Garuda - Garba Rujukan Digital

Determination of Sub-Contractors Using AHP and SAW Method Arif Zikri; Adam Syahputra Cristanto; Imelda Imelda
Journal of Systems Engineering and Information Technology (JOSEIT) Vol 1 No 1 (2022): March 2022
Publisher : Ikatan Ahli Informatika Indonesia

One factor in the durability of a contractor company is its sub-contractor. The management of sub-contractors for companies engaged in construction services is one aspect of the company's durability to be able to complete the project that the selection is doing manually by viewing one single file That is sent by the company who wants to be a sub-contactor, it is of course besides very troublesome also inefficient and time consuming quite a while. In determining the winner of the Procurement Committee is still having difficulty to determine the standard of the company that will become a sub-contractor, not to mention the assessment is subjective so that the elected candidate is not the best candidate. The methods used in this research use Analytical Hierarchy Process (AHP) for weighting of criteria and for calculation of value using Simple Additive Weighting (SAW) of the results of the research obtained from the SAW method used Obtained by the best sub-contractor of PT. 4Cipta with a total of 0.962 from 5 alternatives listed

Optimizing Academic Information Delivery: A Hybrid AI Chatbot Model Andika Isma; Fatimah Nur Arifah; Arief Zikry; Muhammad Bitrayoga; Eri Mardiani
Jurnal MediaTIK Volume 7 Issue 1, Januari (2024)
Publisher : Jurusan Teknik Informatika dan Komputer

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

This research investigates the implementation of artificial intelligence (AI)-based chatbots in a hybrid model in Computer Science and Computer Engineering departments. The research method used was an online survey of students, providing direct insight from key users of this technology. The findings show significant adoption of AI chatbots in this academic environment, indicating good acceptance from users. The research results provide an in-depth understanding of the extent to which chatbots have been implemented in facilitating the reception of information in the department. AI chatbots have been proven to make a positive contribution in optimizing the process of receiving information, providing fast and accurate answers to students' common questions. The conclusions of this study underscore the potential of chatbots to improve the overall quality of academic services.

Analisis Penggunaan AI dalam Keberhasilan Customer Experience Pengguna Aplikasi E-Commerce Shopee Zikry, Arief; Muhammad Bitrayoga; Siska Yulia Defitri; Akhmad Dahlan; Nina Dwi Putriani
Indo-Fintech Intellectuals: Journal of Economics and Business Vol. 4 No. 3 (2024): Indo-Fintech Intellectuals: Journal of Economics and Business
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ifijeb.v4i3.1387

E-commerce has experienced rapid growth with the adoption of digital technology particularly in Southeast Asia. AI enables Shopee to provide personalized product recommendations, responsive customer service, and secure shopping experiences. This study analyzes the use of Artificial Intelligence (AI) technology in enhancing user experience on the Shopee e-commerce platform. The research employs a mixed-method approach involving 400 Shopee users in Indonesia. Product recommendation and user experience personalization both significantly increase user satisfaction. User experience personalization has a greater influence than product recommendations in increasing user satisfaction. The implications of this study suggest that AI not only enhances Shopee's operational efficiency but also strengthens customer satisfaction and loyalty, making it a key element in maintaining competitiveness in today's competitive e-commerce industry

Analisis Penggunaan AI dalam Keberhasilan Customer Experience Pengguna Aplikasi E-Commerce Shopee Arief Zikry; Muhammad Bitrayoga; Siska Yulia Defitri; Akhmad Dahlan; Nina Dwi Putriani
Indo-Fintech Intellectuals: Journal of Economics and Business Vol. 4 No. 3 (2024): Indo-Fintech Intellectuals: Journal of Economics and Business
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ifijeb.v4i3.1387

