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Seleksi Penerimaan Bantuan Internet Gratis dengan Menggunakan Metode AHP Tukino Paryono; Muhamad Rizky Arfani; Agustia Hananto; Baenil Huda
INTERNAL (Information System Journal) Vol. 6 No. 1 (2023)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The internet is an information technology that is able to provide benefits for life and is a major requirement as a means of communication, entertainment or business. Covid 19 spreads throughout the City or Regency to villages in all regions in Indonesia which has a broad impact on the world of Education, especially Elementary and Middle School Education. Seeing the change in learning patterns from face-to-face to online learning, there are obstacles that are felt by students, especially in learning that requires the teaching and learning process between teachers and students to be carried out remotely (online). To support online learning, adequate internet facilities are needed. Provision of internet packages can be provided free of charge with due observance of predetermined requirements. To support the provision of free internet packages, a decision support system is needed to determine the selection of receiving free internet assistance so that it is right on target by using the Analytical Hierarchy Process (AHP) solving procedure. This method is used to make rankings for selecting free internet recipients, where the highest score is generated based on the best criteria. The results of calculations with this method. Where to make a decision support system in order to prevent errors in determining the criteria that deserve free internet assistance.
Penerapan Software Testing Life Cycle Pada Pengujian Otomatisasi Platform Dzikra Ruliansyah Ruliansyah; Tukino; Baenil Huda; April Lia Hananto
Computer Science Research and Its Development Journal Vol. 15 No. 1: February 2023
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.15.1.2023.01-11

Abstract

PT Bejana Investidata Globalindo (BIGIO), as an IT consultant and software development company, develops an in-house product called Dzikra which is a platform to help users build good habits in worship. In order to develop this system, the company requires a daily worship content management system known as the Dzikra web admin. The Software Development Life Cycle (SDLC) has several stages, one of the important stages is the testing stage which has the goal of evaluating whether the software has been created in accordance with the specifications and detects bugs or errors. Black box testing automation with Robot Framework can provide good testing documentation and can reduce human errors during the testing process. The implementation of the Software Testing Life Cycle (STLC) in the testing process can also make the testing flow more structured and provide a better focus on each testing stage. The results of the testing show that of the six features tested, they have run as expected. It is hoped that this research will provide support to PT Bejana Investidata Globalindo (BIGIO) in automating software testing process.
Analisis Sentimen User Experience Menggunakan Naive Bayes dan Design Thinking pada Aplikasi SIPT Muhamad Helmi Fauzi; Baenil Huda; Elfina Novalia
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 9 No. 2 (2025): Volume 9 Nomor 2 April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v9i2.14712

Abstract

Sistem Informasi Perguruan Tinggi Universitas Buana Perjuangan Karawang (SIPT UBP Karawang) merupakan aplikasi yang dirancang untuk mempermudah mahasiswa dalam mengelola administrasi akademik, seperti melihat nilai, pembayaran UKT, dan informasi perkuliahan. Berdasarkan pengalaman pengguna ditemukan permasalahan pada tampilan antarmuka, khususnya halaman dashboard yang dinilai kurang intuitif. Penelitian ini bertujuan untuk menganalisis sentimen pengguna terhadap aplikasi SIPT UBP Karawang menggunakan algoritma Naive Bayes, serta merancang solusi perbaikan antarmuka dengan pendekatan Design Thinking. Data yang dikumpulkan sebanyak 502 komentar pengguna aplikasi, setelah tahap preprocessing menjadi 406 data set komentar aplikasi. Hasil dari klasifikasi sentimen terdapat 236 sentimen positif dan 170 sentimen negatif. Visualisasi WordCloud pada komentar negatif menunjukan kata “dashboard” paling sering muncul, mengindikasikan titik masalah utama pada antarmuka. Proses klasifikasi menggunakan algoritma Naive Bayes menghasilkan akurasi sebesar 0.89% . Tampilan antarmuka didesain ulang agar lebih ramah pengguna menggunakan metode Design Thinking. Pengujian dilakukan menggunakan instrumen System Usability Scale (SUS), dan teknik Usability Testing. Skor rata-rata yang diperoleh adalah 81, jadi termasuk nilai A atau predikat sangat bagus. Penelitian ini menunjukkan bahwa hasil klasifikasi sentimen dengan metode Naive Bayes dan pendekatan Design Thinking efektif dalam melakukan identifikasi masalah dan menghasilkan solusi desain yang meningkatkan kepuasan pengguna terhadap aplikasi SIPT UBP Karawang.