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Implementation of Al-Ghazali's Educational Perspective in Modern Islamic Educational Institution Rahman, Habibur; Anam, Rijal Khoirul; Aji, Handaru Baskara; Kurniawan, Ilham
Al-Ulum: Jurnal Pendidikan Islam Vol 6, No 1 (2025)
Publisher : Yayasan Rahmat Islamiyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56114/al-ulum.v6i1.11957

Abstract

This study explores the application of Al-Ghazali's educational concepts in the contemporary education system at a modern Islamic Educational Institution. Using a qualitative approach with a case study design, this study seeks to gain an in-depth understanding of implementing Al-Ghazali's values. Data were collected through in-depth interviews with four teaching staff and two administrative staff and analyzed using thematic analysis methods. The results indicate that the institution where the study was conducted has successfully integrated moral values into its curriculum, using teaching methods focusing on understanding and reflection and implementing a strong spiritual development program. Teachers act as role models and spiritual guides, which aligns with Al-Ghazali's view of the importance of holistic education, which includes moral, intellectual, and spiritual aspects. This study's conclusion shows that applying Al-Ghazali's educational concepts has significantly contributed to improving the quality of modern Islamic education through a holistic approach that integrates moral, intellectual, and spiritual aspects. The findings also offer a value-based education model that can be adapted by various Islamic educational institutions in the future.
Implementation of Al-Ghazali's Educational Perspective in Modern Islamic Educational Institution Rahman, Habibur; Anam, Rijal Khoirul; Aji, Handaru Baskara; Kurniawan, Ilham
Al-Ulum: Jurnal Pendidikan Islam Vol 6, No 1 (2025)
Publisher : Yayasan Rahmat Islamiyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56114/al-ulum.v6i1.11957

Abstract

This study explores the application of Al-Ghazali's educational concepts in the contemporary education system at a modern Islamic Educational Institution. Using a qualitative approach with a case study design, this study seeks to gain an in-depth understanding of implementing Al-Ghazali's values. Data were collected through in-depth interviews with four teaching staff and two administrative staff and analyzed using thematic analysis methods. The results indicate that the institution where the study was conducted has successfully integrated moral values into its curriculum, using teaching methods focusing on understanding and reflection and implementing a strong spiritual development program. Teachers act as role models and spiritual guides, which aligns with Al-Ghazali's view of the importance of holistic education, which includes moral, intellectual, and spiritual aspects. This study's conclusion shows that applying Al-Ghazali's educational concepts has significantly contributed to improving the quality of modern Islamic education through a holistic approach that integrates moral, intellectual, and spiritual aspects. The findings also offer a value-based education model that can be adapted by various Islamic educational institutions in the future.
Hubungan Antara Kecerdasan Emosional Dengan Perilaku Agresif Pada Santri Pondok Pesantren Kurniawan, Ilham; Husin, Lauditta Soraya; Rasyidin, Yusyafrida; Islamia, Intan
ANFUSINA: Journal of Psychology Vol. 2 No. 2 (2019): ANFUSINA: Journal of Psychology
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ajp.v2i2.6101

Abstract

Pesantren is an Islamic educational institution that aims to develop students into generations who have high knowledge and are able to carry out Islamic aqeedah and sharia, but in the environment of Islamic boarding schools are still often found negative behaviors such as aggressive behavior committed by teenage students. This is because teenagers are often less able to control emotions. One factor the cause of the emergence of aggressive behavior is the low level of emotional intelligence. Individuals who have low emotional intelligence tend to be aggressive. This study aims to determine the relationship between emotional intelligence with aggressive behavior in Islamic boarding school students. The subjects in this study were eighth grade Muslim students of MTs who lived in the Al-Fatah Islamic Boarding School dormitory in 2018/2019, totaling 60 students taken with total sampling techniques. The method of data collection in this study uses two psychological scales namely the aggressive behavior scale of 24 items (α = 0.881) and the emotional intelligence scale of 26 items (α = 0.933). Data that has been collected later analyzed using the product moment correlation analysis technique which is assisted with SPSS 21.0 for Windows. The results showed rxy = -0,454 with p = 0,000 (p <0.01), this indicates that there is a significant and negative relationship between emotional intelligence with aggressive behavior in Al-Fatah Islamic boarding school students so that the hypothesis is accepted, the lower the emotional intelligence owned by students, students tend to have high aggressive behavior and vice versa with an effective contribution of 20.6% which is influenced by the independent variables in this study and 79.4% are influenced by variables outside the study.
Holistic Education Perspective of KH. Ahmad Dahlan: Forming Moral Students in the Era of Industrial Revolution 4.0 (Case Study at SDIT Assalam Sanden) Kurniawan, Ilham; Habibburrahman, Habibburrahman
Al-Ulum: Jurnal Pendidikan Islam Vol 6, No 3 (2025)
Publisher : Yayasan Rahmat Islamiyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56114/al-ulum.v6i3.12471

