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All Journal Elkom: Jurnal Elektronika dan Komputer Jurnal Transformatika AGRICOLA KREDO : Jurnal Ilmiah Bahasa dan Sastra Jurnal Agro Industri Perkebunan Jurnal Kreativitas PKM Agroplantae: Jurnal Ilmiah Budidaya dan Pengelolaan Tanaman Perkebunan Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Jurnal Agrotropika MEANS (Media Informasi Analisa dan Sistem) Jurnal Teknologi Informasi dan Komunikasi Teknik: Jurnal Ilmu Teknik dan Informatika ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Journal of Engineering, Electrical and Informatics (JEEI) Sehat Rakyat: Jurnal Kesehatan Masyarakat INFORMATIKA Sajak: Jurnal Penelitian dan Pengabdian Sastra, Bahasa, dan Pendidikan Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Publikasi Ilmu Komputer dan Multimedia Jurnal Teknik Informatika dan Teknologi Informasi Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat Journal of Technology Informatics and Engineering Majority Science Journal Agritrop : Jurnal Ilmu-Ilmu Pertanian (Journal of Agricultural Science)
Priyadi Priyadi
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Journal : Elkom: Jurnal Elektronika dan Komputer

 1 
SISTEM INFORMASI ADMINISTRASI PEMBAYARAN SEKOLAH TERINTEGRASI BARCODE READER DENGAN METODE BERORIENTASI OBJEK BERBASIS CLIENT SERVER Priyadi Priyadi; Budi Santoso
Elkom : Jurnal Elektronika dan Komputer Vol 15 No 2 (2022): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v15i2.901

Abstract

Recording financial transactions is an important activity that must be carried out by a business. In accounting, recording financial transactions is a fundamental thing that must be done. With these records, all business financial transactions can be accounted for and brought to the financial statements. Computerized technology using barcodes in payment transactions has the aim of increasing speed, accuracy, and service quality. In carrying out payment administration activities still using the manual system will have an impact on the Administrative officer having difficulty finding data on students who want to pay and the network (LAN) has not been implemented on the computer is also a problem at the research site, because to share data with the treasurer and principal becomes constrained, data can be damaged, lost or misused because its security is not guaranteed. In solving these problems, the researchers collected data and facts that existed at the research site, then designed a payment administration information that was in accordance with the needs of the school. In making Administrative Information System Integrated With Barcode Reader, researchers used Microsoft Visual Basic 6.0 programming language, MySQL Server database as data storage media and Subtime Text as tools to create source code. In the preparation of this application using object-oriented methods.
Mengoptimalkan Proses Pembersihan Data dalam Analisis Big Data Menggunakan Pipeline Berbasis AI Santoso, Lukman; Priyadi Priyadi
Elkom: Jurnal Elektronika dan Komputer Vol. 17 No. 2 (2024): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i2.2311

Abstract

This study aims to develop an automated pipeline for data cleaning using Pandas and Scikit-learn. The data cleaning process is often performed manually, requiring a long time and prone to errors. This study uses a quantitative experimental method with a dataset of 100,000 rows of e-commerce transaction data. The results show that the automated pipeline reduces missing values by 95.7% and outliers by 91.7%, and accelerates processing time by 35% compared to manual methods. The distribution of data after cleaning becomes more stable, allowing for more accurate analysis. This study contributes to the development of a more efficient and accurate automated data cleaning approach.Keywords: Systematic Literature Review, Artificial Intelligence and Marketing Strategy.
Co-Authors Agus Priyadi Agustinus Budi Santoso Ahmad Suadi Ahmad Zaenudin Ahmad Zainudin Alber, Alber Ambarsari, Ambarsari Andik Prakasa Hadi Andika, Robby Asnawi Asnawi Asnidar Asnidar Auliahaq, Dafa Agta Buana, Arum Sekar Budi Santoso Danang Danang Daniel Rudjiono Dendy Kurniawan Denny Sudrajat Diyas Adikrisna Dulbari, Dulbari Eko Sediyono Elvi Sunarsih Erni Erni Haris Ihsanil Huda Holil, Maskur Imaliya, Tri Indra Ava Dianta Intan Kumalasari Julaeny Mia Anggraeni, Anggraeni Kamsul, Kamsul Kuncoro, Wreda Agung Kusumajaya, Robby Andika Lukman Santoso Lukman, Santoso Maemonah, Maemonah Maksuk Marcus Gunadi Wibawa Maya Utami Dewi, Maya Utami Mohammad Kanzunnudin, Mohammad Muhamad Syarifudin Mukhlis, Muhammad Murtono Murtono Nadiavalen Faradhomas , Qonnas Navianti, Diah Nuris Dwi Setiawan Priyadi , Agus Putri, Sherly Pradipta Arshyindi Rahmadi, Rizky Regista Lidyani Rejeki , Rara Sri Artati Reni Veliyanti Rochman, Fajar Rusito S Siswanto Saputra T, Fider Sepmiarti, Intan Setiyo Adi nugroho Shomary, Sudirman Silvani, Rafli Sopianti, Maya Sri Yulianto Joko Prasetyo subarjo, Subarjo Sutarsa, I Ketut Teguh Setiadi Titi Christiana Wardani, Oki Puspita yatmin, yatmin Yuliawan, Tri