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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Informatika: Jurnal Pengembangan IT
Maharani, Aprilia Zahra
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Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Neuroscience Transportation

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Pemanfaatan Fitur Instagram untuk Efektivitas Komunikasi Uddin, Badie; Maharani, Aprilia Zahra; Baren, Kailal Wafa Auladal
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 6 (2024): Desember 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i6.8153

Abstract

Abstrak - Penelitian ini bertujuan untuk menganalisis pemanfaatan fitur Instagram dalam meningkatkan efektivitas komunikasi antara individu dan organisasi. Instagram menjadi platform media sosial paling populer yang menawarkan berbagai fitur seperti Stories, IGTV, Reels, dan Direct Messages. Fitur ini dapat digunakan untuk berkomunikasi dengan audiens secara efektif dan interaktif. Metode penelitian yang digunakan adalah survei dan analisis konten dengan melibatkan sejumlah pengguna aktif Instagram sebagai responden. Hasil penelitian menunjukkan bahwa fitur Instagram dapat meningkatkan efektivitas komunikasi melalui peningkatan keterlibatan, penyampaian pesan lebih visual dan kreatif, serta kemudahan dalam berbagi informasi secara langsung, Selain itu, penggunaan fitur Stories terbukti lebih efektif dalam membangun hubungan personal dan interaksi langsung dengan audiens. Penelitian ini menyimpulkan bahwa pemanfaatan fitur Instagram secara strategis dapat menjadi alat komunikasi yang efektif, baik untuk keperluan individu maupun organisasiKata kunci: Instagram, Komunikasi, Media Sosial, Efektivitas, Fitur Abstract - This research aims to analyze the use of Instagram features in increasing the effectiveness of communication between individuals and groups. Instagram, as one of the most popular social media platforms, offers various features such as Stories, IGTV, Reels, and Direct Messages which can be used to communicate with the audience more effectively and interactively. The research method used was a survey and content analysis, involving a number of active Instagram users as respondents. The research results show that Instagram features can increase communication effectiveness through increasing engagement, delivering more visual and creative messages, and making it easier to share information in real-time. Apart from that, using the Stories and Direct Messages features has proven to be more effective in building personal relationships and direct interaction with the audience. This research concludes that strategic use of Instagram features can be a very effective communication tool, both for personal and organization purposes.Keywords: Instagram, Communication, Social Media, Effectiveness, Feature
Analisis Data Warehouse Pada Perpustakaan Universitas XYZ Untuk Efisiensi Manajemen Menggunakan Metode Kimball 4 Langkah Uddin, Badie; Wijayadi, Eneng Mila Lestari; Maharani, Aprilia zahra; Barren, Kailal Wafa Auladal
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 2 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i2.7323

Abstract

The XYZ University Library faces recurring book losses that affect the efficiency of library collection management. This study aims to develop a data-driven analysis system to identify loss patterns and support decision-making. The proposed solution uses a Data Warehouse approach with the Kimball Four-Step method and the ETL (Extract, Transform, Load) process. This methodology includes business process selection, grain declaration, dimension identification, and fact determination. Library transaction data from 2022 to 2024 was extracted, transformed, and loaded into a MySQL-based warehouse and visualized using Power BI. The analysis revealed that popular book categories, such as novels, were the most frequently lost. The visualization also enabled trend analysis based on time, book types, and user segments. The findings highlight a significant decline in loss cases, from 27 in 2022–2023 to 13 in 2023–2024, suggesting improved monitoring and management. The study demonstrates that the Data Warehouse approach effectively supports historical data analysis and provides accurate insights for sustainable library policy formulation.
Co-Authors Badie Uddin Baren, Kailal Wafa Auladal Barren, Kailal Wafa Auladal Wijayadi, Eneng Mila Lestari