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All Journal Register: Jurnal Ilmiah Teknologi Sistem Informasi International Journal of Artificial Intelligence Research BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Infomedia Specta Journal of Technology El-Mujtama: Jurnal Pengabdian Masyarakat El-Mujtama: Jurnal Pengabdian Masyarakat
Humaira, Fitrah Maharani
Unknown Affiliation
Religion Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Pengembangan Metode Klasterisasi Data Berbasis Hybrid Improved Artificial Bee Colony (IABC) dan K – Harmonic Means Musa, Saiful Bahri; Humaira, Fitrah Maharani; Widiartha, I Made; Herumurti, Darlis; Arifin, Agus Zainal; Fiqar, Tegar Palyus
Specta Journal Vol 2 No 3 (2018): SPECTA Journal of Technology
Publisher : Specta Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (466.517 KB) | DOI: 10.0610/specta.v2i3.3

Abstract

One of data grouping process method is k-harmonic clustering method (KHM) which has a relatively short and simple process. However, it has a weakness at cluster center point. Randomly formed cluster center point causes difficulty to converge solutions. One way to solve the problem at the cluster center point requires a method which has a global solution for KHM. The method is Improved artificial bee colony (IABC), improvement of artificial bee colony (ABC) method based on behavior patterns of honey bee colony in food searching process. Advantage of the IABC method is able to have more optimum global solution. This research proposes a new method of clustering using improved artificial bee colony and K-Harmonic means (IABC-KHM) to optimize the center point in clusters that lead to global solution. In this study, the IABC is functioned for finding the most optimum cluster center point for the data clustering process using KHM. Furthermore, the performance test of the IABC-KHM clustering method is compared with ABC and ABC-KHM methods on three different datasets. The result of mean value of best function of IABC-KHM method of Iris dataset is 152,87, Contraceptive Method Choice dataset is 918,54, and Wine dataset is 31,01. Moreover, the result of the average value of the best F-Measure method IABC-KHM Iris dataset is 0.90, the Contraceptive Method Choice dataset is 0.41, the Wine dataset is 0.95. To conclude, IABC-KHM method has successfully optimized the position of cluster center point that directs the cluster result which has global solution.
Rancang Bangun Sistem Informasi Sekolah di SMK Negeri 1 Jetis Mojokerto Yunanto, Andhik Ampuh; Martono, Hero Yudo; Prasetyaningrum, Ira; Ahsan, Ahmad Syauqi; ., Nailussa’ada; Asmara, Rengga; Wibowo, Prasetyo; Santoso, Dian Septiani; Humaira, Fitrah Maharani; Al, Mohammad Jawahir; Panggalih, Bintang Ampuh; Hidayatullah, Taufiq; Zufar, Farhan Izzudin Az; Hasnaa, Rosyiidah
El-Mujtama: Jurnal Pengabdian Masyarakat Vol 4 No 2 (2024): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v4i2.5358

Abstract

The school information system, especially the Industrial Work Practices activity attendance system at SMKN 1 Jetis, is still done manually, that is, it still uses books and you have to fill in an activity journal every day in that book. After the internship ends, students are asked to collect the books, which the teacher will use to collect data on whether the student skipped class, permission and so on. Meanwhile, teachers do not have other data that can be used for data collection if the book is damaged or lost. This problem occurs because there is no system or application that is able to provide convenience for the process of collecting data and checking accurately. This information system created uses web or mobile technology which is tailored to the needs of system users and can make it easier for teachers to carry out the process of checking student attendance at internship activities through this attendance application, and we also provide a comparison of this application with other applications in order to determine the quality application quality and to determine the development of application features aimed at making it easier for users to use the application.
Implementasi Algoritma Apriori dalam Penetapan Strategi Penjualan pada Supermarket XYZ Berbasis Streamlit Web App Mustafa, Nadine Aliyah; Susetyoko, Ronny; Fadliana, Alfi; Humaira, Fitrah Maharani
Jurnal Infomedia: Teknik Informatika, Multimedia, dan Jaringan Vol 10, No 1 (2025): Jurnal Infomedia
Publisher : Politeknik Negeri Lhokseumawe

