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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JELLT (Journal of English Language and Language Teaching) IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal SOLMA Jurnal TAM (Technology Acceptance Model) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi EQIEN - JURNAL EKONOMI DAN BISNIS Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Indonesian Journal of Applied Informatics Jurnal Ilmiah Sinus JSAI (Journal Scientific and Applied Informatics) Jurnal Pengabdian Kepada Masyarakat (Mediteg) Buletin Ilmiah Sarjana Teknik Elektro JIKA (Jurnal Informatika) Joong-Ki : Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT Jurnal Pengabdian Pada Masyarakat METHABDI Majalah Ilmiah METHODA Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Mengabdi: Jurnal Hasil Kegiatan Bersama Masyarakat Joong-Ki Jurnal Sistem Informasi, Manajemen dan Teknologi Informasi Nusantara Mengabdi kepada Negeri Jurnal Multidisiplin Pengabdian Masyarakat (JMPM) Joong-Ki Jurnal TAM (Technology Acceptance Model)
Arif Setia Sandi A.
Universitas Harapan Bangsa
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Analisis Pengalaman Pengguna terhadap Platform Konferensi Video untuk Mendukung Perkuliahan: Studi Evaluasi Menggunakan UEQ+ Setia Sandi Ariyanto, Arif; Triwibowo, Deny Nugroho; Trivilia, Indah
Jurnal Sistem Informasi, Manajemen dan Teknologi Informasi Vol. 3 No. 2 (2025): Juli
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/jsimtek.v3i2.943

Abstract

Penelitian ini bertujuan untuk menganalisis pengalaman pengguna (User Experience/UX) terhadap platform konferensi video (Google Meet, Zoom Meeting, dan Microsoft Teams) dalam mendukung aktivitas perkuliahan. Studi evaluasi ini menggunakan metode User Experience Questionnaire Plus (UEQ+) yang mencakup enam dimensi utama, yaitu: Attractiveness, Efficiency, Intuitive Use, Visual Aesthetic, Quality of Content, dan Trust. Data dikumpulkan dari 80 partisipan yang merupakan mahasiswa pengguna berbagai platform konferensi video yang umum digunakan dalam konteks perkuliahan. Hasil penelitian menunjukkan respons positif terhadap ketiga aplikasi tersebut, yang ditunjukkan oleh nilai rata-rata keseluruhan pada setiap skala yang melebihi 0,8. Selain itu, variasi data pada seluruh skala juga tercatat berada pada tingkat yang sangat baik dan dapat diterima. Hasil pengukuran menunjukkan reliabilitas yang tinggi di semua skala. Aplikasi Zoom Meeting dinilai lebih unggul dibandingkan Google Meet dan Microsoft Teams dalam seluruh kriteria, kecuali pada dimensi Trust yang didominasi oleh Google Meet.
EVALUASI PENGGUNAAN QRIS MENGGUNAKAN MODEL UTAUT PADA ERA PERKEMBANGAN FINTECH Ariyanto, Arif Setia Sandi; Yuttama, Faizal Rizky; Slamet, Slamet
Majalah Ilmiah METHODA Vol. 13 No. 3 (2023): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol13No3.pp253-260

Abstract

Technological developments in the financial sector are growing very quickly, with the emergence of QRIS technology making non-cash transaction processes even easier. This platform can be used for almost all financial services. The author carried out this test to identify the influence between performance expectancy, social influence and facilitating conditions on behavioral intention to use QRIS in MSMEs in Banyumas Regency through Rumah BUMN Purwokerto using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This test uses a data source totaling 99 respondents. Instrument validity and reliability tests were carried out using WarpPLS 8.0 software. The test results concluded that performance expectancy and facilitating conditions influenced the behavioral intention to use QRIS, while social influence did not influence the behavioral intention to use QRIS among MSMEs in Banyumas Regency.
Optimalisasi Pembelajaran Siswa dengan Pemanfaatan Teknologi AI: Solusi Inovatif Pendidikan Modern Ashari, Imam Ahmad Ashari; Mangkunegara, Iis Setiawan; Sandi, Arif Setia; riwibowo, Deny Nugroho; Arkananta, Edgina Rangga
Jurnal Pengabdian Kepada Masyarakat (MEDITEG) Vol. 10 No. 1 (2025): Jurnal Pengabdian Kepada Masyarakat (MEDITEG)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat (P3M) Politeknik Negeri Tanah Laut (Politala)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/mediteg.v10i1.301

