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All Journal Indonesian Journal of Electronics and Instrumentation Systems Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal CoreIT Jurnal SOLMA Jurnal TAM (Technology Acceptance Model) Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Informasi dan Komputer IJISCS (International Journal Of Information System and Computer Science) Jurnal Cendikia CCIT (Creative Communication and Innovative Technology) Journal JUSIM (Jurnal Sistem Informasi Musirawas) Applied Technology and Computing Science Journal Journal Software, Hardware and Information Technology Jurnal Algoritma Universal Raharja Community (URNITY Journal) RISTEC : Research in Information Systems and Technology Jurnal Teknologi dan Informatika (JEDA) Abdi Akommedia : Jurnal Pengabdian Masyarakat Journal of Information Systems Management and Digital Business Journal of Social Science Utilizing Technology Laporan Upaya Nyata Inovasi Ilmu Komputer (LUNIK) Journal of Social Science Utilizing Technology Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Jurnal TAM (Technology Acceptance Model) IJISCS (International Journal of Information System and Computer Science) Journal of Technology and Data Science
Hilda Dwi Yunita
Universitas Mitra Indonesia
Religion Aerospace Engineering Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Neuroscience Physics Social Sciences Transportation Other

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DEVELOPMENT OF E-LEARNING APPLICATIONS AS A MEANS OF ONLINE LEARNING IN SMP AL AZHAR 1 BANDAR LAMPUNG Satrianah Satrianah; Hilda Dwi Yunita
Jurnal TAM (Technology Acceptance Model) Vol 11, No 1 (2020): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v11i1.857

Abstract

In current teaching and learning activity on SMP Al Azhar 1 Lampung's Port, tutorial material application by teacher is done by use of conventional method.  In students appreciative data processing be done by use of calculator then menginput assesses student into excel's file then printed by that point data then that point data is kept in schooled cabinet so at alarms its happening lose point and damage data on students appreciative data. Base that thing therefore needed Application Development E Learning  As Medium Of Learning Online  at SMP Al Azhar 1 Lampung's Port. Base observational result in analyse Application Development E Learning  As Medium Of Learning Online  at SMP Al Azhar 1 Lampung's Port by use of system scheme utilize that web waters down deep implementation process and Application Development E Learning  As Medium Of Learning Online  at SMP Al Azhar 1 Lampung's Port.
SISTEM PAKAR UNTUK MENGANALISA PENYAKIT TANAMAN PADI BERDASARKAN GEJALA MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB Hilda Dwi Yunita; Rio Idha
Jurnal TAM (Technology Acceptance Model) Vol 10, No 1 (2019): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v10i1.666

Abstract

Many cases of rice farmers have difficulty coping with various types of diseases due to lack of knowledge and rarely counseling about the types and characteristics of rice diseases and how to overcome them. and the disease can cause losses to rice farmers. To overcome the above problems, the need to build a system that acts as a tool for rice farmers to analyze diseases that attack rice plants. The system in question is an expert system. The method used is Forward Chaining. From the results of the study, this system of rice disease experts was able to analyze the disease of rice plants based on their symptoms as a substitute tool for an expert. But for the results of the diagnosis can not provide solutions or suggestions that are really appropriate in handling it.
INFORMATION SYSTEM OF GOODS SALES AND SUPPLY IN CV. TASMA JAYA BANDAR LAMPUNG Hilda Dwi Yunita
IJISCS (International Journal of Information System and Computer Science) Vol 2, No 1 (2018): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v2i1.548

Abstract

Processing of disposal and supply goods data in CV. Tasma Jaya Bandar Lampung is used manual way and without computerized system, so it often caused mistaken in its disposal entry. Based on this case, technique for researched used were observation, interview, and refference study. Problem solving for that case through implementation the disposal, supply, report of disposal transaction information system. Based on the result, any new disposal and supply for revise the old system that has many deficiency.
Evaluasi Keterlibatan Mahasiswa Dalam Lingkungan Pembelajaran Daring Menggunakan Natural Language Processing (NLP) dan Analisis Sentimen Hartantom, Budi; Yunita, Hilda Dwi; Fahurian, Fatimah; Dirayati, Fadhilah; Winarko, Triyugo; Marliana, Iin
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.2154

Abstract

This research aims to evaluate student engagement in online learning environments using Natural Language Processing (NLP) and sentiment analysis. The research method involves text analysis of student interactions on a Learning Management System (LMS) platform, including discussion forums, comments, and messages. NLP techniques were used to identify patterns of student engagement, while sentiment analysis assessed the emotions contained in the interactions, including positive, negative, or neutral sentiments. The results show that student engagement can be effectively measured through this analysis, as well as providing an overview of engagement patterns and the factors that influence them. The findings are expected to be used to improve the quality of online learning.
Optimization of Student Grade Data Management Using RESTful API and Microservices Architecture : Case Study at Universitas Mitra Indonesia hartanto, M. Budi; Fawaati, Teuku Muhammad; Fahurian, Fatimah; Yunita, Hilda Dwi; Zuhri, Khozainuz
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i2.3603

