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All Journal International Journal of Electrical and Computer Engineering Jurnal Sosial Ekonomi Pertanian Bulletin of Electrical Engineering and Informatics JSI: Jurnal Sistem Informasi (E-Journal) Telematika Al Ishlah Jurnal Pendidikan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Informatika IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Teknik Komputer AMIK BSI Paradigma Jurnal Komputasi Kinerja: Jurnal Ekonomi dan Manajemen JKTP: Jurnal Kajian Teknologi Pendidikan Jurnal SOLMA JURNAL SINEKTIK LIABILITIES (JURNAL PENDIDIKAN AKUNTANSI) Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL PENDIDIKAN TAMBUSAI Jurnal Nasional Komputasi dan Teknologi Informasi JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Mantik Jurnal Infortech Reswara: Jurnal Pengabdian Kepada Masyarakat Journal of Computer Science and Engineering (JCSE) Jurnal Graha Pengabdian Jurnal Teknologi Informatika dan Komputer Jurnal Sistem Informasi Abditeknika - Jurnal Pengabdian Kepada Masyarakat Jurnal Abdimas Ekonomi dan Bisnis Reputasi: Jurnal Rekayasa Perangkat Lunak IMTechno: Journal of Industrial Management and Technology Conten : Computer and Network Technology Journal of Electrical Vocational Teacher Education Jurnal Neuroanestesi Indonesia PELS (Procedia of Engineering and Life Science) Jurnal Media dan Teknologi Pendidikan Jurnal Ilmu Ekonomi Mulawarman (JIEM) JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) Info Abdi Cendekia Journal of Artificial Intelligence and Digital Business SATIN - Sains dan Teknologi Informasi Jurnal Komputer Antartika Bulletin of Informatics and Data Science Informatics and Software Engineering (ISE) INOVASI: Jurnal Ekonomi, Keuangan, dan Manajemen Vocational: Journal of Educational Technology Journal Of Biology Education Research (JBER) Smatika Jurnal : STIKI Informatika Jurnal Jurnal Informatika Jurnal Komputasi Jurnal Elektronika dan Telekomunikasi
Agus Junaidi
Universitas Bina Sarana Informatika
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Augmented reality learning media for electrical motor: case study in electrical engineering education Mustaqim, Bima; Sibuea, Abdul Muin; Siagian, Sahat; Junaidi, Agus; Amin, Muhammad; Sriadhi, Sriadhi; Yahaya, Wan Ahmad Jaafar Wan; Sitompul, Harun
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i3.pp2545-2555

Abstract

The impact of augmented reality (AR) learning tools and students' critical thinking abilities on learning outcomes in electrical engineering education is the focus of this study. The study explores the ways in which these factors, both independently and in combination, influence student performance. Findings reveal that AR-based learning materials significantly enhance understanding and retention across self-directed and guided learning models. Critical thinking skills emerge as a key determinant of success, with students exhibiting strong critical thinking consistently outperforming peers with lower-level skills, regardless of the instructional model. The study also highlights variations in AR tools' effectiveness depending on the learning model and students’ critical thinking abilities. Guided learning with AR tools benefits all students, while self-directed AR tools prove most effective for those with advanced critical thinking skills. Students with lower critical thinking abilities face challenges in navigating less structured AR environments. These results underscore the importance of fostering critical thinking and adopting tailored strategies when integrating AR technology into engineering education. By considering both the learning model and critical thinking levels, educators can optimize AR’s potential to enhance student learning outcomes in technical fields.
Enhancing Learning Outcomes in Basic Electricity and Electronics: The Power of Simulation Media in Problem-Based Learning Mustaqim, Bima; Opetu, Demitila Okola; Sibuea, Abdul Muin; Siagian, Sahat; Junaidi, Agus
Vocational: Journal of Educational Technology Vol. 2 No. 1 (2025)
Publisher : Yayasan Pendidikan Dan Pengembangan Harapan Ananda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58740/vocational.v2i1.365

