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Herdiana, Ruli
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Computer Science & IT

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Penerapan Algoritma Support Vector Machine dalam Mengukur Kepuasan Pembelajaran Hybrid Learning Nurdiawan, Odi; Herdiana, Ruli; Anwar, Saeful
MEANS (Media Informasi Analisa dan Sistem) Volume 6 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1103.694 KB) | DOI: 10.54367/means.v6i2.1511

Abstract

pembelajaran hybrid learnig di perguruan tinggi STMIK IKMI Cirebon mengukur tingkat kepuasan dengan mengkolaborasikan teori support vector machine. Penelitian ini dibagi menjadi 3 (tiga) tahapan. Tahap 1 (Satu) menentukan kriteria standar mutu pendidikan yang mengacu pada pedoman pendidikan. Kemudian membuat literatur review pustaka dan melakukan analisa data primer Tahap 2 (Dua) melakuan desain modelling dengan mengelolan data primer yang mengacu pada standar pendidikan jarak jauh dan preprocessing guna meminimalisir noise pada data primer kemudian memodelkan Support Vector Machine dengan PSO Tahap 3 (Tiga) Analysis and Result membahas hasil penentuan kepuasan mahasiswa terhadap pembelajaran hybrid learning. hasil akurasi tidak puas ternyata true tidak puas sebanyak 236 data, hasil akurasi tidak puas ternyata true puas sebanyak 10 data, hasil akurasi puas ternyata true tidak puas sebanyak 0 data, dan hasil prediksi puas dan ternyata true puas sebanyak 105 data
RANCANG BANGUN SISTEM INFORMASI PORTAL BERITA BERBASIS WEB PADA DINAS PEMUDA DAN OLAHRAGA KABUPATEN CIREBON Pratama, Hilda Fidyah Hadi; Hamonangan, Ryan; Herdiana, Ruli; Tohidi, Edi; Hayati, Umi
MEANS (Media Informasi Analisa dan Sistem) Volume 7 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (646.917 KB) | DOI: 10.54367/means.v7i1.1856

Abstract

The Cirebon Regency Youth and Sports Office (Dispora Cirebon) is a regional work unit that is given the mandate and duties and responsibilities in handling development in the Youth and Sports Sector in the Cirebon Regency environment. In this day and age, a touch of Information System technology such as a website must have become a necessity for government agencies, as a support for more centralized, accurate, and fast information. However, there was no website-based information system at the Cirebon Dispora as a medium for disseminating information at that time. The writer uses primary data sources (Observation and Interview) and secondary data sources (Documentation Study). For system design, the author uses the SDLC (System Development Life Cycle) method. The final result obtained is a website-based Information System, which can provide information about profiles, activities or articles about Dispora Cirebon to the wider community. With several advantages of website technology, the Website-Based News Portal Information System is expected to expand the reach of information dissemination to all aspects of society.
PENERAPAN ALGORITMA FP GROWTH PADA PENJUALAN PRODUK DISTRO RADEN MADURA Putra, Arya Kamandanu; Hamonangan, Ryan; Herdiana, Ruli; Tohidi, Edi; Hayati, Umi
MEANS (Media Informasi Analisa dan Sistem) Volume 7 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (661.226 KB) | DOI: 10.54367/means.v7i1.1858

Abstract

The transaction data for the purchase of the distro's cost of selling is quite stable but its sales are less than the sales target, so it is necessary to manage sales data. The focus of this research is focused on the management of purchase transaction data that will be used as a dataset. The management uses the FP-Growth algorithm which takes from the item set, from the algorithm it gets a buying pattern that will become information for making a decision. Based on the results of the study, the authors conclude that the pattern of purchases by consumers gets a pattern of sales, namely, consumers by buying 1 item of T-shirts from distributions will buy back one item of T-shirts from 26 different distributions. consumers by buying 2 items of t-shirts distributions will buy back 1 item of t-shirts from different distributions as many as 72 patterns, and consumers by buying 3 items of t-shirts distributions will buy back 1 item of t-shirts with different distributions of 25 patterns.
Co-Authors Anawar, Saeful Aprilyani, Wiwin Dienwati Nuris, Nisa Hamonangan, Ryan Hayati, Umi Iin, Iin Kaslani Lestari, Ratih Lorentiana Wijayanti, Rima Mulyawan, Mulyawan Narasati, Riri Narasati Novareza, Apip Nurarofah, Eva Odi Nurdiawan Pebdika, Angga Pratama, Hilda Fidyah Hadi Pratama, Radi Putra, Arya Kamandanu Riansah, Adam Rizky Maulana, Rizky Rudi Kurniawan Saeful Anwar, Saeful Sajidah, Sajidah Solihudin, Dodi Susana, Heliyanti Tohidi, Edi Wahyudin, Edi