Abstract

The management of student grade data is a critical component of academic information systems that require high efficiency and reliability. At Universitas Mitra Indonesia, the old monolithic system faced challenges in scalability, security, and accessibility. This study proposes the implementation of RESTful API and microservices architecture to optimize the management of student grade data. RESTful API serves as the primary interface for inter-service communication, while microservices allow for independent management of modules such as user authentication, grade data processing, and academic service provision. Implementation results demonstrate a 35% increase in data access speed, a 25% reduction in server load, and enhanced security through token-based authentication. This study significantly contributes to modernizing academic information systems, especially in improving the performance and scalability of digital academic services.
Big Data Processing with Neural Networks on RESTful API for Product Recommendation Using Python hartanto, budi; Fahurian, Fatimah; Dwi Yunita, Hilda; Winarko, Triyugo
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 11, No 1 (2025): June 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/coreit.v11i1.34704

Abstract

The exponential growth of e-commerce data has created an urgent need for efficient and scalable systems that provide personalized product recommendations. This study addresses that challenge by integrating big data processing with neural networks and delivering recommendations via RESTful APIs. The primary objective is to develop a system capable of handling large datasets and providing real-time recommendations to enhance user engagement. The methodology involves using Apache Spark for distributed big data processing and feature engineering, followed by the implementation of neural networks in Python using TensorFlow to generate recommendations. The system integrates the model with a RESTful API to support seamless interaction with external applications. Extensive testing was conducted on a dataset containing over a million user-item interactions to evaluate performance and scalability. The results show that the proposed system achieves better recommendation accuracy compared to traditional machine learning approaches. It processes high-dimensional data efficiently and maintains latency below 200 milliseconds per API request, making it suitable for real-time applications. The novelty of this research lies in the end-to-end design that combines a big data framework with neural networks and RESTful APIs for practical implementation. This research provides a scalable and adaptive solution for e-commerce platforms and serves as a foundation for the advancement of real-time recommendation systems in the future.
Pemberdayaan Masyarakat Desa Lampung Selatan Melalui Transfer Teknologi Python untuk Ekonomi Kreatif Hartanto, M. Budi; Yunita, Hilda Dwi; Fahurian, Fatimah; Winarko, Triyugo
Jurnal SOLMA Vol. 14 No. 2 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i2.18412

Abstract

Pendahuluan: Pemberdayaan masyarakat desa merupakan komponen penting dalam meningkatkan kesejahteraan sosial dan ekonomi, khususnya di wilayah Lampung Selatan. Namun, keterbatasan akses terhadap teknologi dan pengetahuan menjadi hambatan utama dalam pengembangan ekonomi kreatif yang berbasis digital. Studi ini bertujuan untuk mentransfer teknologi berbasis Python guna meningkatkan kompetensi pelaku usaha kecil dan menengah (UKM) di Kecamatan Kalianda, Kabupaten Lampung Selatan. Metode: Pelatihan berbasis praktik, lokakarya interaktif, pendampingan teknis, serta konsultasi intensif. Hasil: Adanya peningkatan dalam pemahaman dan penerapan teknologi digital, khususnya dalam manajemen usaha, analisis pasar, dan optimasi produksi. Sebanyak 65% peserta berhasil mengadopsi teknologi Python secara mandiri dalam usahanya, dengan peningkatan efisiensi operasional dan kesiapan digital. Kesimpulan: Transfer pengetahuan dan teknologi Python terbukti efektif dalam mendukung pengembangan ekonomi kreatif berbasis digital di desa, selama diiringi strategi pembelajaran yang tepat dan berkelanjutan.
PELATIHAN DASAR PYTHON UNTUK MENDUKUNG LITERASI PEMROGRAMAN DI SEKOLAH MENENGAH KEJURUAN PELITA PESAWARAN hartanto, budi; Fawaati, Teuku Muhammad; Fahurian, Fatimah; Yunita, Hilda Dwi; Zuhri, Khozainuz
Universal Raharja Community (URNITY Journal) Vol. 5 No. 2 (2025): URNITY (Universal Raharja Community)
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/urnity.v5i2.3613

