Abstract
Reporting and collecting data on inventory tools using the old method does not rule out the possibility of data reporting errors and determining priorities for procurement of laboratory inventory at SMK Negeri 1 Doko. The development of increasingly advanced technology requires computerized inventory data collection, which is expected to reduce paper use, so that checking inventory conditions can be easy and efficient. To make it easier to determine the procurement of inventory, a system is needed that can make it easier to determine the priority of inventory procurement and is expected to help problems in MK Negeri 1 Doko. Therefore, research will be carried out with the aim of making it easier to monitor and determine priorities for laboratory inventory procurement. This research is a development research using the waterfall method using the AHP algorithm for system development. The results showed that the results obtained from testing the AHP calculation manually or using the application obtained that there were several values that had a difference of 0.000001 the consistency ratio showed less than 10%. It could be concluded that the AHP calculation was still acceptable. BlackBox testing and beta testing the user satisfaction level of 88.25% indicates that the monitoring application system built is acceptable and can run according to its function.
Highlights
Abtrak-Pelaporan dan pendataan alat inventaris yang menggunkan cara lama tidak menutup kemungkinan terjadi kesalahan pelaporan data dan menentukan prioritas pengadaan inventaris laboratorium di SMK Negeri 1 Doko
The results showed that the results obtained from testing the Analytical Hierarchy Process (AHP) calculation manually or using the application obtained that there were several values that had a difference of 0.000001 the consistency ratio showed less than 10%
Kinerja Sustainable Distribution Berbasis Model Scor Pada Industri Penyamakan Kulit. eProceedings of Engineering, 5(3), 6750–6757
Summary
Dari hasil pengujian perhitungan AHP secara manual mupun menggunakan aplikasi dapat disimpulkan bahwa ada bebrapa nilai yang memilik selisih 0,000001 meliputi nilai perhitungan manual (0,271797696 dan 0,11179162) pada perhitungan aplikasi yang bernilai (0,271798 dan 0,111792). Pada perhitungan manual belum di bulatkan menjadi enam angka di belakang koma (nilai asli), sedangkan pada perhitungan aplikasi nilai nya sudah dibulatkan menjadi enam angka di belakang koma. Nilai konsistensi yang diharapkan yaitu mendekati sempurna agar menghasilkan keputusan yang mendekati valid, rasio konsistensi diharapkan kurang dari atau sama dengan 10 %. Sehingga dapat disimpulkan bahwa perhitungan manual maupun aplikasi memiliki selisih nilai yang normal dan bisa diterima[1]. Pengujian Black Box. Berikut ini tabel pengujian form login menggunkan pengujian Black Box
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