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

Abstract

Supermarket XYZ merupakan ritel modern berbasis syariah yang memiliki potensi besar dalam pemanfaatan data transaksi untuk mendukung pengambilan keputusan strategis. Namun, hingga saat ini, data transaksi yang tersedia belum dimanfaatkan secara optimal. Penelitian ini bertujuan untuk menerapkan algoritma Apriori guna menemukan pola pembelian produk yang sering terjadi secara bersamaan, serta mengembangkan aplikasi web interaktif berbasis Streamlit untuk menyajikan hasil analisis secara real-time. Data yang digunakan merupakan transaksi penjualan tahun 2023 dari salah satu cabang Supermarket XYZ yang terdiri dari 162.980 record. Penelitian dilakukan melalui tahapan pengumpulan data, data preprocessing, Exploratory Data Analysis (EDA), penerapan algoritma Apriori, serta pembangunan antarmuka aplikasi menggunakan Streamlit. Hasil dari algoritma Apriori menunjukkan adanya 18 aturan asosiasi, dengan aturan terkuat yaitu pembelian Harmony Orange, Harmony Lemon, dan Harmony Melon yang diikuti oleh pembelian Harmony Strawberry. Berdasarkan temuan ini, dua strategi penjualan utama diusulkan: pertama, optimalisasi tata letak produk dengan menyusun produk-produk yang memiliki asosiasi kuat secara berdekatan; dan kedua, penerapan product bundling untuk produk-produk yang sering dibeli bersamaan. Aplikasi Streamlit yang dikembangkan memberikan kemudahan bagi stakeholder untuk mengunggah data, memvisualisasikan pola pembelian, serta mengevaluasi strategi secara interaktif dan efisien. Penelitian ini menunjukkan bahwa pemanfaatan data mining dan aplikasi interaktif mampu mendukung perencanaan strategi penjualan yang lebih efektif dan berbasis data.
PANEL DATA REGRESSION MODEL FOR PREDICTING ECONOMIC GROWTH BEFORE AND DURING THE COVID-19 PANDEMIC IN EAST JAVA PROVINCE Susetyoko, Ronny; Satriyanto, Edi; Fadliana, Alfi; Humaira, Fitrah Maharani
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 4 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss4pp2121-2134

Abstract

Gross Regional Domestic Product (GRDP) is one of the key indicators to determine the economic condition of a region in a certain period. GRDP at constant prices has a positive and significant effect on economic growth . This study aims to predict economic growth in East Java before and during the Covid-19 pandemic based on the structural components of regional revenue and expenditure budget realization using panel data regression with data sources from the Directorate General of Fiscal Balance. The results of this study, the best model is the Fixed Effect Model (FEM) with R-Squared 0.99991 and Adj. R-Squared 0.99987. MSE, MAD and MAPE values on the training data are 338724.9919, 259.7182 and 0.6296 respectively. While the MSE, MAD and MAPE values in the testing data are 1716324.2736, 445.7959 and 1.0692 respectively. At the 95% confidence level, Locally Generated Revenue (LGR), Transfers to Regional and Village Funds (TRVF), and Other Revenue (OR) are not significant in the model or have little effect. But at the 99.9% confidence level, all factors (cross section) have a very significant effect. This can be interpreted that local wisdom, or the characteristics of each region/city has a major contribution to economic growth.
Pengembangan dan Implementasi Chatbot Pelayanan Masyarakat Berbasis Dialogflow di Kelurahan Gebang Putih Surabaya Nailussa’ada, Nailussa’ada; Martono, Hero Yudo; Yunanto, Andhik Ampuh; Wibowo, Prasetyo; Santoso, Dian Septiani; Prasetyaningrum, Ira; Humaira, Fitrah Maharani; Khoirunnisa, Asy Syaffa; Alfaqih, Wildan Maulana Akbar; Al Falah, Adam Ghazy
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 5 No. 1 (2025): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v5i1.6262

Abstract

Residents of Gebang Putih, Surabaya, often face challenges in accessing administrative information, such as procedures for creating ID cards, updating family data, and registering for marriage. To address these issues, a chatbot based on Dialogflow was developed and integrated with the Telegram platform and a mobile application called Kagapi. This study included data collection from official government websites, interviews with local office staff, and dataset preparation for chatbot training. The results showed that the chatbot achieved a 92% accuracy rate in understanding and responding to user queries, with an average response time of 2-3 seconds. Integration with the mobile application expanded service features, including online queue management. Testing and evaluation by local office staff and residents indicated that the chatbot improved information accessibility and service efficiency by up to 80%. This chatbot demonstrates the potential to serve as an innovative solution in enhancing public service transparency and accessibility.
Interactive Dashboard Development for Student Performance Monitoring: Integrating Academic and Socio-Demographic Data Humaira, Fitrah Maharani; Yuwono, Wiratmoko; Asmara, Rengga; Widodo, Rusminto Tjatur; Susetyoko, Ronny; Adawiyah, Robi’Atul
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1590

