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All Journal Jurnal Simetris Technomedia Journal Journal of Social Science Hospitality Management and Operations Journal
Padri, Abdul Robi
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Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Social Sciences

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Klasifikasi Kemancetan Lalu Lintas di Indonesia Menggunakan Metode Naive Bayes Classification Padri, Abdul Robi; Asro, Asro; Chairuddin, Chairuddin
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 14, No 2 (2023): JURNAL SIMETRIS VOLUME 14 NO 2 TAHUN 2023
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v14i2.10102

Abstract

Tujuan dari penelitian ini untuk data menganalisis akurasi kemancetan menggunakan google colab  dalam mendeteksi kemacetan berdasarkan provinsi di indonesia, penulis mencoba menguji strategi dalam menangani Kemacetan wilayah indonesia, dengan memanfaatkan metode naïve bayes. Pada jurnal ini menerapkan dengan google colab. Penelitian ini memakai data yang bersumber dari crawling data di twiter. Penggunaan metode naive bayes dalam mencari Rute terpendek efesien dan tidak mancet. Penerapan Angkot Sekolah online menggunakan Metode naive bayes dalam Minimalisir Biaya Perjalanan menjemput Siswa dapat mengurangi macet, mengurangi kecelakaan, mengurangi waktu keterlambatan siswa, minimalisir ongkos perjalanan. Saran yang diberikan yaitu menjadi bahan evaluasi bagi pemerintah dalam menangani Kemacetan di indonesia, secara efisien, aman dan transparan. 
Rancang Bangun Laman Penyetaraan Ijazah Menggunakan Metode Reuse-Based Software Development Kresnala, Dany Prima; Padri, Abdul Robi; Henderi
Technomedia Journal Vol 8 No 2 Oktober (2023): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v8i2.2116

Abstract

Teknologi informasi telah memberikan banyak manfaat bagi masyarakat dalam mengakses layanan publik, termasuk penyetaraan ijazah dan konversi nilai indeks prestasi kumulatif (IPK) bagi lulusan perguruan tinggi luar negeri. Namun demikian, terdapat tantangan operasional dalam menghasilkan laporan yang dibutuhkan, karena masalah database. Hal ini menyebabkan keterlambatan dalam perbaikan dan pemenuhan Service Level Agreement (SLA). Untuk mengatasi hal ini, diusulkan sebuah Sistem Informasi baru dengan menggunakan metode Reuse Based Software Development. Tujuannya adalah untuk menunjukkan bahwa pendekatan ini dapat mempercepat pengembangan platform penyetaraan ijazah dan konversi nilai IPK dengan memastikan layanan yang sudah ada tidak terganggu  dan dapat memenuhi SLA dengan meningkatkan efisiensi serta efektifitas proses bisnis yang ada. Platform baru ini tidak hanya akan menyederhanakan proses tetapi juga memperkenalkan elemen-elemen inovatif seperti Application Programming Interface (API), yang dapat digunakan oleh para pembuat kebijakan lainnya, bahasa pemrograman yang terstandar sehingga mudah ketika ada pergantian tim pengembang.
Social Identity Transformation Among Remote Workers: A Phenomenological Study of the Millennial Generation in Indonesia Padri, Abdul Robi
Journal Of Social Science (JoSS) Vol 4 No 3 (2025): JOSS: Journal of Social Science
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/joss.v4i3.448

Abstract

The advancement of digital technology and the global shift in work patterns have fostered the rise of remote work, a trend increasingly prevalent among the millennial generation in Indonesia. This transformation not only affects economic aspects and productivity but also brings significant consequences to the construction and transformation of workers’ social identities. This study aims to explore how the experience of remote work influences the social identity construction of millennials, including changes in social relationships, self-perception, and attachment to work communities. Using a phenomenological approach, the research involved in-depth interviews with ten participants aged 25 to 40 who have been working remotely for at least two years. The findings reveal that remote work initiates a complex process of identity renegotiation, in which millennials experience a shift in the meaning of workspace, the boundaries between personal and professional time, and the emergence of new, flexible, and digital forms of social connection. A dominant pattern of hybrid identity—combining the roles of “professional worker” and “free individual”—emerges, subtly influencing how individuals position themselves within the broader social structure. These findings highlight the importance of understanding identity dynamics in digital work contexts to formulate more inclusive and adaptive employment policies in response to ongoing social change.
The Role of Artificial Intelligence in Improving Customer Experience in The Global Hospitality Industry Padri, Abdul Robi; Sumiyati, Sumiyati; Fauziyyah, Ghina; Ridzki, Mohamad Maulana; Sagita, Ahmad Bahar
Hospitality Management and Operations Journal Vol. 2 No. 1 (2025): Hospitality Management and Operations Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/hmoj.v2i1.7

Abstract

Digital transformation in the hospitality industry has driven the adoption of artificial intelligence (AI) as a strategic tool in improving service quality and customer experience. This research aims to explore how AI technologies, such as chatbots, facial recognition, predictive analytics, and smart room control, are implemented in the context of hotel operations and their impact on guest perception and satisfaction. Using a descriptive qualitative approach, data was collected through in-depth interviews with hotel management, questionnaires to licensed employees, as well as direct observation at a leading international hotel. The results show that AI is able to accelerate service processes, improve operational efficiency, and provide personalized experiences that have an impact on increasing customer loyalty. However, the findings also reveal challenges such as lack of employee training, guest resistance to automated services, and ethical issues of data privacy. The implications of this study suggest the need for a hybrid service approach between AI and human labor, as well as stronger education strategies and data protection policies. This research contributes to a comprehensive understanding of the role of AI in the hospitality sector and informs the formulation of customer-oriented technology-based service policies.
Co-Authors Asro Asro Fauziyyah, Ghina Henderi Ida Ayu Putu Sri Widnyani Kresnala, Dany Prima Ridzki, Mohamad Maulana sagita, Ahmad bahar SUMIYATI SUMIYATI