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Comparative performance analysis of LSTM, GRU, and bidirectional neural networks for political ideology classification Afuan, Lasmedi; Hidayat, Nurul; Permadi, Ipung; Iqbal, Iqbal; Suprihanto, Didit; Bintang Pradana Yosua, Panky; Alfarez Marchelian, Reyno
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.9980

Abstract

Political ideology classification is crucial for understanding social polarization, monitoring democratic processes, and identifying bias on online platforms. This study compares the performance of long short-term memory (LSTM), gated recurrent unit (GRU), and bidirectional GRU (Bi-GRU) neural network models in classifying liberal and conservative political ideologies from social media text data. The Bi-GRU achieved the best results with 88.75% accuracy and 89.16% F1-score, highlighting its strength in contextual analysis. These findings suggest their applicability in areas such as election monitoring and the analysis of political discourse. This study contributes to the field of political text classification by offering a comparative analysis of deep learning architectures. The dataset utilized covers a wide range of issues, including social, political, economic, religious, and racial topics, demonstrating its comprehensive nature. Visualizations using WordCloud and uniform manifold approximation and projection (UMAP) reveal distinct ideological patterns, validating the dataset’s quality for training models. The findings underscore the importance of utilizing advanced bidirectional architectures for nuanced tasks, such as ideology classification, where contextual understanding is crucial. These insights open avenues for future research, such as the application of Bi-GRU in analyzing multilingual political ideologies or real-time sentiment tracking during election campaigns.
Perancangan Sistem Aplikasi Ujian Online Berbasis Web pada LPIA Jatimurni Menggunakan Laravel Iqbal, Iqbal; Soderi, Ahmad; Juwari, Juwari; Diantoro, Karno
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2750

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem ujian online berbasis web di LPIA Jatimurni guna meningkatkan efisiensi dan efektivitas proses evaluasi pembelajaran. Selama ini, sistem ujian masih dilakukan secara manual sehingga menimbulkan kendala seperti keterlambatan pengolahan nilai, pemborosan kertas, serta potensi kesalahan administrasi. Untuk mengatasi permasalahan tersebut, penelitian ini menggunakan metode pengembangan perangkat lunak Rapid Application Development (RAD) dengan framework Laravel dan database MySQL. Metode penelitian bersifat deskriptif kualitatif melalui observasi, wawancara, dan studi literatur. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu mengelola penyusunan soal, pelaksanaan ujian, hingga pengolahan hasil secara lebih cepat, akurat, dan terintegrasi. Pengujian sistem menggunakan Black Box Testing memperlihatkan bahwa aplikasi berjalan sesuai kebutuhan pengguna dan meningkatkan kepuasan baik dari sisi pengajar maupun siswa. Penelitian ini berkontribusi dalam menyediakan solusi teknologi yang relevan bagi lembaga pendidikan nonformal serta dapat menjadi rujukan dalam pengembangan sistem ujian online pada konteks serupa.
Application of Feature Selection and Comparative Analysis of Machine Learning Models for Rainfall Prediction in Jakarta Sulistyowati, Indah Dwi; Sunarno, Sunarno; Iqbal, Iqbal; Syamsuri, KGS M Nurs
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.11000

Abstract

Accurate rainfall prediction plays a vital role in reducing disaster risks and supporting public preparedness, particularly in Jakarta where dense population and frequent floods cause serious economic and social impacts. In this study, weather data from the Kemayoran Meteorological Station covering 2004–2023 were analyzed to build rainfall prediction models using machine learning. Three classification algorithms were compared: Logistic Regression, Decision Tree, and Random Forest, selected to represent linear, non-linear, and ensemble approaches. Feature selection was applied using Recursive Feature Elimination (RFE) to identify the most relevant predictors. The models were evaluated using 5-fold cross-validation with metrics including Accuracy, Precision, Recall, F1 Score, ROC AUC, and Cohen’s Kappa. The results indicate that Random Forest achieved the best overall performance with Accuracy of 0.7622, Precision around 0.70, Recall up to 0.63, F1 Score about 0.65, ROC AUC ranging from 0.8044 to 0.8171, and Cohen’s Kappa near 0.48. Logistic Regression also performed competitively with Accuracy of 0.7648, ROC AUC of 0.829, and Kappa of 0.49, while Decision Tree showed lower results with Accuracy of 0.6890 and ROC AUC of 0.6636. The RFE process successfully reduced 18 meteorological attributes to 5 influential features, mainly temperature and relative humidity, which were dominant in distinguishing rainfall events. These findings demonstrate that both Random Forest and Logistic Regression outperform Decision Tree, and Random Forest with RFE can be recommended as the most robust model for rainfall prediction in Jakarta.
PENERAPAN DIGITAL MARKETING SEBAGAI UPAYA UNTUK MENINGKATKAN PENDAPATAN UMKM: STUDI KASUS PEMASARAN KAIN TENUN DI DESA PRINGGASELA Haq, Habil; Nurlaili, Nurlaili; Sari, Adinda Kumala; Yuhinis, Baiq Ilil; Iqbal, Iqbal; Wicaksana, M. Arman Adhi; Febrianti, Ni Luh Riska; Moerad, Siti Huwayda; Prajasa, Syakira Mala; Ngudiyono, Ngudiyono
Jurnal Wicara Vol 2 No 5 (2024): Jurnal Wicara Desa
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/wicara.v2i5.5558

