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All Journal Widyariset Widyariset BACA: Jurnal Dokumentasi dan Informasi
Purnomo Husnul Khotimah
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Aerospace Engineering Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Neuroscience Physics

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SINGLE MASTER – MULTIPLE SLAVES MICROCONTROLLER IMPLEMENTATION FOR SENDING AND RECEIVING DATA ON WEATHER STATION PROTOTYPE Dikdik Krisnandi; Purnomo Husnul Khotimah
Widyariset Vol 3, No 1 (2017): Widyariset
Publisher : Pusbindiklat - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1140.811 KB) | DOI: 10.14203/widyariset.3.1.2017.19-34

Abstract

We have carried out the microcontroller research implementation as a Master to control multiple Slaves microcontroller on weather station prototype. Master Microcontroller could be interconnected with four Slaves microcontrollers Slaves, in which each has a different type of input. In this research, we used an ATmega8535 microcontroller. To distinguish between a Slave microcontroller and another Slave microcontroller, an addressing system (ID) is used. Data communication used a standard serial port RS-232 and RS-485 ports, the connector is used to connect the two ports. The Single Board Controller (SBC) Master serves user commands from users, sending the commands and processing Slaves. User commands are given via the keypad and then transmitted using a Universal Asynchronous Receiver-Transmitter (USART) to SBC Slaves. The process on the SBC Slaves is waiting for orders from the Master. The order is detected using an interrupt. After that, the commands are processed and the respond is sent to the SBC Master via USART. When there is no command, Slaves do the idle process. The result shows that the microcontroller application single Master - multiple Slaves has functioned for sending and receiving data in accordance with the specified command. This is shown by the output on a display that has shown the result as expected. The power consumption of each SBC is relatively small which is 0,745 Watt. Thus, it makes the system more economically profitable.
SINGLE MASTER – MULTIPLE SLAVES MICROCONTROLLER IMPLEMENTATION FOR SENDING AND RECEIVING DATA ON WEATHER STATION PROTOTYPE Dikdik Krisnandi; Purnomo Husnul Khotimah
Widyariset Vol 3, No 1 (2017): Widyariset
Publisher : Pusbindiklat - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1140.811 KB) | DOI: 10.14203/widyariset.3.1.2017.19-34

Abstract

We have carried out the microcontroller research implementation as a Master to control multiple Slaves microcontroller on weather station prototype. Master Microcontroller could be interconnected with four Slaves microcontrollers Slaves, in which each has a different type of input. In this research, we used an ATmega8535 microcontroller. To distinguish between a Slave microcontroller and another Slave microcontroller, an addressing system (ID) is used. Data communication used a standard serial port RS-232 and RS-485 ports, the connector is used to connect the two ports. The Single Board Controller (SBC) Master serves user commands from users, sending the commands and processing Slaves. User commands are given via the keypad and then transmitted using a Universal Asynchronous Receiver-Transmitter (USART) to SBC Slaves. The process on the SBC Slaves is waiting for orders from the Master. The order is detected using an interrupt. After that, the commands are processed and the respond is sent to the SBC Master via USART. When there is no command, Slaves do the idle process. The result shows that the microcontroller application single Master - multiple Slaves has functioned for sending and receiving data in accordance with the specified command. This is shown by the output on a display that has shown the result as expected. The power consumption of each SBC is relatively small which is 0,745 Watt. Thus, it makes the system more economically profitable.
Kumpulan data citra telepon pintar untuk identifikasi varietas cabai merah berbasis daun Suwarningsih, Wiwin; Evandri, Evandri; Kirana, Rinda; Purnomo Husnul Khotimah; Dianadewi Riswantini; Ekasari Nugraheni; Andri Fachrur Rozie; Andria Arisal; Devi Munandar; Noor Roufiq Ahmadi
BACA: Jurnal Dokumentasi dan Informasi 2024: SPECIAL ISSUE - DATA IN BRIEF FOR REPOSITORI ILMIAH NASIONAL
Publisher : Direktorat Repositori, Multimedia, dan Penerbitan Ilmiah - Badan Riset dan Inovasi Nasional (BRIN Publishing)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/baca.2024.7786

Abstract

Chili plants played an important role in human life, serving as a source of income for farmers, as a provider of employment, and as a source of vitamins and minerals for the community. Market demand for red chili continued to increase, encouraging seed producers to provide quality plant seeds. The requirements for selecting plant varieties were based on market demand (taste, color, appearance, size, etc.), high productivity, resistance to plant pest attacks, and suitability for planting in local ecosystem conditions. Based on this, a smart approach was needed to identify plant varieties to maintain seed purity. To facilitate and streamline leaf-based chili variety identification, a comprehensive dataset was compiled. This dataset, consisting of 3877 leaf images divided into 12 variety classes, aimed to determine which plants were parent seeds or seeds that had deviations from their varieties. Leaf images were collected from the BALITSA garden through observations of leaf growth from shoots to 20 days of plant age. Various strict steps were taken to ensure the quality of the dataset and increase its usefulness. Chili leaf images taken from various angles and having high resolution were designed to assist in the development of highly accurate models. By leveraging this curated dataset, it was possible to train a model for real-time leaf-based identification of chili varieties, which significantly helped in the timely identification of such conditions.
Co-Authors Andri Fachrur Rozie Andria Arisal Devi Munandar Dianadewi Riswantini Dikdik Krisnandi Ekasari Nugraheni Evandri, Evandri Noor Roufiq Ahmadi Rinda Kirana Wiwin Suwarningsih