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Sistem Pakar Diagnosa Penyakit Pada Ibu Hamil Menggunakan Metode Forward Chaining Sundari, Jenie; Wulandari, Siti; Budiarti, Yusnia; Nainggolan, Esron Rikardo
J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i1.838

Abstract

Pregnant women can be attacked by pregnancy disease, the disease can be known from the symptoms it causes, however, to find out exactly what disease is suffered by pregnant women, an expert or obstetrician is needed. In this study a website-based expert system was designed using basic rules with the forward chaining inference method aimed at helping pregnant women in diagnosing pregnancy diseases early on. This expert system is capable of diagnosing diseases suffered by pregnant women in accordance with the symptom questions posed to be answered by pregnant women, will display the results of the diagnosis, details about the disease and how the disease is treated.
Implementation of Interior Design Project Monitoring Application using Appsheet Achmad Galih Prasetyo; Yusnia Budiarti
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 2 (2025): Juli
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/hfmd6y81

Abstract

To achieve project success, careful and continuous monitoring of progress, resources, and potential risks is essential in this context. A real-time application-based project monitoring system has been developed and implemented. This system is designed to provide comprehensive project visibility, making it easier for staff to monitor task progress, resource utilization, and proactively identify potential problems. With an intuitive, responsive, and communicative application interface, it makes performance more efficient between office staff and field teams. The results of this study prove that this application system is a very valuable tool for ensuring that projects are completed on schedule and within budget at PT. Generasi General Contractor. The project monitoring application with the waterfall method is a very classic method and its main characteristic is a linear and structured workflow. Where each stage must be completed before moving on to the next stage without the opportunity to return to the previous stage. This method is very suitable to be developed into a project monitoring application. And the results of usability testing using the single ease question (SEQ) method were tested with 10 questions selected based on experience in using the application. The results of the Usability testing from each staff showed a positive response with an average SEQ score of 5.31. Proving that the project monitoring application helps in reducing the problems that exist at PT. Generasi General Contractor.
Analisis Usability Testing Aplikasi Stock Opname Menggunakan Metode System Usability Scale Fajar, Muhammad Sayyid; Budiarti, Yusnia
Jurnal Ilmiah FIFO Vol 17, No 1 (2025)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2025.v17i1.004

Abstract

PT. Lancar Wiguna Sejahtera adalah salah satu perusahaan ritel besar yang biasa disebut Lawson menggunakan aplikasi stock opname dalam membantu perusahaan dalam melakukan pemantauan stok barang secara efisien dan akurat. Ada beberapa masalah yang ditemukan dalam penelitian ini, terutama pada masalah usability atau kemudahan penggunaan aplikasi stock opname, masalah produktivitas karyawan yang disebabkan oleh desain yang kurang user-friendly, serta minimnya akurasi dalam penginputan data stok. Tujuan penelitian ini adalah menganalisis tingkat usability, mengidentifikasi masalah usability, dan memberikan rekomendasi perbaikan bila perlu untuk meningkatkan usability aplikasi. System Usability Scale (SUS) adalah metode yang digunakan dalam penelitian ini dan mendapatkan skor SUS sebesar 74,69. Berdasarkan hasil analisis berada pada percentile rank 71%, mendapatkan grade B, berada pada skala adjective "Good", dan termasuk dalam tingkat penerimaan yang acceptable. Pada skala NPS, aplikasi ini termasuk kategori pasif, di mana pengguna cenderung tidak merekomendasikan aplikasi ini kepada orang lain, namun tetap menggunakannya secara pribadi dalam lingkungan perusahaan. Dari hasil analisis skor SUS yang masih diatas standar sehingga tidak dilakukan desain ulang dan menyarankan untuk penelitian kedepannya dapat dilakukan dengan metode lain yang bisa menambahkan skor SUS agar aplikasi bisa lebih baik dan berkembang dari sebelumnya.