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All Journal PRofesi Humas Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Cerdika: Jurnal Ilmiah Indonesia
Lestari, Gita Cahyani
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Religion Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Health Professions Public Health Social Sciences Other

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Analisis Prediksi Kelulusan Course Pada E-Learning Menggunakan Model Klasifikasi Lestari, Gita Cahyani; Supatmi, Sri
Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Vol. 9 No. 2 (2023): November 2023
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jtk3ti.v9i2.11319

Abstract

Akademi Anti Korupsi merupakan platform belajar dengan basis E-Learning yang mudah diakses oleh semua masyarakat sehingga dapat belajar mengenai korupsi dan cara–cara memeranginya. Pada tahun 2021, jumlah pendaftar E-Learning Akademi Anti Korupsi mengalami penurunan secara drastis sebesar 52% dengan jumlah lulusan sebesar 71%. Akademi Anti Korupsi belum memiliki model yang dapat memprediksi kelulusan course peserta. Solusi untuk memprediksi kelulusan seseorang dapat menggunakan proses data mining. Tujuan dari penelitian ini untuk memprediksi kelulusan course dengan membandingkan metode data mining klasifikasi yaitu Decision Tree dan Random Forest, berdasarkan nilai akurasi menggunakan software orange yang memiliki keunggulan dalam visual programming. Data yang akan digunakan sebagai atribut yaitu data form registrasi yang sudah dilengkapi peserta akademi anti korupsi diantaranya jenis kelamin, pekerjaan, pengalaman pendidikan anti korupsi, umur, institusi, pengalaman E-Learning dan alasan mengikuti E-Learning anti korupsi. Pada penelitian ini, dilakukan prediksi kelulusan course menggunakan dua dataset yaitu dataset missing value dan dataset tanpa missing value. Hasil penelitian dengan menggunakan dua metode klasifikasi ini menunjukkan bahwa metode Random Forest dengan dataset missing value yang paling baik dalam melakukan prediksi kelulusan course peserta akademi antikorupsi dengan nilai akurasi sebesar 74,6% yaitu klasifikasi cukup (fair classification). Faktor signifikan yang mempengaruhi kelulusan course adalah umur, domisili, dan jenis kelamin.
Sistem Informasi Penjualan dan Persediaan Barang Dengan Metode Economic Order Quantity Pada PT. Dwi Surya Jakarta Maria, Maria; Krisna, Dany Yudha; Lestari, Gita Cahyani
Cerdika: Jurnal Ilmiah Indonesia Vol. 5 No. 11 (2025): Cerdika: Jurnal Ilmiah Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/cerdika.v5i11.2943

Abstract

This research aims to design and implement a sales and inventory information system that is integrated with the Economic Order Quantity (EOQ) method at PT. Dwi Surya Jakarta. The main problems faced by companies are difficulties in determining the optimal number of orders, frequent oversupply or shortage of stock, and manual recording of sales transactions. This study uses the System Development Life Cycle (SDLC) approach of the Waterfall model, which includes the stage of system analysis, design, implementation, and testing. The results show that the application of the EOQ method can help companies in determining the number of orders that are economical, reducing storage costs, and improving inventory management efficiency. The developed web-based information system is able to display stock reports in real-time and make it easier for management to make decisions.
Implementing Web Content Accessibility Guidelines for Disability-Friendly Scholarship Websites in Indonesia Poedjadi, Maudy Rizkiana; Lestari, Gita Cahyani; Lisnarini, Naurah; Umar, Muhammad Novsyaroni
PRofesi Humas Vol 10, No 2 (2026): February 2026
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/prh.v10i2.61538

Abstract

Background: The low level of disability education is currently a public concern. One way to improve it is to provide financial assistance in education. Seeing this phenomenon, the ministries established two special scholarships for people with disabilities: the ADik scholarship, administered by the Ministry of Higher Education, Science, and Technology (Kemdiktisaintek), and the LPDP Affirmation Scholarship, administered by the Ministry of Finance (Kemenkeu). These scholarships can be accessed through the websites of both ministries. However, to target these scholarships effectively, the government’s public relations (PR) must ensure the website meets the technological and information needs of people with disabilities. Accommodating this information and technology is a form of good e-government. Purpose: This study aims to evaluate the accessibility of scholarship websites for people with disabilities by analyzing accessibility components using four assessment tools: SiteAnalyzer, AEL Data, Accessibility Cloud, and Silktide Accessibility Checker. It explains how well these government websites comply with Web Content Accessibility Guidelines (WCAG) and whether they adequately support users with disabilities in accessing scholarship information. Result: Based on the analysis of the four tools, neither scholarship website is fully accessible, showing significant WCAG violations. The SiteAnalyzer classified both as “unsafe,” while Silktide found 394 violations on LPDP and 152 on ADik across WCAG Levels A, AA, and AAA. These extensive failures to meet accessibility criteria indicate a deficit in the Digital Public Relations function, specifically in upholding the principles of communication accountability and transparency toward the disability public. Implication: Technology and information that are not properly accommodated compromise the scholarship’s objective and hinder the right to equal access for persons with disabilities. This highlights the urgent necessity for PR professionals to take a strategic role in advocating for and prioritizing comprehensive WCAG implementation to mitigate institutional risk, build trust, and ensure inclusive public service delivery.
Co-Authors Krisna, Dany Yudha Maria Maria Naurah Lisnarini Poedjadi, Maudy Rizkiana Sri Supatmi Umar, Muhammad Novsyaroni