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Aplikasi Teknologi Multibeam Echosounder dalam Penentuan Kedalaman dan Jenis Sedimen Waduk Selorejo guna Menunjang Aktivitas Perikanan Masyarakat Pribadi, Cherie Bhekti; Hariyanto, Teguh; Yuwono; Pratomo, Danar Guruh; Khomsin; Cahyono, Agung Budi; Hayati, Noorlaila; Bioresita, Filsa; Hariyanto, Irena Hana; Syariz, Muhammad Aldila
Sewagati Vol 8 No 4 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i4.1215

Abstract

Waduk Selorejo merupakan salah satu waduk yang berfungsi sebagai sumber air baku, irigasi, pembangkit listrik tenaga air, dan wisata. Keberadaaan waduk tersebut menjadi sumber mata pencaharian bagi beberapa penduduk disekitarnya. Proses identifikasi kondisi dasar perairan waduk dilakukan guna memperoleh informasi berupa kondisi kedalaman perairan dan jenis sedimentasi pada Waduk Selorejo, hal tersebut dapat dijadikan sebagai acuan masyarakat yang berprofesi sebagai nelayan dalam melakukan proses penangkapan ikan di waduk tersebut. Data backscatter digunakan untuk klasifikasi sedimen dan deteksi objek di dasar perairan. Nilai backscatter dapat menggambarkan kondisi sedimen di dasar perairan, termasuk ukuran butir dari sedimen dasar perairan. Salah satu metode yang dapat digunakan untuk menganalisis data backscatter adalah Angular Response Analysis (ARA). Metode ini memanfaatkan variasi nilai backscatter terhadap sudut insiden gelombang akustik. Hasil pengolahan data mosaic backscatter menunjukkan intensitas yang bervariasi di berbagai area waduk, dengan intensitas tinggi di sisi barat dan intensitas rendah di sisi timur dengan rerata nilai intesitas total adalah sekitar -60 dB. Hasil intensitas pemukaan dasar perairan tersebut menunjukkan bahwa dominasi jenis sedimen di Waduk Selorejo adalah clay atau tanah liat.
PAI-AI Trinity of Knowledge: An Examination of Artificial Intelligence in Islamic Religious Education through the Lens of the Philosophy of Science Waluyo; Khomsin; Tanfirul Khoiri
Wahana Akademika: Jurnal Studi Islam dan Sosial Vol. 12 No. 2 (2025): Vol. 12, No. 2, October 2025
Publisher : Kopertais Wilayah X Jawa Tengah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wa.v12i2.28574

Abstract

A conceptual model that operationally combines contemporary artificial intelligence (AI) literacy with the philosophical framework of Islamic science for the context of religious learning does not yet exist. This research aims to develop a conceptual framework between PAI and AI from the perspective of the Philosophy of Science. The research method is by conducting a structured literature review (scoping review) followed by conceptual synthesis using triangulation analysis. The results of the research resulted in a conceptual framework of the PAI-AI Trinity of Science that integrates three main dimensions. First, epistemic, which is the ability to verify, validate, and contextualize AI-generated knowledge in the sharia corridor, including tracking scientific sanad and source validity. Second, ethics, namely the application of the principles of maqasid al-shariah and Islamic manners in AI human interaction, which includes the protection of human benefits, justice, and honor. Third, axiology, which is the orientation of the use of AI for moral, useful, and sustainable educational purposes according to the vision of Islamic education. In conclusion, the unification of the philosophical tradition of Islamic science with AI literacy and explainable AI (xAI) in education can be translated into curriculum competency design that includes aspects of knowledge, skills, and attitudes; management of digital tools and resources; and a sustainable evaluative research agenda. This framework is expected to be a reference for the development of an Islamic Religious Education curriculum that is adaptive to technological disruptions, but still rooted in Islamic scientific values and principles.
PAI-AI Trinity of Knowledge: An Examination of Artificial Intelligence in Islamic Religious Education through the Lens of the Philosophy of Science Waluyo; Khomsin; Tanfirul Khoiri
Wahana Akademika: Jurnal Studi Islam dan Sosial Vol. 12 No. 2 (2025): Vol. 12, No. 2, October 2025
Publisher : Kopertais Wilayah X Jawa Tengah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wa.v12i2.28574

Abstract

A conceptual model that operationally combines contemporary artificial intelligence (AI) literacy with the philosophical framework of Islamic science for the context of religious learning does not yet exist. This research aims to develop a conceptual framework between PAI and AI from the perspective of the Philosophy of Science. The research method is by conducting a structured literature review (scoping review) followed by conceptual synthesis using triangulation analysis. The results of the research resulted in a conceptual framework of the PAI-AI Trinity of Science that integrates three main dimensions. First, epistemic, which is the ability to verify, validate, and contextualize AI-generated knowledge in the sharia corridor, including tracking scientific sanad and source validity. Second, ethics, namely the application of the principles of maqasid al-shariah and Islamic manners in AI human interaction, which includes the protection of human benefits, justice, and honor. Third, axiology, which is the orientation of the use of AI for moral, useful, and sustainable educational purposes according to the vision of Islamic education. In conclusion, the unification of the philosophical tradition of Islamic science with AI literacy and explainable AI (xAI) in education can be translated into curriculum competency design that includes aspects of knowledge, skills, and attitudes; management of digital tools and resources; and a sustainable evaluative research agenda. This framework is expected to be a reference for the development of an Islamic Religious Education curriculum that is adaptive to technological disruptions, but still rooted in Islamic scientific values and principles.
PEMODELAN TSUNAMI BANYUWANGI DENGAN SOFTWARE COMCOT Hendrik Setyobudi; Danar Guruh Pratomo; Khomsin
Jurnal Geosaintek Vol. 11 No. 3 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25023659.v11i3.8866

Abstract

Tsunami di wilayah selatan Jawa, khususnya Banyuwangi, merupakan ancaman signifikan akibat aktivitas megathrust di Zona Subduksi Sunda. Penelitian ini mengevaluasi kinerja software COMCOT versi 1.7 dalam memodelkan skenario tsunami berdasarkan kejadian historis tahun 1994 di Banyuwangi. Pendekatan nested gridditerapkan dengan data bathimetri dari GEBCO untuk layer 1 (resolusi kasar) dan BATNAS/DEMNAS untuk layer 2 (resolusi halus), untuk mensimulasikan empat skenario sumber gempa seperti bujur, lintang, panjangbidang patahan, lebarbidang patahan, kedalaman patahan, strike, dip, slip dan dislokasi. Hasil simulasi menunjukkan ketinggian gelombang maksimum hingga 12.11m di wilayah Bandialit sementara di daerah rajekwesi ketinggiannya 10.64 m. Skenario ke-4 memiliki parameter sumber lintang 11 LS, bujur 113.7 BT, panjang bidang patahan 160 km, lebar bidang 40 km, kedalaman patahan 0 km, strike 2800, dip 120, slip 900dan dislokasi 18 m.Ketinggian tsunami terhadap data model untuk skenario ke-4 menghasilkan akurasi terbaikdengan nilai RMSE sebesar 1.44088 m dan koefisien korelasi 0.828282, hal ini menandakan kesesuaian yang baik antara modeldan observasi. Temuan ini mengonfirmasi reliabilitas COMCOT dalam memprediksi inundasi tsunami dan menyediakan rekomendasi teknis untuk pengembangan sistem peringatan dini, pemetaan zona rawan, serta rencana evakuasi di pesisir selatan Jawa.