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All Journal International Journal of Artificial Intelligence Research Journal of Information Technology and Computer Engineering Dinasti International Journal of Education Management and Social Science Jurnal Ilmu Teknik dan Komputer Kapas: Kumpulan Artikel Pengabdian Masyarakat
Rudiarto, Sabar
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences Other

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SISTEM APLIKASI MANAJEMEN MASJID PADA MASJID MANARUL ‘AMAL UNIVERSITAS MERCU BUANA JAKARTA Rudiarto, Sabar; Rifqi, Muhammad
Jurnal Ilmu Teknik dan Komputer Vol 1, No 1 (2017)
Publisher : Universitas Mercu Buana

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

Abstract

Dalam suatu laporan pada salah satu media sosial menunjukkan bahwa statistik penggunaan komputer di dunia dewasa ini mengalami kenaikan setiap tahunnya, sayangnya walaupun demikian belum sepenuhnya diimbangi dengan kemampuan pengguna dalam mengoperasikan aplikasi pada komputer tersebut. Masjid Manarul ‘Amal Universitas Mercu Buana Jakarta yang terletak di Jakarta Barat berdiri tidak kurang dari 10 tahun yang silam dalam melakukan manajemen masjid masih menggunakan perangkat aplikasi MS Excell maupun Ms Word, sehingga kesulitan dalam dokumentasi maupun hal-hal lain sehingga di rasa kurang efektif, oleh sebab itulah peneliti untuk membuat aplikasi yang diharapkan dapat membantu meningkatkan kinerja. Metode deskriptif kualitatif, simulasi dan wawancara adalah metode yang digunakan oleh peneliti dalam meningkatkan kinerja yang ada selama ini dengan memanfaatkan Microsoft Access. Hasil yang diharapkan dengan pembuatan sistem aplikasi tersebut selain meningkatkan kinerja juga dapat memberikan hasil laporan secara optimal, efektif dan efisien pada manajemen masjid itu sendiri.
Eksplorasi Kemampuan Data Science: Penerapan Algoritma Naive Bayes di SMK Media Informatika Dwiasnati, Saruni; Rudiarto, Sabar; Yuliarty, Popy
Kapas: Kumpulan Artikel Pengabdian Masyarakat Vol 3, No 1 (2024)
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/ks.v3i1.2780

Abstract

Media pembelajaran adalah komponen krusial dalam pelaksanaan proses pembelajaran, terutama di era yang dipenuhi dengan berbagai data. Pengabdian kepada masyarakat ini terfokus pada eksplorasi dan implementasi Algoritma Naive Bayes di SMK Media Informatika dengan tujuan untuk meningkatkan literasi data science di kalangan pelajar. Inisiatif ini bertujuan untuk mengeksplorasi kemungkinan penerapan Algoritma Naive Bayes sebagai alat prediktif dan klasifikasi dalam kurikulum sekolah menengah. Metode yang diaplikasikan melibatkan pengajaran dasar-dasar Algoritma Naive Bayes, diikuti dengan penggunaan praktis dalam proyek-proyek kelas menggunakan data nyata. Hasilnya menunjukkan peningkatan pemahaman siswa tentang model probabilistik dan kemampuan mereka dalam menggunakan model tersebut untuk menyelesaikan masalah klasifikasi yang sederhana. Pengabdian ini juga bertujuan untuk mengidentifikasi tantangan dan peluang dalam mengintegrasi data science secara lebih mendalam dalam pendidikan SMK, serta memberikan rekomendasi untuk pengembangan kurikulum lebih lanjut. Diharapkan, pengabdian yang dilakukan ini akan memberikan perspektif baru dalam pengajaran data science di tingkat sekolah menengah dan mendorong penggunaan teknik analitik terbarukan yang dapat diimplementasikan dalam dunia pendidikan vokasional.
Implementasi Forward Chaining dan Certainty Factor pada Aplikasi Konsultasi Kecantikan Sari, Bunga Ratna; Rudiarto, Sabar
JITCE (Journal of Information Technology and Computer Engineering) Vol. 5 No. 01 (2021)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.5.01.8-17.2021

Abstract

Having skin that is free from problems is a dream for most women, especially in Indonesia. However, the problem is not all women are aware that in carrying out treatment or using a product, it must match the needs of each skin type. The rise of beauty salons that operate but are not under the auspices of specialist doctors and also cheap beauty products that are claimed to solve skin problems in an instant makes women easily tempted. This of course can have a big negative impact when the maintenance procedures performed are not up to standard, and there are dangerous ingredients in the products used. For this reason, consulting with a specialist or the expert is indispensable. Researchers used the forward chaining method and certainty factors in building this system which is expected to be used in determining facial skin problems and their solutions based on case studies at the XYZ beauty clinic. The Forward Chaining method is used to draw conclusions based on the facts entered. While certainty factor is used to calculate the trust value from the existing conclusions. This method requires 2 main values ​​in performing calculations, namely MB (measurement of belief) and MD (measurement of disbelief). Based on the research that has been done, the system was successfully built and gave an accuracy value of 97.35%.
A Novel Method for L Band SAR Image Segmentation Based on Pulse Coupled Neural Network Harwikarya, Harwikarya; Rudiarto, Sabar; Sebastian, Glorin
International Journal of Artificial Intelligence Research Vol 4, No 2 (2020): December 2020
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (998.932 KB) | DOI: 10.29099/ijair.v4i2.162

Abstract

Pulse Coupled Neural Network (PCNN) is claimed as a third generation neural network. PCNN has wide purpose in image processing  such as segmentation, feature extraction, sharpening etc.  Not like another neural network architecture, PCNN do not need training. The only weaknes point  of PCNN is parameter tune due to  seven parameters in its five equations. In this research we proposed a novel method for segmentation based on modified PCNN.  In order to evaluate the proposed method, we processed L Band Multipolarisation  Synthetic Apperture Radar Image. The Results showed all area extracted both by using PCNN and ICM-PCNN from the SAR image are match to the groundtruth. There fore the proposed method is work properly.Copyright © 2017  International Journal of  Artificial Intelegence Research.All rights reserved.
Building Community-Based Economy At Neighborhood (RT) Level Through People’s Business And Digital Sales: Implementation Study Of WarungRakyat Application Firdaus, Diky; Derajad Wijaya, Hery; Rudiarto, Sabar; Utama, Andyan Pradipta; Sugiharjo, Joko; Pradopo, Loeky Rono
Dinasti International Journal of Education Management And Social Science Vol. 7 No. 1 (2025): Dinasti International Journal of Education Management and Social Science (Octob
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i1.5221

Abstract

This study explores the integration of communal values, physical shelf arrangement (basket marketing), and digital technology through the WarungRakyat application to empower the neighborhood-level economy (RT). Using mixed methods, including surveys, focus group discussions, and Apriori algorithm analysis, this study was conducted in two RTs in Meruya Selatan, Jakarta Barat. The results indicate that the application improved business efficiency and product visibility. Community collaboration (gotong royong) strengthened logistics and participation. The study offers an integrative empowerment model aligned with the SDGs.
Co-Authors Derajad Wijaya, Hery Diky Firdaus Dwiasnati, Saruni Harwikarya Harwikarya Loeky Rono Pradopo Muhammad Rifqi Popy Yuliarty, Popy Raden Joko Sugiharjo Sari, Bunga Ratna Sebastian, Glorin Utama, Andyan Pradipta