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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Faishal Wafiq Zakiy
Universitas Darunnajah
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Neuroscience Transportation

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Evaluasi User Experience Situs Web Perguruan Tinggi Menggunakan User Experience Questionnaire: Studi Kasus Universitas Darunnajah Faishal Wafiq Zakiy; Supriadi Panggabean; Wahyu Joko Saputro
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 3 (2024): Juni 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i3.7629

Abstract

Abstrak - Penelitian ini bertujuan untuk mengevaluasi tingkat kepuasan pengguna terhadap situs web Universitas Darunnajah (UDN) dengan menggunakan metode User Experience Questionnaire (UEQ) yang meliputi enam dimensi pengalaman pengguna. Data dikumpulkan melalui kuesioner yang disebarkan kepada mahasiswa aktif Universitas Darunnajah serta melalui wawancara dengan staf akademik. Hasil evaluasi menunjukkan bahwa situs web UDN mendapatkan kategori di bawah rata-rata menurut kriteria UEQ. Oleh karena itu, penelitian ini memberikan landasan penting untuk pengembangan situs web yang lebih sesuai dengan kebutuhan pengguna, dengan harapan dapat meningkatkan pengalaman dan kepuasan pengguna dalam menggunakan situs web tersebut. Evaluasi rutin seperti ini sangat diperlukan agar situs web UDN dapat terus memenuhi ekspektasi pengguna dan berkembang sesuai dengan kebutuhan mereka.Kata kunci: User Experience, User Experience Questionnaire, Universitas Darunnajah, Situs web Abstract - This research aims to evaluate user satisfaction with the Universitas Darunnajah (UDN) website using the User Experience Questionnaire (UEQ) method, which encompasses six dimensions of user experience. Data were collected through questionnaires distributed to active students of Universitas Darunnajah and through interviews with academic staff. The evaluation results indicate that the UDN website falls below average according to the UEQ criteria. Therefore, this research provides a critical foundation for developing a website that better meets users' needs, with the hope of enhancing user experience and satisfaction with the website. Routine evaluations like this are essential for ensuring that the UDN website continues to meet user expectations and evolves according to their needs.Keywords: User Experience, User Experience Questionnaire, University of Darunnajah, Website
Darunnajah Vote System Application Design Using PHP Programming Language Panggabean, Supriadi; Wahyu Joko Saputro; Faishal Wafiq Zakiy; Tutik Lestari; Ahmad Rifqi
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 2 (2023): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v13i2.61

Abstract

Voting is the most important part of choosing leaders in an organization or institution, especially for those of us who use a democratic system. The election of organizational leaders in Darunnajah is still carried out conventionally, elections still use paper to select organizational leaders which is carried out by recording and counting the name or picture of one of the candidates. Creating the Darunnajah Vote System in the form of a web application for the election of organizational leaders in the Darunnajah environment can speed up the voting process. The web application is built using PHP and MySQL with features of user management, class management, candidate management, and E-Voting. This study aims to build an e-voting system that is expected to provide voting results quickly, and accurately and can be monitored in real-time during the implementation of the leader election. This system development method uses a web application-based SDLC Waterfall model. Testing using the black box method, every feature contained in the Darunnajah Vote System application, namely the Admin Login feature, User Login, User Voting, and User Data Processing features runs normally and functions properly.
Comparative Study of Naive Bayes Data Mining, Decision Tree C4.5 And Fuzzy Decision Tree (ID3) In Analyzing the Financing of Fitness Center Memberships: Case Study PT Fitindo Sehat Sempurna Wahyu Joko Saputro; Supriadi Panggabean; Faishal Wafiq Zakiy
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 6 (2024): Desember 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i6.8176

Abstract

Abstract - The business world is always experiencing rapid changes, so it requires companies to be able to respond to these changes quickly and precisely. PT. Fitindo Sehat Sempurna as a company engaged in fitness services wants to do data mining to predict the smooth financing of its members and strive to increase sustainable sales turnover. One of the classification algorithms that is often used and gets a lot of attention from researchers in predicting problematic financing is Naive Bayes, Decision Tree C4.5 and then tries to compare it with the Fuzzy Decision Tree (ID3). Of all the trials of the three methods, the best results were obtained, namely Naive Bayes with the highest calculation result of accuracy of 85,00% and AUC = 0,960 as the best results. This test uses 80 training data and 20 testing data.Keywords: Financing, Membership, ID3, Fuzzy, Decision Tree, C4.5, Naive Bayes. Abstrak - Dunia bisnis selalu mengalami perubahan yang cepat, sehingga menuntut perusahaan untuk dapat merespon perubahan tersebut dengan cepat dan tepat. PT. Fitindo Sehat Sempurna sebagai perusahaan yang bergerak di bidang jasa kebugaran ingin melakukan data mining untuk memprediksi kelancaran pembiayaan para anggotanya dan berupaya untuk meningkatkan omset penjualan yang berkelanjutan. Salah satu algoritma klasifikasi yang sering digunakan dan mendapat banyak perhatian dari para peneliti dalam memprediksi pembiayaan bermasalah adalah Naive Bayes, Decision Tree C4.5 dan kemudian mencoba membandingkannya dengan Fuzzy Decision Tree (ID3). Dari semua uji coba ketiga metode tersebut, didapatkan hasil terbaik yaitu Naive Bayes dengan hasil perhitungan akurasi tertinggi yaitu 85,00% dan AUC = 0,960 sebagai hasil terbaik. Pengujian ini menggunakan 80 data training dan 20 data testing.Kata kunci: Pembiayaan, Keanggotaan, ID3, Fuzzy, Decision Tree, C4.5, Naive Bayes
Co-Authors Ahmad Rifqi Panggabean, Supriadi Tutik Lestari Wahyu Joko Saputro Wahyu Joko Saputro