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All Journal Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi Buana Information Technology and Computer Sciences (BIT and CS) Jurnal Informatika Teknologi dan Sains (Jinteks)
Eko Pramono
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering

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Pengembangan Sistem Informasi Perpustakaan Dengan Internet Of Thing Menggunakan Perangkat Radio Frequency Identification Berbasis NodeMCU Eko Pramono; Maliah Andriyani; Jamaludin Indra
Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi Vol 5 No 2 (2020): Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi
Publisher : Teknik Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/technoxplore.v5i2.1229

Abstract

Pengelolaan sirkulasi buku pada perpustakaan UBP Karawang telah menggunakan sistem manajemen perpustakaan yang bersifatopen source. Sirkulasi buku sering kali tidak berjalan baik karena sering terjadi kehilangan buku. Susunan buku pada rak tidakberdasarkan klasifikasinya, terjadi antrean saat proses peminjaman dan pengembalian buku. Maka penelitian ini dibuat berdasarkanperkembangan teknologi saat ini banyak yang dikembangkan salah satunya yaitu Radio Frequency Identification (RFID).Pengembangan sistem informasi dengan perangkat RFID akan meningkatkan kualitas pelayanan. Mengatasi antrean yang terjadipada peminjaman dan pengembalian buku lalu dapat mengidentifikasi buku pada rak. Perancangan alat RFID sebagai masukan danNodeMCU melakukan proses pembacaan lalu memperoleh keluaran berupa informasi pada tag RFID. Aplikasi pengembangansistem untuk membantu melaksanakan proses sirkulasi buku juga menjadi output dalam sebuah perancangan. Terdapat teknologiInternet Of Thing berfungsi untuk mentransfer data melalui jaringan. Merancang web application development dan web applicationexisting dilengkapi dengan penerapan Client URL (URL) untuk menerima dan mengirim data. Pengembangan sistem informasidengan IOT menggunakan perangkat RFID berbasis NodeMCU untuk proses pendataan buku baru, peminjaman buku danpengembalian buku. Sistem dan perangkat alat dilakukan berdasarkan dengan prosedur penelitian dan memperoleh hasil bahwateknologi IOT dengan perangkat RFID dan NodeMCU berhasil diterapkan pada sistem informasi perpustakaan. Keberhasilanpembacaan tag sebesar 72,22%.
Futsal Field Management Information System based on Android in 212 Galuh Mas Karawang Eko Pramono; Saepul Aripiyanto; April Lia Hananto
Buana Information Technology and Computer Sciences (BIT and CS) Vol 2 No 1 (2021): Buana Information Technology and Computer Sciences (BIT and CS)
Publisher : Information System; Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (649.483 KB) | DOI: 10.36805/bit-cs.v2i1.1246

Abstract

This futsal field booking application is used to make it easier for tenants to know the empty futsal court schedule, to provide convenience in the process of renting a futsal field schedule without having to come directly to the futsal venue. Making this application is done by the System Development Life Cycle Method. This application is implemented with the Codeigniter framework, PHP programming language, MySQL database as a data storage medium and testing methods using black box testing. As for the futsal field schedule rental uses Gammu and modem as media. This application can be used by 3 users, namely admin, provider and tenant. Admin can do provider approval. Providers can process field data, rental rates, tenants, bookings, payment confirmations, galleries and providers. Tenants can book via Mobile and see available field schedule information, activation and payment confirmation
Application Of Recapitulation And Staff Performance Assessment Using Standard Working Method Agustia Hananto; Eko Pramono; Baenil Huda
Buana Information Technology and Computer Sciences (BIT and CS) Vol 3 No 1 (2022): Buana Information Technology and Computer Sciences (BIT and CS)
Publisher : Information System; Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (931.697 KB) | DOI: 10.36805/bit-cs.v3i1.2047

Abstract

Employee performance evaluation or appraisal is needed to assess company employees' work achievement or work performance against the given target within a specific time. The purpose of the study was to analyze the method of recapitulation and staff performance appraisal and create a design model for the application of recapitulation and staff performance appraisal. The research method used is qualitative research, where data collection is done using observation and interviews. Application development based on the iterative waterfall method accommodates the recapitulation process and employee performance appraisal. The benefits of the research carried out are to determine the impact of information delays and speed up the recapitulation process and the performance appraisal itself. Every month, information regarding work achievements is presented in an application that each employee can see. The final results of the recapitulation and assessment in the form of total values and ratios of work achievement are expected to facilitate the head of the department in making decisions
SELEKSI ATRIBUT PADA DATA TIDAK SEIMBANG NASABAH KOPERASI DENGAN OPTIMASI SMOTE DAN ADABOOST Richky Faizal Amir; Andreyestha; Imam Nawawi; Andi Taufik; Eko Pramono; Fajar Akbar
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 3 (2023): EDISI 17
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i3.2757

Abstract

The credit procedure is the provision of credit on the basis of the bank's belief in the ability and ability of the customer to repay. In this study, the customer data tested was divided into 3 classes, namely 39 LOW customers, 84 MEDIUM customers, and 11 HIGH customers. Unbalanced datasets are pre-processed using the Synthetic Minority Over-sampling (SMOTE) technique. Classification methods such as Random Forest and Support Vector Machine will test cooperative customer data. The data is tested based on the attribute that has the highest matching value using the Particle Swarm Optimization method, this test is also optimized with the Adaboost method to increase its accuracy. The results of tests carried out using the Random Forest method obtained an accuracy of 89.05% and the Support Vector Machine algorithm obtained an accuracy of 81.75%. Meanwhile, testing with two methods optimized with Adaboost showed an increase in accuracy with Random Forest getting 91.24% accuracy and Support Vector Machine getting 82.48% accuracy. The highest accuracy in the cooperative customer data classification test was obtained from the Random Forest algorithm which was optimized with Adaboost at 91.24%
Co-Authors Andi Taufik Andreyestha Andreyestha April Lia Hananto Baenil Huda Fajar Akbar Hananto, Agustia Imam Nawawi Indra, Jamaludin Maliah Andriyani Richky Faizal Amir Saepul Aripiyanto