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All Journal Elkom: Jurnal Elektronika dan Komputer KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Sistemasi: Jurnal Sistem Informasi JITK (Jurnal Ilmu Pengetahuan dan Komputer) JTIK (Jurnal Teknik Informatika Kaputama) E-Link: Jurnal Teknik Elektro dan Informatika Jurnal Infortech KLIK: Kajian Ilmiah Informatika dan Komputer Indonesian Journal of Networking and Security - IJNS I'thisom: Jurnal Ekonomi Syariah
Muhammad Rifqi Firdaus
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Library & Information Science

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PERAN STRATEGIS ZAKAT DALAM MENGURANGI KETIMPANGAN EKONOMI DAN KEMISKINAN Ainun Defrilia; Lifia Revanata; Adinda Thalia Salsa Bela; Muhammad Rifqi Firdaus; Amalia Nuril Hidayati
I'THISOM : Jurnal Ekonomi Syariah Vol. 4 No. 2 (2025): I`thisom Edisi Oktober
Publisher : LPPM Sekolah Tinggi Agama Islam Al-Utsmani Bondowoso

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70412/its.v4i2.200

Abstract

This study aims to explore the significance of zakat in reducing poverty and economic inequality in Indonesia. As one of the key instruments in the Islamic economic system, zakat holds great potential to foster social justice through the redistribution of wealth from the affluent to those in need. In a country like Indonesia, where the majority of the population is Muslim, optimizing zakat plays a crucial role in supporting inclusive economic development. This research employs a literature review method by analyzing various academic sources and secondary data related to zakat management, implementation challenges, and optimization strategies. The findings indicate that zakat serves not only as consumptive aid to fulfill basic needs but can also be directed toward productive uses to empower the economy of the mustahik through training programs, business capital, and sustainable support. However, to maximize its effectiveness, zakat requires professional, transparent, and accountable management, along with strong collaboration between zakat institutions, the government, and society. In the long term, zakat can be a strategic and sustainable solution to address social inequality and significantly reduce poverty levels in Indonesia.
Analisis Perbandingan Metode SMART Dan MOORA Pada Pemilihan Karyawan Terbaik Klinik Kecantikan Yuris Alkhalifi; Muhammad Rifqi Firdaus; Dinar Ismunandar; Irwan Herliawan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1620

Abstract

An employee is a person who works for a particular company or institution. One of the activities that a company or agency often does to motivate its employees to show their best performance is to select the best employees. Making the best employee decisions with simple calculations is often found problematic due to the plethora of considerations of several factors, one of which is the factor that describes how important the assessment weight of one criterion with the business weight of another. The problem was found at Karawang's Nastyaderm Beauty Clinic. Then the solution needed to solve the problem is to use decision-making technology such as the Decision Support System. (SPK). The aim of this research is to find the best employees by using a comparison of two SPK methods namely SMART and MOORA to find out which are the best method rated, easy to apply and relevant. The number of employees that will be evaluated is as many as 5 people. The evaluation was given by the owner of the Beauty Clinic Nastyaderm Karawang, the mother of Dr. Lina Wijaya. The results of research and testing of 5 employees obtained the highest score on the SMART method on behalf of Tiara Anggraeni with a score of 0.725 or 72.5%. By obtaining results from both methods, it provides an overview of the results of the two methods and can help provide alternative solutions to the owner of a beauty clinic to determine the best employee of his working environment
ANALISIS SENTIMEN TWITTER TERHADAP MENTERI INDONESIA DENGAN ALGORITMA SUPPORT VECTOR MACHINE DAN NAIVE BAYES Siti Nurhasanah Nugraha; Rangga Pebrianto; Abdul Latif; Muhammad Rifqi Firdaus
E-Link: Jurnal Teknik Elektro dan Informatika Vol. 17 No. 1: Mei 2022
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/e-link.v17i1.3965

Abstract

Kabinet Indonesia Maju adalah kabinet pemerintahan Indonesia pada pimpinan Presiden JokoWidodo dan Wakil Presiden Ma’ruf Amin. Dengan dilantiknya para menteri di Kabinet IndonesiaMaju, tokoh politik yang memiliki jabatan dan tanggung jawab sebagai menteri dalammelaksanakan tanggung jawabnya tak lepas dari berbagai opini. Salah satu metode untukmengelompokkan kategori opini pengguna media sosial adalah sentiment analyst. Penelitian inimenggunakan dataset hasil crawling dari twitter dengan kata kunci “Menteri”. Hasil crawlingdiolah menggunakan kedua model algoritma yaitu Support Vector Machine (SVM) dan Naïve Bayes.Penelitian ini membandingkan hasil cross validation algoritma SVM dengan Naïve Bayes. Hasilcross validation dari algoritma SVM menunjukkan nilai accuracy sebesar 89,60%, recall 90,91%,precission 97,64%. untuk algoritma Naïve Bayes dihasilkan accuracy sebesar 85,74%, recall85,74%, precission 100,00%. SVM bekerja memaksimalkan margin antara dua kelas yang berbeda,Naïve Bayes sederhana menerapkan teori probabilitas untuk mencari kemungkinan terbesar dariklasifikasi. Dari hasil tersebut dapat disimpulkan kedua algoritma yang digunakan memberikansolusi untuk masalah klasifikasi dalam kasus analisis sentimen menteri, terlepas dari SVMmenghasilkan akurasi yang lebih baik.
Co-Authors Abdul Latif Abdul Latif Abdul Latif Adinda Thalia Salsa Bela Ainun Defrilia Amalia Nuril Hidayati Amin Nur Rais Arief Rama Sena Dinar Ismunandar Dini Silvi Purnia, Dini Silvi Elah Nurlelah Erika Mutiara Erni Ermawati Fuad Nur Hasan Gata, Windu Ipin Sugiyarto Irwan Herliawan Irwan Herliawan - Universitas Nusa Mandiri Kartika Handayani Lady Agustin Fitriana Lifia Revanata Lisnawanty Muhamad Abdul Ghani Muhamad Fahmi Julianto Muhammad Ifan Rifani Ihsan Nila Hardi Popon Handayani Rangga Pebrianto Rizka Dahlia Siti Nurhasanah Nugraha Windu Gata Yuris Alkahfi Yuris Alkhalifi