Article Per Year (5 Year)
p-Index From 2020 - 2025
1.203
P-Index
This Author published in this journals
All Journal JSM (Jurnal SIFO Mikroskil) Journal Information System Development Journal of Computer Networks, Architecture and High Performance Computing Jurnal Sains Teknologi dan Sistem Informasi Jurnal Pengabdian Masyarakat Multi Disiplin Ilmu
Wenripin Chandra
STMIK Mikroskil
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Environmental Science

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
Sistem Rekomendasi Podcast menggunakan Metode N-Gram dan Term Frequency Vincent Theonardo; Jimmy Lohil; Goldwin Chantesuta; Wenripin Chandra; Arwin Halim
Jurnal SIFO Mikroskil Vol 21, No 2 (2020): JSM VOLUME 21 NOMOR 2 TAHUN 2020
Publisher : Lembaga Penelitian & Pengabdian pada Masyarakat (LPPM) Mikroskil

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55601/jsm.v21i2.729

Abstract

One of the main forms of information and entertainment presentation is in the form of on-demand audio content or often referred as podcast. The problem met is the difficulty of users to find podcasts that match their preferences among hundreds of thousands of podcasts that are now available on the internet. Besides the number of podcasts, the incompletion of podcasts metadata is one of the problems in developing a recommendation system in general.This system is designed by utilizing N-Gram and Term Frequency to generate queries from the title and description of a podcast which will then be used to find other podcasts that are similar by utilizing Cosine Similarity calculations. The testing phase is done through by testing the system using nDCG calculations to determine the relevance level of the recommendation results. From the results, the average value of the relevance level of podcast recommendations is 53.8% and the best average f1-score of the 10 best categories is 14%.
Dekomposisi dan Rekombinasi Pengacakan Citra Digital dengan Logistic Mapping Steven Steven; Ivan Audris; Vanessa Priscilla Wijaya; Ng Poi Wong; Wenripin Chandra
Jurnal SIFO Mikroskil Vol 22, No 1 (2021): JSM VOLUME 22 NOMOR 1 TAHUN 2021
Publisher : Fakultas Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55601/jsm.v22i1.743

Abstract

Beberapa citra digital membutuhkan privasi dan kerahasiaan, seperti citra medis, citra diagnosa medis jarak jauh, citra rahasia melalui komunikasi internet, atau citra rahasia kemiliteran. Salah satu cara untuk mengamankan informasi di dalam citra digital adalah dengan melakukan pengacakan (scrambling).Penelitian ini mengacak nilai piksel citra digital dengan mengubah nilai piksel dari sistem bilangan desimal menjadi bilangan basis empat (kuartener), kemudian mengurai (dekomposisi) keempat bit kuartener dan melakukan pengacakan terhadap keempat posisi bit berdasarkan pada bilangan acak yang dihasilkan oleh algoritma logistic mapping, kemudian bit hasil pengacakan digabungkan kembali (rekombinasi) untuk menghasilkan nilai piksel baru. Logistic mapping merupakan penghasil bilangan acak yang mampu menghasilkan deretan bilangan yang acak berdasarkan nilai kunci ?µ (3.569945 µ 4) dan nilai awal x0 (0 x0 1).Hasil penelitian ini dapat melakukan pengacakan terhadap citra digital dengan dekomposisi dan rekombinasi nilai piksel berdasarkan pada nilai acak yang dihasilkan oleh algoritma logistic mapping. Hasil pengujian menunjukkan bahwa pasangan kunci-1 (?µ1, x1) memiliki sensitivitas paling tinggi dalam mengacak citra, kemudian diikuti oleh pasangan kunci-2 (?µ2, x2), pasangan kunci-3 (?µ3, x3) dan pasangan kunci-4 (?µ4, x4).
Prediksi Klasifikasi Perawatan pada Dataset Kanker Payudara Coimbra Memakai Metode Naive Bayes Ferawaty Ferawaty; Wenripin Chandra; Kelvin Ivanka
Journal Information System Development Vol 5, No 1 (2020): Journal Information System Development (ISD)
Publisher : UNIVERSITAS PELITA HARAPAN

