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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal F. Teknik : RESULTAN Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknik Komputer AMIK BSI Cakrawala : Jurnal Humaniora Bina Sarana Informatika Paradigma Jurnal Ilmiah FIFO Bina Insani ICT Journal Jurnal Pilar Nusa Mandiri Information System for Educators and Professionals : Journal of Information System Jurnal Mahasiswa Bina Insani Informatics for Educators and Professional : Journal of Informatics Information Management For Educators And Professionals (IMBI) Jurnal Teknik Informatika STMIK Antar Bangsa Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Komtika (Komputasi dan Informatika) IKRA-ITH EKONOMIKA Jurnal ICT : Information Communication & Technology JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Kajian Ilmiah Jurnal Sistem Informasi Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Journal of Students‘ Research in Computer Science (JSRCS) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Pengabdian Masyarakat Information Technology (JPM ITech) INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Journal of Computer Science Contributions (Jucosco) Jurnal Komtika (Komputasi dan Informatika)
Herlawati Herlawati
Fakultas Ilmu Komputer, Universitas Bhayangkara Jakarta Raya
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 Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences Other

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Learning Tools for Artificial Intelligence Implementation Herlawati Herlawati
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.9476

Abstract

According to the rules of the Indonesian National Qualifications Framework (KKNI), undergraduate students fall into levels 5 and 6. Here, graduates are required to have the ability to apply existing knowledge according to the needs of the job. However, laboratory facilities that provide such competencies are very difficult to provide, especially for private campuses that rely on funding from students. This research tries to anticipate the gap between students' abilities and industry demands by providing laboratory facilities that do not require large costs. One of the courses demanded for students to master is Artificial Intelligence (AI), which has now spread to various fields. However, the curriculum currently applied usually focuses only on methods commonly used in the field of AI, while implementation in corporate fields requires direct application in the form of applications. Research results prove that several online applications can be used as substitutes for laboratories, including Google Colab, Play with Docker, Streamlit, and Teachable Machine. Compared to providing servers, computers containing development applications, using computers or laptops connected to the internet, students can easily implement the AI knowledge they have learned. For group work, applications for Continuous Integration/Continuous Delivery can be utilized, for example with Github, Gitlab, and similar ones.
Analyzing Land Suitability for Housing in Bekasi Regency: Managing Farmland Conversion During Urban Growth Herlawati Herlawati; Rahmadya Trias Handayanto
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9968

Abstract

Bekasi Regency is a buffer area for Jakarta and is part of the Jakarta Metropolitan Region (JMR). Along with Karawang, this region is a major rice producer, but it is currently experiencing significant land conversion from agriculture to residential and industrial uses. Preventing this conversion is very challenging due to the high population growth in the area. To address this issue, this study aims to conduct a suitability analysis to identify areas that are unsuitable for agricultural land but still suitable for residential purposes. The factors considered in the suitability analysis include slope, distance to roads, distance to residential areas, distance to facilities and infrastructure, and distance to rivers and irrigation systems. The results of the study identify areas that are unsuitable for agriculture, allowing local governments to focus on these areas as potential sites for new residential developments. The location is situated in the southern part of Bekasi Regency, specifically in the Cikarang area and its surroundings.
Fine-Tuning Large Language Model (LLM) for Chatbot with Additional Data Sources Herlawati Herlawati; Rahmadya Trias Handayanto
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 13 No. 1 (2025): Maret 2025
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v13i1.10832

Abstract

Currently, Large Language Models (LLMs) are gaining popularity in implementation and research, with numerous open-source models available for use. One notable example is the AI-powered chat application, which leverages pre-trained LLMs to provide accurate and relevant information to users. By utilizing fine-tuning technology, this model can be tailored to specific student registration data, making it easier for prospective students to access the necessary information. Research findings indicate that this model achieves high accuracy in providing answers based on the inputted information. One of its advantages is its ability to generate training data through a Llama-based chat application, resulting in a more interactive and engaging user experience.
Comparative Study of PCA, t-SNE, and UMAP for CNN Feature Representation of Image Classification Herlawati Herlawati; Rahmadya Trias Handayanto
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 13 No. 2 (2025): September 2025
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v13i2.11634

