Article Per Year (5 Year)
p-Index From 2021 - 2026
7.142
P-Index
This Author published in this journals
All Journal Syntax Jurnal Informatika CommIT (Communication & Information Technology) Scan : Jurnal Teknologi Informasi dan Komunikasi Proceeding International Conference on Information Technology and Business Jurnal Teknologi Informasi dan Ilmu Komputer International conference on Information Technology and Business (ICITB) Jurnal Sistem Informasi dan Bisnis Cerdas Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer INTEGER: Journal of Information Technology JIEET (Journal of Information Engineering and Educational Technology) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Jurnal Teknologi Informasi dan Multimedia Jurnal Informatika dan Rekayasa Elektronik bit-Tech Journal of Appropriate Technology for Community Services JATI (Jurnal Mahasiswa Teknik Informatika) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jurnal Layanan Masyarakat (Journal of Public Service) Jifosi Nusantara Science and Technology Proceedings KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Dan Tekonologi Komputer (JITEK) East Asian Journal of Multidisciplinary Research (EAJMR) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Teknik Informatika dan Teknologi Informasi Jurnal Krisnadana JUSIFOR : Jurnal Sistem Informasi dan Informatika Jurnal Pepadu Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Krisnadana Jurnal Informatika Polinema (JIP) Router : Jurnal Teknik Informatika dan Terapan Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Repeater: Publikasi Teknik Informatika dan Jaringan Prosiding Seminar Nasional Ilmu Teknik Router : Jurnal Teknik Informatika dan Terapan Jurnal Informatika Dan Tekonologi Komputer
Henni Endah Wahanani
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Social Sciences Other

Published : 82 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 82 Documents
Search

 5   6   7   8   9 
Implementasi Manajemen Bandwidth Menggunakan Metode Queue Tree dengan PCQ di SMK Negeri 1 Surabaya Fikri Dwilaksono; Henni Endah Wahanani; Mohammad Idhom
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 2 (2025): Juli: Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i2.1029

Abstract

With the rapid advancement of information technology, maintaining a stable and efficient computer network has become essential, particularly in educational settings. SMK Negeri 1 Surabaya encounters difficulties in managing its limited bandwidth because of the large number of users accessing the network simultaneously. This research focuses on applying bandwidth management through the Queue Tree technique combined with Per Connection Queuing (PCQ) on the school's computer network using Mikrotik hardware. The approach aims to enhance network performance by improving throughput, minimizing delays, and stabilizing jitter. Evaluation of Quality of Service (QoS) indicators—including throughput, packet loss, delay, and jitter—demonstrated favorable outcomes, with all metrics categorized as good. Findings confirm that using Queue Tree and PCQ methods contributes to fairer bandwidth distribution, mitigates network congestion, and improves overall network quality in the educational environment. This study offers a practical solution to support teaching and administrative processes by providing a more reliable and efficient network infrastructure.
Implementasi Metode Fuzzy Mamdani pada Sistem Pakar Mendiagnosis Penyakit Demam Berdarah Thomas Andrew Imanzaghi; Henni Endah Wahanani; Agung Mustika Rizki
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 3 No. 1 (2025): Februari: Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v3i1.378

Abstract

Indonesian people mostly tend to ignore health, especially dengue fever because the symptoms that arise are similar to common fever, this causes people with common fever symptoms to be reluctant to see a doctor. This study aims to help the public recognize the symptoms of dengue fever early by using the implementation of the fuzzy method in the dengue fever disease diagnosis system that uses specific datasets as a reference. Mamdani's fuzzy method, which is based on linguistic frameworks and fuzzy concepts, allows for the management of knowledge from experts for intuitive decision-making. The test results using the Confusion Matrix, the system showed an accuracy of 92.8%, an average precision of 90.6%, a recall of 95.8%, and an F1-Score of 92.6%, with an effectiveness value of 100%. This study proves that the system is able to provide information about dengue fever, diagnose based on symptoms, and offer solutions for its treatment.
Implementasi Algoritma K-Nearest Neighbor (KNN) untuk Identifikasi Penyakit pada Tanaman Jeruk Berdasarkan Citra Daun Abiyan Naufal Hilmi; Eva Yulia Puspaningrum; Henni Endah Wahanani
Router : Jurnal Teknik Informatika dan Terapan Vol. 2 No. 2 (2024): Juni : Router: Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v2i2.78

