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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JURSIMA (Jurnal Sistem Informasi dan Manajemen) JATI (Jurnal Mahasiswa Teknik Informatika) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Puan Indonesia Engineering and Technology International Journal (EATIJ) Innovative: Journal Of Social Science Research Journal of Information System, Technology and Engineering JT-IBSI (Jurnal Teknik Ibnu Sina) Journal Emerging Technologies in Education JR : Jurnal Responsive Teknik Informatika The Indonesian Journal of Computer Science Jurnal Responsive Teknik Informatika Journal of Engineering and Technology Innovation
Arifin, Nofri Yudi
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Data Driven Smart Tourism Management: A Literature Review on System Integration, Digital Tourist Journey, and UMKM Connectivity in Smart Cities Agustini, Sherly; Veza, Okta; Arifin, Nofri Yudi; Setyabudhi, Albertus Laurensius
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.
Pengembangan Model Pengelolaan Risiko Proyek Teknologi Jaringan Berbasis Metode Certainty Factor Muttaqim, Ilham; Agustini, Sherly; Arifin, Nofri Yudi
Journal Of Engineering And Technology Innovation ( JETI ) Vol. 3 No. 01 (2026): Journal Of Engineering And Technology Innovation ( JETI )
Publisher : Rey Media Grafika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66084/jeti.v3i01.599

Abstract

Penelitian ini bertujuan untuk mengembangkan model pengelolaan risiko pada proyek teknologi jaringan menggunakan metode Certainty Factor (CF) guna menangani ketidakpastian dalam proses pengambilan keputusan. Metode yang digunakan adalah pendekatan kuantitatif dengan pengumpulan data melalui wawancara, kuesioner, serta analisis dokumen proyek. Risiko yang teridentifikasi diklasifikasikan ke dalam tiga kategori utama, yaitu risiko teknis, manajerial, dan operasional. Selanjutnya, setiap risiko dianalisis menggunakan metode Certainty Factor untuk menentukan tingkat keyakinan terhadap kemungkinan terjadinya risiko. Hasil penelitian menunjukkan bahwa risiko ketergantungan pada teknologi baru memiliki nilai CF kombinasi tertinggi sebesar 0,925 yang dikategorikan sebagai risiko utama, sementara risiko sumber daya manusia berada pada tingkat moderat dan risiko regulasi tergolong rendah. Metode Certainty Factor terbukti efektif dalam mengintegrasikan berbagai sumber informasi menjadi nilai kuantitatif yang dapat digunakan untuk mendukung pengambilan keputusan. Model yang dikembangkan diharapkan dapat meningkatkan akurasi dan efektivitas pengelolaan risiko serta menjadi dasar dalam pengembangan sistem pendukung keputusan pada proyek teknologi jaringan.
Analysis and Design of Web-based Internal Office Memo (IOM) Management System Veza, Okta; Larisang, Larisang; Setyabudhi, Albertus Laurensius; Arifin, Nofri Yudi; Syofiawan, Doni; Martino, Hisar Gusdian
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3511

Abstract

This research focuses on the design and implementation of a web-based Internal Office Memo (IOM) Management System in the PT InnoArk Servis Internasional Optipedia Team. The main problem relates to ineffective communication and coordination between divisions, which results in backlogs and repetition of work as well as difficulties in monitoring task progress. The research method adopts a System Development Life Cycle (SDLC) approach with a waterfall model and uses the Unified Modeling Language (UML) for system design. Implementation was carried out by utilizing the CodeIgniter framework and MySQL as a database, followed by black box testing of the requirements testing type. The result is a system that successfully improves operational efficiency, team collaboration, and transparency of work progress. This application not only overcomes communication obstacles, but also provides a basis for making better decisions based on actual data, maintaining the smooth implementation of tasks, and improving the quality of team collaboration in the PT InnoArk Servis Internasional Optipedia Team.
Studi Metodologis Optimasi Hyperparameter XGBoost Menggunakan Bayesian Optimization untuk Prediksi Risiko Stunting Berbasis Dataset Simulasi Arifin, Nofri Yudi
Journal Of Engineering And Technology Innovation ( JETI ) Vol. 3 No. 01 (2026): Journal Of Engineering And Technology Innovation ( JETI )
Publisher : Rey Media Grafika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66084/jeti.v3i01.608

Abstract

Stunting merupakan permasalahan kesehatan masyarakat yang serius di Indonesia. Penelitian ini merupakan studi metodologis yang bertujuan mengevaluasi efektivitas Bayesian Optimization (BO) dalam mengoptimasi hyperparameter algoritma Extreme Gradient Boosting (XGBoost) untuk klasifikasi risiko stunting. Karena keterbatasan akses microdata individu dari SSGI dan SDKI, penelitian ini menggunakan dataset simulasi yang dikonstruksi berdasarkan distribusi statistik agregat resmi Kementerian Kesehatan dan Badan Pusat Statistik. Dataset terdiri atas 12.847 record dengan 14 fitur prediktor. Tahapan penelitian meliputi pembentukan dataset simulasi, pra-pemrosesan, seleksi fitur dengan mutual information, penanganan imbalanced class dengan SMOTE, dan optimasi hyperparameter melalui 50 iterasi BO menggunakan library Optuna. Model dibandingkan dengan Logistic Regression, Random Forest, SVM, XGBoost default, XGBoost-Grid Search, dan XGBoost-Random Search. Hasil eksperimen menunjukkan XGBoost-BO mencapai accuracy 91,8%, F1-score 90,4%, dan AUC-ROC 95,3%, mengungguli seluruh model pembanding (p < 0,05). BO meningkatkan F1-score 5,7 poin persentase dibandingkan XGBoost default dengan efisiensi komputasi 34 kali lebih baik dari Grid Search. Analisis SHAP mengidentifikasi berat badan lahir, tinggi badan ibu, dan pendapatan keluarga per kapita sebagai faktor dominan. Hasil studi ini menjadi landasan metodologis untuk validasi pada data riil setelah perizinan akses diperoleh.
Co-Authors Abdul Halik Ade Kurnia, Riska Agustini, Sherly Demmanggasa, Yultan Devega, Army Trilidia Fernandes, Atman Lucky Indah Kusuma Dewi, Indah Kusuma Indra Indra Iwan Ady Prabowo Johan, Dasman Jumardi, Hamdani KASNAWATI, KASNAWATI Kurdi, Musyarrafah Sulaiman Larisang Laurensius Setyabudhi, Albertus Mardikawati, Budi Martino, Hisar Gusdian Mohammad, Wily Muttaqim, Ilham Pahar Kurniadi Pahmi Pahmi Putri, Weni Lestari Rahmadea, Tasya Bintang Ramli, Akhmad Riswandha, Muhammad Noval Rizki Prakasa Hasibuan Rozali, Rozali Sabilaturrizqi, Mashudah Setyabudhi, Albertus L Setyaudhi, Albertus Laurensius Suri, Ghea Paulina Syofiawan, Doni Tri Bowo Atmojo, Tri Bowo Tyas, Sari Setyaning Vanchapo, Antonius Rino Veza, Okta Veza, Okta Wulandari, Ardila