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SAINTEK
Published by Universitas Pelita Bangsa
ISSN : -     EISSN : 29623545     DOI : 10.37366/SAINTEK
Core Subject : Science, Engineering,
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering
Prosiding Sains dan Teknologi (SAINTEK) merupakan wadah publikasi dari hasil penelitian yang telah dipresentasikan pada Seminar Nasional Sains dan Teknologi (SAINTEK) yang diselenggarakan setiap tahun oleh Fakultas Teknik Universitas Pelita Bangsa. Penelitian yang dipublikasikan bersifat multi-disiplin dalam ruang lingkup Teknik tentang analisa dan implementasi perkembangan teknologi. 
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 355 Documents
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Penerapan Algoritma Fuzzy C-Means Untuk Pengelompokan Data Penduduk Miskin Di Indonesia Berdasarkan Kabupaten dan Kota Ayu Indriyanti; Agung Nugroho; Ikhsan Romli
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/SAINTEK0101.141146

Abstract

Poverty is a central issue for every country in the world, especially for developing countries. In Indonesia, poverty has become a phenomenon and fact, one of the problems that has not been resolved until now by both the central government and the regional government. Difficulties in determining which regions experience the highest and normal poverty levels and areas with low poverty levels, a method is needed to help this problem. One of them is data mining using clustering techniques. Clustering is a method used to group data based on the similarity of the data. In analyzing partition-based clusters, the Fuzzy C-Means (FCM) algorithm is an algorithm that has been widely used to solve data clustering problems. The variable in this study is the number of poor people based on regencies and cities in Indonesia from 2015 to 2017. These variables are used to obtain categories from each cluster formed. From the results of the analysis carried out, it can be concluded that three regencies and cities can be grouped: cluster 1 consisting of 39 districts / cities with high poverty levels, cluster 2 consisting of 368 districts / cities with low poverty level categories, and cluster 3 having members 107 districts / cities with moderate poverty levels. And from the DBI value obtained in the FCM algorithm is equal to 0.524 which means that with this value the cluster in the algorithm that is formed can be said to be good or optimal because the DBI value is close to 0. Keywords: Clustering, Poverty Data, Fuzzy C-Means, Davies-Bouldin Index
Penerapan Algoritma K-Medoids Dalam Klasterisasi Penjualan Laptop Abizar Ar Rifa’i Rifa’i; Muhamad Fatchan; Nanang Tedi Kurniadi
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/SAINTEK0101.147158

Abstract

Technological developments have made the use of laptops a basic necessity that must be owned to assist in completing a job as a substitute for a PC (Personal Computer). Along with technological advances, many laptop brands have sprung up, from each brand to launch laptops with various advantages. This has resulted in more and more emerging various types of laptop brands that compete with each other to be able to meet the needs of today's consumers. Therefore there must be a system that can provide advice or laptop recommendations in searching for references. This study aims to classify laptop sales data using the k-medoids clustering algorithm data mining method. laptop sales data are grouped based on the similarity of the data so that data with the same characteristics will be in one cluster. Based on the calculations that have been carried out by researchers on 1000 sample data, it can be categorized into 3 clusters. cluster 1 is a category of low laptop sales, which is 137 data, then cluster 2 is a category of high laptop sales, which is 669 data, and cluster 3 is a category of medium laptop sales, which is 194 data from 1000 categories of laptop sales. It can be concluded that the grouping of laptop sales data in cluster 2 is the most widely sold because the specifications and prices of laptops are more affordable than cluster 1 and cluster 3. And it has been tested using the Rapid Miner application with the same results as manual calculations using Microsoft Excel. Keywords: K-Medoids, Clustering, Laptop Sales
Penerapan Data Mining Menggunakan Algoritma Fp-Growth Untuk Menganalisa Pola Penjualan Obat (Studi Kasus : Klinik Anissa) Muhtajuddin Danny; Syaiful Umam
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/SAINTEK0101.159164

