Article Per Year (5 Year)
p-Index From 2021 - 2026
3.586
P-Index
This Author published in this journals
All Journal Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Komtekinfo Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Populer: Jurnal Penelitian Mahasiswa Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Ilmiah Dan Karya Mahasiswa Jurnal Sistem Informasi dan Ilmu Komputer Jurnal Elektronika dan Teknik Informatika Terapan Jurnal Penelitian Teknologi Informasi dan Sains Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Jurnal Quancom: Jurnal Quantum Komputer Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Information System and Education Development
Billy Hendrik
Unknown Affiliation
Humanities Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

Published : 28 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 28 Documents
Search

 1   2   3 
Vision Transformer untuk Identifikasi 15 Variasi Citra Ikan Koi Uthama, Rayhan; Yuhandri; Billy Hendrik
Computer Science and Information Technology Vol 5 No 1 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i1.6711

Abstract

This research aims to classify various types of koi fish using Vision Transformer (ViT). There is previous research [1] using Support Vector Machine (SVM) as a classifier to identify 15 types of koi fish with training and testing datasets respectively of 1200 and 300 images. This research was continued by research [2] which implemented a Convolutional Neural Network (CNN) as a classifier to identify 15 types of koi fish with the same amount dataset. As a result, the research achieved a classification accuracy rate of 84%. Although the accuracy obtained from using CNN is quite high, there is still room for improvement in classification accuracy. Overcoming obstacles such as limitations in classification accuracy in previous studies and further exploration of the use of new algorithms and techniques, this study proposes a ViT architecture to improve accuracy in Koi fish classification. ViT is a deep learning algorithm adopted from the Transformer algorithm which works by relying on self-attention mechanism tasks. Because the power of data representation is better than other deep learning algorithms including CNN, researchers have applied this Transformer task in the field of computer vision, one of the results of this application is ViT. This study was designed using class and number datasets retained from two previous studies. Meanwhile, the koi fish image dataset used in this research was collected from the internet and has been validated. The implementation of ViT as a classifier in koi classification in this research resulted in an accuracy level that reached an average of 89% in all classes of test data.
Sistem Deteksi Otomatis dan Self Cleaning pada Cat Litter Box Masril, Mardhiah; Ghinaa Fadhiilah; Ruri Hartika Zain; Billy Hendrik
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 2 No. 1 (2024): Juni 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v2i1.325

Abstract

This research discusses the development of an Automatic Detection and Self Cleaning System on a Cat Litter Box using the Wemos D1 mini microcontroller, to improve the efficiency of cat maintenance. In this context, cats as pets have psychological uniqueness closely related to humans. The litter box, as a specific place for burying cat feces and urine, requires continuous attention and maintenance to keep it clean. This research develops a device that automatically detects cats entering the litter box, and then separates the feces from the sand in the cat litter box. The feces are transferred to a container that will be weighed using a load cell. Cat owners will receive notifications on their smartphone devices through their Telegram application to dispose of the waste. The system also monitors the sand height in the storage container, and the sand dispenser will refill it to a certain limit. The development of this system is expected to provide a solution for cat owners who need to leave their pets for a certain period. This research also demonstrates positive results through testing and notifications on smartphone devices as well as display on the LCD screen in the litter box.
Penerapan Algoritma Decession Tree C4.5 Untuk Diagnosa Penyakit Ispa Pada Puskesmas Sabak Auh Sonia Indhira, Sonia; Billy Hendrik
Journal of Information System and Education Development Vol. 1 No. 2 (2023): Journal of Information System and Education Development
Publisher : Manna wa Salwa Foundation (Yayasan Manna wa Salwa)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

