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Journal of Emerging Information Systems and Business Intelligence (JEISBI)
Published by Universitas Negeri Surabaya
ISSN : -     EISSN : 27743993     DOI : 10.26740/jeisbi
Core Subject : Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Library & Information Science
Journal of Emerging Information Systems and Business Intelligence (JEISBI) aims to provide scholarly literature focused on studies and research in the fields of Information Systems (IS) and Business Intelligence (BI). This journal also includes public reviews on the development of theories, methods, and applications relevant to these topics. All published works are presented exclusively in English to reach a global audience of readers and researchers. The journal’s scope includes but is not limited to the following fields: Data Mining Generative Artificial Intelligence Big Data Analytics Business Intelligence Enterprise Architecture UI/UX Business Process Management Enterprise System System Development Decision Support System IS/IT Strategy and Planning IT Investment and Productivity IT Project Governance IS Business Value Audit SI/TI Cybersecurity and Risk Management IS/IT Operations and Service Management IT Ethics Organizational and Human Behavior Technology Digital Sociology
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 34 Documents
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Search results for , issue "Vol. 5 No. 3 (2024)" : 34 Documents clear
IMPLEMENTASI METODE YOU ONLY LOOK ONCE (YOLOv5) DALAM DETEKSI PELANGGARAN HELM Meidyan, Martinus Ade; Yustanti, Wiyli
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 5 No. 3 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v5i3.60517

Abstract

Pelanggaran pada lalu lintas yang di sebabkan oleh pengendara roda dua yang sering di tindak pada saat melakukan operasi patuh pada tahun 2023 mencatat, terdapat tiga pelanggaran terbanyak yang dilakukan oleh kendaraan roda dua. Paling banyak adalah pelanggaran tidak menggunakan helm yaitu sebanyak 8.916 pelanggaran (Made et al., 2020). Tujuan penelitian ini adalah menghasilkan sistem deteksi kendaraan berdasarkan kelasnya melalui analisis video berbasis algoritma YOLOv5. Metode yang disajikan dalam penelitian ini berfokus pada optimasi dan implementasi algoritma YOLOv5 untuk mendeteksi objek berupa helm pada pengendara roda dua pada saat berkendara, menggunakan dataset berisi 2000 gambar, dengan 1200 gambar untuk pelatihan dan 800 gambar untuk pengujian. Pelatihan dilakukan hingga mencapai langkah 200 epoch dengan batch 48 dengan ukuran gambar 448. Hasil penelitian dan uji coba berdasarkan eksperimen yang penulis lakukan, penulis berhasil mencapai nilai F1 Score sebesar 0.87 dan nilai mAP 0.90 menggunakan algoritma YOLOv5 dengan arsitektur YOLOv5m. Adanya beberapa faktor yang memengaruhi hasil deteksi adalah latar belakang objek pada gambar, posisi objek, terdapat objek penghalang pada sudut tertentu, serta tinggi/jarak objek.
Pengaruh Gamifikasi Terhadap Customer Brand Engagement Dalam Membentuk Customer Experience (study case : Shopee Cocoki) Amalia, Maula Cahya; Palupi, Ghea Sekar
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 5 No. 3 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v5i3.61009

Abstract

VIRTOURAL: MOBILE APPS AS VIRTUAL TOURISM AND E-MARKETPLACE INTEGRATED WITH VIRTUAL REALITY TO IMPROVE TOURISM AND UMKM IN PACITAN DISTRICT: VIRTOURAL : MOBILE APPS SEBAGAI VIRTUAL TOURISM DAN E-MARKETPLACE TERINSTEGRASI VIRTUAL REALITY GUNA MENINGKATKAN PARIWISATA DAN UMKM KABUPATEN PACITAN Shihabudin, Ahmad; Nuryana, I Kadek Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 5 No. 3 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v5i3.61028

