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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 396 Documents
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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.
Mencegah Kredit Macet Dengan Analisa Kelayakan Pembiayaan Dengan Metode C4.5 Dan Naïve Bayes (Studi Kasus : Koperasi BMT UGT Sidogiri Cabang Cikarang) Agung Nugroho
Jurnal SIGMA Vol 11 No 2 (2020): Juni 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The progress of the growth of MSMEs (Micro, Small and Medium Enterprises) in Indonesia from time to time which is increasingly rapid, resulting in an increase in the need for capital to develop their business. This is evidenced by the increasing number of credit or financing withdrawals from savings and loan cooperatives and BPRs (Rural Banks). The problem faced by savings and loan cooperatives, BPRs, or other financial institutions at this time in providing credit is the risk of late payments, repayments and even failure of credit payments. This problem occurs due to credit misuse and weak supervision both in the process of providing credit and in the implementation stage. The right solution to solve existing problems is by using data mining algorithms. The concept of data mining will make it easier to solve problems that are not optimal in cooperatives, the classification method is able to find models that differentiate concepts or data classes with the aim of making it easier to predict creditworthiness. The Naive Bayes algorithm and the C4.5 algorithm are considered to be able to predict future opportunities based on previous experiences. The author conducted research on the BMT UGT Sidogiri Cooperative with the title "Preventing bad credit by analyzing the feasibility of financing with the Naive Bayes and C4.5 methods". In this study the authors used 9 attributes as an assessment, namely: name, residence status, financing contract, income, ceiling, term of repayment, number of dependents, collateral. Testing is done using 520 data and 104 randomly selected testing data. From the results of tests carried out using Rapid Miner tools, it can be concluded that the accuracy level of the C4.5 algorithm is more accurate at 81.35%, while the Naive Bayes algorithm is 78.85%. Keywords : Credits, Classification, Accuracy, Naive Bayes, C4.5.
Sistem Pendukung Keputusan Penilaian Kinerja Guru Terbaik Pada SMA Negeri 1 Telukjambe Barat Menggunakan Metode Analytic Hierarchy Process (AHP) Arif Siswandi
Jurnal SIGMA Vol 11 No 2 (2020): Juni 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

In line with this global era, with the rapid development of technology the need for information is needed. Moreover, the information generated contains true, accurate, fast and precise values. Problems that often occur in the teacher performance appraisal process include the subjectivity of decision making, especially if some teachers have responsibilities that are not much different. Decision support system is a decision making process assisted by using computers to help decision making by using certain data and models to solve some unstructured problems. While the Analytic Hierarchy Process (AHP) is a method or tool in multi-criteria decision making using the help of Expert Choice Ver.11 software. the criteria used as a benchmark in determining the assessment of the best teacher performance at SMAN 1 Telukjambe Barat are: Responsibility, Discipline, Diligent, Friendly. From this study found that responsibility is a priority or is preferred at SMAN 1 Telukjambe Barat from the 19 teachers Maya has far better responsibilities and meets the criteria to be the best teacher compared to other teachers. Keywords : Decision Support System (SPK), Analytic Hierarchy Process (AHP), Expert Choice Ver.11., The best teacher
Analisis Sentimen Terhadap Operator Seluler Telkomsel Menggunakan Algoritma Naïve Bayes Candra Naya
Jurnal SIGMA Vol 11 No 2 (2020): Juni 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The use of social media in the era of globalization is very necessary for all people including Telkomsel cellular operators, Telkomsel uses Twitter as a promotional media. However, the use of Twitter as a medium for promotion of Telkomsel received various compliments of input and criticism and in this case the authors conducted research to analyze Telkomsel user sentiment. And in this study the authors used the Naïve Bayes algorithm to classify sentiments and look for preference values. From the results of tests conducted using cross validation techniques and accuracy measurements using confusion matrix with 10 times the best accuracy testing obtained was 85.33 % and the positive response obtained from the calculation of preference value was 37.03 %. It can be concluded that the Naïve Bayes algorithm can be used to classify quite well and be able to measure user responses. Keywords : Twitter, Sentiment Analysis, Naïve Bayes Classifier, Cross Validation, Preference Value
Analisis Data Mining Menggunakan Algoritma Naïve Bayes Dalam Memprediksi Pembelian Material Plastik Injection (Studi Kasus: PT. Surya Technology Industri) Muhtajuddin Danny
Jurnal SIGMA Vol 11 No 2 (2020): Juni 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

