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All Journal Jurnal Ilmu Komputer dan Informasi MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Scientific Journal of Informatics Jurnas Nasional Teknologi dan Sistem Informasi SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Sinergitas PkM & CSR Jurnal Teknologi Sistem Informasi dan Aplikasi Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JISKa (Jurnal Informatika Sunan Kalijaga) JISA (Jurnal Informatika dan Sains) Madaniya IGKOJEI: Jurnal Pengabdian Masyarakat Insyst : Journal of Intelligent System and Computation Kresna: Jurnal Riset dan Pengabdian Masyarakat Journal Of Human And Education (JAHE) Jurnal Inovasi Masyarakat Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Jurnal Nusantara Berbakti Community: Jurnal Pengabdian Pada Masyarakat Multidisiplin Pengabdian Kepada Masyarakat (M-PKM) Jurnal Pengabdian Kepada Masyarakat Indonesia
Teja Endra Eng Tju
Universitas Budi Luhur
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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OPTIMALISASI RUANG PUBLIK TERPADU RAMAH ANAK (RPTRA) MERUYA UTARA MELALUI PKM EDUKASI DAN LINGKUNGAN Wahyudi, Widi; Wibowo, Imam Tri; Marsin, Marsin; Hakim, Astrid Dita Meirina; Syah, Muhammad Jusman; Naryoto, Pambuko; Ipmawan, Hasan; Kuncoro, Aris Wahyu; Tju, Teja Endra Eng
Multidisiplin Pengabdian Kepada Masyarakat Vol. 4 No. 02 (2025): Multidisiplin Pengabdian Kepada Masyarakat, July-Oktober 2025
Publisher : Sean Institute

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

Abstract

Program Pengabdian kepada Masyarakat (PKM) ini dilaksanakan dengan tujuan untuk mengoptimalkan fungsi Ruang Publik Terpadu Ramah Anak (RPTRA) Meruya Utara sebagai sarana edukasi lingkungan berbasis komunitas. RPTRA yang selama ini hanya berfungsi sebagai ruang bermain, diarahkan agar juga menjadi pusat pembelajaran dan pemberdayaan masyarakat dalam bidang kebersihan, pengelolaan sampah, dan pelestarian ruang hijau. Kegiatan yang dilakukan mencakup penyuluhan interaktif, workshop daur ulang, penanaman tanaman hias, pembuatan pojok edukasi hijau, dan kampanye sosial bertema lingkungan. Hasil kegiatan menunjukkan adanya peningkatan pengetahuan peserta, keterlibatan aktif masyarakat dalam merawat RPTRA, serta munculnya inisiatif warga untuk menjaga keberlanjutan program. Selain memberikan dampak ekologis, program ini juga memperkuat ikatan sosial antarwarga dan memfungsikan RPTRA sebagai ruang publik yang lebih edukatif, partisipatif, dan berkelanjutan. PKM ini diharapkan menjadi model pemberdayaan masyarakat berbasis ruang publik yang dapat direplikasi di wilayah urban lainnya.
Naïve Bayes dan Confusion Matrix untuk Efisiensi Analisa Intrusion Detection System Alert Suryadewiansyah, Muhammad Kamil; Tju, Teja Endra Eng
Jurnal Nasional Teknologi dan Sistem Informasi Vol 8 No 2 (2022): Agustus 2022
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v8i2.2022.81-88

