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All Journal Inersia : Jurnal Teknik Sipil dan Arsitektur U Karst JOURNAL OF CIVIL ENGINEERING, BUILDING AND TRANSPORTATION Rang Teknik Journal BENTANG : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil Jurnal Riset Rekayasa Sipil Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan Jurnal Teknika Jurnal Pengabdian UNDIKMA Blend Sains Jurnal Teknik Teknologi Sipil : Jurnal Ilmu Pengetahuan dan Teknologi Journal of Civil Engineering and Vocational Education
Mahardi Kamalika Khusna Ali
Universitas Kadiri
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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MICP Meningkatkan Kohesi dan Sudut Geser Tanah Lempung Berplastisitas Rendah Pada Kadar Air Tinggi Rizaldi, Fahrul; Ali, Mahardi Kamalika Khusna
Jurnal Teknika Vol 18 No 1 (2026): MARET
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/jt.v18i1.1594

Abstract

Tanah lempung menunjukkan karakteristik mekanik yang sangat dipengaruhi oleh perubahan kadar air, sehingga rentan mengalami penurunan parameter kuat geser pada kondisi jenuh maupun selama siklus pembasahan–pengeringan. Penelitian ini bertujuan untuk menganalisis pengaruh durasi inkubasi terhadap perkembangan parameter kuat geser efektif tanah lempung berplastisitas rendah (CL) yang distabilisasi menggunakan metode Microbially Induced Calcite Precipitation (MICP) melalui pendekatan biostimulasi. Sampel tanah disiapkan dalam dua kondisi, yaitu tanpa perlakuan dan dengan perlakuan MICP, kemudian diinkubasi selama 0, 7, dan 14 hari. Parameter kohesi (c′) dan sudut geser dalam (φ′) diperoleh melalui pengujian direct shear test dan dianalisis berdasarkan kriteria kegagalan Mohr–Coulomb. Hasil pengujian menunjukkan bahwa peningkatan durasi inkubasi berkontribusi signifikan terhadap kenaikan parameter kuat geser pada sampel MICP. Pada masa inkubasi 14 hari, nilai kohesi mencapai 10,794 kPa, meningkat sekitar 167% dibandingkan tanah tanpa perlakuan, sedangkan sudut geser meningkat hingga 27,889° atau sekitar 63% lebih tinggi dibandingkan sampel untreated. Tegangan geser maksimum juga tercatat meningkat hingga sebesar 140% dibandingkan tanah tanpa perlakuan. Analisis statistik menggunakan uji ANOVA pada tingkat kepercayaan 95% menunjukkan bahwa perbedaan parameter geser antarperlakuan signifikan secara statistik (p < 0,05) pada seluruh variasi durasi inkubasi. Peningkatan parameter kuat geser tersebut mengindikasikan bahwa presipitasi CaCO₃ yang berkembang selama masa inkubasi berperan dalam memperkuat ikatan antarpartikel tanah. Hasil penelitian ini menunjukkan bahwa MICP berbasis biostimulasi merupakan metode stabilisasi yang efektif dalam meningkatkan performa mekanik tanah lempung, melalui peningkatan kohesi dan sudut geser seiring bertambahnya durasi inkubasi.
Implementation of ChatGPT Training to Enhance Artificial Intelligence Literacy Among First-Year Dental Students Candra, Agata Iwan; Ali, Mahardi Kamalika Khusna; Tobing, Meyrinda; Gunawan, Ibnu; Indriyasari, Arini; Maharnindra, Dery; Rohmatin, Nur
Jurnal Pengabdian UNDIKMA Vol. 7 No. 2 (2026): May
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v7i2.17662

Abstract

This community service aims to enhance AI literacy among first-year dental students through a ChatGPT-based training program, resulting in improved understanding of AI concepts, practical skills in using ChatGPT, and critical awareness in assessing its outputs.. A total of 58 students participated, with effectiveness measured through a pre-test and post-test Likert-scale questionnaire covering five indicators: understanding of AI and ChatGPT, application in learning, technical skills, critical validation, and academic confidence. Results showed improvements in all indicators, with the highest increase in technical skills (56.08%) and the lowest in critical validation (29.77%). One-way ANOVA confirmed significant differences among indicators (F = 88.335, p < 0.05). These findings demonstrate that short training can effectively strengthen students’ AI literacy by improving knowledge, technical proficiency, and academic confidence. Nonetheless, the relatively lower gain in critical validation highlights the need for extended guidance in verifying ChatGPT outputs. This program can serve as a practical model for fostering digital literacy in higher education.
Co-Authors Agata Iwan Candra Agata Iwan Candra Alfina Iskindaria Andri Dwi Cahyono Arif Rivianto Dwifi Aprillia Karisma Elsa Rizqi Purwanti Faiz Muhammad Azhari Farikhatul Mufaidah Fauzie Nursandah Fitry Rahmawaty Gilang Wahyu Kottama Herlangga Duta Pramudya Hidiyati, Evita Fitrianis Husna, Nadiya Ibnu Gunawan Ilham Rizqi Nurdian Putra Indriyasari, Arini Kavindo Yugiswara Hutama Maharnindra, Dery Ma’rifatul Mumayyizah Moch. Risjad Aldiansyah Mohammad Roziq Mokhamat Wildan Prasetyo Muhamad Rizal Agus Joko Budiawan Muhammad Rifqi Fatkhur Rohman Muhammad Sousa Taufani Pertiwi, Sheila Ananda Putri Rayhansah, Rina Rebut Rikha Wirda Izzati Rina Dwi Fatika Rizaldi, Fahrul Rohmatin, Nur Roid Ahmad Faizin Sari, Tiara Sherlyta Silviana Rohmatin TOBING, MEYRINDA Zaizafun Zakiya