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Journal : SMATIKA

Analisis Perancangan Pemesanan Makanan Menggunakan Smartphone Berbasis Android Rini Agustina; Dodit Suprianto; Ikhwanul Muslimin
SMATIKA JURNAL Vol 7 No 02 (2017): Smatika Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1216.722 KB) | DOI: 10.32664/smatika.v7i02.154

Abstract

Perkembangan teknologi informasi dan komunikasi seperti Smartphone saat ini tidak dapat kita hindari. Dampak positif dari perkembangan teknologi informasi dan komunikasi mempermudah dan mempercepat akses informasi yang kita butuhkan serta mempermudah transaksi perusahaan atau perseorangan untuk kepentingan bisnis. Perkembangan Smartphone saat ini banyak di manfaatkan oleh para pelaku bisnis dalam mempermudah menjalankan bisnisnya. Contohnya bisnis obat, perhiasan, baju, sepatu, kuliner dll. Lebih khususnya dalam bidang bisnis kuliner, antara lain restoran, rumah makan dan café. Teknologi smartphone android dikembangkan untuk melakukan pemesanan makanan di sebuah cafe. Implementasi aplikasi ini kemudian dianalisis mengenai kemanfaatan dan efektifitasnya terhadap pelayanan pemesanan konsumen. Analisis yang digunakan adalah Skala Likert. Skala Likert lebih mudah dibuat dan mempunyai reliabilitas yang relatif tinggi. Berdasarkan hasil analisis implementasi pemesanan menu menggunakan smartphone berbasis android dapat memberikan pelayanan secara cepat serta efisien, hal ini dapat diketahui melalui prosentase hasil dari kuesioner yang telah diberikan kepada pengunjung yang menunjukkan bahawa hampir 86,2% mengatakan sangat setuju menggunakan aplikasi ini untuk melakukan pemesanan menu.
Implementasi Metode Profile Matching Pada Sistem Pendukung Keputusan Pemilihan Penerima Bantuan Langsung Tunai di Desa Pondo Kecamatan Lembor Emiliana Indra Rati; Rini Agustina
SMATIKA JURNAL Vol 12 No 01 (2022): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v12i01.671

Abstract

The direct cash assistance program (DCA) by the government is intended to provide concrete efforts to recover the economy of the underprivileged. In fact, several technical problems in the field led to confusion in the determination of BLT targets. In Pondo village, there was an inaccurate targeting process due to: (1) kinship ties between village officials and the community; (2) does not have a clear standard of criteria to determine beneficiaries. This study aims to encourage efforts to build a decision support system that can solve current problems by implementing the profile matching method to determine recipients of direct cash assistance based on ranking so that data accuracy for DCA Program recipients occurs. The research method used is the waterfall method, data analysis uses the calculation steps of the profile matching method. The results showed that the system that was built had helped the process of calculating the assessment for the selection of DCA Program recipients with an average UAT of 99.5%. This shows that the profile matching method used is in accordance with the design that has been made. It can be concluded that the use of profile matching method is very effective in determining the target of DCA Program recipients. This research can be a reference for the village government to use the decision support system that has been built so that the main target of the DCA Program is in accordance with the provisions that have been set.