Abstract

Currently, the use of Deep Learning is widespread across various domains, with Convolutional Neural Networks (CNNs) as one of its main pioneers due to the principle of convolution. Recent methods continue to emerge with steadily increasing accuracy, in some cases approaching perfection. However, their implementation is often limited by the lack of sufficient computational resources in many environments. Moreover, the growing demand for explainable AI compels researchers to explore approaches that reveal the inner workings of deep learning models rather than treating them as mere black boxes. In this study, a simple CNN model is employed as a testbed for examining the feature extraction process through convolution, which is subsequently transformed into a user-friendly two-dimensional representation. The dataset used in this study is the Cats and Dogs dataset from Kaggle, which contains 25,000 labeled images equally distributed between the two classes. The dimensionality reduction methods utilized include Principal Component Analysis (PCA), t-distributed Stochastic Neighbor Embedding (t-SNE), and Uniform Manifold Approximation and Projection (UMAP). The results demonstrate that UMAP achieves superior performance compared to PCA and t-SNE, with the highest silhouette score and a lower Davies–Bouldin index, indicating more compact and well-separated feature clusters.
Performance Evaluation of YOLOv8 and YOLOv11 for River Waste Detection Herlawati Herlawati; Rahmadya Trias Handayanto
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 14 No. 1 (2026): March 2026
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v14i1.12295

