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Effectiveness of Privacy Features on the 'X' Social Media Application Platform Dimas Budi Wibowo ISKANDAR; Ikhwan Difa' Ahmad Purba; Muhammad Zaib; Supina Batubara
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 2 (2024): June-September 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i2.49

Abstract

The development of information and communication technology has brought major changes to people's lives, including in the way they communicate and interact. One example is the emergence of social media application platforms that allow users to connect with other people, share information and build communities. However, on the other hand, social media application platforms also raise concerns regarding user data privacy. Users are often unaware of how their data is collected, used and shared by social media application platforms. This can pose a risk of data misuse, such as identity theft, fraud and cyberbullying. To address these concerns, many social media application platforms provide privacy features that allow users to control how their data is used. These privacy features can include profile privacy settings, data access controls, and data sharing options. This paper aims to analyze the effectiveness of privacy features on social media application platforms. This paper will discuss the types of privacy features available, how they work, and how effective they are in protecting user data. This paper will also discuss several case studies related to data privacy violations on social media application platforms.
Big data Use Of Big Data Analiytical Technology In Analiyzing User Behavior On Social Media: Use Of Big Data Analiytical Technology In Analiyzing User Behavior On Social Media andre ramadhan srg; achmad ali akbar karo sekali; syahril tio ramadhan; supina batubara
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 2 (2024): June-September 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i2.51

Abstract

The use of big data analytics technology in analyzing user behavior on social media allows us to identify trends, preferences, and complex behavioral patterns through the analysis of large and diverse data. By leveraging algorithms and predictive models, we can better understand how users interact with social media platforms, providing valuable insights to optimize marketing strategies, improve user experience, and even detect potential reputational issues or risks. Keywords Translated with DeepL.com (free version):
Analysis of Public Opinion on Instagram Social Media on Convolutional Neural Network arjuna prayoga satriongko; Muhammad Fauzan Alpri; Jonathannael Benerghes Putramasi; Supina Batubara
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 2 (2024): June-September 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i2.52

Abstract

This study investigates public opinion on Instagram social media regarding Convolutional Neural Networks (CNNs). Instagram has become a prominent platform for sharing opinions and content, making it crucial to understand how CNNs are perceived and discussed. The analysis utilizes sentiment analysis and content analysis techniques to gauge the sentiments and topics surrounding CNN discussions on Instagram. Findings reveal the dominant sentiments and prevalent themes in public discourse, shedding light on the broader perceptions and understanding of CNN technology within the Instagram community.
Utilizing Facebook in Developing UMKM Business Networks Based on Big Data muhammad raihan; Muhammad Raihan; Muhammad Ryan Akbar; Reza Aprilliyan; Supina Batubara
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 2 (2024): June-September 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i2.54

Abstract

In this digital era, leveraging social media platforms such as Facebook holds significant potential for developing the business networks of Micro, Small, and Medium Enterprises (UMKM). Facebook provides a vast platform for UMKM to expand their market reach. One innovative approach is the use of Big Data in marketing strategies and business network development. By analyzing data obtained from user interactions on Facebook, UMKM can identify consumer patterns and preferences, enabling them to formulate more effective and personalized marketing strategies. This research also discusses various tools and techniques that can be used to process and analyze big data, as well as case studies on the application of big data in the development of UMKM business networks on the Facebook platform.
Implementation of and to and in data security and privacy of the WhatsApp social media application Tendri Harnovik; T.M.A Azis Alfarisy; Widia Hutapea; Supina Batubara
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 2 (2024): June-September 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i2.55

Abstract

This research explores the implementation of "End-to-End" technology in the context of data security and user privacy on the WhatsApp social media application. "End-to-End" plays a crucial role in maintaining the confidentiality of communications on these platforms, by analyzing the encryption mechanisms used and their impact on the security of user information. This research uses a WhatsApp case study to clarify the effectiveness of this technology in protecting users' personal data from external and internal threats.
Determining Diseases in Goldfish Using WEB-Based Forward Chaining Expert System Technology in Lawe Malum Village paisalpaisal; Supina Batubara; Rio Septian Hardinata
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 2 (2024): June-September 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i2.66

