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All Journal Journal of Computer Networks, Architecture and High Performance Computing Jurnal Sains Informatika Terapan (JSIT) Public Health and Safety International Journal (PHASIJ) Engineering and Technology International Journal (EATIJ) JR : Jurnal Responsive Teknik Informatika Jurnal Responsive Teknik Informatika Journal of Engineering and Technology Innovation MPKM
sherly agustini
Universitas Ibnu Sina
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Veterinary Other

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Prediksi Kelulusan Mahasiswa Menggunakan Algoritma Naive Bayes: Studi Kasus Universitas Ibnu Sina Batam Willy Rizki Perdana; Romiko Afriantoni; Sherly Agustini; David Saro; Aprizal Y
Jurnal Responsive Teknik Informatika Vol 8 No 02 (2024): JR : Jurnal Responsive Teknik Informatika
Publisher : LPPM Universitas Ibnu Sina Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/jr.v8i02.1438

Abstract

Tingkat kelulusan mahasiswa merupakan indikator penting kualitas pendidikan tinggi. Penelitian ini bertujuan mengembangkan model prediksi kelulusan mahasiswa menggunakan algoritma Naive Bayes dengan memanfaatkan data akademik, sosial-demografis, dan ekonomi mahasiswa di Universitas Ibnu Sina Batam. Dataset mencakup 1.247 rekaman data mahasiswa Program Studi Teknik Informatika dan Sistem Informasi angkatan 2017–2021. Metode validasi menggunakan stratified 10-fold cross-validation. Hasil menunjukkan akurasi 89,74%, presisi 88,31%, recall 91,05%, dan F1-Score 89,66%. Perbandingan dengan Decision Tree dan SVM menunjukkan Naive Bayes unggul dalam efisiensi komputasi. IPK semester 1–4 dan tingkat kehadiran terbukti sebagai prediktor paling signifikan.
PENGEMBANGAN SISTEM INFORMASI LAYANAN PENGIRIMAN KARGO DOMESTIK Sherly Agustini; Nofri Yudi Arifin; Okta Veza; Albertus Laurensius; Hermansyah
Jurnal Sains Informatika Terapan Vol. 4 No. 3 (2025): Jurnal Sains Informatika Terapan (Oktober, 2025)
Publisher : Riset Sinergi Indonesia (RISINDO)

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Abstract

Penelitian ini bertujuan untuk (1) merancang sistem informasi jasa pengiriman cargo domestic berbasis web pada Perusahaan PT Mandiri Express Logistics (2) mempermudah pekerjaan karyawan PT Mandiri Express Logistics serta meminimalisir terjadinya kesalahan. Untuk melakukan penelitian ini terdapat 3 penelitian sejenis yang menjadi referensi bagi penulis dalam membangun perancangan sistem informasi jasa pengiriman cargo domestik ini. Metodologi penelitian yang digunakan yaitu metode wawancara, observasi studi Pustaka dan studi literatur sejenis dan metodologi pengembangan sistem menggunakan metode Object Oriented Analysis and Design (OOAD) dan menggunakan pemodelan Unified Modelling Language (UML) serta menggunakan PHP sebagai Bahasa pemrograman, MySQL sebagai database server dan Blackbox testing sebagai tahap pengujian sistem. Hasil penelitian ini berupa Sistem Informasi Jasa Pegiriman Cargo Domestik Berbasis Web Pada PT Mandiri Express Logistics.
Peran IoT dalam Transformasi Jaringan Multimedia: Tinjauan Literatur Sistematis Ghea Paulina Suri; Atman Lucky Fernandes; Hidayatul Ikhsan; Putri Devina; Ledi Alde Nopa; Sherly Agustini
Jurnal Responsive Teknik Informatika Vol 8 No 02 (2024): JR : Jurnal Responsive Teknik Informatika
Publisher : LPPM Universitas Ibnu Sina Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/jr.v8i02.1430

Abstract

Integrasi Internet of Things (IoT) dengan jaringan multimedia telah mengubah paradigma pengelolaan, pengiriman, dan pemrosesan konten multimedia secara fundamental. Penelitian ini bertujuan mensintesis perkembangan terkini melalui tinjauan literatur sistematis terhadap 25 artikel ilmiah yang dipublikasikan antara 2019–2024, bersumber dari Scopus, IEEE Xplore, dan Google Scholar, mengikuti protokol PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Hasil tinjauan mengungkap empat tema utama: (1) arsitektur jaringan berbasis IoT memanfaatkan edge computing dan 5G untuk optimasi latensi; (2) manajemen Quality of Service (QoS) secara adaptif; (3) keamanan data dan privasi dalam ekosistem perangkat heterogen; serta (4) penerapan kecerdasan buatan untuk otomasi pengelolaan data multimedia. Analisis sintesis menunjukkan adopsi 5G mampu mengurangi latensi hingga 85% dibanding 4G, sementara model keamanan berbasis blockchain menjadi solusi yang paling banyak dikaji. Gap penelitian teridentifikasi pada minimnya studi tentang standarisasi interoperabilitas antar-vendor dan model konsumsi energi IoT skala besar.
Prediksi Kelulusan Mahasiswa Menggunakan Algoritma Naive Bayes: Studi Kasus Universitas Ibnu Sina Batam Willy Rizki Perdana; Romiko Afriantoni; Sherly Agustini; David Saro; Aprizal Y
Jurnal Responsive Teknik Informatika Vol 8 No 02 (2024): JR : Jurnal Responsive Teknik Informatika
Publisher : LPPM Universitas Ibnu Sina Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/jr.v8i02.1438

