Article Per Year (5 Year)
p-Index From 2021 - 2026
7.912
P-Index
This Author published in this journals
All Journal JUITA : Jurnal Informatika Jurnal Ilmiah Universitas Batanghari Jambi IT JOURNAL RESEARCH AND DEVELOPMENT JURNAL ILMIAH INFORMATIKA Compiler Jurnal Nasional Komputasi dan Teknologi Informasi INTEK: Informatika dan Teknologi Informasi TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Jurnal Informatika Kaputama (JIK) Infotekmesin Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) JATI (Jurnal Mahasiswa Teknik Informatika) JIKA (Jurnal Informatika) eScience Humanity Journal Jurnal Puan Indonesia Internet of Things and Artificial Intelligence Journal Journal of Informatics and Electronics Engineering Scientific Journal of Informatics Jurnal Komputer dan Teknologi Informasi Computer & Science Industrial Engineering Journal Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Nia Ekawati
Politeknik TEDC
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities 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 Law, Crime, Criminology & Criminal Justice Mechanical Engineering Neuroscience Public Health Social Sciences Transportation Other

Published : 48 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 48 Documents
Search

 1   2   3   4   5 
Rancangan Sistem Informasi Penelitian Di Politeknik TEDC Bandung Ekawati, Nia; Lestari, Dina Shinta
Journal of Informatics and Electronics Engineering Vol 3 No 1 (2023): Juni 2023
Publisher : Unit Penelitian dan Pengabdian kepada Masyarakat Politeknik TEDC Bandung Jl. Pesantren Km 2 Cibabat Cimahi Utara – Cimahi 40513 Jawa Barat – Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70428/jiee.v3i1.720

Abstract

A good and quality education in a university is to carry out Tridharma Perguruan Tinggi activities regularly, one of these activities is research. Research is very useful and helps to improve the quality of education in a university. The scientific repertoire of each lecturer is certainly different, meaning that the researches that exist in the Higher Education environment have different diversity. Research in the Bandung TEDC Polytechnic environment is currently quite diverse because it has 12 different sciences. However, the research conducted by TEDC Bandung Polytechnic lecturers has not met expectations, it still needs improvement in terms of facilities and infrastructure for research activities. One of them is an Information System for managing Research in the Bandung TEDC Polytechnic environment. The purpose of this research is how to design a research information system at the Bandung TEDC Polytechnic, while the method used in this research is an Object Oriented Technology method. Based on the research objectives previously described, the results of the research at this time are designs that are made according to the needs as a means and infrastructure for Lecturer Research activities. It can be concluded that the design that has been made can facilitate the preparation of facilities and infrastructure in the Bandung TEDC Polytechnic environment.
Prediksi Harga Cabai Merah Menggunakan Jaringan Syarat Tiruan Ekawati, Nia; Wilson, Piyora
Journal of Informatics and Electronics Engineering Vol 1 No 2 (2021): Desember 2021
Publisher : Unit Penelitian dan Pengabdian kepada Masyarakat Politeknik TEDC Bandung Jl. Pesantren Km 2 Cibabat Cimahi Utara – Cimahi 40513 Jawa Barat – Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (722.884 KB)

Abstract

Kebutuhan pangan setiap manusia hampir setiap hari, maka terbentuklah proses jual beli. Ada Penjual dan pembeli kebutuhan pokok atau sekunder. Salah satu kebutuhan pokok pada pangan yaitu cabai. Cabai beraneka ragam, diantaranya cabai merah, cabai hijau, dan cabai rawit. Cabai yang sangat diminati oleh konsumen adalah cabai merah, karena rata-rata makanan yang menggunakan sambal supaya tidak terlalu pedas adalah cabai merah, selain itu warna merah yang menggoda pada makanan membuat selera makan akan tergoda walau hanya dilihat dari tampilan makanan tersebut. Namun cabai merah dapat mencapai harga tinggi apabila dibeli pada hari raya besar, seperti lebaran, dan hari natal serta tahun baru. Pengaruh lain apabila cabai mengalami musim hujan dengan curah hujan yang sangat tinggi dan musim kemarau yang cukup panjang. Selain itu tanaman cabai dapat dikatakan cukup sensitif, perawatannya pun harus diperhatikan dengan baik. Hal tersebut diatas yang dapat membuat harga cabai akan melambung tinggi. Konsumen harus cermat dalam membeli kebutuhan pangan ini, apabila harga sedang tinggi, cara mudah adalah memprediksi harga yang akan terjadi dimasa datang dengan bantuan aplikasi jaringan syaraf tiruan. Berdasarkan data diatas, maka rumusan masalah penelitian yaitu bagaimana memprediksi harga cabai menggunakan jaringan syaraf tiruan, dengan tujuan untuk memprediksi harga cabai menggunakan jaringan syaraf tiruan.
Sistem Informasi Manajemen Dan Keuangan Masjid Berbasis Website Rizki, Alfin; Ekawati, Nia
Journal of Informatics and Electronics Engineering Vol 3 No 2 (2023): Desember 2023
Publisher : Unit Penelitian dan Pengabdian kepada Masyarakat Politeknik TEDC Bandung Jl. Pesantren Km 2 Cibabat Cimahi Utara – Cimahi 40513 Jawa Barat – Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70428/jiee.v3i2.780