Abstract

Banyaknya malware menyebabkan IDS (Intrusion Detection System) dituntut menyesuaikan diri semakin kompleks sehingga mahal dan membebani perusahaan yang menggunakannya. Sistem yang berbasis teknologi Host-based IDS dan Signatured-based IDS sudah banyak digunakan namun hanya mampu mendeteksi serangan yang sudah diketahui sebelumnya, untuk memperbaiki kinerjanya perlu dilakukan analisa pada data log berdasarkan alert yang diberikan. Teknik klasifikasi Naïve Bayes digunakan untuk membantu meningkatkan efisisensi dan efektifitas analisa tersebut. Penelitian ini dilakukan dengan mengambil empat langkah bagian dari metodologi SKKNI (Standar Kompetensi Kerja Nasional Indonesia) No.299 tahun 2020, Artificial Intelligence, sub bidang Data Science, yaitu data understanding, data preparation, modeling, dan model evaluation. Dataset dari penyedia layanan IDS sebanyak 575 data yang dibagi menjadi 515 data latih dan 60 data uji. Hasil evaluasi data uji dengan confusion matrix diperoleh pengukuran metrik accuracy 0,87, recall 0,89, precision 0,83, dan F-Measure 0,86. Adanya FP (False Positive) dan FN (False Negatif), keduanya sangat penting bagi penguna IDS untuk meningkatkan kualitas layanan kepada pelanggan dan mengurangi resiko akibat adanya intrusi. FP dan FN menjadi fokus dalam melakukan analisa log alert dari IDS sehingga tidak perlu menganalisa keseluruhan data, berdampak memberikan hasil 85% lebih efektif dan berkontribusi pada efisiensi tenaga dan waktu bagi tim keamanan suatu peruasahaan pengguna IDS. Selain itu didapat bahwa sekitar 50% data IDS adalah intrusi atau pengganggu lainnya.
Pembangunan Fitur dalam Identifikasi Cerdas Hoaks dengan Naïve Bayes dan Klasifikasi Decision Tree Shalih, Muhammad Umar; Tju, Teja Endra Eng
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 13, No 1: April 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v13i1.1731

Abstract

Identifying hoaxes poses significant complexity and challenges due to issues such as the diverse nature of hoaxes, rapid narrative changes, swift dissemination, sophisticated technological usage, verification difficulties, and scalability challenges. Recognizing the societal impact of hoaxes, the development of features for intelligent hoax identification research becomes imperative. The methodology adopted from CRISP-DM and SKKNI No. 299 of 2020, customized to research needs, encompasses five stages: data understanding, data preparation, modeling, evaluation, and deployment. Data from Mafindo comprises 9,756 instances divided into 7,804 training data and 1,952 test data. Six features source, capital, keyword, sentiment, fact-check, and classification are utilized as supervisory labels. Sentiment and fact-check features are constructed using the Multinomial Naïve Bayes method and modeled using the Decision Tree technique on the dataset. Modeling variations include dataset quantities of 2,000, 4,000, 6,000, and 8,000, along with addressing imbalance dataset issues. Utilizing the Confusion Matrix technique, modeling results indicate an accuracy of 93.5% and an F1 score of 0.935. It's observed that the imbalanced dataset minimally affects accuracy and F1 score but contributes to model stability concerning the quantity of data with specific labels.Keywords: Classification and Regression Trees; SMOTE; Confusion Matrix; Fact Check; Mafindo   AbstrakIdentifikasi hoaks cukup kompleks dan menantang dengan permasalahan seperti keanekaragaman hoaks, perubahan narasi yang cepat, kecepatan penyebaran yang luas, penggunaan teknologi canggih, kesulitan verifikasi, dan tantangan skala, yang dihadapi. Sebagai kepedulian dampak hoaks pada masyarakat, penelitain pembangunan fitur dalam identifikasi cerdas hoaks perlu dilakukan. Metodologi diadopsi dari CRISP-DM dan SKKNI No. 299 tahun 2020 yang disesuaikan dengan kebutuhan penelitian sehingga menjadi lima tahapan yaitu data understanding, data preparation, modeling, evaluation, dan deployement. Data diperoleh dari Mafindo dan digunakan sebanyak 9.756 data yang dibagi menjadi 7.804 data latih dan 1.952 data uji. Terdapat enam fitur yaitu sumber, kapital, keyword, sentimen, factcheck, dan klasifikasi sebagai label supervisi. Dua fitur sentimen dan factcheck dibangun dengan metode Multinomial Naïve Bayes, selanjutnya dilakukan pemodelan pada dataset dengan metode Decision Tree. Pemodelan dilakukan pula dengan variasi kuantitas dataset sebanyak 2.000, 4.000, 6.000, 8000, juga dengan perbandingan masalah imbalance dataset. Hasil pemodelan dengan teknik Confusion Matrix diperoleh akurasi 93,5% dan skor F1 0,935 dan diperoleh bahwa imbalance dataset tidak terlalu berpengaruh pada hasil akurasi dan skor F1 namun memberikan kestabilan model dalam hal kuantitas besarnya data dengan label tertentu. 
Hand Sign Interpretation through Virtual Reality Data Processing Tju, Teja Endra Eng; Shalih, Muhammad Umar
Jurnal Ilmu Komputer dan Informasi Vol. 17 No. 2 (2024): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Informatio
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jiki.v17i2.1280