Abstract

Teknologi AI memiliki potensi besar untuk meningkatkan efektivitas dan efisiensi pembelajaran. Namun, pemahaman siswa terhadap teknologi ini masih terbatas. Untuk menjawab tantangan tersebut, Fakultas Sains dan Teknologi Universitas Harapan Bangsa menyelenggarakan kegiatan pengabdian kepada masyarakat berupa pelatihan AI di SMK N 1 Purwokerto bagi siswa kelas 11. Pelatihan ini mencakup pengenalan algoritma AI, cara kerja AI dalam menjawab pertanyaan, jenis-jenis AI, produk yang dihasilkan, serta cara memanfaatkan teknologi AI untuk pembelajaran. Hasil analisis menunjukkan adanya peningkatan signifikan dalam persepsi dan pengalaman siswa setelah mengikuti pelatihan. Data post-test mencatat peningkatan respon "sangat setuju" pada aspek kemudahan penggunaan teknologi AI, efektivitas ChatGPT dalam memahami konsep sulit, dan fleksibilitas PPTGenerate. Selain itu, lebih dari 60% peserta memberikan tanggapan positif terhadap kualitas visual dan penyesuaian materi presentasi yang dihasilkan. Program ini terbukti efektif dalam meningkatkan pemahaman, keterampilan, dan kepercayaan diri siswa dalam memanfaatkan teknologi AI untuk mendukung proses belajar, mempersiapkan mereka menghadapi tantangan di era digital.
Perancangan Smart Stick untuk Mobilitas Penyandang Tunanetra Berbasis Mikrokontroler Prayoga, Estu; Sandi A, Arif Setia; Nisa, Khoirun
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp210-219

Abstract

The development of assistive technology for visually impaired individuals is essential to enhance their mobility and safety. This research successfully designed and developed a Smart Stick based on a microcontroller, equipped with ultrasonic and water level sensors to detect obstacles and water puddles in real-time. The system provides immediate warnings through a speaker, allowing users to navigate their environment more effectively. The testing phase demonstrated that the ultrasonic sensor accurately detects obstacles within a range of 50–150 cm, while the water level sensor activates an alarm when the water reaches 40 mm. The results indicate that the Smart Stick is reliable in detecting obstacles and providing early warnings, improving the independence and security of visually impaired users. Future improvements may include IoT integration, Bluetooth headset compatibility, and enhanced sensor accuracy to optimize its functionality.
PELATIHAN PENGGUNAAN APLIKASI SPSS UNTUK MENUNJANG TUGAS AKHIR MAHASISWA Setia Sandi A, Arif; Nugroho Triwibowo, Deny; Bagus Bambang Sumantri, Raden; Cipta Sigitta Haryono, Rito
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 3 No 2 (2023): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol3No2.pp195-199

Abstract

The training activity on the usage of the Statistical Analysis SPSS Application (Statistical Package for the Social Sciences) was conducted to enhance students' skills in analyzing data to support the completion of their final assignments. This article elucidates the methods and benefits of this training, tailored to suit the students' material needs, aiding them in finalizing their assignments. These sessions were conducted through a series of workshops accommodating students from diverse scientific backgrounds. The outcomes of these activities provided insights into the competency and proficiency regarding SPSS application use in enhancing students' statistical analysis skills. The implications of these activities could serve as a guide for higher education institutions in designing training programs that support the development of student’s academic skills in data analysis, thereby bolstering their final assignment requirements. The results of these activities demonstrate a significant improvement in students' understanding of statistical concepts, SPSS utilization, and the necessary data analysis skills required for final assignment research.
Optimalisasi Canva dan Akun Belajar.id dalam Pembuatan Bahan Ajar Kreatif Untuk Guru Ariyanto, Arif Setia Sandi; Mangku Negara, Iis Setiawan; Feriyanto, Yanuar
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 4 No 2 (2024): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol4No2.pp182-187

