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All Journal Jurnal Ilmu Komputer dan Agri-Informatika Cyberspace: Jurnal Pendidikan Teknologi Informasi PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Ilmiah Media Sisfo Simtek : Jurnal Sistem Informasi dan Teknik Komputer Journal of Information System,Graphics, Hospitality and Technology JSR : Jaringan Sistem Informasi Robotik TIN: TERAPAN INFORMATIKA NUSANTARA Entalpi Pendidikan Kimia JUSTIN (Jurnal Sistem dan Teknologi Informasi) COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Pustaka Aktiva : Pusat Akses Kajian Akuntansi, Manajemen, Investasi, dan Valuta TRANSPUBLIKA INTERNATIONAL RESEARCH IN EXACT SCIENCES (TIRES) Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Informatika: Jurnal Pengembangan IT SEWAGATI: Jurnal Pengabdian Kepada Masyarakat BATIK: Jurnal Pengembangan dan Pengabdian Masyarakat Multikultural Jurnal Indonesia : Manajemen Informatika dan Komunikasi Damhil: Jurnal Pengabdian kepada Masyarakat
Ulfa Khaira, Ulfa
Bogor Agricultural University
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Implementasi Algoritma Dijkstra untuk Penentuan Rute Terpendek Menuju Fakultas Sains dan Teknologi Universitas Jambi Hidayah, Nurul; Khaira, Ulfa
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 5 No. 7 (2025): COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v5i7.3411

Abstract

Mobilitas antar lokasi di lingkungan kampus Universitas Jambi menuntut efisiensi waktu dan jarak tempuh yang optimal, terutama bagi mahasiswa Fakultas Sains dan Teknologi (FST) yang memiliki intensitas aktivitas tinggi. Penelitian ini bertujuan untuk menerapkan Algoritma Dijkstra dalam menentukan rute tercepat menuju Gedung Fakultas Sains dan Teknologi Universitas Jambi secara manual menggunakan data spasial lokal dan pengukuran berbasis Google Maps. Metode penelitian meliputi observasi lapangan, pemetaan titik simpul menggunakan skala 1:1000 cm (1 cm = 10 m), serta pemodelan graf berbobot yang mewakili jarak antar simpul. Algoritma Dijkstra digunakan untuk menghitung jalur minimum dari titik awal Gerbang Universitas Jambi menuju titik tujuan (Gedung FST). Validasi hasil dilakukan dengan membandingkan jarak hasil perhitungan terhadap estimasi dari Google Maps menggunakan Absolute Error (AE). Hasil penelitian menunjukkan bahwa jalur terpendek diperoleh melalui lintasan A ? B ? C ? E ? H ? I ? K ? O dengan total jarak 93 cm pada peta atau setara 930 meter jarak aktual. Perbandingan hasil perhitungan manual dengan estimasi Google Maps menghasilkan tingkat akurasi sebesar 92,4%, menunjukkan kesesuaian tinggi antara model manual dan sistem navigasi digital. Temuan ini membuktikan bahwa Algoritma Dijkstra efektif digunakan dalam pemetaan rute berbasis graf di lingkungan kampus, serta dapat dijadikan dasar pengembangan sistem navigasi kampus berbasis digital.
PERANCANGAN UI/UX DASHBOARD REPORTING PADA PORTAL HALAL.GO.ID MENGGUNAKAN METODE DESIGN THINKING Anugradia, Nabila; Arsa, Daniel; Khaira, Ulfa
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 8 No 1 (2024)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/cj.v8i1.22948

Abstract

The research aims to design a UI/UX dashboard reporting system for the Halal.go.id Portal using the design thinking method. This method involves research stages: Empathize, Define, Ideate, Prototype, and Test. The research employs qualitative methods with observation, interview, and heuristic evaluation techniques. The results indicate that the designed reporting dashboard achieved a score of 358 and a percentage of 89.50% based on 10 heuristic evaluation instruments, falling under the "Very Good" category. This signifies that the reporting dashboard is highly suitable for implementation to improve the UI/UX aspects of the Halal.go.id Portal. This research contributes to the design of effective and efficient UI/UX dashboard reporting for users of the Halal.go.id Portal. The research findings are expected to contribute to enhancing the quality of information services related to halal products in Indonesia.
Komparasi Algoritma Naïve Bayes Dan Support Vector Machine (SVM) Pada Analisis Sentimen Kebijakan Kemdikbudristek Mengenai Kuota Internet Selama Covid-19 Khaira, Ulfa; Aryani, Reni; Hardian, Reza Wahyu
Jurnal PROCESSOR Vol 18 No 2 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.2.897

