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All Journal Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Bubungan Tinggi: Jurnal Pengabdian Masyarakat
Christy Mahendra
STIKOM YOS SUDARSO
Civil Engineering, Building, Construction & Architecture Computer Science & IT Social Sciences Other

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SISTEM PEMBERI PAKAN IKAN OTOMATIS BERBASIS INTERNET OF THINGS DENGAN WEMOS D1R1 Selina Anindita; Christy Mahendra; Hadiyanto Hadiyanto
Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Vol. 6 No. 1 (2022): Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmstkik.v6i1.15163

Abstract

Feeding carp manually results in disruption of fish growth so that fish yields are not optimal. If the feed is given too much then the rest of the fish feed will become a source of bacteria. Therefore, it is necessary to design an Internet of Things (IoT)-based carp feeder monitoring sistem that can work automatically based on the time and amount of fish feed that has been determined. In this study, the research method used is the waterfall method. The IoT-based automatic carp feeder monitoring sistem uses a Wemos D1 R1 microcontroller, RTC, LCD, servo motor, ultrasonic sensor, buzzer and Blynk. The results of this study are tools for monitoring automatic feeding at a predetermined time. Fish feed was given twice a day at 6:00 and 18:00 with feed weight 2% of the total fish biomass. Ultrasonic sensor accuracy in reading fish feed distance is 95.63%, accuracy in feeding fish is 90.47%, buzzer accuracy for warning if fish feed is running low is 100%. The amount of fish feed consumed for 3 weeks automatically was 152 grams and 107 grams manually. The difference in fish changes for manual feed is 10 grams and automatically is 15 grams. Keywords: Wemos D1R1, IoT, Blynk AbstrakPemberian pakan ikan gurame  secara manual  mengakibatkan terganggunya pertumbuhan ikan sehingga hasil panen ikan tidak maksimal. Jika pakan  diberikan terlalu banyak maka sisa pakan ikan akan menjadi sumber bakteri. Oleh karena itu perlu dirancang sistem monitoring alat pembemberi pakan ikan gurame berbasis Internet of Things (IoT) yang dapat bekerja secara otomatis berdasarkan waktu dan jumlah pakan ikan yang telah ditentukan. Pada penelitian ini, metode penelitian yang digunakan adalah metode Waterfall. Sistem monitoring alat pembemberi pakan ikan gurame secara otomatis berbasis IoT menggunakan mikrokontroller Wemos D1 R1, RTC, LCD, motor servo, sensor ultrasonik, buzzer dan Blynk. Hasil penelitian ini berupa alat untuk memonitoring pemberian pakan otomatis pada waktu yang telah ditentukan. Pemberian pakan ikan dilakukan 2 kali sehari yaitu pukul 6:00 dan 18:00 dengan berat pakan 2% dari total biomassa ikan. Akurasi sensor ultrasonik dalam membaca jarak pakan ikan sebesar 95,63%, akurasi dalam pemberian pakan ikan sebesar 90,47%, akurasi buzzer untuk peringatan jika pakan ikan hampir habis sebesar 100%. Jumlah pakan ikan yang dikonsumsi selama 3 minggu secara otomatis adalah 152 gram dan 107 gram secara manual. Selisih perubahan ikan untuk pakan manual sebesar 10 gram dan secara otomatis sebesar 15 gram.
Digital Transformation of Myna Gawosa Fisheries MSMEs: AOV Analysis and Sales Improvement Strategies Post E-Commerce Implementation Christy Mahendra; Yosita Lianawati; Wilibrodus Megandika Wicaksono; Jonathan Briant Wijaya; Agnes Florentina Santosa; Maria Putri Kinanti
Bubungan Tinggi: Jurnal Pengabdian Masyarakat Vol 8, No 1 (2026): FEBRUARY 2026
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/btjpm.v8i1.17071

Abstract

This report presents an analysis of e-commerce performance as a result of the community service program (Pengabdian Masyarakat/PkM) at the Myna Gawosa Fish Cultivators Group (Pokdakan), Banjarnegara. The objective of this community service program is to address the limitations of conventional marketing through the implementation of e-commerce-based digital marketing technology to expand market reach and improve the welfare of fish farmers. The PkM implementation method is carried out in stages, including program socialization, digital literacy and content creation training, e-commerce technology application, as well as mentoring and periodic evaluation. The target of the PkM activities is the Myna Gawosa Farmers Group, which cultivates ornamental and consumption fish. Overall, the digital platform shows a positive impact on business volume: Total Revenue grew significantly by 36.8%, driven by a sharp increase in the Number of Orders by 120.0%. However, this success is offset by a drastic decrease in the Average Order Value (AOV) by -37.8%. In conclusion, the business successfully drove transaction volume but faces three major strategic issues: daily revenue volatility, declining AOV, and a customer base that is too small. Strategic recommendations include the development of upselling and cross-selling techniques, as well as more intensive digital marketing campaigns for acquiring new customers.
Co-Authors Agnes Florentina Santosa Hadiyanto Hadiyanto Jonathan Briant Wijaya Maria Putri Kinanti Selina Anindita Wilibrodus Megandika Wicaksono Yosita Lianawati