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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Computech & Bisnis (e-Journal) Information System for Educators and Professionals : Journal of Information System Informatics for Educators and Professional : Journal of Informatics CCIT (Creative Communication and Innovative Technology) Journal INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Jurnal Guru Komputer Journal of Computers for Society
Erlangga, Erlangga
Universitas Pendidikan Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Library & Information Science Mathematics Other

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Model Konsultasi Pertanian Terintegrasi Menuju Komunitas Petani Pintar Di Desa Cimenyan Asep Somantri; Erlangga Erlangga; Rita Rijayanti; Miftahul Fadli Muttaqin
INFORMATICS FOR EDUCATORS AND PROFESSIONAL : Journal of Informatics Vol 7 No 2 (2023): INFORMATICS FOR EDUCATORS AND PROFESSIONAL : JOURNAL OF INFORMATICS (Juni 2023)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51211/itbi.v8i1.2246

Abstract

Penelitian ini membahas tentang pembuatan model konsultasi pertanian terintegrasi untuk menciptakan komunitas petani pintar di Desa Cimenyan. Tujuan dari penelitian ini adalah untuk meningkatkan pengetahuan dan keterampilan petani dalam bidang pertanian melalui pemanfaatan teknologi informasi dan komunikasi. Model konsultasi pertanian terintegrasi yang dikembangkan melibatkan beberapa pihak, yaitu petani, peneliti, dan pakar pertanian. Model ini dilengkapi secara konsep, arsitektur, dan teknis yang mengusulkan aplikasi yang memungkinkan petani untuk mengakses informasi terbaru tentang teknik pertanian, harga pasar, dan strategi pemasaran. Dalam penelitian ini, digunakan metode pengumpulan data melalui wawancara dan survei untuk mengetahui persepsi dan kebutuhan petani terkait dengan penggunaan teknologi dalam pertanian. Hasil penelitian menunjukkan bahwa model konsultasi pertanian terintegrasi digambarkan untuk dapat meningkatkan pengetahuan dan keterampilan petani dalam bidang pertanian serta dapat memperbaiki hasil panen. Diharapkan model konsultasi pertanian terintegrasi ini dapat mempercepat perubahan budaya petani dari pola lama menjadi petani pintar yang mandiri dan produktif. Hal ini dapat membantu meningkatkan taraf hidup petani dan mendorong pertumbuhan ekonomi di daerah pedesaan.
Designing UI/UX for Web-Based Evaluation in Artificial Intelligence E-Learning to Determine Learning Motivation with Design Thinking Approach Muhammad Zahid Tsaqif; Erna Piantari; Erlangga Erlangga
Jurnal Guru Komputer Vol 4, No 1 (2023): JGrKom: July 2023
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jgrkom.v4i1.64138

Abstract

E-Learning is a solution to increase knowledge and skills. One of them is learning Artificial Intelligence (AI). Based on this, AI can be learned through web-based e-learning, one of which is on the eCraft2Learn web. The eCraft2Learn website is an e-learning about AI that applies block-based programming to its learning. However, the evaluation feature has not been facilitated on the web. While in the educational process, learning evaluation is a factor that needs to be considered to determine the extent to which students master learning and diagnose student learning difficulties. Based on field studies conducted to students at SMK Negeri 4 Bandung, pain points were obtained from their experience in using online-based learning evaluations. Thus, it is necessary to design a User Interface and User Experience (UI/UX) learning evaluation on eCraft2Learn to overcome these pain points using the Design Thinking method. This design is carried out through five stages, namely Empathize, Define, Ideate, Prototype, and Test. With this design, a UI/UX design is produced that can increase students' intrinsic motivation when doing evaluations. Intrinsic motivation is significantly related to the completion of a task. Therefore, the measurement results from user experience through the User Experience Questionnaire (UEQ) are above average, and the UI/UX design that has been designed has a positive effect on the interest or pleasure subscale and the perceived choice subscale.
Augmented Reality in STEM Using Personalized Learning to Promote Student’s Understanding Mukhlis, Rizki; Erlangga, Erlangga; Wihardi, Yaya; Raflesia, Sarifah Putri
Computer Engineering and Applications Journal Vol 13 No 2 (2024)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v13i2.473

Abstract

The current curriculum highlights the premise of self-directed learning performed by students. Additionally, technological uses in educational settings prove to be a challenging task in a sense of implementing them in learning media and materials used in the classroom. This study aims at investigating the utilization of augmented reality (AR) in STEM (Science, Mathematics, Engineering, and Technology) using personalized learning. This study employed pre-experimental research design, specifically adopting One-Group Pretest-Posttest Design. The findings highlight that students’ pretest scores on average reached 51,6 and significantly improved to 82,67 in their posttest, whereas students’ gain score reached 0,64 which is considered as moderate. Their perspectives towards the use of augmented reality with personalized learning were significantly positive with the percentage of 82,1%. It is evident that the use of augmented reality with personalized learning is a viable option when it comes to affecting the learning outcomes.
Exemplar Based Convolutional Neural Network for Face Search on CCTV Video Recording Winda Mauli Kristy; Yaya Wihardi; Erlangga Erlangga
Journal of Computers for Society Vol 4, No 2 (2023): JCS: September 2023
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jcs.v4i2.71185

Abstract

Many techniques can perform effective face searches, but generally, these methods require numerous samples, particularly when using deep learning approaches. However, there are scenarios where face searches must be conducted with limited samples, such as those obtained from CCTV video recordings, making prior training infeasible. In these situations, a method based on exemplars must be implemented. This investigation utilizes a convolutional neural network (CNN) approach coupled with two unique matching techniques: cross-correlation matching (CCM) and normalized cross-correlation matching (NCC). The study makes use of the Chokepoint Face Dataset, training the data through the optimization of triplet loss. The goal of the study is to evaluate the performance of these combined methods. Two different architectures are created and tested within each method to determine the accuracy of each architecture. The CNN-NCC method has been found to yield accuracy rates that surpass those of the CNN-CCM method by 2 to 17.9%. Nevertheless, it is important to note that the accuracy of the results is greatly influenced by the variations observed in the CCTV video recordings.
Co-Authors Dela Adelia Enjun Junaeti Erna Piantari Herbert Siregar Miftahul Fadli Muttaqin Muhammad Zahid Tsaqif Mukhlis, Rizki Rijayanti, Rita Sarifah Putri Raflesia, Sarifah Putri Sidiq Nugraha Somantri, Asep Wahyudin Sanusi Wahyudin Wahyudin Wawan Setiawan Wihardi, Yaya Winda Mauli Kristy