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Pemanfaatan Data Side Scan Sonar untuk Identifikasi Sedimen Dasar Laut (Studi Kasus Perairan Pesisir Lingga): The Utilization of Side Scan Sonar Data for Identification of Seabed Sediments (A Case Study of Lingga Coastal Waters ) Santosa, Yoyok Nurkaya; Amirudin, Mohammad; Handoko, Dadang; Putra, I Wayan Sumardana Eka
Jurnal Chart Datum Vol. 10 No. 1 (2024): Jurnal Chart Datum
Publisher : Sekolah Tinggi Teknologi Angkatan Laut (STTAL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37875/chartdatum.v10i1.348

Abstract

Teknologi Side Scan Sonar (SSS) telah menjadi alat penting dalam eksplorasi bawah laut, terutama untuk pemetaan dasar laut, identifikasi objek bawah air, dan survei arkeologi maritim. Teknologi ini bekerja dengan memancarkan gelombang suara ke samping dari kapal atau platform bawah laut, kemudian menangkap pantulan gelombang suara untuk menghasilkan gambar dua dimensi dari permukaan dasar laut. Penelitian ini bertujuan untuk mengevaluasi keefektifan penggunaan SSS dalam pemetaan dasar laut. Selain itu, penelitian ini juga bertujuan untuk mengidentifikasi jenis sedimen yang ada di dasar laut. Pemrosesan data SSS dilakukan menggunakan koreksi geometrik dan koreksi radiometrik. Lokasi penelitian berada di sekitar Perairan Lingga menggunakan instrumen Side Scan Sonar C-MAX CM2 dengan frekuensi 325 kHz. Pengolahan data menggunakan software SonarWiz 7, XtfTosegy, Seisee dan Matlab sehingga menampilkan grafik yang dapat menunjukan nilai amplitudo dari target yang terdeteksi pada 10 titik sampling sedimen dasar laut. Hasil pengolahan dan klasifikasi sedimen dari 10 titik tersebut terbagi menjadi 4 jenis sedimen antara lain: karang, kerikil pasiran, pasir, dan pasir kerikilan. Masing – masing jenis sedimen memiliki rentang nilai amplitudo sebesar 24920 - 32384 mV (karang); 27776 mV (kerikil pasiran); 20224 - 27520 mV (pasir); dan 23168 - 31744 mV (pasir kerikilan) dengan konversi amplitudo menjadi nilai hambur balik sebesar -1 s.d. -0.03 dB; -1.37 dB; -4.12 s.d. -1.45 dB; dan -2.94 sd -0.21dB.Pemanfaatan data SSS dapat menjadi alterntif untuk mengidentifikasi jenis sedimen pada kegiatan survei dan pemetaan hidro-osenaografi.  
Exploring Nursing Students’ Intention To Use Artificial Intelligence: A Mixed-Methods Study Based On Technology Acceptance Model And Theory Of Planned Behavior Adzim, Moch. Rizqilah Safiil; Amirudin, Mohammad; Wulandari, Siti; Winata, Rafi Hadi; Rias., M.Kep., PhD, Yohanes Andy
Holistic Nursing Plus Vol. 3 No. 2 (2025): Holistic Nursing Plus
Publisher : Sahabat Publikasi Kuu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58439/hnp.v3i2.365

Abstract

Background: Artificial intelligence (AI) has the potential to revolutionize nursing practice services. It is important for nurse education to prepare nursing students to utilize AI technology and be willing to adopt it in nursing learning practices. Purpose: The objectives of this study were (1) to explore the relationship between attitudes, perceived utilization and barriers to nursing students' intentions toward AI in the context of nursing practice; (2) to explore nursing students' intentions toward AI in the context of nursing practice in terms of the theory of technology acceptance model and theory of planned behaviors Methods: The study design used a mixed methods approach. A total of 581 nursing students from nursing education institutions in East Java were included in this study. Person correlation, t-test, linear regression and mediation analyses were conducted using Hayes' PROCESS macro in SPSS (Model 4). Focus group discussions were conducted and analyzed verbatim using thematic analysis. Results: Perceived utilization, management of barriers and attitudes toward using AI in nursing practice had a significant positive influence on student nurses' intentions toward AI. Attitude toward AI partially mediated the relationship between perceived utilization and barriers of AI in nursing practice and intention to adopt AI technology. Three overarching themes included (1) AI acceptance; (2) moral-ethics; (3) learning and practice. Conclusions: This study provide insights into the factors in increasing intention to use AI technology. Attitude is a mediating factor that needs to be further developed and analyzed. Nursing stakeholders should implement curriculum policies that emphasize AI acceptance, moral-ethics, and learning and practice. Keywords: Artificial intelligence, attitudes, barriers, intentions, utilization.
Strengthening Religious Moderation Values among Children in Babakanmulya Village, Cigugur Sub-District, Kuningan Regency through Traditional Dance Bachmisd, Balgis; Alam, Diana Putri; Zaida, Farah; Tsany, Ghazi Muhammad; Amirudin, Mohammad; Huda, Uu Nurul
Dimas: Jurnal Pemikiran Agama untuk Pemberdayaan Vol. 24 No. 2 (2024)
Publisher : LP2M of Institute for Research and Community Services - UIN Walisongo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/dms.v24i2.23026

Abstract

The construction of religious moderation in children through dance in Babakan Mulya is a strategic initiative to strengthen moderate attitudes in a pluralistic society. Implemented by KKN Religious Moderation IV students using the Sisdamas approach, the program involved four cycles: initial socialization, social mapping, participatory planning, and program implementation and evaluation. Survey results revealed misconceptions about local arts being tied to specific religions. The program addressed this by promoting tolerance and diversity through cultural activities, such as dance group formation. Local teenagers trained the children in dance, enhancing interfaith and ethnic relations. The program ended with an evaluation showing increased understanding among children about respecting diversity and maintaining harmony. The final results indicated that children began to appreciate cultural and religious diversity, contributing to a more moderate and harmonious society in the future.