Abstract

Anissa Clinic is a health service located in South Cikarang. At Anissa Clinic, there are many sales and purchases of drugs. Transaction data will continue to grow every day and in the pharmacy the sales transaction data is only stored as an archive or bookkeeping and it is not known what the benefits of these data are. For this reason, it is necessary to do an analysis using data mining to generate information in increasing sales at Anissa Clinic. The purpose of this study is to determine consumer buying patterns by looking for linkages of items that come out together, with the data mining method used in this study is the association rule method. Association is one of the data mining techniques from the Fp-Growth algorithm which functions to find relationships between products in consumer shopping carts. Keywords: Anissa Clinic, Data Mining, Association Rules, Fp-Growth Algorithm.
Penerapan Data Mining Untuk Klasifikasi Kepuasan Pelanggan Transportasi Online (Ojek Online) Menggunakan Algoritma C.4.5 Suherman Suherman; Donny Maulana; Vivi Mustikaningtyas
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/SAINTEK0101.165175

Abstract

Human activities to meet their daily needs and needs, both at work, or just for a walk. So, this needs to be supported by adequate transportation. With the development of technology today there are applications that introduce motorcycle taxi booking services using technology and use service standards. In Indonesia there are many motorbikes, which also function as general vehicles, namely transporting people / goods. Currently there are many online transportation service providers (online motorcycle taxi) known as Go-Jek, Grab, and Uber. Customer satisfaction input attributes in this study include price, facilities, service and loyalty. Data mining is a series of processes to explore added value in the form of information that has not been known manually from a database. In this study it is expected to help the online transportation services in increasing customer satisfaction. Based on the results of the classification using C4.5 algorithm shows that the accuracy reached 75.33%, which shows that the C4.5 algorithm is suitable for measuring the level of satisfaction of online transportation. Keywords: Satisfaction of online transportation, Data Mining, Algoritma C.4.5
Penerapan Data Mining Untuk Mempermudah Produksi Diapers Dengan Menggunakan Algoritma Regresi Linier (Studi Kasus Pada PT. Sinergi Adimitra Jaya Cibitung, Bekasi) Tahyani Tahyani; Aswan S Sunge; Miftah Wangsadanureja
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/SAINTEK0101.176179

Abstract

Diapers manufacturers are competing to make improvements while at the same time finding the latest formulas, it can be seen by the many brands/types of diapers on the market. Likewise, the material used by the company must import high quality materials. Material usage prediction activities are often things that must be considered so that the production and inventory processes run smoothly. So that how the calculation or estimation process can be calculated manually and with the help of the RapidMiner application or tools. Estimation methods used in Data Mining include the Linear Regression Algorithm. The test results on the SAP B material prediction, it is known that the error presentation rate using the MAPE formula is known to be 8.27% or an accuracy rate of 91.3%. Then the Linear Regression method can be used to predict material requirements quickly and efficiently. Keywords: Data Mining, Linear Regression, RapidMiner
Penerapan Location Based Service Pada Absensi Karyawan Berbasis Android Dengan Metode OOAD Annisa Saraswati; Wiyanto Wiyanto; Edora Edora
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/SAINTEK0101.180186

