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All Journal Jurnal Media Infotama Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Pseudocode Jurnal Informatika dan Teknik Elektro Terapan Jurnal Informatika Upgris PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer INTECOMS: Journal of Information Technology and Computer Science Antivirus : Jurnal Ilmiah Teknik Informatika JSAI (Journal Scientific and Applied Informatics) Journal of Technopreneurship and Information System (JTIS) Progresif: Jurnal Ilmiah Komputer Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Applied Computer Science and Technology (JACOST) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Sistem Informasi Dan E-Bisnis Jurnal Ilmu Komputer Dan Informatika JIMAKUKERTA JURNAL BESEMAH Ranah Research : Journal of Multidisciplinary Research and Development Jurnal Dehasen Mengabdi Kreativitas Pada Pengabdian Masyarakat (Krepa) JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) JURDIASRA JCOSIS (Journal Computer Science and Information Systems) Jurnal Komputer, Informasi dan Teknologi
Apridiansyah, Yovi
Universitas Muhammadiyah Bengkulu
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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%.
Combination of Deep Neural Network and YuNet for Python-Based Human Lifespan Prediction Apridiansyah, Yovi; Ardiansyah, Adidi Muhammad; Wijaya, Ardi
Telematika Vol 22 No 1 (2025): Edisi Februari 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v22i1.14510

Abstract

Purpose: In this research on face detection, many methods face challenges in the accuracy of age prediction due to the complexity of facial features that are influenced by factors such as lighting, expression, and image quality. Therefore, this research focuses on developing more accurate and efficient methods by utilizing Deep Neural Network (DNN) and YuNet. The purpose of this study is to develop a face recognition model in detecting and determining human age automatically using Python with the DNN method to study facial patterns in determining human age precisely and integrate the YuNet library as a lightweight face detection framework that is efficient in the identification process.Design/methodology/approach: In this study, a system was created for predicting human age using the Deep Neural Network method which functions to predict age based on facial patterns in images and the Yunet method as a facial image detector. The stages of this research start from taking pictures, installing python libraries, namely opencv, face detection process, and age detection process.Findings/result: The results of the study show that the DNN and YuNet methods have tested as many as 50 samples in the form of photos of human faces taken at a distance of half a meter, so by using the DNN and YuNet methods, researchers have succeeded in obtaining the age of the human face through the image processing process which can then obtain an accuracy level or Precission of 80% and the accuracy level of success between the prediction value and the actual value given by the system is 80%.Originality/value/state of the art: In this study, the system uses Python tools where in the face detection process using the YuNet method, this method is used because YuNet can directly detect facial features in the image and is lightweight in operation. In terms of DNN prediction, it functions as a method that can predict age based on the results of facial image detection. In this study, a dataset was also used for 50 facial samples that were tested for accuracy using the confussion matrix by looking for precission, recal, and accuracy values. 
PENGGUNAAN APPSHEET BERBASIS ANDROID ABSENSI KEHADIRAN GURU DI SEKOLAH DASAR NEGERI 65 KOTA BENGKULU WALAD; Apridiansyah, Yovi
JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Vol. 5 No. 2 (2025): 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.v5i2.568

Abstract

The advancement of information technology has extended to various sectors, including education. The manual attendance system at SD Negeri 65 Kota Bengkulu has several drawbacks, such as data loss risks, inefficiency in recap processing, and limited attendance reporting. Therefore, digitalizing the attendance system is essential to enhance accuracy, efficiency, and transparency in recording teachers' and staff attendance. This study aims to develop an Android-based attendance application using AppSheet as a solution for schools to improve work discipline and streamline administrative processes. The application development is conducted as part of the Internship Program (PKL) for undergraduate students of the Computer Science Program at Universitas Muhammadiyah Bengkulu. The resulting application enables digital attendance recording, integration with reporting systems, and real-time access to attendance data. This system is expected to optimize attendance management and enhance the performance of educators. Furthermore, this research can serve as a reference for other schools considering adopting similar technology.
Implementasi Metode DevOps Approach dalam Pengembangan Sistem Pengarsipan Surat RENMIN SDM Polda Bengkulu khairullah; Apridiansyah, Yovi; Pahrizal; sungkowo, belo
Jurnal Sistem Informasi dan E-Bisnis Vol 7 No 2 (2025): Agustus
Publisher : LPPMPP Yayasan Sejahtera Bersama Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jusibi.v7i2.604

