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All Journal Applied Information System and Management EDUKATIF : JURNAL ILMU PENDIDIKAN
Lukman Lukman
Universitas Muhammadiyah Makassar
Education Languange, Linguistic, Communication & Media Mathematics Social Sciences

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Dinamika Gerakan Perempuan Berkemajuan di Tingkat Lokal (Sejarah ‘Aisyiyah Sulawesi Selatan Tahun 1927-1965) Hadisaputra Hadisaputra; Eka Damayanti; Hidayah Quraisy; Lukman Lukman
EDUKATIF : JURNAL ILMU PENDIDIKAN Vol 4, No 2 (2022)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/edukatif.v4i2.2274

Abstract

Gerakan Aisyiyah di Sulawesi Selatan patut dikaji dalam bentuk artikel ilmiah. Meski telah berdiri sejak tahun 1927, namun gerakannya tidak lekang zaman bahkan semakin dinamis bahkan mengikuti perkembangan zaman dengan jargon “Gerakan Perempuan Berkemajuan”. Tulisan ini bertujuan untuk mengungkapkan dinamika Gerakan perempuan berkemajuan yang diusung Aisyiyah di Sulawesi Selatan Tahun 1927-1965 dengan fokus kajian pada sejarah awal kehadiran ‘Aisyiyah di Sulawesi Selatan (1927-1945), hingga kiprahnya pada masa awal kemerdekaan Republik Indonesia, khususnya pada era kepemimpinan Presiden Soekarno (1945-1965). Artikel ini merupakan penelitian sejarah yang melalui lima tahap yakni tahap penentuan topik, heuristik, tahap verifikasi tahap interpretasi atau penafsiran, dan tahap historiografi atau tahap penulisan sejarah. Hasilnya menunjukkan bukti ‘Aisyiyah telah berkiprah di Sulawesi Selatan sejak tahun 1926. Sejak awal pendiriannya, organisasi ini lebih banyak bergerak di bidang dakwah, pendidikan, dan sosial. Wujudnya dalam bentuk pengajian, pendirian sekolah khususnya Taman Kanak-kanak, serta mendirikan panti asuhan. Spirit pergerakan Aisyiyah di bidang sosial-keagamaan sejak tahun 1914 hingga saat ini didasarkan pada QS. An-Nahl ayat 97 dimana amar ma’ruf nahi munkar bisa ditegakkan tanpa memandang jenis kelamin.
A Hybrid YOLO–Swin Transformer with FSM for Waste Disposal Behavior Analysis Darniati Darniati; Desi Anggreani; Lukman Lukman; Hasri Akbar Awal Rozaq; A. Inayah Auliyah; Bunga Dewi; Muh. Ilham Akbar
Applied Information System and Management (AISM) Vol. 9 No. 2 (2026): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v9i2.50577

Abstract

The increasing volume of waste and improper disposal practices remains significant challenges in smart campus environments despite the availability of waste management facilities. In this study, waste disposal behavior is defined as the temporal and contextual interaction among individuals, waste objects, and trash bins, encompassing both proper disposal and littering activities. To address this problem, this research proposes a hybrid deep learning framework that integrates YOLOv8 for real-time object detection, a Finite State Machine (FSM) for modeling object-state transitions during disposal activities, and a Swin Transformer for contextual behavior analysis. The proposed framework extends conventional object detection by combining spatial detection, temporal interaction modeling, and contextual reasoning to classify waste disposal behaviors from surveillance data. Furthermore, the integration of YOLOv8, FSM, and Swin Transformer provides a unified and interpretable architecture capable of capturing object interactions and behavioral patterns in complex surveillance environments. Experimental results show that the proposed method achieves a behavior classification mAP@50 of 93.8%, outperforming the FSM-only baseline (90.0%) and improving precision, recall, and F1-score from 0.89, 0.84, and 0.86 to 0.92, 0.88, and 0.90, respectively. These findings demonstrate that the combination of spatial, temporal, and contextual analysis enables more accurate and reliable waste disposal behavior classification, providing a practical solution for intelligent waste monitoring and sustainable smart campus management.
Co-Authors A. Inayah Auliyah Bunga Dewi Darniati Desi Anggreani Eka Damayanti Hadisaputra Hadisaputra Hasri Akbar Awal Rozaq Hidayah Quraisy Muh. Ilham Akbar