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All Journal JUITA : Jurnal Informatika EMITTER International Journal of Engineering Technology InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Teknologi Terapan Infotekmesin Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora Jurnal Sains & Teknologi Fakultas Teknik Universitas Darma Persada Journal Technology Information and Data Analytic
Aji Setiawan
Universitas Darma Persada
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Social Sciences Other

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Advanced Prompting Techniques for Artificial Intelligence-Based Learning Innovation Yan Sofyan Andhana Saputra; Adam Arif Budiman; Aji Setiawan; Afri Yudha; Ade Supriatna; Ario Kurnianto; Asyari Dariyus
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.v3i1.98

Abstract

This community service program was designed to strengthen the capacity of teachers and lecturers in utilizing advanced prompting techniques based on Artificial Intelligence (AI) to support instructional innovation. The focus of the training was on two effective methods Chain of Thought (CoT) and Role Prompting which enhance human-AI interaction in educational contexts. The activity was conducted through face-to-face workshops involving 25 participants from various educational institutions, combining theoretical explanations, hands-on practice, and case-based discussions. Participants learned how to construct structured and contextual prompts for teaching applications such as lesson planning, explanation of concepts, and simulation-based learning. Evaluation results showed a significant improvement in participants’ understanding and ability to apply prompt engineering strategies, as reflected in both assessment scores and the quality of practical outputs. The program also contributed to raising awareness about ethical AI usage in education and emphasized the role of digital literacy in enabling educators to adapt to the demands of digital transformation.
Perancangan Sistem Informasi Berbasis Web Pendataan Stok Helm di Toko Helm Bogor Tommy Sudibyo; Aji Setiawan
Journal TIFDA (Technology Information and Data Analytic) Vol 1 No 1 (2024)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v1i1.26

Abstract

Toko Helm Bogor merupakan usaha otomotif yang beroperasi di Kabupaten Bogor dan memiliki cabang di Bekasi. Proses pendataan stok barang saat ini masih dilakukan secara manual menggunakan Microsoft Excel, yang mengakibatkan kurangnya efisiensi dan akurasi dalam pengolahan data. Sistem informasi ini dirancang untuk mempermudah pengelolaan keluar masuk barang dan laporan stok secara cepat serta mudah. Aplikasi ini mengatur data masuk dan menampilkan laporan yang lengkap sesuai kebutuhan admin. Studi kasus ini menggunakan MySQL sebagai basis data, dan pengembangan aplikasi mengikuti metode waterfall yang dipilih berdasarkan referensi dari berbagai sumber. Diharapkan, sistem informasi ini dapat meningkatkan efisiensi dan akurasi dalam proses pendataan stok barang di Toko Helm Bogor.
Pemanfaatan Augmented Reality dalam Pembelajaran Struktur Atom di SMA Cahaya Sakti Dwiky Muhammad Reza; Aji Setiawan; Bagus Tri Mahardika
Journal TIFDA (Technology Information and Data Analytic) Vol 1 No 1 (2024)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v1i1.30

Abstract

Augmented Reality (AR) adalah teknologi yang memadukan elemen dunia nyata dengan dunia virtual secara langsung. Berbeda dengan virtual reality yang menggantikan seluruh lingkungan nyata, AR hanya menambahkan komponen visual ke dalam lingkungan fisik. Teknologi ini berfungsi dengan menampilkan objek 3D pada marker yang dikenali oleh aplikasi. Penggunaan smartphone memungkinkan aplikasi AR menjadi lebih terjangkau dan mudah diakses oleh banyak pengguna. AR memiliki beragam manfaat di berbagai bidang, salah satunya dalam dunia pendidikan. Studi ini mengembangkan aplikasi AR sebagai alat bantu pembelajaran bagi siswa, menggunakan Vuforia SDK pada platform Android untuk menciptakan pengalaman belajar yang lebih interaktif melalui AR.
Implementasi Teknologi IOT Untuk Pengontrolan Peralatan Elektronik Rumah Tangga Berbasis Android Arya Daiva Maulana; Aji Setiawan
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.v2i2.61

