Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jupiter Journal of Computer & Information Technology Prosiding University Research Colloquium
Afri Yudha
Institut Bisnis Muhammadiyah Bekasi
Humanities Computer Science & IT Environmental Science Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
SISTEM TEMU KEMBALI INDEX BERITA MENGGUNAKAN VECTOR SPACE MODEL Afri Yudha
Jupiter: Journal of Computer & Information Technology Vol 1, No 1 (2020): JUPITER: Journal of Computer, Information & Technology
Publisher : Institut Bisnis Muhammadiyah Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (286.74 KB) | DOI: 10.53990/cist.v1i1.81

Abstract

Arikunto, S. (2006). Prosedur penelitian: Suatu pendektan praktek. Jakarta: Rineka Cipta.Baeza R.Y, Neto R. (1999). Modern Information Retrieval, Addison’ Manning, Christopher D, Prabhakar Raghavan dan Hinrich Schutze. 2009. An Introduction to Information Retreival, England: Cambridge University Press.Pendit, P. L. (2008). Perpustakaan Digital Dari A Sampai Z. Jakarta: Cita karyakarsa.Pendit, P.L. [et al.]. (2007). Perpustakaan Digital; Perpustakaan Digital: Perpekstif Perpustakaan Perguruan Tinggi Indonesia, Jakarta: Sagung Seto. 52
SISTEM INFORMASI PENJADWALAN RUANG KELAS PERKULIAHAN BERBASIS WEB MENGGUNAKAN WATERFALL MODEL PADA INSTITUT BISNIS MUHAMMADIYAH BEKASI Afri Yudha; Muhammad Ihya Aulia Elfatiha
Jupiter: Journal of Computer & Information Technology Vol 2, No 2 (2021): JUPITER: Journal of Computer, Information & Technology
Publisher : Institut Bisnis Muhammadiyah Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (604.479 KB) | DOI: 10.53990/cist.v2i2.141

Abstract

Information technology in universities is already a primary necessity. Universities are required to provide optimal services to students, one of which is scheduling lecture rooms. Research on the scheduling of lecture classrooms at The Muhammadiyah Bekasi Business Institute is still done manually, a factor related to the manual system is the lack of efficiency and precision in its work so that it is not uncommon to share the intersected rooms. Software development method using Software Development Life Cycle Waterfall Model. Field direct observation data collection techniques, system development tools using UML (Unified Modeling Language), programming languages using PHP, HTML, CSS, Javascript, and Jquery, server-side scripting using MySQL databases. The result of this research is an information system of scheduling lecture rooms that is able to manage to schedule, especially in the division of lecture space and facilitate academic personnel in the preparation of schedules, more flexible and efficient, harmony and sustainable.
Sentiment Analysis Pandangan Masyarakat Terhadap Tarif Tol Trans-Jawa Menggunakan Support Vector Machine dan Particle Swarm Optimization Afri Yudha; Yosep Nuryaman; Aulia Andhikawati; Ernawati Ernawati; Nandang Suwela
Prosiding University Research Colloquium Proceeding of The 10th University Research Colloquium 2019: Bidang Teknik dan Rekayasa
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (637.574 KB)

Abstract

Jalan Tol Trans-Jawa adalah jalan tol yang menghubungkan kota-kota di pulau Jawa dimana mempunyai jarak ±1.000 kilometer, Jalan tol ini menghubungkan dua kota terbesar di Indonesia Jakarta danSurabaya, banyak opini masyarakat baik dunia nyata maupun dimedia sosial mengenai tol trans jawa terlebih tarifnya yang hampirmencapai 1 juta rupiah, pada penulisan jurnal ilmiah ini dilakukansentiment analysis terkait tarif tol trans jawa, data yang digunakandiambil dari jaringan media sosial twiter pada periode bulan junidan juli, didapatkan data mentah 543 data, setelah dilakukancleansing dan Preprocessing, data yang dapat diolah 108 datadengan rincian 54 negatif dan 54 positif. Berdasarkan pemodelanmenggunakan algoritma support vector machine(SVM) didapatbahwa pandangan masyarakat terhadap jalan tol trans-jawa terlihatlebih banyak yang positif sebesar 52% dengan akurasi 68,36%dengan kurva roc 0,776 dan di optamasi dengan Particle SwarmOptimization (PSO) sehingga mengalami kenaikan akurasi menjadi75% dan kurva roc 0,802, lalu dari hasil yang didapatkan dibuatlahkamus data dari bobot yang ada menggunakan Visual Basic .NET(VB.Net).
Co-Authors Aulia Andhikawati Ernawati Ernawati Muhammad Ihya Aulia Elfatiha Nandang Suwela Yosep Nuryaman