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Sistem Informasi Usaha Peningkatan Pendapatan Keluarga (UP2K) Secara Online Di Kelurahan Bulusan Kecamatan Tembalang Nursyahid, Arif; Siswadi, Andre
TELE Vol 13, No 2 (2015)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Di kelurahan Bulusan, kecamatan Tembalang, Semarang untuk pendataan buku catatan UP2K masih menggunakan cara manual. Sistem Informasi Usaha Peningkatan Pendapatan Keluarga (UP2K) ini dibuat untuk memecahkan masalah tersebut, yang intinya bisa mempermudah untuk mengolah data catatan UP2K. Sistem Informasi Usaha Peningkatan Pendapatan Keluarga (UP2K) ini mampu menginput, mengedit, yang berupa data catatan keluarga untuk disimpan ke dalam database dan dapat dilihat outputnya dalam bentuk web maupun dalam bentuk file excel . Sistem Informasi Usaha Peningkatan Pendapatan Keluarga (UP2K) ini menggunakan bahasa pemrograman PHP dan database MySQL. Sistem Informasi Usaha Peningkatan Pendapatan Keluarga (UP2K) ini dioperasikan oleh administrator, pegawai kelurahan dan kader kelurahan Bulusan. 
Penerapan Machine Learning Untuk Mengendalikan Parameter Budidaya Tanaman Hidroponik Berbasis Edge Dan Cloud Computing Nursyahid, Arif; Setyawan, Thomas Agung; Helmy, Helmy
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 4: Agustus 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.1148631

Abstract

Hidroponik sebagai metode urban farming mampu memenuhi kebutuhan sayuran segar di Indonesia. Budidaya tanaman hidroponik memiliki banyak keunggulan, antara lain tidak memerlukan lahan luas, bebas pestisida, tanaman lebih steril, dan tidak mudah terkena penyakit karena tidak menggunakan tanah. Keasaman larutan (pH) adalah parameter penting dalam budidaya hidroponik, karena mempengaruhi kemampuan tanaman menyerap unsur hara. Selain pH, kepekatan larutan nutrisi yang dinyatakan dalam Total Dissolved Solids (TDS) dengan satuan ppm juga perlu dikendalikan karena menyuplai nutrisi yang dibutuhkan tanaman. Dalam penelitian ini, pengendalian pH dan TDS menggunakan machine learning dengan metode regresi linear berganda serta teknologi edge computing dan cloud computing. Edge computing memungkinkan pemrosesan data real-time di perangkat sensor hidroponik, sedangkan cloud computing menyediakan kapasitas penyimpanan dan pemrosesan besar. Kombinasi kedua teknologi ini memungkinkan sistem pengendalian yang efisien, scalable, dan dapat diakses dari mana saja oleh petani. Berdasarkan hasil pengendalian via cloud, persamaan regresi untuk pengendalian TDS mampu bekerja dengan baik dengan akurasi 98,73% pada tandon 60 liter dan 95,95% pada tandon 100 liter. Selain itu, persamaan regresi untuk pengendalian pH juga bekerja dengan baik dengan akurasi 99,28% pada tandon 60 liter dan 99,69% pada tandon 100 liter.   Abstract   Hydroponics, as an urban farming method, can meet the demand for fresh vegetables in Indonesia. Hydroponic plant cultivation has many advantages, including not requiring large land areas, being pesticide-free, producing more sterile plants, and being less susceptible to disease since it does not use soil. The acidity of the solution (pH) is a crucial parameter in hydroponic cultivation because it affects the plant's ability to absorb nutrients. Besides pH, the concentration of the nutrient solution, expressed in Total Dissolved Solids (TDS) in ppm, also needs to be controlled as it supplies the nutrients required by plants. In this study, the control of pH and TDS utilizes machine learning with a multiple linear regression method and edge computing and cloud computing technologies. Edge computing allows real-time data processing at the hydroponic system's sensor devices, while cloud computing provides large storage and processing capacities. The combination of these technologies enables an efficient, scalable control system accessible to farmers from anywhere. Based on cloud control results, the regression equations for TDS control were found to be adequate and perform well with an accuracy of 98.73% for a 60-liter tank and 95.95% for a 100-liter tank. Additionally, the regression equations for pH control were also adequate and performed well with an accuracy of 99.28% for a 60-liter tank and 99.69% for a 100-liter tank.    
Implementation of Web-based and Android-based Ruminant Livestock Management System with QR Code Technology at SMKN 1 Bawen Sasono, Sindung Hadwi Widi; Callista, Nada Vania Khansa; Hayuningtyas, Adika Dewi; Helmy, Helmy; Hidayat, Sidiq Syamsul; Wasito, Endro; Nursyahid, Arif; Nugroho, Ari Sriyanto
Jurnal SOLMA Vol. 14 No. 2 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i2.18288

