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All Journal Jurnal Buana Informatika Jurnal Transformatika Sistemasi: Jurnal Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA INOVTEK Polbeng - Seri Informatika Jurnal Teknologi Sistem Informasi dan Aplikasi Indonesian Journal of Computing and Modeling JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Progresif: Jurnal Ilmiah Komputer Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JIKA (Jurnal Informatika) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Malcom: Indonesian Journal of Machine Learning and Computer Science IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Jurnal Indonesia : Manajemen Informatika dan Komunikasi Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Abdimas
Yerymia Alfa Susetyo
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences

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Implementasi Algoritma LSTM pada Aplikasi Optical Character Recognition Berbasis Website Menggunakan Tesseract OCR Setyadi, Alpha Fausta Ikrar; Susetyo, Yeremia Alfa
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 2 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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

Abstract

The practicality of digital document processing has made various companies and organizations switch physical documents to digital. However, the process of extracting data from physical documents manually requires effort and is prone to input errors due to human error. Optical Character Recognition (OCR) technology can be a solution to this problem. OCR is used to recognize letters or characters in an image, and then stored into text data on a computer. In this research, the implementation of OCR technology on a web-based application with Long Short-Term Memory method. Based on accuracy testing, the average error value at the character level is 6.56% and at the word level is 9.98%. From the results obtained, it shows that the application of OCR technology with Long Short-Term Memory method on web applications can be the right solution in the process of extracting data from physical document.
Geospatial API Architecture with Laravel for Agricultural Land Suitability Detection System Susetyo, Yerymia Alfa
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.2844

Abstract

Identification of agricultural land suitability involves a variety of variables that are heterogeneous. The heterogeneity of spatially-based climate and physiographic data is in fact quite complex to solve. Therefore, a spatial-based system architecture that meets the criteria of inclusiveness, collaboration, capacity development, and quick request-response is needed. The research aims to build an API geospatial architecture with Laravel for Agricultural Land Suitability Detection Systems. The geospatial API architecture in this study was built using RESTFul Web services on the Laravel Framework. Simulation architecture involves five nodes as a server and one node as a client. Six main API were produced in this study. Four services are derived from four severs, where services are services related to spatial data (area, altitude, slope, and rainfall). Meanwhile, two other services, relating to conventional information zoning of agricultural land suitability generated by Server 5. The service generated by the last server was successfully implemented on the client-based web-based interactive map application.
Digital Transformation in Religious Organizations: The Application of Data Management for Church in Magelang Fibriani, Charitas; Kristiyani, Dian Novita; Susetyo, Yeremia Alfa; Yulia, Hanita
Jurnal Abdimas Vol. 28 No. 2 (2024): December 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/8mjbj740

Abstract

The Plengkung Javanese Christian Church Synod (GKJP) is one of the Protestant church groups located in several areas on the island of Java. The condition of data recording in GKJP is still done by recording using book media. This causes data inconsistency or redundancy. GKJP also requires data management that can be used to obtain classes for congregation groups according to several needs. This Community Service aims to build the GKJP Magelang City Congregation Information System, where this system will focus on recording congregation data so that it is hoped that the problems of inconsistency and redundancy can be resolved and can utilize the congregation data to obtain certain criteria groups using the classification analysis menu.
Sistem Informasi Geografis Potensi Sumber Daya Kelautan Berbasis Android Pratyaksa Ocsa Nugraha Saian; Raka Arya Pratama; Yerymia Alfa Susetyo
Jurnal Transformatika Vol. 18 No. 2 (2021): January, 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i2.2574

Abstract

Indonesia is the biggest maritime country that has big marine resources too. It needed a good strategy so the marine resource usage can be managed well. Now, it can be helped by using information technology. The purpose of this research is to create a Geographic Information System for knowing potential marine resources in Daerah Istimewa Yogyakarta Coast. The result of this paper is a Geographic Information System that will runs in Android devices. The test results show 82,93% of users already satisfied with this application. It indicates that this application is in a Very Good category.
Co-Authors Adisattrio, Yefta Adiyoso, Wibisono Ajeng Febriana Rahmawati Alpha Adarrani Wibowo Putri Anggraeni, Martina Meita Aryanto, Muhamad Rizky Dhean Audric Tjhoernandes Avrylya, Tessalonica Putry Brian Pratama Putra Cahyo Nugroho Calvin Ravelino Candra Wijayanto Cantika, Berliana Nala Charitas Fibriani Daniswara, Bayu Andy Delfini Tinma Pandoi Dian Novita Kristiyani Dinata, Dimas Ridho Dwi Hosanna Bangkalang Elsie Naresvari Farid Arya Nugraha Fatich, Steven Arycena Firmandicky, Alief Yuwastika Frankie Frankie, Frankie Hanita Yulia Hanusia Manuel Oktrivania Zamili Ivan Andika Surya Josua Ade Saputra Karolus Thias Widagdo Kejora, Cahyo Bintang Laksono Trisnantoro Maulana, Irvan Dhimas Muhammad Fahmi Haryono Adi Nina Setiyawati Oky Dwi Arianto Paseleng, Fatricius Pradipta, Rafael Deandra Pratyaksa Ocsa Nugraha Saian Priwidika Lingga Maheswara Purbaningtyas, Mikha Kurnia Anggi Putra, Muhammad Al Frizal Deva Syach Raka Arya Pratama Ramos Somya Rizky Nandang Pratama Santoso, Wahyu Aji Setyadi, Alpha Fausta Ikrar Syahren Aulia Achsan Tania Rachel Teguh Indra Bayu Valentino, Jonathan Wibisono Adiyoso Wibowo, Andrean Vini Bimo Arya Wicaksono, David Aryo Wijaya, Ricky Arindra Yuichi, Michael Yulius