Garuda - Garba Rujukan Digital

IMPLEMENTASI ARTIFICIAL INTELLIGENCE UNTUK MENINGKATKAN INOVASI PEMBELAJARAN PADA SMPN 1 PAGEDANGAN Rafli Adi Prasetya; Dwi Agung Septian; Muhamad Rafli Harahap; Handika Duwi Purnomo; Farhat Adriansyah; Dewa Pragusha; Rangga Maulana; Maulana Ichsan; Mohd. Zacky Bharya; Oki Ahmad Fauzi; Jiyan Suhada
Abdi Jurnal Publikasi Vol. 3 No. 6 (2025): Juni
Publisher : Abdi Jurnal Publikasi

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This community service activity aims to enhance innovation in the learning process by utilizing Artificial Intelligence (AI) technology at SMPN 1 Pagedangan. In today's digital era, the use of AI in education offers a more personalized, adaptive, and interactive learning experience. However, the understanding of this technology among teachers and students remains relatively low. Therefore, through this program, the community service team conducted a series of activities including workshops, training, and mentoring sessions designed to introduce the basic concepts of AI and its application in the educational context. The materials presented covered topics such as AI fundamentals, the creation of simple educational chatbots, and the use of AI-powered applications to support teaching and learning processes. The implementation method combined both theoretical and practical approaches in an interactive format. The results indicated an improvement in the participants' understanding and enthusiasm towards AI technology. Additionally, participants were able to apply AI in simple forms to support daily classroom learning activities. This initiative not only provided new knowledge but also improved digital literacy and encouraged innovation in learning methods. The program is expected to serve as an initial implementation model for other schools in adopting AI in education. Thus, the use of AI can be further expanded and optimized to support the transformation of education in the digital age

Analisis Kinerja Jaringan Internet di Lingkungan Akademik dengan Pendekatan Quality of Service (QoS): Studi Kasus di Universitas Pamulang Jiyan Suhada; Hari Setyawan; Kelvin Andrean
Journal on Pustaka Cendekia Informatika Vol. 3 No. 1 (2025): Journal on Pustaka Cendekia Informatika: Volume 3 Nomor 1 February - May 2025
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v3i1.83

The availability of reliable and high-quality internet networks is critical in supporting the learning process in higher education institutions. This study aims to analyze the quality of the internet network at Universitas Pamulang using the Quality of Service (QoS) method to improve learning performance. The research was conducted by measuring QoS parameters, including throughput, delay, packet loss, and jitter at various network points within the campus area. Data collection methods were carried out using network measurement tools and simulations of various network load scenarios. The research results show that the internet network performance at Universitas Pamulang varies significantly in quality across different locations. The measurement results indicate an average throughput of 4.94 bps, an average delay of 0 ms, an average jitter of 0, and an average packet loss of 11.46, based on TIPHON standards. Overall, the QoS index of the internet network at Universitas Pamulang is 2.75. Recommendations for improvements include increasing bandwidth capacity, optimizing network configuration, and implementing more efficient traffic management

Implementasi Basis Data Sederhana Menggunakan MySQL/PostgreSQL Jesika Vinatalia Dachi; Jiyan Suhada
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 2 (2025): Juni: Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i2.621

Databases play an essential role in modern information systems because they enable the efficient storage, management, and retrieval of structured data. This study focuses on the implementation of a simple database using two relational database management systems (RDBMS), namely MySQL and PostgreSQL. The research stages are carried out through requirements analysis, designing entity-relationship diagrams, implementing tables and their relationships, and testing the system to assess functionality. The case study used is student data recording, where both RDBMSs are tested through a series of basic CRUD (Create, Read, Update, Delete) operations. The results show that both MySQL and PostgreSQL are capable of carrying out these operations effectively while maintaining data integrity and consistency. However, PostgreSQL offers additional advantages due to its support for more complex data types, a better level of compliance with SQL standards, and advanced features that support the needs of large-scale application development. Conversely, MySQL remains superior in terms of ease of use and application to simpler needs, making it more practical for small projects or applications with standard workloads. Based on these findings, it can be concluded that both RDBMSs are equally suitable for use, but the ideal choice depends heavily on the context of the needs; PostgreSQL is more suitable for applications that demand high scalability and size, while MySQL remains relevant for lightweight and efficient implementations.

Perancangan Basis Data: Konsep Entitas, Atribut, dan Relasi Fathan Mujaddid Akmal; Jiyan Suhada
Buletin Ilmiah Ilmu Komputer dan Multimedia Vol 3 No 3 (2025): Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) (INPRESS)
Publisher : Shofanah Media Berkah

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Perancangan basis data merupakan tahap penting dalam pengembangan sistem informasi yang menentukan kualitas pengelolaan data. Salah satu pendekatan yang banyak digunakan adalah Entity Relationship Diagram (ERD), yang berfungsi untuk memodelkan hubungan antar entitas, atribut, serta relasi di dalam sistem. Artikel ini membahas konsep dasar entitas, atribut, dan relasi, serta meninjau beberapa penelitian terbaru mengenai penerapannya dalam perancangan basis data. Dengan menggunakan metode Systematic Literature Review (SLR), studi ini menganalisis kontribusi ERD dalam meningkatkan efisiensi desain database, meminimalisir kesalahan konseptual, serta mendukung pengembangan sistem yang lebih terstruktur. Hasil kajian menunjukkan bahwa pemahaman mendalam mengenai komponen inti ERD sangat penting untuk menghasilkan rancangan basis data yang konsisten, efisien, dan mudah diimplementasikan. Penelitian ini juga memberikan rekomendasi strategi perbaikan desain, seperti identifikasi entitas yang tepat, penggunaan simbol standar, serta evaluasi iteratif desain database.