Abstract

Pringgasela is one of the villages in East Lombok regency that has strength in the development of MSMEs (micro, small and Medium Enterprises). One of the mainstay business sectors in Pringgasela Village is weaving, various activities have been carried out to identify and provide solutions to existing problems, activities begin with observations and interviews with local people, especially weaving cloth craftsmen and MSME actors. The identification results show that although Pringgasela village has great potential in MSMEs, especially in the production of woven fabrics, there are significant constraints in market access, caused by the lack of utilization of digital media. In response to these problems, the solution implemented is to organize socialization and training focused on improving the use of digital media as a marketing method. It is expected that the program can increase the income and welfare of the community, especially MSME actors. This Program shows that the use of digital technology can be an effective solution in overcoming economic challenges in the village, as well as strengthening existing local potential.
Sistem Pakar Diagnosa Gejala Awal Penyakit Stroke Dengan Menggunakan Metode Fuzzy Iqbal, Iqbal; Zahrah, Zahrah
Jurnal Tika Vol 7 No 3 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v7i3.1538

Abstract

The influence of the development of computer science has touched various fields, for example in the fields of medicine, military and others. Given the rapid development of increasingly advanced technology, especially in the field of computers, many people use computers as a tool. Also included in the medical field, computers have been included in it as a tool to do a job or identify a certain disease that facilitates human work. To determine the type of disease and how to overcome it and use the Waterfall method for system development. This expert system will also use the concept of Certainty Factor. This application is made using the PHP programming language and MySQL database as a place to store the data needed in making the application. Adobe Dreamweaver for Web design. This research produces a web-based stroke diagnosis expert system application so that it can help users to obtain the desired information. The preparation of this expert system is in the form of users and admins. Through this system, the user can identify the disease based on the symptoms that attack it. The system also has the ability to add, update, and delete features and symptoms along with the results of consultations conducted by the admin
Sistem Pendukung Keputusan Seleksi Penerimaan Karyawan Rumah Sakit Bmc Dengan Menggunakan Metode Promethee Iqbal, Iqbal; Juliansyah, Rommi
Jurnal Tika Vol 8 No 1 (2023): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v8i1.1936

Abstract

The improvement in the quality and quality of service is also very large driven by the availability of functional human resources (HR) in their respective work positions or on their respective job lists. Bireuen Regency. Considering that recently there have been very rapid growth of several other health service institutions/agencies in Bireuen District, so the quality of human resources must be given great attention. Selection of new employees at the Bireuen Medical Center (BMC) hospital is carried out manually by examining administrative files and giving an assessment weight to each prospective employee who applies for a job position provided by the BMC Hospital. The decision support system for hiring new employees at the Bireuen Medical Center (BMC) Hospital in Bireuen Regency is a system that can provide decisions based on ranking results that have been calculated using the promethee method, where in a system designed by users who have the authority to make decisions, they can input data. -data on assessment criteria and parameters, then determines the assessment parameters for each alternative applicant with the weights that have been applied so that the system then provides a ranking of all alternatives to assist the user in making decisions on alternatives that will be accepted as employees at the Bireuen Medical Center hospital (BMC)
Sistem Pakar Diagnosa Penyakit Autis Pada Anak-Anak Menggunakan Metode Fuzzy Logic Iqbal, Iqbal; Husna, Asmaul
Jurnal Tika Vol 8 No 2 (2023): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v8i2.2065

