Article Per Year (5 Year)
p-Index From 2020 - 2025
0.562
P-Index
This Author published in this journals
All Journal Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Augusta Jannatul Firdaus, Reza
Unknown Affiliation
Computer Science & IT

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
PEMANFAATAN MICROCONTROLLER ARDUINO UNO UNTUK SISTEM MONITORING SUHU DAN KELEMBABAN KUMBUNG JAMUR TIRAM Faizah, Arbiati; Hari Saputro, Pujo; Augusta Jannatul Firdaus, Reza
Inovate Vol 4 No 1 (2019): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v4i1.770

Abstract

Mushrooms are a high source of nutrition and can be processed into various types of cuisine. Oystermushroom cultivation in low-lying areas requires controlling temperature and humidity in mushroomkumbung to get optimal growth. Currently the system of regulating the temperature and humidity ofmushroom kumbung is done manually and automatically. This study aims to design and create anautomatic temperature and humidity monitoring system for oyster mushroom kumbung by utilizing anArduino Uno microcontroller and a DHT11 temperature sensor. The system design is made throughtwo phases namely hardware design and software design. The hardware design using the Arduino Unomicrocontroller and DHT11 sensor aims to monitor the temperature and humidity of the kumbung andsend data to the server. Whereas hardware design is implemented in an android application as aninterface in receiving data from the server and delivering the results of temperature and humiditymonitoring to farmers. The system that was made has been implemented in the oyster mushroomkumbung and tested temperature and humidity successfully and can send data to the server.Keywords: Arduino Uno, Microcontroller, Sensor DHT 11, Monitoring System.
Sistem Pendukung Keputusan Penyaluran Program Bantuan Pangan Non Tunai (BPNT) Metode Simple Additive Weighting (SAW) Di Kelurahan Brudu Kecamatan Sumobito Kabupaten Jombang Rizal, Fatchur; Imam Agung, Achmad; Augusta Jannatul Firdaus, Reza
Inovate Vol 5 No 2 (2021): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v5i2.3092

Abstract

Because poverty is the highlight of one of the economic problems that exist in various countries and even the world and including this country, and the poverty rate is a multidimensional problem. This assistance program is part of the poverty reduction program of the government in the first cluster, namely activities on social protection based on the head of the family in meeting or determining the basic food needs of the less fortunate. This food aid will be distributed to the respective officers who take care of the regency or city in the form of non-cash or what is called in-kind, that is, the assistance will be provided in the form of rice and or eggs that have been provided by agents in each region. This study aims to design or create a decision support system for beneficiaries in Brudu village and to implement a decision support system using the Simple Additive Weighting (SAW) method, which is a method for determining aid distribution. The results of this research are managing data of potential beneficiaries with weighted calculations in order to help Brudu Village, Sumobito District, Jombang Regency, namely by using and implementing a system that is more able to work quickly to get results, is appropriate in assessment, and objectively in a decision making so that the selection produced and issued in these results are valid and truly it can be said to be valid that the community deserves assistance and the level of valid data accuracy in the system for determining non-cash food aid using the Simple Additive Weighting (SAW) method is 83.851% Keywords:Non-cash Food Aid Distribution System, Information System, SAW, Action Research, Website
Penerapan Metode Exponential Smoothing Pada Prediksi Dana Donatur Di Lembaga Amil Zakat Ummul Quro Kabupaten Jombang Anggung Mestuti Kaprawiran, Immas; Dwi Nuryana, I Kadek; Augusta Jannatul Firdaus, Reza
Inovate Vol 5 No 2 (2021): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v5i2.3122

Abstract

Donor Fund Prediction is a prediction system that aims to predict donor funds at the Ummul Quro Amil Zakat Institution, Jombang Regency. The Donor Fund Prediction is used to predict the next year based on previous year's data. This study focuses on using exponential smoothing while for the prediction method initially using moving averages. The calculated data is 2014-2018 while 2019 is used for testing prediction errors. In predicting exponential smoothing, alpha constant value which has the smallest error is needed. To get it, several stages are needed, namely, predicting 2014-2019 using a moving average with a constant defined by the user, predicting 2014-2018 with exponential smoothing with an alpha value between 0 to 1, looking for the MAPE (Mean Absolute Percentage Error) value at each value alpha used. After obtaining alpha with the smallest MAPE, the alpha value is used to predict 2019. The test results explain that calculations using a program with the Moving average method and Exponential smoothing successfully predict with an accuracy of 93.32% or only have an error of 6.68% instead of using only the method. The moving average only has an accuracy of 90.25%. Keywords: Prediction, Exponential smoothing, Moving average
Sistem Klasifikasi Tingkat Kesesuaian Bibit Dan Pupuk Dengan Algoritma C4.5 Berbasis Website (Studi Kasus : Kecamatan Megaluh) Panji Sulanggalih, Mochammad; Rohman Nudin, Salamun; Augusta Jannatul Firdaus, Reza
Inovate Vol 6 No 1 (2021): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v6i1.3159

Abstract

Selection of suitable seeds and fertilizers will greatly affect the level of plant fertility This research was conducted to classify the types of seeds and fertilizers accordingly, in order to obtain high levels of fertility and crop yields. The attributes used in this study were the type of seed, type of soil, type of pest, type of disease, and type of fertilizer. This study uses the Classification Decision Tree method with the C4.5 Algorithm, which is one of the methods in data mining. This method is used to obtain a set of tree-shaped patterns that can separate data classes from one another, which are used for decision making. The result of this research is a website-based system, so that it can be accessed by all users. This system can be used to classify the appropriate types of seeds and fertilizers based on the rules formed by the C4.5 calculation process. From the test results with the number of training data 499 data, the first root that was formed was fertilizer with a gain value of 0.142. The rule that is formed from the test results is that there are 173 rules that match, 120 rules are very suitable. And from 125 test data, there are 108 correct data and 17 error data, with the correct data percentage is 86.4% and the percentage of error data is 13.6%. Keywords : Classification, Decision Tree, C4.5 Algorithm, Agricultural Seed and Fertilizer, Website.
Co-Authors Achmad Imam Agung Anggung Mestuti Kaprawiran, Immas Faizah, Arbiati Hari Saputro, Pujo I Kadek Dwi Nuryana Panji Sulanggalih, Mochammad Rizal, Fatchur SALAMUN ROHMAN NUDIN