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ANALISIS SENTIMEN PEMILIHAN REMAJA TELADAN WILAYAH RATAHAN MENGGUNAKAN ALGORITMA NAIVE BAYES Punusingon, Paskal; Yusupa, Ade; Tarigan, Victor
Journal Computer and Technology Vol. 3 No. 1 (2025): Juli 2025
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/comtechno.v3i1.337

Abstract

Penelitian ini menganalisis sentimen publik terhadap "Pemilihan Remaja Teladan GMIM Wilayah Ratahan" menggunakan algoritma Naive Bayes. Data kuesioner terbuka dikumpulkan dari peserta dan pemangku kepentingan, kemudian diproses melalui tahapan pra-pemrosesan teks meliputi case folding, penghapusan tanda baca, dan tokenisasi. Sebagian kecil dari respons dilabeli secara manual ke dalam kategori positif, netral, dan negatif untuk melatih model Naive Bayes. Model yang telah dilatih kemudian digunakan untuk mengklasifikasikan data sentimen yang tersisa. Hasil penelitian mengungkapkan distribusi sentimen secara keseluruhan dan menyoroti aspek-aspek spesifik dari proses pemilihan yang mendapatkan umpan balik positif, netral, atau negatif, seperti pelaksanaan program, transparansi, dan dampaknya terhadap perkembangan remaja. Studi ini memberikan wawasan berharga untuk perbaikan inisiatif pengembangan remaja di organisasi keagamaan di masa mendatang. This research analyzes public sentiment regarding the "Pemilihan Remaja Teladan GMIM Wilayah Ratahan" using the Naive Bayes algorithm. Open-ended questionnaire data was collected from participants and stakeholders, then processed through text preprocessing steps including case folding, punctuation removal, and tokenization. A subset of the responses was manually labeled into positive, neutral, and negative categories to train the Naive Bayes model. The trained model was subsequently used to classify the remaining sentiment data. The findings reveal the overall sentiment distribution and highlight specific aspects of the election process that garnered positive, neutral, or negative feedback, such as program execution, transparency, and impact on youth development. This study provides valuable insights for improving future youth development initiatives within religious organizations.
Creation of a Virtual Laboratory for Collision Dynamics Educational Tool with Integrated Collision Algorithm Yusupa, Ade; Kalua, Aditya Lapu; Zalmi, Wahyuni Fithratul; Kurnia, Rahmi Putri; Tarigan, Victor
Edu Komputika Journal Vol. 11 No. 2 (2024): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v11i2.10612

Abstract

Conventional physics laboratories often suffer from limitations in terms of equipment availability and safety, which hinders optimal learning of collision dynamics concepts. This research aims to develop a virtual laboratory based on collision algorithm to simulate perfect collision as an alternative solution in physics learning. The development uses the ADDIE model, which includes the stages of analysis, design, development, implementation, and evaluation. The collision algorithm was implemented using ActionScript 3, with interpolation allowing for more accurate collision detection at high speeds. The validation results show that the simulation is in line with the law of conservation of momentum and kinetic energy and is consistent with analytical solutions from MATLAB and Python. Functionality testing was conducted by 20 students, and the results showed that the use of this virtual laboratory significantly improved their concept understanding, with the average improvement ranging from 24% to 56%. Students also reported that this virtual laboratory is more interactive and interesting, thus increasing their learning motivation. The conclusion of this study is that the collision algorithm-based virtual laboratory is effective as a physics learning media and can be adopted more widely in technology-based education, especially to understand complex physics concepts more deeply.
Co-Authors Abdul Syukur Adinda Franky Nelwan Aditya Lapu Kalua Adrian, Glerio Akay, Yuri Barca Sembeng Batjo, Lourdes BATJO, LOURDES CHRISTIAN PASKAH Benedict, Edward Bernad Jumadi Dehotman Sitompul Bernad Jumadi Sitompul Bernard Jumadi Dehotman Sitompul Beverly Daniel Velix Rauan Biring, Agatha Biringpasemba, Thya Oksabella Blessy Tefilla Tangkuman Cleantha Polii Daniel Febrian Sengkey Dhiva Runkat Dringhuzen J. Mamahit Dringhuzen Mamahit, Dringhuzen Eman, Jonathan Fabiano Antonius Mamangkey, Xavier Fajar Salinding Buntu Payuk Farsit Manoppo, Faldy Genggong, Arkafali PF Geoffrey G Matantu Gigir, Winston Gizelda Felicya Jeanette Lewu Hutasoit, Las D. Illahi, Nabil Irvan Trang Jeheskiel Liwe Jeremia Siregar Jeremia, Imanuel Jimmy Reagen Robot Jimmy Reagen Robot Jontinus Manullang Joseph Alexander Wowor Jourgent Ligouw Kalambia, Audia Endondaya Kaligis, Jonathan Kaunang, Ronaldino Kendek Allo, Yusi Meilany Kerenhapukh Priskila Waworuntu Kevin, Darmansyah Geraldy Kodoati, Hizkia Kolang, Indri Claudia kurnia, rahmi putri Lasut, Aleeisandro Leatemia, Kevin Legi, Kevin Lelemboto, Jeremia Lie, Nobiana Luis Manoppo M. Ilham Akbar HS, A. Made Hendy Wijaya, I Mailangkay, Roynaldo Makasunggal, Juan Natanel mamoto, Anugerah Manoppo, Jennifer Manoppo, Michael Reynald Mantik, Joy Timoty Marchantia Betsi Bawata, Michyta Markus Karamoy Umboh Martien Mengko, Riky Mawara, Reza Michelly Cantika Mokansi, Misael MOKANSI, MISAEL TELDI Moniaga, Praise Muhammad Fachruddin Suharto Mumbunan, Keren Mundung, Theogravo Fidelino Nadira Tri Ardianti Purnomo Nancy Jeane Tuturoong Nasib Marbun Natalia Kristiani Pangemanan Nelwan, Christa Kitsy Ngama, Kezia Nur Fiat, Daffa Nur Nurul Rizkyani Paat, Margareth Paath, Rivaldo Paendong, Indah Pangemanan, Jonatan Pangemanan, Natasha Pangemanan, Rachel Pasanda, Marlin Syellen Patanduk, Arpen Payung, Grace Tandi Petiunaung, Joshua Ezra Porayou, Andre Prayer kusen, Miracle Punusingon, Paskal Rafby Saputra Mokodompit Rahayaan, Jacob RAHAYAAN, JACOB ALFANICOLLS Reinhard Komansilan Reinhard Komansilan Rendy Syahputra Rengkung, Chezkiel Rengkung, Vancel Rewur, Afny Rahel Prastika Ricardus Anggi Pramunendar Rombeallo, Gabryela Salassa, Norris Elden Salsabilla Putrihanda Sanriomi Sintaro Sembeng, Emmanuela Shakila Maisa Ayu Sibarani, Alu Sitompul, Natanael Soekamto, Nasya Emanuel Sugiarso, Brave Angkasa sumarauw, Joanna Sumarno, Anggraini Dwi Putri Sumendap, Rivaldy Immanuel Supoyo, Bertrand Suranta Bill Fatric Ginting Tafuama, Daniel Takalamingan, Gerald Tondang, Andrew Tutu, Erlica M.I. Umboh, Markus Umboh, Markus Karamoy Victor Tarigan Victor Taringan Wanda Angella Pantouw Wiwik Akhirul Aeni Wungow, Marsel Yefta Yosia Asyel Yeremia Euodia Gumolili Yuri Vanli Akay Zacharias, Glorya Zalmi, Wahyuni Fithratul Zefanya Kambey Zuldesmi