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All Journal Jurnal Pendidikan Matematika dan IPA Jurnal Tadris Kimiya Journal of Government and Civil Society JWP (Jurnal Wacana Politik) Proceedings of the 1st UR International Conference on Educational Sciences The Spirit of Society Journal : International Journal of Society Development and Engagement JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Ilmiah Mandala Education (JIME) Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Fikruna : Jurnal Ilmiah Kependidikan dan Kemasyarakatan Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika Chimica Didactica Acta : Journal of Chemistry and Chemistry Education Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education) INOVASI: Jurnal Politik dan Kebijakan Journal Of Artificial Intelligence And Software Engineering JIPI (Jurnal IPA dan Pembelajaran IPA) Journal of Built Environment Studies
Ibnu Khaldun
Dosen Program Studi Pendidikan Kimia Unsyiah
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Social Sciences Other

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Immobilization of Inorganic Sulfide on Dead Coral (Acropora cervicornis) Coated with Chitosan as an Adsorbent for Dissolved Mercury(II) Ions Adlim*, Muhammad; Elfa, Devita; Habibati, Habibati; Sari, Richa Purmaya; Hasan, Muhammad; Khaldun, Ibnu; Yavuz, Musa
Jurnal IPA & Pembelajaran IPA Vol 9, No 1 (2025): MARCH 2025
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jipi.v9i1.44006

Abstract

Treatment of dissolved mercury within water sources is crucial. This study reported the utilization and efficacy of chitosan-sulfide immobilized on dead corals (Acropora cervicornis) as an absorbent for dissolved mercury (II). Sulfide ions were immobilized on coral particles coated with chitosan (coral-Chi). Chitosan and sulfide were either mixed or stepwise immobilized on dead coral particles. The amount of mercury absorbed by this treated absorbent (coral-Chi-Na2S) was studied and compared to the control (coral only or coral-Chi). The adsorption process is a bath method within a chromatography column. The absorbent characteristics and the amount of mercury(II) absorbed were characterized. The results showed that the highest percentage of adsorption used adsorben coral-Chi-Na2S, which was 71% with an eluent flow of 0.5 mls-1 within the absorbent column. The capacity of adsorption ion Hg2+ after prior eluting in the column for 24 h contact time was 0.4057 mg/g, 0.4017 mg/g, and 0.3746 mg/g in coral-Chi-Na2S, coral, and coral-Chi respectively
Pengaruh Problem Based Learning Melalui School Watching Terhadap Aktivitas dan Hasil Belajar Siswa Pada Materi Asam Basa di SMP Zakia, Rizki; Khaldun, Ibnu; Safitri, Rini
Jurnal Pendidikan Sains Indonesia Vol 6, No 1 (2018): April 2018
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jpsi.v6i1.10748

Abstract

Tujuan dari kajian ini yaitu untuk mengetahui aktivitas dan hasil belajar siswa dengan penerapan PBL melalui school watching pada materi asam basa kelas VII SMP PKPU Aceh Besar. kajian ini menggunakan metode quasi exsperiment dengan randomized pretest-posttest group desain. Data dikumpulkan dengan tes tulis dan observasi. Berdasarkan hasil kajian yang diperoleh dapat disimpulkan bahwa pembelajaran dengan menerapkan PBL melalui school watching dapat meningkatkan hasil belajar siswa pada kelas eksperimen dari 31 menjadi 77, sedangkan pada kelas kontrol yaitu 29 menjadi 70. Hasil dari observasi aktivitas belajar pada siswa kelas eksperimen dengan pembelajaran PBL melalui school watching yaitu 89% dengan kategori sangat baik, sedangkan aktivitas belajar pada siswa kelas kontrol dengan pembelajaran konvensional yaitu 79% yang dikategorikan baik.
Implementation Of Dama-Dmbok-Based Data Governance To Optimize Organizational Decision Making Khaldun, Ibnu; Khaidar, Al
Journal of Artificial Intelligence and Software Engineering Vol 5, No 4 (2025): Desember
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i4.8502

Abstract

Di era digital, pengelolaan data menjadi aspek penting bagi perusahaan penyedia layanan internet (PIJI) dalam menjaga kualitas dan keamanan informasi. Penelitian ini bertujuan untuk merancang model tata kelola data berbasis kerangka kerja DAMA-DMBOK (Data Management Body of Knowledge) yang disesuaikan dengan kebutuhan operasional PT XYZ Cabang Medan, serta melakukan pengukuran tingkat kematangannya untuk menilai efektivitas penerapan model tersebut. Pendekatan penelitian menggunakan metode deskriptif kuantitatif, dengan penyebaran kuesioner kepada pihak yang terlibat dalam pengelolaan data keuangan dan operasional perusahaan. Hasil analisis menunjukkan bahwa secara keseluruhan tata kelola data berada pada tingkat kematangan Managed (Level 4), yang mengindikasikan bahwa proses pengelolaan data telah terstandarisasi dan terdokumentasi dengan baik. Area Data Governance dan Data Security memiliki tingkat kematangan tinggi dengan nilai masing-masing 4,8 dan 4,6, sedangkan Data Quality masih rendah dengan nilai 2,5. Model tata kelola data yang dirancang melalui penelitian ini dapat menjadi acuan bagi PT XYZ dalam meningkatkan integritas, kualitas, dan keamanan data, serta sebagai referensi penerapan DAMA-DMBOK pada industri penyedia layanan internet.
Public Sentiment Analysis on the November 2025 Flood Disaster in Aceh Using Natural Language Processing and Lexicon-Based Approach Erwanda, Ade Putra; Khaidar, Al; Asrianda, Asrianda; Fikry, Muhammad; Khaldun, Ibnu
Journal of Artificial Intelligence and Software Engineering Vol 5, No 4 (2025): Desember
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i4.8481

