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Developing an NLP-Powered Chatbot Application for MSME Legal Literacy Syarif Hidayatulloh; Lilyani Asri Utami; Hilda Rachmi
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 20, No 1 (2026): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.111460

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in the national economy but often face legal challenges due to limited literacy regarding regulations and lack of access to information. This study aims to develop a legal literacy chatbot application for MSMEs based on Natural Language Processing (NLP) using the Rapid Application Development (RAD) method. The development process was carried out iteratively by involving users to ensure the system meets their needs. System evaluation included Black Box testing, usability testing using the System Usability Scale, relevance testing, and performance testing. The Black Box results showed that all functions ran 100% successfully. Usability testing involving 24 respondents obtained an average SUS score of 71.98, which exceeded the standard threshold of 68, indicating that the application is acceptable and easy to use. Relevance testing showed a high level of answer suitability, while performance testing with GTmetrix produced a Performance score of 87%, Structure score of 92%, a fully loaded time of 2.1 seconds, and a total page size of 0.98 MB. These findings highlight that the chatbot application can provide legal information quickly, accurately, and practically, as well as has the potential to improve the legal literacy of MSME actors.
PERANCANGAN SISTEM INFORMASI PENGGANTIAN UANG PERJALANAN DINAS TECHNICAL SUPPORT MONITORING (SIPUDIN TSMON) PADA TELKOMSAT Wahyu Agung Nugroho; Rachmi, Hilda; Helina Apriyani
Jurnal Publikasi Manajemen Informatika Vol. 1 No. 2 (2022): MEI : JURNAL PUBLIKASI MANAJEMEN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupumi.v1i2.316

Abstract

Telkomsat adalah anak perusahaan Telkom yang mempunyai jangkuan luas di indonesia dalam menyediakan layanan jaringan komunikasi berbasis satelite. Untuk menjamin layanan jaringan komunikasi berjalan baik, Teknisi selalu siap kapanpun dan dimanapun apabila diperlukan adanya perbaikan jaringan. Saat ini penggantian uang perjalanan dilakukan dengan melakukan konfirmasi melalui whatsapp dan penginputan data pembiayaan dinas menggunakan excel yang sulit untuk didokumentasikan secara efektif dan efisien. Masalah lain yang dikeluhkan teknisi terletak pada waktu pengembalian yang lama dan tidak bisa ditentukan serta bukti pelunasan berupa cuplikan layar. Model Prototype adalah metode pengembangan perangkat lunak yang bertujuan untuk mengembangkan model menjadi sistem final. Sistem informasi Penggantian Uang Perjalanan Dinas ini dirancang menggunakan model prototype dengan tujuan mempermudah Teknisi dalam melakukan pengajuan penggantian biaya selama melakukan perjalanan sehingga dapat mengefesiensikan waktu dalam proses pekerjaannya dan menjadi solusi yang tepat dan meningkatkan efesiensi untuk perusahaan
Klasifikasi Pencemaran Udara Di DKI Jakarta Menggunakan Metode Naïve Bayes Hilda Rachmi
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 2 No. 2 (2023): Mei : Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v2i2.2384

Abstract

Air quality index in Indonesia shows Jakarta in 5th position with the highest air pollution. Naïve Bayes is one of the data mining methods that has excellent accuracy with simple calculations in the field of classification learning. In this study, Naïve Bayes is used to classify air quality based on air pollution standard index data in the Special Capital Region of Jakarta within 12 (twelve) months. The processed variables include PM10, PM25, SO2, CO, O3, and NO2. By using accuracy value evaluation data, the results show that Naïve Bayes is effectively used for air pollution classification with an accuracy rate of 91,96%.
PES : PROGRAM E-BOOKING SALON BERBASIS WEB MENGGUNAKAN FRAMEWORK CODEIGNITER Muhamad Ikbal Septiana; Fransisco Fransisco; Arroyan Ilham Nafian; Muhammad Rizal Ahmad; Hilda Rachmi
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 4 No. 1 (2024): Maret : Jurnal Informatika dan Tekonologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v4i1.2648

Abstract

In the modern era, the evolution of the beauty industry, particularly beauty salons, has become a significant part of the demand for personal appearance and preferences. This article discusses the importance of implementing a Web-Based E-Booking System for salons, offering a solution to customers facing relatively long waiting times for salon services. This system aids in providing clear information regarding salon operating hours, price lists, and effectively manages queue numbers when customers visit. Through the application of fundamental website development concepts using technologies like HTML, CSS, PHP, and MySQL, this system enables customers to book services online. Thus, it explores the design, business process analysis, system architecture, and interface ensuring convenience, comfort, and efficiency for both salons and customers.