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All Journal Bulletin of Electrical Engineering and Informatics PINTER : Jurnal Pendidikan Teknik Informatika dan Komputer Jurnal Teknologi Informasi dan Multimedia Indonesian Journal of Electrical Engineering and Computer Science Journal of Social Research
Widodo
Pendidikan Teknik Informatika Dan Komputer Universitas Negeri Jakarta
Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Library & Information Science Social Sciences

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Extended systematic clustering: Microdata protection by distributing semsitive values Widodo Widodo; Wahyu Catur Wibowo; Eko K. Budiardjo; Harry T. Y. Achsan
Bulletin of Electrical Engineering and Informatics Vol 9, No 4: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (591.025 KB) | DOI: 10.11591/eei.v9i4.1963

Abstract

Anonymity data for multiple sensitive attributes in microdata publishing is a growing field at present. This field has several models for anonymizing such as k-anonymity and l-diversity. Generalization and suppression became a common technique in anonymize data. But, the real problem in multiple sensitive attributes is sensitive value distribution. If sensitive values do not distribute evenly to each quasi identifier group, it is potentially revealed to sensitive value holder. This research investigated on how the high-sensitive values are distributed evenly into each group. We proposed a novel method/algorithm for distributing high-sensitive values when it forms groups. This method distributes high-sensitive values evenly and varies high-sensitive values in a group. We called our method as extended systematic clustering since it is an extension of systematic clustering method. Diversity metrics was used for evaluating our method. Experiment result showed our method outperformed systematic clustering with average diversity value 0.9719 while systematic clustering 0.3316. 
Pengembangan Sistem Pencarian Karya Akhir Berdasarkan Abstrak Menggunakan Full-Text Searching Di Sistem Informasi Perpustakaan Jurusan Teknik Elektro Universitas Negeri Jakarta Erna Selviyanti; Hamidillah Ajie; Widodo
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 1 No 2 (2019): August
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v1i2.8

Abstract

The research was conducted to develop a search system undergraduated thesis based on abstract using full-text searching in Library Information Systems Department of Electrical Engineering State University of Jakarta. The feature fulltext search system is developed to facilitate students in finding undergraduate thesis based on abstract. By using the select clause MATCH () ... Against, the data can be searched ordered by relevancy value. The research was conducted in the laboratory of multimedia Department of Electrical Engineering Faculty of Engineering, State University of Jakarta from September 2012 to December 2012. Development cycle of full-text search system conceptually consists of the design and analysis of systems, retrieval system development, integration of full-text search system to test SIPEL SIPEL 2013 and 2013. Full-text search system stores abstract 229 thesis abstract (undergraduate thesis, comprehensive, and TA) using XAMPP web server applications. Library Information Systems Department of Electrical Engineering State University of Jakarta (SIPEL 2013) has successfully integrated the SIPEL 2012 by adding databases and full-text search feature. The research use scripting language PHP and the MySQL database and worked on the Linux operating system by using a text editor Bluefish Editor and XAMPP as localhost server.
Design Analysis Achievement Target Database Information System at SEAMEO RECFON Dodi Suswandi; Ivan Hanfi; Widodo Widodo
Journal of Social Research Vol. 2 No. 11 (2023): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v2i11.1483

Abstract

SEAMEO Regional Center for Food and Nutrition (RECFON), is an organization of Southeast Asian Ministers of Education in the field of food and nutrition. The activities carried out by SEAMEO RECFON already have a fairly good system, but there are several problems SEAMEO RECFON actively conducts education, research, training, and community empowerment activities so the need for up-to-date information on food and nutrition topics and services and facilities support all these activities is very important. This important task must be supported by adequate facilities, including the procurement of data processing and communication devices capable of supporting RECFON's activities. For this reason, the author takes the title "Analysis and Design of the Target Achievement Database Information System System at SEAMEO RECFON " This SI / IT strategic planning is made using the Ward and Peppard framework with several analysis methods, namely value chain analysis, by mapping what are the main and supporter activities at SEAMEO RECFON and analyzing the problems of each activity. To see the strengths, weaknesses, opportunities, and threats, a SWOT (Strength, Weakness, Opportunity, Thread) analysis is used. Factors that are successful and can solve problems and needs are used in CSFs (Critical Success Factors) analysis. McFarlan Strategic Grid analysis is used to map existing applications in DPPKA Kampar based on categories, namely support, Key Operational, Strategic, and High Potential. The results achieved through this analysis method are recommendations in the form of 19 information systems, 10 information technologies, and 4 SI and IT management. The information system and information technology are made in the form of a roadmap that will be implemented over the next 3 years by SEAMEO RECFON
PEMETAAN RISET TENTANG DETEKSI TOPIK PADA TWITTER DENGAN TEKNIK SYSTEMATIC LITERATURE REVIEW Sri Suhartini; Widodo; Bambang Prasetya Adhi
PINTER : Jurnal Pendidikan Teknik Informatika dan Komputer Vol. 5 No. 1 (2021): Jurnal PINTER
Publisher : PTIK Fakultas Teknik UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/pinter.5.1.5

