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All Journal INFORMAL: Informatics Journal Proceeding of the Electrical Engineering Computer Science and Informatics KOMPUTIKA - Jurnal Sistem Komputer Bubungan Tinggi: Jurnal Pengabdian Masyarakat Prosiding Konferensi Nasional PKM-CSR
Nova El Maidah
Universitas Jember
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Nursing Public Health Social Sciences Other

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Implementasi Metode Fuzzy Sebagai Sistem Kontrol Kepekatan Nutrisi Otomatis Tanaman Hidroponik Berbasis Mikrokontroler Pasa Rangkaian Nutrient Film Technique (NFT) Kurniawan Dwi Yulianto; Achmad Maududie; Nova El Maidah
INFORMAL: Informatics Journal Vol 7 No 1 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i1.29386

Abstract

Hydroponics is a method of cultivating plants by utilizing water as a growth medium by emphasizing on meeting the nutritional needs of hydroponic plants. Hydroponics requires special treatment such as maintaining nutrient levels within the range so that the use of a control system is used. The implementation of the automatic nutrition control system aims to make it easier for farmers to regulate the mixing of AB mix + POC nutrients with water at the PPM value of lettuce plants automatically based on the age of plant growth, so that farmers can produce plants with optimal growth and maximum yields. The hydroponic nutrition control system uses the Fuzzy method. The system will also be integrated with the Arduino Uno microcontroller which is equipped with a Total Dissolved Solids (TDS) sensor. The results of this study can be seen that the success of the system can work well in detecting nutrients in the reservoir and can control pumps and water pumps in low, normal, and high conditions. The sensor used can also work well, where the TDS sensor has an error value of 4.81% and then calibration is carried out so that it gets the equation for the TDS value
A Fuzzy Control System for Temperature and Humidity Warehouse Control Nova El Maidah; Agfianto Eko Putra; Reza Pulungan
INFORMAL: Informatics Journal Vol 1 No 2 (2016): INFORMAL : Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

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

Abstract

A control system is designed to control certain parameters in the system. The desired state maintained is called a steady state. Control actions however may perform something that makes the system experiences a state of overshoot before reaching the steady state. A fuzzy control system can be used to control the system to reach the steady state without overshoot. In this paper, a model of Mamdani's fuzzy inference process is proposed as the basis for this control. MIN operator is used for inference process if there is only one active rule, while MAX operator is used for composition of inferences if there are more than one active rule. A prototype of the fuzzy controller for temperature and humidity achieves an accuracy of 83.33% for temperature controller and an accuracy of 63.33% for humidity controller.
Perbandingan Algoritma Genetika dengan Algoritma Greedy Untuk Pencarian Rute Terpendek Rizky Berlia Oktaviandi; M. Sadid Tafsirul Hadi; Alanfansyah Ghozy Santoso; Nova El Maidah
INFORMAL: Informatics Journal Vol 3 No 1 (2018): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v3i1.9847

Abstract

In everyday life we ​​often travel from place to place. So that we need to consider the time and cost efficient. Therefore, accuracy is needed to determine the shortest path as a consideration in decision to show the path to be taken. The results obtained also require speed and accuracy with the help of a computer. Using or functioning a computer there must be a distributed program in it. The programs contained in the computer vary widely and each program must use an algorithm. Algorithm is a collection of commands to solve a problem gradually from start to finish. There are various algorithms that can be used to find the shortest route such as Breadth First Search algorithm, Depth First Search, A *, Hill Climbing and others. For that required comparison algorithm which is able to find the shortest route accurately and efficiently. In this journal, the algorithm to be compared is the genetic algorithm and greedy algorithm to find the shortest route on a map. Some aspects to be compared are aspects of the accuracy, speed, and complexity of genetic algorithms and greedy algorithms for the shortest route search.
Algorithm Model of K-means for Poor Households Classifying Panggih Pawenang; Nova El Maidah
INFORMAL: Informatics Journal Vol 4 No 2 (2019): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v4i2.14469

