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All Journal Autotech: Jurnal Pendidikan Teknik Otomotif Universitas Muhammadiyah Purworejo Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Online Mahasiswa (JOM) Bidang Ilmu Ekonomi Jurnal Kesehatan Andalas El Tarbawi KARSA: Jurnal Sosial dan Budaya Keislaman (Journal of Social and Islamic Culture) HIMMAH Jurnal Pendidikan Islam Indonesian Akuatik: Jurnal Sumberdaya Perairan Proceedings of the International Conference on Applied Science and Health Unes Law Review Majalah Ilmu Pengetahuan dan Pemikiran Keagamaan Tajdid Jurnal Bisnis Tani Edupedia: Jurnal Studi Pendidikan dan Pedagogi Islam JURNAL PENDIDIKAN IPS Tarbiyah Islamiyah: Jurnal Ilmiah Pendidikan Agama Islam Wijaya Putra Law Review Jurnal Pendidikan Islam Indonesia Jurnal Manajemen dan Ekonomi Kreatif Maeswara: Jurnal Riset Ilmu Manajemen dan Kewirausahaan Jurnal Budi Pekerti Agama Islam Katalis Pendidikan: Jurnal Ilmu Pendidikan dan Matematika Digital Innovation : International Journal Of Management Mikroba: Jurnal Ilmu Tanaman, Sains dan Teknologi Pertanian Hadlonah : Jurnal Pendidikan dan Pengasuhan Anak
Taufiqurrahman Taufiqurrahman
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Management of educators and educational staff Maftuhah Maftuhah; Amanta Annajma Khaularahma; Yovie Shafa Aulia Maymalaputri; Nazwa Aulia; Taufiqurrahman Taufiqurrahman
JURNAL PENDIDIKAN IPS Vol. 15 No. 3 (2025): JURNAL PENDIDIKAN IPS
Publisher : STKIP Taman Siswa Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37630/jpi.v15i3.3304

Abstract

Educator and education personnel management is a key component in improving the quality of education, involving systematic resource management from planning to supervision. This process influences the quality of learning, work motivation, and student achievement. This study aims to examine the concept, urgency, service areas, and processes of educator and education personnel management using qualitative literature study methods. The results indicate that professional management, including adaptive and continuous training, and attention to the psychological and professional dimensions of educators, is crucial in facing the challenges of the digital era.
Leveraging the RFM Model for Customer Segmentation in a Software-as-a-Service (SaaS) Business Using Python Andy Hermawan; Nila Rusiardi Jayanti; Aji Saputra; Army Putera Parta; Muhammad Abizar Algiffary Thahir; Taufiqurrahman Taufiqurrahman
Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan Vol. 2 No. 5 (2024): OKTOBER : Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/maeswara.v2i5.1283

