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All Journal Jurnal Sistem dan Informatika Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Creative Information Technology Journal Jurnal Eksplora Informatika WIDYABHAKTI Jurnal Ilmiah Populer Sevanam: Jurnal Pengabdian Masyarakat Dharma Sevanam : Jurnal Pengabdian Masyarakat Sama Jiva Jnanam (International Journal of Social Studies)
Luh Gede Surya Kartika
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Neuroscience Social Sciences Other

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DISTRIBUTION OF SKILL REQUIREMENTS FOR INFORMATION TECHNOLOGY GRADUATES IN INDONESIA Rinartha, Komang; Luh Gede Surya Kartika
Samā Jiva Jnānam (International Journal of Social Studies) Vol. 1 No. 2 (2023): Volume 1 No. 2 2023
Publisher : Fakultas Dharma Duta UHN IGB Sugriwa Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25078/ijoss.v1i2.3311

Abstract

The objective of this study was to get further insights into the significance of both hard skills and soft skills in securing employment within Indonesia's Information Technology (IT) industry till 2023. To enhance their abilities and effectively vie with their counterparts, IT graduates must possess a clear understanding of the specific talents that organisations require. Universities and other policymakers should utilise this knowledge to develop a plan that aligns the abilities required in the practical world with the skills necessary for graduation. Scraping techniques were employed to retrieve data from three Indonesian job board websites. Data for this study was managed using text processing and statistical techniques. Furthermore, the material underwent cleaning prior to analysis. According to the survey, Web Development, Programmer, and Help Desk Support are the predominant categories of online IT occupations. Out of the twenty highest-ranking occupations, fourteen were exclusively focused on developing software, applications, or programming for mobile or web platforms. Additionally, there was a Network Engineer, a Data Engineer, a Data Analyst, and a System Analyst as jobs that are also widely offered. SQL emerged as the leading computer language. Employers highly value applicants that possess proficiency in SQL as well as another programming language such as Java, C++, or PHP. Collaborative teamwork is consistently the most highly desired ability among employers. Motivated by a strong aptitude for acquiring knowledge and employing analytical thinking. All three of these factors are interconnected with IT projects, which often encompass a diverse array of employment roles.
TOPIC ANALYSIS OF TIMOR LESTE NEWS IN INDONESIA'S MASS MEDIA USING LATENT DIRICHLET ALLOCATION Expendito Pinto Ximenes; Luh Gede Surya Kartika; Eka Darmayanthi; Dora Fanny Meidodga; Ni Kadek Ari Kesuma
Samā Jiva Jnānam (International Journal of Social Studies) Vol. 2 No. 1 (2024): Volume 2 No. 1 2024
Publisher : Fakultas Dharma Duta UHN IGB Sugriwa Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25078/ijoss.v2i1.3916

Abstract

This study analyzes news about Timor Leste in the Indonesian national mass media Detik.com using the Latent Dirichlet Allocation (LDA) method. This research is important to understand how the national mass media in Indonesia, especially Detik.com, report on Timor Leste. Timor-Leste is a neighboring country with a significant history and diplomatic relations with Indonesia. There is a gap between the existing literature, which often focuses on the political and historical links between the two countries, and the reality of everyday reporting covering various aspects of life in Timor-Leste. The aim of this study was to identify and analyse key topics in Timor-Leste reporting in Detik.com, in order to provide a more comprehensive picture of how Timor-Leste was presented to the Indonesian public. The methods used in this study include text mining, text preprocessing, and Latent Dirichlet Allocation (LDA). Using the LDA, we identified two main topics that emerged from articles discussing Timor Leste. The first topic (30.3% of tokens) focused on Timor-Leste's membership in ASEAN and relations with Indonesia, with keywords such as "asean", "leste", "timor", "year", "member", and "indonesia". The second topic (14.7% of tokens) revolved around local and sporting issues in Timor-Leste, with keywords such as "timor", "indonesia", "leste", "dili", "language", "minutes", "year", "goals", "east", and "second". The other eight topics deal with similar terms. The results showed that news about Timor-Leste in Detik.com covered aspects of politics and international relations as well as local developments and sports in the country. This research provides insight into how national media construct and convey information about Timor-Leste to the Indonesian public.
Co-Authors A.A Putu Ratih Maha Yoni Adi Surya Antara Adi Surya Antara Adi Widnyana I Made Dora Fanny Meidodga Eka Darmayanthi Expendito Pinto Ximenes I Gede Harsemadi I Komang Rinartha Yasa Negara I Made Arya Dinanta I Made Arya Dinata Kadek Aria Prima Dewi PF Komang Rinartha Melati Putri Wulandari Muhammad Rusli Ni Kadek Ari Kesuma Ni Luh Putri Srinadi Ni Wayan Arini Nyoman Ayu Nila Dewi Ratna Kartika Wiyati Tubagus Mahendra Kusuma