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Journal : Computer

ALGORITMA APRIORI DALAM MENENTUKAN POLA KONSUMEN TERHADAP TATA LETAK BARANG Mardianti, Fitri; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 3 No 1 (2020): comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

The world of trade competition requires managers to improve strategies to survive in competition, as well as the Great Stationery Store that sells stationery and office supplies. With sales transactions carried out every day, the data stack is only stored as an archive. Data Mining is a solution for decision making in developing a business. One of them is to arrange the layout of goods which greatly affects the level of sales seen from the way consumers buy goods outside of planning. By utilizing data on sales transactions that accumulate, it will produce consumer patterns to find out shopping habits and consumer buying interest. The effective data mining method for preparing the goods layout uses the Apriori algorithm association method. By using the Apriori algorithm it can produce a combination of goods purchased simultaneously from consumer patterns and produce high association rules. Sales transaction data processing using Apriori algorithm will be tested using RapidMiner software to find accurate association rules. The results of this study found 4 association rules with a minimum value of 5% support and 50% confidence which are expected to be able to recommend businesses in the preparation of the layout of goods to improve sales strategies.
DATA MINING ALGORITMA C4.5 UNTUK MEMPREDIKSI PENJUALAN BATERAI DI PT VARTA MICROBATTERY INDONESIA Wijaya, Bagus; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 3 No 2 (2020): comasie
Publisher : LPPM Universitas Putera Batam

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The development information of technology in the current era of globalization is very fast, this requires all companies in the world to be able to compete with each other. The competition in the bussiness world, forcing all of the companies to think of strategies and breakthroughs that can ensure the sustainability of the bussiness that they run of. PT VARTA MICROBATTERY INDONESIA is a company engaged producing battery-based materials. However, looking at the past years many series of battery models have been discontinued. Some series of battery models that have been stopped production. It’s difficult to obtain strategic information such as the level of sales per period, predictions of sales in the coming years, and sales of products produced. Availability large sales data in the database server are often not used optimally, therefore the sales data is only used for daily operational activities. Analysis is needed to see patterns from sales data so as to produce predictions of battery. That big data from customer can be analysis using data mining. The method to use as for predictions is C4.5 Algorithm based on decision tree. This mining activity is expected to provide a decision tree to see patterns of prediction consumer buying behavior the batteries. The results of this mining activity is getting 9 rules with size category knowing as a root and the sales via as a leaf.
DATA MINING SISTEM TATA LETAK MATERIAL DI PT BATAM CYCLECT Hutapea, Yuni Shantika; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 4 No 6 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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PT BATAM CYCLECT or better known as Cyclect is a company engaged in the electrical sector in the shipyard. PT BATAM CYCLECT in its material warehouse lacks good material arrangement procedures in the warehouse which results in the warehouse looking cramped and less orderly. So a system is created that helps in processing material layout data based on the type of item, such as material consumables, electric materials, welding materials, electric tools, chemical materials and many other types. Data Mining is a solution in developing a business or a way to use data for future prediction processes. The method used is association rules to find associative rules that are connected with one item and another. The Apriori Algorithm is an algorithm used to generate association rules and is well-known in determining high frequency patterns. The goal is to make it easier for the storeman in the waiter and shorten the time when searching for goods simultaneously with the material layout system. The Apriopri algorithm takes advantage of this process to reduce or narrow the search space for itemset candidate frequency. To test the accuracy of the Apriori algorithm using the Rapid Miner software. The results of the research carried out obtained 10 association rules with a minimum support value of 5% and 50% confidence with 3-itemset results, namely if you order Marking Tape and markers you will order PVC Insulation Tape with a Support value of 15% and a confidence value of 89%.
OPTICAL CHARACTER RECOGNITION METERAN MULTIFUNGSI OTOMATIS MENGGUNAKAN XAMARIN PLATFORM Adami, M. Yarzuk; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 4 No 1 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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Readings and records on electricity and water meters are frequent complaints of customers because often the usage figures used do not match the usage stated on the meter. With the construction of this system, it is hoped that it can assist officers in taking meter readings and recording more accurately. This system uses OCR (Optical Character Recognition), when the smartphone takes a photo of an object and there is a number, the system will be able to recognize and read the number. The application of Optical Character Recognition can produce an average accuracy of 96.66% provided that the meter number printed on the meter is clearly read by the system. If there are numbers that are not readable, it will cause an error in the application, it can be illegible or read the wrong numbers. To prevent wrong output from occurring in the database, the system does not immediately save the scan results to the database but will be displayed first in the box provided so that it can be checked by the officer before finally being saved to the database.
