akses internet dan rendahnya literasi digital beberapa pengguna. Oleh karena itu, diperlukan sosialisasi lebih lanjut serta penguatan infrastruktur untuk meningkatkan efektivitas sistem. Pemanfaatan QR Code ini diharapkan dapat menjadi model dalam edukasi wisata berbasis teknologi serta mendukung konservasi flora langka di Bengkulu. Rafflesia arnoldii is the world’s largest flower and a major tourist attraction in Bengkulu. However, limited information about this species hinders tourists’ understanding of its conservation importance. This community service program aims to enhance accessibility to information on Rafflesia arnoldii using QR Code technology. The activity involved the Bengkulu Provincial Tourism Office, honorary staff, and internship students as respondents. The methodology includes digital content development, QR Code implementation, and evaluation of its effectiveness in improving tourist knowledge. The results indicate that the QR Code application significantly enhances fast and interactive information access. Respondents acknowledged that this technology facilitates their understanding of Rafflesia arnoldii’s history, characteristics, and conservation efforts. Challenges encountered include limited internet access and low digital literacy among some users. Therefore, further outreach and infrastructure improvement are necessary to optimize the system’s effectiveness. The use of QR Codes is expected to serve as a model for technology-based tourism education and support rare flora conservation in Bengkulu.
Laporan Praktek Kerja Lapangan Penyusunan Dan Pengarsipan Surat Mahfuzhi, AR Walad; Apridiansyah, Yovi; Giova, Giova; Setiawan, Arif; Felix, Igor
Jurnal Dehasen Mengabdi Vol 2 No 2 (2023): September-Februari
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jdm.v2i2.4716

Abstract

General election is a procedure and mechanism for delegating people's sovereignty to state administrators (legislative, executive and judiciary). Before the reform era, elections were carried out by the General Elections Institute (LPU) of the Ministry of Home Affairs, but since the reform era, elections have been held by an independent institution, namely the General Elections Commission which was formed based on amendments to the 1945 Constitution of the Republic of Indonesia article 22E paragraph (5) that general elections are held by an election commission which is national, permanent and independent in nature. The method used is a qualitative method which explains the preparation and filing of letters. Field work practice (PKL) at the Bengkulu provincial KPU office. The street vendors were carried out for 40 days, a lot of experience, knowledge and other things were obtained in the implementation of the street vendors. During the Field Work Practice (PKL) activities, I was able to find out firsthand how the activities were in practice at the Bengkulu provincial KPU office.
Eksperimen Perbandingan Otsu Thresholding dan Canny Edge Detection Terhadap Peningkatan Kualitas Citra Beresolusi Rendah Ramadhan, Redho Putra; Pahrizal, Pahrizal; Apridiansyah, Yovi
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 7 No. 3 (2025): Ranah Research : Journal Of Multidisciplinary Research and Development
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v7i3.1575

Abstract

In today's digital era, digital images play an important role in various fields, including image processing, surveillance systems, and medical image processing. However, one of the main challenges is that low-resolution images often experience quality degradation, so the loss of important details caused by noise and blurring makes the information in the image unclear. To overcome this problem, various image processing methods have been developed, including the Otsu Thresholding and Canny Edge Detection methods. This study will compare two methods for improving the quality of low-resolution images, namely Otsu Thresholding and Canny Edge Detection. This experiment was conducted to determine how effective the two methods are by testing several low-resolution image samples and then evaluating the results based on the PSNR, MSE, and SSIM metric values. The experimental results obtained show that the Otsu Thresholding method outperforms Canny Edge Detection in terms of improving image quality, as evidenced by better PSNR, lower MSE, and SSIM closer to 1. Thus, Otsu Thresholding is recommended as a more effective and optimal method in low-resolution image processing. Therefore, it is hoped that the results of this study can be a reference for developing more effective and optimal low-resolution image processing methods in the future.
KLASIFIKASI CITRA DAUN HERBAL DENGAN KHASIATNYA UNTUK PENGOBATAN MENGGUNAKAN JARINGAN SYARAF TIRUAN (BACKPROPAGATION) Hidayat, Roki; Toyib, Rozali; Apridiansyah, Yovi; Reswan, Yuza
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 4 (2025): JATI Vol. 9 No. 4
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i4.13860