Abstract

The Great Mosque of Al-Muhajirin founded in 2013 is one of the Jami Mosque categories, which usually functions as a center for religious activities in residential areas, villages or sub-districts. However, until now, this mosque does not yet have an integrated information system to manage activities, disseminate information, process finance and process data accurately. This deficiency complicates management in mosque management. To overcome these problems or deficiencies, a website-based mosque management and financial information system was created using the Hypertext Preprocessor (PHP), the CodeIgniter framework and using the MySQL database. The stages of the research include needs analysis, system design, system implementation and system testing using the blackbox method and user acceptance test (UAT). UAT results show that 92% of respondents and the community stated that the website was suitable for use by the wider community. This system makes it easy for mosque administrators to manage mosque management effectively and provides accessibility for the public to get information about mosque announcements and activities from anywhere and at any time. With the creation of this information system, the Great Mosque of Al-Muhajirin will be more efficient and open in managing activities, information and finances as well as getting closer to the wider community.
Aplikasi Donasi Anak Yatim Berbasis Web Menggunakan Payment Gateway Ash Shiddiqy, Muhammad Fikri; Ekawati, Nia
Journal of Informatics and Electronics Engineering Vol 2 No 2 (2022): Desember 2022
Publisher : Unit Penelitian dan Pengabdian kepada Masyarakat Politeknik TEDC Bandung Jl. Pesantren Km 2 Cibabat Cimahi Utara – Cimahi 40513 Jawa Barat – Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (784.63 KB)

Abstract

Keterbatasan finansial yang dimiliki oleh sebuah panti asuhan, membuat terbatasnya operasional yang ada. Maka dari itu, panti asuhan membutuhkan bantuan dari donator-donatur yang berkeinginan membantu mereka. Namun, donator tersebut terkadang menginginkan adanya transparasi dana yang telah disalurkan oleh donator. Dengan adanya website untuk berdonasi, dapat menjadi solusi karena bisa dengan mudah di akses kapanpun dan dimanapun oleh perangkat komputer atau mobile hanya dengan menggunakan internet dan search engine. Metode perancangan aplikasi yang digunakan untuk membuat aplikasi donasi ini adalah dengan menggunakan metode Waterfall. Framework yang digunakan adalah Laravel, Vuejs dan NodeJs, Database MySQL dan Payment Gateway (midtrans). Berdasarkan hasil pengujian sistem User Acceptance Test (UAT) bahwa aplikasi ini terbukti dapat diterima dengan baik oleh pengguna dengan nilai persentase mencapai 93,3%, yang menunjukan bahwa aplikasi berbasis web ini dapat di terima dengan baik.
PENDEKATAN MUHAMMADIYAH DALAM MENANGANI PORNOAKSI DAN PORNOGRAFI DI ERA INDUSTRI 5.0 STUDI KASUS DAN ANALISIS STRATEGIS Rina Hasibuan, Wilda; Ekawati, Nia; Fathurohman, Oman
Jurnal Informatika Kaputama (JIK) Vol 9 No 2 (2025): Volume 9, Nomor 2, Juli 2025
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jik.v9i2.1143

Abstract

The phenomenon of pornoaction and pornography is increasingly concerning in the Industry 5.0 era, characterized by rapid advancements in digital technology and unlimited access to information. Muhammadiyah, one of the largest Islamic organizations in Indonesia, employs a strategic approach to tackle this issue by integrating Islamic values, fatwas from the Indonesian Ulema Council (MUI), and national regulations. This paper examines Muhammadiyah’s implementation of character education and digital literacy programs, alongside a strategic analysis of pornography prevention through case studies and synergy with legal policies. The findings indicate that Muhammadiyah’s approach effectively builds moral resilience in society and adapts well to the digital challenges of Industry 5.0.
Sentiment Analysis of Opinions on the Performance of the Governor of West Java in 2025 on Social Media X Using LSTM Safaat, Muhammad Apipudin; Ekawati, Nia
Compiler Vol 14, No 2 (2025): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v14i2.3152