Abstract

Poverty is a complex problem experienced by majority of world’s nations especially in the developing countries such as Indonesia. Poverty countermeasure has become the main country development program as one of the indicators of development success is the decrease of poverty rate. Various programs either in national or regional scale have been made as the government’s attempt to reduce the poverty rate. However, there have been a lot of news reports covering the government’s programs which are less precise and even not on the target. Thus, it is essential to have a method which can be implemented to help the planning process of those poverty alleviation programs. This study aims at explaining the formation of K-means algorithm model for classifying poor households; taking a study case in Banyumas Regency, Central Java. The result of this study was K-means algorithm model which has been adapted to the poverty concept from the Statistics Indonesia (BPS) as well as the factors affecting the household poverty. The information obtained from each cluster formed is household characteristics, estimation of household number, and estimation of population experiencing poverty.
Perbandingan Metode Analytical Hierarchy Process (AHP) dan Himpunan Keanggotaan Fuzzy pada Penilaian Kinerja Dosen Noni Namida Oliviani; Haris Rafi; Mochammad Febri Hariyadi; Nova El Maidah
INFORMAL: Informatics Journal Vol 3 No 2 (2018): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v3i2.9985

Abstract

Utilization of artificial intelligence has been imposed into many things, one of them on the assessment of lecturer's performance, one of them on the lecturer's performance assessment. Artificial intelligence can help and facilitate a person to solve a particular problem. In general, the purpose of lecturer performance assessment is to determine the best lecturer's order through predetermined criteria. Decision Making Method (AHP) and Function Membership Fuzzy is a method often used to determine lecturer performance assessment. There is a method that is a form of calculation whose output is the value of several lecturers who entered the assessment list. The purpose of the comparison is to know which artificial intelligence method is best applied to the lecturer's performance assessment. The method used to test the artificial intelligence applied to the lecturer's performance assessment is to use a comparison scenario. Based on the analysis that has been done, the result that artificial intelligence using AHP method and Membership Sets Fuzzy have balanced result. Based on the document can be concluded that in this study AHP method is a superior method in terms of accuracy, while the Fuzzy method is superior in terms of effectiveness.
Determination of Router Location for Optimizing Computer Network Using Dominating Set Methods Nova El Maidah; Ivan Hardja; Slamin Slamin
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (429.703 KB) | DOI: 10.11591/eecsi.v5.1647

Abstract

The aims of this research is to develop a system to determine an optimal router location in a computer network. The router location is optimal if the computer network need the minimal number of router without losing the network connectivity. The methods used in order to optimize the router location are dominating set and Greedy algorithm. The data is the router location of computer network in University of Jember. The result showed that the optimal router needed in the networks is 4. These routers were found by using the determination system that implement Greedy algorithm to find the minimum number of dominating set.
Upaya Preventif dalam Mempersiapkan Kuliah Hyhbrid di Fakultas Ilmu Komputer Universitas Jember Erika Neferia Laurentina; Nova El Maidah
Bubungan Tinggi: Jurnal Pengabdian Masyarakat Vol 4, No 2 (2022)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/btjpm.v4i2.5153

