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[SISTEM INFORMASI INVENTORY BARANG BERBASIS WEB DENGAN MENGGUNAKAN METODE WATERFALL PADA PT. MUSASHI AUTO PARTS INDONESIA ]]>
<![CDATA[Yoga Religia]]>;
<![CDATA[Heriyanto2 Heriyanto2]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 4 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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<![CDATA[Information systems are systems that process and provide information for decision making in an organization. Inventory information system is a system used to process and provide information about inventory data in a company for decision making. Goods Inventory Information System at PT. MUSASHI AUTO PARTS INDONESIA still uses manual processes. The purpose of this study is to develop an ongoing inventory information system at PT. MUSASHI AUTO PARTS INDONESIA to support web-based warehouse inventory control. The methodelogy used to develop this inventory information system is the waterfall method and uses the PHP and MySQL programming languages. Inventory information systems can overcome problems related to the quality of information and the clarity of information produced. Admin as user of inventory information system concludes that this system can facilitate the processing, searching, and reporting of data in and out of warehouse goods. Keywords: Information Systems, Inventory, Waterfall, PHP, MYSQL.]]>
<![CDATA[PEMESANAN TIKET WISATA DI KABUPATEN KUNINGAN BERBASIS MOBILE ]]>
<![CDATA[Ismasari Nawangsih]]>;
<![CDATA[Elgi Ginanjar]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 4 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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<![CDATA[The current development of information technology is a human need in carrying out daily activities or activities, with the development of technology and its proper use it will produce appropriate information, especially in the ease of obtaining information on booking tourist tickets in Kuningan Regency for migrants such as the community. outside Kuningan Regency. This online-based tourist ticket booking information system is a digital startup centered on the service sector, an online-based ticket booking information system using an Android mobile. With the existence of this online ticket booking service, it is hoped that it can help customers in making it easier to order tickets according to what the customer expects. The purpose of making this online-based ticket booking information system is to make tourism in Kuningan Regency easily promoted, as well as extensive network access. This system development method uses the SDLC (System life cycle) method which is a classic methodology used to develop, maintain, and use information systems, for the system testing method here uses the blackbox testing method The blackbox testing method is a program testing stage that prioritizes testing of functional requirements of a program. The result of the conclusion of this online-based ticket booking information system is to make it easier to get tourist tickets in Kuningan Regency. Keywords : Ticket ordering information system, ticket booking, SDLC (System life cycle) method.]]>
<![CDATA[POTENSI MANFAAT DAN PROBLEM DI E-COMMERCE ]]>
<![CDATA[Herma Pribadi2]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 4 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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<![CDATA[The advanced technology of internet has brought the new way of business by introduction of the e-commerce. Nevertheless, it has potential impact on both ways, positive and negative. From the positive side, it can be utilised to enhance overall company’s performance. However, it has a lot of potential problems as well, such as cybertax, security and audit trail. Therefore, everyone who involves in the e-commerce should account for those issues to reduce or mitigate its impact. Keywords: Audit Trail, Internet, Electronic Commerce]]>
<![CDATA[ANALISA TINGKAT KEPUASAN PELANGGAN TERHADAP PENJUALAN BEAUTY PRODUK PADA ONLINE SHOP DENGAN MENGGUNAKAN METODE NAIVE BAYES ]]>
<![CDATA[Donny Maulana]]>;
<![CDATA[Emi Lia Nurjanah]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 4 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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DOI: 10.37366/sigma.v10i1.477
<![CDATA[The development of technology is now making it easier and pampering humans, one example that we have known for a long time is shopping online. Besides that customer satisfaction becomes the main target in the business world, because customers are the main foundation in the establishment of a company and become the main goal. Efforts to improve customer satisfaction services in one of the stores in the biggest marketplace in shopee namely DeBeautyHouse, the authors analyze the level of satisfaction in the online shop through existing assessment data, as for the attributes that affect customer satisfaction, namely, product name, product type, product quality , product prices and product shipments. The method used in this study is Naive Bayes to determine the level of data accuracy. The results of this study obtained an accuracy rate of 96.00% with a recall value of 95,24% and a percision value of 100,00%. Keywords : Customer Satisfaction, Online Shop, Naive Bayes]]>