E-commerce has experienced rapid growth with the adoption of digital technology particularly in Southeast Asia. AI enables Shopee to provide personalized product recommendations, responsive customer service, and secure shopping experiences. This study analyzes the use of Artificial Intelligence (AI) technology in enhancing user experience on the Shopee e-commerce platform. The research employs a mixed-method approach involving 400 Shopee users in Indonesia. Product recommendation and user experience personalization both significantly increase user satisfaction. User experience personalization has a greater influence than product recommendations in increasing user satisfaction. The implications of this study suggest that AI not only enhances Shopee's operational efficiency but also strengthens customer satisfaction and loyalty, making it a key element in maintaining competitiveness in today's competitive e-commerce industry

AI-OPTIMIZATION FOR LESSON PLANNING TO ADDRESS STUDENT PSYCHOLOGY GAPS IN ELEMENTARY SCHOOLS Nurfatih, Muhammad Sulkhan; Zikry, Arief
Jusikom : Jurnal Sistem Komputer Musirawas Vol 9 No 2 (2024): Jusikom : Jurnal Sistem Komputer Musirawas DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v9i2.2393

This study aims to optimize the use of artificial intelligence technology, specifically GPT (Generative Pre-trained Transformer), in creating personalized lesson plans (RPP) tailored to the psychology and learning styles of students at SD Negeri 2 Muara Enim. The use of GPT is expected to assist teachers in understanding the individual psychological needs of students, addressing the limitations of counseling services at the school. The research methodology includes three main phases: analysis, system design, and implementation. During the analysis phase, demographic, academic, psychological, and contextual data of students were collected to identify key correlations influencing academic performance. This data was then used to train a machine learning model using the k-means clustering algorithm, aimed at grouping students based on their learning characteristics. The findings indicate that GPT was successfully implemented to generate lesson plans aligned with students' psychological profiles and learning styles. The developed web-based system enables teachers to effectively personalize the learning process. Moreover, the application simplifies the lesson plan creation process by offering teaching strategy recommendations relevant to each student group. In conclusion, the use of GPT proves beneficial in enhancing the effectiveness of classroom learning and provides a solution to teachers' challenges in understanding students' psychological needs.

OPTIMALISASI PENJUALAN IKAN SALAI BERBASIS DIGITAL MARKETING PADA UMKM KELUARGA MAJU BERSAMA DI KABUPATEN LAHAT Fitriadi, Heri; Zikry, Arief; Sulkhan Nurfatih, Muhammad
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 8, No 2 (2025): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v8i2.888-895

Pengabdian masyarakat yang dilakukan di UMKM Keluarga Maju Bersama, Kabupaten Lahat, bertujuan untuk meningkatkan kualitas dan daya saing produk ikan salai melalui penerapan inovasi teknologi dan penguatan manajemen usaha. Program ini juga menitikberatkan pada diferensiasi produk dan pembentukan identitas merek yang khas, sehingga produk ikan salai mampu menonjol di pasaran. Selain itu, proyek ini bertujuan untuk mendorong praktik bisnis berkelanjutan dengan memberikan edukasi kepada pemilik UMKM tentang teknik produksi yang efisien dan pengelolaan sumber daya. Permasalahan utama yang dihadapi meliputi rendahnya kualitas kemasan dan strategi pemasaran yang kurang efektif, sehingga produk sulit bersaing di pasar. Metode yang digunakan mencakup pendekatan kuantitatif dengan desain deskriptif, pengumpulan data melalui observasi, wawancara, dan kuesioner, serta analisis deskriptif dan inferensial secara statistik. Hasil penelitian menunjukkan bahwa penerapan rumah pengasapan dan vacuum sealer secara signifikan meningkatkan kualitas dan daya tarik produk, serta memperpanjang masa simpan ikan salai. Selain itu, pelatihan pemasaran digital meningkatkan pemahaman dan keterampilan mitra dalam mempromosikan produk mereka, sehingga terjadi peningkatan penjualan sebesar 50% dalam enam bulan. Dengan demikian, kegiatan pengabdian masyarakat ini berhasil menciptakan model pengembangan UMKM berbasis teknologi dan pemasaran digital.

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