Abstract

This study investigates the impact of simulation media in problem-based learning on student learning outcomes in Basic Electricity and Electronics. The research problem addresses the low student engagement and learning performance due to conventional teaching methods. The purpose of this study is to compare the effectiveness of Livewire and Proteus simulation media in enhancing students' understanding of direct current circuit analysis. This research employs a quasi-experimental method with a Two-Group Pretest-Posttest Design. The study sample consists of 64 tenth-grade students from the Electrical Power Installation Engineering program at SMK Negeri 1 Percut Sei Tuan, divided into two groups: one using Livewire simulation and the other using Proteus simulation in problem-based learning. Data was collected through pretests and posttests, analyzed using t-tests to determine differences in learning improvement. The results reveal that students using Livewire simulation media achieved significantly higher post-test scores (average 80.3) compared to those using Proteus simulation media (average 63.7). These findings suggest that Livewire is more effective in facilitating conceptual understanding and problem-solving skills. The implications highlight the need for integrating technology-based learning tools to enhance vocational education outcomes. Schools and educators should consider incorporating simulation-based learning strategies to improve student engagement and academic performance.
Perancangan Sistem Informasi Persediaan Barang Berbasis Web Pada PT Chucu Teknologi Indonesia Halawa, Ratakan Berkat; Junaidi, Agus
Jurnal Komputer Antartika Vol. 3 No. 3 (2025): September
Publisher : Antartika Media Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70052/jka.v3i3.997

Abstract

Penelitian ini bertujuan untuk merancang dan membangun Sistem Informasi Persediaan Barang Berbasis Web Pada PT Chuchu Teknologi Indonesia yang bergerak di bidang penjualan produk kebutuhan rumah tangga dan aksesoris kosmetik. Permasalahan yang dihadapi perusahaan adalah proses pencatatan barang yang masih dilakukan secara manual, sehingga berpotensi menimbulkan kesalahan pencatatan, duplikasi data, dan sulitnya memantau stok barang secara real-time. Metode pengembangan sistem yang digunakan adalah metode Prototype, dengan tahapan komunikasi, perencanaan cepat, perancangan desain awal, pembangunan prototipe, dan pengujian. Sistem ini dibangun menggunakan bahasa pemrograman PHP Native, database MySQL, serta framework Bootstrap sebagai pendukung antarmuka agar tampilan web lebih responsif. Hasil dari penelitian ini adalah sebuah aplikasi web yang memiliki fitur pengelolaan data barang, transaksi barang masuk, transaksi barang keluar, hingga pembuatan laporan stok barang. Berdasarkan hasil pengujian dengan metode Black Box Testing, seluruh fungsi sistem dapat berjalan sesuai kebutuhan pengguna. Dengan adanya sistem ini diharapkan dapat mempermudah admin gudang dalam mengelola data barang, meminimalkan kesalahan pencatatan, mempercepat proses pembuatan laporan, serta mendukung pengambilan keputusan manajerial secara lebih akurat.   This research aims to design and develop a Web-Based Inventory Information System At PT Chuchu Teknologi Indonesia, a company engaged in selling household necessities and cosmetic accessories through online platforms. The main problem faced by the company is that inventory data management is still done manually, which often leads to data entry errors, duplicate records, and difficulties in monitoring stock levels in real-time. The system was developed using the Prototype Model, which consists of the stages of communication, quick planning, initial design modeling, prototype construction, and testing. The application was built using PHP Native as the programming language, MySQL as the database, and Bootstrap framework to create a responsive and user-friendly web interface. The result of this research is a web application that includes features for managing master data of goods, recording incoming and outgoing goods, and generating stock reports. Based on the testing using the Black Box Testing method, all system functions run properly according to user requirements. It is expected that this system will help warehouse administrators manage inventory data more easily, reduce recording errors, speed up report generation, and support managerial decision-making with more accurate data.    
Comparative Optimization of EfficientNetB3, MobileNetV2, and ResNet50 for Waste Classification Agustiani, Sarifah; Haryani, Haryani; Junaidi, Agus; Putri, Rizky Rachma; Emiliana, Meutia Raissa
Jurnal Informatika Vol 12, No 2 (2025): October
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v12i2.27533