AUGMENTED REALITY PENGENALAN GEOGRAFI ATMOSFER BERBASIS ANDROID ., Nadia; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 4 No 3 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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The development of this augmented reality application is based on the visualization of the geographical Atmosphere learning subject and the conditions of the teaching materials applied to students there are still weaknesses in understanding the teaching materials because the knownledge obtained is still in printed books so that it creates a sense of boredom in students. The purpose of this research is to develop the level of interest and insight of students in the Atmosphere, especially on improving the memory of students through a game in the form of a quiz. The data method applied is thtough observation and interview techniques. The preparation of this application design uses the Markerless-Based Tracking method which is a method that does not require markers to display virtual objects. However, in this study the researchers limited it to the trial stage only. As for the use of Unified Modeling Language to describe how the augmented reality application works. In this study, researchers used a tool called Unity for application design and Adobe Illustrator as a design button. The results of the trials on this application can be installed on Android device and appearance unique.
APLIKASI REKRUTMEN BERBASIS WEB DENGAN METODE PROTOTYPING MENGGUNAKAN FRAMEWORK YII 2 Limbong, Hot Albert; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 4 No 4 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Recruitment is the process of searching, finding and attracting prospective employees to be employed in and by the organization. The recruitment process currently taking place still uses paper media so it takes a lot of time to process applications. Companies can also hire third-party services to advertise their vacancies, but of course they have to pay the costs that must be incurred by the company so that the job advertisements published can be seen by job seekers. PT Tropical Electronic as one of the leading companies in Batam still uses a recruitment process that uses paper media or hires advertising providers. This study aims to build an online recruitment within the PT Tropical Electronic company, making it easier for prospective employees to find job information at PT Tropical Electronic. The software development model that will be used is a prototyping model. Testing method using the black box testing method. The programming language used in the development of this application is PHP using the Yii2 framework and the RDBMS used is MySQL. This application is expected to facilitate the recruitment process at PT Tropical Electronic.
RANCANGAN APLIKASI PENCARIAN TOKO HANDPHONE MURAH DAN TERDEKAT DI KOTA BATAM BERBASIS ANDROID HARTONO, EDY; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 4 No 5 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

The rapid development of technology in the field of information and communication, especially Android-based smartphone devices, resulted in observations from researchers, namely the emergence of difficulties for prospective buyers from outside the city of Batam in finding cheap and nearby cellphone shops that were the background for the design of this system. The system is expected to make it easier for people to find cheap and closest mobile phone shops using the Haversine and GPS methods on Android phones quickly and efficiently so that people are interested in buying. The results of making a search application for the nearest mobile phone shop provide information about cellphone shops such as maps, shop contacts, and shop descriptions. From making the application, it can also make it easier for potential cellphone buyers to find the cheapest and closest cellphone shops using the Haversine Formula algorithm to solve this problem, by taking the shortest distance data between the user's location and the location of the cellphone shop. Therefore, this application makes it easier for potential buyers to find cellphone shops.
APLIKASI EDUKASI PENGENALAN RENTAL MOBIL DI BATAM MENGGUNAKAN AUGEMENTED REALITY BERBASIS ANDROID Rahfy, Rahfy; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 5 No 3 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Education example in media promotion of car rental services. The application of this education has a purpose where in its application the public can use car rental services and easily determine the car they want to use. Augmented Reality is an interaction that combines virtual objects into two dimensions or three dimensions which are then combined together so as to create a mix between realistic and virtual. Augmented reality is a multimedia that connects mobile devices as a means of taking pictures or objects and converting them into the form of applications that describe real situations or called 3D. Android is a Linux-based operating system that has been developed by the Open Handset Alliance such as software, hardware, and providers on Google, HTC, Intel, Motorola, Qualcomm, and T-Mobile which have the advantage of completeness of available applications. Carrying out an activity such as offering a car rental service is not easy because there is so much competition in the world. In this way there is still no significant improvement and less attractive
APLIKASI LAYANAN JAHIT MENGGUNAKAN FRAMEWORK REACT NATIVE Siregar, Elisa Basaria; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 5 No 4 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Human lifes inseparable from primary needs, namely clothing, food and boards. Clothing is a basic human need for clothing used to protect the human body. Current development making clothes can not only protect the human body but also develop into fashion with various models which of course require tailoring services to sew clothes according to customer needs. The process of the customer getting the desired tailor service when this is still using word of mouth or ordering services atau sew on one tailor who has subscribed. Batam city has many services home tailors and customers who still use these methods and less efficient for a tailor and a prospect. This study aims to build a sewing service application which supports the provision of home sewing services and customers. Development this application uses the waterfall model and testing The application uses the black box testing method. Programming language that used is PHP and Javascript using the react native framework as framework and MySQL as database. This application is expected to make it easier for a customer and tailor to be able to connect with each other using the application.
IMPLEMENTASI DATA MINING PADA PENJUALAN TIKET PESAWAT MENGGUNAKAN METODE APRIORI Olin Teresia; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 6 No 3 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Data on flight ticket sales transactions will be mined to support decision-making information. The a priori method was chosen as the most appropriate method in this study, the results obtained indicate the period of the data object produces the final rules for each combination with a minimum support of 80% for 2 and 3 itemsets and 70% for itemset 4 and a minimum confidence of 60%.
