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All Journal Jurnal Media Infotama Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Jurnal Informatika dan Teknik Elektro Terapan Scientific Journal of Informatics CESS (Journal of Computer Engineering, System and Science) Riau Journal of Computer Science International Journal of Artificial Intelligence Research JIKO (Jurnal Informatika dan Komputer) INOVTEK Polbeng - Seri Informatika Pendas : Jurnah Ilmiah Pendidikan Dasar MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURNAL PENDIDIKAN TAMBUSAI JOURNAL OF SCIENCE AND SOCIAL RESEARCH MIND (Multimedia Artificial Intelligent Networking Database) Journal JSAI (Journal Scientific and Applied Informatics) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Tekinkom (Teknik Informasi dan Komputer) Indonesian Journal of Electrical Engineering and Computer Science IJIIS: International Journal of Informatics and Information Systems Journal of Computer System and Informatics (JoSYC) JINAV: Journal of Information and Visualization Journal of Applied Data Sciences JUDIMAS (Jurnal Inovasi Pengabdian Kepada Masyarakat) Journal of Applied Computer Science and Technology (JACOST) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Indonesian Journal of Economy, Business, Entrepreneuship and Finance (IJEBEF) International Journal for Applied Information Management Journal Corner of Education, Linguistics, and Literature JUSTIN (Jurnal Sistem dan Teknologi Informasi) ProBisnis : Jurnal Manajemen Edu Sociata : Jurnal Pendidikan Sosiologi JOURNAL OF ICT APLICATIONS AND SYSTEM Innovative: Journal Of Social Science Research Neraca Manajemen, Akuntansi, dan Ekonomi Cendikia Pendidikan Jurnal Media Akademik (JMA) Bhinneka Multidisiplin Journal Jurnal Manajemen Kewirausahaan dan Teknologi Journal of Digital Market and Digital Currency Journal of Current Research in Blockchain

B. Herawan Hayadi

Universitas Bina Bangsa

Author-ID : 278711

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities 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 Mathematics Public Health Social Sciences Other

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INDENTIFIKASI POLA AKSARA ARAB MELAYU DENGAN JARINGAN SYARAF TIRUAN CONVOLUTIONAL NEURAL NETWORK (CNN) Yanto, Budi; -, Basorudin; -, Jufri; Hayadi, B.Herawan
JSAI (Journal Scientific and Applied Informatics) Vol 3 No 3 (2020): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v3i3.1151

Riau province has Malay Arabic script as a traditional cultural heritage of ancient characters that should be preserved; this script is adapted from Arabic writing. This script from Malay Arabic has a unique form that is different from the original Arabic writing adaptation, which is read in a combination of letters forming latin meanings as an introduction to the everyday language of Riau Malay people in the earlier kingdom. Malay Arabic writing became an introduction to the local content of traditional languages in schools. To foster a love for preserving culture, in accordance with current technology that is able to recognize scripting patterns when written in paper, a knowledge base was created by using Matlab software by applying a convolutional Neural Network (CNN) artificial neural network algorithm capable of recognizing script patterns well. The result of image input in the form of handwriting written on paper then in the scanner in the form of JPEG image format. Testing was carried out on four Arabic Malay characters namely alif, ha, la, kho and nun. The result of training for the letter alif (a) epoch is obtained 98 out of 100 iterations with a training length of 3 seconds, furthermore, in validation performance with a result of 0.25013 on epoch 92 of 98 epoch for gradient letters with a value of 0.0071991 on the next epoch 98 in the extras produces an accuracy value of 0.6548 which states the correct result accordingness because it is close to the alif script. In the process of train input the letter kho obtained epoch 80 out of 100 iterations with a training process for 3 seconds, validation performance 0.25153 on epoch 74 out of 80 epoch for check validation with a value of 0.0011682 on the next epoch 80 in the extras obtained an extra value of 0.9326 stated the value is incorrect. Because the result of the extras results in an image that does not come close to the kho letter. Therefore, a study of how the system can recognize Malay Arabic writing patterns with the Convolutional Neural Network (CNN) method because it is very good at identifying image pattern features with an accuracy value of 4.12% of the 10 sample image patterns that have been inputted. With the introduction of imagery patterns from the extraction of features scanned Malay Arabic characters can help the findings of ancient Malay Arabic script as morphological learning of the validity of abstraction of Malay Arabic script is good

