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Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education

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IMPLEMENTASI METODE SYSTEM USABILITY SCALE DAN HEURISTIC EVALUATION DALAM EVALUASI APLIKASI SI PAWANG DI KECAMATAN NGAJUM KABUPATEN MALANG Mita Septiana Damayanti; Weda Adistianaya Dewa; Indah Dwi Mumpuni
Jurnal Fakultas Teknologi Informasi Vol 8 No 1 (2025): BIMASAKTI
Publisher : Prodi Teknik Informatika, Fakultas Sains dan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/bimasakti.v8i2.13604

Abstract

The Personnel Information System (SI PAWANG) in Ngajum District was developed to make it easier to manage personnel data digitally. The aim of this research is to assess SI PAWANG using two methods, namely the System Usability Scale (SUS) and Heuristic Evaluation (HE). The SUS method is applied to measure user satisfaction through questionnaires distributed to employees who use the system. The evaluation results show that the SUS score for SI PAWANG is 69.85, which is included in the "C" (fair) category, and is in the "OK" category in the trait assessment. This value shows that the application is marginally acceptable in the acceptance range, with a percent rating in the range of 41 – 59. In addition, the Net Promoter Score (NPS) shows that the user is in the Passive category. DIA evaluation involves expert assessments to identify usability issues based on ten interface design principles. The HE results revealed the presence of several usability issues, with the majority categorized as “Minor Usability Issues,” indicating potential difficulties for users in using the system. Based on the results of the SUS and HE evaluation, improvements are needed in aspects identified as usability problems. The recommendations include improving the user interface, use of navigation, and providing more effective documentation and help to improve the user experience.
MEDIA PEMBELAJARAN RAMBU LALU LINTAS DENGAN MENERAPKAN TEKNOLOGI AUGMENTED REALITY BERBASIS ANDROID Jeffry Sugiarto; Indah Dwi Mumpuni; Ali Syaifulloh
Dinamika Dotcom : Jurnal Pengembangan Manajemen Informatika dan Komputer DINAMIKA DOTCOM Vol. 13 No. 2 Tahun 2022
Publisher : Sekolah Tinggi Manajemen Informatika & Komputer PPKIA Pradya Paramita Malang

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

Abstract

One of the traffic problems that occur is the violation of traffic signs or signs that have increased from year to year. So that the introduction of traffic signs should be done early. Then the merging of interactive quizzes with Augmented Reality (AR) technology can be used as a solution as a learning media application for the introduction of Android-based traffic signs to elementary school students. In this application there is an introduction to traffic signs using AR technology, in addition there is also a quiz menu that contains questions about traffic signs to measure the level of understanding of elementary school students. This application can be run on Android smartphone devices with RAM specifications of 1GB and above and version 4.1 (Jelly Bean) and above. The results of the application testing that has been done at SDN 2 Tirtomoyo Pakis that the application can increase student understanding, as evidenced by the results of the pretest and posttest tests on students experiencing an increase in the average value of understanding from 79.66 to 92.76. This application is also considered interesting and interactive, this can be proven from the criteria tested that the application is easy to use, the application is interesting, understand after using the application and fun / not boring the result is 32% said agree and 61% said strongly agree. So it can be concluded that the Rambutaan application is interesting and interactive.
Optimasi Efisiensi Administrasi Sumber Daya Manusia Melalui Integrasi Human Resource Information System (HRIS) Berbasis Web Fajar Nur Waradana; Indah Dwi Mumpuni; Jauharul Maknunah; Linda Suvi Rahmawati; Andri Prasetyo
Indonesian Journal of Education And Computer Science Vol. 4 No. 2 (2026): INDOTECH - August 2026
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/indotech.v4i2.2226

Abstract

Administrasi Human Resource Development (HRD) pada organisasi dengan jumlah pegawai 25 orang masih banyak dilakukan secara manual menggunakan spreadsheet dan pencatatan presensi terpisah. Proses ini membutuhkan waktu 1 sampai 4 hari untuk pengolahan data presensi dan penggajian, serta rentan terhadap kesalahan input dan keterlambatan pembayaran. Penelitian ini bertujuan mengembangkan aplikasi Human Resource Information System (HRIS) berbasis web yang mengintegrasikan pengelolaan data pegawai, presensi berbasis Face Recognition, pengajuan cuti, penggajian, surat peringatan, serta activity log dalam satu platform. Presensi dilakukan melalui pengenalan wajah menggunakan model FaceNet pada library DeepFace yang terhubung dengan aplikasi utama melalui layanan Flask (Python), dengan presensi manual tersedia sebagai mekanisme cadangan. Sistem dikembangkan menggunakan pendekatan Prototype dalam kerangka Systems Development Life Cycle (SDLC), diimplementasikan dengan Laravel dan MySQL, kemudian diuji menggunakan Black Box Testing pada 24 skenario, seluruhnya valid. Hasil penelitian menunjukkan sistem mampu mengotomatisasi proses administrasi HRD, mempercepat rekapitulasi presensi dari 1–4 hari kerja menjadi kurang dari 1 menit, mempercepat proses pengajuan cuti dari sekitar 7 hari menjadi kurang dari 1 menit, serta mengurangi kesalahan akibat human error. Integrasi HRIS berbasis web dengan presensi Face Recognition ini terbukti meningkatkan efisiensi, akurasi, dan kualitas layanan HRD, sekaligus menjadi referensi praktis bagi organisasi yang akan melakukan digitalisasi administrasi sumber daya manusia
Co-Authors Ali Syaifulloh Andri Prasetyo Fajar Nur Waradana Jauharul Maknunah Jeffry Sugiarto Linda Suvi Rahmawati Mita Septiana Damayanti Weda Adistianaya Dewa