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All Journal Majalah Ilmiah METHODA TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Arpan Mualief Saprizal
Universitas Sari Mulia
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Medicine & Pharmacology Public Health

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Etika Profesi TI di Era AI: Tantangan Perlindungan Data dan Privasi Pengguna Syarifuddin Syarifuddin; Arpan Mualief Saprizal; Risky Pebriana; Tira Margaret; Liliana Swastina
Majalah Ilmiah METHODA Vol. 15 No. 3 (2025): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol15No3.pp231-238

Abstract

The era of artificial intelligence (AI) has brought fundamental transformations in various aspects of life, including the Information Technology (IT) profession. Along with rapid innovation, complex ethical challenges have emerged, particularly regarding data protection and user privacy. This paper examines the ethical implications of the application of AI in the IT context, with a focus on how IT professionals can navigate the moral dilemmas that arise from the collection, processing, and use of data at scale. We analyze existing ethical frameworks and identify the need for new guidelines to ensure the responsible and ethical development and implementation of AI. The ultimate goal is to provide practical recommendations for IT professionals, organizations, and policymakers in addressing ethical challenges in the AI ​​era, in order to maintain public trust and ensure individual rights.
Analisis Sentimen Tiktok: Wajib Militer dengan Metode Lexicon Based dan Naive Bayes Classifier Arpan Mualief Saprizal; Nor Anisa
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2 (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2.pp242-246

Abstract

The issue of conscription in Indonesia has sparked a heated debate among the public, especially on the social media platform TikTok. This study aims to analyze public sentiment on the issue through analysis of TikTok user comments. The method used is lexicon-based sentiment analysis. Data of 5,212 comments were collected using web scraping techniques with the keyword "conscription in Indonesia". The results of the analysis showed that the majority of comments (53.28%) were positive, followed by neutral comments (35.79%), and negative comments (10.92%). This finding indicates that there is considerable support for the issue of military service among TikTok users. The research process includes data collection, data processing, sentiment analysis using a lexicon-based approach, and visualization of results. The results of this study are expected to provide a clearer picture of public perception of the issue of military conscription in Indonesia. 
Co-Authors Liliana Swastina Nor Anisa Risky Pebriana Syarifuddin Syarifuddin Tira Margaret