Abstract

Customer segmentation plays a pivotal role in driving marketing strategies and improving customer retention across various industries. This study explores the application of the RFM (Recency, Frequency, Monetary) model for customer segmentation in a Software-as-a-Service (SaaS) business, using Python for efficient data processing and analysis. By analyzing one year of customer purchase data, we segmented customers into key groups such as "Champions," "Loyal Customers," and "At Risk." The results highlight that targeted discount strategies significantly affect profitability, especially for high-value customer segments. Furthermore, the research builds upon existing methodologies, demonstrating how Python-based implementations streamline RFM analysis and allow for scalable solutions in business contexts, as illustrated in prior works by Hermawan et al. (2024). This study offers actionable recommendations, including tailored discounting, loyalty programs, and personalized engagement strategies, to enhance customer retention and business profitability. The findings underscore the importance of data-driven marketing approaches for customer segmentation and engagement, reinforcing the relevance of the RFM model in modern business environments.
Development of Artificial Intelligence-Assisted Learning Videos to Improve Students' Understanding of Islamic History Materials Robi’atul ‘Adawiyah; Taufiqurrahman Taufiqurrahman
Jurnal Pendidikan Islam Indonesia Vol. 10 No. 1 (2025)
Publisher : Program Pascasarjana Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The delivery of Islamic history material in several schools, including SMK Khamas, still uses conventional methods such as lectures, which tend to be monotonous. The delivery of material through textual explanations and teacher-centered learning is less appealing to students. Furthermore, students' low interest in reading history materials, which are typically very long texts with few visuals, has resulted in a low level of understanding of the material. In response to this issue, artificial intelligence-assisted learning videos were developed with the aim of presenting the material in a more interesting and easy-to-understand manner. The main objective of this activity is to design educational videos that meet students' needs and to determine their effectiveness in improving students' understanding. The development process utilises a Research and Development (R&D) approach with a 4D model, comprising the Define, Design, Develop, and Disseminate stages. The effectiveness test was conducted by involving two departments, namely TJKT and DKV, using the Mann Whitney U Test. The test results showed a statistical value of W = 351 and a p-value = 0.0006539 (two-sided), which means that there is a significant difference in student understanding between the two departments. The one-sided (greater) test also produced a p-value = 0.0003269, indicating that the scores of students in the TJKT department were significantly higher than those in the DKV department. Based on these findings, it can be concluded that the development of AI-based learning videos effectively improves students' understanding of Islamic history material. This video is expected to be a more engaging alternative learning medium that is tailored to the needs of today's digital generation.
Development of Artificial Intelligence-Assisted Learning Videos to Improve Students' Understanding of Islamic History Materials Robi’atul ‘Adawiyah; Taufiqurrahman Taufiqurrahman
Jurnal Pendidikan Islam Indonesia Vol. 10 No. 1 (2025)
Publisher : Program Pascasarjana Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The delivery of Islamic history material in several schools, including SMK Khamas, still uses conventional methods such as lectures, which tend to be monotonous. The delivery of material through textual explanations and teacher-centered learning is less appealing to students. Furthermore, students' low interest in reading history materials, which are typically very long texts with few visuals, has resulted in a low level of understanding of the material. In response to this issue, artificial intelligence-assisted learning videos were developed with the aim of presenting the material in a more interesting and easy-to-understand manner. The main objective of this activity is to design educational videos that meet students' needs and to determine their effectiveness in improving students' understanding. The development process utilises a Research and Development (R&D) approach with a 4D model, comprising the Define, Design, Develop, and Disseminate stages. The effectiveness test was conducted by involving two departments, namely TJKT and DKV, using the Mann Whitney U Test. The test results showed a statistical value of W = 351 and a p-value = 0.0006539 (two-sided), which means that there is a significant difference in student understanding between the two departments. The one-sided (greater) test also produced a p-value = 0.0003269, indicating that the scores of students in the TJKT department were significantly higher than those in the DKV department. Based on these findings, it can be concluded that the development of AI-based learning videos effectively improves students' understanding of Islamic history material. This video is expected to be a more engaging alternative learning medium that is tailored to the needs of today's digital generation.
Co-Authors Aida Nursanti Aida Nursanti Aji Saputra Ali Bardadi Amanta Annajma Khaularahma Andi Fedrawan Andy Hermawan An’Imatun Musa’adah Army Putera Parta Asnita Yuli Nova Ayu Nabila Busyra Azheri Camelia Herdini Dewita Suryati Ningsih Dinda Lestarini Eliyin Eliyin ELLY SUSANTI Embun Febryanti Panggabean Fachry Abda El Rahman Fitri Nurul Maghfira Fuat Alfauzi Gatot Wijayanto Gunawan Gunawan Hesty Ananta Yunas Husna Husna Jushermi Jushermi Kevin Odie Nugraha Lia Winda Sari Lubis Lisfah Asbi Syahfitri Maftuhah Maftuhah Manurung Yustina Icha Mardiati Nadjib Mariska Zizia Meliansari Tiya Melisa Melisa Muhammad Abizar Algiffary Thahir Muhammad Afif Musfar Firli Tengku N. Nurjanah Naldi Wija Agus Nazwa Aulia Nila Rusiardi Jayanti Noviasari Henni Nuri Aslami Nursanti Aida Nuryanto A. Daim Pratama Anugrah Aditiya Putri Yuliana Lusi Rembrandt Rembrandt Restuti Sri Riri Fitria Robi’atul ‘Adawiyah Roesdi Rosnelly Sarifah Putri Raflesia Sartika Dewi Sasmita Sasmita Septina Maulia Putri Silfi Iriyani Sisean Baga Susanti Maya Susi Hendriani Suwarno Abadi T. Fauzi T. Firli Musfar TATI NURHAYATI Ulfa Syalisah Ulfah Amini Wasnury Rendra Winda A. Cahyaningrum Yovie Shafa Aulia Maymalaputri Zulfadil Zulfadil Zulkarnain Zulkarnain