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STRATEGI PEMASARAN MELALUI RE-DESIGN KEMASAN SEBAGAI UPAYA PENGEMBANGAN USAHA DAN DAYA SAING UKM BAKPIA ISTU PASCA COVID-19 Agung Utama; Anita Mustikasari; Anis Okta Cahyaningrum; Arya Sony
Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Vol 3 (2022): PROSIDING SEMINAR NASIONAL PENGABDIAN KEPADA MASYARAKAT - SNPPM2022
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Negeri Jakarta

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Abstract

Abstract Bakpia Istu SMEs is a business that produces bakpia in Yogyakarta. Bakpia Istu has a sales motto which is to always provide fresh bakpia to consumers, therefore bakpia production is still carried out every day despite the Covid-19 pandemic. Currently, the marketing process has started to use social media such as Instagram in addition to its offline store and is also a member of Go-food merchants, but it is still not optimal, especially in terms of product branding. Bakpia Istu is still far from attracting consumers. The role of packaging in the eyes of consumers will be able to increase or decrease sales of a product, because actually an attractive packaging appearance will give a distinct impression to consumers in determining their decision to buy or not to buy a product. Therefore, this service activity provides good knowledge and design for bakpia packaging using the Quality Function Deployment (QFD) technique. The benefit of this program is the realization of attractive and eye-catching packaging designs for Bakpia Istu SMEs. Abstrak UMKM Bakpia Istu merupakan usaha yang memproduksi bakpia yang berada di Yogyakarta. Hingga saat ini Bakpia Istu mempunyai motto penjualan yaitu selalu menyediakan bakpia yang selalu fresh kepada konsumen, oleh karenanya produksi bakpia tetap dilakukan setiap harinya meskipun dalam keadaan pandemic covid-19. Saat ini proses pemasarannya sudah mulai menggunakan sosial media seperti instagram selain toko offlinenya dan juga tergabung dalam merchant di Go-food namun masih kurang optimal terlebih dalam hal branding produk. Bakpia Istu terbilang masih jauh dari kata menarik konsumen. Peran kemasan dimata konsumen akan dapat meningkatkan atau menurunkan penjualan sebuah produk, karena sesungguhnya tampilan kemasan yang menarik akan memberi kesan tersendiri bagi para konsumen dalam menentukan keputusannya untuk membeli atau tidak membeli suatu produk. Oleh karenanya, kegiatan pengabdian ini memberikan pengetahuan dan desain yang baik untuk kemasan bakpia menggunakan teknik Quality Function Deployment (QFD). Manfaat dari program ini adalah terwujudnya desain kemasan yang menarik dan eyecatching bagi UMKM Bakpia Istu.
Analisis Kasus Pencurian Listrik Menggunakan Proses Stochastic Pada Lingkungan Terpasang Smart Metering Arya Sony
Elinvo (Electronics, Informatics, and Vocational Education) Vol 4, No 2 (2019): November 2019
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (272.746 KB) | DOI: 10.21831/elinvo.v4i2.28309

Abstract

Menggunakan metode deteksi yang presisi pada kasus pencurian listrik merupakan pekerjaan yang mustahil dilakukan. Hal ini disebabkan karena adanya satu variabel yang bernilai ekonomi tinggi yang diperlukan agar perhitungan mungkin untuk dilakukan, yaitu variabel jarak penghantar. Dengan memasukkan proses stokastik ke dalam persamaan deteksi pencurian listrik akan banyak mengurangi pekerjaan PLN dalam mengimplementasikan Sistem Smart Metering. Smart Metering adalah Perangkat IoT yang dapat merekam jumlah konsumsi listrik pelanggan yang terpasang pada masing-masing meteran listrik pelanggan PLN. Hasil simulasi menunjukkan bahwa dengan menggunakan proses stochastik tidak mengurangi akurasi Sistem Smart Metering dan hanya menunjukkan kesalahan rata-rata 1,19E-07%. Penemuan ini sangat diperlukan karena dengan diacaknya variabel jarak penghantar maka pekerjaan implementasi Smart Metering menjadi lebih mudah karena tidak harus memasukkan nilai jarak penghantar ke setiap perangkat.
Contributing factors in learning programmable logic controller using path analysis Masduki Zakarijah; Pramudi Utomo; Umi Rochayati; Mashoedah Mashoedah; Suprapto Suprapto; Arya sony
Jurnal Pendidikan Teknologi dan Kejuruan Vol 29, No 1 (2023): (May)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jptk.v29i1.61211

Abstract

 Learning Programmable Logic Controller (PLC) programming is influenced by several factors, that is: lecturer competence in PLC programming, adequacy of information technology infrastructure in learning, availability of learning media, vocational guidance procedures, and learning motivation. The purpose of this study: (a) to describe the factors that contribute to PLC programming learning, (b) to formulate a PLC programming competency model, and (c) to examine the determinants of PLC programming learning. Model testing method using Path Analysis.  The results of this analysis are expected to be able to describe the relational patterns between variables in learning PLC programming, as well as the direct and indirect impacts on the mastery of PLC programming competencies.  Keywords: PLC programming competency, path analysis, vocational education.
Design and Implementation of a Student Counting and Monitoring System in a Laboratory Using Human Tracking Method with OpenCV and TensorFlow Nancy Febriani Taek; Arya Sony
Journal of Robotics, Automation, and Electronics Engineering Vol. 2 No. 1 (2024): March 2024
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v2i1.554

Abstract

Laboratories serve as crucial facilities supporting practical activities, with a recommended maximum of 20 students, necessitating periodic monitoring to count the dynamic number of students within. The system utilizes the COCO dataset labeled ”person,” involving an approach with entry and exit preference lines, ID identification implementation, and object detection models YOLO v3 Tiny and Faster R-CNN ResNet50. The main system components, Raspberry Pi 3 Model B+, Raspberry Pi Camera 5 MP (f/1.3), and Raspberry Pi 7-inch Touch Display, are integrated for processing, real-time video recording, and image display functions. Test and evaluation results reveal that YOLO v3 Tiny achieves an 88.24% accuracy for entry counting and 75% for entry-exit counting, with an average processing rate of 4.89 FPS, while Faster R-CNN ResNet50 demonstrates lower accuracy, reaching 70.59% and 45.83%, with an average processing rate of 0.58 FPS.