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All Journal SPIRIT Jurnal Teknika JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Joutica : Journal of Informatic Unisla Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK)
Nurul fuad
LPPM Universitas Islam Lamongan
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Perancangan Sistem Pendeteksi Jaringan Seluler Di Bawah Jaringan Teganggan Tinggi Sutet Berbasis IOT Kemal Farouq Mauladi; Nurul Fuad; Affan Bachri
Jurnal Teknika Vol 11 No 2 (2019)
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/jt.v11i2.350

Abstract

Internet Of Things (IoT) Is A Concept Where Internet Connectivity Can Exchange Information With Each Other With Things Around It. Many Predict That the Internet of Things (IoT) is “The Next Big Thing” in the World of Information Technology. System Testing Is Done In The Graha Indah District Of Lamongan Regency. Sensor Nodes Will Be Placed Near High Teget Sutet Network, Atmega 828 Microcontroller in this study as NodeMCU to be able to read data from sensors and convert the data obtained into the form of numbers that are easy to understand. Another function of the program is to send the data to the middleware every 50 seconds. Data retrieval every 60 minutes is intended to be able to get strong and weak GSM network signals that are close to the SUTET electricity network. 
IMPLEMENTATION OF DOUBLE MOVING AVERAGE METHOD IN PREDICTION OF OMEGA 3 CHICKEN EGG HARVEST RESULT of PAK DARMO WEB-BASED: Peternakan Pak Darmo, Desa Rejosari, Kecamatan Sugio, Kabupaten Lamongan Athia Syarif Hidayatullah; Nurul Fuad
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 8 No. 2 (2023)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v8i2.172

Abstract

Eggs are one of the livestock products that help people to get adequate nutrition. In Indonesia, chicken eggs are in great demand, besides being easy to obtain and the price is affordable, Omega 3 chicken eggs are one of the chicken eggs that have very many benefits. However, chicken eggs themselves become a rare staple because the yield of chicken eggs is too little. The main purpose of this application was to forecast or predict the yield of chicken eggs accurately so that it became one of the options for egg supply in the future. Making the application used the Double Moving Average method as a forecasting method. The Double Moving Average was used as an analysis of data on the yield of chicken eggs Omega 3 with the right calculation produced an accurate forecast. Implementation of the application is intended for users starting from filling in data, filling in forecasting movements, and additional features such as recaps. The results of the application are explained from the forecasting results which have a high level of accuracy and a small error rate using the Double Moving Average method.
EXPERT SYSTEM FOR DIAGNOSIS OF DISEASES IN CAT USING THE NAIVE BAYES METHOD Riky Yoga Perkasa; Nurul Fuad
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 8 No. 2 (2023)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v8i2.173

Abstract

Cats are animals that relieve stress. When a person spends time with a cat, the hormones serotonin, oxytocin and dopamine increase. One of the reasons why cats can relieve stress is purring, that has a frequency level of 25-50 hertz. But cats can also get sick. Researchers took the initiative to create an application to make it easier for users, to be able to diagnosed earlier. The purpose of this application was that it can be an option other than going to an expert, a good accuracy when compared to experts and providing the right solution. Making the application used the Naïve Bayes method as an analysis of cat data from expert sources that produced that symptoms produced appropriate disease with the solution. Implementation users starting from filling in biodata, symptoms, generating diseases and their solutions, and additional features such as disease info and messages. Meanwhile, admin requires a login to use the data management of symptoms, diseases, knowledge base, accounts and messages. The results of the application were explained from the results of the diagnosis which can detect the cats disease from the inputted symptoms, along with other disease options, with a disease comparison value of 91%.
Co-Authors Affan Bachri Athia Syarif Hidayatullah Dedy Aprianto Kemal Farouq Mauladi Riky Yoga Perkasa