Article Per Year (5 Year)
p-Index From 2021 - 2026
3.403
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Techno.Com: Jurnal Teknologi Informasi Bulletin of Electrical Engineering and Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTECOMS: Journal of Information Technology and Computer Science Data Science: Journal of Computing and Applied Informatics JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Mantik Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Teknimedia: Teknologi Informasi dan Multimedia Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Jurnal Bangkit Indonesia Jurnal Pendidikan Indonesia (Japendi) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Intechno Journal : Information Technology Journal
Dhani Ariatmanto
Universitas Amikom Yogyakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 23 Documents
Search

 1   2   3 
IMPLEMENTATION OF WORD EMBEDDING IN DETECTING POLITICAL FAKE NEWS IN INDONESIA USING LONG SHORT-TERM MEMORY ALGORITHM Anggit Rianansyah; Ema Utami; Dhani Ariatmanto
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.6680

Abstract

This research investigates the use of word embedding techniques to detect political fake news in Indonesia by utilizing the Long Short-Term Memory (LSTM) algorithm. The spread of fake news, particularly in the political realm, poses significant challenges to public trust and the integrity of information. To address these challenges, we employed a dataset of political news articles and applied word embedding to convert the text into a numerical format that represents the semantic relationships between words. The LSTM algorithm, known for its ability to process and learn from sequential data, was then used to identify patterns indicative of fake news. Our model demonstrated satisfactory accuracy, with the LSTM algorithm without word embedding achieving an average accuracy of 67%, while the application of word embedding (Word2Vec, Glove, and FastText) resulted in average accuracies of 84%, 81%, and 86%, respectively. These findings confirm that combining word embedding with LSTM is effective in detecting fake news. This research contributes to ongoing efforts to combat misinformation in Indonesia by providing a robust tool to enhance the reliability of news in the digital age. Further developments, such as the integration of additional linguistic features and the expansion of the dataset, are expected to improve the model’s performance and adaptability across various contexts.
Evaluasi Pengalaman Pengguna Aplikasi Presensi Digital SIHADIR Polnep Menggunakan User Experience Questionnaire Plus (UEQ+) Muhammad Ghozy Alkhairi; Dhani Ariatmanto
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 2 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v%vi%i.10407

Abstract

Transformasi digital di perguruan tinggi menuntut sistem informasi yang fungsional sekaligus memberikan pengalaman pengguna (User Experience/UX) yang baik. SIHADIR Polnep adalah aplikasi presensi digital berbasis Android yang diterapkan di Politeknik Negeri Pontianak sejak Januari 2025. Namun, pasca-implementasi, ditemukan indikasi permasalahan pada antarmuka yang kurang intuitif dan kendala teknis yang mengganggu kenyamanan pengguna. Penelitian ini bertujuan menganalisis tingkat pengalaman pengguna aplikasi SIHADIR menggunakan User Experience Questionnaire Plus (UEQ+) dengan empat dimensi: Perspicuity, Efficiency, Dependability, dan Attractiveness. Kuesioner disebarkan kepada 82 pengguna aktif yang terdiri dari dosen dan tenaga kependidikan Polnep. Hasil menunjukkan Attractiveness (mean=1,45) dan Efficiency(mean=1,43) berkategori Positif, sedangkan Perspicuity (mean=0,698) dan Dependability (mean=0,256) berkategori Netral. Uji Mann-Whitney U mengungkap perbedaan persepsi signifikan antara kedua kelompok (p0,001), paling mencolok pada dimensi Dependability, yang dijelaskan melalui konsep konsekuensi penggunaan (stakes of use). Temuan ini menjadi acuan kuantitatif pengalaman sekaligus landasan rekomendasi perbaikan antarmuka berbasis data.
Comparative Analysis of Live Action Film Production Management Using Critical Path Method (CPM) Versus Conventional Production Processes Agung Nugroho; Mohammad Suyanto; Dhani Ariatmanto
Intechno Journal : Information Technology Journal Vol. 7 No. 1 (2025): July
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/intechnojournal.2025v7i1.2019

Abstract

The production of the film “Kinah dan Redjo”, by Universitas Amikom and MSV Sinema, has been completed, prompting researchers to conduct an analysis and evaluation of the production management applied. The focus of this study is on time and cost, which are critical factors supporting film production. An extended production duration was identified as a challenge, as it reduces effectiveness and leads to cost overruns. Therefore, this study aims to compare project management strategies for successful planning and control, using both conventional methods and the Critical Path Method (CPM). This analysis is expected to yield faster project completion and establish efficient, productive standards for future productions. The conventional approach indicated a total production duration of 681 days, comprising 120 days for pre-production, 18 days for production, and 551 days for post-production. Upon analysis using the CPM method, the total duration was reduced to 459 days, including 113 days for pre-production, 152 days for production, and 191 days for post-production. The graphical comparison of methods shows significant cost fluctuations across each production phase with the conventional method, especially increased costs during production despite the shorter duration. Conversely, the CPM method demonstrates more controlled and measurable durations and costs. This study underscores the importance of cost optimization, standardization of the Work Breakdown Structure (WBS), and hybrid modeling to enhance efficiency in dynamic film projects. Furthermore, this analysis serves as a foundational reference for the architectural planning of future applications incorporating artificial intelligence (AI) integration. AI has the potential to accelerate scheduling, optimize resource allocation, and streamline cost management and production design, thereby improving overall project efficiency.
Co-Authors Afifah Nur Aini Agung Nugroho Agus Fatkhurohman Ahmad Turmudi Zy Alief Dewana Iriawan Alva Hendi Muhammad Amali Amali Andi Sunyoto Anggi Muhammad Rifa'i Anggit Rianansyah Ari Rudiyan Astrid Pranadani Bambang Soedijono Bima Widianto Dewi Yustika Lakoro Dloifur Rohman Al Ghifari Edy Widodo Eko Rahmad Darmawan Ema Utami Ferda Ernawan Harapan Napitupulu Ibnu Hadi Purwanto M. Iqbal Abdullah Sukri2 M. Shahkhir Mozamir Maulana Brama Shandy Ma’ruf Aziz Muzani Minggu, Emanuel Mohammad Suyanto Muhammad Arif Kholis Majid Muhammad Ghozy Alkhairi Rainer Maghma Royali Rizki Firdaus Mulya Roy Jordy Syifa Nur Fauziah