Abstract

This research aims to describe the concept design and implementation of Virtoural, which is Mobile Apps as Virtual Tourism and E-Marketplace Integrated Virtual Reality To Improve Tourism and MSMEs in Pacitan Regency. This research uses the R&D method (Research and Development) which consists of four stages, namely stage Define, Design, Develop, and Dissermination. But for developmen tmobile app This only reaches the Develop stage, namely creating a Virtoural prototype. Virtoural is an application as virtual tourism Pacitan Regency ande-marketplace by using the Pacitan Regency tourist destination as its base by integratingVirtual Reality inside it. The features in Virtoural are the start/registration page, main menu, tourist exploration menu, best destination menu, souvenir menu, and user account menu. The stages for designing mobile app Virtoural is the problem identification stage, design stage, assembly stage, trial & evaluation stage, implementation stage, and product evaluation & development stage. In this way the Virtoural application can be implemented well. After this application is implemented, it is hoped that it can help the tourism sector and MSMEs in Pacitan Regency.
Peramalan Jumlah Incident Information Technology PT XYZ Menggunakan Artificial Neural Network (ANN): Peramalan Jumlah Incident Information Technology PT XYZ Menggunakan Artificial Neural Network (ANN) Amalia, Dini; Yustanti, Wiyli
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 5 No. 3 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v5i3.61037

Abstract

Forecasting is a technique for predicting events that will occur in the future using historical data as a comparison In this research, researchers try to determine the performance of the ANN method for forecasting the number of incidents at PT XYZ and build an application for forecasting the number of incidents at PT XYZ. This research uses the Mean Absolute Percentage Error (MAPE) evaluation metric as the evaluation metric that will be interpreted. The smaller the MAPE value, the better the model architecture. The best model is the model that produces the smallest MAPE value and does not experience underfitting or overfitting conditions. Based on the research results, it was found that all the best models from each model architecture produced a MAPE value of less than 10 and did not experience underfitting or overfitting conditions. Therefore, it can be interpreted that all the models produced are very accurate to be used as incident forecasting models at PT XYZ for the next 4 weeks. The website-based incident forecasting application created to predict the number of incidents for the next 4 weeks using the best model that has been previously saved also produces a MAPE value of less than 10 and does not experience underfitting and overfitting conditions.
Analisis Tingkat Kepuasan Pelanggan Terhadap Layanan GOPAY Menggunakan Structural Equation Modeling (Studi Kasus: Kota Surabaya) Rosida, Aulia Mufidatur; Nuryana, I Kadek Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 5 No. 3 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v5i3.61145

Abstract

GOPAY adalah dompet digital yang dapat digunakan oleh masyarakat umum, khususnya warga Surabaya, kota metropolitan terbesar kedua di Indonesia yang sebagian besar masyarakatnya menggunakan ponsel untuk bertransaksi. Tujuan dari penelitian ini adalah untuk mengidentifikasi variabel-variabel yang mempengaruhi kebahagiaan pengguna GOPAY. ada 6 faktor yang berkaitan dalam pengaruh kepuasan pelanggan, yaitu technological self-efficacy, perceived ease of use, perceived usefulness, perceived risk, security system, dan perceived trust. Ada 100 responden survei masyarakat Surabaya yang menggunakan minimal 1 kali tranksasi aplikasi GOPAY. Penyebaran kuesioner secara online menjadi sumber data utama untuk penelitian ini. Karena model SEM digunakan dalam penelitian ini untuk menganalisis data, maka model yang digunakan tidak terbatas untuk menggunakan variabel tambahan lain pada model penelitian dengan perangkat lunak SmartPLS 3.0. Hasil penelitian ini yaitu pengaruh perceived ease of use terhadap customer satisfaction, technological self-efficacy terhadap customer satisfaction, perceived ease of use terhadap perceived usefulness, dan perceived ease of use terhadap customer satisfaction menunjukkan hubungan signifikan dan positif yang menimbulkan ada 3 faktor yang saling mempengaruhi pada kepuasan pelanggan yang menggunakan layanan GOPAY.
Development of a Blast System and Chatbot for Information Dissemination in the IPI Community (Ibu Pembelajar Indonesia) Using the WhatsApp-Web.js Library: Pengembangan Sistem Blast dan Chatbot untuk Penyebaran Informasi di Komunitas IPI (Ibu Pembelajar Indonesia) dengan Menggunakan Library WhatsApp-Web.js Rosyad, Alwan Jauza; Utami, Ardhini Warih
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 5 No. 3 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v5i3.61228

