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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
Afif Badawi
Universitas Pembangunan Panca Budi, Medan
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

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Analisis Dempster Shafer Dalam Mendiagnosa Penyakit Coffea Canephora (Kopi Robusta) Khairu Fahriz Ramadhan; Afif Badawi
Journal of Information System Research (JOSH) Vol 4 No 4 (2023): Juli 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i4.3818

Abstract

Indonesia is one of the world's largest coffee producers and has a reputation for producing high quality coffee. As a country located in the tropics with fertile soil, climate, and suitable topography, Indonesia has ideal conditions for growing coffee. Various varieties of coffee in Indonesia, including Arabica and Robusta, grow well in various regions such as Java, Sumatra, Sulawesi, Bali, Nusa Tenggara, Papua and Kalimantan. Some of the typical Indonesian coffee varieties include Gayo Coffee from Aceh, Mandailing Coffee from North Sumatra, Toraja Coffee from South Sulawesi, and Bali Coffee from Bali. Coffee plants can be attacked by various diseases, which can affect growth, quality and yield. The Dempster-Shafer analysis approach for diagnosing disease in Robusta coffee plants is based on the theory of trust (evidence theory) and provides a strong framework for modeling uncertainty in disease diagnosis. The first step is to collect observational data on various disease indicators such as leaf discoloration, decay symptoms, and stunted growth. By calculating the degree of confidence and uncertainty, we can produce reliable conclusions about the presence of disease in Robusta coffee plants. In addition, we also developed the Dempster-Shafer model to identify the stage or severity of the disease, which can assist farmers in taking appropriate action. The results show that the Dempster-Shafer analysis approach provides accurate and reliable results in diagnosing Robusta coffee disease. This model can also provide valuable information in identifying disease stages, which can support effective disease management and control.
MONITORING TEGANGAN DAN SUHU GARDU DISTRIBUSI BERBASIS INTERNET OF THINGS Afif Badawi; Ricky Ramadhan Harahap
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 6, No 3 (2023): October 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v6i3.1460

Abstract

Abstract: The term "Internet of Things" (IoT) refers to devices that can transmit data without requiring human interaction because they use the internet as a medium. IoT can be used for things that are very important for people's daily lives, such as meeting basic needs and finding frequently visited places. Therefore, this technology can be used to build systems that can provide data. This research uses an Arduino microcontroller to apply IoT to a distribution substation. This was done to enable the North Sumatra PLN UP2D office to receive information about customer power transformer voltage and temperature in real-time. System testing was carried out using an Arduino Uno R3 with an ATMega328p chip and several supporting devices, to obtain some data in the form of voltage, temperature of a transformer, and how to transmit data from the Arduino microcontroller device to the internet. The research results show that the device can connect to the internet with IP address 10.16.114.71 for the LAN network and IP address 192.168.1.100 for the internet modem and voltage and temperature data can be displayed in real time with a varying value range of around 383 391 for voltage and temperature values. around 29 42 ?.Keywords: internet of things; distribution substation; arduino; voltag; temperature Abstrak: Istilah "Internet of Things" (IoT) mengacu pada perangkat yang dapat mengirimkan data tanpa memerlukan interaksi manusia karena menggunakan internet sebagai medianya. IoT dapat digunakan untuk hal-hal yang sangat penting bagi kehidupan sehari-hari manusia, seperti memenuhi kebutuhan pokok dan menemukan tempat yang sering dilalui. Maka dari itu, teknologi ini dapat digunakan untuk membangun sistem yang dapat menyediakan data. Penelitian ini menggunakan mikrokontroler Arduino untuk menerapkan IoT pada gardu distribusi. Ini dilakukan untuk memungkinkan kantor PLN UP2D Sumatera Utara menerima informasi tentang tegangan dan suhu transformator daya pelanggan secara real-time. Pengujian sistem dilakukan menggunakan Arduino Uno R3 dengan chip ATMega328p serta beberapa perangkat pendukung, untuk memperoleh beberapa data berupa tegangan, suhu sebuah transformator, dan cara transmisi data dari perangkat mikrokontroler Arduino ke internet. Hasil penelitian menunjukkan bahwa perangkat dapat terhubung ke internet dengan IP address 10.16.114.71 untuk jaringan LAN dan IP address 192.168.1.100 untuk modem internet serta data tegangan dan suhu dapat ditampilkan secara realtime dengan rentang nilai yang bervariasi sekitar 383 391 untuk nilai tegangan dan suhu sekitar 29 42 ?. Kata kunci: internet of things; gardu distribusi; arduino; tegangan; suhu
Co-Authors Khairu Fahriz Ramadhan Ricky Ramadhan Harahap