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Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB
Published by Universitas Pelita Bangsa
ISSN : 24073903     EISSN : 28291891     DOI : https://doi.org/10.37366/sigma.v16i1
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB merupakan jurnal ilmiah yang diterbitkan oleh Program Studi Teknik Informatika Universitas Pelita Bangsa (UPB) Cikarang dengan no p-ISSN 2407-3903 (Media Cetak). Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB adalah sebagai salah satu wadah publikasi bagi dosen-dosen yang memiliki penelitian ilmiah di bidang Teknik Informatika, Ilmu Komputer, Sistim Informasi, Artificial Inteligent, Data Mining, Image Processing, Rekayasa Perangkat Lunak. Setiap artikel yang diterbitkan oleh Jurnal Ilmiah SIGMA: Informatics Engineering of UPB telah melalui proses review dan editorial yang ketat serta menghormati ketentuan hukum hak cipta, privasi, dan etika publikasi ilmiah. Jurnal Ilmiah SIGMA : Information Technology Journal of UPB terbit dua kali dalam setahun, yaitu bulan Maret, Juni, September dan Desember.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 10 Documents
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Search results for , issue "Vol 11 No 1 (2020): Desember 2020" : 10 Documents clear
Sistem Pendukung Keputusan Penentuan Status Karyawan Menggunakan Metode Naive Bayes (Studi Kasus: PT. Emsonic Indonesia) Andri Firmansyah; Feri Ramdhani
Jurnal SIGMA Vol 11 No 1 (2020): Desember 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Abstract In this study formulated the problem of how to implement the naïve Bayes method in determining employee status decisions, so as to accelerate and facilitate decision making in determining the status of interns to become contract employees at PT EMSONIC INDONESIA. This study aims to predict the eligibility of an intern to become a contract employee. The naïve Bayes method uses employee criteria as training data and calculates the data to get the probability value so that the probability value can predict the outcome of the decision whether an employee is eligible or not to change his status. In building a decision support system to determine employee status, Visual Studio 2010 is used, and also uses MySql as a database to store the data used. Application of decision support systems using the Naive Bayes method can be a reference in determining employee status. The results of the decision support system using the naïve Bayes method are proven to be able to predict accurately the eligibility of employee status, with an accuracy value of 89.5%. Keywords: decision support system, naïve bayes, visual studio, MySql
Klasifikasi Penjualan Makanan Cepat Saji Menggunakan Metode Algoritma C4.5 (Studi Kasus : Ayam Penyet Nabila) Asep Muhidin
Jurnal SIGMA Vol 11 No 1 (2020): Desember 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The availability of sales data at the Ayam Penyet Nabila outlet is not used as much as possible, so that the sales data is not utilized maximally to find out what foods are most preferred by consumers or best-selling. The purpose of this research is to apply the C4.5 Algorithm method at the Penyet Nabila Chicken outlet and hopefully it can produce a knowledge in the form of a classification of food sales which is most preferred by many customers from existing datasets (in demand and in demand). The method used to classify food sales is C4.5 Algorithm, the process uses the five-step rule in KDD (Knowledge Discovery in Databases), which includes several activities namely selection, preprocessing, transformation, data mining, interpretation and evaluation. Besides making calculations in the form of a manual, I also tested this research using the RapidMiner tool. From the research output looking for decision tree results using the C4.5 Algorithm method the entrophy value is generated and for the highest gain value is 0.463363648 on the Sold Amount attribute in manual calculations. Whereas using the RapidMiner tool generated a decision tree as shown in Figure 4.3 Amount Sold - Price - Menu Name. The results of this study are the best-selling sales of Penyet Chicken, Grilled Chicken, Serundeng Chicken. Research using the C4.5 Algorithm method with the RapidMiner tool has an accuracy value of 86.40%, precision 86.29%, recall of 90.53%. Keywords: C4.5 Algorithm, Data Mining, RapidMiner, Classification.
