Article Per Year (5 Year)
p-Index From 2021 - 2026
2.233
P-Index
This Author published in this journals
All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Ilmiah Informatika Komputer Jurnal Ilmiah Teknologi dan Rekayasa RABIT: Jurnal Teknologi dan Sistem Informasi Univrab InComTech: Jurnal Telekomunikasi dan Komputer JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL NUSANTARA APLIKASI MANAJEMEN BISNIS Jurnal Pendidikan dan Konseling Jurnal Ekonomi Manajemen Sistem Informasi Jurnal Teknologi Informatika dan Komputer Journal La Sociale Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pengabdian Kepada Masyarakat Darma Saskara
Naeli Umniati
Universitas Gunadarma
Agriculture, Biological Sciences & Forestry 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Social Sciences Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
PENERAPAN METODE RATIONAL UNIFIED PROCESS (RUP) DALAM PEMBUATAN WEB PEMBELAJARAN ELEKTRONIK UNTUK SEKOLAH MENENGAH PERTAMA Mochammad Akbar Marwan; Naeli Umniati; Ricky Agus Tjiptanata; Raihan Budiyarto
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 7 No 2 (2022): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v7i2.2457

Abstract

The Rational Unified Process (RUP) method is a process framework in software development that can be adapted to the objectives of the development organization and software project team. Electronic learning is a learning system based on formal teaching but with the help of electronic resources. The main component of electronic learning is the use of computers and the internet. This electronic learning web for Junior High Schools was created using the CodeIgniter framework. This web has three user authorities, namely administrators, teachers, and students. Web testing with the blackbox testing method worked well. Measurement of system usability was carried out on 24 respondents using a questionnaire. The questionnaire was made based on the criteria contained in the USE Questionnaire and the assessment was based on a Likert scale. The usability measurement resulted in a value of 89.08% which means it is very feasible.
ANALISIS PENGARUH PERCEIVED USEFULNESS DAN PERCEIVED EASE OF USE MELALUI ATTITUDE TOWARD USING PADA APLIKASI SEGARI Arief Iman Rachman; Naeli Umniati
Jurnal Nusantara Aplikasi Manajemen Bisnis Vol 10 No 1 (2025): Jurnal Nusantara Aplikasi Manajemen Bisnis
Publisher : UNIVERSITAS NUSANTARA PGRI KEDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/nusamba.v10i1.22199

Abstract

Research aim: This research aims to determine the influence of perceived usefulness and perceived ease of use on behavioral intention to use the sugar application through an Attitude toward using among sugar consumers in the Jakarta, Depok, Tangerang, and Bekasi areas. Method: This research uses quantitative methods with a survey research type. Sampling used a non-probability sampling technique with a purposive sampling type. Research Finding: Behavioral intention to use the Segari application is influenced by perceived ease of use and perceived usefulness with attitude toward using it as an intervening variable. Theoretical contribution: This research shows that perceived ease of use and perceived usefulness with an attitude toward using it as an intervening variable are very effective in increasing interest in using the Segari application. Practitionel implication: The implication of this research for companies is to continue to pay attention to and improve the Segari application in terms of ease of use by carrying out promotions, publications, and outreach to users to increase interest in using the application. Research limitation: The results obtained are not entirely consistent with the findings of previous studies, especially on the relationship between Perceived Usefulness and Attitude toward using, as well as Perceived ease of use on Behavioral intention to use, which indicates the possibility of the influence of other external factors that have not been analyzed further.
Integration of K-Means Clustering and K-Nearest Neighbor for Mapping and Predicting Stunting Risk Among Toddlers in Indonesia Melinda Novianti; Naeli Umniati
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3752

Abstract

 Stunting prevalence among children under five in Indonesia keeps falling, yet remains unevenly spread, so setting priority areas needs a verifiable quantitative basis. Previous studies generally use a single algorithm, so the resulting map yields no estimate for the next period. This study combines both in one workflow: K-Means Clustering groups 514 districts and cities by risk level, and the cluster labels become reference classes for K-Nearest Neighbor to predict the 2025 risk category. The data are under-five stunting prevalence from the Indonesian Nutritional Status Survey (SSGI) 2021–2024. Its 128 empty values were filled by mean computation and rescaled with Min-Max normalisation, distance used Euclidean Distance, cluster quality the Silhouette Coefficient, and classification 23 nearest neighbours from a 1,542-row training set. Iteration stopped at the fifteenth round, giving 60 districts in High Risk, 232 in Moderate, and 222 in Low Risk, with a mean Silhouette Score of 0.33. The 2025 prediction places 25 districts in High Risk, 194 in Moderate, and 295 in Low Risk, agreeing with the cluster labels on 378 of 514 districts, or 73.54%. Re-running it in Orange Data Mining differed by at most four districts, confirming the workflow and its map for setting intervention priorities.
Analisis Tren Topik Berbasis BERTopic untuk Pendukung Keputusan Akademik Teknik Sipil: BERTopic-Based Analysis of Student Research Trends for Academic Decision Support Pratomo, Ayang Yugo; Umniati, Naeli
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 4 (2026): MALCOM October 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i4.3035

Abstract

Penelitian ini menganalisis tren topik tugas akhir mahasiswa Teknik Sipil Universitas Mercu Buana periode 2021–2025 dan merumuskan rekomendasi akademik berbasis data. Kerangka CRISP-DM diterapkan pada 1.532 dokumen yang memuat atribut tahun, judul, dan abstrak. Teks dipraproses, direpresentasikan menggunakan Sentence-BERT, dan dimodelkan dengan BERTopic, sedangkan Latent Dirichlet Allocation (LDA) digunakan sebagai pembanding pada korpus dan jumlah topik yang sama. Analisis sensitivitas menguji sembilan kombinasi parameter UMAP–HDBSCAN. Konfigurasi terpilih menghasilkan 22 topik dengan Topic Coherence 0,7807, Topic Diversity 0,7909, dan 253 dokumen outlier, sedangkan LDA memperoleh nilai masing-masing 0,6334 dan 0,8273. Kebaruan penelitian terletak pada integrasi evaluasi komparatif pemodelan topik, analisis tren yang diperkuat secara statistik, pemetaan semantik otomatis ke bidang konsentrasi yang dilanjutkan dengan pemetaan institusional PEO, serta rekomendasi berbasis aturan yang transparan. Arah tren ditentukan menggunakan slope, sedangkan p-value dan R-squared digunakan untuk mendukung interpretasi kekuatan statistik. Building Information Modeling dan penjadwalan CPM/PERT meningkat secara signifikan, sedangkan Earned Value Management serta hidrologi dan drainase menurun secara signifikan. Hasil analisis diintegrasikan ke dalam Sistem Pendukung Keputusan Akademik hibrida semantik-statistik yang menggabungkan pemetaan berbasis Sentence-BERT dan aturan keputusan untuk menghasilkan rekomendasi awal berupa pengembangan, pemeliharaan, pemantauan, evaluasi, dan revitalisasi bidang penelitian
Co-Authors Aini Suri Talita Ana Kurniawati Arief Iman Rachman Azhari, Ardi Deni Deni Felicia Felicia Hartati Rismauli Imawan, Bherlian Nanda Irawati, Dyah Cita Kemal Ade Sekarwati M., Lulu Chaerani Melinda Novianti Miftahul Jannah Mochammad Akbar Marwan Muhammad Sigit Ichsan Erwanto Pratomo, Ayang Yugo Raihan Budiyarto Ricky Agus Tjiptanata Rifiana Arief Sinuraya, Amri Tristyanti Yusnitasari WIDIASTUTI - Witta Listiya Ningrum Yanti, Layli Hardi