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Studi Foundational Problem Pendidikan: Sosiologis, Budaya Sebagai Pengembangan Kurikulum Muhammad Khoirul Lutfi
Tarbawi : Jurnal Studi Pendidikan Islami Vol. 10 No. 1 (2022): Tarbawi : Jurnal Studi Pendidikan Islami (April)
Publisher : Universitas Nahdlatul Ulama Pasuruan, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55757/tarbawi.v10i1.298

Abstract

Sociology's attention to educational activities is increasingly intensive. This presupposes the creation of harmonious and peaceful social life, as well as the creation of values, norms, and social systems that bind social life and must be obeyed by each member of society. The sociological foundation of education in Indonesia adheres to an integralistic ideology that originates from the norms of social life: (1) kinship and cooperation, togetherness, deliberation for consensus, (2) mutual prosperity is the goal of social life, (3) the state protects its citizens, and (4) harmonious balance between rights and obligations. Therefore, education in Indonesia not only improves the human quality of individuals but also the quality of the structure of society. The four areas studied are essential as suggestions for understanding the education system about the whole life of society. Furthermore, as we all know, the development of science and technology is very rapid, and the rate of development is so broad that it almost covers all aspects of human life. Especially in the field of information and communication, this is the background for the need to apply science and technology in the field of educational curriculum development.
Implementasi Sistem Proteksi Kebakaran Terintegrasi untuk Meningkatkan Keselamatan Ruangan di Gedung Kampus Unpas Setiabudi Toto Supriyono; Yudha Hany Pratama; Lutfi khoirul ihsan; Mochammad Rafly; Riza Fathoni Ishak
JURNAL TEKNIK MESIN Vol 15, No 1 (2026): APRIL 2026
Publisher : Universitas Bandar Lampung

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Abstract

Abstrak. Kebakaran pada bangunan bertingkat, khususnya gedung pendidikan, merupakan risiko kritis yang dapat menimbulkan kerugian material dan korban jiwa. Permasalahan utama dalam mitigasi kebakaran adalah kurangnya integrasi antar sistem proteksi, seperti deteksi, alarm, pemadam otomatis, dan jalur evakuasi. Penelitian ini bertujuan untuk menganalisis efektivitas implementasi sistem proteksi kebakaran terintegrasi pada gedung kampus melalui pendekatan kuantitatif berbasis observasi lapangan dan simulasi. Parameter yang dianalisis meliputi waktu deteksi, respons sistem sprinkler, waktu evakuasi, dan laju penyebaran api. Hasil menunjukkan bahwa sistem terintegrasi mampu menurunkan waktu deteksi sebesar ±40%, mempercepat evakuasi hingga ±33%, serta mengurangi laju pelepasan panas hingga 50–60%. Selain itu, rasio keselamatan (ASET/RSET) meningkat dari kondisi tidak aman (<1) menjadi aman (>1). Penelitian ini memberikan kontribusi berupa model evaluasi sistem proteksi kebakaran yang komprehensif dan aplikatif untuk meningkatkan keselamatan bangunan pendidikan
IMPLEMENTASI NILAI KARAKTER RELIGIUS DAN IMPLIKASINYA TERHADAP KEDISIPLINAN SISWA DI SMK SYAMSUL ARIFIN PUKUL KRATON PASURUAN Muhammad Khoirul Lutfi; Siti Aisyah
Center of Education Journal (CEJou) Vol. 4 No. 2 (2023): Central Journal of Education (CEJou) December
Publisher : Universitas Nahdlatul Ulama Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55757/cejou.v4i2.387

Abstract

Character education plays a pivotal role in molding individuals to uphold and respect established norms and regulations. At SMK Syamsul Arifin Pukul Kraton Pasuruan, student discipline is cultivated through the integration of religious character values. This integration is reinforced by activities such as pre-learning tahfidz sessions, communal Dhuhr prayers, and monthly grave visits. The objective of this study is to delineate the planning process of religious character values, their practical implementation, and the subsequent impact on student discipline at SMK Syamsul Arifin Kraton Pasuruan. This research adopts a qualitative methodology. Qualitative research is an investigative approach that transcends mere statistical analyses and quantification. The study is primarily descriptive in nature, conducted directly by the researcher. The research findings reveal that: 1) The incorporation of religious character values is manifested through synchronized tahfidz sessions at the outset of learning, as well as voluntary tahfidz sessions for interested students. Additionally, collective Dhuhr prayers and monthly grave visits are observed every Friday. 2) Regarding the ramifications of instilling religious character values, students exhibit enhanced proficiency in time management, thereby fostering a more disciplined demeanor among them.
Eco-Pesantren Management: Harmonizing Islamic Values and Environmental Conservation in Traditional Educational Institutions Akhmad Saikhu; Akhmad Baiquni; Muhammad Khoirul Lutfi
Assyfa Journal of Islamic Studies Vol. 3 No. 2 (2025): Assyfa Journal of Islamic Studies
Publisher : CV. Bimbingan Belajar Assyfa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61650/ajis.v3i2.135

Abstract

Environmental degradation and climate change necessitate a shift toward sustainable educational models that integrate moral and spiritual values. This study aims to analyze the implementation of the Eco-Pesantren management model at Pondok Pesantren Mambaul Hikam Jombang as a strategy to harmonize Islamic doctrines with environmental conservation efforts. Using a qualitative case study approach, data were gathered through observations of institutional policies and documentation of participatory environmental activities. The results indicate that the institution successfully integrates "Green Deen" principles through four strategic pillars: environmental policy formulation, human resource development in ecology, curriculum integration (PRLH), and participatory actions such as eco-enzyme production, waste management using 3R methods, and "plastic waste alms". The study found that this management model not only fosters ecological awareness among students (santri) but also transforms the pesantren into a center for community environmental education. In conclusion, the harmonization of Islamic values—such as Khalifah (stewardship) and Rahmatan lil’alamin—with structured ecological management provides a sustainable framework for traditional institutions to address modern environmental challenges. This model offers a replicable prototype for integrating spiritual ethics into practical conservation initiatives within the Islamic educational landscape
Comparative Analysis of K-Nearest Neighbors and Support Vector Machine for Student Stress Prediction Lutfi Khoirul Umam; Setyoningsih Wibowo; Agung Handayanto
Journal of Applied Informatics and Computing Vol. 10 No. 4 (2026): August 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i4.13224

Abstract

Student stress has emerged as an important issue because it can negatively affect both academic achievement and mental well-being. The growing development of machine learning techniques has enabled the creation of predictive models that can classify stress levels using various student-related factors. This research evaluates and compares the effectiveness of the K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) algorithms in predicting student stress categories. The dataset was sourced from Kaggle and contains questionnaire-based data, including variables such as sleep quality, frequency of headaches, academic achievement, study workload, participation in extracurricular activities, and stress level classifications. The study followed several stages, including data preprocessing, feature normalization, model development, and performance assessment. Model evaluation was conducted using accuracy, precision, recall, F1-score, and confusion matrix metrics. To validate the practical implementation of the models, both algorithms were incorporated into a web-based application built with the Flask framework and supported by a MySQL database. The experimental results revealed that the KNN algorithm delivered superior classification performance compared to SVM. KNN obtained an accuracy score of 88.46% and a weighted F1-score of 0.89, whereas SVM achieved 46.15% accuracy with a weighted F1-score of 0.41. These findings suggest that KNN is more effective in identifying patterns within the student survey data. In addition, the successful deployment of the prediction system demonstrates that conventional machine learning methods can be utilized to provide real-time assessments of student stress levels and support mental health monitoring efforts.