Kajian Literatur Multi Layer Perceptron Seberapa Baik Performa Algoritma Ini Pardede, Doughlas; Hayadi, B.Herawan; Iskandar
Journal of ICT Applications System Vol 1 No 1 (2022): Journal of ICT Aplications and System
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Multi Layer Perceptron (MLP), one of the deep learning algorithms, has been widely used in classification problem research because it has advantages over other conventional classification methods. This study takes 15 articles that have been published in research journals regarding the application of the multi-layer perceptron algorithm to prediction and classification problems. From the results of the analysis carried out, the results show that the lowest performance value of this algorithm is 62.89%, the highest performance value of this algorithm is 100% and the average performance value of this algorithm is 91.98%. From these values, it can be concluded that the multi layer perceptron algorithm is very good and feasible to be used in solving prediction and classification problems

Penerapan Metode Forward Chaining Pada Sakit Gusi Handayani, Meli; Hayadi, B.Herawan; Lubis, Adyanata
Journal of ICT Applications System Vol 1 No 1 (2022): Journal of ICT Aplications and System
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Sampai saat ini, perkembangan teknologi informasi telah merambah ke berbagai sektor termasuk di sektor kesehatan yang mampu membantu dalam mendiagnosa penyakit melalui gejala yang diberikan serta dapat memberikan solusi penanganan penyakit. Salah satu penyakit yang dapat dilakukan diagnosa dengan adanya perkembangan teknologi komputer adalah penyakit gusi. Penyakit gusi adalah penyakit infeksi yang menyerang pada jaringan di sekitar gigi. Kondisi ini merupakan penyebab utama dari gigi yang lepas pada orang dewasa. Perawatan gigi merupakan salah satu usaha penjagaan untuk mencegah kerusakan gigi dan penyakit gusi. Penyakit gusi dapat menyerang siapa saja baik menyerang bayi, balita, remaja bahkan menyerang orang dewasa. Menurut jurnal penelitian dari Mubasyiroh, dan Andayasari (2017:141) berpendapat bahwa Penyakit gigi dapat berupa kerusakan gigi (karies) dan penyakit gusi. Penyakit gigi dan mulut (termasuk karies dan penyakit periodontal) merupakan masalah yang cukup tinggi yang dikeluhkan oleh masyarakat. Adapun cabang ilmu komputer yang dapat melakukan diagnosa untuk mengetahui penyakit gusi adalah sistem pakar.Berdasarkan hasil pembahasan diatas, maka didapatkan jawaban B1, B2, B3 sampai dengan B9 gejala penyakit berdasarkan pilihan pertanyaan yang dipilih, itu menandakan, bahwa sistem pakar dengan metode forward chaining dapat mengatasi penyakit gusi dengan tingkat kepercayaan 89%

Clustering Netflix Shows Based on Features Using K-means and Hierarchical Algorithms to Identify Content Patterns Hayadi, B Herawan; Priyanto, Eko
International Journal for Applied Information Management Vol. 5 No. 2 (2025): Regular Issue: July 2025
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v5i2.102

This study explores clustering patterns within Netflix's movie catalog by applying K-means and hierarchical clustering algorithms. The primary objective is to identify distinct content groups based on features such as movie duration, release year, and content ratings. The dataset, which includes 5,185 Movies, was preprocessed by handling missing values, one-hot encoding categorical variables, and standardizing numerical features. Four distinct clusters were identified, with each cluster exhibiting unique characteristics. Cluster 0 primarily consists of longer, family-friendly Movies rated TV-14, while Cluster 1 contains shorter, mature Movies with a TV-MA rating. Cluster 2 represents a diverse range of TV-MA Movies with moderate durations, and Cluster 3 focuses on adult-oriented, longer Movies with an 'R' rating. These findings offer valuable insights into Netflix's content strategy, highlighting the platform's ability to cater to different audience segments based on content type and viewer preferences. The results suggest that Netflix can leverage clustering patterns to improve its recommendation system and content acquisition strategy. However, the study is limited by the absence of user-specific data and the reliance on basic metadata features. Future research could explore the integration of additional features like user ratings and apply deep learning techniques for more sophisticated clustering.