Abstract

Holistic education from the perspective of KH. Ahmad Dahlan is one of the relevant approaches to form a skilled and well-mannered young generation in the era of the industrial revolution 4.0 because it integrates Islamic and intellectual values by emphasizing active learning and developing social awareness. The place where this research was conducted was SDIT Assalam Sanden, with a descriptive qualitative approach as the method used. Meanwhile, data collection techniques in this study include observation, interviews and documentation. The formation of student morals through holistic education from the perspective of KH. Ahmad Dahlan at SDIT Assalam Sanden has been carried out well. The implementation of holistic education includes four stages, namely planning, implementation, control and evaluation.
Holistic Education Perspective of KH. Ahmad Dahlan: Forming Moral Students in the Era of Industrial Revolution 4.0 (Case Study at SDIT Assalam Sanden) Kurniawan, Ilham; Habibburrahman, Habibburrahman
Al-Ulum: Jurnal Pendidikan Islam Vol 6, No 3 (2025)
Publisher : Yayasan Rahmat Islamiyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56114/al-ulum.v6i3.12471

Abstract

Holistic education from the perspective of KH. Ahmad Dahlan is one of the relevant approaches to form a skilled and well-mannered young generation in the era of the industrial revolution 4.0 because it integrates Islamic and intellectual values by emphasizing active learning and developing social awareness. The place where this research was conducted was SDIT Assalam Sanden, with a descriptive qualitative approach as the method used. Meanwhile, data collection techniques in this study include observation, interviews and documentation. The formation of student morals through holistic education from the perspective of KH. Ahmad Dahlan at SDIT Assalam Sanden has been carried out well. The implementation of holistic education includes four stages, namely planning, implementation, control and evaluation.
SYSTEMATIC LITERATUR REVIEW: PENDEKATAN INOVATIF DALAM MENGATASI KESULITAN BELAJAR MATEMATIKA Kurniawan, Ilham; irmawati, irmawati; Saridewi, Atika; Marwa, Marwa; Mirna, Mirna; Nurmawansa, Nurmawansa
Pedagogy: Jurnal Pendidikan Matematika Vol. 10 No. 4 (2025): Pedagogy : Jurnal Pendidikan Matematika
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/pedagogy.v10i4.7063

Abstract

Kesulitan belajar matematika merupakan tantangan serius dalam sistem pendidikan Indonesia yang memerlukan pendekatan inovatif untuk mengatasinya. Penelitian ini mengkaji literatur terkait berbagai pendekatan inovatif yang telah dikembangkan untuk mengatasi kesulitan belajar matematika siswa. Melalui analisis sistematis terhadap 15 artikel penelitian dari jurnal nasional dan internasional yang diterbitkan antara 2020-2024, penelitian ini mengidentifikasi lima pendekatan inovatif utama: teknologi pembelajaran digital dan adaptif, pembelajaran berbasis permainan (gamifikasi), pendekatan design thinking, pembelajaran diferensiasi, dan manipulatif visual dan hands-on learning. Hasil menunjukkan bahwa pendekatan teknologi digital menunjukkan efektivitas tertinggi dengan peningkatan hasil belajar hingga 65%, diikuti oleh gamifikasi (58%) dan pendekatan manipulatif (52%). Namun, implementasi masih menghadapi tantangan seperti keterbatasan infrastruktur, kurangnya pelatihan guru, dan kesenjangan akses teknologi. Penelitian merekomendasikan pengembangan model pembelajaran hibrid yang mengintegrasikan berbagai pendekatan inovatif dengan mempertimbangkan konteks lokal dan karakteristik siswa Indonesia.
Analisis Kuat Arus Pengelasan Sambungan Tube to Tubesheet Stainless Steel Type 316L Terhadap Struktur Mikro, dan Kekerasan di Heat Exchanger Moh. Syaiful Amri; Bachtiar; Moh. Miftachul Munir; Mukhlis; Muhammad Ari; Mohammad Thoriq Wahyudi; Kurniawan, Ilham; Haruri, Rikko Harli
Jurnal Teknologi Maritim Vol. 8 No. 2 (2025): Jurnal Teknologi Maritim
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/jtm.v8i2.78