Implementasi Basis Data Sederhana Menggunakan MySQL/PostgreSQL Jesika Vinatalia Dachi; Jiyan Suhada
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 2 (2025): Juni: Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i2.621

Databases play an essential role in modern information systems because they enable the efficient storage, management, and retrieval of structured data. This study focuses on the implementation of a simple database using two relational database management systems (RDBMS), namely MySQL and PostgreSQL. The research stages are carried out through requirements analysis, designing entity-relationship diagrams, implementing tables and their relationships, and testing the system to assess functionality. The case study used is student data recording, where both RDBMSs are tested through a series of basic CRUD (Create, Read, Update, Delete) operations. The results show that both MySQL and PostgreSQL are capable of carrying out these operations effectively while maintaining data integrity and consistency. However, PostgreSQL offers additional advantages due to its support for more complex data types, a better level of compliance with SQL standards, and advanced features that support the needs of large-scale application development. Conversely, MySQL remains superior in terms of ease of use and application to simpler needs, making it more practical for small projects or applications with standard workloads. Based on these findings, it can be concluded that both RDBMSs are equally suitable for use, but the ideal choice depends heavily on the context of the needs; PostgreSQL is more suitable for applications that demand high scalability and size, while MySQL remains relevant for lightweight and efficient implementations.

Meningkatkan Kesadaran Kritis terhadap Konten Digital dan Tantangan Etika dalam Pemanfaatan AI pada SMK PKP 1 Jakarta Jiyan Suhada; Gigih Amrillah Ibnurhus; Faruk Muhamad
Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat Vol. 2 No. 4 (2025): Oktober: Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bersama.v2i4.2438

This Community Service Program (PkM) arises from the significant challenges faced by Vocational High School (SMK) students in adapting to the rapid progression of the digital era and the widespread use of artificial intelligence (AI). In an environment flooded with online information, many students tend to accept and share digital content without adequately verifying its validity, leaving them susceptible to misinformation, deceptive media, and inaccurate data. Ethical risks linked to AI misuse have also surfaced, including plagiarism through automated text-generation tools, excessive reliance on chatbots without ethical consideration, and potential privacy breaches due to limited awareness of technological vulnerabilities. To respond to these issues, the PkM program adopts an educational strategy focused on critical digital literacy training and mentoring tailored for SMK students. The initiative highlights the importance of critical thinking in evaluating and validating digital information, while simultaneously promoting ethical responsibility in using AI. Through workshops, case-based simulations, group discussions, and practical content analysis, students learn to recognize digital manipulation and reflect on the social implications of AI. Expected outcomes include increased ethical digital awareness, the development of a sustainable training module, academic publications, and long-term collaboration between schools and universities, ultimately preparing students to be competent, ethical, and responsible digital citizens.

Penerapan K-Means Klustering dengan Algoritma Kluster Dinamik untuk Meningkatkan Kualitas Kluster pada Segmentasi Dokter Potensial: Studi Kasus PT. XYZ: Penelitian Hari Setyawan; Jiyan Suhada; Kelvin Andrean
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.4781

The traditional K-Means algorithm has a significant weakness in its reliance on random cluster center initialization, which often results in unstable and suboptimal segmentation. This study aims to improve the quality of potential physician segmentation by proposing the integration of a dynamic clustering algorithm into the K-Means framework. The applied method is K-Means augmented with a dynamic clustering algorithm, using RFM (Recency, Frequency, Monetary) attributes derived from physician profile data. Cluster quality is evaluated using the Davies- Bouldin Index (DBI) and Purity. The proposed approach successfully improved segmentation accuracy by 25.15% compared to traditional K-Means. Quantitative analysis shows a significant improvement in cluster quality, indicated by a decrease in the DBI value from 0.846 to 0.411. Furthermore, the Purity value increased from 0.5294 to 0.7647, indicating improved cluster homogeneity. These results demonstrate that the dynamic clustering algorithm effectively addresses initialization sensitivity by iteratively adjusting cluster configurations based on inter- cluster and intra-cluster similarity. The final segmentation yielded four clusters of potential physicians with distinct RFM characteristics, enabling more targeted marketing strategies. The implementation of this model provides strategic benefits for pharmaceutical companies, including the ability to allocate promotional and sponsorship resources more efficiently based on a more accurate and reliable mapping of potential physicians.

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