Abstract

Background: Manajemen peternakan ruminansia di SMKN 1 Bawen masih menerapkan sistem pencatatan manual yang menyebabkan ketidakefisienan dalam pengelolaan data dan keterbatasan akses informasi. Pegabdian ini bertujuan mengimplementasikan sistem manajemen peternakan berbasis Web dan Android dengan teknologi QR Code. Metode: Pengabdian menggunakan pendekatan agile yang terdiri dari empat tahap: perencanaan, analisis, rekayasa, dan evaluasi. Sistem dikembangkan menggunakan Visual Studio Code untuk website dan Android Studio IDE untuk aplikasi mobile, dengan pengujian menggunakan Black Box Testing, Stress Testing, dan Performance Testing. Hasil: Kegiatan ini berhasil diimplementasikan dengan fitur utama meliputi manajemen data ternak, identifikasi menggunakan QR Code, monitoring kesehatan, dan analisis perkembangan ternak. Sistem ini terbukti meningkatkan efisiensi pengelolaan data ternak dan memudahkan akses informasi bagi pengguna. Kesimpulan: Implementasi sistem manajemen peternakan digital berhasil mengatasi permasalahan pencatatan manual dan memberikan dampak positif pada pembelajaran siswa dalam manajemen peternakan modern.
Implementation Of IoT In Nila Fish Cultivation With Bioflock System Wasito, Endro; Prahara, Tahan; Nursyahid, Arif; ., Dadi; Anggraeni K., Sri
JAICT Vol. 9 No. 1 (2024)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v9i1.5309

Abstract

In cultivating tilapia using the biofloc system, maintaining water quality (temperature, pH, turbidity) is not only for the health of the fish but also for the reproduction of the biofloc. So that water quality is known, sensors connected to IoT are installed. Sensor output data is processed by Arduino and sent to a data base server via the internet network so that water quality parameters can be monitored at any time via the internet network. This system was created in research entitled "Optimizing Tilapia Cultivation of Biofloc Systems with the Internet of Things". The pool has a diameter of 2m, height 1m, airator 500 liters/min, 4 airstones @ 30 liters/min. After the pond is assembled and the biofloc has grown (made from 375 ml multi-probiotic, 300 ml molasses, 150 gram dolomite, 60 gram nitrobacter), proceed with adding 150 tilapia fish seeds 5-6 cm long (weight 22.2 gr/fish). After 2 months the growth of the tilapia became 12-13 cm long (weighing 100 g/fish), with 2% mortality. The sensor measurement results displayed on the website are as follows: average pH values (5.6-7.5), temperature (27-29), turbidity (225-354) ppm, floc density (20-25) ml/liter. Hiprofit 781-3 feed is 13.4 kg. The research results show that IoT implementation can display the water quality of biofloc tilapia ponds in real time. pH fluctuations from 5.6-7.5 indicate that biofloc can function well.
Real-Time Web-Based Monitoring System for Temperature, Humidity, and Solar Panels in Ramie Drying Facilities Hidayat, Sidiq Syamsul; Shabiya, Kiara Izzatus; Kadiran, Sri Anggraeni; Mujahidin, Irfan; Prabowo, M. Cahyo Ardi; Nursyahid, Arif; Wasito, Endro; Helmy, Helmy
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.47234

Abstract

Purpose: To address the manual monitoring challenges in processing ramie fibers, especially during drying. The purpose is to create a monitoring system that oversees room temperature, humidity, and the status of solar panels, crucial factors in ramie productivity.Methods: Real-time web-based system development that monitors room temperature, humidity, and the performance of solar panels in a ramie drying room using the Internet of Things architecture ESP32 with communication through GSM SIM 800L in rural areas.Results: The system can display real-time information such as temperature data, humidity, and electrical energy parameters derived from the solar panel's utilization in the ramie drying room. By doing so, users gain efficiency and effectiveness in obtaining information, significantly enhancing ramie fiber productivity.Novelty:  Integration of sensor instruments, low-power ESP32 microcontrollers, GSM Telecommunication, Solar Cell Energy as a power source, and a real-time web-based Monitoring Information System implemented in a ramie drying dome. This simplifies the monitoring process and optimizes limited resources such as space, energy, telecommunications, and human resources, which are typically constrained infrastructure in the ramie fiber agricultural system.