MotoGP Mandalika 2022 Sentiment Classification Using Machine Learning Pardede, Doughlas; Hayadi, B. Herawan
Jurnal Transformatika Vol. 20 No. 2 (2023): January 2023
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i2.5364

MotoGP is a world-class motorcycle racing event, which will be held in the 19th series in 2022 at the Pertamina Mandalika Circuit. This study tries to analyze public sentiment collected from the results of tweeter social media tweets, in the form of sentiment and emotion values. With the features of sentiment and emotion values extracted from the contents of this tweet, k-means clustering is used to generate sentiment clusters as targets for classification using the MLP algorithm. From the results of the evaluation using 10-fold cross validation, the accuracy value is 97%, the precision value is 94.64% and the recall value is 100%. The classification results also show that the public response to the 2022 MotoGP event at the Mandalika circuit is quite balanced, where 53% have a positive response, while the rest have a negative response

Designing a Food Ordering Application System at Esthetic Cafe Using the Laravel Framework Arifin, Ilham; Hayadi, B. Herawan; Pratama, Gelard Untirtha
JINAV: Journal of Information and Visualization Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav4183

The rapid advancement of information technology has significantly influenced the culinary business sector, particularly in enhancing service efficiency and customer experience. Esthetic Cafe, as a small-to-medium-sized enterprise, faces challenges in streamlining its food ordering process, which has traditionally been conducted manually. This research aims to design and develop a web-based food ordering application system using the Laravel framework to improve operational workflow, minimize order errors, and enhance customer satisfaction. The study adopts the Research and Development (R&D) methodology and implements the Waterfall model to guide the software development life cycle. The stages include requirements analysis, system design, implementation using Laravel, system testing with black box methods, and real-world deployment. The Laravel framework was chosen due to its MVC architecture, scalability, security features, and strong community support. The system provides core functionalities such as user registration and login, menu browsing, cart management, order placement, table selection, simulated payment processing, and transaction history tracking. For administrators, the system includes modules for product and category management, order confirmation, and transaction monitoring. The user interface was designed to be intuitive and responsive, focusing on user convenience and accessibility. Testing results from twelve black box scenarios demonstrated that all system features operated as expected, with successful interactions and accurate system responses. No major errors were identified, confirming the reliability and functionality of the application. In conclusion, the implementation of this food ordering system significantly improves service quality and operational efficiency at Esthetic Cafe. The system also provides a digital solution that supports the business's transition into the digital era. This study shows that web-based applications developed with Laravel can effectively meet the technological needs of small culinary businesses and support sustainable digital transformation.

Enhancing Housing Price Prediction Accuracy Using Decision Tree Regression with Multivariate Real Estate Attributes Utomo, Ahmar Dwi; Hayadi, B Herawan; Priyanto, Eko
International Journal of Informatics and Information Systems Vol 7, No 4: December 2024
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v7i4.226

The real estate sector functions as a critical barometer of a nation’s economic performance; however, its inherent volatility and intricate pricing mechanisms often hinder precise valuation—particularly in developing urban markets. In the context of Indonesia, where the property industry contributes substantially to national GDP, deriving fair and data-driven housing price estimates remains a persistent challenge. Traditional appraisal methods, which rely predominantly on subjective human judgment, frequently fall short in reflecting market dynamics accurately. This research seeks to construct an interpretable machine learning framework for predicting residential housing prices by employing a Decision Tree Regression (DTR) model. The DTR method was chosen for its transparent and hierarchical structure, allowing for a clear understanding of how individual property characteristics affect price outcomes. The study utilizes a public dataset from Kaggle containing key housing attributes, including land area, building size, number of rooms, and location variables. The methodological steps encompass data preprocessing (cleaning and encoding using One-Hot Encoding), data partitioning into training and testing sets with an 80:20 ratio, and model performance evaluation using standard regression metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and the Coefficient of Determination (R²). The model attained an R² value of 0.385, suggesting that the selected features explain approximately 38.5% of the variance in housing prices. While this indicates moderate predictive capability, the DTR model offers valuable interpretive insights—particularly in identifying land area as the most influential predictor of price. The findings highlight that interpretable machine learning approaches can serve as effective analytical tools for property valuation in emerging markets, balancing predictive accuracy with transparency. Moreover, this study lays the groundwork for the future development of ensemble and hybrid predictive models, as well as the integration of AI-based analytics into decision-support systems for property valuation, investment forecasting, and urban development planning in Indonesia’s evolving real estate landscape.