<![CDATA[PERANCANGAN SISTEM INFORMASI MONITORING OUTPUT DAN DEFECT PRODUKSI BERBASIS DESKTOP DENGAN MENGGUNAKAN METODE PROTOTYPING PADA PT JEKTRIM TECH INDONESIA ]]>
<![CDATA[Arif Siswandi]]>;
<![CDATA[Muhammad Iqbal Fadillah]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 4 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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DOI: 10.37366/sigma.v10i1.502
<![CDATA[The advancement of technology in the manufacturing sector made PT J. Ektrim Tech Indonesia have to change the production process of its goods to be computerized. So far, the production process which includes the process of reporting product results and repairing defective items for production is still done manually. The solution to this problem is to design a computerized manufacturing monitoring system. With this system, it is hoped that it can help the entire production process in the field, including being able to help make production defect data reports and assist production management in monitoring production activities. From the results of testing the application, it can be concluded that the system to be built using the prototyping method can manage product defect data and integrate production functions carried out by production management, production repairman and production scan operators into a series of production processes in production of PT J. Extreme Tech Indonesia. Keyword : Sistem monitoring manufaktur, metode prototyping, defect, produksi]]>
<![CDATA[PENERAPAN DATA MINING UNTUK PEMINATAN RASA ROTI BAKAR DI CV. SARIRAOS MENGGUNAKAN METODE NAÃVE BAYES ]]>
<![CDATA[Nurhadi Surojuddin]]>;
<![CDATA[Enuh Enuh]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 4 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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DOI: 10.37366/sigma.v10i1.478
<![CDATA[Changes in buyer behavior towards the times this causes culinary business actors to innovate so that businesses continue to run and survive this will have a major effect on the income and turnover obtained to develop a taste interest in CV Sariraos toast by analyzing data mining and its use of naïve Bayes methods. To calculate the odds of one class and each attribute and determine which class is the most optimal, then the analysis is explained using the rapidminer application, its usefulness is to predict accuracy data and using the naïve Bayes method is expected to provide accurate decisions in determining recommendation of taste interest, classification method and predictions that represent these rules are then developed by calculating the confusion matrix formula based on the results of the research, so it can be concluded that with the naïve Bayes method, the most preferred taste is chocolate by testing using an applica. the rapidminer shows the accuracy rate obtained is 92.64%. Keywords: taste interest, data mining, Naïve Bayes, Rapidminer, Confusion matrix]]>
<![CDATA[SISTEM PAKAR PENDETEKSI KERUSAKAN MESIN PACKING OTOMATIS MODEL CP730B DENGAN METODE CASE BASED REASONING ]]>
<![CDATA[Yoga Religia]]>;
<![CDATA[Erni Ratnasari2]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 4 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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DOI: 10.37366/sigma.v10i1.479
<![CDATA[In this study the problem was formulated about the proccess how to implement the Decision Support System using the Case Based Reasoning Method to detect damage to an automatic CP730B packing machine. While the purpose of this research is to design a system that can be used to detect damage to machines that often occur, find solutions to make it easier for technicians and production employees who use the CP730B model automatic packing machine to save time, effort and how to minimize the expense of maintenance costs. This system is made using PHP, for its Database using MySql Database and the method used in making this system is the Case Based Reasoning method. His system pupose provides knowledge of the symptoms of damage to the machine as well as solitions to how to deal with damage so as to reduce the maintenace cost budget by specialized technicians because almost all of the handling can be done alone using this system. The result of this system is to assist in the detection of breakages or problems that occur in an automatic packing machine. Keywords : Expert System, Case Base Reasoning, Php, Mysql Database.]]>
<![CDATA[KLASIFIKASI ANALISIS SENTIMEN TERHADAP KASUS PENUSUKAN WIRANTO MEDIA SOSIAL TWITTER DENGAN MENGGUNAKAN METODE NAÃVE BAYES CLASSIFICATION ]]>
<![CDATA[A. Yudi Permana]]>;
<![CDATA[Dirga Nuansa Mahardhika]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 4 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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DOI: 10.37366/sigma.v10i1.474
