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All Journal Syntax Literate: Jurnal Ilmiah Indonesia IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Pengembangan Riset dan Observasi Teknik Informatika JURNAL PENDIDIKAN TAMBUSAI Abdimas Universal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Bulletin of Computer Science Research International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat International Journal of Multidisciplinary Research and Literature (IJOMRAL) Journal Of Human And Education (JAHE) Innovative: Journal Of Social Science Research Jurnal Multidisiplin Sahombu Kohesi: Jurnal Sains dan Teknologi Journal of Innovative and Creativity Jurnal SINTA: Sistem Informasi dan Teknologi Komputasi
Jefry Sunupurwa Asri
Fakultas Ilmu Komputer, Universitas Esa Unggul, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Pelatihan dan Implementasi Sistem Verifikasi Ijazah Digital Berbasis n8n dan Filament di SMKN 1 Kabupaten Tangerang Asri, Jefry Sunupurwa; Aryani, Diah; Fannya, Puteri; Arfian, Muhamad Hadi; Widyawan, Tri Ismardiko; Ramadhan, Iksan
Abdimas Universal Vol. 8 No. 1 (2026): April
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Balikpapan (LPPM UNIBA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36277/abdimasuniversal.v8i1.2838

Abstract

This community service activity was conducted to address the problem of diploma verification at SMKN 1 Kabupaten Tangerang, which is still carried out manually, requiring considerable time and posing risks of recording errors and document loss. This activity aims to develop and implement a digital-based diploma verification system to improve efficiency, accuracy, and the quality of administrative services. The system utilizes Laravel Filament as the administrative interface, n8n for workflow automation, MySQL as the database, and Optical Character Recognition (OCR) technology to automatically extract information from diploma documents. The implementation results show a significant performance improvement, where verification time decreased by more than 90%, from 10–15 minutes to less than one minute per document. In addition, data accuracy increased from approximately 85% to 98%, and document retrieval speed improved by more than 80%. Based on user satisfaction questionnaire results, 100% of respondents stated that the system is easy to use and helps accelerate administrative tasks. Therefore, the developed system is proven to be effective in supporting the digital transformation of academic document management in the school environment.
Implementasi Game Edukasi Adaptif untuk Anak Berkebutuhan Khusus di Yayasan Yenaiz Kota Tangerang Ariessanti, Hani Dewi; Asri, Jefry Sunupurwa; Laksana, Ryan Putra; Suharti, Dwi Sloria; Fikri, Muhammad; Dzaki, Muhammad Thifaal; Erlangga, Ravi Era; Fathir, Mohammad Nafilah; Putraku, Daniel Marciano; Raditya, Paramadinah Aqil
Abdimas Universal Vol. 8 No. 1 (2026): April
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Balikpapan (LPPM UNIBA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36277/abdimasuniversal.v8i1.2841

Abstract

This community service activity aims to improve the quality of learning and the well-being of children with special needs through the use of mobile-based technology. The partner institution faces several challenges, including limited adaptive learning media, the continued use of conventional teaching methods, and a shortage of caregivers for optimal assistance, resulting in less structured learning processes and limited support for children's independence. To address these issues, an adaptive educational game was implemented as a mobile application designed with simple visuals, interactive features, and offline usability to suit the children's needs. The implementation method included program socialization, training for caregivers on how to use the application, direct application in daily activities, and evaluation through observation and discussion. The results show that the use of the educational game increases children's engagement in learning activities, helps them understand daily routines more effectively, and supports caregivers in providing more efficient assistance. Therefore, the adaptive educational game can serve as an effective, user-friendly, and sustainable learning medium for children with special needs.
Penerapan Random Forest dan Content-Based Filtering pada Alokasi Tenaga Kesehatan Hipertensi Jefry Sunupurwa Asri; Diah Aryani; Puteri Fannya; Ratna Dewi
Journal of Information System Research (JOSH) Vol 7 No 2 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i2.9251

