Article Per Year (5 Year)
p-Index From 2021 - 2026
4.379
P-Index
This Author published in this journals
All Journal TEKNIK INFORMATIKA Jurnal Simetris Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) PROtek : Jurnal Ilmiah Teknik Elektro JOIN (Jurnal Online Informatika) Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Mantik Penusa JMM (Jurnal Masyarakat Mandiri) Krea-TIF: Jurnal Teknik Informatika JURTEKSI Jurnal Riset Informatika Jurnal Kesmas dan Gizi (JKG) Jurnal Mantik Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Abdi Dosen : Jurnal Pengabdian Pada Masyarakat JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknik Informatika C.I.T. Medicom Jurnal Pendidikan Guru (JPG) ETNIK : Jurnal Ekonomi dan Teknik
Novita Br Ginting
Universitas Ibn Khaldun Bogor
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Public Health Social Sciences Other

Published : 34 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 34 Documents
Search

 1   2   3   4 
Machine Learning for the Model Prediction of Final Semester Assessment (FSA) using the Multiple Linear Regression Method Rachmawati, Fitria; Jaenudin, Jejen; Ginting, Novita Br; Laksono, Panji
JURNAL TEKNIK INFORMATIKA Vol. 17 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v17i1.28652

Abstract

Corona virus (COVID-19) is the reason behind the collapse of the National Assembly. The first is the Final Semester Assessment (FSA) , which is a component of the student's graduation. The aforementioned evaluation process is a crucial consideration for the teacher since it uses several intricate surveys and mark components. A prediction model is employed to assist teachers in providing suitable results for student learning. The method that is used is called the multiple linear regression. This multiple linear regression algorithm yields an accuracy level of approximately 92%. The analysis results using the method are used as a guide to understanding student’s index. This index is a rating that appears based on the Minimum Credit Count (MCC). Therefore, the goal of this study is to determine students' understanding of the FSA prediction value, which will be taken into consideration through the results of the MCC weights in the form of a range in the form of "Grade." Additionally, the research aims to determine the accuracy of the results from the model obtained using multiple linear regression algorithms in predicting students' FSA.
The Influence of Social Media Use on Adolescent Sexual Behavior at SMAN 1 Tebing Syahbandar in 2026 Nasution, Hamni; Rotua Sumihar; Novita Br. Ginting
JURNAL KESMAS DAN GIZI (JKG) Vol. 8 No. 2 (2026): Jurnal Kesmas dan Gizi (JKG)
Publisher : Fakultas Kesehatan Masyarakat Institut Kesehatan Medistra Lubuk Pakam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35451/9d52f170

Abstract

The rapid advancement of information and communication technology has significantly increased social media usage, particularly among adolescents. Social media offers various benefits, including facilitating social interaction, expanding access to information, and providing a platform for self-expression. This study aimed to examine the relationship between social media use and adolescent sexual behavior at SMAN 1 Tebing Syahbandar, Serdang Bedagai Regency, in 2026.This research employed a quantitative design with a cross-sectional approach. The study involved 231 students aged 15–18 years. Data analysis was conducted using univariate analysis to describe the distribution of variables, bivariate analysis with the Chi-square test to assess associations between variables, and multivariate analysis using logistic regression to identify the most influential factors affecting adolescent sexual behavior.The findings revealed that 208 respondents (90.0%) were categorized as having high-risk sexual behavior. The bivariate analysis indicated that the duration of social media use was not statistically associated with adolescent sexual behavior (p = 0.434). However, frequency of use (p = 0.006), intensity of use (p = 0.000), and exposure to sexual content (p = 0.000) were significantly associated with adolescent sexual behavior.The multivariate analysis demonstrated that the intensity of social media use was the most dominant factor influencing adolescent sexual behavior, followed by exposure to sexual content. Overall, these findings suggest that social media use contributes to adolescent sexual behavior, particularly when characterized by high intensity and frequent exposure to sexually explicit content.This study highlights the importance of strengthening digital literacy, enhancing parental supervision, and reinforcing school-based reproductive health education. These efforts are expected to equip adolescents with the skills to use social media wisely and responsibly, thereby minimizing the risk of unhealthy sexual behavior.
Analisis Fasilitas Pelayanan Kegawatdaruratan Obstetri Neonatal Emergensi Komprehensif (PONEK) di RSUD Sultan Sulaiman Tahun 2026 rianta, Rianta; Barita Aritonang; Novita Br Ginting
JURNAL KESMAS DAN GIZI (JKG) Vol. 8 No. 2 (2026): Jurnal Kesmas dan Gizi (JKG)
Publisher : Fakultas Kesehatan Masyarakat Institut Kesehatan Medistra Lubuk Pakam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35451/s95b3z36