<![CDATA[The existence of Twitter has been widely used by various levels of society in the last few years. The habit of the public to post tweets to assess the wiranto stabbing case is one of the media in representing the public's response to the stabbing case. Therefore, in this study, an analysis of public sentiment will be carried out on the case of Wiranto di stabbing which was revealed through the Twitter social network. The analysis was carried out by using the tweet classification which contains the public's sentiment regarding the Wiranto stabbing case. The classification method used in this study is the Naive Bayes Classification (NBC). NBC was used to obtain a classification of positive and negative responses to the public on Twitter and to obtain the preference value from the community for stabbing cases. The results of testing the percentage of wiranto data methods of 25%, 50%, 75%, and 100% of the amount of data from the training data resulted in an accuracy of 64.67%, 70.57%, 87.56%, 97.50. And for the results of testing the positive response of the community on Twitter with a preference value of 53%. Thus, sentiment classification using the Naive Bayes classification method can be used to measure the public response to the Wiranto stabbing case. Keywords: Twitter, Naive Bayes, sentiment analysis.]]>
<![CDATA[Pemanfaatan Sistem Pendukung Keputusan Untuk Penentuan Alokasi Dana Kegiatan Berbasis Web Menggunakan Metode Object Oriented Analisis Design Dan Unified Modeling Language ]]>
<![CDATA[Aswan Supriadi Sunge]]>;
<![CDATA[Awaludin]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 4 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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<![CDATA[Perkembangan teknologi di era saat ini berjalan yang sangat pesat, hal ini terbukti dengan banyaknya penggunaan jaringan internet diberbagai kalangan masyarakat saat ini. Penggunaan komputer telah berkembang dari sekedar pengolahan data ataupun penyaji informasi bagi manajemen, menjadi mampu untuk menyediakan pilihan-pilihan sebagai pendukung pengambil keputusan yang dapat dilakukan bagi manajemen. Sistem informasi berbasis komputer (Computer Based on Information Sistem) yang salah satunya adalah Sistem Pendukung Keputusan (Decision Support Sistem), yaitu suatu sistem informasi komputer yang interaktif yang dapat memberikan alternatif solusi bagi pengambil keputusan. Di SMK N 1 Cikarang Utara proses pengajuan proposal kegiatan belum terkomputerisasi dan belum mempunyai suatu sistem pendukung keputusan untuk penentuan alokasi dana kegiatan. Sehingga harus membutuhkan waktu lama dalam memverifikasi proposal kegiatan yang diajukan. Perkembangan teknologi informasi telah memungkinkan pengambil keputusan dapat dilakukan dengan lebih cepat dan cermat. Sehingga untuk melakukan pengambilan keputusan dengan lebih cepat, cermat menghindari dan mengurangi subyektifitas keputusan yang dihasilkan diperlukan suatu sistem pendukung keputusan yang bertujuan mempermudah proses verifikasi proposal kegiatan dan penentuan dana kegiatan untuk unit kegiatan mahasiswa melalui proses penentuan kelayakan kegiatan dan alokasi dana yang diberikan untuk melaksanakan kegiatan tersebut. Untuk mendapatkan solusi dari permasalahan pengajuan proposal agar proposal yang masuk hanya yang sudah sesuai dengan kriteria yang sudah ditentukan oleh Kepala Sekolah sehingga tidak terjadi proses revisi berkepanjangan dan tidak mengalami kesulitan dalam pengolahan data proposal, maka dirancang sebuah sistem pengambil keputusan berbasis website. metode pengumpulan data menggunakan metode wawancara, observasi dan studi pustaka, sedangkan dalam perancangan sistem informasi peneliti menggunakan metode Object Orientied Analis Desain“OOAD” menggunakan Unified Modeling Language (UML) perangkat lunak yang dibangun menggunakan bahasa pemrogram PHP dan MySQL sebagai databasenya. Sistem yang baru dapat memaksimalkan pekerjaan bendahara dan Kepala Sekolah dalam penyampaian informasi ketelitian maupun pelayanan administrasi secara efektif dan efisien. Kata Kunci: Website, Sistem Pengambil Keputusan, Proposal, OOAD, MySql]]>
<![CDATA[Penerapan Algoritma Naive Bayes Untuk Menentukan Klasifikasi Produk Terlaris Pada Penjualan Pulsa ]]>
<![CDATA[Ismasari Nawangsih]]>;
<![CDATA[Asty Setyaningsih]]>
<![CDATA[ Jurnal SIGMA Vol 10 No 4 (2019): Desember 2019 ]]>
Publisher : <![CDATA[Teknik Informatika, Universitas Pelita Bangsa ]]>
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<![CDATA[Penelitian ini di latar belakangi oleh kemajuan perkembangan teknologi komunikasi dan informasi yang sangat pesat dan semakin murah sehingga membuat masyarakat untuk pulsa telepon selular menjadi kebutuhan yang wajib pada masa kini. Dari bermacam produk pulsa yang ada pada konter RA Cell Pulsa Telkomsel, Pulsa XL, Pulsa Indosat, dan Pulsa 3 peneliti mengklasifikasi menjadi Laris dan Tidak Laris. Tujuannya dapat mengetahui penerapan data mining dengan menggunakan algoritma Naive Bayes dalam menentukan klasifikasi produk terlaris dan hasil akurasi data terhadap stok penjualan pulsa. Dengan mengumpulkan data sebanyak 600 data menjadi 480 data training dan 120 data testing. Data mining merupakan bentuk penggalian data dalam mengklasifikasi pada sebuah data yang jumlahnya banyak, menggunakan tool RapidMiner dan algoritma Naive Bayes merupakan metode klasifikasi yang banyak digunakan karena sederhana dan akurasi yang tinggi dalam mengklasifikasi data. Berdasarkan hasil penelitian yang telah dilakukan, jenis produk terlaris pada penjualan pulsa menurut nama produk adalah Pulsa Telkomsel. Tingkat akurasi klasifikasi dengan metode Naive Bayes menghasilkan nilai Accuracy sebesar 97,50%, nilai Precision 100%, dan nilai Recall 93,48% sehingga metode Naive Bayes merupakan metode yang cukup baik dalam penelitian ini. Kata Kunci: Pulsa, Klasifikasi, Data Mining, Naive Bayes]]>
