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Journal : JITEK (Jurnal Ilmiah Teknosains)

RANCANG BANGUN SMART APPLICATIONS E-RESTAURANT MANAGEMENT SYSTEM MENGGUNAKAN FRAMEWORK CODEIGNITER Sasmita Sasmita; Inda Anggraini
JITEK (Jurnal Ilmiah Teknosains) Vol 8, No 1/Mei (2022): JiTek
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jitek.v8i1/Mei.11616

Abstract

This study aims to produce a smart application restaurant management system using a codeigniter framework. Problems that can be found at the Lesehan Ridwan shop when a customer wants to place an order, the employee must record the order through paper media and give the note to the kitchen for the cashier to perform calculations using a manual system too, such as using a calculator or using paper media without using computerized altogether, making it difficult for restaurant owners at Warung Alam Lesehan Ridwan to monitor and get sales reports for a certain period. Can make it easier and faster to help manage data at the restaurant. The system development method used in this research is the waterfall method. Smart applications e-restaurant are created using the PHP programming language with the Codeigniter framework. This system is expected to improve the management system of the restaurant. The research results obtained from the feasibility test for the design of smart applications e-restaurant management system using a codeigniter framework, the alpha test results obtained from the feasibility test of the system with an overall value of 3.6 by the expert stated that it was feasible and the results of testing betha obtained a value of 4.2 by the user stated worth using. So that smart applications e-restaurant can be implemented as a medium for ordering food.
PENERAPAN METODE SIMPLE ADDICTIVE WEIGHTING (SAW) UNTUK MENENTUKAN KELAYAKAN PENERIMA BEASISWA KARTU INDONESIA PINTAR (KIP) KULIAH Sasmita Sasmita; Alfis Arif
JITEK (Jurnal Ilmiah Teknosains) Vol 7, No 2/Nov (2021): JiTek
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (915.695 KB) | DOI: 10.26877/jitek.v7i2/Nov.9922

Abstract

AbstractThis review means to deliver a choice emotionally supportive network utilizing the Simple Addicitive Weighting (SAW) technique to decide the qualification of KIP College grant beneficiaries. The foundation of this exploration is that in deciding the beneficiaries of the KIP Lecture grants, STT Pagar Alam actually utilizes the ordinary framework, to be specific planned understudies gather documents and step through different exams, then, at that point, understudy information will be contrasted and the measures individually. Choice emotionally supportive network is a PC based data framework to help people in settling on a choice. The improvement strategy utilized is Waterfall which comprises of examination, plan, coding, testing and upkeep/support. The Simple Addictive Weighting (SAW) strategy will be applied in settling on this choice emotionally supportive network. This strategy was picked on the grounds that this technique decides the weight an incentive for each characteristic, then, at that point, continues with positioning which will choose the best option from various other options. This choice emotionally supportive network was made utilizing the PHP programming language with the codeigniter 3 structure. Testing this framework utilizing discovery testing with a score of 3.6 from master survey and 3.8 from the execution of beta restatement with substantial classifications so a framework for carrying out the Simple Addictive Weighting technique can be delivered. SAW) to decide the qualification of the beneficiaries of the KIP College grants.
PENERAPAN ALGORITMA LINEAR REGRESI PADA SMART APLIKASI E-RESORT MENGGUNAKAN FRAMEWORK CODEIGNITER Sasmita Sasmita; Buhori Muslim
JITEK (Jurnal Ilmiah Teknosains) Vol 8, No 2/Nov (2022): JiTek
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jitek.v8i2/Nov.13643

Abstract

The purpose of this study is to apply linear regression algorithm to smart e-resort applications using a codeigniter framework so that it can run effectively and efficiently. Hotel Pagar Alam is currently still using manual methods, such as distributing brochures, this of course hinders the activities of hotels which are usually crowded and crowded on holidays or other major holidays that require hotels as a means to stay overnight, systems that can speed up the work of the manager and make it easier visitors to access reservation information as well as hotel facilities. By using the system development method Software Defelopment Life Cycle (SDLC) method. This smart e-resort was created using the PHP programming language with the Codeigniter framework and MySQL as the database. Testing of this system uses Black Box Testing with a score of 3.5 and expert review with a score of 4.1 from the implementation of Betha recapitulation in the valid category. Thus the application of the linear regression algorithm in the smart e-resort application using a codeigniter framework can run validly and efficiently
PENERAPAN ALGORITMA K-MEANS CLUSTERING PADA DATA KELUHAN PELANGGAN PT. PLN PERSERO KOTA PAGAR ALAM Sasmita Sasmita; Siti Muntari
JITEK (Jurnal Ilmiah Teknosains) Vol 9, No 1/Mei (2023): JiTek
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jitek.v9i1/Mei.15366

Abstract

In this modern era, all activities and needs of residents are largely influenced by electricity. Electricity is needed because all household appliances use electric power for company needs or residential needs. To improve the service quality of PT. PLN Persero, Pagar Alam City, in order to reduce the number of customer complaints in Pagar Alam City, a data clustering process is needed which is very important because the increase in data is quite significant. The process of grouping data uses K-Means Clustering because this algorithm is suitable for grouping the data. The results of this study are in the form of designing the application of the K-Means Clustering algorithm to customer complaint data at PT.PLN Persero City of Pagar Alam where the cluster is divided into 3, namely C0 as the highest complaint level, C1 for moderate complaint levels and C2 for low complaint levels. The data import process uses rapidminner. From the pattern obtained in rapidminer which is used on the system with the k-means clustering method, it is obtained that cluster_0 has a high complaint rate with a total of 108, cluster_1 has a moderate complaint rate with a total of 75 and cluster_2 has a low complaint rate with a total 45.