Abstract

Twitter merupakan salah satu media sosial yang banyak digemari orang, mulai dari anak remaja hingga dewasa. Di twitter banyak informasi yang akan didapatkan oleh para pengguna. Masing-masing informasi memiliki kata kunci untuk dikelompokkan topik bahasannya. Kata kunci yang dimaksud adalah kata yang memiliki posisi yang istimewa dalam sebuah kalimat. Dari kata kunci ini maka topik akan lebih mudah untuk di deteksi. Terdapat berbagai macam metode untuk mendeteksi topik pada twitter. Penelitian ini bertujuan untuk membuat peta riset deteksi topik pada twitter dengan teknik systematic literature review. Literatur yang digunakan berasal dari beberapa digital library yaitu IEEE eXplore, Sciencedirect, Google Scholar dan Citeseerx . Selanjutnya proses penyaringan literatur berdasarkan relevansi judul didapat 50 judul literatur. Setelah itu menganalisis isi dari masing-masing literatur. Hasil analisis menunjukkan terdapat 39 jenis metode deteksi topik. Metode terbanyak yang digunakan ialah Latent Dirichlet Allocation (LDA). Dan metode dengan tingkat akurasi tertinggi yang digunakan ialah Random Forest (RF) dan Naives Bayes dengan tingkat akurasi 95,5%.
PENGEMBANGAN WEB SERVICE APLIKASI UJIAN ESSAY ONLINE PADA PRODI PENDIDIKAN TEKNIK INFORMATIKA DAN KOMPUTER UNIVERSITAS NEGERI JAKARTA Muhammad Azhar Hermawan; Hamidillah Ajie; Widodo
PINTER : Jurnal Pendidikan Teknik Informatika dan Komputer Vol. 9 No. 2 (2025): Jurnal PINTER
Publisher : PTIK Fakultas Teknik UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/pinter.9.2.6

Abstract

Pelaksanaan ujian pada beberapa mata kuliah di Pendidikan Teknik Informatika dan Komputer (PTIK) Universitas Negeri Jakarta dilaksanakan secara online. adapun instrumen pelaksanaannya menggunakan aplikasi dari pihak ketiga yang bervariasi dan sesuai dengan pilihan tiap dosen. Banyaknya variasi dari aplikasi yang digunakan memungkinkan data pelaksanaan ujian ataupun data hasil ujian pada setiap ujian tidak terintegrasi secara maksimal. Oleh karena itu dibutuhkan sebuah solusi berupa aplikasi ujian essay yang dikembangkan sesuai dengan kebutuhan ujian pada Prodi PTIK dan dapat diintegrasikan dengan sistem lain seperti Sistem Informasi Akademik (SIAKAD). Tujuan dari penelitian ini adalah untuk menghasilkan web service yang dapat digunakan untuk mengembangkan aplikasi ujian essay yang memiliki sifat adaptif terhadap perubahan kebutuhan di masa mendatang. Pengembangan dilakukan dengan menggunakan konsep RESTful API, metode Spiral, framework ExpressJS dan menghasilkan 229 endpoint. Pengujian web service dilakukan terhadap seluruh endpoint dengan menggunakan metode unit testing dan bantuan tools Postman. Berdasarkan hasil pengujian dapat disimpulkan bahwa seluruh endpoint telah berfungsi dengan baik dan layak digunakan sebagai sisi back-end pada aplikasi ujian essay online.
Convolutional neural network DenseNet in classifying dyslexic handwriting images Chelsea Zaomi Pondayu; Widodo Widodo; Murien Nugraheni
Indonesian Journal of Electrical Engineering and Computer Science Vol 41, No 1: January 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v41.i1.pp220-232

Abstract

Dyslexia is a specific learning disability (SLD) associated with word-level reading difficulties and often manifests in childhood handwriting through irregular spacing and inconsistent letter sizing, due to shared phonological and orthographic processing. Early identification is critical; however, traditional diagnostic procedures are time-consuming and unsuitable for large-scale screening. This study aimed to develop a handwriting analysis at the paragraph-level using a DenseNet121 convolutional neural network (CNN) model as a low-cost dyslexia screening tool for resource-constrained educational settings. One hundred English handwriting images were preprocessed and standardized into two hundred samples, with 70% of the dataset evaluated using 4-fold cross-validation and the remaining 30% used for testing. The model achieved 90% test accuracy and 92.86% training accuracy, significantly outperforming a random forest baseline that reached 83.57% train accuracy and 63.33% test accuracy, with statistical significance confirmed by McNemar’s test. The main contribution of this study is the demonstration that a lightweight, single-architecture DenseNet121 using paragraph-level analysis can achieve competitive performance compared to prior studies that relied on more complex hybrid models and character-level analysis, while requiring substantially lower computational resources and simplified pipeline. These findings indicate that DenseNet121 provides a robust and low-cost solution for preliminary dyslexia screening in resource-limited educational environments.
Co-Authors Adhi, Bambang Prasetya Chelsea Zaomi Pondayu Dodi Suswandi Eko K. Budiardjo Erna Selviyanti Hamidillah Ajie Harry T. Y. Achsan Ivan Hanfi Muhammad Azhar Hermawan Murien Nugraheni Sri Suhartini Wahyu Catur Wibowo