Abstract

Waste management has become a critical challenge in efforts to maintain environmental sustainability and public health. Poorly managed waste can cause environmental pollution, reduce quality of life, and complicate recycling processes. To address this issue, this study aims to classify waste based on images while optimizing several deep learning architectures, namely EfficientNetB3, MobileNetV2, and ResNet50, to identify the best model for waste classification. The research methodology includes data collection, preprocessing, data augmentation, model development, and performance evaluation using accuracy, precision, recall, and F1-score metrics. The dataset, obtained from the Kaggle platform, consists of 4,650 images divided into six categories: battery, glass, metal, organic, paper, and plastic. The results show that EfficientNetB3 with the Adam optimizer achieved the best performance, with accuracy, precision, recall, and F1-score all at 93%, followed by ResNet50 at approximately 91%, and MobileNetV2 ranging from 70–73% depending on the optimizer. The use of different optimizers was found to influence model performance, and data augmentation helped improve generalization, especially for classes with limited samples. Limitations of this study include the relatively limited dataset coverage. Future research is recommended to expand the dataset and explore alternative or hybrid architectures. These findings demonstrate the potential of deep learning–based systems in supporting sustainable waste management.
The Effectiveness of Web-Based PACTA for Electrical Motor Installation in Vocational High School Mustaqim, Bima; Siagian, Sahat; Junaidi, Agus; Keristiana Sinaga, Enny; Tanjung, Samsidar; Mursid, R
Jurnal Media dan Teknologi Pendidikan Vol. 5 No. 1 (2025): January
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jmt.v5i1.93750

Abstract

Vocational education in Indonesia faces challenges in providing interactive learning that aligns with the demands of Industry 4.0. In addition, students’ low engagement in understanding technical concepts remains a major obstacle to achieving meaningful learning outcomes. This study aims to evaluate the effectiveness of a web-based learning system using the PACTA model in improving student learning outcomes. The research employed a quasi-experimental method with a pre-test and post-test design across two groups: one group used the PACTA system integrated with Augmented Reality (AR) and an AI-based chatbot, while the other group used a conventional web-based learning platform. Results showed that the PACTA group experienced an increase in average score from 45.22 to 63.91 (t = 3.508; p = 0.002) with an effect size of 18.69%, while the conventional group improved from 38.04 to 44.79 (t = 2.273; p = 0.031) with an effect size of 6.75%. Student perception data showed high satisfaction, with effectiveness at 90.67%, ease of use at 88.2%, and accessibility at 85.0%. The findings conclude that the PACTA-based learning system effectively enhances student engagement and understanding and is recommended for broader application in vocational education.  
Korelasi Skor Glasgow Coma Scale (GCS) pada Cedera Otak Traumatik Berat dengan Kejadian dan Derajat Acute Respiratory Distress Syndrome (ARDS) Junaidi, Agus; Suwarman, S; Bisri, Tatang
Jurnal Neuroanestesi Indonesia Vol 5, No 2 (2016)
Publisher : https://snacc.org/wp-content/uploads/2019/fall/Intl-news3.html

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2108.356 KB) | DOI: 10.24244/jni.vol5i2.65

