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All Journal International Journal of Artificial Intelligence Research JTIM : Jurnal Teknologi Informasi dan Multimedia Jurnal TEKNOKES
Lukie Perdanasari
Politeknik Negeri Jember
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Android-Based Application for Children’s Growth Monitoring as a Complement for Child Development Card Pramuditha Shinta Dewi Puspitasari; Bety Etikasari; Trismayanti Dwi Puspitasari; Ria Chandra Kartika; Lukie Perdanasari; Arvita Agus Kurniasari
Jurnal Teknokes Vol 15 No 1 (2022): March
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v15i1.7

Abstract

Posyandu is a community activity center to provide health services and family planning. Routine monthly weighing for toddlers is one of the activities carried out by the Posyandu. This activity aims to detect early childhood growth disorders to address these problems quickly and precisely. However, since the Covid-19 pandemic, the toddler Posyandu, held regularly every month, has been temporarily suspended until the pandemic ends. This situation causes monitoring of toddlers' growth, and development cannot be done. Therefore we need a mechanism for monitoring child growth and development that can be done online via a smartphone. In previous research has implemented several desktop, web, and mobile-based information systems, but they do not yet have complex features such as maternal and child health information management. The purpose of this research is to create an android-based application in the form of an information system for Child Development Posyandu, which will contain several features such as immunization schedules, monitoring of child growth and development, health news. This application development uses the design sprint method. The test results with the User Acceptance Test method of this android application to user respondents show that 80% of the applications are in a Good category and can be used at Posyandu.
Pengukuran Karakteristik Lahan Berbasis Internet of Things Lukie Perdanasari; Arvita Agus Kurniasari; Trismayanti Dwi Puspitasari; Bety Etikasari; Denny Trias Utomo; Jumiatun Jumiatun; Octavian Yudha Mahendra
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 3 (2021): November
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i3.170

Abstract

Climate change is one of the factors that affect crop production, so it is necessary to implement strategies and technologies to maintain the availability of cereal crops in Indonesia. It is necessary to prepare the land for the early planting process and monitoring plant growth in order to produce maximum crops. Utilization of the Internet of Things (IoT) can be used to monitor soil temperature and pH in real time, so hope for the long term it can increase crop production. The purpose of this research is to make a prototype design system with Internet of Things (IoT) technology to obtain temperature and pH data. This tool will test the functional accuracy. This research for measuring the characteristics of land based on IOT uses a prototype method consisting of Communication, Quick Plan, Modelling Quick Design, Construction of prototype, and Development Delivery & Feedback. Assembling the Wemos microcontroller, D1 R1, Breadboard, DS18B20 temperature sensor, 4700 Ohm Resistor, soil pH sensor, and 16x2 I2C LCD and connected using jumper cables with application control will be implemented into Wemos D1 R1 using the C++ programming language using Arduino IDE. Testing of the tool is carried out to ensure that the sensor is functionally able to read the temperature and pH of the soil correctly. Testing used black box method and was implemented in 5 land axis points at Politeknik Negeri Jember. The results used tools and litmus paper showed the same value. The conclusion and benefit of detecting land characteristics using the Wemos microcontroller showed more detailed measurement results with numbers behind the comma and a tool accuration rate of 100%.
Image Segmentation for Oyster Mushroom Grade with Canny Detection for Image Classification Ratih Ayuninghemi; Dia Bitari Mei Yuana; Nurul Sjamsijah; Lukie Perdanasari; Mohammad Hidayatullah; Iqbal Ikhlasul Amal
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : International Journal of Artificial Intelligence Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.2.468

Abstract

Product quality must remain good to consumers and expand market segmentation to increase income and improve farmers' welfare, post-harvest handling needs to be done. One of the post-harvest handlings of fresh oyster mushroom products is grading. The grading process is carried out based on the quality of the oyster mushroom harvest which is classified into three, namely Grade A, Grade B, and Grade C. Computer technology with digital image processing segmentation and image classification using canny edge detection can be the first step in the process of grading fresh oyster mushrooms. so that the image can be processed for canny detection, it is necessary to do image segmentation. From the results of thresholding on the oyster mushroom image, the threshold value of T is obtained, namely with T1 below 50 and T2 above 150. The T threshold value is a classification for the canny detection process. Of the six oyster mushroom datasets, five datasets of oyster mushrooms were obtained accurately, while one mushroom had broken lines and noise.
Co-Authors Arvita Agus Kurniasari Bety Etikasari Bety Etikasari Denny Trias Utomo Dia Bitari Mei Yuana Iqbal Ikhlasul Amal Jumiatun Jumiatun Mohammad Hidayatullah Nurul Sjamsijah Octavian Yudha Mahendra Pramuditha Shinta Dewi Puspitasari Puspitasari, Trismayanti Dwi Ratih Ayuninghemi Ria Chandra Kartika