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All Journal Journal of Innovation Information Technology and Application (JINITA) INERSIA
Mulyadi, Rahmat
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Materials Science & Nanotechnology Neuroscience Transportation

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PENGARUH PENGGUNAAN CRUMB RUBBER DENGAN MATERIAL PALU DAN FILLER BATU LATERIT TERHADAP NILAI KARAKTERISTIK MARSHALL PADA ASPHALT CONCRETE – BINDER COURSE (AC-BC) Mulyadi, Rahmat; M. Hidayat; Karminto
JURNAL INERSIA Vol. 11 No. 1 (2019): Jurnal Inersia
Publisher : POLITEKNIK NEGERI SAMARINDA

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Abstract

Aspal Concrete – Binder Course ( AC-BC ) adalah Lapisan yang berguna untuk meneruskan beban menuju ke pondasi. Untuk meningkatkan sifat fleksibilitas, salah satunya dengan penggunaan Crumb Rubber berasal dari limbah ban ukuran lolos saringan No. 4 (4,75 mm) sebagai bahan Tambah. Penelitian ini bertujuan mengetahui kadar aspal optimum campuran AC-BC dan mengetahui pengaruh penambahan Crumb Rubber dan filler batu laterit terhadap nilai karakteristik Marshall serta nilai kadar optimum penambahan crumb rubber pada campuran AC-BC. Tahapan awal penelitian mencari Kadar Aspal Optimum (KAO), kemudian dilakukan penambahan Crumb Rubber kadar 0%, 2%, 4%, 6%, dan 8% terhadap total berat benda uji dan filler batu laterit dengan kadar 5 %. Hasil penelitian didapatkan nilai Kadar Aspal Optimum (KAO) sebesar 5,4 % dan Nilai stabilitas, VMA, dan MQ tertinggi didapat pada kadar crumb rubber 2 % adalah 1111 kg dan 16,66%, nilai flow tertinggi pada kadar 8 % adalah 13,18 mm, nilai VIM tertinggi pada kadar 4 % adalah 4,96%. Nilai optimum yang dapat digunakan dalam campuran AC-BC adalah 2%. Penggunaan crumb rubber pada campuran AC-BC mampu menahan kelelehan plastis lebih baik dari campuran aspal konvensional.
Fuzzy Expert System for Decission Support to Diagnosis Leukemia Wanti, Linda Perdana; Prasetya, Nur Wachid Adi; Nafisa, Zahrun; Mulyadi, Rahmat; Ramadani, Muhammad
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 1 (2025): JINITA, June 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v7i1.2349

Abstract

Leukemia is a cancer of the blood and bone marrow. In leukemia, the bone marrow produces too many abnormal white blood cells. These abnormal cells cannot fight infections well and can displace healthy blood cells, which can cause anemia and bleeding. In this study, a fuzzy method will be implemented to diagnose leukemia and the results will later be compared with expert diagnoses. Fuzzy logic was chosen because it allows for degrees of truth between 0 (completely false) and 1 (completely true) and it is suitable for situations where human expertise relies on experience and judgment rather than fixed rules. Fuzzy systems can analyze large amounts of data quickly, thereby accelerating the diagnosis and decision-making process, especially when used in medical decision support systems. This study produced a leukemia diagnosis accuracy of 88.83% when compared with the results of expert diagnoses using the same symptom and sample data.
Co-Authors Karminto M. Hidayat Nafisa, Zahrun Nur Wachid Adi Prasetya Ramadani, Muhammad Wanti, Linda Perdana