Abstract

This study discusses the development of the Bengkulu Regional Police Human Resources RENMIN Letter Filing System, utilizing the DevOps approach, which integrates development and operations processes continuously. The objective is to enhance release speed, system quality, and the efficiency of digital document management. Evaluation was conducted using the User Acceptance Testing (UAT) method on 50 respondents, covering five key indicators: system functionality, ease of use, access speed, system security, and compliance with work procedures. The test results showed a high success rate, at 96%, 94%, 92%, 97%, and 95%, respectively, with an average success rate of 94.8%. These findings prove that the implementation of DevOps can provide a responsive, reliable, and user-friendly system in a police environment. Keywords— DevOps, RENMIN SDM, Document Management, Police Administration
DETEKSI GERAK BERDASARKAN FITUR WAJAH MENGGUNAKAN METODE KANADE LUCAS TOMASI (KLT) Apridiansyah, Yovi; Marhalim; Fahmi, Nofear
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 19 No. 2 (2025): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v19i2.19848

Abstract

Research by utilizing facial recognition features related to image processing and computer vision is used to produce a system that is almost close to the human visual system in general. In image processing, the detection of the movement of the rig is carried out so as to produce detection results. A problem that often occurs in the motion detection process is that every moving object in the video will be detected as a moving object. Therefore, this study will try to detect human face objects from the video data to be detected so that the detection results will later produce the detection of face objects. Every process of observing human facial movements requires a careful pre-process stage, because it is related to the observation of very smooth movements and a very fast duration. At this stage, the detection and tracking of the facial area must always be precise so that the observation of movements made in the facial area can be accurate. The solution offered for facial motion detection is to apply the Canade Lucas Tomasi (KLT) method for tracking each feature point. The performance process of KLT in detecting faces is to track each existing face by looking at the point of facial features, after the system records the features of the face, the system will detect every facial movement in the video. So by using the KLT method, it is hoped that the system can detect facial objects in the video. The results of the study by testing as many as 30 samples of video data in the form of recordings of human motion objects succeeded in detecting facial movements with an accuracy level of 96%, Recal 88% and an accuracy level of 86%.
Penerapan Metode YOLOv5 untuk Klasifikasi dan Deteksi Objek Menggunakan Video Non-Real-Time Apridiansyah, Yovi; Padli, Zeko; Reswan, Yuza; Witriyono, Harry
Jurnal PROCESSOR Vol 20 No 2 (2025): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2025.20.2.2508

Abstract

Deteksi objek merupakan salah satu penerapan utama dari teknologi computer vision dalam bidang kecerdasan buatan. Salah satu algoritma deteksi objek yang banyak digunakan karena efisiensinya adalah YOLOv5. Penelitian ini bertujuan untuk menerapkan metode YOLOv5 dalam mendeteksi dan mengklasifikasikan objek kendaraan dan manusia pada rekaman video non-real-time di kawasan Simpang Tugu Pena Kota Bengkulu. Dataset yang digunakan merupakan video hasil dokumentasi lapangan, yang kemudian dianalisis menggunakan model YOLOv5 dengan pelatihan berbasis transfer learning. Untuk menjaga identitas objek antar-frame, sistem dikombinasikan dengan metode Kalman Filter dan SORT sebagai pelacak objek. Hasil pengujian menunjukkan bahwa model yang dibangun mampu melakukan deteksi objek dengan baik pada kondisi visual yang bervariasi, serta mencapai nilai akurasi yang tinggi berdasarkan pengukuran menggunakan matriks konfusi. Penelitian ini menunjukkan bahwa penerapan YOLOv5 efektif digunakan dalam sistem dokumentasi visual berbasis AI di lingkungan ruang publik yang dinamis.
Penerapan Qr Code Geolocation Pada Presensi Dosen Fakultas Teknik Universitas Muhammadiyah Bengkulu Rajes Andika Putra; Yovi Apridiansyah; Ardi Wijaya; RG. Guntur Alam
JCOSIS (Journal Computer Science and Information Systems) Vol. 1 No. 1 (2024): Mei
Publisher : Institute for Research and Community Service