ABSTRACTInfeksi Saluran Pernapasan Akut atau yang kita sering sebut ISPA merupakan penyakit yang umum terjadi pada semua kategori umur, terutama pada anak- anak. Dengan membuat aplikasi penerapan data mining dengan metode klasifikasi menggunakan Algoritma Decision Tree C4.5 dalam memprediksi seseorang terkena penyakit ISPA, dimana nantinya data yang masuk ke sistem informasi dihitung dengan rumus Algoritma Decision Tree C4.5 yang hasilnya nanti terperinci, dapat menghasilkan nilai secara valid dan lebih akurat.
Penggunaan Metode Systematic Literatur Review Untuk Menganalisis Artikel Sistem Pakar Metode Forward Chaining Resnawita; Billy Hendrik
Journal of Information System and Education Development Vol. 1 No. 2 (2023): Journal of Information System and Education Development
Publisher : Manna wa Salwa Foundation (Yayasan Manna wa Salwa)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of AI or artificial intelligence has entered the forefront of the world of technology. Artificial intelligence can be one solution to various problems. One algorithm that uses an AI program is an expert system algorithm where the expert system is an AI program with a knowledge base (Knowledge Base) obtained from experience or expert knowledge or experts in solving problems in certain fields. The forward chaining method is one method of system development, which is a method with decision making that begins with considering information or facts before drawing final conclusions. With the use of the forward chaining method, the system is designed to operate on various devices such as web, mobile, or desktop. This study uses a systematics literature review (SLR) methodology, aims to determine the fields, platforms, and advantages and disadvantages of using the forward chaining method for expert systems that rely on information from related journals between 2020 and 2023
Inovasi Sistem Kontrol Akses Gerbang Kantor Pemerintahan Berbasis Teknologi Multisensor dan Deteksi Plat Nomor Kendaraan Masril, Mardhiah; Ondra Eka Putra; Hasri Awal; Billy Hendrik
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 2 No. 2 (2024): Desember 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v2i2.433

Abstract

Technological advances are developing rapidly at this time, the need for efficiency, security and automation in the office environment has become a top priority. One innovation that answers this need is technology for office gates, the need for a more sophisticated and efficient access control system is increasingly urgent. The problem that occurs, namely intrusions outside working hours, means that unknown individuals can easily enter the office area without permission. Additionally, cases involving lost employee ID cards, which were used by others to access designated areas, underscore the need for identification systems that are more secure and difficult to abuse. The office gate security system utilizes Webcam Camera input, RFID Reader, Fingerprint Sensor, Ultrasonic and Esp8266, Web, Servo, LED, LCD and Buzzer output. The Webcam camera can take pictures and save them on the web and the RFID Reader detects E-KTP, the Fingerprint sensor detects fingerprints and then the LCD displays information that registration is successful. This tool is processed with an Arduino Mega 2560 microcontroller as a connection.
Metode Fuzzy Untuk Mengidentifikasi Kepribadian Siswa Amir Salim Khairul Rijal; Billy Hendrik
Populer: Jurnal Penelitian Mahasiswa Vol. 2 No. 4 (2023): Desember : Jurnal Penelitian Mahasiswa
Publisher : Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/populer.v2i4.1456

Abstract

Personality recognition is one of the important things for recognizing oneself and other people. This identification is made based on a person's personality traits, based on Kant's personality theory. There are very few teachers who do not understand their students' personalities. During the teaching and learning process, some teachers do not clearly understand students' personalities, so it will be difficult for teachers to deliver learning material that arouses students' interest and thus influences the process of imparting knowledge. Consciousness is inhibited. Therefore, the FuzzyTsukamoto method is used to identify student personalities. The aim of this research is to help teachers group and identify students' personalities so that they can easily determine the right treatment method to develop their talents and interests. The system's input is taken from personality traits relevant to the student. The knowledge base is taken from child clinical psychologists and is built on the principle (IF-THEN). The results of the fuzzy calculation are that the student has a personality that is optimistic, quick-tempered, melancholic, or boring. The results of this method test by carrying out systematic calculations and tests, obtain personality results that are in accordance with the student's personality characteristics. and works fine. Therefore, it may be advisable to help teachers determine how to treat students.
Sosialisasi dan Pelatihan Penggunaan Aplikasi Digital untuk Meningkatkan Efisiensi Kerja pada Komunitas Lokal : Pengabdian Mardhiah Masril; Billy Hendrik; Ade Saputra; Firdaus
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 3 No. 4 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 3 Nomor 4 (April 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v3i4.1423

