Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB
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.
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<![CDATA[PENERAPAN INTERNET OF THINGS (IOT) PADA SISTEM KONTROL DAN MONITORING LAMPU GEDUNG MENGGUNAKAN NODEMCU BERBASIS TELEGRAM ]]>
<![CDATA[Wahyu Hadikristanto1]]>;
<![CDATA[Muhammad Suprayogi2]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 2 (2019): Juni 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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<![CDATA[The need for light is to be one of the main necessities of human life today. Technological advances are helpful in many respects aspects of life especially in terms of light. Thanks to technological advances, humans rely not only on sunlight as a means of lighting everyday life because of the discovery of lights as a substitute for illumination at night. By utilizing Internet Of Things technology Now the lights can be controlled and monitoring only through mobile devices or computers that have telegram applications installed. Utilizing the bot or robot features in the Telegram Messenger application, now controlling the lights and checking the lamp conditions can be replaced by the role of Relay Module 2 Chanel, NodeMCU V3, and the sensor LDR Module that is connected to the Internet. These three components are set in such a way that the source code can be connected with botTelegram tokens. Keywords: lights, Internet of Things (IoT), Relay Module 2 chanel, NodeMCU V3, sensor LDR module, bot Telegram.]]>
<![CDATA[MODEL APLIKASI ACCOUNTING DAN FINANCE PADA PT. SHOETOWN KASOKANDEL INDONESIA ]]>
<![CDATA[Sufajar Butsianto]]>;
<![CDATA[Mamat Casmat]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 2 (2019): Juni 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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<![CDATA[This research aims to study and implement the application of accounting standards of PT. Shoetown Kasokandel Indonesia and the implementation of a partial accounting information system on the quality of PT. Shoetown Kasokandel Indonesia. This type of research is quantitative descriptive research. And design for the application of financial accounting information systems of PT. Shoetown Kasokandel Indonesia uses the Application Development (RAD) method. The final result obtained is the analysis and design of an accounting information system that can produce financial reports in the form of general journals, ledgers, collections, and income statements. Keywords : accounting standards, accounting information systems, financial statement quality.]]>
<![CDATA[Pemanfaatan Internet Of Things Pada Lampu ]]>
<![CDATA[Muhtajuddin Danny]]>;
<![CDATA[Wahyudi Wahyudi]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 2 (2019): Juni 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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<![CDATA[Limited power supply is required to conserve its use. One of the things that can be done to save electricity is to use the house lights as needed. Open source operating systems on android phones can be used to make the house light controller applications using the Arduino UNO (Microcontroller ATmega328) and relay instead of a switch. Android application is used as input commands to the circuit arduino UNO (microcontroller ATmega328) through media liaison Bluetooth module. Arduino UNO will respond to input with the output of a logic low (0V) and logic high (5V) via pins that have been determined, the pins are connected to the Relay module. Relay module is used instead of a switch that is connected to the lamp house. When it gets input logic low (0V) the relay will be active and will supply power to the light so that the light is on, and when it gets a high logic input (5V) relay will not be activated so that the flow of electricity to the lights and the lights will cut off the dead.]]>
<![CDATA[OPTIMASI ALGORITMA C4.5 DENGAN MENGGUNAKAN ALGORITMA GENETIKA UNTUK MEMPREDIKSI MEREK METERAN AIR PAM ]]>
<![CDATA[Aswan Sunge]]>;
<![CDATA[Risnawati Risnawati]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 2 (2019): Juni 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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<![CDATA[The Drinking Water Company has endeavored to provide services to meet the need for clean water, but in its journey often received complaints from the community or pam customers. Customer complaints can be caused from damage to the meter Water causes water to die into the house, a leakage in the meter count, leakage in the meter body or excess usage when checking takes place in each house, the number of meters damaged causes the stock in the warehouse to be incompatible with the usage needs new installation and use due to meter damage. Due to the lack of clean water in the area, there is a demand from the community to optimize their needs, but the fact is that it cannot be optimized yet because the water pipeline has not yet been installed. Extracting large amounts of data is usually called data mining. Because there is no research on meter brands using the C4.5 Algorithm method and is optimized using the Genetic Algorithm. In conducting this test the tools used are Rapidminer. The results obtained using the C4.5 algorithm without optimization are 63.33% and the results obtained by the C4.5 algorithm and genetic algorithm optimization are 90.00% or an increase of 26.67% from the C4.5 algorithm without optimization. Keywords: Data Mining, Meter Brand, C4.5 Algorithm, Genetic Algorithm.]]>