Abstract

A training program on the use of Canva, utilizing Belajar.id accounts, has been conducted to enhance the skills of vocational school teachers in creating creative teaching materials. This article describes the training methods and the benefits teachers gain from leveraging Canva to produce engaging and interactive educational content. The training was designed practically to accommodate the needs of teachers from various disciplines and tailored to the context of vocational education. This activity showed a significant improvement in teachers' ability to use design-based technology to enrich the learning process. The implications of this program can serve as a guide for educational institutions in designing effective training programs, supporting digital transformation in education, and strengthening teachers' competencies in creating innovative and relevant learning experiences for students.
Lightweight YOLO Models for Real-Time Multi-Vehicle Detection Ashari, Imam; Negara, Iis Setiawan Mangku; A, Arif Setia Sandi
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 3 (2025): Article Research July 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i3.15071

Abstract

This study presents a comparative evaluation of three lightweight YOLO architectures: YOLOv5n, YOLOv8n, and YOLOv11n, for multi-class vehicle detection using CCTV imagery captured under dense traffic conditions in Semarang, Indonesia. The models were tested on their ability to detect four types of vehicles, including motorcycle, car, bus, and truck. To enhance generalization across different lighting conditions, image qualities, and environmental noise, six data augmentation techniques were applied during training. These included Blur, Brightness Adjustment, Color Jitter, Noise Injection, Scaling, and Zoom In. Among these, the Blur technique yielded the most significant improvement in detection accuracy. YOLOv8n with Blur augmentation achieved the best performance with a precision of 0.875, recall of 0.655, mAP@0.5 of 0.756, and mAP@0.5:0.95 of 0.467. Class-wise analysis showed that buses and trucks were easier to detect due to their larger size and distinct features, while motorcycles were the most difficult due to their smaller dimensions and visual similarity to other objects. Training curves demonstrated consistent decreases in loss values and progressive improvements in evaluation metrics across 60 epochs. These findings emphasize the importance of selecting appropriate model architecture and augmentation strategies to improve object detection performance, particularly in real-time and resource-limited applications. YOLOv8n with Blur augmentation proved to be the most effective configuration in this study.
ANALISIS USER EXPERIENCE PADA APLIKASI VOTING BERBASIS FLUTTER_: STUDI EVALUASI MENGGUNAKAN UEQ+ Sandi A, Arif Setia
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No1.pp72-78

Abstract

This study aims to analyze user experience (UX) on the Muhammadiyah Paguyangan Voting Application Based on Flutter (EVoMu) to support electronic voting in selecting new leadership in the Muhammadiyah Paguyangan organization. This evaluative study employs the User Experience Questionnaire Plus (UEQ+) method, covering four main dimensions: Efficiency, Intuitive Use, Visual Aesthetic, and Trust. The author gathered data from 120 users who participated as voters in this election process. The research yielded a positive response to the EVoMu application, as evidenced by the overall scale average score exceeding 0.8. Additionally, data diversity across all scales was noted to be at a very good and acceptable level. Measurement results indicate high reliability across all scales. Trust level in the application emerges as the most influential factor in its implementation, with a mean importance rating of 2.68.
Sistem Informasi Penjualan dan Pemesanan Online Berbasis Web pada Apotek Dua Farma Nurrizki, Kiki Alfaini; Sumantri, Raden Bagus Bambang; Sandi A , Arif Setia
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp164-173

