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All Journal Journal of Humanities and Social Studies Building of Informatics, Technology and Science PEMA: Jurnal Pendidikan dan Pengabdian Kepada Masyarakat IEMJ: Islamic Education and Management Journal
Nida, Khoirun
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Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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Pemberian Ice Breaking Untuk Menumbuhkan Motivasi Belajar Siswa di MIS Desa Timbang Lawan Almawaddah, Nurzakyah; Arsini, Yenti; Nida, Khoirun; Aulia Prayoga, Putri
PEMA Vol. 5 No. 1 (2025)
Publisher : Perkumpulan Manajer Pendidikan Islam Indonesia (PERMAPENDIS) Prov. Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56832/pema.v5i1.843

Abstract

Dalam proses pembelajaran motivasi belajar yang tinggi adalah hal penting yang harus dimiliki setiap siswa agar proses pembelajaran dapat dilaksanakan dengan baik, namun tidak semua siswa memiliki motivasi belajar yang tinggi termasuk siswa MIS Di Desa Timbang Lawan. Maka dari itu peneliti melaksanakan kegiatan sosialisasi pentingnya ice breaking untuk menumbuhkan motivasi belajar siswa. kegiatan ini dilakukan untuk menumbuhkan motivasi belajar siswa dalam proses pembelajaran dengan memberikan ice breaking sebelu m pembelajaran berlangsung. Hasil dari kegiatan ini adalah pemberian ice breaking sebelum proses pembelajaran dapat menumbuhkan motivasi belajar dari siswa hal ini dilihat dari observasi yang dilakukan setelah pemberian ice breaking. Dan dapat di simpulkan bahwa pemberian ice breaking penting dilakukan sebelum prosespembelajaran berlangsung untuk menumbuhkan semangat dan motivasi belajar pada siswa.
Group Counseling Using The Dispute Cognitive Technique To Reduce People Pleaser Behavior Among Students At Mtsn Tanjungbalai Nida, Khoirun; Arsini, Yenti
JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES) Vol 9, No 2 (2025): Journal of Humanities and Social Studies
Publisher : UNIVERSITAS PAKUAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jhss.v9i2.12493

Abstract

This research aims to determine the effectiveness of group counseling with the Dispute Cognitive technique in reducing people pleaser behavior in class VIII students of MTsN Kota Tanjungbalai. The research method used is a quantitative research method with a quasi-experimental approach (quasi experiment) with a one group pretest-posttest design. The research sample consisted of 30 students who were selected purposively based on the results of observations and recommendations from BK teachers. The main instrument was a Likert scale questionnaire that measured six aspects of people pleaser behavior. The results showed a decrease in the average score from 40.10 (pretest) to 35.07 (posttest), and the Wilcoxon test showed a significance value of 0.011 (p 0.05), which means there was a significant difference before and after treatment. These findings indicate that the Dispute Cognitive technique is effective in helping students change irrational thinking patterns to be more rational and build healthy social behavior. This study provides important implications for guidance and counseling services in schools to develop cognitive interventions that focus on strengthening students' identity and assertiveness. 
Peran Sarana-Prasarana dalam Peningkatkan Mutu Pendidikan di Madrasah Aliyah Pembangunan UIN Syarif Hidayatullah Jakarta Aminusyai, Achmad Fachrurozi; Ta’rifin, Ahmad; Fitrianingsih, Sri Eka; Istiqomah, Nurul; Azizah, Nikmatul; Nida, Khoirun
IEMJ: Islamic Education and Management Journal Vol. 1 No. 1 (2024): IEMJ: Islamic Education and Management Journal
Publisher : Sekolah Tinggi Agama Islam (STAI) Ki Ageng Pekalongan, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64994/iemj.v1i1.1

Abstract

This research was conducted at MA Pembangunan UIN Syarif Hidayatullah Jakarta, aiming to identify the condition and role of facilities and infrastructure in improving the quality of education at Madrasah Aliyah (MA) Pembangunan UIN Syarif Hidayatullah. The method used is descriptive qualitative, including field surveys, interviews with stakeholders, and analysis of data from various sources. The results show that the availability of adequate facilities and infrastructure has a positive correlation with improving the quality of learning and the ability of students to achieve a proper and technology-based education. This study concludes that investment in facilities and infrastructure development should be prioritized by schools to improve educational progress. Recommendations include increased budgets, comprehensive planning and community involvement in the development process to ensure local needs are met and sustainability is assured.
Optimasi Hyperparameter Gaussian Naive Bayes Untuk Prediksi Risiko Stroke Pada Data Tidak Seimbang Nida, Khoirun; Mahenra, Ridwan; Susanto, Erliyan Redi
Building of Informatics, Technology and Science (BITS) Vol 7 No 3 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i3.8497

Abstract

Stroke is a serious disease with global impact that requires high-accuracy early detection. Significant difficulties in designing machine learning-based predictive models arise due to disproportionate data conditions (imbalanced datasets). This occurs because the number of stroke cases (minority class) is very small compared to non-stroke cases. This imbalanced data situation often causes models to become biased and potentially produce high false negative rates, which is very risky in a clinical setting. This study focuses on improving the sensitivity of the Gaussian Naive Bayes (GNB) model through hyperparameter optimization and classification threshold adjustment. The research process included data preprocessing, stratified dataset division (70% training and 30% testing), feature scaling, var_smoothing parameter optimization using GridSearchCV, and threshold adjustment to maximize the Recall value. The results showed that the standard GNB model only achieved a Recall value of 0.4400. However, after var_smoothing optimization (1.00×10⁻¹⁰) and threshold adjustment to 0.0100, the Recall value increased significantly to 0.8000. This increase was accompanied by a decrease in Accuracy (0.5988) and Precision (0.0909). This improvement was accompanied by a decrease in Accuracy (0.5988) and Precision (0.0909). The high Recall (0.8000) indicates that the model is better for mass screening (early detection phase), although it must be balanced with further diagnostic processes due to low precision. This high Recall value confirms the model's success in minimizing False Negatives, which is a top priority in stroke risk prediction cases.
Co-Authors Almawaddah, Nurzakyah Aminusyai, Achmad Fachrurozi Arsini, Yenti Aulia Prayoga, Putri Azizah, Nikmatul Fitrianingsih, Sri Eka Mahenra, Ridwan Nurul Istiqomah Susanto, Erliyan Redi Ta’rifin, Ahmad