<![CDATA[OPTIMASI ALGORITMA NAÃVE BAYES BERBASIS PARTICLE SWARM OPTIMIZATION (PSO) DAN STRATIFIED UNTUK MENINGKATKAN AKURASI PREDIKSI PENYAKIT DIABETES ]]>
<![CDATA[Asep Muhidin]]>;
<![CDATA[Muhamad Casdi2]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 2 (2019): Juni 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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<![CDATA[Diabetes mellitus is a disease that causes uncontrolled blood sugar levels due to a lack of insulin levels in the body. Based on data, the results of diabetes laboratory tests can be predicted with data mining that can help medical personnel. Data mining is a process of identifying data to become information and decisions. This study uses the Naïve Bayes algorithm based on Particle Swarm Optimization (PSO) and Stratified. The results of the Naïve Bayes algorithm get an accuracy value of 75.40% and an AUC value of 0.829%. Meanwhile, the results of the Naïve Bayes algorithm based on Particle Swarm Optimization (PSO) and Stratified get an accuracy value of 90.00% and an AUC value of 0.926. From this study, the Particle Swarm Optimization (PSO) and Stratified based Naïve Bayes algorithm obtained a higher accuracy value with an increase of 14.60% in predicting diabetes disease. Keyword : Diabetes, Data Mining, Naïve Bayes, PSO, Stratified]]>
<![CDATA[SISTEM PENDUKUNG KEPUTUSAN KENAIKAN PANGKAT KARYAWAN DENGAN METODE TOPSIS PADA PT. TRI SAUDARA SENTOSA INDUSTRI ]]>
<![CDATA[Elkin Rilvani]]>;
<![CDATA[Ma'ruf Setiadi2]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 2 (2019): Juni 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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<![CDATA[Employees are one of the most important assets owned by the company in its efforts to maintain survival, develop, the ability to compete and make a profit. To improve employee performance at PT. Tri Saudara Sentosa Industri, there needs to be a promotion for employees. However, the current appointment process for employees is not precise, because the calculations made are not yet detailed, apart from that there is still the potential for subjectivity that causes jealousy among employees. Decision support system (SPK) can be defined as a system intended to support managerial decision makers in an unstructured decision situation. The TOPSIS (Technique For Others Preference by Similarity to Ideal Solution) method uses the concept that the best alternative not only has the shortest distance from the positive ideal solution, but also has the longest distance from the negative ideal solution. From the calculation of determining employee promotions using the TOPSIS method, the highest calculation results will then be determined as recipients of employee promotions. Decision Support System (SPK) with the TOPSIS method is able to facilitate the determination of employee promotions with more accurate calculations Keywords: Employees, Decision Support Systems, TOPSIS (Technique For Others Preference by Similarity to Ideal Solution)]]>
<![CDATA[PENERAPAN ALGORITMA GENETIKA DALAM MEMPREDIKSI PENERIMA PROGRAM KELUARGA HARAPAN DENGAN METODE NAÃVE BAYES ]]>
<![CDATA[Wahyu Hadikristanto1]]>;
<![CDATA[Imam Nasai2]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 2 (2019): Juni 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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<![CDATA[Hope family program is a government program that aims to relieve the burden of poor or near poor families in terms of food, in its implementation is still not optimal because there are still many hopeful family programs that are not yet on target, to avoid any subjective determination of the data mining concept will facilitate overcome problems that have not been optimal, the classification method is able to find the purpose of selecting aid acceptance. The application of genitka can predict the opportunity to visit to determine the difference in results. In this study took 500 data lati data. The lassification methods used in this study are Genetic Algorithms and Naive Bayes. The results of the layoff test for the Naïve Bayes method in accuracy were 94.80% and the genetic algorithm results 69.00% then the ratio dropped by 25.80%. The results of the layoff test for the Naïve Bayes method in the percentage were 94.48% and the genetic algorithm results were 0.00% then the comparison remained unchanged. The results of layoff test for the Naïve Bayes method in recall were 88.38% and the genetic algorithm results were 0.00% then the comparison remained unchanged. Thus the classification using the naïve bayes classification method can be used for selecting aid programs for underprivileged families. Keywords : Naïve Bayes, Algoritma Genetic, RapidMiner, PKH]]>