Abstract

Type lots of fish cultivated by farmer fish is Goldfish caused​ because convenience in cultivated and marketed Because many can​ utilized from Goldfish . That problem often happen is farmer goldfish are not in a way routine do maintenance cause fish caught disease . Case the caused because farmer Still lay to symptom and type disease in cultivation goldfish , so make easy goldfish​ attacked disease . This matter make farmer difficulty in handling to disease that arises exercise symptom Because limited knowledge . Limitations expert in field knowledge cultivation fish sir is Wrong One frequent problem​ found in various area . Study This aim For identification disease on goldfish use​ technology system Forward Chaining expert based symptoms And designing System Expert in identify disease And method treatment on goldfish . Necessary data moment study This is data type symptom And type disease based on symptom on goldfish , symptom data and treatment data take sourced decisions​ from expert cultivation goldfish from​ a school teacher Intermediate Vocational major cultivation fishery and the data obtained from Service Municipal Fisheries . Based on the data provided by expert , expert own method taking decision , that is gather facts moreover formerly For reach something conclusion or decision , so technology system expert can used For do study This . Stages processing the data like prepare data input, tables decision experts , determine rules, carry out tracking processes , create decision tree And results tracking . The results obtained succeed find disease based on existing symptoms​ And can found as well as solution step beginning For handling to disease goldfish . Results test try doing that with compare data with system that has designed own level very accuracy​ Good .
Design and Construction of a Mobile Web-Based Birth Certificate Registration Application (Case Study: Population and Civil Registry Service of Binjai City) Dilla Herdianti; Supina Batubara; Melva Sari Panjaitan
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 3 (2024): October 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i3.83

Abstract

The birth certificate registration process often faces obstacles, such as long queues and long processing times at the Population and Civil Registration Office of Binjai City. This study aims to design and develop a mobile web-based application that makes it easier for the public to register for birth certificates online, thereby increasing the efficiency of public services. The system development method used is the Waterfall model, which includes needs analysis, system design, implementation, testing, and maintenance. This application is designed using the HTML5, CSS, JavaScript, and PHP frameworks for a responsive mobile interface, and MySQL as a database. The test results show that this application is able to speed up the registration process and minimize data errors, and receive positive responses from users regarding ease of access and system reliability. With this application, it is hoped that the Population and Civil Registration Office of Binjai City can improve the quality of digital population services
Global Research Landscape of Hybrid Agile-Lean Methodologies in Information Systems Development Supina Batubara; Aslina Binti Saad; Fanny
Journal of Information Technology and Systems Engineering Vol. 1 No. 1 (2026): June 2026: Information Technology and Systems Engineering
Publisher : CV. Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/jitse.v1i1.6

Abstract

The rapid expansion of the global digital economy necessitated high operational efficiency and structural flexibility in information systems development (ISD). Traditional software engineering methodologies frequently failed to cope with volatile market demands, leading to elevated project failure rates in organizational and institutional ecosystems. Although hybrid agile-lean frameworks emerged as a promising integration to balance market responsiveness and resource waste elimination, a comprehensive structural mapping of this domain remained scarce. This study investigated the global research trends, core thematic clusters, and evolutionary trajectories of hybrid agile-lean adoption in ISD. A bibliometric analysis was conducted using the Scopus database to retrieve relevant peer-reviewed literature published between 2010 and 2023. VOSviewer software was applied to analyze key performance indicators, keyword co-occurrences, network densities, and chronological overlay visualizations. The empirical results mapped the domain into four primary thematic networks: technology and development, innovation performance, methodology adoption, and entrepreneurship education. The chronological trend revealed a massive shift from traditional rekayasa software structures toward contemporary digital transformation capabilities and research commercialization. Most importantly, the density visualization exposed a significant literature gap regarding hybrid methodological adoption inside highly bureaucratic environments, academic institutions, and developing regions like Indonesia. These findings provided a systematic justification and roadmap for future studies to engineer adaptive system architectures within non-traditional business settings.
Pelatihan TIK untuk Game Edukatif Bagi GEN-Z di LKP KARYA PRIMA KURSUS Hendry; Afif Badawi; Hanna Willa Dhany; Supina Batubara; Muhammad Hasanuddin; Siti Khodijah
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 4 No 2 (2025): Oktober 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v4i2.649