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61567/jcosis.v1i1.177

Abstract

Tujuan : Proses presensi merupakan suatu hal yang sering dilakukan setiap orang yang bekerja baik di pemerintahan maupun swasta. Pada dasarnya proses presensi menggunakan presensi manual ada juga yang telah menggunakan finger print sehingga memudahkan dalam melakukan presensi Metode/Design/Pendekatan: Di Fakultas Teknik UM Bengkulu juga sudah menggunakan system presensi dosen menggunkan finger print, akan tetapi di masa pandemic covid-19 ini seluruh kegiatan belajar mengajar banyak yang melaksanakan secara daring, sehingga dalam penelitian ini menerapkan sistem absen dengan Qr Code dan geolocation untuk mengetahui lokasi dari dosen yang melakukan absen. Qr Code yang berarti kode yang bisa menyampaikan informasi secara cepat yang bertujuan untuk mengevaluasi kinerja dosen dalam kedisiplinan kerja Hasil/Temuan: Dari penelitian ini juga menghasilkan sistem aplikasi presensi dengan menerapan QR Code Geolocation Pada Presensi Dosen Fakultas Teknik Universitas Muhammadiyah Bengkulu, Dapat memberikan informasi hasil evaluasi kinerja dosen dengan menerapan QR Code Geolocation Pada Presensi Dosen Fakultas Teknik Universitas Muhammadiyah Bengkulu, evaluasi tersebut berupa cetak riwayat yang ada pada system, serta Meningkatkan disiplin dosen dalam kegiatan belajar dan bertanggung jawab dalam bekerja dengan adanya sistem presensi geolocation ini. Kebaharuan/Originalitas/Nilai: Dengan penelitian ini maka dapat memberikan informasi presensi dengan tingkat keberhasilan sistem berdasarkan tingkat evaluasi mencapai tingkat keberhasilan 85%. Keywords: QR, geolocatioan, presensi
Implementasi Metode Preference Selection Index Dalam Penentuan Penerimaan Beasiswa Pada SMA Negeri 2 Bengkulu Selatan Kurniawan, Andika; Yovi Apridiansyah; Yulia Darmi; Harry Witriyono
JUKOMIKA (Jurnal Ilmu Komputer dan Informatika) Vol. 6 No. 2 (2023): Desember
Publisher : LPPMPP Yayasan Sejahtera Bersama Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jukomika.v6i2.495

Abstract

Scholarships are a form of assistance given to students or students in the form of funds or money that will be used to help the cost of the educational process and ease the burden on students in taking the study period, especially the cost issue, given a selective scholarship program.  This study aims to implement the Preference Selection Index (PSI) method in determining scholarship acceptance at SMA Negeri 2 South Bengkulu. This study uses a quantitative approach by using secondary data in the form of a decision matrix containing criteria for determining scholarship acceptance and data on students who have applied for scholarships in the previous year. The PSI method is used to determine the relative weight of each criterion and calculate the final score for each student. The results of this study show that the PSI method can produce objective and fair decisions in determining scholarship acceptance. In the application of the PSI method, the criterion with the highest weight is academic achievement and the criterion with the lowest weight is activeness in student organizations. The results of this study can be used as recommendations for the school in determining scholarship acceptance in the following years. It is hoped that the results of this study can help schools in selecting students who meet the criteria and deserve scholarship assistance to help with their education costs.
Co-Authors Abdullah, Dedy Ade Ferdiansyani Putra adindo, Yogi Afriko Manda Jaya Afrinando Kusnandi Agustio, Faidillah Ahmad Novianto Ahmad Nur Habibullah Chan Ali Sutan Pane Andika Kurniawan Andilala Anggara, Novio Angtyas Candra Pratama AR Wallad Mahfuzi AR. Wallad Mahfuzi Ardiansyah, Adidi Muhammad Ardoni, Yoan Ari Purjiawan Arif Setiawan Arif Setiawan Arif Tri Novian Arjun Putra Nandika Audi Muhammad Jardillah Bima Satria Yudha Cecep Saputra Daffa Putra Sadhevi Dandi Sunardi Darnita , Yulia Darnita, Yulia Darsah Wendanado 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 Eka Sahputra Fadlikal Ilham Aditma, Afredo Fahmi, Nofear Farid Achmadi Febitri, Nora 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 Ikbal, Fikri Indra Setiawan Irsyad Ahmad Fauzan Javier Rezon Gumiri Juhardi , Ujang Juhardi, Ujang Julfi Siswanto Khairullah Khairullah khairullah Kurniawan, Andika M. Dhaffa Giffari M. Gilang Ramadhan M. Sapta Firdaus Mahfuzhi, AR Walad Marcelina Novi Zarti Marhalim Marissa Utami Muhammad Agung Muhammad Aksyah Muhammad Febriansyah Muhammad Husni Rifqo Muhammad Husni Rifqo Muhammad Miatsyah Muhammad Rizky Muntahanah, Muntahanah Muntahannah Muntahannah Mutahanah Mutahanah Nanda Febrina Novian, Arif Tri Nugraha Apriansyah 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 Sapitri Ramadhani Sastya Hendri Wibowo Shandra Nur’aini Sita Juliza Sonita, Anisya sungkowo, belo Thio Ragil Alfares Toyib, Rozali Ujang Juhardi ujang juhardi Veronika, Nuri David Maria Wahid Hidayat WALAD Walad Mahfuzhi Walad Mahfuzi Wijaya, Ardi Wisnu Gusti Gusti Gusti Witriyono, Harry Yoan Ardoni Yoga Muhamad Aryanto Yoga Saputra Yogi adindo Yogi Bakti Husada Yudha, Bima Satria Yulia Darmi Yulia Darnita yuliadarnita yuliadarnita Yuza Reswan Zarti, Marcelina Novi