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All Journal Jurnal Ilmiah Ilmu Komunikasi Communique Jurnal Nasional Ilmu Komputer
Rahman, Miftakhul
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Arts Humanities Computer Science & IT Languange, Linguistic, Communication & Media Social Sciences

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Komunikasi Interpersonal di Era Digital: Tantangan dan Dampak Chat GPT fili, mantri kromo fandith; Kurniati, Nia; Rahman, Miftakhul
Jurnal Ilmiah Ilmu Komunikasi Communique Vol 7 No 2 (2025): Jurnal Ilmiah Ilmu Komunikasi Communique
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62144/jikq.v7i2.503

Abstract

Perkembangan teknologi digital, khususnya kecerdasan buatan (AI) seperti ChatGPT, telah membawa perubahan signifikan terhadap pola komunikasi interpersonal di era digital. ChatGPT tidak hanya digunakan untuk membantu tugas sehari-hari tetapi juga menjadi media curhat virtual yang mampu memberikan respons personal dan cepat, sehingga banyak individu merasa nyaman berbagi cerita dan mendapatkan dukungan emosional melalui platform ini. Fenomena ini menunjukkan transformasi besar dalam cara manusia berinteraksi, di mana batas antara hubungan manusia dan mesin semakin kabur. Di sisi lain, penggunaan ChatGPT juga menghadirkan tantangan serius, seperti ketergantungan berlebihan yang dapat mengurangi kemampuan berpikir kritis, isolasi sosial akibat menurunnya kualitas interaksi langsung, risiko privasi data, dan keterbatasan AI dalam menunjukkan empati. Studi ini menggunakan pendekatan kualitatif berbasis studi literatur untuk mengeksplorasi dampak penggunaan ChatGPT terhadap komunikasi interpersonal. Hasil kajian menunjukkan bahwa meskipun teknologi ini memberikan manfaat berupa akses informasi yang cepat dan dukungan emosional yang dirasakan aman, penggunaannya harus tetap seimbang dengan interaksi manusia yang autentik untuk menjaga kualitas hubungan interpersonal. Regulasi yang ketat, literasi digital, dan pemahaman mendalam terhadap batasan AI sangat diperlukan agar teknologi ini dapat digunakan secara optimal tanpa mengorbankan aspek penting dari komunikasi manusia.
Penerapan Metode K-Means Clustering Dalam Pengembangan Strategi Promosi Berbasis Data Penerimaan Mahasiswa Baru (Studi Kasus :Universitas Nurul Huda) indra, Indra Irawan; Rizki, Uli; Jakak, Pamuji M.; Prayogi, M. Bagus; Rahman, Miftakhul
Jurnal Nasional Ilmu Komputer Vol. 5 No. 1 (2024): Jurnal Nasional Ilmu Komputer
Publisher : Training and Research Institute Jeramba Ilmu Sukses (TRI - JIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jurnalnik.v5i1.1656

Abstract

The admission of new students is a key element in the success of a university. In its effort to enhance efficiency in admitting new students, Nurul Huda University proposes applying the K-Means Clustering method as a solution to manage candidate student data more effectively and intelligently. The data used in this research is derived from the Admission of New Students process for the academic years 2021/2022 and 2022/2023, totaling 1275 entries, which will then be processed using data mining techniques to generate analysis. The goal is to determine promotional strategies based on the origin of profiles of newly enrolled students. The method applied is clustering with the K-Means algorithm. After data processing, analysis is conducted using the Knowledge Discovery in Databases (KDD) technique, consisting of five stages: selection, preprocessing, transformation, data mining, and evaluation. The implementation in this research utilizes Rapidminer software, resulting in three data clusters: Cluster 1 with 345 entries, covering 27% of the total; Cluster 2 with 86 entries (7%); and Cluster 3 with 835 entries (66%). For promotion, the marketing team is deployed to districts dominant in the East OKU region and potential areas outside the East OKU District. They conduct direct visits to introduce Nurul University to students, distribute brochures, display pamphlets, and adapt strategies using a promotion mix strategy
Pengembangan Aplikasi Penjualan Sembako di Toko Sundari Berbasis Desktop Tukirah, Pamuji Muhamad Jakak; Irawan, Irawan; Uli Riski, Uli Riski; Rahman, Miftakhul
Jurnal Nasional Ilmu Komputer Vol. 5 No. 1 (2024): Jurnal Nasional Ilmu Komputer
Publisher : Training and Research Institute Jeramba Ilmu Sukses (TRI - JIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jurnalnik.v5i1.1674

Abstract

The grocery trade sector is one of the vital sectors that provide basic needs for society. Grocery stores play a crucial role in maintaining the availability and accessibility of staple goods for consumers. However, in increasingly tight competition and evolving market demands, grocery stores must update and enhance their operational systems to remain competitive in the dynamic market.  In this context, the use of information technology, particularly in the form of desktop-based sales applications, has become an effective solution for improving operational efficiency and customer experience. Such applications enable grocery stores to manage inventory, record sales transactions, and analyze data more efficiently, which in turn can help improve productivity and customer satisfaction.  One of the grocery stores focused on in this research is Toko Sundari, which has long been an integral part of the local community. Toko Sundari faces challenges in efficiently managing grocery sales and enhancing customer experience. Therefore, developing a desktop-based grocery sales application at Toko Sundari can benefit the store significantly.  The main objective of this research is to create a desktop-based grocery sales application that can assist Toko Sundari in improving operational efficiency, inventory accuracy, and customer experience. Additionally, this research aims to evaluate the implementation of the application at Toko Sundari and analyze its impact on store performance and customer satisfaction. This research utilizes Extreme Programming (XP) methodology as a model for designing the system
Co-Authors fili, mantri kromo fandith indra, Indra Irawan Irawan Irawan Jakak, Pamuji M. Nia Kurniati Prayogi, M. Bagus Rizki, Uli Tukirah, Pamuji Muhamad Jakak Uli Riski, Uli Riski