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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

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.

Application of GNSS Interferometric Reflectometry (GNSS-IR) for Monitoring Tidal Variations in Coastal Zones Zulkifli, Hairul; Pratomo, Danar Guruh; Khomsin
Jurnal Penelitian Pendidikan IPA Vol 11 No 9 (2025): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i9.12539

GNSS-Interferometric Reflectometry (GNSS-IR) utilizes Signal-to-Noise Ratio (SNR) data from GNSS satellites to estimate sea level variations. This study applied GNSS-IR using GPS L1 SNR data from four CORS stations (CBEL, CLKI, CHAI, CLMP), paired with their nearest tide gauge stations (BLTG, LBKI, AMHI, LMPA) for validation. Data in RINEX 2.11 format at 30-second intervals were processed, considering antenna heights above the sea surface to extract reflection frequencies. Results indicate strong agreement at the LMPA (r = 0.94, RMSE = 0.17 m) and BLTG (r = 0.90, RMSE = 0.37 m) pairs, demonstrating the reliability of GNSS-IR under favorable conditions. The AMHI pair showed moderate correlation (r = 0.68, RMSE = 0.45 m), while the LBKI pair exhibited no meaningful correlation (r = –0.07), likely due to severe multipath disturbance and local site limitations. These findings suggest that GNSS-IR can provide cost-efficient and accurate sea level estimates, but performance is highly site-dependent and influenced by environmental and instrumental factors. The study highlights the potential of GNSS-IR to complement conventional tide gauges in Indonesia, while emphasizing the need for careful station selection and multi-frequency analysis in future applications.

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

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

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.

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