Abstract

Strategic decision  making in institutional settings is often constrained by the fragmentation and heterogeneity of data across multiple sources. This study addresses this critical gap by developing and validating an interactive web-based dashboard designed to consolidate and transform heterogeneous institutional data from seven distinct sources into actionable insights. A complex feature engineering pipeline was necessitated, involving comprehensive data integration and structural consistency checks. Techniques like Text Normalization and Feature Mapping were applied to clean over a lot of inconsistent entries, alongside Feature Binning and Extraction to generate analytically robust metrics. The system was implemented using Python for data processing and ReactJS for the dynamic interface, and its viability was validated via structured User Acceptance Testing (UAT). The subsequent descriptive analysis provided key insights into student demographics, geographical reach, and enrollment compliance across academic levels. Crucially, the comprehensive UAT resulted in an outstanding overall acceptance score of very worthy. However, feedback analysis indicated a dominant user focus on visual aspects, with noted complaints regarding the suboptimal color scheme and contrast impacting user experience. The findings confirm that complex feature engineering is a viable and effective strategy for transforming fragmented institutional data into an immediately deployable strategic resource. This system offers a validated blueprint for data consolidation in higher education. Future work is accordingly  directed toward revising the color palette and contrast ratios to enhance visual clarity and user experience, alongside continuous optimization of data completeness to maintain the dashboard’s utility
Optimasi Chatbot Layanan Informasi Publik Berbasis Button-Based Interaction di Kelurahan Gebang Putih Surabaya Nailussa’ada, Nailussa’ada; Martono, Hero Yudo; Yunanto, Andhik Ampuh; Wibowo, Prasetyo; Santoso, Dian Septiani; Prasetyaningrum, Ira; Humaira, Fitrah Maharani
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 6 No. 1 (2026): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

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

Abstract

This community service study describes the optimization of a public information service chatbot in Gebang Putih Urban Village, Surabaya. The previous Telegram-based chatbot relied on command-based interaction, requiring citizens to type specific keywords and read long messages, which likely increased interaction cost. The study aims to transform the chatbot into button-based interaction and redesign its information architecture so that services are organized hierarchically and presented in shorter steps. A descriptive qualitative research and development (R&D) approach is applied at the development and internal validation stage. Service content is aligned with the official SSWALFA portal and the Surabaya Dukcapil website, and implemented using the low-code platform ManyChat. The resulting chatbot features more structured interaction flows, with clearer service categories, requirements, and procedures. These design improvements are expected to reduce interaction cost and enhance the potential usability of the chatbot.
Development of an Interactive Augmented Reality-Based Weather Forecast Simulation with Automated BMKG Data for Enhanced TV Broadcasting Zikky, Moh.; Alexander, Robby; Eka Darmawan, Zakha Maisat; Humaira, Fitrah Maharani; Safira, Laily Asna
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 11 No 2 (2025): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v11i2.5117

Abstract

The weather has a significant impact on human activities. Weather data are used in various industries. Recently, Augmented Reality (AR) technology has been widely used to enhance content representation through multidimensional visualization. Television stations utilize AR to capture viewers' attention in the programs they broadcast; AR has the potential to enhance communication between viewers and the content. Our research on developing an AR application for an engaging immersive reality implementation aims to simulate a virtual stage in TV broadcasts, displaying real-time weather data from the Indonesian Meteorology, Climatology, and Geophysics Agency (BMKG) using the latest SQL database. The implementation of the AR system as a multimedia mode in delivering weather information increases the attractiveness and engagement of viewers. This system operates by translating weather data from SQL into key parameters for pre-built 3D visualizations, which appear at marked coordinates. This application runs on the Windows platform and can be managed via Android, allowing presenters to convey engaging scenarios. Research on East Java BMKG data showed that the design function to transform BMKG data into a virtual weather animation data was significantly successful in both synchronizations.
Co-Authors ., Nailussa’ada Adawiyah, Robi’atul Agus Zainal Arifin Ahsan, Ahmad Syauqi Al Falah, Adam Ghazy Al, Mohammad Jawahir Alexander, Robby Alfaqih, Wildan Maulana Akbar Alfi Fadliana Andhik Ampuh Yunanto Asmara, Rengga Darlis Herumurti Edi Satriyanto Eka Darmawan, Zakha Maisat Hasnaa, Rosyiidah I Made Widiartha Ira Prasetyaningrum Khoirunnisa, Asy Syaffa Martono, Hero Yudo Moh. Zikky, Moh. Mustafa, Nadine Aliyah Nailussa’ada, Nailussa’ada Panggalih, Bintang Ampuh Rusminto Tjatur Widodo Safira, Laily Asna Saiful Bahri Musa Santoso, Dian Septiani Susetyoko, Ronny Taufiq Hidayatullah Tegar Palyus Fiqar Wibowo, Prasetyo Wiratmoko Yuwono Zufar, Farhan Izzudin Az