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Amat Basri
Universitas Buddhi Dharma
Computer Science & IT

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SIMULASI PENERAPAN TEKNOLOGI FACE RECOGNITION PADA APLIKASI PENDATAAN KEHADIRAN KARYAWAN / KARYAWATI TERINTEGRASI E-MON SISTEM PENGGAJIAN DENGAN PENDEKATAN EIGENFACE DAN UXD LARAVEL VERSI 5.6 BERBASIS CLOUD SERVICE Raditya Rimbawan; Suharyanti Suharyanti; Amat Basri
Jurnal Pepadun Vol. 2 No. 1 (2021): April
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (840.747 KB) | DOI: 10.23960/pepadun.v2i1.39

Abstract

Abstract — Face recognition is a face-oriented recognition method by comparing patterns that have previously been stored in the database. In general, facial image recognition systems are divided into two types, namely feature based systems and image based systems. To carry out facial image recognition, there are several kinds of approach algorithms that can support the processing of the face image. One approach algorithm that is well known and capable of processing images with a good level of accuracy is the eigenface approach. By using the eigenface approach, the face image will be processed by performing a matrix calculation, which results in an eucludian distance to be able to get the suitability of the face image. so this research produces a result which includes: the results of the test on the FGD Functional says for the accepted percentage is: 73% for not accepted is 27%, for Non-Functional FGD says for the accepted percentage is 82% and not accepted is 18 %, and for the results of testing the adaptation of ISO 9126 in the good category with a percentage result of 79%, and the last test result, namely the Blackbox Testing test to be accepted is 83% and for the results the percentage that is not accepted is 17%
Information of System Monitoring by Network Oparation Center Amat Basri; Alexius Hendra Gunawan
Tech-E Vol 4 No 2 (2021): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v4i2.533

Abstract

Network Operation Central (NOC), an Enterprise Service Division which functions to carry out monitoring and supervision activities of Telkom network equipment located at Plaza Indonesia. Customer satisfaction is the basis and goal that is always hoped for by customers, by carrying out maintenance activities of network devices, and carrying out solutions when problems occur in customers are expected to be an efficient and effective service quality standard. This study wants to know that the construction of a monitoring system for NOC work activities can improve service quality. The quality of this system can be measured using the ISO9126 model, by adapting four characteristics of software quality: functionality, reliability, usability, and efficiency. The system development model uses the Rapid Application Development (RAD) and Joint Application Development (JAD) models. Researchers will analyze and design the system using the Unified Model Language (UML), then by coding with PHP programming and MySQL databases, and data collection using a questionnaire, and system testing using the Blackbox Testing model. Based on testing using ISO 9126 the results are functionality (80%), reliability (79%), usability 86%), and efficiency (79%). Overall the result was 81% (good).
Customer Relationship Management Information System in Medika Lestari Hospitals Tugiman Tugiman; Amat Basri; Benny Daniawan
Tech-E Vol 3 No 2 (2020): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (508.761 KB) | DOI: 10.31253/te.v3i2.324

Abstract

Marketing strategies based on efforts to create relationships between companies and customers are better known as Customer Relationship Management (CRM). CRM is a corporate strategy used to pamper customers so they don't look away. This study wants to find out and improve relations between hospitals and patients. Besides that, by building this system, can it affect customer / patient satisfaction. The quality of information systems is measured using the ISO 9126 model by adapting four characteristics of software quality: Functionality, Reliability, Usability, and Efficiency. The system development method uses the Rapid Application Development (RAD) model. Researchers will conduct system analysis and design using the Unified Model Language (UML), then coding with the PHP programming language and MySQL database, as well as collecting data using a questionnaire, and testing the system using the Blackbox Testing model. Based on testing using ISO 9126 the results are functionality (83%), Reliability (86%), Usability (87%), and Efficiency (83%). Overall the results are 85% (very good).
Analisis dan Perancangan Sistem Informasi Pendaftaran Online Seminar & Workshop Berbasis Website Kevin natanael; Tugiman Tugiman; Amat Basri
ALGOR Vol 2 No 2 (2021): Mix Technology
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v2i2.546