Abstract

The development of image processing technology today can create systems that are able to effectively recognize digital images, one of which is in the field of agriculture for plant disease identification. Citrus plants experience a decrease in productivity due to pathogen attacks on leaves such as Black Spot, Cancer, and CVDP so that disease identification is needed. The classification method that can be used to classify images is the K-Nearest Neighbor (K-NN) algorithm because it is simple and has high accuracy in image management. This study aims to implement and determine the performance of the K-NN algorithm in identifying citrus plant diseases based on leaf images. This research uses a dataset from the Kaggle website of 1,096 images. There are 12 research scenarios using the comparison between test data and training data as much as 4, namely (90% training data + 10% test data, 80% training data + 20% test data, 70% training data + 30% test data, 60% training data + 40% test data) and testing with 3 random state values (42, 32, 22). The results showed that the K-NN algorithm is very effective in identifying citrus plant diseases with the highest accuracy value in the 90% training data scenario and 10% test data with a value of K = 2 which is 98.5%.
PEMBUATAN SMARTCONTRACT APLIKASI FUNDRAISING BERBASIS BLOCKCHAIN Budianto Budianto; Retno Mumpuni; Henni Endah Wahanani
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 3 (2023): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i3.2001

Abstract

Fundraising activities have become a common method to achieve various objectives, including charitable activities and gathering funds from investors for companies. However, cases of fund misuse often occur, leading to inappropriate use of funds or even unfair loss. Therefore, an innovative approach is needed to enhance trust and transparency in the fundraising process. In this study, the use of smart contracts on a blockchain network will be employed as a solution to ensure the security and integrity of each transaction in fundraising activities. By utilizing smart contracts, all transactions in fundraising activities can be verified by all users on the blockchain network. Transaction data recorded on the blockchain is permanent and tamper-proof, preventing any manipulation or fund misuse. Leveraging smart contracts and blockchain technology, fundraising activities can be conducted more efficiently, transparently, and securely. This approach helps improve trust among involved parties and reduces the risk of fund misuse
PEMBERDAYAAN PEREMPUAN WIRAUSAHA BERBASIS INOVASI DAN TEKNOLOGI DIGITAL UNTUK PENGUATAN EKONOMI LOKAL DI DESA JABUNG, KECAMATAN PANEKAN, KABUPATEN MAGETAN, JAWA TIMUR Henni Endah Wahanani; Swasti, Ika Korika; Sholihatin, Endang; Affro, Salma; Arimawan, Kesya Sakha Nesya
Jurnal Pepadu Vol 6 No 3 (2025): Jurnal Pepadu
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v6i3.8197

Abstract

ABSTRACT This community engagement initiative aims to empower women entrepreneurs in Jabung Village, Panekan Subdistrict, Magetan Regency, East Java, through the implementation of product innovation and the utilization of digital technology to strengthen the local economy. The primary challenges faced by the target group include limited knowledge of digital marketing, poor packaging quality, and restricted market reach. The program was executed through a series of activities comprising training sessions, technology transfer, demonstrations, and intensive mentoring, involving 15 women entrepreneurs as core partners. A participatory approach based on Participatory Rural Appraisal (PRA) was employed, enabling active involvement of participants in every stage of the program. The outcomes indicate a significant improvement in the participants' ability to manage digital business accounts on platforms such as Tokopedia, Instagram Business, Facebook Business, and TikTok Business, with an average understanding increase of 73%, as measured by pre- and post-test evaluations. Furthermore, 85% of participants successfully created and managed online business accounts, 75% consistently uploaded product content with enhanced appeal, and 80% actively utilized social media for promotional purposes. Innovation was also evident in packaging design, with 85% of participants developing brand-identified labels, thereby enhancing consumer perception and market appeal. The tangible impacts of the program include an average sales increase of 25%, expansion of market reach beyond the village, and a rise in women's contribution to household income from 10–15% to 25–30%. These findings underscore that MSME digitalization through training, technology transfer, and branding enhancement can significantly improve women's economic independence while sustainably strengthening the local economy. Keywords: women empowerment, entrepreneurship, digitalization, product innovation, branding, local economy.
Optimasi Hyperparameter CatBoost dengan Particle Swarm Optimization untuk Klasifikasi Hipertensi Al Afgany, Muhammad Iqbal; Ani Dijah Rahajoe; Wahanani, Henni Endah
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i2.16292

Abstract

Hypertension is a cardiovascular disease affecting 11,952,694 residents aged ≥15 years in East Java in 2019, yet only 40.1% received healthcare services. This study aims to analyze the effect of Particle Swarm Optimization (PSO) on CatBoost algorithm performance in hypertension level classification. The research dataset combined data from Puskesmas Kepatihan Gresik (191 data) and Kaggle (12,500 data) divided with an 80:10:10 ratio. PSO was used for CatBoost hyperparameter optimization including iterations, depth, learning_rate, and l2_leaf_reg. Model evaluation utilized accuracy, precision, recall, and F1-score metrics. Results show that CatBoost with PSO optimization achieved 96% accuracy with optimal configuration of iterations=100, depth=3, learning_rate=0.055, and l2_leaf_reg=3, 2% higher than without optimization (94%). This study proves the effectiveness of PSO in optimizing CatBoost hyperparameters for more accurate early hypertension detection
Sistem Pendukung Keputusan Eligible Seleksi Nasional Berdasarkan Prestasi (SNBP) Menggunakan Metode Additive Ratio Assessment (ARAS): Studi Kasus: SMAN 8 Surabaya Rhiziqo Adjie Syahputra; Henni Endah Wahanani; Budi Mukhamad Mulyo
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.205

