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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JURNAL TEKNIK MESIN Jurnal Ilmiah Mahasiswa Raushan Fikr
Setiawan, Muhammad Nanda
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Religion Arts Computer Science & IT Engineering Mechanical Engineering Social Sciences

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Transfer of Funds Via Brilink an Analytical Study of Transactions Within the Framework of Wakalah Bil Ujrah Contract Setiawan, Muhammad Nanda; Hana, Kharis Fadlullah
Jurnal Ilmiah Mahasiswa Raushan Fikr Vol 13 No 2 (2024): Jurnal Ilmiah Mahasiswa Raushan Fikr
Publisher : Lembaga Kajian dan Pemberdayaan Mahasiswa UIN Prof. KH. Saifuddin Zuhri Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/jimrf.v13i2.11950

Abstract

With today's economic developments, Brilink has emerged as an initiative to provide more efficient and flexible services to the community. Brilink represents a collaboration between Bank BRI and its customers. Within its system, once a partnership is established and officially incorporated into a single corporation, it facilitates ease of transactions both within the same bank and across different banks. This service benefits customers and other parties wishing to conduct transactions without the cumbersome process of visiting a bank directly. This paper aims to elaborate on fund transfers via Brilink and analyze transactions in the context of the wakalah bil ujrah contract. Using a qualitative descriptive method, the study’s findings indicate that fund transfer transactions through Brilink do not constitute riba or usury from an Islamic perspective. This is primarily because the contract is based on mutual consent, involves no coercion, and is mutually beneficial. It also ensures transparency, wherein the customer pays a fee to the agent for the transactional services provided. This payment represents voluntary assistance or a form of mutual aid
Advancing machine learning for identifying cardiovascular disease via granular computing Ku Khalif, Ku Muhammad Naim; Muhammad, Noryanti; Mohd Aziz, Mohd Khairul Bazli; Irawan, Mohammad Isa; Iqbal, Mohammad; Setiawan, Muhammad Nanda
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp2433-2440

Abstract

Machine learning in cardiovascular disease (CVD) has broad applications in healthcare, automatically identifying hidden patterns in vast data without human intervention. Early-stage cardiovascular illness can benefit from machine learning models in drug selection. The integration of granular computing, specifically z-numbers, with machine learning algorithms, is suggested for CVD identification. Granular computing enables handling unpredictable and imprecise situations, akin to human cognitive abilities. Machine learning algorithms such as Naïve Bayes, k-nearest neighbor, random forest, and gradient boosting are commonly used in constructing these models. Experimental findings indicate that incorporating granular computing into machine learning models enhances the ability to represent uncertainty and improves accuracy in CVD detection.
KALIBRASI SENSOR PADA SISTEM DATA AKUISISI ALAT UJI UNJUK KERJA TURBIN ANGIN Miftahulumudin, Yadi Afriyadi; Munadi, Munadi; Setiawan, Muhammad Nanda
JURNAL TEKNIK MESIN Vol 12, No 1 (2024): VOLUME 12, NOMOR 1, JANUARI 2024
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Turbin angin merupakan komponen utama dalam sebuah pembangkit tenaga angin. Dalam pengembangan turbin angin, tentu saja diperlukan sebuah pengujian untuk menganalisa performanya. Pengujian ini menghasilkan data berupa tegangan, arus, dan daya yang dihasilkan oleh putaran turbin angin. Untuk mempermudah pengujian, diperlukan sebuah program data akuisisi yang dapat membaca dan merekam seluruh data secara bersamaan. Program data akuisisi ini akan menampilkan grafik hasil dari pembacaan sensor. Sensor- sensor yang digunakan antara lain sensor arus, penurun tegangan dan sensor photointerrupter. Pada penelitian ini, pengujian dilakukan menggunakan alat peraga sederhana wind power generator yang terdiri dari rangkaian motor dc 100W dan generator dc 150W, kemudian dihubungkan menggunakan shaft coupling. Generator ini akan diukur kecepatannya menggunakan sensor photointerrupter pada porosnya dan dikur juga tegangan serta arus yang dihasilkan. Sebelum dilakukan pengukuran, tentu saja harus dilakukan kalibrasi pada masing-masing sensor menggunakan alat ukur yang sesuai. Maka dari itu, penelitian ini akan membahas mengenai kalibrasi sensor yang akan digunakan dalam program data akuisisi. Untuk mengetaui keakuratan pembacaan sensor yang telah dikalibrasi maka dilakukan pengujian pada hasil tegangan 20V kemudian membandingkannya dengan hasil perhitungan pada rumus. Hasil dari pengujian ini yaitu mengetahui error pada variasi hasil tegangan 20V yaitu sebesar 1,85%.
Co-Authors Hana, Kharis Fadlullah Ku Khalif, Ku Muhammad Naim Miftahulumudin, Yadi Afriyadi Mohammad Isa Irawan Mohd Aziz, Mohd Khairul Bazli Muhammad, Noryanti Munadi Munadi