Abstract

Indonesian society increasingly relies on information technology in various aspects of life, including business and healthcare services. Pharmacies, as vital entities in healthcare, require information systems to manage data effectively. However, the Indonesian Ministry of Health states that more than 80% of healthcare facilities in Indonesia have not yet adopted digital technology, including Apotek Dua Farma, which manages 700 types of medicines and 100 manual transactions daily. This research aims to develop an online-sales and ordering information system based on a website using the Laravel framework at Apotek Dua Farma to address the difficulties in recording products and sales processes. The method used is Rapid Application Development (RAD), a fast and iterative linear sequential software development model. The research results indicate that the web-based information system developed has four types of users: admin, owner, pharmacist, and customer. This system successfully implements features such as product management, cashier system, online order processing, transaction tracking, reporting, and successfully applies the QRIS payment method. Blackbox testing shows that all features function well and meet the operational needs of Apotek Dua Farma, thereby improving the efficiency and accuracy of product recording and sales.
Klasifikasi Berisiko Stunting pada Balita: Perbandingan K-Nearest Neighbor, Naïve Bayes, Support Vector Machine Ramadya Wahyu Dwinanto; Arif Setia Sandi A; Rian Ardianto
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp264-273

Abstract

Stunting in children under five is a significant health problem that impacts child development. This study aims to develop a classification model to predict stunting risk using SVM, KNN, and Naïve Bayes algorithms. Data from the Jatilawang Health Center included 523 under-fives with variables such as age, weight, length, arm circumference, z-score, parental education, and maternal health history. Following the CRISP-DM steps, the data was processed through handling missing data, feature selection, and dividing the data into training and testing sets with a ratio of 80:20. Results showed SVM had the highest accuracy of 90%, followed by KNN 89%, and Naïve Bayes 85%. This research produces a stunting risk prediction model that is implemented in a simple website, supporting early intervention and decision-making in stunting prevention efforts.
Co-Authors Anggit Wirasto Apriliyanto, Erwin Arkananta, Edgina Rangga Arrofie Darmawan Ashari, Imam Ashari, Imam Ahmad Ashari Asro Nasiri Asro Nasiri Aulia Zilmi Kafah, Aulia Zilmi Kafah Bagus Bambang Sumantri, Raden Bambang Soedijono Bambang Soedijono Bambang Sumantri, R Bagus Cipta Sigitta Haryono, Rito Deny Nugroho Triwibowo Deny Nugroho Triwibowo Diannike Putri, Diannike Putri Dung, Le Hoang E. Ida Hidayanti Edgina Rangga Arkananta, Edgina Rangga Arkananta Esa Aditya Kurniawan, Esa Aditya Kurniawan Faizal Rizky Yuttama Fenika Bunga Prawida Suwanto Feriyanto, Yanuar Grace Maria Fitricia Panggabean Husna, Aqmal Miftahul Iis Setiawan Mangku Negara Iis Setiawan Mangkunegara Imam Ahmad Ashari, Imam Ahmad Indriyanto, Jatmiko Irfan Arfianto Jayusman, Hadi Khairil Anwar KHOIRUN NISA Khoirun Nisa Kristanto, Barlian Mangku Negara, Iis Setiawan Mangku Negara, Iis Setiawan Mangkunegara, Iis Setiawan Muryanto, Muhammad Negara, Iis Setiawan Mangku Nugroho Triwibowo, Deny Nugroho, Agus Susilo Nur Arifin, Nur Arifin Nurrizki, Kiki Alfaini Pradestya Bima Arweina Prayoga, Estu Purwono Purwono, Purwono Purwono, Purwono Putri, Diannike Ramadya Wahyu Dwinanto Retno Agus Setiawan Rian Ardianto Ririn Damayanti Ririn Uke Saraswati riwibowo, Deny Nugroho Sandy Ferianda, Sandy Sarmin Sarmin Siti Shinta Yulistiyani, Siti Shinta Yulistiyani Slamet Slamet . Slamet Slamet Slamet Slamet Soedjatmoko Soedjatmoko Sony Sonjaya Sri Winda Hardiyanti Damanik susilo nugroho, agus Trivilia, Indah Triwibowo, Deny Nugroho Widadi, Budi Winda Neri Sari Yanuar Feriyanto Yayu Sri Rahayu, Yayu Sri Yusuf Fadlila Rahman