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All Journal Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora Journal Technology Information and Data Analytic
Timor Setiyaningsih
Darma Persada University
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Library & Information Science Social Sciences Other

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Training on the Use of AI Tools to Support High School/Vocational High School Education in Jakarta Herianto S.Pd., MT; Timor Setiyaningsih; Linda Nur Afifah
JEPTIRA Vol 2 No 2 (2024)
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jep.v2i2.69

Abstract

The numerous facets of education have been significantly transformed by artificial intelligence (AI) technology. It is currently in widespread use to improve the efficiency of learning, provide personalized learning experiences, and assist instructors in managing administrative responsibilities. In addition to its advantages, the integration of AI into education also poses obstacles, including ethical concerns, excessive dependence on technology, and doubts about the validity of learning outcomes. The objective of this community service activity is to investigate the potential benefits and drawbacks of AI applications in education, as well as to offer suggestions for their effective implementation. Educators can employ AI more responsibly and effectively by comprehending both the advantages and obstacles. The training is administered online to ensure that a diverse audience, including high school and vocational school teachers in Jakarta, has access to the material. It commences with a pre-test to assess the initial comprehension of AI tools among participants. A post-test is administered at the conclusion of the session to assess the extent to which the knowledge has been enhanced as a result of the training
Overview of LabVIEW as a Graphical Programming Tool for Developing Industrial Technology Proficiency Reza Istoni; Yefri Chan; Nur Hasanah; Sarah Isniah; Budi Sumartono; Suzuki Syofian; Timor Setiyaningsih
JEPTIRA Vol 3 No 1 (2025)
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jeptira.v3i1.94

Abstract

The purpose of this session is to expose participants with technical and vocational educational backgrounds to LabVIEW graphics programming software. In technical and industrial domains like biotechnology, aircraft, and telecommunications, LabVIEW is a commonly used system development tool. Hands-on practice and a demonstrative approach are used in the in-person instruction. LabVIEW's foundations, industrial applications, and hardware and software integration are all covered in the curriculum. The training results show that participants have a better understanding of visual programming and its possible uses in the business. This program is a component of a larger strategy to promote Industry 4.0-aligned technological literacy.
Strengthening SDIT Students Computational Thinking through Computational Thinking Activities - Unplugged Binary Digits and Product Codes Andi Susilo; Timor Setiyaningsih; Eva Novianti; Yahya
JEPTIRA Vol 3 No 2 (2025)
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jeptira.v3i2.128

Abstract

Computational thinking (CT) is a key 21st-century competency that needs to be developed from elementary school level because it is related to problem-solving skills, logical thinking, and creativity in the context of digital technology. Teachers play a central role in integrating CT into learning, but many elementary school teachers are unfamiliar with the concept of CT or its learning strategies. One effective approach that is appropriate for the characteristics of elementary school students is the CT-Unplugged activity, a computer-free activity that represents core computer science concepts in a concrete and enjoyable way. This community service activity aims to improve the understanding and skills of SDIT Mafatih teachers in implementing two CT-Unplugged modules: how binary digits work and checking product code digits (check digits), as a means of strengthening students' CT. The training was conducted at SDIT Mafatih involving 23 teachers through material presentations, demonstrations, activity simulations, and lesson plan design. Evaluation used pre- and post-tests of CT knowledge as well as questionnaires on perceptions and confidence in teaching CT. The results showed an increase in teachers' knowledge scores regarding CT concepts and binary digit/product code materials, as well as increased confidence in adapting CT-Unplugged activities into classroom learning. Teachers also produced several learning activity designs that integrated the module with elementary school lesson themes. This activity demonstrated that structured CT-Unplugged-based training is effective in building CT literacy and pedagogical capacity in elementary school teachers.
Perancangan Aplikasi Absensi dan Pengawasan Ruangan dengan Pengenalan Wajah menggunakan metode Convolutional Neural Network Rizki Nurpadilah; Timor Setiyaningsih
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.81

Abstract

The development of technology in the field of facial recognition provides a great opportunity to improve efficiency and security in various aspects, one of which is the attendance and room surveillance system. This study aims to design an attendance and room surveillance application based on facial recognition using the Convolutional Neural Network (CNN) method in a private company engaged in the property sector. This application is designed to simplify the employee attendance process and improve room surveillance by automatically recognizing employee faces, thereby reducing the risk of attendance fraud and ensuring more accurate attendance. The CNN method was chosen because of its ability to process images and recognize facial patterns with high accuracy. This system consists of several main features, namely employee face registration, automatic face-based attendance, and monitoring employee presence in the office space. The test results show that this application is able to identify faces with a good level of accuracy, as well as provide convenience and comfort for users.
Decision Tree Regression Approach to Modeling Dengue, Tuberculosis, and Diarrhea Case Numbers Muhammad Dzaki Zahirsyah; Timor Setiyaningsih
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 2 (2025)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i2.121

Abstract

The increasing incidence of Dengue Hemorrhagic Fever (DHF), Tuberculosis (TB), and Diarrhea in a district area highlights the urgent need for a data-driven prediction system to support public health policy. This study develops a predictive model of case numbers at the sub-district level using the Decision Tree Regression algorithm within the CRISP-DM methodology. Secondary data from 2020-2023 were utilized, including disease case records (Health Office), demographic data (BPS), and environmental data (BMKG). The system was implemented as a web-based application built with PHP and Python/Flask, enabling dataset management, model retraining, and interactive visualization of predictions, complemented by risk classification and recommended interventions. Experimental results demonstrate high predictive accuracy, with R² values of 0.9130 for TB, 0.8805 for DHF, and 0.8228 for Diarrhea. Overall, the proposed system serves as an objective and measurable decision-support tool, assisting the District Health Office in formulating preventive policies more rapidly and effectively.
Co-Authors Andi Susilo Budi Sumartono Eva Novianti Herianto S.Pd., MT Linda Nur Afifah Muhammad Dzaki Zahirsyah Nur Hasanah Reza Istoni Rizki Nurpadilah Sarah Isniah Suzuki Syofian Yahya yefri chan