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All Journal Jurnal Pendidikan Teknologi dan Kejuruan KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Jurnal Informatika dan Teknik Elektro Terapan JUTIK : Jurnal Teknologi Informasi dan Komputer JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) INSERT: Information System and Emerging Technology Journal Resi: Jurnal Riset Sistem Informasi Synergisia Nomico Synergisia
Putu Maha Putra
Politeknik Ganesha Guru
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Other

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IMPLEMENTASI METODE EXTREME PROGRAMMING DALAM PENGEMBANGAN SISTEM INFORMASI PENGGAJIAN DI KAMPUS POLITEKNIK GANESHA GURU Putra, Putu Maha
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6283

Abstract

The payroll system implemented at Politeknik Ganesha Guru is still carried out manually, which often leads to data redundancy and inefficiencies in salary calculations. Therefore, a payroll information system is needed to improve efficiency and accuracy in calculating salaries for employees and lecturers. This study applies the Extreme Programming (XP) method as an approach in system development. XP is a software development method that focuses on short iterations, intensive communication between developers and users, and continuous feedback [1]. This payroll information system includes features for managing employee data, payroll data, and salary reports. Testing was conducted using the black-box testing method, which showed that the system functions according to user requirements. The results of this study indicate that the XP method can enhance efficiency and accuracy in the payroll process at Politeknik Ganesha Guru.
Digital Diplomacy: The Influence of Social Media in Forming a Country's Image in the Era of Globalization Putu Maha Putra
Synergisia Vol. 1 No. 2 (2024): Synergisia - November
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/1dh0wr65

Abstract

The rapid development of information and communication technology has had a significant impact on international relations, affecting various aspects such as diplomacy, trade, and cybersecurity. Social media as a strategic tool in digital diplomacy allows countries to shape and promote their global image. This study examines the role of social media in shaping a country's image in the international arena, focusing on the intensity and diversity of its use, as well as the interaction between social media content and public perception. Through a quantitative approach, this study analyzed 290 social media accounts from major cities in Indonesia, exploring how their content influences the country's global image. The results show that the frequency and type of social media content ranging from public services, tourism, to cultural and economic promotion are important factors in shaping a positive national image. In addition, there is a strong positive relationship between the intensity of social media use and public perception of the country's image, with significant influences on the economic, political, and cultural dimensions. This study provides valuable insights into how digital communication strategies can be utilized to improve a country's international position.. 
The Role of Big Data and Artificial Intelligence in Shaping Consumer Preferences in the Digital Market Putra, Putu Maha
Nomico Vol. 3 No. 2 (2026): Nomico-March
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/ddgf9h80

Abstract

The rapid development of digital technology has transformed contemporary markets into data-driven ecosystems where consumer behavior can be continuously monitored and analyzed. The integration of Big Data and Artificial Intelligence has enabled companies to implement highly personalized marketing strategies that influence consumer decision-making processes. This study aims to analyze the role of Big Data and Artificial Intelligence in shaping consumer preferences within digital markets, particularly through mechanisms of behavioral prediction, algorithmic personalization, and repeated exposure across multiple digital touchpoints. This research employs a qualitative descriptive approach based on a systematic literature review of recent scholarly publications related to digital marketing, Big Data analytics, and Artificial Intelligence. Data were collected from reputable academic journals indexed in international databases and analyzed using thematic analysis and conceptual synthesis to identify key patterns and mechanisms through which data-driven technologies influence consumer preferences. The results indicate that Big Data enables firms to collect and analyze large volumes of behavioral data, while Artificial Intelligence transforms these data into predictive insights that generate personalized recommendations, targeted advertisements, and automated interactions. These mechanisms significantly increase consumer engagement, conversion rates, and transaction values, while simultaneously guiding consumer attention toward specific products. Consequently, consumer preferences in digital markets are not only revealed but actively constructed through algorithmic systems embedded within digital platforms. In conclusion, Big Data and Artificial Intelligence function as strategic technologies that reshape consumer preference formation by enabling firms to predict, personalize, and influence purchasing behavior in contemporary data-driven marketing environments.
Co-Authors Anak Agung Ngurah Adhi Jaya Gede Arna Jude Saskara I Gede Mahendra Darmawiguna I Made Gede Sunarya I Putu Oktap Indrawan Ida Bagus Agung Udaya Yudhamanyu Luh Putu Cintya Prabandari Luh Putu Cintya Prabandari Prabandari, Luh Putu Cintya