Abstract

Autism is a disease caused by disorders of the brain. There are many types of child development disorders that parents are not aware of. One of the child development disorders is autism. The variables supporting the diagnosis of the disease are used in the formation of fuzzy sets. The fuzzy set will produce a definite decision. The purpose of this thesis research is to build an expert system that is capable of making disease diagnosis decisions in accordance with the knowledge of experts or doctors. Meanwhile, expert system development tools use the PHP and MySQL programming languages. The designed application has been tested involving diagnostic medical records from doctors or specialists in autism in children, the results of the decisions produced by the application are the same as the doctor's diagnoses listed in the medical record. In general, this web-based Expert System application can be used as a tool or companion in diagnosing autism in humans without having to directly consult a doctor face to face
Segmentasi Pelanggan Menggunakan K-Means Clustering Berdasarkan Data Kepribadian dan Pola Konsumsi Iqbal, Iqbal; Hidayat, Nurul; Gevano, Daiva Paundra; Ilahi, Andhika Putra Restu
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5140

Abstract

In today's competitive business landscape, a deep understanding of customer behavior and preferences is crucial for strategic success. Customer segmentation emerges as a vital approach to identify distinct customer subgroups, enabling personalized and efficient marketing strategies. However, many companies still struggle to achieve this understanding due to suboptimal data utilization and inaccurate manual grouping methods. To address these challenges, this research proposes and implements a data mining approach using the K-Means Clustering algorithm for automated and measurable customer segmentation. Leveraging the "Customer Personality Analysis" dataset from Kaggle, this study aims to uncover hidden patterns in customer demographics (age, income, marital status, number of children) and purchasing behavior (number and frequency of transactions). A comprehensive data pre-processing pipeline, including handling missing values, feature engineering, irrelevant column removal, categorical transformation, and numerical scaling, ensures data quality and readiness. Using the Elbow Method, four optimal clusters were identified: "Balanced Spenders with Teenagers" (Cluster 0), "Budget-Conscious Families" (Cluster 1), "High-Value Engaged Buyers" (Cluster 2), and "Active Mature Buyers" (Cluster 3). Visualization using Principal Component Analysis (PCA) further confirms significant characteristic differences between these segments. Cluster 2, being the most valuable and responsive segment, requires premium marketing strategies, while Cluster 1, the largest segment, demands a value-oriented approach. The results of this segmentation provide deep strategic insights, enabling companies to allocate marketing resources more efficiently, craft more relevant messages, and ultimately enhance customer satisfaction and business profitability. These findings demonstrate the potential of unsupervised learning in enhancing data-driven customer profiling systems in marketing and business informatics.
Substitusi Limbah Low Density Polyethylene (LDPE) Pada Campuran AC-WC Dengan Perendaman Kotoran Sapi Terhadap Parameter Marshall Muammar, Rajib; Iqbal, Iqbal
Teras Jurnal : Jurnal Teknik Sipil Vol. 12 No. 1 (2022): Volume 12 Nomor 1, Maret 2022
Publisher : UNIVERSITAS MALIKUSSALEH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tj.v12i1.606