Abstract

One of the technological developments that can be applied within the company is employee attendance activities, and along with the growth of current technology, smartphones are used as a tool to support human activities. This study aims to implement an employee attendance system automation using an Android- based location based service. This application allows employees to more easily take attendance and apply for permission to be absent from work. This application was developed using the OOAD (object oriented analysis and design) method designed using UML (unified modeling language) and a Java-based programming language. The process of testing this application uses black box testing. The research was conducted by collecting data through observation and interviews with related parties at PT. Higashifuji Indonesia. Keywords: Attendance, Android, Location Based Service, OOAD
Penerapan Model Internet Of Things Pada Pelaku UMKM Di Kabupaten Bekasi Hamzah Muhamad Mardi Putra Putra; Arief Teguh Nugroho
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of Internet Technology in the business world and the industrial world took place very quickly in the modern and post-millennial era , namely after the 2000s. Technology has generally made our lives simpler and more practical with the term world in the palm of your hand just by mastering Technology and the Internet. . Several technological model innovations such as the Technology Acceptance Model (TAM) and technology readiness index (TRI), especially the development of social media technology for user, can help business development. The purpose of this study is to identify the use of technology and analyze the influence of technology and the internet on the use of social media on Micro, Small and Medium Enterprises in the District Bekasi. The output of this research is the implementation of IoT-based technology on Micro, Small and Medium Enterprises in Bekasi Regency. The application of technology and the Internet to Micro, Small and Medium Enterprises can provide convenience and usefulness when running a business in the era of globalization and modernization. In order to be a sustainable solution, this IoT-based technology model will be patented to make it easier for user to adopt technology so that socio-economic improvements occur. Keywords: IoT, Technology Acceptance Model, medium Entreprises
Pengembangan Sistem Informasi Jadwal Penerimaan Barang Masuk Logistik Pada PT. Food Beverages Indonesia Dengan Metode Waterfall Suhardi Suhardi
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Warehousing is part of a company's logistics system which has the main activity of receiving, storing and shipping goods. The information system applied to warehousing at PT. Food Beverages Indonesia still has shortcomings, including the lack of information regarding the schedule for receiving incoming goods from a more specific local area. Then the problem of information regarding the unloading process that is not in accordance with the existing provisions in the warehouse so that this lack of information causes the service to be delayed, both warehouse operators and related parties in the warehousing department. In this final project, a system analysis is carried out to design a web application for receiving information systems. With the application of a web-based system, it is hoped that it can overcome the problems that exist in the company in the warehousing section, because through this new system information can be accessed directly from anywhere as long as there is internet. Warehouse reporting is also directly integrated from existing data so that it can manage data quickly, precisely and accurately. This application can be used by PT. Food Beverges Indonesia, especially the reception staff, takes an inventory of the products in the warehouse. Inventory includes recording, processing and reporting of data in the warehouse. The application is built using the waterfall model process method, PHP programming language, MySQL database. The design of the warehousing information system produces inputs and outputs that support the performance of the warehouse. Keywords: logistics, schedule, acceptance, information system, PHP, MySQL, Waterfall.
Pengembangan Sistem Informasi Transaksi Penjualan Dan Pembelian Pada Udmandiri Berbasis Web Menggunakan Metode Usecase Driven M. Imam Yahya; M Najamuddin Dwi Miharja
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This final project describes the sales and purchase transactions at UD Mandiri Using the Waterfall method and Usecase Driven as a method of developing the system with the PHP 7 programming language, Usecase, ERD and data normalization which contains an explanation of how to analyze the data and information obtained, the current system is still using a manual work system so that a lot of data is not updated, resulting in inventory often running out without realizing it, from the results of observations and information obtained from the UDMandiri business owner, the author applies it in digital form or computer automation, where all activities buying and selling transactions are carried out automatically, making it more effective and efficient. Keywords: Sales system, Use case driven, UML, Web, PHP
Perancangan Sistem Informasi Kependudukan Menggunakan Metode Waterfall Pada Desa Jatibaru Berbasis Web Ivan Reynata; M. Syaibani Anwar; Edora Edora
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In daily operational activities, the Jatibaru Village government performs several ways of archiving files, namely by conventional archiving for document files and using Microsoft Word for making correspondence. Meanwhile, the process of managing these files is done by manual writing on the agenda book, both physical document files and files in the form of files. In addition, if the village archive officer is not present, the letter request process is disrupted because the archive data is on a computer that can only be opened by the archive officer. This study uses the waterfall method to design a population data information system and request letters to web-based villages using PHP and MySQL. With the development of this system, the village office can record data on its villagers, especially Jatibaru Village, so that with accurate citizen data in the database it can be used for further information system development. Requests for letters to villages such as Certificates of Incapacity, Domicile Letters, Birth Certificates and others can be requested online by residents who have been registered at the village office, thereby speeding up the service process and facilitating the performance of village archive officers in serving the community, especially requests for letters from Village residents. Jatibaru, so that services at the Village Office can be maximized and fast. Keywords: Population data, Documents, Mail request system, Waterfall, PHP Mysql

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