Abstract

Pelatihan dasar Python menjadi langkah strategis untuk meningkatkan literasi pemrograman di kalangan pelajar Sekolah Menengah Kejuruan (SMK) sebagai persiapan menghadapi tantangan Revolusi Industri 4.0. Bahasa pemrograman Python dipilih karena sintaksisnya sederhana, fleksibel, dan banyak digunakan di berbagai bidang seperti data science, kecerdasan buatan (AI), dan Internet of Things (IoT). Program ini dirancang untuk memperkenalkan konsep pemrograman dasar kepada siswa SMK Pelita Pesawaran melalui pendekatan berbasis proyek. Materi pelatihan meliputi pengenalan sintaks dasar Python, implementasi logika pemrograman sederhana, hingga pembuatan aplikasi dasar berbasis data.Metode pelaksanaan terdiri atas pembelajaran teori secara daring dan praktik langsung melalui lokakarya tatap muka. Pelatihan ini bertujuan tidak hanya untuk meningkatkan pemahaman siswa tentang pemrograman, tetapi juga untuk memotivasi mereka agar dapat menerapkan Python dalam proyek inovatif di sekolah maupun dunia kerja. Hasil kegiatan menunjukkan peningkatan signifikan pada pemahaman siswa tentang pemrograman dan kemampuannya mengimplementasikan Python untuk menyelesaikan masalah nyata. Dengan dukungan dari pihak sekolah dan komunitas lokal, pelatihan ini diharapkan menjadi program berkelanjutan untuk mendukung pengembangan SDM yang siap bersaing di era digital. Basic Python training serves as a strategic step to enhance programming literacy among vocational high school (SMK) students, preparing them to face the challenges of the Fourth Industrial Revolution. Python was chosen due to its simple syntax, flexibility, and extensive applications in fields such as data science, artificial intelligence (AI), and the Internet of Things (IoT). This program is designed to introduce fundamental programming concepts to students of SMK Pelita Pesawaran through a project-based approach. The training materials include an introduction to Python syntax, implementation of basic programming logic, and the development of simple data-driven applications.The implementation method involves theoretical online learning and hands-on practice through in-person workshops. This training aims not only to enhance students' understanding of programming but also to motivate them to apply Python in innovative projects at school and in their future careers. Results from the activity demonstrated a significant improvement in students' programming comprehension and their ability to implement Python in solving real-world problems. With support from the school and the local community, this program is expected to become a sustainable initiative to foster the development of human resources ready to compete in the digital era.
AGRICULTURAL AND PLANTATION PRODUCT MARKETING INFORMATION SYSTEM Refitasari, Ade Nisa; Yunita, Hilda Dwi; Yuniarthe, Yodhi
Journal of Technology and Data Science Vol. 1 No. 1 (2022): 2022
Publisher : PT. Alesha Media Digital

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

Abstract

The agricultural and plantation sectors play a key part in Indonesia's economic development. This is because the majority of Indonesians continue to rely on this industry for their lives, particularly as a provider of basics. Farmers in Marga Agung Village, Jati Agung District, South Lampung are one example. Currently, farmers purchase and sell agricultural products through agents, wholesalers, re­tailers, and consumers who rely on the conventional marketing system, resulting in a number of issues, such as the difficulty of selling suitable agricultural products. These agricultural products are getting more expensive in Indonesia, both in the eyes of customers and due to farmers' meager profit margins. Consequently, a WEB-based marketing system was developed utilizing a design methodology that em­ploys the UML Tool. The objective and benefits of building this website are to promote agricultural and plantation products, to facilitate the purchase and sale of agricultural and plantation products by farmers, and to facilitate the acquisition of agricultural and plantation products by consumers. 
Co-Authors Aldesion Denagi Zenda Anna, Eva Itma Ardiansyah Farid Aryatama, Apriyan Aulia, Pitri budi hartanto Budi Hartanto Desi Febriyani Devi Cantika Dirayati, Fadhilah Fatimah Fahurian Fawaati, Teuku Muhammad Hamdan Sukri Hamdan Sukri Hartanto, M Budi Hartanto, M.Budi Hartantom, Budi Hayati, Amelia Helen Aggraini Hendro Pramono, Doni Eko Iin Marliana ikhwan, Ahmad Khozainuz Zuhri M. Budi Hartanto, M. Budi marliana, iin Nitin, Mahon Pangestu, Yoga Putra, Billy Sistian Rahmadi, Putra Refitasari, Ade Nisa Rio Idha Rio Okida Romadhona, Rio Rosyana Fitria Purnomo Rudi Setiawan Satrianah Satrianah Sri Ipnuwati Tarnando, Kiki Triyugo Winarko Triyugo Winarko Triyugo Winarko, Triyugo Winariyani . Winarko , Triyugo Yodhi Yuniarthe