Abstract

Acute respiratory distress syndrome (ARDS) merupakan salah satu komplikasi dari cedera otak traumatik (COT) berat, dapat disebabkan karena neurogenic pulmonary edema (NPE), pneumonia, aspirasi, dan emboli paru. Penelitian ini untuk mengetahui korelasi skor GCS pada cedera otak traumatik berat dengan kejadian dan derajat ARDS. Penelitian observasional prospektif cross sectional pada 32 orang pasien COT derajat berat di rumah sakit Dr. Hasan Sadikin Bandung sejak Mei 2015 sampai September 2015. Pengambilan data dilakukan secara consecutive sampling. Parameter yang dicatat dalam penelitian ini antara lain usia, jenis kelamin, berat badan, GCS, rentang waktu, diagnosis, kejadian ARDS, dan derajat ARDS. Analisis korelasi linear dua variabel dihitung berdasarkan analisis korelasi Spearman dan korelasi ETA. Hasil penelitian menunjukkan adanya korelasi antara skor GCS pada COT berat dengan kejadian ARDS dengan kekuatan korelasi searah, moderat, (r=0,402), bermakna (p0.05) dan derajat beratnya ARDS dengan kekuatan korelasi searah, kecil (r=0,389), bermakna (p0,05). Simpulan dari penelitian ini adalah semakin rendah skor GCS pada COT berat maka akan semakin besar kejadian ARDS dan semakin berat derajat ARDS.Correlation Glasgow Coma Scale (GCS) Score on Severe Head Injury with the Insidence and Degree of Acute Respiratory Distress Syndrome (ARDS)Acute respiratory distress syndrome (ARDS) is one of the complications of severe traumatic brain injury (TBI), it can be caused by neurogenic pulmonary edema (NPE), pneumonia, aspiration, and pulmonary embolism. This study was determine the correlation glasgow coma scale score on severe head injury with insidence and degree of acute respiratory distress syndrome. This study was using prospective observational cross-sectional method in 32 patients with severe TBI at Dr. Hasan Sadikin General Hospital Bandung on May 2015 untill September 2015. Data collection was performed by consecutive sampling. Parameters were recorded in this study include age, gender, weight, GCS, time scales, diagnosis, incidence and degrees of ARDS. Linear correlation analysis was calculated based on two variables Spearman correlation analysis and correlation ETA. The results showed a correlation between GCS score on severe COT with the incidence of ARDS with the strength of the correlation moderate (r=0.402), significantly (p0.05), one direction and degrees of ARDS with the strength of the correlation small (r=0.389), significantly (p0.05), one direction. The conclusions of this study is the lower the GCS score on severe COT will lead to greater the incidence and the degree of ARDS.
APLIKASI DIAGNOSA PENYAKIT LAMBUNG DENGAN METODE FORWARD CHAINING Kartika, Dewi; Junaidi, Agus
Jurnal Teknologi Informatika dan Komputer Vol. 4 No. 2 (2018): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v4i2.266

Abstract

Pentingnya pemeliharaan kesehatan khususnya pada alat pencernaan selama ini masih kurang diperhatikan oleh masyarakat pada umumnya, ditambah lagi dengan kurangnya pengetahuan masyarakat akan penyakit lambung dan penanganan penyakit lambung sejak dini menyebabkan penyakit saluran pencernaan baru diobati setelah kronis, oleh sebab itu perlu di bangun sebuah sistem pakar untuk mendiagnosa penyakit saluran pencernaan khususnya pada lambung berbasis web. Tujuannya adalah untuk membantu pakar dalam menangani pasien yang mengalami gejala penyakit lambung. Inferensi yang di gunakan yaitu metode Forward Chaining. Aplikasi sistem pakar ini akan menampilkan pilihan gejala yang dapat dipilih oleh pengguna untuk mendapatkan hasil akhir berupa jenis penyakit dan saran untuk pencegahannya.
Waste Classification using EfficientNetB3-Based Deep Learning for Supporting Sustainable Waste Management Agustiani, Sarifah; Junaidi, Agus; Aryanti, Riska; Kamil, Anton Abdul Basah
Bulletin of Informatics and Data Science Vol 4, No 1 (2025): May 2025
Publisher : PDSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61944/bids.v4i1.108