Abstract

The rise of political discourse on Indonesian social media platforms such as X (formerly Twitter) creates opportunities and challenges for policymakers. Existing sentiment analysis methods often fail to handle informal language, slang, and sarcasm, leading to frequent misclassification that may misguide governance decisions. This study aims to establish the first benchmark for three-class sentiment analysis (positive, neutral, negative) in Indonesian political discourse using a Long Short-Term Memory (LSTM) model with culture-specific preprocessing. A dataset of 1,002 tweets on the performance of the Governor of West Java (Feb–May 2025) was collected, normalized for slang and typos, and enriched with a political lexicon. Manual annotation achieved high agreement (κ = 0.82). An LSTM model with 128 units and 30% dropout was trained and evaluated. Results show 95.88% training accuracy but only 36.32% validation accuracy, indicating severe overfitting. Misclassifications (42%) mainly stemmed from sarcasm and contextual ambiguity, with the lowest precision in the positive class (31%). The study contributes by (1) providing the first benchmark for Indonesian political sentiment, (2) demonstrating the value of culture-specific preprocessing, and (3) offering policy insights into latent dissatisfaction hidden in neutral tweets. Limitations include small dataset size and lack of sarcasm-aware mechanisms, suggesting future exploration of hybrid and transformer-based models.
Kompresi Adaptif untuk Streaming Multimedia Multi-Platform: A Review Ekawati, Nia; Tresnawati, Shandy; Hanief, Shofwan; Saputro, Wahju Tjahjo
INTEK : Jurnal Informatika dan Teknologi Informasi Vol. 8 No. 2 (2025)
Publisher : Program Studi Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37729/intek.v8i2.7167

Abstract

The current digital era is characterized by cross-platform multimedia consumption, which has become the backbone of information and entertainment, with video content dominating more than 82% of total global internet traffic. The main challenge of adaptive compression for multi-platform multimedia streaming lies in device heterogeneity, network conditions, and the need for Quality of Experience (QoE), as adaptive compression adjusts the bitrate, resolution, and encoding level in real-time. The aim of this research is to explore these issues through a literature review study to identify the scope, taxonomy, gaps, and proposed future research directions. The method used is a literature review covering 51 publications (interval 2019-2025) to examine conceptual aspects, system taxonomy (System Architecture Layer, Adaptation Strategy, Compression Technique, and Artificial Intelligence Model), and to identify research gaps. The review results show that streaming efficiency depends on adaptive compression mechanisms, with a research paradigm shifting from rule-based adaptation toward intelligent adaptive compression. Despite these developments, significant unaddressed gaps remain, particularly concerning synchronization across platforms based on different codecs, low-latency real-time AI compression, robust network adaptation solutions for 5G/B5G, and cross-dimensional integration within a single framework. Future research directions are proposed in platform-specific synchronization models, multi-constraint compression, adaptive AI for slicing, and energy optimization through Federated Learning.
Machine Learning-based Chatbot Model for Healthcare Service: A Bibliometric Analysis Nia Ekawati; Imam Riadi; Herman Yuliansyah
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 3 (2025): November (Special Issue)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i3.3050

Abstract

While machine learning-based chatbots hold significant potential in healthcare services, a comprehensive synthesis regarding their roles, user demographics, benefits, and limitations remains unavailable, hindering in-depth understanding and future development. This study aims to conduct a bibliometric analysis to identify implementation trends and the research landscape of ML-based chatbot models in healthcare, simultaneously highlighting relevant existing gaps. Analysis of Scopus data using VOSviewer and “Publish or Perish” reveals “machine learning”, “chatbot” and “healthcare” as dominant keywords, indicating intensive research focus areas with stable publication growth. The United States emerges as a central hub for international research collaboration, particularly in AI for malnutrition; however, several outlier countries require further integration. Deep learning algorithms are identified as a crucial methodological trend for future directions. Chatbots possess the potential to revolutionize healthcare by enhancing accessibility and efficiency. Nevertheless, effective implementation necessitates careful consideration of ethical aspects, privacy, and data quality. The identified research gaps underscore the urgency for a holistic synthesis to guide responsible and effective chatbot innovation.
PENGENALAN APLIKASI JIRA DALAM MANAJEMEN PROYEK DI SMK YPKK 1 SLEMAN, YOGYAKARTA Rudy Ansari; Rudy Ansari; Irwansyah Irwansyah; Irwansyah Irwansyah; Nia Ekawati; Nia Ekawati; Herman Herman; Sunardi Sunardi
PUAN INDONESIA Vol. 8 No. 1 (2026): Jurnal PUAN Indonesia Vol. 8 No. 1 Juli 2026
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v8i1.517