Abstract

Sentiment analysis is an activity that is used to analyze public opinion about an incident such as the Ministry of Education and Culture's internet assistance quota during the Covid-19 pandemic through one of the Twitter social media. Twitter is a microblogging platform that is used to write an opinion or opinion about an event that can be used as a source of data used. The Naïve Bayes method and Support Vector Machine (SVM) are methods with a Machine Learning approach that can be used to perform sentiment analysis on Kemdikbudristek policies regarding MoEC Quotas in the process of classifying a tweet based on its emotional level and knowing the accuracy comparison between the Naïve Bayes method and the Support Vector Machine ( SVM). The results of the sentiment analysis process using the Naïve Bayes Algorithm and Support Vector Machine (SVM) based on public opinion, in this case Twitter users regarding the Ministry of Education and Culture Quota policies, resulted in a higher level of accuracy for the Support Vector Machine (SVM) than Naïve Bayes with an accuracy of 80%, for an average -the average precision value is 80.3%, recall is 80.3% and f1-score is 80.3%.
Komparasi Metode Naive Bayes dan K-Nearest Neighbors Terhadap Analisis Sentimen Pengguna Aplikasi Zenius Abdillah, Tegar; Khaira, Ulfa; Hutabarat, Benedika Ferdian
Jurnal PROCESSOR Vol 19 No 1 (2024): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2024.19.1.1596

Abstract

The purpose of this research is to compare the performance of Naive Bayes and K-Nearest Neighbor (KNN) methods in analyzing user sentiment on the Zenius application. The evaluation is done by checking the precision, precision, recall, and F1-Score scores of both methods as well as visualizing the results of sentiment analysis with one of the methods used. The advantage of this research is a deeper understanding of how Naive Bayes and KNN techniques work in sentiment analysis in the context of the Zenius app. Furthermore, this research aims to evaluate the performance results of two techniques, Naive Bayes and KNN, in sentiment analysis. From the results of testing split data scenarios using Split Validation with training data and testing data 90:10. Naive Bayes accuracy reached 88.41%, while KNN reached 100%. In this study, KNN outperformed Naive Bayes in terms of precision, recall, and F1-Score values. The results of data visualization show that the direction of the sentiment generated tends to be positive. This study not only provides a deeper understanding of the performance of Naive Bayes and KNN techniques in sentiment analysis for the Zenius application, but also provides a comprehensive evaluation of their performance. This research is expected to serve as a guide for developing more effective sentiment analysis methods for similar applications in the future.
ANALISIS PENERIMAAN SISTEM INFORMASI LABORATORIUM (SILABOR) UNIVERSITAS JAMBI MENGGUNAKAN METODE TECHNOLOGY ACCEPTANCE MODEL (TAM) Simanjuntak, Ade Bonita; Aryani, Reni; Khaira, Ulfa
JSR : Jaringan Sistem Informasi Robotik Vol 8, No 1 (2024): JSR: Jaringan Sistem Informasi Robotik
Publisher : AMIK Mitra Gama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58486/jsr.v8i1.337

Abstract

Perkembangan ilmu pengetahuan saat ini telah menciptakan berbagai macam teknologi baru. Salah satu inovasi layanan digital adalah Sistem Informasi Laboratorium (SILABOR) Universitas Jambi. Sistem informasi laboratorium (SILABOR) Universitas Jambi digunakan untuk pengolaan pendayagunaan aset. Tujuan dari penelitian ini yaitu untuk mengetahui pengaruh persepsi kegunaan (Perceived Usefulness), persepsi kemudahan (perceived ease of use), sikap pengguna (attitude toward using), niat pengguna (Behavioral to use), terhadap penerimaan penggunaan sistem informasi laboratorium universitas jambi. Penelitian ini dilakukan dengan cara melakukan analisis sistem yaitu Penerimaan penggunaan yang mengarah kepada keberhasilan penerapan sistem informasi secara lebih efektif dengan menggunakan metode Technology Acceptance Model (TAM). Dan jenis penelitian yang digunakan yaitu dengan pendekatan penelitian kuantitatif. Adapun sampel yang digunakan pada penelitian ini berjumlah 61 responden. Penelitian ini menggunakan teknik analisis data Structural Equation Modeling Partial Square (SEM-PLS) yang mana teknik ini dapat menganalisis pola hubungan antara konstruk laten dan indikatornya, konstrak laten yang satu dengan lainnya dengan menggunakan software SmartPLS.
Co-Authors Abdillah, Tegar Abidin, Zainil Ade Adriadi Al Falaqi, Maula Anugradia, Nabila Aprilia, Kesi Arsa, Daniel Aryani, Reni Benedika Ferdian Hutabarat Edi Saputra Fikri, Akmal Hanis, Farisyah Lutfiah Hardian, Reza Wahyu Jaya, Asirman Lutvianita, Febby Mardhotillah, Bunga Maulana, Sabrian Mhd Hidayattullah Muhammad Razi A Noverina, Yolla Nugraha, A. Prima Nurhadi, Miranda Sukma NURUL HIDAYAH Priyanto Priyanto Rahman, Reyvi Rizqa Raaiqa Bintana Saputra, M Ari Simanjuntak, Ade Bonita Sukma, Silvia Antana Syamsyida Rozi Tri Suratno Utomo, Pradita Eko Prasetyo VERDI, MOHD RAFI Yerimadesi Yurinanda, Sherli Zahra, Salmah Nur