Abstract

The development of information technology has triggered innovation in various sectors, one of which is the Internet of Things (IoT). This study aims to develop a prototype controller for Android-based electronic devices using IoT technology. The method used involves object-focused techniques and uses Wookwi as the main tool. This prototype utilizes an internet connection to allow users to control electronic devices such as lights and others remotely. The user interface is presented through the Blynk platform. In this context, the study highlights the difficulty of controlling several electronic devices with a remote control separately. The implementation of IoT in controlling electronic devices at home is expected to overcome these obstacles. This study proposes the development of a system that uses an internet connection to control electronic devices, especially through smartphones. This not only increases user convenience but also helps reduce energy waste and high electricity costs. The research involves the stages of data collection, analysis, and system design with a focus on the use of the Blynk microcontroller, which acts as the brain in the control system. The result is a prototype application that allows users to control electronic devices efficiently via the internet, providing a practical solution to overcome challenges in remote control. In conclusion, the implementation of IoT in this prototype proves that users can easily control electronic devices remotely, increasing the efficiency of electrical energy use.
Deteksi CO di Kabin Kendaraan Berjarak Jauh dan Analisis Kepadatan Lalu Lintas Menggunakan Logika Fuzzy: Deteksi CO di Kabin Kendaraan Berjarak Jauh dan Analisis Kepadatan Lalu Lintas Menggunakan Logika Fuzzy Suzuki Syofian; Aji Setiawan; Muhamad Fathan; Rolan Siregar
JUITA: Jurnal Informatika JUITA Vol. 13 Issue 2, July 2025
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v13i2.26854

Abstract

Carbon monoxide (CO) inside vehicle cabins poses a significant health risk to passengers and can even lead to fatalities. This danger primarily arises from inadequate ventilation, which allows exhaust fumes to seep into the cabin and be gradually inhaled. CO is a gas that lacks color, odor, taste, and does not cause irritation, making it difficult to detect without proper tools. It is commonly encountered in industrial environments and is produced by the incomplete combustion of fuel in motor vehicles, heating systems, devices that burn carbon-based materials, wood stoves, train emissions, gas burning, and even tobacco smoke. However, the primary contributor is the residual combustion from vehicle engines. Given these concerns, this study aims to develop a system to monitor and control carbon monoxide concentrations within vehicle cabins using fuzzy logic. The system achieved an average error rate of 2.9% in reducing CO concentrations, with responsive fan control latency below 5 seconds. A microcontroller will serve as the core component for processing and control. The implementation of this system is expected to enable real-time detection of CO levels in the cabin and alert the driver accordingly. Ultimately, this can help reduce incidents of CO poisoning among vehicle occupants
PENINGKATAN MUTU BAHAN AJAR ONLINE UNTUK GURU-GURU MI/MTS AL-WATONIYAH Aji Setiawan; Suzuki Syofian; Bagus Tri Mahardika; Herianto; Yahya
JEPTIRA Vol 1 No 1 (2023)
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jep.v1i1.10

Abstract

Setiap Perguruan Tinggi diwajibkan melaksanakan Tridharma Perguruan Tinggi. Tridharma perguruan tinggi ini adalah Pendidikan, Penelitian, dan Pengabdian Masyarakat. Pengabdian Masyarakat merupakan kewajiban yang harus dilaksanakan per semester, hal ini dilaksanakan berkaitan dengan kepedulian yang bergerak di bidang Pendidikan khususnya Pendidikan Tinggi dengan mengikuti perkembangan dan kemajuan teknologi. Keterampilan komputer merupakan keterampilan yang sangat diperlukan dalam berbagai pekerjaan khususnya dibidang multimedia. Bidang multimedia yang disampaikan pada pengabdian masyarakat ini antara lain: video editing dengan filmora, penggunaan whiteboard animation kontent kreatif, mengelola presentasi dengan power point, tools untuk pengajaran. Bidang keterampilan ini dibutuhkan untuk peningkatan kualitas bahan ajar online bagi guru-guru MI/MTs Al-Watoniyah. Adanya pelatihan multimedia ini diharapkan bertambahnya variasi keterampilan untuk menyampaikan materi pengajaran kepada siswa-siswa MI/MTs Al-Watoniyah.
PENGGUNAAN ARTIFICIAL INTELIGENT (AI) UNTUK PENINGKATAN KUALITAS PENELITIAN UNTUK PENELITI DAN TENAGA PENDIDIK DI JAKARTA TIMUR Suzuki Syofian; Aji Setiawan; Adam Arif Budiman; Timor Setyaningsih
JEPTIRA Vol 1 No 1 (2023)
Publisher : Fakultas Teknik Universitas Darma Persada

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

Abstract

Pengabdian masyarakat (PKM) membahas inisiatif pengabdian masyarakat yang bertujuan untuk meningkatkan kompetensi tenaga pengajar di tingkat sekolah dan universitas melalui pelatihan penggunaan berbagai tools AI. Fokus utama adalah pada platform AI seperti ChatGPT, PerplexAI, Humata AI, ChatPDF, dan sejenisnya. Metodologi pengabdian masyarakat dilakukan dengan menyelenggarakan serangkaian pelatihan intensif yang mencakup pengenalan, pemahaman, dan penerapan praktis tools AI dalam lingkungan pendidikan. Beberapa tools praktek yang digunakan diharapkan mampu membantu para peneliti untuk mudah dan cepat dalam menyusun laporan penelitian.
Introduction to AI and Computational Thinking for Teachers at SDIT Mafatih Bekasi Linda Nur Afifa; Adam Arif Budiman; Aji Setiawan; Afri Yudha
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.v3i2.127