<![CDATA[ANALISIS PENJUALAN BARANG LARIS DAN KURANG LARIS TERHADAP PERCETAKAN AWFA DIGITL PRINTING MENGGUNAKAN METODE DECISION TREE DENGAN OPTIMASI ALGORITMA GENETIKA ]]>
<![CDATA[Suherman Suherman]]>;
<![CDATA[Irham Muzaky2]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 2 (2019): Juni 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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<![CDATA[Data mining is the process by which data can be searched for with interesting patterns or information with selected data used by certain methods. Problems found in selling items that are in demand and not selling are needed A method for classifying what is the best-selling and least- selling item is needed. C4.5 algorithm is an algorithm used to build a decision tree (decision preparation). C.45 algorithm is one of the decision tree induction algorithms. The goal is to optimize the C4.5 Decision Tree Algorithm with Genetic Algorithms. The use of the C4.5 Decision Tree Algorithm method yields 85.15%, while the results after being optimized using the Genetic Algorithm reach 93.09%. Thus the results of optimization of the C4.5 Algorithm Decision Tree + Genetic Algorithm can increase the accuracy value resulting in more optimal accuracy. It can be denied from the result of the predicted sales of goods reaching 37 after being optimized to 121, when the prediction results are less than 133 after being optimized to 524. Keywords : C4.5 Decision Tree Algorithm, Genetic Algorithm, Optimization, Analysis.]]>
<![CDATA[Perancangan Sistem Informasi Kost Wilayah Karawang Berbasis Web ]]>
<![CDATA[Asep Muhidin]]>;
<![CDATA[Ghofur Muzzafar]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 2 (2019): Juni 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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<![CDATA[Abstraksi Seiring dengan bertumbuhnya lahan usaha ataupun kawasan indutri di daerah Karawang serta banyaknya pendatang maka kebutuhan tempat tinggal sementara(kost) juga semakin meningkat. Adapun kesulitan mencari tempat tinggal yaitu minimnya informasi mengenai lokasi tempat tinggal, ketersediaan kamar, dan fasilitas rumah kost. Masalah lainnya adalah bagaimana melakukan pemesanan kamar kost secara cepat dan mudah. Salah satu solusi untuk mengatasi permasalahan tersebut adalah dengan media komunika terkomputerisasi yang dapat memfasilitasi para pendatang, penghuni kost dan pihak pengelola tempat kost untuk berbagi informasi mengenai tempat kost secara cepat dan mudah. Tujuan dari perancangan informasi ini adalah memberikan informasi tentang kost yang ada di Karawang serta meningkatkan promosi tempat usaha kost yang ada di Karawang. Dalam pembuatan system ini software yang di gunakan adalah XAMPP sebagai control, Mysql untuk pengelolaan database, Mozzila firefox sebagai browser web serta Notepad++ untuk membuat script menggunakan bahasa pemrograman HTML, PHP. Sistem ini membantu para pencari kost untuk mencari tempat kost yang sesuai keinginan serta membantu pemilik usaha kos untuk meningkatkan pemasaran. Kata kunci : Mysql, PHP, Sistem informasi]]>
<![CDATA[PERANCANGAN DAN PENERAPAN SISTEM PENDUKUNG KEPUTUSAN UNTUK KENAIKAN JABATAN ( KARYAWAN KONTRAK MENJADI KARYAWAN TETAP ) DENGAN MENGGUNAKAN METODE SIMPLE ADDITVE WEIGHTING (SAW) PADA PT. PRINTEC PERKASA II ]]>
<![CDATA[Abdul Halim Ansor]]>;
<![CDATA[Irpan Apandi2]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 2 (2019): Juni 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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<![CDATA[Printec Perkasa II is a company engaged in printing and packaging. Employees are very important resources to determine the success of a work unit. efforts to improve the quality of the performance of an employee, namely the promotion of contract employees to permanent employees. Promotion is an award given for work performance and employee loyalty to the company. Decision Support System (SPK) which can help make it easier to determine an employee can be said to be eligible for promotion. In this study the decision-making calculation method used is Simple Additive Weighting (SAW) with 4 criteria, namely Discipline, Job Performance, Psychotest and Interview. The system was built using the PHP programming language. The test results using the Black Box Test indicate that the system can function according to user needs and the system is declared to have met the criteria for promotion of contract employees to contract employees at PT. Printec Perkasa II. Keywords : Decision support system, contract employees become permanent employees, PHP, Simple Additve Weigthing (SAW)]]>