Abstract

Kemajuan teknologi informasi saat ini juga di terapkan pada sistem pendaftaran seminar dan workshop secara online. Penerapan sistim pendaftaran online berbasis web diharapkan dapat mempermudah proses pendaftaran seminar, menghindari kesalahan dalam penginputan nama, dan mudah dalam memberikan informasi jadwal yang berupa notif, serta memudahkan panitia dalam mengumpulkan data pendaftar. Selain itu juga memudahkan penyimpanan data dalam database, yang memerlukan tinggal diberikan hak akses, dan pencetakan e-sertifikat. RAD (Rapid Application Development) bersifat incremental terutama untuk waktu pengerjaan yang relatif pendek. Dalam penerapannya menekankan pada proses perencanaan singkat dengan menitikberatkan pada proses pengembangan perangkat lunak yang terdiri dari pengembangan, pengujian dan umpan balik. UAT (User Acceptance Test) merupakan salah satu komponen penting dalam suatu pengujian sistim, hal ini untuk mengetahui penerimaan oleh pengguna awam. Pengujian menggunakan metode pengujian UAT, diperoleh hasil bahwa program ini diterima oleh pengguna dengan persentase rata-rata dari keseluruhan adalah 86,6%.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI PENJUALAN PADA PT BUANA MERDEKA JAYA BERBASIS WEB Hendri Goutama; Amat Basri
ALGOR Vol. 4 No. 1 (2022): System and Engineering
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v4i1.1529

Abstract

Sistem informasi penjualan merupakan hal yang sangat penting untuk mengetahui segala yang kita butuhkan mengenai penjualan. Penelitian ini dilakukan pada PT Buana Merdeka Jaya yang merupakan perusahaan yang menjual suku cadang untuk kendaraan bermotor dan mobil. Dimana pencatatan transaksi penjualan yang terjadi masih manual dengan menulis langsung di buku catatan penjualan yang membuat kesulitan saat kita ingin mencari data penjualan yang terdahulu sehingga tidak efektif. Untuk mengatasi inefisiensi ini, dikembangkan sistem informasi penjualan berbasis web yang memudahkan pengguna untuk memasukkan transaksi penjualan dan mencari data historis penjualan masa lalu. Pembangunan sistem informasi ini mengikuti metodologi Waterfall, dan sistem berbasis web menggunakan fondasi bootstrap yang ditulis dalam PHP dan database MySQL. Pengujian Black Box digunakan untuk menguji fungsionalitas sistem ini. Sistem informasi penjualan membantu merampingkan pencatatan transaksi bisnis.
Implementation of Random Forest Algorithm on Palm Oil Price Data Arif Rahman Hakim; Dewi Marini Umi Atmaja; Amat Basri; Muhamad Syafii
Tech-E Vol. 6 No. 2 (2023): The Tech-E Journal Vol. 6 No. 2 publishes research papers in such informatics:
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v6i2.1757

Abstract

One of the potential commodities that are widely cultivated in Indonesia is palm oil, and palm oil or commonly referred to as palm oil is one of the processed products of palm oil which generates the most important foreign exchange for Indonesia. Data mining is a process that utilizes mathematical techniques, statistics, artificial intelligence, and machine learning techniques to extract and identify useful information and related knowledge from large databases [3], including palm oil price data. Random Forest is one of the methods in the decision tree. A decision tree is a flowchart shaped like a tree with a root node that is used to collect data that is used to solve problems and make decisions. In this study, a random forest algorithm was used to classify palm oil price data from 2014 to 2019. The classification method used the random forest algorithm on palm oil data using the Mtry parameter of 1 and the Ntree parameter of 500 resulting in an accuracy percentage of 100%. The most influential variable (importance variable) in the classification model using the resulting random forest algorithm is the palm oil variable.
Co-Authors Alexius Hendra Gunawan Arif Rahman Hakim Benny Daniawan Dewi Marini Umi Atmaja Hendri Goutama Kevin natanael Muhamad Syafii Raditya Rimbawan Suharyanti Suharyanti Tugiman Tugiman Tugiman Tugiman