Abstract

The development of Artificial Intelligence (AI) and the demand for strengthening Computational Thinking (CT) skills make AI and CT literacy a key competency for educators in the 21st century. At the elementary level, particularly in Integrated Islamic Elementary Schools (SDIT), teachers play a crucial role in instilling systematic thinking and technological literacy from an early age, yet many teachers lack conceptual understanding or practical skills related to AI and CT. This community service activity aims to improve SDIT teachers' basic understanding of AI concepts, examples of AI applications in education, and the CT process and its implementation in elementary school learning activities. The activity was carried out in the form of face-to-face training that included material presentations, demonstrations of educational AI applications, and practical CT activity designs tailored to the characteristics of elementary school students. Evaluation was conducted using pre- and post-tests to measure knowledge gains, and questionnaires to assess participants' perceptions and satisfaction levels. The implementation results showed an increase in participants' knowledge scores between before and after the training, accompanied by a more positive change in attitudes towards the use of AI and CT in the classroom. Teachers were also able to design simple and contextual CT-based learning activities for elementary school students. This activity shows that structured training with a combination of conceptual material and directed practice is effective in building AI and CT literacy among SDIT teachers.
Implementasi Quality Management System Pada Baterai Lithium Dengan Metode Convolutional Neural Network (CNN) Desiana Elsa Emilia; Aji Setiawan
Journal TIFDA (Technology Information and Data Analytic) Vol 1 No 2 (2024)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v1i2.36

Abstract

Baterai lithium-ion adalah termasuk dalam jenis baterai sekunder (jenis baterai yang dapat diisi ulang) yang berfungsi untuk menyimpan dan mengalirkan energi secara elektrokimia. Baterai Lithium-Ion umumnya digunakan dalam berbagai perangkat elektronik portabel seperti smartphone, laptop, tablet, kamera digital, dan perangkat elektronik lainnya. Baterai Li-Ion terdiri dari sel-sel individu yang memiliki elektroda positif (anoda) dari lithium dan elektroda negatif (katoda) yang biasanya terbuat dari grafit. Penggunaan metode Convolutional Neural Network berguna untuk deteksi kecacatan produk yang digabungkan dengan beberapa model seperti ResNet, MobileNet, dan Inception. Penggunaan kombinasi ini telah terbukti menghasilkan tingkat akurasi yang signifikan dalam mengidentifikasi cacat pada produk baterai. Model dilatih dengan dataset yang cukup besar dan memiliki arsitektur yang mampu untuk mendeteksi kecacatan baterai dengan lebih baik, dan canggih. Model CNN yang telah dikembangkan mampu mengklasifikasikan jenis baterai menggunakan 3 model berbeda dan menghasilkan tingkat akurasi yang cukup tinggi. Hasil pengujian dengan 100 epoch menggunakan optimizer Adam menghasilkan tingkat akurasi sebesar 96% untuk model Inception, model ResNet menghasilkan akurasi sebesar 94% dan model MobileNet yang menghasilkan tingkat akurasi sebesar 92%. Dalam hal ini, model ResNet direkomendasikan untuk klasifikasi karena dapat memprediksi hasil dengan lebih akurat dibanding model MobileNet dan Inception.
Comparative Analysis of Naïve Bayes and SVM Algorithms for Early Detection of Lung Disease at Cimuning Community Health Center Jordi Hafidz; Aji Setiawan
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.v2i1.75

Abstract

Comparative Analysis of Naïve Bayes and SVM Algorithms for Early Detection of Lung Disease at Cimuning Community Health Center
Co-Authors Adam Arif Budiman Adam Arif Budiman Ade Supriatna Aditha Artanti Afri Yudha Afri Yudha Andi Susilo andi susilo Andika Andika Andriansyah Zakaria Ario Kurnianto Arya Daiva Maulana Asyari Dariyus Bagus Tri Mahardika Chairul Rizki Desiana Elsa Emilia Dwiky Muhammad Reza Eva Novianti Fajar Ilhami Indo Syaputra Herianto Herianto Jordi Hafidz Linda Nur Afifa Muhamad Fathan Nabillah Indah Tsuraya Putri Handayani Rimba Sianturi Rizka Mulyanti Siregar, Rolan Suzuki Syofian Suzuki Syofian Timor Setyaningsih Tommy Sudibyo Yahya Yahya Yan Sofyan Andhana Saputra Yan Sofyan Andhana Saputra Zahra Khanza Aurilia