Abstract

The research lays the groundwork for further advancements in VR technology, aiming to develop devices capable of interpreting sign language into speech via intelligent systems. The uniqueness of this study lies in utilizing the Meta Quest 2 VR device to gather primary hand sign data, subsequently classified using Machine Learning techniques to evaluate the device's proficiency in interpreting hand signs. The initial stages emphasized collecting hand sign data from VR devices and processing the data to comprehend sign patterns and characteristics effectively. 1021 data points, comprising ten distinct hand sign gestures, were collected using a simple application developed with Unity Editor. Each data contained 14 parameters from both hands, ensuring alignment with the headset to prevent hand movements from affecting body rotation and accurately reflecting the user's facing direction. The data processing involved padding techniques to standardize varied data lengths resulting from diverse recording periods. The Interpretation Algorithm Development involved Recurrent Neural Networks tailored to data characteristics. Evaluation metrics encompassed Accuracy, Validation Accuracy, Loss, Validation Loss, and Confusion Matrix. Over 15 epochs, validation accuracy notably stabilized at 0.9951, showcasing consistent performance on unseen data. The implications of this research serve as a foundation for further studies in the development of VR devices or other wearable gadgets that can function as sign language interpreters.
Smart System on Two-dimensional Shapes Recognition Application for Kindergarten Students Tju, Teja Endra Eng; Tamatjita, Elizabeth Nurmiyati
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.47494

Abstract

Abstract. Kindergarten-aged children are going through an important period of cognitive development, such as the ability to think concretely, including recognizing simple geometric shapes such as circles, triangles, and squares. However, many children find it difficult to understand the basic concepts of two-dimensional shapes.Purpose: It is necessary to develop prototype learning aids in the form of intelligent systems in two-dimensional shapes applications for kindergarten students, which utilize information technology and object visualization directly through cameras on smartphones. This is expected to increase children's learning motivation and help strengthen their understanding of two-dimensional shapes.Methods: The research combines Waterfall and Agile methodologies, tailoring them to four stages: plan and discovery, analysis and design, application development, and testing. Testing gathers accuracy with 120 smartphone-collected data points for square, triangle, circle, and pentagon shapes. Also, usability testing based on learnability, efficiency, memorability, error handling, and satisfaction, was obtained from six kindergarten teacher questionnaires and quantitatively processed.Results: The application achieves an accuracy rate of approximately 79%. Notably, accuracy decreases with fewer corners, mainly due to low resolution or lack of focus, resulting in simplified detected shapes. Regarding usability, it is evident that the application has received positive feedback from users, particularly kindergarten teachers, who have given it an average score of 78.83.Novelty: Distinguished from previous research, the novelty of this study resides in its ability to capture objects through a camera, eliminating the need for predefined shapes within the application, and innovating by creating an educational tool aligned with the kindergarten curriculum to recognize two-dimensional shapes. The research contribution is the creation of an innovative learning tool for kindergarteners, merging smartphone technology with real-world objects to teach two-dimensional shapes, thus integrating technology into early childhood education effectively, which has urgency in efforts to improve the quality of learning.
Comparative Analysis of Camellia and AES Across File Sizes and Types Tju, Teja Endra Eng; Alfadhillah, Fauzi
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 11 No. 1 (2026): January 2026
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.5418

