Eko Supriyanto
Dept. Of Electrical Engineering, Politeknik Negeri Semarang, Semarang, Indonesia

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Design of a Water Sprinkler System and Monitoring of Soil Moisture in Potato Cultivation of the Kledung Horticulture Seed Center based on the Internet of Things (IoT) Eko Supriyanto; Endro Wasito; Abu Hasan; Dhea Ernanda; Karenza Balqis
JAICT Vol 5, No 2 (2020)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v5i2.2023

Abstract

Potato is one of horticultural commodities that plays an important role to assure food security, mostly upper place such as plateau. Monitoring soil’s moisture and soil’s pH in potato plant tendance is the key point for good growth and development of potatoes. Soil moisture in a land is affected by the level of water contain in the soil. For that reason automatic monitoring system is needed to observe the land condition where the potato seedling is planted and a moisture control system that can ease the work. 40% to 70% of soil moisture is ideal for potatoes plant. The development of this design make use of wireless fidelity (wifi). This device keep the dampnes know less than 40%. If it’s less than 40%, the sensor will detected so the watering system will running and system will stop if reaching 70%. This design can monitor pH, temperature and humidity through the android application. With an accuracy level of the pH sensor for measuring 95.85% of acidity, the capacitive sensor for measuring soil moisture is 96.6% and DHT11 for measuring temperature and humidity at 99.75%.
An Analysis of Quality of Service (QoS) In Live Video Streaming Using Evolved HSPA Network Media Achmad Zakaria Azhar; Subuh Pramono; Eko Supriyanto
JAICT Vol 1, No 1 (2016)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (529.17 KB) | DOI: 10.32497/jaict.v1i1.423

Abstract

Evolved High Speed Packet Access (HSPA+) is a mobile telecommunication system technology and the evolution of HSPA technology. This technology has a packet data based service with downlink speeds up to 21.1 Mbps and uplink speed up to 11.5 Mbps on the bandwidth 5MHz. This technology is expected to fulfill and support the needs for information that involves all aspects of multimedia such as video and audio, especially live video streaming. By utilizing this technology it will facilitate communicating the information, for example to monitoring the situation of the house, the news coverage at some certain area, and other events in real time. This thesis aims to identify and test the Quality of Service (QoS) performance on the network that is used for live video streaming with the parameters of throughput, delay, jitter and packet loss. The software used for monitoring the data traffic of the live video streaming network is wireshark network analyzer. From the test results it is obtained that the average throughput of provider B is 5,295 Kbps bigger than the provider A, the average delay of provider B is 0.618 ms smaller than the provider A, the average jitter of provider B is 0.420 ms smaller than the provider A and the average packet loss of provider B is 0.451% smaller than the provider A.
VEGETABLE TYPE CLASSIFICATION USING NAIVE BAYES ALGORITHM BASED ON IMAGE PROCESSING Hanny Nurrani; Andi Kurniawan Nugroho; Sri Heranurweni; Eko Supriyanto; Generousdi -
JAICT Vol 7, No 2 (2022)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v7i2.3762

Abstract

There are so many different varieties of vegetables in Indonesia that the sorting procedure presents difficulties. In an effort to expedite the introduction of smart farming in Indonesia, more agricultural assistance techniques will be created. Utilizing the Naive Bayes algorithm is one way that may be used to advance agriculture in Indonesia. Image processing consists of converting RGB images to grayscale images, segmenting images using the thresholding method, collecting image features based on the HSV average value and object area, and classifying pictures using the Naive Bayes algorithm. This research seeks to use image processing technologies to agricultural products, particularly vegetables. The system is comprised of a single picture captured by a digital camera. There were eight varieties of vegetables employed for the picture data, with a total of eighty consisting of 64 training data and 16 test data. Spinach, green chilies, red chilies, chayote, cucumber, eggplant, tomatoes, and carrots were the vegetables categorized. The categorization findings indicate that 87.5 % of the test values produced using this approach are accurate. This study demonstrates that the Naive Bayes method has a high degree of accuracy for the categorization of vegetables based on image processing. It is anticipated that the findings of this study would promote the implementation of smart farming 4.0 in Indonesia.
Sistem Monitoring dan Controlling Cairan Infus Berbasis Website Sri Anggraeni Kadiran; Eko Supriyanto; Muhammad Yusuf Maghribi
Jurnal Riset Rekayasa Elektro Vol 5, No 1 (2023): JRRE VOL 5 NO 1 JUNI 2023
Publisher : LEMBAGA PUBLIKASI ILMIAH DAN PENERBITAN, UNIVERSITAS MUHAMMADIYAH PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrre.v5i1.17743

Abstract

Saat ini bidang kesehatan memerlukan informasi yang cepat, tepat, dan akurat. Dalam hal ini peranan internet menjadi sangat penting. Misalnya pada   pendaftaran pasien hampir seluruhnya memakai sistem pendaftaran online atau berbasis internet.  Pada saat ini pekerjaan mengontrol infus tiap pasien di rumah sakit, dilakukan secara manual, dengan melihat langsung pada cairan infus. Cara ini tidak efisien, sehingga sering terjadi cairan infus sudah habis, tetapi belum juga diganti. Penelitian ini akan membuat sistem monitoring cairan infus dengan metode internet of thigs, sehingga sistem dapat memantau kondisi cairan infus terus menerus dari ruang perawat. Dengan demikian, proses pemantauan infus lebih terjamin dan pergantian infus tertangani lebih cepat. Hasil pengujian  blackbox testing menunjukkan hasil yang baik dan sesuai dengan fungsionalitas yang dirancang. Hasil pengujian load time dengan bandwidth 19,23 Mbps dalam waktu 1,00 detik. Sedangkan dengan bandwidth 14,50 Mbps dalam waktu 1,75 detik. Hasil rata-rata delay pengiriman data dari alat ke database yang di dapatkan dari setiap tetesan adalah 68,38 detik.