Abstract

Abstrak Tingginya temperatur permukaan jalan, curah hujan dan beban lalu lintas merupakan beberapa penyebab kerusakan lapisan aspal. Pada jalan di daerah Aceh banyak dijumpai kotoran sapi berserakan di jalan. Kotoran sapi mengandung sangat banyak unsur hara dan kadar air yang cukup tinggi dan dapat diduga merupakan faktor penyebab kerusakan perkerasan jalan. Salah satu cara dalam mengatasi kerusakan perkerasan jalan adalah dengan memodifikasi aspal menggunakan bahan tambah yaitu polimer. Polimer yang digunakan berupa limbah plastik Low Density Polyethylene (LDPE) sebagai pensubstitusi aspal. Tujuan utama dari penelitian ini untuk mengetahui karakteristik marshall campuran Laston (AC-WC) dengan tambahan irisan limbah plastik LDPE 2%, 4%, dan 6% pada aspal pen. 60/70 terhadap berat aspal, serta mengetahui pengaruh rendaman kotoran dan urine sapi dengan variasi waktu 30 menit, 24 jam, dan 48 jam terhadap stabilitas aspal modifikasi LDPE. Dari hasil penelitian didapatkan nilai stabilitas dengan rendaman kotoran sapi yaitu 1181,93 kg, stabilitas terbaik untuk LDPE pada persentase 6% dengan cara basah 2213,72. Nilai parameter untuk tanpa dan dengan substitusi LDPE yang dihasilkan berupa stabilitas, flow, MQ, density, VIM, VMA, dan VFA masih memenuhi persyaratan spesifikasi Bina Marga tahun 2014. Kata kunci: Laston Lapis Aus, Limbah Plastik LDPE, Rendaman Kotoran Sapi.  Abstract High road surface temperatures, rainfall, and traffic loads are some of the causes of asphalt layer damage. On roads in the Aceh, you can find cow dung scattered on the road. Cow dung contains a lot of nutrients and a fairly high water content and can be suspected as a factor causing road pavement damage. One way to overcome the damage to the pavement is to modify the asphalt using added materials, namely polymers. The polymer used is Low-Density Polyethylene (LDPE) plastic waste as a substitute for asphalt. The main purpose of this study was to determine the characteristics of the marshall mixture of Laston (AC-WC) with the addition of 2%, 4%, and 6% LDPE plastic waste slices on the asphalt pen. 60/70 on the weight of asphalt, as well as knowing the effect of soaking cow dung and urine with variations in time of 30 minutes, 24 hours, and 48 hours on the stability of LDPE modified asphalt. From the results of the study, it was found that the stability value with cow dung bath was 1181.93 kg, the best stability for LDPE was at a percentage of 6% by wet method 2213.72. Parameter values for without and with substitution of LDPE produced in the form of stability, flow, MQ, density, VIM, VMA, and VFA still meet the requirements of the 2014 Highways specification. Keywords: Laston Lapis Aus, LDPE Plastic Waste, Cow Manure Soak. 
Media Pembelajaran Berhitung Interaktif Menggunakan Augmented Reality Sriwinar, Sriwinar; Iqbal, Iqbal; Zulkarnaini, Iskandar; Jannah, Miftahul
Asimetris: Jurnal Pendidikan Matematika dan Sains Vol. 5 No. 2 (2024): Asimetris: Jurnal Pendidikan Matematika dan Sains
Publisher : Pendidikan Matematika Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/asimetris.v5i2.3045