Abstract

Tingkat kelulusan mahasiswa merupakan indikator penting kualitas pendidikan tinggi. Penelitian ini bertujuan mengembangkan model prediksi kelulusan mahasiswa menggunakan algoritma Naive Bayes dengan memanfaatkan data akademik, sosial-demografis, dan ekonomi mahasiswa di Universitas Ibnu Sina Batam. Dataset mencakup 1.247 rekaman data mahasiswa Program Studi Teknik Informatika dan Sistem Informasi angkatan 2017–2021. Metode validasi menggunakan stratified 10-fold cross-validation. Hasil menunjukkan akurasi 89,74%, presisi 88,31%, recall 91,05%, dan F1-Score 89,66%. Perbandingan dengan Decision Tree dan SVM menunjukkan Naive Bayes unggul dalam efisiensi komputasi. IPK semester 1–4 dan tingkat kehadiran terbukti sebagai prediktor paling signifikan.
Towards Integrated Smart Tourism Systems in Urban Destinations: A Systematic Literature Review on End-to-End Journey and SME Digital Integration Okta Veza; Nofri Yudi Arifin; Sherly Agustini
Engineering and Technology International Journal Vol 8 No 01 (2026): Engineering and Technology International Journal (EATIJ)
Publisher : YCMM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55642/eatij.v8i01.1238

Abstract

The rapid development of digital technologies has significantly transformed the tourism sector, particularly in urban destinations characterized by complex ecosystems and diverse stakeholders. Smart tourism systems have emerged as a key approach to enhancing service efficiency, improving tourist experiences, and enabling data-driven decision-making. However, existing studies are still fragmented and largely focus on partial implementations, lacking comprehensive end-to-end integration. This study aims to conduct a systematic literature review on smart tourism systems in urban destinations, with a focus on system integration, end-to-end tourist journey, and Small and Medium Enterprises (SMEs) digital integration. The review was conducted using selected articles from reputable international journals published between 2023 and 2025. The analysis categorizes the studies into three groups: same system and same scope, same system and similar scope, and same system and different scope. The results indicate that only a limited number of studies have developed fully integrated smart tourism systems, while most studies focus on specific components or are applied in different domains. In addition, stakeholder integration and SME digital inclusion remain key challenges in developing comprehensive smart tourism ecosystems. This study contributes by identifying research gaps and proposing future research directions focused on developing integrated, scalable, and inclusive smart tourism systems. The findings are expected to support the advancement of smart tourism system design in urban destinations.
Data Driven Smart Tourism Management: A Literature Review on System Integration, Digital Tourist Journey, and UMKM Connectivity in Smart Cities Sherly Agustini; Okta Veza; Nofri Yudi Arifin; Albertus Laurensius Setyabudhi
Engineering and Technology International Journal Vol 8 No 01 (2026): Engineering and Technology International Journal (EATIJ)
Publisher : YCMM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55642/eatij.v8i01.1239

Abstract

The rapid development of smart city initiatives has significantly transformed the tourism sector through the adoption of digital technologies and data-driven systems. This study aims to analyze the development of data-driven smart tourism management by focusing on system integration, digital tourist journey, and UMKM connectivity within smart city environments. A Systematic Literature Review (SLR) method was employed to examine 30 relevant articles published between 2020 and 2025. The findings indicate that most studies utilize similar methodological approaches but are applied to different research objects, resulting in fragmented research outcomes. Furthermore, the lack of integration among systems and limited involvement of UMKM in digital platforms remain major challenges in developing effective smart tourism ecosystems. This study highlights the need for integrated, interoperable, and scalable smart tourism systems supported by advanced technologies such as artificial intelligence, big data analytics, and Internet of Things (IoT). The results of this study provide a conceptual foundation and research directions for developing more comprehensive and sustainable smart tourism systems in smart city contexts.
Co-Authors Albertus L. Setyabudhi Albertus Laurensius Aprizal Y Azharye Putri Aulia David Saro Fernandes, Atman Lucky Ghea Paulina Suri Hermansyah Hidayatul Ikhsan Larisang Laurensius Setyabudhi, Albertus Ledi Alde Nopa Mahdi Aulia Suheri Muhamad Yari Hanzalah Mustakim Mustakim Nofri Yudi Arifin Okta Veza Okta Veza Putri Devina Revi Illya Badri Romiko Afriantoni Willy Rizki Perdana