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All Journal Quagga Jurnal Teknik Industri Untirta DERIVATIF JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Harmoni Jurnal Sekretari Universitas Pamulang Jurnal Teknik Informatika (JUTIF) PENGABDIAN SOSIAL Jurnal Ilmiah Teknik Informatika dan Komunikasi Nuansa Informatika Jurnal Sistem Informasi Karya Anak Bangsa
Edi Junaedi
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Social Sciences

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
DIGITAL BUSINESS CARD (DiNa) APPLICATION USING CNN ALGORITHM AND OCR TECHNOLOGY AS A FORMAL INTRODUCTION SUGGESTION Edi Junaedi; Syabina Nur Pajriyanti; Muhammad Subali; Adrian Maulama Ramadhan
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2250

Abstract

The rapid development of technology makes digital business cards increasingly the first choice as a formal introduction tool that is more environmentally friendly, reducing dependence on the use of paper and ink. In addition to serving as a formal means of introduction, digital business cards are also an effective medium for conveying crucial information about an individual or company. The implementation phase of this application involves the utilization of Optical Character Recognition (OCR) as the main feature, with image pre-processing as a key step to improve reading accuracy, including noise reduction, data normalization, and compression. The process of optical scanning and location segmentation is the main foundation in processing data from Business Card images. The next step includes feature representation and extraction using TensorFlow's OCR technique to process the data efficiently. The integration of the OCR model into the API allows Kotlin-based mobile applications to communicate directly with the OCR model, providing real-time character recognition. The first trial aims to evaluate the accuracy and time taken by the OCR feature in recognizing each text on the Business Card. Tensorflow and Easy-OCR models with 41.86% accuracy were used for object detection and optical character recognition, resulting in a system that is efficient, responsive, and allows model updates without interrupting the main functionality of the application. The app successfully combines eco-friendly aspects with advanced technology, creating a modern solution to meet the needs of effective formal introductions. Thus, this Digital Business Card application is not only an eco-friendly alternative, but also realizes efficiency in retrieving identification information directly through a mobile platform.
APPLICATION OF THE HAVERSINE DISTANCE METHOD TO THE JOB AND VACANCIES SEARCH SYSTEM IN THE ENTERTAINMENT SECTOR IN INDONESIA Edi Junaedi; Ariyanti, Fransisca Dini
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2138

Abstract

The International Monetary Fund (IMF) projects that the poverty rate in Indonesia will reach 5.2% by 2024, ranking 59th in the world, Indonesia is the country in Southeast Asia with the highest poverty rate. The second highest poverty rate is in 2023. The percentage is projected to reach 5.3% this year. According to the Central Statistics Agency (BPS), in August 2023 the number of open unemployment in Indonesia will reach 7.86 million people, equivalent to 5.32% of the total national workforce. The Philippines will face the highest poverty rate in the region, followed by Indonesia next with a poverty rate of 5.4%. By 2023. this high poverty rate reflects the urgent need to create jobs. Therefore, the author conducted this research with the aim of addressing the problem of high unemployment rates through a centralized platform that offers job search features and vacancies based on the nearest location for job seekers and providers in the entertainment field, which can be accessed anytime and anywhere. The result of this research is an android application that can facilitate and assist in finding or providing jobs. Through this research the author can contribute to the growth of the entertainment industry in Indonesia, creating new income opportunities for individuals with skills that are usually performed on-site such as singers, magicians, comedians, models, presenters, and other talents in the entertainment sector. This study adopts a qualitative approach, uses the prototype method in the development of the application and applies the Haversine method to calculate the distance between two coordinate points. Thus this study can make a positive contribution in addressing the unemployment problem and increasing job opportunities in the entertainment sector in Indonesia.
Co-Authors Adiyati, Nita Adrian Maulama Ramadhan Agus Suradika Agy Pehully Karina Pinem Anugrah Sapto Hadi Ariyanti, Fransisca Dini Azriel Ramadhan Damanik Deni Darmawan Desilia Purnama Dewi Evi Febianti Hanhan Hanafiah Harjoyo Harlis Setiyowati Hasniati Halim Historia S Ika Apriliyanti Ismul Bathni Ismul Bathni Sumadikarta Iwan Muhamad Purnama j-sika Lely Herlina Lisa Wijaya Maulana Ramadhan, Adrian Muhammad Subali Sapto Hadi Sapto Hadi Imambachri Sapto Imambachri Sifailah Fauziah Sugiyarto Sugiyarto Sugiyarto Sugiyarto Syabina Nur Pajriyanti Turkamun Turkamun Waluyo Wulandari, Fithri Yessy Grasseylla Zaenal Abidin