Abstract

Tujuan penelitian ini adalah untuk dapat merancang media pembelajaran berhitung untuk pendidikan dasar dengan menggunakan Augmented Reality sehingga pembelajaran dapat di akses dengan media komputer, laptop atau smartphone. Metode penelitian ini menggunakan pengamatan atau observasi terhadap informasi yang akan dibutuhkan dalam pembuatan aplikasi. analisis kebutuhan sistem lalu dilakukan perancangan system dengan menggunakan perancangan sistem aplikasi  dengan Unified Modeling Language (UML).   Hasil dari sistem yang telah dibangun dan dapat membantu pengajar dan peserta didik dalam proses belajar dan mengajar pengenalan angka dan berhitung. Aplikasi yang telah di buat hanya dapat dijalankan dengan marker yang telah ditentukan. Teknik AR dengan metode marker based tracking membutuhkan gambar penanda yang terdeteksi oleh sistem, sehingga dapat menampilkan objek 3D.    
Co-Authors A.A. Ketut Agung Cahyawan W Abda Abda Abdul Waris Abdul Waris Adyatma, Abyudan Afkar, Mufidul Agung M Agus Dwiyanto, Agus Agus Jatmiko Agyl, Muhammad Ahmad Ahmad AHMAD MUNIR Al-Qaida, Huzaima Aldo, Aldo Alfarez Marchelian, Reyno Alifuddin, Muh. Amelianda, Amelianda Amri Amin Amrullah, Satrio Andi Liliandriani Andi Paramita Guntur Andi Sukma Indah arifin arif Andi Karim Aryani, Intan Dwi Ashabul Kahpi Aulia, Muhammad Rafi AULIA, SITI Aziz Aziz Baehaqi Bintang Pradana Yosua, Panky Casdimin Casdimin Dagong, Muhammad Ihsan A. Daniel Happy Putra Daniel Useng Darmawati Darwis Dedy Farhamsa Desi Fitasari Devi Devi, Devi Dewi Dewi Dewi Maya Sari Dian Dian Diantoro, Karno Dicky Wahyudi Didit Suprihanto, Didit Djuniadi , Djuniadi Djuniadi Djuniadi Dyah Prihartini Djenal Ediat, Ediat Elsa Elsa Ery Wati Eti Hadiati Ewin Iskandar Fahrizal Fahrizal Faisyah, Nur Fakhrizal Fakhrizal, Fakhrizal Fatimah, Jannatun Fauzah, Rauzatul Fauzi, Lilianty Febrianti, Ni Luh Riska Feddy Setio Pribadi Firdaus, Nasyiruddin Fitra, Safiatuddin Gevano, Daiva Paundra Gunawan, Akbar Hanif Hanif Haq, Habil Hasbullah Hasbullah Hazmal Herman, Hazmal Horas, Erwin Husnayati, Ika Husnul Mubarak Ilahi, Andhika Putra Restu Imam Suelfikhar Ipung Permadi Irawan, Bayu Budi Irawan, Santi iskandar zulkarnaini Juliansyah, Rommi Junaedi Muhidong Karnisih, Karnisih Kartika Pertama Sari Kasman Kasman Kausar, Kausar Khaeril Anwar Junaedi Khaeroni, Rany Khatifah Kitab Amelia Kurnia, Muhammad Lasmedi Afuan Lestary, Ratna Ayu Dewi Lindawati Lindawati Lydia Margaretha Maharani, Dewi Mahmud Achmad Mahmud Achmad, Mahmud Mahmudin, Lufsyi Makhrifah, Diana Marfiyana, Marfiyana Martha, Martha Maulana Putra Maulidin, Aula Mauloeddin Afna, Mauloeddin Mazni, Deni Irda Melati, Reffi Meliyana Meliyana, Meliyana Miftahul Jannah Mil, Gibson Mira, Prilly Virgina Mochammad Imron Awalludin Moerad, Siti Huwayda Mohamad Riva N. Muammar, Rajib Mucthar, Helmi Muh. Fajar, Muh. Muhammad Aswad Muhammad Faisal Muhammad Ihsan Andi Dagong Muhammad Isya Muhammad Rizal Muhammad Syahrul Ulum Muhammad Tahir Sapsal Muhtadin Muhtadin Mujiono Mujiono Mursalim Mursalim Mutawakkil Mutawakkil Muzana, Syarifah Nanang Sadikin Naslawati, Naslawati Nasruddin Nasruddin Nazar, Jazman Ngudiyono Ngudiyono Noor Saptanti Nugroho, Anggi Septia Nurdia, Nurdia Nurhanifa, Nurhanifa Nurjannah Nurjannah Nurlaili Nurlaili Nursusilowati, Indah Nurtania Sudarmi Nurul Hidayat Oki Dermawan Panduwinata, Fina Prajasa, Syakira Mala Pratiwi, Nita Adilla Putra, Akbar Adrian Putra, Dwingki Marta Putri Balqis, Putri Putri, Nursinta Rahmawati, Cut Rasyifah, Maisyah Nur Rayhannafi, Hilmi Ripaldo, Ripaldo Rita Sari Rokhman, Rokhman RR. Ella Evrita Hestiandari Sabaniah, Syahrial Safera, Liza Salmawati Salmawati, Salmawati Sanjaya, Muhammad Fahyu Sapsal, Muhammad Tahir Sari, Adinda Kumala Setianingrum, Diah Ayu Silviana, Mery Sitti Nur Faridah Sitti Nurrahmi Soderi, Ahmad Sofyan M. Saleh Sri Gustina Sri Nengsi Sriwinar, Sriwinar Suhardi Suhardi Suhartono Sukmawati, Darmawati Sulistyowati, Indah Dwi Sunarno Sundari, Salsabila Sunreni, Sunreni Supratomo, Supratomo Suryana, Nina Suryani Suryani SUTOMO Syafriadi Syafriadi Syahmidarni Al Islamiyah Syahputri, Nazwa Ayu Syahrianursaifi, Syahrianursaifi Syamsuri, KGS M Nurs Syuhada, Rahmat Tamsil Tamsil Taufiq Taufiq Thahirah, Ainaya Trisno, Eka Prasetya Dwi Udayana, I Made Darma Ukhtiyani, Indah Useng, Daniel Usrah Yulia Murti Vitri, Gusni Wanda Wanda Waty, Eri Wendi Boy Weny Dwi Ningtiyas Wicaksana, M. Arman Adhi Winar, Sri Winar, Sri Wiujianna, Atri Yetri Hasan Yocki Supriadi Yuhinis, Baiq Ilil Yulistia Yulistia Yumeina, Diyah Yunus, Ayyub Zahrah, Zahrah Zainal Abidin Zainal, Zainal Abidin Zainuddin Basri Zaiturrahmi, Zaiturrahmi Zardi, Muhammad Zayu, Wiwin Putri Zurkarnaini, Zurkarnaini