Abstract

The research focuses on the development of a blast system and chatbot for disseminating information within the IPI (Ibu Pembelajar Indonesia) Community using the Whatsapp-web.js library. The main objective of this research is to address the limitation of the maximum number of members in a WhatsApp group, which is only 1,024 members, and to disseminate information in a community that has more than 4,000 members. The Rapid Application Development (RAD) method is used in the development of this system, which includes the stages of requirement planning, design, rapid construction, and cutover. The results of the study indicate that the blast system enables admins to disseminate information en masse to all members without having to select numbers one by one, while the chatbot provides automatic interaction and real-time responses to community members. The developed system has proven to be effective in disseminating information quickly and accurately, reducing manual workload, and minimizing the potential for communication errors. Moreover, the implemented chatbot technology has successfully enhanced member engagement and satisfaction through more dynamic interactions and content personalization based on usage data analysis. Nonetheless, this research suggests the development of additional features, enhancement of data security, and training and socialization to ensure optimal system utilization. Further research is needed to evaluate the long-term impact of using this system and to test its scalability in other communities or organizations with complex communication needs.
Analisis Sentimen Opini Publik Terhadap Kebijakan Baru Skripsi Pada Media Sosial Twitter Menggunakan Metode Naive Bayes: Public Opinion Sentiment Analysis of New Thesis Policies on Twitter Social Media Using the Naive Bayes Method Puspitasari, Refandah; Dwi Indriyanti, Aries
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 5 No. 3 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v5i3.61273

Abstract

Comparison of Topsis, Moora, and Waspas Methods In Website-Based Employee Performance Assessment (Case Study: Tirta Argapura Regional Public Company Of Drinking Water, Probolinggo Regency): Perbandingan Metode TOPSIS, MOORA, dan WASPAS Pada Penilaian Kinerja Karyawan Berbasis Website (Studi Kasus : Perusahaan Umum Daerah Air Minum Tirta Argapura Kabupaten Probolinggo) Kusuma, Erlangga Dwi; Sisephaputra, Bonda
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 5 No. 3 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v5i3.61304

Abstract

This research aims to design and develop a web-based employee performance assessment information system at the Regional Water Supply Company Tirta Argapura, Probolinggo Regency. It employs the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA), and Weight Aggregated Sum Product Assessment (WASPAS) methods for performance evaluation. A comparison among these methods is conducted using sensitivity analysis to determine the best-performing method. The system development follows the Rapid Application Development (RAD) methodology, involving requirement planning, user design, construction, and cutover phases. Blackbox and Whitebox testing techniques are employed to ensure the system's functionality and correctness after development. The research findings indicate that the rankings from TOPSIS, MOORA, and WASPAS align closely with manual calculations used as benchmarks during the method implementation for the employee assessment website design. Sensitivity testing reveals sensitivity values of 0.081 for TOPSIS, -5.542 for MOORA, and -5.964 for WASPAS. Consequently, WASPAS shows high sensitivity while TOPSIS remains stable against changes in criteria weights, leading to the conclusion that TOPSIS is the optimal method for assessing employee performance at the Regional Water Supply Company Tirta Argapura, Probolinggo Regency.
Analisis Opinion Mining Pada Topik Chatgpt di Aplikasi X Dengan Pendekatan Algoritma SVM Berbasis Lexicon Prismala, Darisva; Nuryana, I Kadek Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 5 No. 3 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v5i3.61575