Clustering Data Mining Algoritma K-Means Dalam Pengolahan Nilai Pat Pada Mata Pelajaran Bahasa Inggris, Bahasa Indonesia Dan Matematika Dengan Pembelajaran Virtual Learning (Studi Kasus Siswa Kelas XI SMA AL Maghfirah Telajung Bekasi) Sudirman Sudirman
Jurnal SIGMA Vol 11 No 1 (2020): Desember 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

This research was motivated by problems regarding the PAT (year-end assessment) scores in the subjects of English, Indonesian and Mathematics for class XI students of SMA Al Maghfirah Telajung Cikarang Barat Bekasi which have not been grouped. This study aims to determine the results of using k-means algorithm data mining clustering in processing PAT (Year-End Assessment) data on English, Indonesian and Mathematics subjects with virtual learning in class XI SMA AL Maghfirah Telajung Bekasi. The subjects of this study were 37 students of PAT (year-end assessment) grade XI SMA Al Maghfirah data. The data clustering technique uses the k-means algorithm clustering method through the Rapidminer Studio software. The results showed that this method can classify the PAT value data (year-end assessment) based on the distance between the data. The results of data grouping are as follows: cluster 0 (low) of 18 students and cluster 1 (high) of 19 students. From this research it can be concluded that the data clustering technique using the k-means algorithm clustering method through the Rapidminer Studio application can be said to be successful in clustering PAT value data (year-end assessment) at SMA Al Maghfirah Telajung Cikarang Jawa Barat Keywords: PAT Value, Clustering, K-Means and Rapidminer Studio
Penerapan Data Mining Untuk Klasifikasi Pandemi Covid-19 Di Indonesia Dengan Algoritma Naïve Bayes Ermanto Ermanto
Jurnal SIGMA Vol 11 No 1 (2020): Desember 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Coronavirus is a group of viruses that can cause disease in animals or humans. Several types of corona viruses are known to cause respiratory infections in humans ranging from cold coughs to more serious ones such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). This increased accuracy can facilitate decision making and efforts to provide information and knowledge for the prevention of people who want to carry out activities in the province so that we can prevent earlier and not be exposed by covid-19 and we can predict that one month the case will increase affected by covid-19. In testing the covid-19 data with the Naïve Bayes algorithm, this study can be tested by predicting attributes that have 7 attributes and the test shows that the naïve Bayes algorithm can classify a covid-19 data in producing a 0.910 probability level which is where the results are quite good then 700 training tests were performed and 300 testing data produced the most optimal which had an Accuracy value of 100.00%, Precision 100.00% and Recall 100.00%. Keywords: Corona Virus, Covid-19, Classification, Naive Bayes, Data Mining
Sistem Informasi Penjualan Sembako Pada Toko Srimukti Pasar Serang Kecamatan Serang Baru Berbasis Android Muhamad Fatchan
Jurnal SIGMA Vol 11 No 1 (2020): Desember 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Grocery store is one of the businesses engaged in the economy, which is currently still using a conventional system. In this research, the problem that often occurs about how to implement android-based groceries sales is formulated so that promotions and groceries sales transactions at Srimukti Stores become more secure and accurate. While the purpose of this research is to design an interface, the sales system uses PHP, the database uses MYSQL and the software uses Android Studio. The data obtained is then analyzed and illustrated using the object-oriented waterfall method such as UML (Unified Modeling Language). The result of making this application is that with the android-based basic food sales system the customer does not need to come to the store, customers can directly input and check stock information and prices of updated goods via an android smartphone, by opening the Srimukti Toko basic food sales application and then selecting the main menu for input ordering . The sale of basic food at Srimukti Shop makes it easy for the admin as the shop owner or customer to find out the price of the update.. Keywords : Information Systems, Waterfall Methods, PHP, MySQL.
Sistem Informasi Data Warehouse Penjualan Hasil Tambak Berbasis Website Pada CV. Alam Jaya Ismasari Nawangsih
Jurnal SIGMA Vol 11 No 1 (2020): Desember 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Business opportunities in the fishing industry have very promising opportunities because the food needs of the world community continue to increase from year to year. CV. Alam Jaya, which is engaged in the aquaculture industry in running its business, has not been computerized so that it often has problems in running its business such as filing company data that has not been properly organized which results in frequent redundancies, inconsistency in data and the length of the process in making purchase and sales reports. The Action Research method is used in this study as a guide in designing a website-based information system that can minimize errors that often occur, speed up work time and make it easier for company owners to manage company operational data. Keywords : Database, business, fisheries
Analisis Pemilihan Jurusan Siswa Dengan Metode Klasifikasi Algoritma C5.0 (Studi Kasus : SMK Ma’arif Nu Al – Mawardi Bekasi) Aswan S Sunge
Jurnal SIGMA Vol 11 No 1 (2020): Desember 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The study, entitled "Analysis of the Selection of Student Majors with the C5.0 Algorithm Classification Method (Case Study: SMK Ma'arif NU Al - Mawardi Bekasi)" aims to find out information on student majors viewed based on the criteria set by the school using the classification algorithm C5.0 with a decision tree method. The data used in this study were 115 data of students belonging to SMP, with the testing process using Rapid Miner 9.7. Based on the test results of research in predicting majors in junior high school students, from the research using the C5.0 algorithm or decision tree method, the dominant pattern and factor in selecting student majors was obtained, namely based on the value of interest with an accuracy level of 95.65%. So it can be concluded that analyzing the majors of junior high school students at SMK Ma'arif NU Al-Mawardi Bekasi using the C5.0 algorithm classification technique with the decision tree method is considered successful. Keywords : Focusing, SMK, Classification, Algorithm C5.0.