Pengaruh Kepemimpinan Kepala Sekolah, Manajemen Kepala Sekolah Dan Terhadap Kinerja Guru SD Negeri Di Kota Cilegon Banten Rohim, Rouf; Hayadi, B.Herawan; Yusuf, Furtasan Ali; Suheti, Suheti; Mahdi, Ahmad
EDU SOCIATA ( JURNAL PENDIDIKAN SOSIOLOGI ) Vol 6 No 2 (2023): Edu Sociata : Jurnal Pendidikan Sosiologi
Publisher : EDU SOCIATA ( JURNAL PENDIDIKAN SOSIOLOGI )

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33627/es.v6i2.1710

Penelitian ini bertujuan untuk mengetahui pengaruh kepemimpinan kepala sekolah, manajemen kepala sekolah, terhadap kinerja guru SD Negeri yang ada di Kota Cilegon. Pendekatan penelitian yang digunakan adalah kuantitatif non-eksperimen. Populasi penelitian ini adalah seluruh guru PNS dan Kepala Sekolah SD Negeri yang ada di Kota Cilegon dengan jumlah guru 170 orang dan 7 orang Kepala Sekolah. Ukuran sampel ditentukan menggunakan rumus Taro Yamane atau Slovin sebanyak 63 guru dan 7 kepala sekolah. Teknik pengumpulan data menggunakan angket, dan analisis hasil penelitian menggunakan statistik deskriptif, regresi sederhana, dan regresi berganda dengan menggunakan SPSS Windows Version 17. Hasil penelitian menunjukkan bahwa kepemimpinan kepala sekolah, manajemen kepala sekolah, dan budaya sekolah berpengaruh positif dan signifikan terhadap kinerja guru SD Negeri yang ada di Kota Cilegon. Dengan mengoptimalkan kepemimpinan kepala sekolah, manajemen kepala sekolah, dan budaya sekolah dengan baik, kinerja guru SD Negeri yang ada di Kota Cilegon diharapkan akan meningkat.

Kebijakan Dan Strategi Pendidikan Dalam Meningkatkan Mutu Pendidikan Agustina, Agustina; Hayadi, B. Herawan; Yusuf, Furtasan Ali; Uniba, Muadifah; Rohim, Rouf
EDU SOCIATA ( JURNAL PENDIDIKAN SOSIOLOGI ) Vol 6 No 2 (2023): Edu Sociata : Jurnal Pendidikan Sosiologi
Publisher : EDU SOCIATA ( JURNAL PENDIDIKAN SOSIOLOGI )

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33627/es.v6i2.1730

Jurnal ini membahas Kebijakan serta taktik pada meningkatkan Mutu pendidikan pada sebuah lembaga pendidikan. Penelitian ini menganalisis implementasi kebijakan pendidikan yang efektif serta merumuskan strategi yang sempurna guna mencapai tujuan peningkatan mutu pendidikan. Melalui tinjauan literatur serta studi kasus, penelitian ini menjabarkan faktor-faktor yang mempengaruhi keberhasilan implementasi kebijakan serta merinci strategi yang bisa diterapkan oleh pemerintah, forum pendidikan, dan para pendidik yang memeiliki kompetensi pada bidang pensisikan. Jurnal ini juga mengeksplorasi akibat inovasi pada kebijakan pendidikan dan menggali taktik-strategi terbaru yang bisa menghadirkan solusi buat tantangan pendidikan yg lebih kreatif. hasil penelitian ini diharapkan bisa memberikan kontribusi signifikan bagi perancangan kebijakan dan pengembangan strategi yg berkelanjutan dalam meningkatkan kualitas pendidikan pada berbagai tingkatan.