Co-Authors ., Nadia Abdi Sugiarto Abdul Azis Achmad Gabriel Glowdy Achmad Junaidi, Achmad Adami, M. Yarzuk Adi Purnomo Sidik Aditya Zhafir Dhiaulhaq Adityo Satrio Bagaskoro Afandi, Pedri Afandy, Benny Agif Hafizhan Ahmad Musnansyah AHMADI Alfanissa Annurullah Fajrin Ali Usman, Ali Amrizal Amrizal Anggia Arista Anshary, Faishal Mufied Al Arif Hernawan Arif Rahman Hakim Arista, Anggia Arrasyid Kamil Asti Amalia Nur Fajrillah AZRIANI, ERA Bagus Wijaya, Bagus Baharudin Yusuf, Baharudin Berlian Maulidya Izzati Berlian Maulidya Izzati Chotib, Moc Cut Nuraini Dede Erik Setiawan Dela Youlina Putri Desra Ayu Miranda Diah Sudiarti DickyZulkarnain Dita Pramesti Edy Hartono Eka Saputra Ekky Novriza Alam Elisa, Erlin Elisaman Hulu Ellbert Hutabri, Ellbert Endang Chumaidiyah Faishal Mufied Al Anshary Faqih Hamami Fasya Dzul Fikri Akbar Febrian Wulandari Febriyani, Widia Fikri Finda Lisna Fitriyana Dewi Francisko Nainggolan, Francisko Nainggolan Fridolin Sarumaha Gayuh Rahayu Gifazil, Muhammad Handra Tipa Handra Tipa Harman, Rika Harri Margono Hayati, Nanik Nur Helfenta, Helfenta Hidayanto, Khoirul Hilmi, Farhan Hutabri, Elbert Hutapea, Yuni Shantika I Made Dwima Gita Dirtana Inayah Dwi Utari Iqbal Santosa Iqbal, Ahmad Irawan, Dedy Irfan Darmawan Joel Rayapoh Damanik Juni Kristian Gea Khairil Anwar Krisna Dwi Permana Kuswandi, Brillian Adhiyaksa Limbong, Hot Albert MANIHURUK, RENI ALDA ARISTAWATY Mardianti, Fitri Maulana Purbaya, Andre Maulana, Fakhri Hassan Meldani Winata Mendrofa, Yuniaman Mochamad Hariadi Monice Monice Mudayanti, An Rini Muhammad Noor Muhammad Rafiadly Muhammad Ricky Chandra Dinata Muhammad Ricky Chandra Dinata Muhammad Trisna Firmansyah Muhammad Umar Muhammad Zikri Muhardi Saputra Muharman Lubis Nanda Jarti Narti Eka Putria Nasihudin, Muhammad Dimas Natasya Kusuma Putri Ngadi Kurniawan Nia Ambarsari Nofriani Fajrah, Nofriani Nopendri Nopendri Nopriadi Nopriadi Nugroho, Angganto Nugroho, Anggianto Nuki Pratama Nurul Azwanti Olin Teresia Praditya Agung Laksmana Prafitasari , Aulya Nanda Pratiwi, Mariska Putri Primadona Putra Kang, Anugerah Putri Nurul Febrina Marbun Putri Pratiwi, Mariska Putri, Annie Mustika Putri, M.Kom, Anggia Dasa Rachmadita Andreswari Raden Henry Heriansyah Rahfy, Rahfy Rahma Arbiananda Fauziah Rahmi Berlianti Rajagukguk, Hidup Perjuangan Ramadhan , Audia Ditsya Ramadhan, Naufal Hanif Ramli, Muhammad Ayyub Ratna Sari Restiani, Lovi Ridwan, Ridwan Rilan Frizkiniki Riska Sintia Dewi Rivero Novelino Robertus Rotama Marbun Robita, Achmad Rozimin Rudi Syaf Putra Sahira Saidil Ambia Saputra, Ega Satria, ROBBY Satrio Wibowo Siahaan, Asnija Elisabeth Sihura, Esther Kristin Silalahi, Sukritno Sinung Suakanto Siregar, Elisa Basaria Soni Fajar Surya Gumilang SUGIYANTO Supeno Mardi Susiki Nugroho, Supeno Mardi Sutoyo, Edi Suwandi, Ahmad Tambunan, Wiridho Partuaon Thasya Ummul Kulsum Thea Anugrah Felicia Tien Fabrianti Kusumasari Tipa, Handra Tri Cahyo, Endar Pradipta Utari, Inayah Dwi Wafiq Azizah Wicaksono, Andhika Widia Wulandari, Febrian Yomima Viena Yuliana Yuliadi Yuliadi Yuliana Dewi Yulya Muharmi Yusran Yusran Yvonne Wangdra Zakky Al Attar Zebua, Ali M Zega, Martinus