Abstract

The community service activity at SMK YPKK 1 Gamping aims to align the vocational education curriculum with industry standards through the introduction of Agile and Scrum methods using the JIRA application. The main challenge faced was the students' lack of understanding of professional project management tools, so this training focused on mastering JIRA features such as Scrum/Kanban boards and issue tracking. Through training and mentoring of 30 students, there was a significant increase in competence. Data shows that the highest score on the pre-test was 80 (9 participants), which then increased on the post-test to a perfect score of 100 achieved by 15 participants. The evaluation results concluded that 50% of participants had achieved the maximum level of understanding in operating JIRA. Thus, this implementation successfully bridged the gap between academic theory and the practical needs of the workplace, while equipping students with globally relevant project management skills.
EDUKASI MEDIA SOSIAL YANG CEPAT, KREATIF, DAN AMAN MELALUI DIGITAL TREASURE HUNT DI MADRASAH ALIYAH BINA INSANI Novita Lestari Anggreini; Nia Ekawati
PUAN INDONESIA Vol. 8 No. 1 (2026): Jurnal PUAN Indonesia Vol. 8 No. 1 Juli 2026
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v8i1.543

Abstract

Research by Effendy and Oktiani (2024) shows that cybersecurity literacy is crucial for adolescents in dealing with online manipulation. Based on this urgency, the community service team held an interactive counseling session themed " Fast, Creative, and Safe Social Media Education Through a Digital Treasure Hunt at Madrasah Aliyah Bina Insani "The activity took place on Thursday, January 22, 2026, in the classroom of MA Bina Insani. This seminar-style counseling was attended by 28 students who actively participated through discussions and question-and-answer sessions. As a token of appreciation, the team also presented a certificate of commendation as a souvenir. Field evaluations indicated that the school felt greatly assisted by the program. Through this activity, students began to understand digital threats such as cyberbullying and fake news. The Principal, Mr. Samsudin, S.Pd.I., welcomed and fully supported this program so that students could become more responsible in using social media.
Co-Authors Adrial, Rico Alfin Rizki Anugrah Bhakti, Rizki Tri Ari Sudrajat Arid Zenal Muchafidin Ash Shiddiqy, Muhammad Fikri Awfi Muhammad Ayu Hendrati Rahayu Castaka Agus Sugianto Chen, Dennis Dahlan Dahlan David David Dina Shinta Lestari Dini Rohmayani Elsari Fatkhur Jannati Erick, Erick Fathurohman, Oman Fawwaz Muhammad Syams Hapzi Ali Hasbi Nur Ichsan Herman Herman Herman Yuliansyah Ichsan, Hasbi Nur Ihsan Kamil, Ali Imam Fauzi Imam Riadi Irwansyah Irwansyah Irwansyah Irwansyah Iskandar, Rachmat Jalaludin Assuyuthi, Muhammad Keke Putri Yono Lestari, Dina Shinta Muhammad Fikri Ash Shiddiqy Nia Ekawati Novita Lestari Anggreini Ordano Tamba, Yogi Piyora Wilson Purwanti, Septiana Budi Raafidiani, Reni Rahayu, Alinia Putri Rahma, Julia rama_yani, liana Reni Raafidiani Rina Hasibuan, Wilda Rizki Tri Anugrah Bhakti Rizki, Alfin Rudy Ansari Rudy Ansari Safaat, Muhammad Apipudin Shandy Tresnawati Shandy Tresnawati Shandy Tresnawati Shofwan Hanief Siahaan, Bernad Oktavianus Siddiq, Maulana Fadjar Sunardi, Sunardi Syams, Fawwaz Muhammad Tati Ernawati Tresnawati, Shandy Wahju Tjahjo Saputro Wilson, Piyora Yanpitherszon Liunokas