TINJAUAN KEBIJAKAN DAN STRATEGI MANAJEMEN PENDIDIKAN: IMPLEMENTASI DALAM KONTEKS MASA DEPAN Muadifah, Muadifah; Hayadi, B. Herawan; Yusuf, Furtasan Ali; Agustina, Agustina; Suheti, Suheti; Rohim, Rouf
EDU SOCIATA ( JURNAL PENDIDIKAN SOSIOLOGI ) Vol 6 No 1 (2023): Edu Sociata : Jurnal Pendidikan Sosiologi
Publisher : EDU SOCIATA ( JURNAL PENDIDIKAN SOSIOLOGI )

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33627/es.v6i1.1784

The development of information and communications technology (ICT) has become a major driver in the transformation of education systems throughout the world. This abstract explores the important role of ICT in the context of education policy, exploring how its use can be increased to support the development of education that is adaptive and responsive to global change. The main focus includes aspects of learning quality, educational accessibility, and curriculum relevance. In this analysis, it was found that ICT is not only a supporting tool, but a fundamental foundation for creating a dynamic learning environment. Strong integration between progressive policies and holistic ICT use strategies is needed to achieve inclusive education goals.

Co-Authors -, Basorudin Abdi Rahim Damanik Adyanata Lubis agung setiawan Agus Perdana Windarto Agustina Akhmad Zulkifli Alvin, Muhammad Ambarsari, Yuke Aramiko Kayanie Nenden Atryana Arifin, Rita Wahyu Arman Basri Asep Supriyanto Asyahri Hadi Nasyuha Bachtiar, Marsellinus Bayu Kusuma Budi Yanto Budi Yanto, Budi Budiarto, Mukti Cindy Paramitha Dahliyusmanto, Dahliyusmanto Damanik, Abdi Rahim David Setaiwan Dede Nurhasanah Devi Delawati Didik Setiyadi Dwi ASTUTI Dwiastuti, Dwiastuti Edi Roseno Eko Priyanto El Emary, Ibrahiem M. M. Engkos Kosasih Enny Widawati Erna Armita, NST Erni Rouza, Erni fatimah Fatimah Franciska, Yuni Furtasan Ali Yusuf Halabi, Ahmad Handayani, Meli Hartono Hartono Hayatul Masquroh Henderi . Hendrawati, Tuti Heni Pujiastuti Herlina Latipa Sari Hermawansyah, Hermawansyah Husni Teja Sukmana I Gede Iwan Sudipa Ichsan Firmansyah Ihlas Ahmad Subarkah Ilham Arifin Irawati Irawati ISKANDAR JAKA KUSUMA Jaka Kusuma Jaka Tirta Samudra Jaka Tirta Samudra Jufri -, Jufri Jufri Jufri Juhriah Juhriah, Juhriah Junaesih, R. Karina Andriani Kasman Rukun Kelvin Leonardi Kohsasih Khodijah Hulliyah Kim, Jin-Mook Luth Fimawahib M Haidar Husein Mahdi, Ahmad Masquroh, Hayatul Muadifah, Muadifah muflihah muflihah Muhammad Sadikin Mulyadi, Dadi Mursyid Irfan Musadad Musadad Novendra Adisaputra Sinaga Ovi Sakti Cahyaningtyas P. Eko Prasetyo P.P.P.A.N.W Fikrul Ilmi R.H. Zer Padeli Padeli Pardede, Doughlas Prasiwiningrum, Elyandri Pratama, Gelard Untirtha Pratama, Rinanda Rizki Puji Sari Ramadhan Putri, Nova Amelia R.H. Zer, P.P.P.A.N.W Fikrul Ilmi Rahmulyana, Anjar Raman Raman Raman, Raman Riandini, Meisarah RIKA ROSNELLY Rika Rosnelly Rinanda Rizki Pratama Rindi Genesa Hatika Rizky Ema Wulansari Rohim, Rouf Rubianto Rudi Gunawan Saepudin Saepudin Safril Safril Sartika Mandasari Sepriyanti, Sepriyanti Shafiera, Eghar Siregar, Pariang Sonang Sofiana, Sofa sono, Aji Sudar Suheti, Suheti Suirat, Suirat Sumiyati SUMIYATI SUMIYATI Suwarni Suwarni Swastika, Rulin Tambunan, Fazli Nugraha Teddy Surya Gunawan Toyibah, Toyibah Tutut Herawan Uniba, Muadifah Utomo, Ahmar Dwi Wahdi, Adi Wanayumini Wijaya, Rehan Surya Wiwik Handayani Wiwik Novianawati Yuke Ambarsari Yuni Franciska Tarigan Yuningsih, Yuyun Yustiva, Fitriyatul Zakarias Situmorang

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