Abstract

Pelayanan Kegawatdaruratan Obstetri Neonatal Emergensi Komprehensif (PONEK) di rumah sakit merupakan ujung tombak dalam upaya penurunan Angka Kematian Ibu (AKI) dan Angka Kematian Bayi (AKB). Sebagai rumah sakit rujukan di Kabupaten Serdang Bedagai, RSUD Sultan Sulaiman wajib menyelenggarakan pelayanan PONEK 24 jam yang didukung oleh fasilitas yang memadai sesuai dengan standar nasional guna menangani kasus kegawatdaruratan secara cepat dan tepat. Penelitian ini bertujuan untuk menganalisis fasilitas pelayanan PONEK di RSUD Sultan Sulaiman Tahun 2025, yang mencakup ketersediaan, kelengkapan, dan kelayakan sarana dan prasarana dalam mendukung pelayanan kegawatdaruratan obstetri dan neonatal. Penelitian ini merupakan penelitian kualitatif dengan pendekatan deskriptif. Data dikumpulkan melalui wawancara mendalam kepada informan utama dan informan triangulasi, observasi lapangan, serta telaah dokumen. Analisis data dilakukan dengan teknik analisis isi untuk mengevaluasi kesesuaian antara kondisi fasilitas di lapangan dengan standar dan regulasi yang berlaku. Hasil penelitian menunjukkan bahwa fasilitas PONEK di RSUD Sultan Sulaiman secara umum telah tersedia dan mendukung pelayanan, namun masih terdapat beberapa keterbatasan. Ketersediaan alat kesehatan, bahan medis, serta dukungan fasilitas penunjang seperti laboratorium dan bank darah 24 jam menjadi faktor krusial dalam menunjang pelayanan. Selain itu, masih diperlukan peningkatan dalam pemenuhan standar fasilitas dan pemeliharaan sarana prasarana agar pelayanan PONEK dapat berjalan secara optimal.
IMPLEMENTATION OF 360-DEGREE FEEDBACK AND SAW FOR DECISION SUPPORT SYSTEM OF ACHIEVING TEACHER'S RECOMMENDATION Br Ginting, Novita; Syarif , Zulkarnaen Noor; Maesaroh , Mamay; Jaenudin, Jejen; Widhyaesteoty, Dahlia; Yusuf , Muhamad Alfian; Ningrum, Leny Tritanto
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v4i4.209

Abstract

Education requires quality teacher resources in the current era of industry 4.0 and society 5.0. Teachers act as educators, teachers, mentors, directors, trainers, assessors, and evaluators. Students must have critical thinking competencies, creativity and innovation, interpersonal and communication skills, teamwork and collaboration, and self-confidence. At SMK Yasbam, the selection process for outstanding teachers is carried out every year. The problem faced is that the selection process is still assessed, selected, and determined by the school principal only, so there is still a process that is deemed not transparent, accountable, and fair. To make the assessment process fairer, try using the 360-degree feedback method, a multi-source assessment, and then weighting the performance value using the Simple Additive Weighting method to obtain recommendations for outstanding teachers. Respondents consisted of principals, fellow teachers, students, and themselves (the assessed teachers). Furthermore, combining these two methods is applied in a decision support system to make the assessment process and selection of outstanding teachers more objective.
Co-Authors A. Rahmat Rosyadi Ahmad Hafizullah Ritonga Andi Robiyanto Annisa, Sarah Chairul Ardiyantoko Ardiyantoko Aritonang, Barita Asep Syaepudin Dahlia Widhyaesteoty Dahlia Widhyaestoeti Dani Ramdani, Dani Deni Arsandi Dewi Primasari Dewi, Kalih Puspita Didik Setiyadi Eko Hadi Purwanto EKO WAHYUDI Endin Mujahidin Fahrezi, Muhamad Rizky Fathih Miftahul Asror Fithri Muliawati Fitria Rachmawati Frieyadie Frieyadie Gibhta Fitri Laxmi Gibtha Fitri Laxmi Gunawan, Iwon Handy Wiguna Putra Hartono, Rudi Haya Najma Husniyyah Hersanto Fajri Ilham Maulana Indriyawati, Indriyawati Jaenuddin, Jejen Jejen Jaenuddin Jejen Jaenudin Laksono, Panji Lely Masnita Leny Tritanto Ningrum Leny Tritanto Ningrum Mamay Maesaroh Maulana, Diki Muhamad Alfian Yusup Nasution, Hamni Ningrum, Leny Tritanto Noor Syarif, Zulkarnaen rianta, Rianta Rizky Tri Mardiansyah Rotua Sumihar Ryan Abdul Gofur Safaruddin H. Al Ikhsan Sarah Chairul Annisa SITI NURJANAH Slamet Riyadi Slamet Riyadi Suratun Suratun Suratun Suratun Syarif , Zulkarnaen Noor Tohir Solehudin Virgiawan, Rivaldi Widhyaesteoty, Dahlia Wisnu Indra Giri Wulandari, Berlina Yashintya Nelawati Yolanda Agusti Astri Yuggo Afrianto Yusuf , Muhamad Alfian Yusup Maolani Ziyad Rais Zulkarnaen Noor Syarif Zulkarnaen Noor Syarif Zulkifly Fadly Pratama