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All Journal Journal of Information Technology Ampera
Fithri Selva Jumeilah
UIN Raden Fatah Palembang
Computer Science & IT

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Sistem Informasi Customer Relationship Management Pada Hotel Grand Malaka Ethical Palembang Berbasis Web Mutia Rizky Pratiwi; Fithri Selva Jumeilah; Fathiyah Noprian
Journal of Information Technology Ampera Vol. 1 No. 2 (2020): Journal of Information Technology Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalita.volume1.isssue2.year2020.page61-74

Abstract

Grand Malaka Ethical is a sharia hotel located in Palembang City with a three-star classification, located on Jalan Malaka II No.5. With the rapid development of technology today, many hotel booking applications that provide star-rated hotels with cheap and good prices make Hotel Grand Malaka must compete with other hotels in order not to be left behind. Grand Malaka Ethical Hotel still uses minimal applications and recently hotel visitors continue to decline. This study aims to create a web-based Customer Relationship Management Information System using the Prototype system development method. This research has produced a Web-based Customer Relationship Management Information System at the Grand Malaka Ethical Palembang Hotel that has been tested and will be implemented by the hotel in 2021.
Algoritma K-Nearest Neighbor Untuk Menentukan Kelayakan Keluarga Penerima Bantuan Pangan Non Tunai (Studi Kasus : Kelurahan Karya Jaya) Sastri Yani; Fithri Selva Jumeilah; Muhamad Kadafi
Journal of Information Technology Ampera Vol. 1 No. 2 (2020): Journal of Information Technology Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalita.volume1.isssue2.year2020.page75-87

Abstract

Non-cash Food Assistance (BPNT) is food social assistance in the form of non-cash. In its implementation, this program still encounters a number of obstacles, one of which is in the sub-optimal distribution of aid in several regions, including Karya Jaya Village. This is because the Ministry of Social Affairs is not optimal in determining BPNT recipients. One way to solve this problem is by utilizing one of the data mining concepts, namely the classification technique with the K-Nearest Neighbor algorithm. Where KPM data previously only accumulated can be used as useful information, one of which is to predict the eligibility of BPNT recipients in the next period. The results of this research are in the form of information on the results of predictions of appropriate KPM as BPNT recipients in 2021 and Local Environmental Units (SLS) which are the most receiving regions. This information can be used as evaluation material for the Ministry of Social Affairs in determining the more targeted BPNT recipients. The prediction results of BPNT recipients in Karya Jaya Village in 2021 are 511 recipients with an accuracy rate of 75.79%, 76.17% Precision, 89.24% Recall, and 82.19% F-measure. And it can be seen that the most BPNT recipient categories are in SLS RW 005, namely 74 recipients. Where there are variables that most influence, namely sta_kis
Co-Authors Fathiyah Noprian Muhamad Kadafi, Muhamad Mutia Rizky Pratiwi Sastri Yani