Abstract

Sambungan tube to tubesheet pada heat exchanger berperan penting dalam menjamin kinerja dan keandalan operasi. Variasi kuat arus pengelasan Gas Tungsten Arc Welding (GTAW) memengaruhi heat input yang berdampak pada struktur mikro, struktur makro, dan sifat mekanik sambungan. Penelitian ini menganalisis pengaruh arus 110 A, 130 A, dan 150 A pada sambungan tube SA-213 TP316L ke tubesheet SA-240 TP316L setelah tube expansion sebesar 8% sesuai standar TEMA edisi ke-11. Pengujian meliputi uji mikro, makro, dan kekerasan metode Vickers pada enam zona. Hasil menunjukkan bahwa kenaikan arus meningkatkan heat input, memengaruhi lebar Heat Affected Zone (HAZ) dan morfologi butir. Arus 150 A menghasilkan fusi sempurna tanpa cacat makro, memperhalus butir pada zona las, serta memberikan kekerasan tertinggi 357,4 Kgf/mm2 pada area of expand, sedangkan kekerasan terendah 182,0 Kgf/mm2 tercatat pada base metal tube (110 A). Peningkatan kekerasan weld metal dari 200,8 Kgf/mm2 menjadi 225,8 Kgf/mm2 menandakan kontribusi heat input optimal dalam pembentukan butir halus. Nilai tinggi pada area of expand disebabkan strain hardening akibat proses ekspansi. Pemilihan arus optimal terbukti penting untuk integritas sambungan dan sifat mekanik yang baik.
Implementasi Algoritma Random Forest Untuk Menentukan Penerima Bantuan Raskin Kurniawan, Ilham; Buani, Duwi Cahya Putri; Abdussomad, Abdussomad; Apriliah, Widya; Saputra, Rizal Amegia
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 2: April 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20236225