Abstract

Pelatihan Teknologi Informasi dan Komunikasi (TIK) menjadi salah satu strategi penting dalam meningkatkan keterampilan digital generasi muda, khususnya Gen-Z yang sangat dekat dengan teknologi. Penelitian ini bertujuan untuk mendeskripsikan pelaksanaan pelatihan TIK melalui pengembangan game edukatif di LKP Karya Prima Kursus sebagai sarana pembelajaran kreatif dan interaktif. Metode yang digunakan adalah pendekatan deskriptif dengan mengamati proses pelatihan, keterlibatan peserta, serta hasil akhir berupa produk game edukatif sederhana. Hasil penelitian menunjukkan bahwa pelatihan ini mampu meningkatkan kreativitas, kemampuan berpikir kritis, dan kolaborasi peserta dalam menyelesaikan tantangan berbasis teknologi. Selain itu, peserta merasa lebih termotivasi dalam mengintegrasikan pembelajaran dengan teknologi yang menyenangkan. Kesimpulannya, pelatihan TIK berbasis game edukatif efektif dalam memberikan pengalaman belajar yang relevan, adaptif, serta sesuai kebutuhan Gen-Z dalam menghadapi perkembangan era digital.
Co-Authors Abdul Khaliq achmad ali akbar karo sekali Adhaini zahra Nasution Afdi Afandi Afif Badawi Akhyar Lubis Akhyar Lubis Albin Setiawan Aldi Firnanda Aldrin Putra Alfin Faiz Pratama Alwi Pernando andre ramadhan srg arjuna prayoga satriongko Aslina Binti Saad Asril Abdi Harahap Barany Fachri Beby Dwiyanti Besta Gulo Chatarina Umbul Wahyuni Dilla Herdianti Dimas Budi Wibowo ISKANDAR Dimas Tri Danuarta DWI SURYANTO Eka Surya Fitriani Eko Harianto Eko Hariyanto Eko Hariyanto Fachri, Barany Fahmi Setiawan Fanny Fatih Afif Nasution Feliks Yohanes Sihombing gizza khairani khairani Hadi Irfanzha Prayoga Hanna Willa Dhany Hendry Ikhwan Difa' Ahmad Purba Izhar Fradila Jonathannael Benerghes Putramasi Liza Nadira M Arif Ridwan M Ikhsan Tanviry M Rizky Wijaya Maya Syaula Maya Syaula Melva Sari Panjaitan Mesra B Muhammad Aji Nugraha Muhammad Al Fikri Gunawan Muhammad Azwir Badawi Muhammad Dhafa Muhammad Faldan Caesar Dani Sitepu Muhammad Fauzan Alpri Muhammad Hasanuddin Muhammad Raihan muhammad raihan Muhammad Rusdi Muhammad Ryan Akbar Muhammad Zaib Nazwa Annisa Onny Mendalin paisalpaisal Rahmadani Reza Aprilliyan Rian Farta Wijaya Riandy Nugraha Rinanda Purba Rio Septian Hardinata Rion Dui Haryadi Samosir Risky, Raihan Rut Tiolina Eloisma Tambunan Sahrial sahril reza robert Said Ahmad Rizqi Sajudin Ma'ruf Siti Khodijah Sri Wahyuni Sri Wahyuni syahril tio ramadhan T.M.A Azis Alfarisy Tarigan, Satria Teguh Wahyono Teguh Wahyono Tendri Harnovik Tri Anggraini Purba Widia Hutapea Yuli Ennisa Lubis Yuli Ennisa Lubis zulhamdani zulhamdani