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Rancangan Aplikasi E-Payment Restoran Sop Duren 97 berbasis Web dengan Implementasi Algoritma FCFS menggunakan React JS dan PostgresSQL Ihsan, Muhammad; Riyadi, Agung Slamet; Wardhani, Ire Puspa
Jurnal Ilmu Teknik dan Komputer Vol 8, No 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jitkom.v8i1.002

Abstract

Perkembangan teknologi informasi telah mengubah cara berinteraksi dan bertransaksi dalam bisnis, termasuk melalui platform online atau e-commerce. Banyak restoran masih menerapkan sistem pelayanan konvensional, yang dapat menimbulkan kendala saat pelanggan memesan makanan secara langsung. Hal ini berpotensi membuat pelayan menjadi kelelahan dan menghadapi kesulitan dalam pelayanan. Sebagai solusi, banyak bisnis restoran mengadopsi penggunaan QR Code untuk memesan makanan dan memfasilitasi pembayaran. Dalam konteks ini, penelitian ini bertujuan untuk mengimplementasikan aplikasi web E-Duren di Restoran Sop Duren 97 dengan mengintegrasikan teknologi payment gateway midtrans untuk memproses pembayaran. Sistem pesanan akan diatur menggunakan algoritma First Come First Serve (FCFS) guna meningkatkan efisiensi pelayanan dan memodernisasi pelayanan di restoran yang masih menggunakan metode konvensional. Hasil pengujian dari User Acceptance Test (UAT) dengan sampel 30 orang menunjukkan indeks persentase sebesar 83,1%, dengan kesimpulan bahwa aplikasi website E-Duren sudah berjalan lancar dan sesuai dengan kepuasan pengguna. Ujicoba aplikasi dengan blackbox testing untuk menguji fungsionalitas aplikasi untuk menunjukkan bahwa semua fungsi aplikasi telah berjalan lancar.
Penerapan Metode Weighted Sum Model (WSM) dan Klasifikasi Komentar pada Sistem Pendukung Keputusan Aplikasi MyPertamina Menggunakan Metode Random Forest Riyadi, Agung Slamet; Alfarzi, Puja Rahayu; Wardhani, Ire Puspa Wardhani
Jurnal Ilmiah Komputasi Vol. 24 No. 3 (2025): Jurnal Ilmiah Komputasi : Vol. 24 No 3, September 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.24.3.3886

Abstract

The development of a comment application system from Google Play Store users as a source of information forapplication developers in evaluating and improving applications from the findings of weaknesses or deficiencies.One such application is the MyPertamina application as a digital platform used by the public in making transactionsto buy fuel or other services from Pertamina. The purpose of this study is to build a Decision Support System(DSS) to be able to classify application user comments by maximizing the Random Forest algorithm, and providealternative assessments by applying the Weighted Sum Model (WSM) method based on certain criteria. The firststage collects various comments from MyPertamina application users, then the second stage carries out text preprocessing namely normalization, tokenization, stopword removal, and stemming. The third stage classifies intothree sentiment categories, namely positive, neutral, and negative using the Random Forest algorithm. After theclassification results are known, the fourth stage continues, namely applying the WSM method to assess or createa priority scale as an alternative decision, for example starting with improving features in the application or userareas that are most affected or impacted based on weighted criteria determined from the number of negativecomments, satisfaction levels and urgency of the issue. The testing conducted with the Random Forest2classification model yielded an accuracy value of 86%. Furthermore, the dashboard visualization showed that theinaccurate data category had the highest average value of 0.11. The WSM method was shown to be more effectivein providing recommendations for prioritizing decision-making in a systematic and measurable manner. Thedevelopment of this system is expected to help MyPertamina application developers evaluate user feedback moreefficiently and objectively. The usefulness of this research for the company is that the company can understanduser perceptions and will continue to improve service quality, which impacts user satisfaction. Based on the resultsof this research, the system can classify comments automatically by implementing the Random Forest Algorithm,which is capable of providing good performance with an accuracy of > 80%. Management can use this system asa basis for decision-making for the development of the MyPertamina application, and application developers canbetter understand user perceptions automatically and make strategic decisions by processing user commentdatabases.
Program Pendidikan Ilmu Teknologi Informasi dan Pelatihan Komputer ”Pemanfaatan Media Online Dalam Pemasaran” Untuk Peserta Didik Divisi Pendidikan Publik Lembaga AgenKultur Kp Babakan Ds Binong, Karawaci, Tangerang, Banten Lamsani, Missa; Mujahidin, Maulana; Sardjono, Mochamad Wisuda; Arianty, Rini; Chodijah, Siti; Ratih, Sri Wulan Windu; Riyadi, Agung Slamet; Yapie, Any Kurniawaty; Susetianingtias, Diana Tri; Wahyuni, Diny
Jurnal Pengabdian Kepada Masyarakat Darma Saskara Vol. 5 No. 2 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/abdimasug.2025.v5i2.211

Abstract

Pelaksanaan Pengabdian kepada Masyarakat merupakan salah satu bentuk nyata dari penerapan Tri Dharma Perguruan Tinggi. Dalam kegiatan ini, Universitas Gunadarma menjalin kerja sama dengan Yayasan AgenKultur, sebuah lembaga independen yang bergerak di bidang sosial, budaya, dan pendidikan, di mana PKBM Tan Malaka menjadi divisi yang berfokus pada layanan pendidikan. Kolaborasi tersebut diwujudkan melalui pemberian pelatihan komputer dan ekonomi kepada peserta didik program Paket B dan C di yayasan tersebut. Mengingat pentingnya penguasaan teknologi informasi pada masa sekarang, materi pelatihan yang diberikan diarahkan pada pengenalan dan pemanfaatan internet untuk kegiatan pemasaran digital. Selain pelatihan teknis, Universitas Gunadarma juga menyelenggarakan Kuliah Umum secara daring untuk menambah wawasan para siswa mengenai perkembangan teknologi informasi, khususnya dalam bidang ilmu komputer dan penerapannya di bidang ekonomi. Seluruh kegiatan ini bertujuan untuk meningkatkan pengetahuan dan keterampilan digital para siswa di PKBM Tan Malaka sehingga mereka memiliki bekal yang lebih baik dalam menghadapi kebutuhan pembelajaran dan dunia kerja. One of the ways to actualize the Tri Dharma of Higher Education is through community service activities, and this initiative is reflected in the collaboration between Gunadarma University and the AgenKultur Foundation, an independent organization focusing on social, cultural, and educational development. Within this foundation, PKBM Tan Malaka serves as the main educational unit. Through this partnership, training sessions in computer science and basic economics were provided for students enrolled in Package B and C programs. Given the increasing reliance on digital technology today, the training modules emphasized the introduction and practical use of the internet as a tool for digital marketing. In addition to technical training, Gunadarma University also offered an online Public Lecture designed to give students insight into the latest trends in information technology, particularly within computer science and its relevance to economic activities. The overall goal of this community service program was to enhance the digital literacy and practical IT skills of students at the AgenKultur Foundation.