Abstract

Kemiskinan adalah salah satu perhatian mendasar dari setiap pemerintah. Program Beras Keluarga Miskin (Raskin) merupakan  salah satu program pemerintah. Skema raskin mempunyai tujuan meminimalisir beban rumah tangga tidak mampu sebagai bentuk bantuan untuk menaikkan ketahanan pangan melalui perlindungan sosial. Tujuan penelitian ini adalah menemukan akurasi tertinggi di antara algoritma klasifikasi prediktif yang diusulkan penerima bantuan raskin menggunakan tools python machine learning dan di implementasikan melalui suatu website. Klasifikasi adalah metode penambangan data yang menentukan kategori pada kelompok data untuk mendukung prediksi dan analisa yang semakin akurat. Beberapa algoritma klasifikasi pembelajaran mesin seperti, SVM, NB dan RF, digunakan pada penelitian ini demi menentukan penerima bantuan raskin. Eksperimen dilakukan menggunakan dataset Raskin Kelurahan Gunungparang, Kota Sukabumi yang bersumber dari Kelurahan Gunungparang. Kinerja algoritma klasifikasi dievaluasi dengan beragam metrik seperti Precision, Accuracy, F-Measure, dan Recall. Akurasi diukur melalui contoh yang dikelompokan dengan benar atau salah. Hasil yang diperoleh menunjukkan algoritma klasifikasi RF memiliki nilai precision, recall, f-measure dengan nilai 97%, nilai accuracy sebesar  97,26% dan nilai ROC 0,970, lebih baik dari algoritma klasifikasi lainnya yaitu perbedaan sebesar 5,11% dengan algoritma klasifikasi support vector machine dan 8,87% dengan algoritma klasifikasi naive bayes. Akurasi sangat baik digunakan sebagai acuan kinerja algoritma apabila jumlah False Negative dan False Positive jumlah nya mendekati. Hasil penelitian ini dibuktikan secara akurat dan sistematis menggunakan Receiver Operating Characteristic (ROC). Abstract The problem of poverty is one of the fundamental concerns of every government. The Raskin  program is one of the government's programs. The Raskin scheme has the aim of minimizing the burden on poor households in the form of assistance to improve food security by providing social protection. The purpose of this study is to find the highest accuracy among the predictive classification algorithms proposed by Raskin beneficiaries using python machine learning tools and implemented through a website. Classification is a data mining method that determines categories in data groups to support more accurate predictions and analysis. Therefore, three machine learning classification algorithms such as, support vector machine, naive bayes and random forest, were used in this experiment. to determine recipients of Raskin assistance. The experiment was carried out using the Raskin dataset, Gunungparang Village, Sukabumi City, which was sourced from Gunungparang Village. The performance of the classification algorithm is evaluated by various metrics such as Precision, Accuracy, F-Measure, and Recall. Accuracy is measured by correctly and incorrectly grouped samples. The results obtained show that the random forest classification algorithm has precision, recall, f-measure values with a value of 97%, an accuracy value of 97.26% and an ROC value of 0.970, better than other classification algorithms, namely the difference of 5.11% with the support vector classification algorithm. machine and 8.87% with naive bayes classification algorithm. Very good accuracy is used as a reference for algorithm performance if the number of False Negatives and False Positives is close. These results were proven accurately and systematically using Receiver Operating Characteristics (ROC).
Investigating the Readiness of EFL Pre-Service Teachers in Implementing Technology-Based Teaching: A Phenomenological Study Alaka, Anta; Nurhayati, Lusi; Widayanti, Eka; Habiburrahman, Habiburrahman; Kurniawan, Ilham; Amin, Muhammad Safiul
Journal of Languages and Language Teaching Vol. 13 No. 3 (2025): July
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jollt.v13i3.14326

Abstract

This study aims to investigate EFL pre-service teachers' readiness to use technology in English Language Teaching (ELT) classrooms and identify the factors that influence their readiness. A phenomenological research design was employed, involving 30 final-semester EFL pre-service teachers enrolled in a teacher education program, selected through purposive sampling. Data were collected through open-ended surveys and interviews and analyzed thematically to extract key themes related to readiness, technological competence, and influencing factors. Findings demonstrated a high level of readiness among participants, supported by strong technological competence and confidence. Participants showed proficiency in using Learning Management Systems (LMS), Canva, and game-based applications like Kahoot to create interactive and engaging learning environments. Internal factors (such as self-confidence and technological skills) and external factors (such as institutional support, courses, and workshops) influenced their readiness. The findings provide a framework for enhancing teacher training curricula and suggest ways to improve student engagement and learning outcomes through effective technology integration. This study contributes to the limited literature on technology integration readiness among EFL pre-service teachers in Indonesia.
Implementation of the Decission Tree Algorithm to Determine Credit Worthiness Abdussomad, Abdussomad; Kurniawan, Ilham; Wibowo, Agung
Compiler Vol 12, No 2 (2023): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v12i2.1911

Abstract

Credit is a loan from a bank that needs to be repaid with interest. In practice, problematic credit or bad credit often occurs due to less thorough credit analysis in the credit granting process, or from bad customers. This research aims to predict creditworthiness using the Decision Tree Classification Algorithm and find a solution for determining it. This research uses the CRISP-DM (Cross-Industry Standard Process for Data Mining) method. This research method tests the effects of using the decision tree, Support Vector Machine, and Naïve Bayes model with the Decision Tree Classification Algorithm. The decision tree classification algorithm accurately analyzed problem loans and non-problem debtors at 93.49%. The decision tree algorithm test results are better than the support vector machine by 3.45%, and naïve bayes by 13.03%. The results of our study were also 4.16% better than the previous study. This research has also implemented the selected model in the form of website application deployment.