Abstract

Inisiatif "Sosialisasi dan Pelatihan Penggunaan Aplikasi Digital untuk Meningkatkan Efisiensi Kerja di Komunitas Lokal" bertujuan untuk memberdayakan masyarakat di Jorong Cingkariang, Kabupaten Agam, dengan memanfaatkan teknologi digital dalam aktivitas sehari-hari. Program ini berfokus pada peningkatan kemampuan masyarakat dalam menggunakan tiga aplikasi utama: Google Docs untuk kolaborasi dokumen, WhatsApp Group untuk komunikasi antar organisasi, dan Google Calendar untuk pengelolaan waktu. Pelatihan ini berlangsung selama tiga bulan dengan pendekatan hibrida yang menggabungkan pendampingan langsung di lapangan dan modul pembelajaran daring interaktif. Peserta berasal dari berbagai kelompok masyarakat, termasuk kelompok tani, PKK, karang taruna, dan pengurus organisasi lokal. Program ini menerapkan pendekatan partisipatif, di mana peserta tidak hanya menerima materi tetapi juga aktif terlibat dalam praktik langsung. Setiap modul dirancang dengan tahapan pembelajaran yang jelas, dimulai dari pengenalan fitur dasar, simulasi kasus nyata, hingga penerapan dalam kegiatan organisasi mereka. Evaluasi dilakukan melalui pre-test dan post-test yang menunjukkan peningkatan pemahaman peserta sebesar 78% dalam penggunaan aplikasi-aplikasi tersebut. Selain itu, pemantauan setelah pelatihan mengungkapkan bahwa 85% peserta telah menerapkan keterampilan baru mereka dalam kegiatan kelompok. Dampak dari program ini terlihat pada meningkatnya efisiensi kerja berbagai organisasi lokal. Kelompok tani dapat menyusun proposal bantuan dengan lebih cepat, PKK mampu mengkoordinasikan kegiatan dengan lebih efektif melalui grup WhatsApp, dan karang taruna dapat mengelola jadwal acara dengan lebih terstruktur. Tantangan utama yang dihadapi adalah keterbatasan infrastruktur internet di beberapa daerah dan resistensi dari anggota masyarakat yang kurang akrab dengan teknologi. Program ini diharapkan dapat menjadi model untuk pengembangan kapasitas digital masyarakat pedesaan dengan penyesuaian sesuai dengan karakteristik lokal
Penerapan Metode Clustering dengan Algoritma K-Means pada Pengelompokkan Peminatan Mata Kuliah Deti Karmanita; Billy Hendrik
Jurnal Ilmiah Dan Karya Mahasiswa Vol. 1 No. 6 (2023): DESEMBER : JURNAL ILMIAH DAN KARYA MAHASISWA
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jikma.v1i6.1028

Abstract

Choosing a concentration in student academic activities is not an easy thing because it depends on interests, talents and desires, therefore careful consideration is needed so that students do not make a mistake in choosing the desired concentration. This often happens when final semester students do their final assignment but it does not match their field of ability. Choosing a concentration haphazardly without careful consideration can have a negative impact on students, namely difficulty in absorbing lecture material. Therefore, a special method is needed that students can use to determine student concentration. One of the methods used is the K-Means method. The K-Means algorithm is a non-hierarchical method that initially takes a number of population components to become the initial cluster center. At this stage the cluster center is selected randomly from a set of data populations. Next, K-Means tests each component in the data population and marks the component to one of the cluster centers that has been defined depending on the minimum distance between components and each cluster. with a total of 100 data records, using cluster centers C1 70, 82.5, 85, C2 70, 75, 80 and C3 80, 85, 80 produces 6 iterations with the results of Cluster 1. Students are recommended to enter the Expert Systems Concentration. In the calculation above, there are 3 students who are included in cluster 1. Cluster 2 Students are recommended to enter the multimedia programming concentration. In the calculation above, there are 20 students included in cluster 2. Cluster 3 Students are recommended to enter the Cisci and Network Concentration. In the calculation above, there are 34 students included in cluster 3. From validation testing it is obtained: initial and final centroid of the first attribute: 5.83%, second attribute: 31.44%, third attribute: 35.89%. It is hoped to develop concentration clustering for Information Systems majors using other methods, not only the K-Means method, and determining concentration majors using variables other than academic grades, such as non-academic achievement scores which are linear with the study program. In the future, the concentration determination system will be carried out in the information systems study program.
Co-Authors Ade Saputra Akhiruddin Pulungan Amir Salim Khairul Rijal Deti Karmanita Diffri Solihin Siregar Dwana Abdi Juliantho Firdaus Fungki Wahyu Ghinaa Fadhiilah Gunadi Widi Nurcahyo Hasri Awal Juliantho, Dwana Abdi Ladyka Febby Olivia Lubis, Fitri Amelia Sari Lubis, Fitri Sari Lubis, Siti Sahara Mardhiah Masril Mardhiah Masril Ondra Eka Putra Resnawita Resnawita Resnawita Riris Agustin Rizqi Nusabbih Hidayatullah Gaja Roy Efendi Subarja Ruri Hartika Zain Santriawan, Aji Satria Satria, Satria Siti Sahara Lubis Sonia Indhira Sonia Indhira, Sonia Sumijan Uthama, Rayhan Yuhandri