Abstract

Data security is a critical aspect of modern information systems that requires processing cryptographic efficiency and resilience. This study compares two widely used symmetric encryption algorithms, named Camellia and AES, based on their performance and resistance to standard attack methods. An experimental approach was applied using 72 files across eight commonly used formats (*.mp3, *.jpg, *.png, *.pdf, *.docx, *.xls, *.pptx, and .txt) in three predefined sizes: 100 KB, 1 MB, and 10 MB. Each file underwent encryption and decryption in a controlled environment, with metrics such as processing time, CPU usage, and RAM consumption recorded. Simulated Dictionary, Birthday, and Brute-Force attacks were conducted to assess algorithm robustness. Results show that AES performs faster, especially on large files, but with higher memory usage. Camellia demonstrated more consistent RAM usage and stronger resistance, successfully withstanding all attacks except one brute-force case on a small plaintext file. AES suffered multiple breaches on structured files of smaller sizes. The findings suggest that algorithm selection should consider workload characteristics and system constraints. The main contribution of this research lies in its comprehensive dataset and empirical comparison, providing practical insights to support encryption algorithm choices in real-world applications.
Prediction of the COVID-19 Vaccination Target Achievement with Exponential Regression Tju, Teja Endra Eng; Maylawati, Dian Sa’adillah; Munawar, Ghifari; Utomo, Suharjanto
JISA(Jurnal Informatika dan Sains) Vol 4, No 2 (2021): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v4i2.1051

Abstract

The achievement of the national COVID-19 vaccination target in Indonesia is often reported to be uncertain with various existing obstacles. Prediction with exponential regression modeling is done by adopting part of the SKKNI Data Science with the stages of Data Understanding, Data Preparation, Modeling, Model Evaluation. The vaccination dataset from the Ministry of Health of the Republic of Indonesia for the period from January 13, 2021 to October 10, 2021, was randomly separated into training data of 0.8 parts and testing data of 0.2 parts. The optimal parameters of the exponential function are found using the scipy.optimize library in IPython. The model obtained was evaluated using MAE, RMSE, and R-Squared metrics on normalized training data, training data, test data, and recent data for seven days from 11 to 17 October 2021. The prediction results show that the vaccination target will be achieved 100 percent on January 18, 2022, while on December 31, 2021, only 80 percent will be achieved. From the recent data, it appears that more acceleration is needed, especially if it is desired to be achieved in December 2021 as determined by President Joko Widodo, there will be a shortfall of 20 percent based on the prediction results. 
Penguatan Branding Wisata Desa Kertawangi melalui Edukasi Digital dan Sosialisasi Komunitas Ahmad Pramegia; Justin Bongsoikrama; Lies Andayani; Aris Wahyu Kuncoro; Yuni Kasmawati; Astrid Dita Meirina Hakim; Teja Endra Eng Tju; Rina Ayu Vildayati; Yuphi Handoko Suparmoko
Jurnal Pengabdian kepada Masyarakat Indonesia (JPKMI) Vol. 5 No. 3 (2025): Desember: Jurnal Pengabdian Kepada Masyarakat Indonesia (JPKMI)
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpkmi.v5i3.8681

Abstract

The Community Service Program (PKM) in Kertawangi Village, Cisarua District, West Bandung Regency, aims to strengthen the village’s tourism branding through digital education and community-based social engagement. The program was implemented using a participatory approach involving residents in installing street name signs, conducting educational activities at the elementary school, providing digital tourism promotion training, and organizing interactive social events. The results show an increase in digital literacy, students’ learning motivation, and community participation in managing local potential. The publication of tourism promotion content on social media has enhanced the village’s visibility as an educational tourism destination. Beyond its physical outputs, the program strengthened social cohesion, local cultural values, and residents’ capacity to utilize information technology. This PKM initiative demonstrates that collaboration between universities and rural communities can foster sustainable empowerment through education and digitalization.
Optimization of School Administration with Augmented Reality and Payment Gateway Tju, Teja Endra Eng; Sidik, Fajar
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 8 No. 3 (2025): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v8i3.47545

