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Pengaruh Konten Media Sosial Edukasi Kesehatan terhadap Perubahan Perilaku Hidup Sehat pada Generasi Z Palma Juanta; Orville Lim; Ferry, Ferry; Devan Wijaya
INSOLOGI: Jurnal Sains dan Teknologi Vol. 4 No. 1 (2025): Februari 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v4i1.4830

Abstract

Social media has become a primary platform for Generation Z to access various types of information, including health education. This study aims to analyze the impact of health education content on social media on behavioral changes towards a healthy lifestyle among Generation Z. The research employs a quantitative approach through a survey involving 53 respondents aged 17-22 years. The findings indicate that health education content on social media effectively raises awareness of the importance of a healthy lifestyle, including balanced nutrition, sufficient physical activity, stress management, and mental health awareness. Additionally, influencers and online communities play a significant role in shaping sustainable healthy habits. However, this study also highlights the challenge of misinformation and hoaxes, which can affect understanding and decision-making regarding health. Therefore, improving media literacy is crucial for Generation Z to differentiate between credible and unreliable information. Furthermore, the involvement of healthcare professionals in producing educational content is essential to ensure accuracy. Thus, social media can be optimized as a more effective, reliable, and impactful health education platform for Generation Z.
Development of Science Process Skills Assessment Instrument in Physics Learning at Dr.Wahidin Sudirohusodo Junior High School Medan Apriani Sijabat; Palma Juanta; Festiyed Festiyed
Edumaspul: Jurnal Pendidikan Vol 7 No 1 (2023): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v7i1.5920

Abstract

This study aims to produce a valid and reliable Science Process Skills (KPS) assessment instrument in learning Physics temperature and heat material. The research is a Research and Development study with the ADDIE model. The research was conducted at Dr. Wahidin Sudirohusodo Junior High School in Medan. The sample in the study came from 2 physics education lecturers and 3 physics teachers. The instruments in this study were a 15-item multiple choice KPS test sheet and a validation questionnaire. Data collection techniques in the form of tests and validation questionnaires. The KPS indicators studied were observing, formulating hypotheses, identifying variables, interpreting data, communicating, and applying concepts. Data analysis is quantitative and qualitative data analysis with the help of the SPSS version 21 application. The results validation value of 34%, language validation of 31% and validation of 35% with decent criteria, reliability of 0.862 high criteria. This finding explains that the KPS instrument is very valid and reliable to be used in learning physics temperature and heat material.
Analisis Perbandingan Pengaruh Hasil Belajar Informatika Siswa Sebelum Wabah Covid Dengan Setelah Wabah Covid di Jurusan DKV SMK Negeri 10 Medan Palma Juanta; Nurlaila Rahmadani; Syakirah Ramadhina; Mita Yustika Silitonga; Yohana Simbolon; Iren Jayatry Br Brahmana; Musa Agus Saputra Hutagalung
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 4 (2024): Juli: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i4.213

Abstract

Covid-19 which is endemic in Indonesia has damaged the entire fabric of Indonesian society, one of which is in the field of education. Education in Indonesia has not been able to be carried out normally as usual since mid-March 2020. This research aims to compare student learning outcomes before and after the Covid-19 outbreak in the Visual Communication Design (DKV) Department of SMK Negeri 10 Medan. The type of research that will be used is observational research. with a comparative or longitudinal research design. The population of this study were all students of the DKV Department at SMK Negeri 10 Medan who took Informatics subjects. This research sample was taken using a stratified random sampling method. Researchers used quantitative data analysis techniques. Data analysis shows a significant decline in student informatics learning outcomes after the COVID-19 outbreak compared to before the outbreak. The availability of devices such as computers or tablets and a stable internet connection greatly influences the effectiveness of online learning. Students who receive support and guidance from their families during online learning show better learning outcomes. Interactive teaching methods and the use of various online learning tools can improve student learning outcomes.
COMPARATIVE ANALYSIS OF PSO AND FIREFLY OPTIMIZATION FOR VIOLENCE REPORT CLASSIFICATION Ryo Wijaya; Palma Juanta; Erick Simson; Ricky Ricky; Windania Purba
JIKO (Jurnal Informatika dan Komputer) Vol 8 No 2 (2025)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i2.9721

Abstract

Cases of violence against children and women continue to increase, but the handling of reports is often hampered by the large volume of incoming reports and the lengthy manual classification process. This study aims to address these issues by developing a method for automatically classifying reports of violence using the Support Vector Machine (SVM) algorithm optimized with Particle Swarm Optimization (PSO) and Firefly algorithms. The main objective is to group types of violence accurately to facilitate faster and more effective identification and handling. The research dataset consists of 500 reports obtained from Kaggle, with stages including text pre-processing, implementation of optimization algorithms, and evaluation based on accuracy, precision, recall, and misclassification error. The experiments were conducted using Python on the Google Colab platform. The results showed that PSO-SVM achieved an accuracy of 87.00% and a recall of 80.42%, outperforming Firefly-SVM which achieved an accuracy of 86.00% and a recall of 78.75%. Although Firefly-SVM demonstrated slightly higher precision (92.63%) compared to PSO-SVM (91.53%), PSO-SVM had a lower misclassification error (13.00% compared to 14.00%). These findings indicate that PSO-SVM is more effective for applications requiring better case detection, while Firefly-SVM is more suitable for applications prioritizing precision in positive predictions.
Pengaruh Digital Marketing terhadap Minat Calon Mahasiswa Baru untuk Berkuliah di Universitas Prima Indonesia (UNPRI) Palma Juanta; Arini Balqis; Abil Febrian Panggabean; Enjel Srimelda Damanik
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 4 No. 3 (2026): Juli: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v4i3.1641

Abstract

This study examines the influence of digital marketing on the interest of prospective new students in enrolling at Universitas Prima Indonesia (UNPRI), Medan. Digital marketing has become a critical promotional channel for higher education institutions competing for Generation Z applicants who rely heavily on social media, websites, and online advertising. A quantitative associative (causal) design was used, employing a closed questionnaire with a four-point response scale (A-D) distributed to 70 respondents who had encountered information about UNPRI through digital media. Data were analyzed using Pearson product-moment validity testing, Cronbach's Alpha reliability testing, simple linear regression, and a partial t-test with the aid of SPSS. The results show that all eleven questionnaire items were valid (r-count > r-table = 0.235) and both research variables were reliable (Cronbach's Alpha above 0.60). The regression equation obtained was Y = 12.45 + 0.68X, indicating a positive relationship between digital marketing and student interest. The partial t-test produced a t-count of 5.231 (t-table = 1.995; sig. = 0.000 < 0.05), so H1 was accepted: digital marketing has a significant positive effect on the interest of prospective new students in choosing UNPRI. These findings suggest that UNPRI should continue to strengthen the quality of its social media content, website information, digital advertising, and responsiveness toward prospective students, particularly Generation Z applicants.