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SISTEM PAKAR MENDIAGNOSA KEMUSYRIKAN UMAT ISLAM DENGAN METODE FORWARD CHAINING: Sistem Pakar Fahrozi, Wirhan; Indra, Evta; Harahap, Charles Bronson
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 1 (2019): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (357.968 KB) | DOI: 10.34012/jusikom.v3i1.160

Abstract

Syirik dalam arti mempersekutukan Tuhan dengan menjadikan sesuatu, sebagai obyek pemujaan, dan tempat menggantungkan harapan dan dambaan. Perbuatan ini mengingkari kemahakuasaan dan kemahasempurnaan-Nya. Syirik adalah pangkal segala kejahatan dan penyelewengan serta rusaknya pikiran atau tingkah laku. Dengan kemajuan teknologi informasi maka dimungkinkan informasi mengenai kemusyrikan umat islam ini dapat diimplementasikan kedalam bentuk sebuah sistem informasi yang akurat mengenai diagnosa kemusyrikan umat islam. Dalam hal ini diperlukan analisa yang tepat untuk mempercepat proses identifikasi. Oleh karena itu perlu menggunakan aplikasi sistem pakar yaitu aplikasi komputer yang berprilaku layaknya seorang ahli. Sistem pakar mampu memecahkan masalah yang biasanya hanya dapat dipecahkan oleh seorang pakar dengan menggunakan basis pengetahuan, fakta dan teknik penalaran. Dalam analisa ini menggunakan metode Forward Chaining sebagai mesin inferensi. Dalam pendekatan ini dimulai dari informasi masukan dan selanjutnya menggambarkan kesimpulan. Hasil penelitian ini berupa membangun sistem pakar untuk mendiagnosa kemusyrikan umat islam berbasis web agar nantinya dapat diakses secara daring.
Pelatihan Perakitan Komputer Pada SMK Tritech Indonesia Hardianto, Hardianto; Wahyuni, Linda; Rosnelly, Rika; Nasution, M. Irfan Aldy; Harahap, Charles Bronson
Publikasi Pengabdian Masyarakat Vol 4 No 2 (2024): PUBLIDIMAS Vol. 4 No. 2 NOVEMBER 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v4i2.395

Abstract

In the current era of globalization, computers are data processing machines and calculating tools, where the results or output can be printed via a printer. Input, process and output of a computer are the work processes of the 3 most important elements, namely hardware, software and users. Before users use a computer, in terms of assembling a computer, they need to know how to put together the parts needed to run the computer properly. Knowing the functions of the hardware components so that there are no mistakes in assembling a computer. Although assembling a computer is basically quite easy, some research is needed to get good results. There are many different price and quality options for computer assembly components. By assembling a computer yourself, we can choose the type of components, features, and computer facilities that best suit our needs. Before assembling a computer, you must prepare well, especially if there is hardware and software installed. Assembling and installing a computer is an important step in creating and maintaining a reliable and effective computer system. To ensure optimal system performance and security, a thorough understanding of assembly and installation methods is essential.
Optimalisasi Pembelajaran Coding Berbasis Kecerdasan Buatan untuk Meningkatkan Literasi Digital Siswa Wahyuni, Linda; Rizal, Chairul; Rosnelly, Rika; Sari, Rita Novi; Hardianto, Hardianto; Harahap, Charles Bronson
JPM: Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v6i3.2785

Abstract

This community service program aims to enhance the professional capacity of teachers through mastery of modern educational technologies. The implementation of this program is based on several issues identified within the partner institution, including teachers’ limited understanding of artificial intelligence, their low ability to integrate coding into learning activities, and the suboptimal use of digital tools and media in the classroom. These challenges contribute to students’ low digital literacy and the insufficient application of project-based learning that aligns with current technological developments. The training program was designed to strengthen teachers’ competencies in implementing AI-based coding instruction through participatory approaches and hands-on practice. The learning modules were developed contextually to meet the specific needs of the partner school, enabling teachers to adapt them easily into their teaching practices. The results of the program indicate significant improvements in teachers’ understanding of fundamental AI concepts, their ability to integrate coding into the learning process, and their capacity to apply digital technologies ethically and effectively. Enhanced student engagement was also observed, as learners became more enthusiastic and active in participating in project-based learning activities involving AI applications. Although the program faced several limitations, such as inadequate technological equipment and limited implementation time, it has established a strong foundation for the development of more structured and sustainable follow-up activities. Overall, the outcomes demonstrate that strengthening teachers’ competencies in artificial intelligence plays a crucial role in fostering an innovative digital learning ecosystem aligned with the demands of 21st-century education.
Implementation of the Least Square Method in Website-Based Product Sales Prediction Alwi, Alfa Rizki; Harahap, Charles Bronson
Jurnal ICT : Information and Communication Technologies Vol. 16 No. 2 (2025): October, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v16i2.270

Abstract

Sales play a crucial role in determining the continuity and growth of a company. PT. Medan Bajaindo, which operates in the steel product sales sector, requires a system capable of accurately predicting future sales to support decision-making and inventory planning. Currently, sales data analysis is still conducted manually, which is inefficient and prone to errors in forecasting. This research aims to design and develop a web-based sales prediction system by applying the Least Square method. The Least Square method is chosen because it can predict data trends based on historical sales patterns with relatively low error rates. The system is developed using web-based programming languages and supported by a database for storing sales data. The testing results show that the developed system can automatically calculate predictions and present sales trend information more quickly, accurately, and structurally compared to the manual method. With this system, the company’s management can more easily plan sales strategies and stock procurement in a timely manner.