Abstract

Waste management is a critical issue in sustainable development, particularly in large urban areas that generate a high volume of waste daily. One of the main challenges is the absence of a fast, accurate, and efficient waste sorting system. This study aims to develop a waste classification model using deep learning based on the EfficientNetB3 architecture to support more sustainable waste management. The model was trained on a dataset obtained from a Kaggle repository, consisting of 4,650 images evenly distributed across six waste categories: batteries, glass, metal, organic, paper, and plastic (775 images per class). The training and evaluation were conducted using a supervised image classification approach. The model achieved an overall accuracy of 93%, with average precision, recall, and F1-score values of 93%. Among all categories, organic waste achieved the highest F1-score (0.99), followed by paper (0.97) and batteries (0.97), while plastic and metal categories obtained F1-scores of 0.89. These results demonstrate that the EfficientNetB3 architecture is effective in performing multi-class waste classification. This model has the potential to be implemented in camera-based waste sorting systems such as smart bins or automated recycling units, thereby contributing to the reduction of unprocessed waste and supporting the achievement of Sustainable Development Goal (SDG) 12: responsible consumption and production
Faktor-faktor yang mempengaruhi pendapatan pengelolaan hasil pohon aren Saputra, Agus; Junaidi, Agus
Jurnal Ilmu Ekonomi Mulawarman (JIEM) Vol. 8 No. 2 (2023): Juni
Publisher : Fakultas Ekonomi Dan Bisnis Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29264/jiem.v8i2.12032

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh Produksi (X1), biaya produksi (X2), harga jual (X3), terhadap pendapatan  pengrajin hasil pohon aren di Kelurahan Lempake Kecamtan Samarinda Utara. Data yang digunakan adalah data primer dan sekunder, Alat analisis yang digunakan adalah persamaan regresi linear berganda dengan bantuan program SPSS 20. Hasil analisis variabel produksi memiliki pengaruh yang positif dan signifikan terhadap pendapatan pengrajin, dan variabel Biaya produksi tidak memiliki pengaruh terhadap pendapatan pengrajin, sedangkan variabel harga jual memiliki pengaruh positif dan signifikan terhadap pendapatan pengrajin pohon aren di Kelurahan Lempake Kecamatan Samarinda Utara
Pengaruh investasi dan pengeluaran pemerintah serta tenaga kerja terhadap pertumbuhan ekonomi Setyaningsih, Indah; Junaidi, Agus
Jurnal Ilmu Ekonomi Mulawarman (JIEM) Vol. 8 No. 3 (2023): September
Publisher : Fakultas Ekonomi Dan Bisnis Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29264/jiem.v8i3.12042