Abstract

Perkembangan teknologi kecerdasan buatan, khususnya dalam bentuk chatbot seperti ChatGPT, telah memberikan dampak signifikan pada berbagai aspek kehidupan, termasuk interaksi di platform media sosial seperti aplikasi X. Analisis sentimen terhadap opini pengguna sangat penting untuk memahami sikap dan reaksi mereka, yang dapat memberikan wawasan berharga bagi pengembang untuk meningkatkan kualitas produk dan layanan. Penelitian ini bertujuan untuk menganalisis opini masyarakat terhadap topik ChatGPT di aplikasi X menggunakan algoritma Support Vector Machine (SVM) berbasis lexicon. Hasil penelitian menunjukkan bahwa algoritma SVM berbasis lexicon dapat secara efektif mengklasifikasikan sentimen Tweet dengan tingkat akurasi yang tinggi. Pelabelan data menggunakan kamus VADER Lexicon menunjukkan hasil sebagai berikut: 431 sentimen positif, 1307 sentimen netral, dan 115 sentimen negatif. Sementara itu, hasil klasifikasi menggunakan algoritma SVM menunjukkan 188 sentimen positif, 1264 sentimen netral, dan 1593 sentimen negatif. Akurasi pengujian menggunakan Cross Validation menghasilkan akurasi sebesar 78.06%, dengan precision 53.72% untuk sentimen positif, 76.74% untuk sentimen netral, dan 81.98% untuk sentimen negatif. Recall untuk masing-masing kelas adalah 23.43% (positif), 74.22% (netral), dan 99.92% (negatif).
Modeling Business Process Improvement (BPI) Distribution Flow at PT. DWI PUTRA MANUNGGAL using the Business Process Model and Notation (BPMN) Approach: Modeliing Business Process Improvment (BPI) Alur Distribusi pada PT. DWI PUTRA MANUNGGAL dengan Pendekatan Business Process Model and Notation (BPMN) Primasari, Bela Dwi; Nuryana, I Kadek Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 5 No. 3 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v5i3.61584

Abstract

A company must maintain the stability of its business processes. To ensure smooth business operations, one approach is to enhance competitive quality for consumers. Maintaining consumer trust can be achieved by ensuring the stability of quality products and fast service. This study was conducted at PT. Dwi Putra Manunggal, located in Malang Regency, East Java. The company faces inefficiencies in its distribution process, causing delays in getting products to consumers. To improve business processes, an analysis using the Business Process Improvement (BPI) method can be performed. BPI is used to find solutions to ongoing business process issues. To evaluate and implement improvements, modeling notation written in Business Process Model and Notation (BPMN) can be used, providing stakeholders with an overview of the business process improvements made. By using BPMN notation, the actual (as-is) and recommended (to-be) business process simulations and models can be identified. As a result, PT. Dwi Putra Manunggal's business processes need improvement through BPI, with several parts of the business process requiring simplification. The simplification, simulated and modeled using BPMN, results in a minimum time of 7 hours, a maximum time of 13 hours, and an average time of 13 hours and 10 minutes.A company must maintain the stability of its business processes. To ensure smooth business operations, one approach is to enhance competitive quality for consumers. Maintaining consumer trust can be achieved by ensuring the stability of quality products and fast service. This study was conducted at PT. Dwi Putra Manunggal, located in Malang Regency, East Java. The company faces inefficiencies in its distribution process, causing delays in getting products to consumers. To improve business processes, an analysis using the Business Process Improvement (BPI) method can be performed. BPI is used to find solutions to ongoing business process issues. To evaluate and implement improvements, modeling notation written in Business Process Model and Notation (BPMN) can be used, providing stakeholders with an overview of the business process improvements made. By using BPMN notation, the actual (as-is) and recommended (to-be) business process simulations and models can be identified. As a result, PT. Dwi Putra Manunggal's business processes need improvement through BPI, with several parts of the business process requiring simplification. The simplification, simulated and modeled using BPMN, results in a minimum time of 7 hours, a maximum time of 13 hours, and an average time of 13 hours and 10 minutes.Keywords: BPI, BPMN, Modeling and Simulation, Distribution

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