Abstract

Hypertension is a major health issue in DKI Jakarta requiring efficient resource distribution to overcome inter-regional access inequalities. This research aims to design and implement a web-based decision support system (DSS) integrating Geographic Information System (GIS) to optimize health worker allocation and determine hypertension priority areas precisely. The novelty lies in integrating a Random Forest machine learning model to predict service coverage until 2030 with Content-Based Filtering (CBF). The CBF method utilizes intrinsic regional features, including service percentages, geographical locations, and prediction trends, to generate objective health worker quota recommendations. The Random Forest model was validated using 5-Fold Cross Validation with excellent performance, showing an average R² value of 0.86 and an accurate Mean Absolute Error (MAE) of 6.7%. The system is implemented using Streamlit and Folium frameworks for geographical visualization. Research results provide contributions through priority area maps, adaptive health worker quota recommendations, and Mobile Health Clinic route simulations supporting data-driven decision-making. Through this system, policymakers can perform strategic planning to improve hypertension intervention effectiveness in Jakarta. With an integrated predictive and recommendation approach, this study is expected to become a reference in the digital transformation of public health resource allocation more equitably and accurately.
Implementation of the Combination of Caesar Cipher, Vigenère Cipher, and Vigenère Autokey in a Diary Web Application to Improve Data Storage Security Muhammad Arifin Sulistiono; Alfin Khalaj Syahruwardi; Fitra Candra Ramadhani; Jefry Sunupurwa Asri
Jurnal Multidisiplin Sahombu Vol. 6 No. 01 (2026): Jurnal Multidisiplin Sahombu, January 2026
Publisher : Sean Institute

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Abstract

Data storage security is a crucial aspect of information systems, as the value and threats to digital data increase. Classical cryptography, such as the Caesar Cipher and the Vigenère Cipher, individually suffer from cryptanalysis attacks, particularly frequency analysis. Therefore, this study aims to analyze the application of the combined Caesar Cipher and Vigenère Cipher algorithms, specifically the Vigenère Autokey variant, as a form of super-encryption to enhance the security of text data storage. The research method used is a literature review with a descriptive-analytical approach, analyzing several relevant previous studies. The analysis results show that the combination of the Caesar Cipher and Vigenère Autokey algorithms can quantitatively improve security, as indicated by the increase in entropy compared to using a single algorithm. Furthermore, this combination remains computationally efficient and does not increase the size of the encrypted data, thus offering potential for application as a lightweight cryptographic solution for securing text data storage. However, previous research still has limitations, particularly in character set support and symmetric key management, which opens up opportunities for further research.
A Comparative Analysis of the Advanced Encryption Standard (AES) 128-, 192-, and 256-Bit Algorithms in Digital Data Security Putra Daffa Dwiyansah; Fiqri Fathurrohman; Nakhwah Alfikry; Jefry Sunupurwa Asri
Jurnal Multidisiplin Sahombu Vol. 6 No. 02 (2026): Jurnal Multidisiplin Sahombu, 2026
Publisher : Sean Institute

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Abstract

Data security is a crucial aspect of modern information systems as digital data exchange via the internet increases. One widely used solution to protect data confidentiality and integrity is the Advanced Encryption Standard (AES) cryptographic algorithm, which has three main variants based on key length: AES-128, AES-192, and AES-256. This study aims to analyze and compare the security characteristics and performance of these three AES variants based on a literature review of five relevant national journals. The research method used is a literature review with an analysis and synthesis approach to previous research results. The results show a consistent trade-off between security level and computational efficiency. AES-128 excels in speed and resource efficiency, making it suitable for devices with computing limitations. AES-192 offers a balance between performance and security, while AES-256 provides the highest level of security at the expense of increased processing time and resource usage. The conclusion of this study emphasizes that the selection of an AES variant must be tailored to system requirements and data sensitivity levels, and opens up opportunities for further research related to optimizing AES implementation, particularly in modern web application environments.
KLASIFIKASI SENTIMEN ULASAN PENGGUNA HALODOC MULTIPLATFORM MENGGUNAKAN LSTM DENGAN PELABELAN INDOBERT Dian Dwi Pramesti; Nizirwan Anwar; Diah Aryani; Jefry Sunupurwa Asri
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