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

Abstract

Breast cancer is a dreaded disease and a major cause of death. In this study, the Naïve Bayes method is used to predict the category of breast cancer treatment for the Breast Cancer Coimbra Dataset. Test results involving nine variables in the dataset resulted in 44.8% of the "Healthy Controls" category and 55.2% of the "Patient" category.Keywords : Breast Cancer, Naive Bayes, Coimbra, Classification.
Facial Recognition on System Prototype to Verify Users using Eigenface, Viola-Jones and Haar Robin Robin; Aldrick Handinata; Wenripin Chandra
Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 2 (2021): Journal of Computer Networks, Architecture and High Performance Computing, July
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v3i2.1058

Abstract

Facial recognition is one of the most popular way to authenticate user into a system. This method is preferable considering the tendency of users for using the same password across multiple sites which made the user has already made his own account securities in vulnerable states. Using biometrics might supply solutions to solve this problem and facial recognition is one of the best biometric methods can be apply as a digital account security solution. This study to design a prototype system implementing facial recognition to verify users to measure how accurate these methods are. The method used here is Viola-Jones for face detection, Eigenface and Haar feature for face recognition from the OpenCV. The system was designed in Java. Based on the test results from the system designed, system can recognize user face with 100% accuracy if faces are shot in a well desirable condition. The system is able to recognize the user's face with various expressions including with or without glasses. However, the system has difficulty in recognizing user’s face in facing up, down, sideways position or blocked by accessories or body parts such as hands. After some experiment, it was proven that the system designed is accurate, reliable and safe enough to be implemented to digital authorization process.
Implementasi Metode SAW dan SMART dalam Pemilihan Jam Tangan Terbaik Segar Napitupulu; Aulia Rizky Muhammad Hendrik Noor Asegaff; Mirza Ilhami; Ali Akbar Lubis; Wenripin Chandra
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 4 No. 1 (2024): April 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v4i1.2846

Abstract

Nowadays watches have become important items that are effective in telling time and complementing your appearance. Along with the rapid development of information technology, watches with various brands, specifications and prices have emerged. As a result, people become confused in choosing due to various considerations, so a calculation method that produces a ranking assessment to help in choosing a watch is needed. Therefore, research was carried out using the SAW and SMART methods, both of which are included in the Multiple Criteria Decision Making (MCDM) which can calculate various alternatives and attributes. Based on the research results, it was found that the SAW and SMART methods showed similar top rankings with the suitability level of the SAW method with 99.53033% and the SMART method with 99.42684%.
Pengenalan Dasar Komputer dan Bidang Ilmu Komputer kepada Siswa Kelas XII pada Sekolah Bangun Insan Mandiri Ferawaty; Robin; Wenripin Chandra; Daniel Cassa Agustinus
Jurnal Pengabdian Masyarakat Disiplin Ilmu Vol. 3 No. 1 (2025): Jurnal Pengabdian Masyarakat Multi Disiplin ILmu Januari 2025
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpmasdi.v3i1.4260

Abstract

Komputer telah menjadi sesuatu yang umum digunakan dalam kehidupan sehari-hari. Walaupun telah menjadi hal yang umum, pengguna komputer khususnya pelajar banyak yang masih memiliki tingkat familiaritas yang rendah terhadap komputer yang digunakan. Seiring dengan misi program studi Informatika Universitas Pelita Harapan (UPH) yaitu menyelenggarakan pendidikan berkualitas dan terus menerus mengikut perkembangan ilmu teknologi informatika serta untuk memenuhi salah satu dari Tri-Dharma perguruan tinggi yaitu melakukan pengabdian kepada masyarakat (PkM) maka program studi (prodi) Informatika UPH Kampus Medan bermitra dengan Sekolah Bangun Insan Mandiri (BIM) Medan menyelenggarakan PkM yang memperkenalkan komputer kepada siswa Kelas XII
Co-Authors Aldrick Handinata Ali Akbar Lubis Arwin Halim Aulia Rizky Muhammad Hendrik Noor Asegaff Daniel Cassa Agustinus Ferawaty Ferawaty Goldwin Chantesuta Ivan Audris Jimmy Lohil Kelvin Ivanka Mirza Ilhami Ng Poi Wong Robin Robin Robin Segar Napitupulu Steven Steven Vanessa Priscilla Wijaya Vincent Theonardo