cover
Contact Name
Ananto Tri Sasongko
Contact Email
ananto@pelitabangsa.ac.id
Phone
+6288980229926
Journal Mail Official
ananto@pelitabangsa.ac.id
Editorial Address
Jl. Inspeksi Kalimalang No.9, Cibatu, Cikarang Sel., Kabupaten Bekasi, Jawa Barat 17530
Location
Kab. bekasi,
Jawa barat
INDONESIA
Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB
ISSN : 24073903     EISSN : 28291891     DOI : https://doi.org/10.37366/sigma.v16i1
Core Subject : Science,
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.
Articles 396 Documents
Sistem Manajemen Informasi Sebagai Pendukung Produksi di Industri Manufaktur (Studi Kasus : Perusahaan Penghasil Pensil) Kurbandi Satpatmantyo B.R.
Jurnal SIGMA Vol 12 No 2 (2021): Juni 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Data can be more than just raw materials information system . Data can be formed into an very valuable organizational resource. Organizations that lack of attention to data will be missed , therefore, the data should be organized and managed effectively with a good management information system , so as to give maximum benefit to the users in an organization included in a manufacturing company. Keywords : Management Information Systems , Manufacturing Companies
Sistem Informasi Salon Kecantikan Dan Perawatan Studi Kasus Pada Salon Griya Poetri Wiyanto Wiyanto
Jurnal SIGMA Vol 12 No 2 (2021): Juni 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Griya Poetri, office located at Permata No. 20 Jl. Azalia Raya Green Valley Lippo Cikarang, a business in the beauty salon and treatment for men and women which include cutting, blow, straight iron, curly iron, bun, smoothing, perming, rebonding, coloring, highlights, bleacing, cream bath, makeup, pedicure, manicure, hand massage, foot reflexi etc. Griya Poetri require administrative system and the right information, quickly, accurately and efficiently, which can adopt administrative difficulties in terms of covering existing transactions and income statement in accordance with the wishes of the owner of a beauty salon and treatment Griya Poetri. So the system created can be used in accordance with the needs of the organization. Keyword: Information Systems, Administration
Analisa Terhadap Penerimaan Dan Penggunaan Perpustakaan Digital Berdasarkan Pendekatan Utaut : Studi Kasus Perpustakaan STMIK MIC CIKARANG Muhtajuddin Danny
Jurnal SIGMA Vol 12 No 2 (2021): Juni 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Digital Library is a product of the integration of the progress of Information and Communication Technology (ICT), which provides scientific information to library users. Site www.mic.ac.id/lib is STMIK MIC library CIKARANG which has been providing digital library services. This study aims to assess the behavior of library users STMIK MIC CIKARANG based on the factors that influence the approach to Unified Theory of Acceptance and Use of Technology (UTAUT), using analysis of Structural Equation Modelling (SEM) by Analysis of Moment Structure (AMOS) as a software data processing applications. This study uses a quantitative approach Explanative survey method. The student population is STMIK MIC CIKARANG. Sampling using purposive sampling, with as many as 118 respondents evaluated through a questionnaire. In the partial test showed that the variables Behavioural Intentions has a positive and significant correlation with Behavovioural Use (p-value <0.05). While Performance Expactancy, Social Influence, Facilitating Conditions did not have a significant correlation with Behavioural Intentions. Keywords: Digital Library, UTAUT, AMOS.
Studi Simulasi Sistem Monitoring Air Proses Produksi Berbasis Borland Delphi Untuk Dunia Industri Wahyu Hadikristanto
Jurnal SIGMA Vol 12 No 2 (2021): Juni 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Water monitoring system is a solution offered to anticipate problems that occur in some industries, using the development of monitoring system is expected to mengeffesiensikan working time, a simple simulation is exposed through prototype and programming language Borland Delphi (boland Delphi 7), the monitoring system is a device simple software and can be used to regulate or control the temperature and water level of a quenching tub which is a part cooling tub (appliance). In realizing this, using the method approach, the method used for the preparation of research that is the method of experiment. In software design using Delphi programming language modified with assembler language to translate the input or output on the pheripheral through the parallel port. The performance of the system simulation device acknowledges the water level so that the process material is not NG, with the help of the parallel port interface via the LPT1 address $ 378 will provide output to the driver circuit. Utilization of this interface to maximize the work of the parallel port should use a PPI (programmable peripheral interface) IC because the IC is designed to blind the input port and parallel computer output which only has 8 bits can be 24 bits, so it can accept larger I / O (many ). Keywords: Water Monitoring System, Quenching
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