Abstract

Indonesia memilki kekayaan tanaman herbal yang melimpah, dengan ribuan jenis tanaman berkhasiat. Namun, pemanfaatannya belum maksimal karena keterbatasan informasi dan kesesulitan dalam mengidentifikasi jenis dan manfaat daun herbal secara manual. Untuk meningkatakan pemahaman serta mengoptimalan penggunaan obat herbal, Penelitian ini bertujuan untuk mengembangkan sistem yang dapat mengklasifikasikan gambar daun tanaman herbal berdasarkan khasiatnya untuk pengobatan menggunakan jaringan saraf tiruan backpropagation. Pada tahap awal penelitian ini, dilakukan pengumpulan dataset tanaman herbal dengan berbagai jenis. Dataset yang digunakan terdiri dari 100 citra dengan 10 jenis daun tanaman herbal yang dibagi mejadi dua data yaitu data pelatihan dan data pengujian, dengan pembagian 60% data digunakan untuk pelatihan, sementara 40% untuk pengujian. Saat proses klasifikasi melibatkan transformasii warna ke hsv, segmentasi citra serta ekstraksi ciri yang mengunakan parameter metriic dan eccentricity. Sistem di terapkan melalui aplikasi matlap dengan antarmuka pengguna grafis (GUI), sehingga mempermuda pengujian. Berdasarkan hasil model yang dikembangkan dan hasil evaluasi menunjukan bahwa metode dapat mengklafikasikan daun herbal dengan Tingkat akurasi total yang diperoleh mencapai 75,00%.
Co-Authors Abdullah, Dedy Ade Ferdiansyani Putra adindo, Yogi Afriko Manda Jaya Afrinando Kusnandi Agustio, Faidillah Ahmad Novianto Ali Sutan Pane Andika Kurniawan Andilala Anggara, Novio Angtyas Candra Pratama Apriansyah, Nugraha AR Wallad Mahfuzi Ardi wijaya Ardiansyah, Adidi Muhammad Ardoni, Yoan Ari Purjiawan Arif Setiawan Arif Setiawan Arjun Putra Nandika Audi Muhammad Jardillah Bima Satria Yudha Cecep Saputra Daffa Putra Sadhevi Dandi Sunardi Darnita , Yulia Darnita, Yulia Darsah Wendanado Daryono, Basofi Rachmadani David Chandra David Maria Vironika, Nuri Dede Erawan Dede Erwan Dede Maulana Ibrahim Dedi Arsela Dedy Abdullah Dedy Abdullah Deo Irwan Diana Diana Diana Diana Diana Dori Mabrori Eka Sahputra Fadlikal Ilham Aditma, Afredo Fahmi, Nofear Farid Achmadi Febitri, Nora Febrina, Nanda Felix, Igor Fitriani Fitriani Giova, Giova Gunawan Gunawan Gunawan Gunawan Gunawan Gunawan Guntur Alam Harry Witriyono Harry Witriyono Hary Witriyono hidayah, agung kharisma Hidayat, Roki Hidayat, Wahid Indra Setiawan Irsyad Ahmad Fauzan Javier Rezon Gumiri Juhardi , Ujang Juhardi, Ujang Julfi Siswanto Juliza, Sita Khairullah Khairullah khairullah Kurniawan, Andika M. Dhaffa Giffari M. Gilang Ramadhan M. Sapta Firdaus Mahfuzhi, AR Walad Mahfuzi, AR. Wallad Marcelina Novi Zarti Marhalim Muhammad Agung Muhammad Aksyah Muhammad Febriansyah Muhammad Husni Rifqo Muhammad Husni Rifqo Muhammad Miatsyah muhammad rizky, muhammad Muntahanah, Muntahanah Muntahannah Mutahanah Mutahanah Novian, Arif Tri Nugraha Apriansyah Nuri David Maria Veronika Nuri David Maria Veronika Nuri David Maria Veronika Padli, Zeko Pahrizal Pahrizal, Pahrizal Pariza, Rahmat Pindo Putra Pratama Putra, Erwin Dwika Putra, Riky Ade Putri Rahma Della R.S, Penti Septian Raffles, Richard Rahmat Pariza Rajes Andika Putra Ramadhan, Redho Putra Randi Trio Ardiansyah Rasyid, Muhammad Soelaiman Rensita Delpa Ria Oktarini Ria Parina Rifqo, Muhammad Husni Rina Yuniarti, Rina Ringgo Dwika Putra Ronaldo Kontesa Rozali Toyib Sahputra, Eka Sapitri Ramadhani Sastya Hendri Wibowo Shandra Nur’aini Sonita, Anisya sungkowo, belo Thio Ragil Alfares Toyib, Rozali Ujang Juhardi ujang juhardi Veronika, Nuri David Maria WALAD Walad Mahfuzhi Walad Mahfuzi Waluyo Wijaya, Ardi Wisnu Gusti Gusti Gusti Witriyono, Harry Yoga Muhamad Aryanto Yoga Saputra Yogi adindo Yogi Bakti Husada Yudha, Bima Satria Yulia Darmi Yulia Darnita yuliadarnita yuliadarnita Yuza Reswan Zarti, Marcelina Novi