Abstract

The rapid advancement of digital technology has highlighted the need for efficient and transparent school administration systems. Traditional manual student profile management and tuition payment processes often lead to delays, errors, and inefficiencies. This study proposes an integrated system that combines Augmented Reality (AR) for student profile photo standardization and a Payment Gateway for automated financial transactions. The AR feature enables students to capture standardized profile photos directly through the application, ensuring compliance with school regulations while reducing administrative workload. Simultaneously, the Payment Gateway supports multiple digital payment methods, enhancing transaction speed, security, and transparency. The research follows a four-stage methodology: Needs Analysis, Prototype Design, Application Development, and Testing & Refinement. Through Needs Analysis, key administrative challenges were identified, guiding the design and development of the system. The prototype was developed using Laravel for the backend, React for the front end, OpenCV for AR processing, and Midtrans as the Payment Gateway provider. Extensive testing, including User Acceptance Testing, demonstrated the system’s effectiveness in streamlining administrative tasks. The AR-based profile photo verification and secure online payment processing significantly improved user experience and efficiency. Refinements were made to optimize system performance, including enhanced image processing for low-quality cameras, real-time transaction retry mechanisms, and User Interface improvements for better navigation. This study contributes to the digital transformation of school administration by integrating AR and Payment Gateway technologies, providing a scalable, efficient, and user-friendly solution for educational institutions.
Transformasi Digital: Pelatihan E-Commerce untuk Meningkatkan Wirausaha di Villa Mutiara Serpong Agus Sriyanto; Yugi Setyarko; Teja Endra Eng Tju; Rina Ayu Vildayanti; Astrid Dita Meirina Hakim; Aris Wahyu Kuncoro
Jurnal Nusantara Berbakti Vol. 2 No. 2 (2024): April : Jurnal Nusantara Berbakti
Publisher : Universitas Kristen Indonesia Toraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jnb.v2i2.360

Abstract

The Villa Mutiara Serpong Pondok Jagung Complex is a dynamic environment with various social activities involving all community groups. This Community Service Activity (PKM) aims to improve the entrepreneurial spirit of citizens through e-commerce training. The methods used include identifying needs, planning and implementing training programs, and evaluating results. The training carried out covers the basic principles of e-commerce, the implementation process, utilization of the marketplace, and use of social media for product promotion. The results show an increase in citizens' understanding and skills in e-commerce, which has the potential to improve local business development and community welfare.
Co-Authors Agus Sriyanto Ahmad Pramegia Alfadhillah, Fauzi Amrullah, Fadlan Anggraini, Julaiha Probo Arby Sudewa Aris Wahyu Kuncoro Astrid Dita Meirina Hakim Astrid Dita Meirina Hakim Azaru, Nugraha Rama Dari, Ratna Ujian Dolly Virgian Shaka Yudha Sakti Dwi Kristanto Elizabeth Nurmiyati Tamatjita Fadlan Amrullah Fajar Sidik Ghifari Munawar Hakim, Astrid Dita Meirina Hidayat, Ravindra Safitra Idris Ipmawan, Hasan Jefri Yushendri Julaiha Probo Anggraini Justin Bongsoikrama Khalid, Zulvia Lies Andayani Marsin, Marsin Maruji Pakpahan Maulida Khiatuddin Maylawati, Dian Sa'adillah Muhammad Kamil Suryadewiansyah Nawindah, Nawindah Pakpahan, Maruji Pambuko Naryoto Ratna Ujiandari Rina Ayu Vildayati Said Said, Said Shalih, Muhammad Umar Shalih, Muhammad Umar Suryadewiansyah, Muhammad Kamil Syah, Muhammad Jusman Tri Ika Jaya Kusumawati Utomo, Suharjanto Vildayanti, Rina Ayu Wahyudi, Widi Wibowo, Imam Tri Widi Wahyudi Yugi Setyarko Yuni Kasmawati Yuphi Handoko Yuphi Handoko Suparmoko Yushendri, Jefri