Abstract

The selection process for students eligible for the National Selection Based on Achievement (SNBP) requires objective and structured assessment because it involves various academic and non-academic criteria. This study aims to develop a Decision Support System (DSS) to determine the ranking of SNBP eligible students at SMAN 8 Surabaya using the Additive Ratio Assessment (ARAS) method. The ARAS method is used to evaluate student alternatives based on their report card scores for semesters 1-5, academic ability tests (TKA), academic achievements, non-academic achievements, discipline, organizational activity, and attendance through a normalization process to obtain relative Ki values. The results of the study show that the system is capable of producing objective student rankings with relative utility values (Ki) ranging from 95.15 to 89.38, where the highest value indicates the best alternative from all alternatives. The application of ARAS-based DSS can improve the efficiency, transparency, and consistency of the SNBP student selection process.
An Adaptive DTN Routing Protocol Using a Q-Learning Framework for Archipelagic Emergency Networks Agussalim Agussalim; Henni Endah Wahanani; Andreas Nugroho Sihananto
CommIT (Communication and Information Technology) Journal Vol. 20 No. 1 (2026): CommIT Journal (in press)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Natural disasters in archipelagic regions often disrupt communication networks, particularly in geographically isolated islands where terrestrial infrastructure is limited and highly vulnerable. Hence, adaptive, infrastructure-independent solutions are required to maintain connectivity during emergencies. The research proposes an adaptive routing protocol for Delay Tolerant Network (DTN), named Q-learning-based Forwarding Routing (QFR), designed to enhance data delivery performance in disaster scenarios characterized by intermittent connectivity and constrained resources. QFR employs a lightweight, tabular Q-learning framework to make intelligent forwarding decisions based on real-time state information, including buffer occupancy, encounter history, and local node density. The protocol further integrates adaptive replica control and prioritybased scheduling mechanisms to regulate congestion and optimize bandwidth and buffer utilization. Performance evaluation is conducted using the ONE Simulator with realistic maritime mobility traces derived from vessel movement patterns around Madura Island, Indonesia, representing inter-island emergency communication conditions. The results indicate that QFR consistently outperforms benchmark protocols such as Epidemic and PRoPHETv2, particularly in maintaining a high delivery ratio under heavy traffic loads while keeping routing overhead moderate and latency stable. Time-series analysis further demonstrates QFR’s ability to improve its performance over time as the agent learns. The key finding is that a lightweight, adaptive algorithm based on a tabular Q-learning framework provides a practical and effective solution for reliable communication in resource-constrained emergency networks, avoiding the computational complexity of deep reinforcement learning approaches.
LSTM with Attention Optimization for IDR-USD Exchange Rate Forecasting Muhammad Abdullah Hafizh; Anggraini Puspita Sari; Henni Endah Wahanani
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3131

Abstract

This study proposes the application of the LSTM-Attention model to forecast the IDR exchange rate against the USD. Exchange rate stability is an important element in national and international economic resilience systems, as currency fluctuations can have a significant impact on trade, investment, banking, and household consumption. In the case of Indonesia, which is highly dependent on imported goods, exchange rate fluctuations cause an increase in import costs, rising inflation, and a decline in the competitiveness of export products in the global market, making accurate forecasting of exchange rate movements essential for economic policy, business strategy, and risk management. Statistical models such as ARIMA have been widely applied in exchange rate forecasting, but they have difficulty capturing the nonlinear of time series data. In recent years, machine learning methods such as Long Short-Term Memory (LSTM) have demonstrated their ability to handle timeseries data. Previous studies have shown that LSTM models generally outperform traditional methods, but they still face limitations in identifying important features across time steps. To overcome this problem, the Attention mechanism allows the model to focus on the most informative parts of the input sequence, thereby improving prediction accuracy. Experimental results show that the LSTM-Attention achieves MAPE of 1.28% and R2 of 0.97 and runtime 45% faster than BiLSTM. While BiLSTM achieved slightly higher accuracy, it’s required nearly twice the training time. Findings indicates that the proposed model offers practical choice for real-time exchange rate forecasting.
Fuzzy C-Means Clustering of Regencies and Cities Based on Total Sanitation Society Ananda Azra Razali; Eva Yulia Puspaningrum; Henni Endah Wahanani
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3180