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Abstract

Pertumbuhan layanan telemedicine di Indonesia menghasilkan volume ulasan pengguna yang besar pada toko aplikasi dan media sosial.Ulasan tersebut memuat pengalaman. kritik. serta saran yang dapat digunakan untuk mengevaluasi kualitas layanan. tetapi jumlahnyamembuat analisis manual menjadi tidak efisien. Penelitian ini menerapkan Long Short-Term Memory (LSTM) untukmengklasifikasikan sentimen ulasan Halodoc yang dihimpun dari Google Play Store dan platform X. Dataset gabungan berisi 20.535teks. terdiri atas 10.000 ulasan Google Play Store dan 10.535 unggahan X. Tahap pengolahan meliputi case folding, cleansing,normalisasi kata, tokenisasi, dan penghapusan stopword. Label sentimen positif, netral, dan negatif dibentuk secara otomatismenggunakan IndoBERT, kemudian data dibagi menjadi 80% data latih dan 20% data uji untuk pelatihan model LSTM. Hasilpengujian menunjukkan accuracy 86,12%, precision 86,14%, recall 86,12%, dan F1-score 86,12%. Audit terhadap berkas data mentahjuga menunjukkan heterogenitas panjang teks antarsumber dan keberadaan duplikasi persis yang perlu diperhatikan untuk mencegahkebocoran data. Secara umum, LSTM mampu mengklasifikasikan sentimen pada data multi-platform dengan performa yang konsisten,sedangkan validasi manual terhadap label IndoBERT dan pengendalian duplikasi menjadi langkah penting untuk memperkuat validitashasil
Co-Authors Adi Widiantono Akbar, Habibullah Alfin Khalaj Syahruwardi Alindya, Yashinta Andriyanti Asianto Ardiansyah, Najib Ardra Rianisa Athirah Media Sari Aulia, Teguh Tegar Baby Anjeli Bayu Sulistiyanto Ipung Sutejo Budi Tjahjono Diah Aryani, Diah Dian Dwi Pramesti Diana Novita Dini Febryana Sari Dwi Sloria Suharti Dzaki, Muhammad Thifaal Eka Jiparolim Eko Nurcahyo Erlangga, Ravi Era Evi Martaseli Fandi Fajar Maulana Fannya, Puteri Fathir, Mohammad Nafilah Fiqri Fathurrohman Firnanda Amalia Fitra Candra Ramadhani Hani Dewi Ariessanti Hermansyah Hermansyah Hermansyah Hermansyah Herwanto, Agus Inayatul Janah Iwan Setiawan Juwita, Silvia Ratna Laylita Nur Hillalia Maulana, Fandi Fajar Muhammad Arifin Sulistiono Muhammad Farhan Muhammad Fikri Muhammad Fikri Muhammad Fikri Muhammad Hadi Arfian Muhammad Thifaal Dzaki Muhammad Thifaal Dzaki Muhammmad Hadi Afrian Nakhwah Alfikry Nixon Erzed Nizirwan Anwar Putra Daffa Dwiyansah Putraku, Daniel Marciano putri, amanda Raditya, Paramadinah Aqil Ramadhan, Raihan Fadhli Ramzy Haediprawira Ratna Dewi Ratna Yulika Go Rismayanti, Irna Rohman, Ubaedillah Rosandi, Arditya Adjie Ryan Putra Laksana Ryan Putra Laksana Saputra, Ramadhan Tri Rizky Sawali Wahyu Septian, Ferby Setiawati, Popong Sitanggang, Josua Pangihutan Sobri, Mukhamad Asep Suharti, Dwi Sloria Supriyono, Dhicky Hariyadi Sutanto, Imam Tek Kheng Umam, Azkiya Zahrul Wahyu, Sawali Widyawan, Tri Ismardiko Yudhi, Muhammad Febri Yulhendri Yulhendri