Abstract

Penelitian ini dimaksudkan untuk menguji kembali bagaimana pengaruh investasi dan belanja pemerintah serta tenaga kerja yang tersedia terhadap pertumbuhan ekonomi di Kota Samarinda. Penelitian dilakukan dengan menggunakan metode analisis regresi linier berganda terhadap data pertumbuhan ekonomi, investasi, pengeluaran pemerintah dan tenaga kerja Kota Samarinda pada tahun 2008 sampai dengan 2019. Hasil pengujian menunjukkan bahwa investasi dan tenaga kerja secara parsial berpengaruh positif dan signifikan terhadap pertumbuhan ekonomi., sedangkan pengeluaran pemerintah berpengaruh negatif dan tidak signifikan terhadap pertumbuhan ekonomi. Pemerintah Daerah Kota Samarinda diharapkan untuk memperbaiki struktur anggaran belanjanya agar pengeluaran pemerintah tidak banyak dihabiskan untuk belanja operasional saja, melainkan diarahkan pada belanja-belanja produktif agar kedepan mampu mendorong perekonomian di Kota Samarinda. Pemerintah Daerah Kota Samarinda juga diharapkan untuk terus meningkatkan jumlah investasi yang masuk dan jumlah tenaga kerja serta produktivitasnya karena kemampuannya dalam mendorong perekonomian di Kota Samarinda.
Co-Authors AA Sudharmawan, AA Abdul Muin Sibuea Afandi, Marwan Agus Junaidi agusniati, Agusniati Agustiani, Sarifah Ahmad Yani Ahmad Yani ahmad yani Aji Miftahus Salim Ali Mustopa, Ali Alif Rahman AMRI, MOHAMAD SYAIFUL Andi Saryoko Angga Eko Pratama Anggita, Nur Anisa Anis Suryatri Ardika Nur Hafid Arif Ismail Husin AS, Usman Asyiri, Syekh Mohammad Auliabahri, Ananda Putri Ayu Wahyuni Azis, Mochammad Abdul Baharuddin Baharuddin Bakti Dwi Waluyo Candra Sumirat Cucu Ika Agustyaningrum Delani, Desta Denny Haryanto Sinaga Devi Angelina Simaremare Dewi Kartika Dewi Kartika Diah Puspitasari Dikki Miswanda DINA AMPERA Dio Caisar Darma Dodi Suryanto, Eka Donna Setiawati Efendi Napitupulu Emiliana, Meutia Raissa Fachry Abda El Rahman Fadilah, Iwan Fahmi, Jam’an Fany Visella Farah Diba Azkia Fawzim, Ahmad febryan_wiraputra febryan Firdaus Idam Fitrayuda Rivaldy Fitriadi Fitriadi Frisma Handayanna Frisma Handayanna Gustin Setyaningsih Halawa, Ratakan Berkat Halimatun, Futria Hardiyan Hardiyan Harun Sitompul Haryani Haryani Haryani Henry Januar Saputra, Henry Januar Ikha Listyarini Indra Cahyadi, Catra Indra Permana Putra intan Iwan Fadilah Jananto Watori Jesica Yolanda Br. Sibarani K, Abd Hamid K, Abdul Hamid Kamil, Anton Abdul Basah Khairahmi, Khairahmi Khairul Khairul, Khairul Khairunnisa Zakaria Lesmana, Dicky Lubis, Ali Hamzah Mansur Mariati Mariati Maruloh Meutia Raissa Emiliana Mochammad Abdul Azis Muhammad Amin Mustaqim, Bima Mustopa, Ali Ningrum, Eri Widya Nur ‘Azah Opetu, Demitila Okola Pangaribuan, Wanapri Popon Handayani Pratama, Adryansyah Anugrah Pribadi, Denny Priyagus, Priyagus Putri, Rizky Rachma R Mursid Rachmat Hidayat RACHMAT HIDAYAT Rahmaniar Rahmaniar, Rahmaniar Ramadan, Angga Riski Ramadhan, Khoiru Iqbal Ratna Tanjung Riska Aryanti Ritonga, Syah Fikri Rizki Wahyudi Rizky Rachma Putri Rudianto Rudianto Ryan Juska Pratama S.M Santi Winarsih Sahat Siagian Samsidar Tanjung Samsiyatun Samsiyatun Samudi Sandra Jamu Kuryanti Saputra, Agus Saputra, Muhammad Fadhlan Saragi, Dian Putra Sari, Debby Kaumala Setyaningsih, Indah Sinaga, Enny Keristiana Siti Khoiriyah Siti Khotimatul Wildah Siti Marlina Siti Nur Khasanah Sobari, Irwan Agus Sopiyan Dalis Sri Adelila Sari Sriadhi Sriadhi Sriadhi, Sriadhi St Wulan Aprianti Sulistiyah Suwarman, S Suwarno Suwarno SYAHPUTRA, MUHAMMAD RIZKI Syekh Mohammad Asyiri Tatang Bisri Teguh Febri Sudarma, Teguh Febri Usman AS Wahyudin Wahyudin Wahyudin Wahyudin Yahaya, Wan Ahmad Jaafar Wan Yosefa Hutajulu, Olnes Yoseph Tajul Arifin Yunita yunita yunita Zakaria, Khairunnisa Zubir, Moondra