Abstract

The Community Based Total Sanitation (STBM) program is a national initiative designed to enhance public health by promoting clean and healthy living habits. However, its implementation in several regions, including East Java Province, continues to encounter a number of challenges, as several sanitation indicators have yet to reach the desired targets. This study aims to group the sanitation performance of regencies and cities in East Java using the Fuzzy C Means (FCM) algorithm and visualize the outcomes through thematic maps to provide clearer and more informative spatial insights. Six key indicators. Six key indicators CTPS, PAMMRT, PSRT, PLCRT, PKURT, and Healthy Home Access were analyzed as percentages, with variable selection and normalization conducted using the Min Max Scaler to ensure comparable value ranges across datasets. The clustering validity was assessed using the Davies Bouldin Index (DBI), where the lowest value of 0.9134 was achieved for three clusters, indicating the most optimal grouping configuration. The resulting clusters represent regions with high, medium, and low sanitation achievement levels, while spatial visualization reveals that lower-performing regions are largely concentrated in the eastern part and the Madura area. From a practical standpoint, the findings of this study can serve as a foundation for policy formulation, intervention prioritization, and more efficient resource allocation to improve regional sanitation performance in a focused and sustainable manner.
Co-Authors Abdi, Harris Cipta Abiyan Naufal Hilmi Achmad Junaidi Aditia Mieka Darminta Adityawati, Dewi Affro, Salma Agung Mustika Rizki Agung Mustika Rizki, Agung Mustika Agussalim Agussalim Agussalim, Agussalim Ahmad Anwar Saifurridzal Akbar, Fawwaz Ali Al Afgany, Muhammad Iqbal Al Hamda, Veqqy Ananda Azra Razali Andreas Nugroho Sihananto Anggraini Puspita Sari Anggraini Puspitasari Sari Ani Dijah Rahajoe Aniisah Eka Rahmawati Arif Saifudin, Muhamad Arif, M. Arimawan, Kesya Sakha Nesya Arrosyid, Muhammad Habib Arum Prabowo, Galih Aulia, Rhimba Az-zahra, Firlie Aurellia Bagaskara, Bregas Arya Bariq Satrio Yudoko Basuki Rahmat Masdi Siduppa Budi Mukhamad Mulyo Budi Nugroho Budianto Budianto Chystia Aji Putra Darminta, Aditia Mieka Eka Zuni Selviana Endang Sholihatin Erlangga Wicaksono, Dewa Erlina Diah Karisma Eva Yulia Puspaningrum Fadhilasari, Annisa Fetty Tri Anggraeny Fikri Dwilaksono Firza Prima Aditiawan Fitriansyah, Muhammad Daffa Hamzah Dimas Syah Reza Hermawan, Oky I Made Suartana I Nyoman Sujana idhom, Mohammad IMANDAYANTI, NUR EZA Intan Yuniar Purbasari inthan anggraini, dieas Islah Rachmawati Lina Nurlaili, Afina Made Hanindia Prami Swari Mandyartha, Eka Prakarsa Mohamad Ilham Prasetyo Raharjo Mohammad Idhom Muchammad Syamsu Huda Muhammad Abdullah Hafizh Muhammad Idhom Muhammad Rizki Alamsyah Muhammad, rizal Muttaqin, Faisal Nafa Nabila El Indri naufal firdaus, ahmad Nugroho, Budi Nugroho, Budi Nugroho, Budi Nur Firmansyah, Taufik Nurlaili, Afina Lina Phitria, Shaum Prakoso, Galih Indo Putra, Chrystia Aji Putra, Chystia Aji Putri, Della Atika Raditya Dimas Libriawan Rahmawati, Aniisah Eka Ramadhaniar, Alfi Rayhan Rizal Mahendra Retno Mumpuni Retno Mumpuni Rhiziqo Adjie Syahputra Salsabila, Belia Putri Sandy Rizkyando Sandy, Aditya Noor Saputra, Wahyu S.J. Saputro, Fajar Arif Eko Shabika Aqmarina, Azzuraa Sitompul, Pelean Alexander Jonas Soedarto, Teguh Suartana, I Made Sugiarto Sugiarto - SUGIARTO - Sukirmiyadi, Sukirmiyadi Swasti, Ika Korika Syahbagus Radithya Haryo Santoso TATI NURHAYATI Thohir, A. Zaki Thomas Andrew Imanzaghi Vierino, Farrel Tiuraka Vita Via, Yisti Wahono, Bari Hade Variant Yudha Asmara, I Wayan Zaim, Mohammad Syarifuz