To facilitate every decision making in the process of purchasing plastic injection material in the sales department of PT. Surya Technology Industri, which has not been controlled with production or sales to customers, resulting in too much stock and cannot be sold. PT. Surya Technologi Industry, which is engaged in Manufacturing, has more than 400 types of raw materials so that companies find it difficult to predict future needs and what the company needs. The aim of this research is to analyze the data for purchasing plastic injection materials for more accurate and efficient results. Data mining techniques with the Naïve Bayes algorithm method are used in this study to classify so as to produce decisions with probability values and useful rules as input in determining the decision-making process. Of the 1120 datasets on the purchase of plastic injection material, testing was carried out ten times, the distribution of the test with different training data and testing data with the provisions of 10% test data and 90% training data. Based on the results obtained, it shows that the Naïve Bayes algorithm in classifying data on the purchase of plastic injection materials using the Rapid Miner tools has the highest accuracy, precision and recall values, namely testing at the proportion of 90% (1008 data) training and 10% (112 data) testing using cross validation 10-fold with 88.93% accuracy, 92.88% precision and 87.77% recall. This shows that the Naïve Bayes algorithm has a fairly good performance in making predictions so that it can be implemented for the decision- making process for the company. Keywords : Naïve Bayes Algorithm, Data Mining, RapidMiner, Classification
Pemanfaatan Sistem Pendukung Keputusan Untuk Penentuan Alokasi Dana Kegiatan Berbasis Web Menggunakan Metode Object Oriented Analisis Design Dan Unified Modeling Language (Studi Kasus SMK Negeri 1 Cikarang Utara) Muhamad Fatchan
Jurnal SIGMA Vol 11 No 2 (2020): Juni 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The development of technology in the current era runs very rapidly, this is evidenced by the many uses of the internet network in various communities today. The use of computers has evolved from merely processing data or presenting information to management, to being able to provide choices as a decision support tool for management. Computer-based information systems (Computer Based on Information Systems), one of which is a Decision Support System (Decision Support System), which is an interactive computer information system that can provide alternative solutions for decision makers. At SMK N 1 Cikarang Utara the process of submitting an activity proposal has not been computerized and does not yet have a decision support system for determining the allocation of activity funds. So it must take a long time to verify the proposed activity proposal. The development of information technology has enabled decision makers to be done more quickly and accurately. So as to make decisions more quickly, carefully avoid and reduce the subjectivity of the resulting decisions needed a decision support system that aims to facilitate the process of verifying the proposal of activities and determination of activity funds for student activity units through the process of determining the feasibility of activities and allocation of funds given to carry out activities the. To get a solution to the problem of submission of proposals so that only incoming proposals that are in accordance with the criteria specified by the School Principal so that there is no prolonged revision process and no difficulty in processing proposal data, a website- based decision making system is designed. data collection methods using interview, observation and literature study methods, while in the design of information systems the author uses the Object Orientied Analyst Design "OOAD" method using Unified Modeling Language (UML) software that was built using PHP and MySQL programming languages as the database. The new system can maximize the work of treasurers and principals in delivering accurate information and administrative services effectively and efficiently. Keywords : Website, Decision Making System, Proposal, OOAD, UML
Sistem Pendukung Keputusan Karyawan Terbaik Dengan Metode Profile Matching Best Employee Decision Support System With Matching Profile Process Method Yoga Religia
Jurnal SIGMA Vol 11 No 2 (2020): Juni 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Promising human resources can support the advancement of a company. Human resource development must also have clear and well-planned rules. To maintain good resources and produce promising resources, management planning is needed, for example in the form of hiring new employees, conducting training, performance appraisal, etc. The process of selecting the best employees at PT Samudera Ocean Perkasa Indonesia which is still manual and accompanied by decision making takes a long time. So as to simplify the process of selecting the best employee recommendations, it is very necessary to build a decision support system so that it can help to provide the best employee selection recommendations. In this study the problem was formulated about how to implement the profile matching method for the selection of employees in PT Samudra Ocean Perkasa Indonesia. While the aim of this research is to choose the best employees in PT Samudra ocean mighty Indonesia to be more targeted. The result of this application is the system automatically recommends the best employees, and testing this system using a blackbox, and after use the blackbox system is ready to use. Keywords : decision support system, Profile Matching, php.

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