Abstract

River pollution caused by plastic waste requires an effective and automated monitoring solution. This study proposes an automated waste detection system in river environments by implementing and comparing two deep learning-based object detection models, YOLOv8 and YOLO11. The dataset used is the River Trash dataset (Version 3) from Roboflow, consisting of 415 original images augmented to 1,281 training and 367 validation images across five waste categories: non-plastic, plastic bag, plastic bottle, plastic others, and plastic wrapper sachet. Both models were trained under identical conditions — 10 epochs, image size 640×640, batch size 16, and AdamW optimizer — to ensure a fair comparison. Performance was evaluated using Precision, Recall, mAP@50, and mAP@50-95. Results show that YOLOv8 achieved higher detection accuracy with Precision 0.880, Recall 0.889, mAP@50 0.946, and mAP@50-95 0.942, outperforming YOLO11 which recorded 0.879, 0.800, 0.910, and 0.909 respectively. However, YOLO11 demonstrated greater efficiency with fewer parameters (2.59M vs 3.01M) and faster inference speed (249ms vs 265ms), making it more suitable for edge device deployment. These findings confirm that both models are capable of detecting plastic waste in complex river environments, with YOLOv8 recommended for accuracy-critical applications and YOLO11 for resource-constrained real-time monitoring systems.
Co-Authors A.A. Ketut Agung Cahyawan W Abd Rohman Abdul Kholis Acah Acah Achmad Wira Wiguna Adam Adam Adam Fajariansyah Adi Muhajirin Adi Supriyatna admin admin Aera Santiana Afina Putri Dzulqiyana Agus Hidayat Agus Hidayat Agustin, Syafira Cessa Ajie Prasetya Ajif Yunizar Pratama Yusuf AlHakim, Abdu Malik Andy Achmad Hendhar Setiawan Andy Achmad Hendharsetiawan Andy Achmad Hendharsetiawan Andy Achmad Hendharsetiawan Anggaini, Meri Anis Athifah Anisa Feby Yana Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anton Anton Ardiansyah, Muhamad Arrasyid, Rizky Maulana Asmoro Bangun Priambodo Atika , Prima Dina Ayu Afidarisa Rahma Bangga Tua Siregar Bayu Andriansyah Ben Rahman Beno Aditya Sanusi Beno Aditya Sanusi Benrahman Bertnardo Mario Uskono Bhagaskara Farhan Wiguna Binu Nuryadi Budi Santoso Bunga Pratiwi Christhover , Robbie Dadan Irwan Dani Dani Daniel Jhon Rosinton Hutauruk Desi Puspasari Diah Putri Ramadhani Diah Putri Ramadhani Diah Putri Ramadhani Dicki Rizki Amarullah Didik Setiyadi Dinda Mutiara Hanum Dwi Budi Santoso Dwi Budi Srisulistiowati Eka Puspita Sari Eka Suryani Pratiwi Ekawati, Inna Endang Retnoningsih Erene Gernaria Sihombing, Erene Gernaria Ervan Dwi Kurniawan Fachrullyanta Adi Saputra Fachrullyanta Adi Saputra Fadilah, Naufal Arif Fahrika, Andi Ika Faisal Adi Saputra Fandiansyah, Rafly Fata Nidaul Khasanah Feni Meilan Tasiba Firyal Rosiana Dita Frieyadie Galih Apriansha Pradana Gedhe Hilman Wakhid Gilby Lionska Wenas Gymnastiar, Muhammad Handry Hartino Haris, Syamsul Alam Harviansyah, Muhammad Haryono Haryono Haryono Hendharsetiawan , Andy Achmad Hendharsetiawan, Andy Achmad Heri Prabowo Hero Suhartono Hero Suhartono, Hero Hutauruk , Daniel Jhon Rosinton I Komang Arya Trisumeikra Icah Fitri Yani Ikhsan Dwikurniawan Ikhsan Dwikurniawan Intan Cahya Syahfitri Intan Cahya Syahfitri Ira Wardani Irham Cahya Nugraha Irwan Raharja Ivan Nur Firdaus Izdihar, Zalfa Jaja Jaja Jaja Jaja Joko Dwi Hartanto Juandika Shevani Julaiwa, Siti Hawa Karnita Afnisari, Karnita Krisendo Setiawan Kukuh Dwi Prasetyo Kurniawan, Ervan Dwi Kustanto , Prio Ladyana Suciani Syafitri Laila Salsabilla Hanifa Lubis, Riski Aditya Magdalena, Caroline Julyana Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah, Maimunah Malikus Sumadyo Mardi Yudhi Putra Mayora Lolly Ishimora Merza Dheo Prakoso Muhamad Ardiansyah Muhammad Harviansyah Muhammad Muharrom Muhammad Riky Sudrajat Muhammad Zidan Al Faiq Nabila , Marsyanda Salsa Ningrum, Mirza Cahya Nita Merlina Nita Merlina, Nita Nitin Kumar Tripathi Noer Hikmah Novaldi Nur Pratama Novianto, Krisna Nunung Hidayatun Nur Amanda Pratiwi Nurchayati Nurchayati Nurcholis Nurcholis Oriza Sativa Dinauni Silaen Pahrizal, Pahrizal Popy Purnamasari Wahid Suyitno Pradana , Galih Apriansha Priatna , Wowon Prihatin, Sandy Satyo Prima Dina Atika Purnama, Putra Aldi Purnomo, Rakhmat Purnomo, Rakhmat Purwanti, Santi Rachmatin, Nida Rafika Sari RAFIKA SARI Rahmadya Trias Handayanto Rahmadya Trias Handayanto Rahmadya Trias Handayanto Rahmadya Trias Handayanto Raihan Nurfaidzi Ramadhan, Sahara Ramadhani, Diah Putri Rasim Rasim Rasim, Rasim Regita Ari Rahmadanti Rejeki , Sri Retno Nugroho Whidhiasih Retno Sari Riska Utami Dewi Riski Aditya Lubis Rismayana, Raka Rizki Aulianita, Rizki Robbie Christhover Robertus Suraji Rosliana, Siti Rusdiansyah Rusdiansyah Sahara Ramadhan Salwa Nabiila Pramuhesti Samsiana , Seta Sandy Satyo Prihatin Santoso , Muhammad Reinaldy Sanusi, Beno Aditya Saputra , Faisal Adi Saputra, Fachrullyanta Adi Sari , Rafika SATRIYAS ILYAS Septi Eka Hardyana Septia, Dwi Yoga Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Setyowati Srie Gunarti, Anita Shadriyah , Shadriyah Silaen, Oriza Sativa Dinauni Siti Hawa Julaiwa Siti Masripah Siti Rosliana SITI SETIAWATI Sohee Minsun Kim Solikin Solikin Solikin Solikin Sri Rejeki Sri Sureni Sugeng Murdowo Sugiyatno , Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sunandar Sunandar Syadhaffa Gedriyansah Syafina, Prilia Hashifah Syahbaniar Rofiah Syahfitri, Intan Cahya Syamsul Alam Haris Tambun, Jerisman Jhon Wesli Tata Arya Cahyaaty Tia Monisya Afriyanti Tumbur Togu Tyastuti Sri Lestari Tyastuti Sri Lestari Umi Salamah Umi Salamah Wicaksono, Naufal Eka Wida Prima Mustika Wijaya, Indra Yana, Anisa Feby Yessi Rahmawati Yugo Bhekti Utomo Yusuf, Ajif Yunizar Pratama