Abstract

Bencana banjir yang melanda Provinsi Aceh pada November 2025 merupakan salah satu bencana hidrometeorologi besar yang berdampak luas terhadap kehidupan masyarakat. Banjir terjadi di 16 kabupaten/kota dan mengakibatkan hampir 120 ribu jiwa terdampak, puluhan ribu warga mengungsi, serta kerusakan signifikan pada permukiman dan infrastruktur. Peristiwa ini memicu respons publik yang masif di media sosial, khususnya Instagram. Penelitian ini bertujuan untuk menganalisis sentimen respons masyarakat terhadap bencana tersebut menggunakan pendekatan Natural Language Processing (NLP) berbasis lexicon. Data diperoleh melalui proses data crawling terhadap 2.790 komentar Instagram, yang selanjutnya diproses melalui tahapan text cleaning, case folding, tokenization, stopword removal, dan stemming. Hasil analisis menunjukkan dominasi sentimen positif sebesar 62,51%, diikuti sentimen netral 24,98% dan negatif 12,51%. Temuan ini menunjukkan adanya apresiasi, harapan, serta kritik masyarakat terhadap penanganan bencana, dan dapat menjadi bahan evaluasi bagi pemangku kebijakan dalam meningkatkan strategi penanganan dan komunikasi bencana berbasis data.
PROFILE OF HIGH SCHOOL STUDENTS' UNDERSTANDING IN SOLVING STOICHIOMETRY PROBLEMS IN TERMS OF MULTIPLE INTELLIGENCES Gani, Abdul; Nuri, Humaira; Zulfadli, Zulfadli; Winarni, Sri; Khaldun, Ibnu
Jurnal Pendidikan Matematika dan IPA Vol. 17 No. 2 (2026): May 2026
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jpmipa.v17i2.97050

Abstract

Understanding the concept of mole in chemistry learning is an important aspect in supporting student learning success, especially in stoichiometry material which is abstract and complex. This research aims to explore the profile of students' conceptual understanding of stoichiometry based on the dominance of multiple intelligences. The study employed a descriptive qualitative approach with 36 students of class XI-F4 at SMAN 1 Darul Imarah. Data were collected through a multiple intelligence questionnaire, concept understanding test, and semi-structured interview. Data analysis consisted of data presentation and data verification, conducted by comparing students’ test results with interview responses to ensure consistency of understanding indicators. The results showed that students with linguistic, intrapersonal, and interpersonal intelligence understood all indicators of understanding, such as defining concepts, interpreting meanings, identifying concept features, and comparing relevant concepts. Students with logical-mathematical and musical intelligences were able to understand most indicators but had difficulty in differentiating concepts. Students with spatial, naturalistic, and existential intelligences excelled in concept identification and comparison but lacked in verbal definition. Students with kinesthetic intelligence mastered only basic indicators. This finding confirms that intelligence variation plays an important role in understanding chemical concepts. Teachers are expected to design learning that is adaptive to students’ intelligence profiles to improve learning quality.
Co-Authors Abdul Gani Adlim*, Muhammad Affiano, Aseptian Ahmad, Syarif Andrian, Rian Arsad, Nurazidawati Mohamad Asrianda Asrianda Azzahari, Muhammad Basri, Seta Basyir, M. Chumaedi, Ahmad Dewi Saraswati, Dewi Dewi, Arsy Febrina Elfa, Devita Erwanda, Ade Putra Febriani Findayani, Zulia Fitri, Desi Ely Habibati Habibati Hasan*, Muhammad Khaidar, Al Khwaengmek, Wipavadee Latifah Hanum Lisnawanty M Nasir M. Hasan Maghfirah, Siti Mahmud Mauliana, Ulfa Mauliza, Yuli Mentari Mentari, Mentari Mohtar, Lilia Ellany Muhammad Fikry Muhammad Hasan Mulhadi, Mulhadi Nabila, Suci Nazar, M. Noeryoko, Mochamad Noorthaibah Nuri, Humaira Oetomo, Wateno Rini Safitri Rozaliana Rozaliana Sari, Richa Purmaya Sri Winarni Sulastri Sulastri Syukri*, Muhammad Ulfa, Zuchra Windi Irmayani Yavuz, Musa Zakia, Rizki Zulfadli Zulfadli Zulharman Zulharman