Implementasi Nodemcu ESP8266 Untuk Penghematan Energi Listrik Studi Kasus Di Kontrakan Dr. Alik U. Darmanto Soer
Jurnal SIGMA Vol 11 No 1 (2020): Desember 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The widely proposed technological model of increasing savings in electrical energy at overuse is an interesting topic for many studies because of the effects of excess electricity usage itself. And the technology model applied is a smart home for this problem, using a microcontroller for automatic devices using a motion sensor, namely a PIR (passive infrared) sensor for controlling lights in a room. With this method can reduce and save the cost of using lamps in vain from forgetting to turn off the lights. And the device will turn on the light when it detects movement and will turn off the light when it doesn't detect any movement. by using the Kwh cost calculation algorithm, we will find out the costs to be paid from the number of times the lights are on. The test results show that this device can work well according to the design with a success rate of 100%.. Keywords: NodeMCU, Smart Home, Remote Relay, Sensor PIR
Sistem Informasi Helpdesk Berbasis Web Menggunakan Metode Prototype Pada PT. Denso Manufacturing Indonesia Elkin Rilvani
Jurnal SIGMA Vol 11 No 1 (2020): Desember 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

In manufacturing companies, currently, information systems are needed to support all activities within the company to smoothen the business process, in order to work IT users still use paper media to carry out work orders so that problems with users are not handled quickly by the IT team. The existence of a Helpdesk information system at PT Denso Manufacturing Indonesia to assist users in requesting problems that occur in hardware, software and networks on their computers so that problems can be resolved quickly by the IT team and this Helpdesk information system also helps the IT team in solving problems that often occur can be minimized with solutions that have been experienced before. The method used in the helpdesk information system at PT Denso Manufacturing Indonesia is using the prototype method where this method is very helpful for the IT team in developing a Helpdesk information system. The results of this study are the implementation of the helpdesk information system so that it can be used by all employees at PT Denso Manufacturing Indonesia who use computers to do work so that they are easy to request problems that occur on their computers. With this Helpdesk information system, all problems can be seen directly through this system, do not have to be calculated manually and can help the work of the head of the IT sector in making decisions, from the exported data it can describe problems related to network connections, software damage, hardware damage so that it can see the extent of the problems handled by the Helpdesk Support team at PT Denso Manufacturing Indonesia. Keywords: Helpdesk System, Web, Denso Helpdesk
Aplikasi Sistem Inventory Dengan Menggunakan Bahasa Pemrograman Mobile Pada CV. Multi Citra Kimia Cikarang (Studi Kasus CV. Multi Citra Kimia) Sufajar Butsianto
Jurnal SIGMA Vol 11 No 1 (2020): Desember 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The warehouse section of CV. Multi Citra Kimia sometimes has an error in conveying information about incoming data, outgoing goods and stock items because the data recording of goods is still using the manual method by writing in a notebook, ofcourse this method is less effective. Therefore, an application is needed to find out what items have entered and exited in order to facilitate the warehouse and secretary in informing the stock of goods to customers and directors effectively. The aim of this research is to find out ways for the warehouse to input goods data in a manner automatically with a barcode so that it does not hamper the sales process. The system method for this Android-basedapplication uses the prototype method. Making the software in this thesis, the authors use Sublime Text 3, Android Studio, and for the database using PhpMyAdmin. The result of making this application is inputting and checking stock information in and out of an android smartphone, by opening the inventory application on android then selecting the item input menu. To check the item, select the item stock menu containing items that have entered and exited using the system application. Testing of this application uses blackbox testing. This research shows that the inventory application system of this item can also use an Android-based Barcode scanner can make it easier for the warehouse to input goods data automatically, helping to facilitate the warehouse to convey information of goods data in and out to the secretary and director effectively. Keywords : Barcode, Android, Prototype, inventory, web.

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