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Studi Komparatif Antara Pembelajaran Berbasis Proyek dan Metode Ceramah dalam Memperkuat Konsep Fisika Serta Kemampuan Pemecahan Masalah: A Comparative Study Between Project-Based Learning and Lecture Methods in Strengthening Physics Concepts and Problem-Solving Skills Tubagus, Munir; Mudzakir, Mudzakir; Lubis, Eka Feby Ronauli; Al-Amin, Al-Amin
NUMBERS : Jurnal Pendidikan Matematika & Ilmu Pengetahuan Alam Vol. 2 No. 3 (2024): July - September
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

Penelitian ini bertujuan untuk membandingkan efektivitas antara Pembelajaran Berbasis Proyek (PjBL) dan Metode Ceramah dalam konteks pembelajaran konsep fisika dan kemampuan pemecahan masalah siswa. Dengan menggunakan metode studi pustaka, penelitian mengkaji berbagai literatur dan penelitian terdahulu yang relevan. Kajian literatur dilakukan secara sistematis untuk mengumpulkan, menganalisis, dan mensintesis data dari studi-studi yang telah dipublikasikan. Hasil dari kajian ini menunjukkan bahwa PjBL cenderung lebih efektif dibandingkan Metode Ceramah dalam meningkatkan pemahaman konsep fisika dan kemampuan pemecahan masalah siswa. Hal ini disebabkan oleh keterlibatan aktif siswa dalam proses belajar, di mana mereka diberikan kesempatan untuk mengeksplorasi, menemukan, dan menerapkan konsep fisika dalam situasi nyata melalui proyek. Meskipun demikian, Metode Ceramah masih dianggap penting dalam memberikan dasar teori yang kuat. Penelitian ini menyarankan kombinasi dari kedua metode untuk mencapai hasil pembelajaran yang optimal dalam bidang fisika
The Psychological Impact of Divorce on Children in Manado City, North Sulawesi Ardianto, Ardianto; Gunawan, Edi; Yusuf, Nasruddin; Tubagus, Munir
Ulul Albab: Jurnal Studi dan Penelitian Hukum Islam Vol 6, No 2 (2023): Vol. 6, No. 2, April 2023
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/jua.v6i2.30914

Abstract

Divorce is a complex life event that often has significant impacts, especially on the psychological well-being of children. This research aims to deeply explore the psychological impact of divorce on children in Manado City, North Sulawesi. Through a qualitative approach, we conducted in-depth interviews with 20 informants, including children, divorced parents, and judges from the Manado Religious Court. The results of the study indicate that divorce affects not only the physical and social aspects of children but also significantly impacts their emotional state. Children who are victims of their parents' divorce often experience deep feelings of loss, uncertainty about their family's future, and confusion about the causes of the divorce. Emotional conflicts also arise in children who are victims of divorce, such as feelings of guilt, anger, sadness, and prolonged anxiety. These psychological impacts are then reflected in various aspects of the child's life, including a decline in academic performance, lack of motivation to study, and deviant behaviors such as drug use or engaging in promiscuous activities. In facing these challenges, it is crucial for children to receive adequate social and psychological support. Therefore, the roles of family, government, schools, and the surrounding community in providing appropriate support and facilitating children's adaptation to their parents' divorce are very important. Support from various parties can help children who are victims of divorce in their psychological recovery.
Application of Support Vector Machine and Naive Bayes Method to Analyze Mobile Banking User Behavior Through social media Twitter. Pramudito, Dendy K; Tubagus, Munir; Ismail, Andy; Anggraini, Fransisca Dyah; Pradnya Paramita, Catarina Cori
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.462

Abstract

The purpose of this research is to use Naive Bayes and Support Vector Machines (SVM) to determine sentiment analysis on social media related mobile banking. The author used a quantitative technique in this study. Data crawling and a review of the literature were two of the methods used in the collection process. Author using SEMMA technique. The process of defining and articulating the problem leads to this research phase. RapidMiner software is used in this study at every step of the data processing process while using the SEMMA approach. 580 positive and 650 negative feelings were produced by the Naïve Bayes classification approach, whereas 720 positive and 410 negative sentiments were produced by the Support Vector Machine (SVM) classification method. The Naïve Bayes approach yields 90% accuracy with a 1% margin of error, 91% precision for positive predictions, 89% precision for negative predictions, 90% recall for positive data, and 90% recall for negative data. An accuracy value of 89% with a margin of error of 3%, positive predictive precision of 67%, negative predictive precision of 99%, positive data recall of 95%, and negative data recall of 88% are obtained by the Support Vector Machine (SVM) approach. The data used is from the Naïve Bayes approach since it has a higher accuracy value of 90% than the Support Vector Machine (SVM) method, based on the accuracy, precision, and recall values of the two classification methods. Social media users tend to have more positive perceptions regarding mobile banking since positive sentiment outweighs negative sentiment.