Abstract

Perkuliahan Hybrid merupakan perkuliahan dengan metode kombinasi antara teknik pembelajaran tatap muka dengan metode pembelajaran e-learning akan dilakukan di Universitas Jember Tahun Akademik 2021/2022 Semester Genap, maka dilakukan usaha promosi kesehatan sebagai upaya preventif dengan tujuan menekan angka penularan Covid-19 di lingkungan kampus. Kegiatan ini dilakukan dengan melakukan observasi, identifikasi permasalahan, penyusunan rencana kerja dan pelaksaannya, kemudian pada langkah akhir dilakukan evaluasi kegiatan. Kegiatan dilaksanakan mulai 13 Desember 2021 sampai dengan 23 Januari 2022. Sasaran kegiatan adalah civitas akademika Fakultas Ilmu Komputer, Universitas Jember. Kegiatan ini menghasilkan beberapa media untuk promosi kesehatan dan prosedur operasi standar pelaksanaan perkuliahan Hybrid. Hasil kegiatan ini merupakan peningkatan pengetahuan tentang Covid-19 dan secara tidak langsung dapat menekan penyebaran Covid-19. Hybrid lectures are lectures with a combination method of face-to-face learning techniques with e-learning learning methods conducted at the University of Jember Academic Year 2021/2022. Even Semesters, then health promotion efforts are carried out as a preventive effort to reduce the transmission of Covid-19 in the campus environment. This activity is carried out by observing, identifying problems, compiling work plans, implementing them, and evaluating activities. The activity will be held from December 13, 2021, to January 23, 2022. The target of the activity is the academic community of the Faculty of Computer Science, University of Jember. This activity resulted in several media for health promotion and standard operating procedures for implementing Hybrid lectures. This activity increases knowledge about Covid-19 and can indirectly suppress the spread of Covid-19.
Sosialisasi Air Susu Ibu (ASI) Dalam Mewujudkan Kampung ASI Dini Kurniawati; Hanny Rasni; Nova El Maidah
Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) Vol 1 (2018): Prosiding PKM-CSR Konferensi Nasional Pengabdian kepada Masyarakat dan Corporate Socia
Publisher : Asosiasi Sinergi Pengabdi dan Pemberdaya Indonesia (ASPPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (216.289 KB)

Abstract

Air Susu Ibu (ASI) merupakan satu satunya makanan bagi bayi usia 0 sampai 6 bulan. Perkembangan bayi menjadi optimal dengan pemberian ASI saja sampai usia 6 bulan yang disebut ASI ekslusif. Keberhasilan pemberian ASI eksklusif dipengaruhi oleh beberapa faktor yaitu kondisi ibu, kondisi bayi dan dukungan sosial. Tujuan kegiatan ini adalah memberikan sosialisasi pada Kader PKK tentang pentingnya ASI sehingga mampu menjadi kelompok pendukung ASI dan mewujudkan kampung ASI. Permasalahan pada mitra adalah belum adanya kelompok pendukung ASI dan rendahnya peran serta masyarakat dalam membantu Ibu untuk memberikan ASI eksklusif. Solusi penyelesaian masalah dengan memberikan sosialiasi mengenai ASI eksklusif. Mitra mendapatkan edukasi mengenai ASI eksklusif, manfaat ASI, sepuluh langkah keberhasilan menyusui, undang undang mengenai ASI eksklusif dan pentingnya kelompok pendukung ASI. Kegiatan ini dilakukan di Desa Rambipuji, Kecamatan Rambipuji Kabupaten Jember, Jawa Timur. Mitra memberikan bantuan berupa sarana dan prasarana, komsumsi dan komunikasi dengan kader PKK. Kegiatan ini dilakukan dengan ceramah, diskusi. dengan tim pengabdi merupakan dosen keperawatan maternitas yang sekaligus konselor menyusui, dosen keperawatan komunitas yang ahli dalam pemberdayaan masyarakat dan dosen ilmu komputer yang ahli dalam media edukasi. Pengabdian ini didukung oleh Kemenristek DIKTI dengan dana hibah DRPM. Hasil yang didapatkan adalah peningkatkan pemahaman mitra mengenai ASI eksklusif, manfaat dan pentingnya kelompok pendukung ASI serta 100% mitra bersedia dan berkomitmen untuk anggota kelompok pendukung ASI dan mewujudkan kampung ASI. Mitra bersedia untuk mengikuti kegiatan selanjutnya untuk menwujudkan kampung ASI. Dukungan masyarakat merupakan salah satu aspek penting dalam mewujudkan keberhasilan ibu memberikan ASI eksklusif.
Analisis Sentimen Opini Publik Terhadap Program Vaksinasi Covid-19 Di Indonesia Pada Twitter Menggunakan Metode Naive Bayes Classifier Priza Pandunata; Kukuh Tri Winarno N; Yanuar Nurdiansyah; Nova El Maidah
INFORMAL: Informatics Journal Vol 7 No 3 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i3.34930

Abstract

The COVID-19 virus emerged in December 2019 in China and actively spread throughout the world including Indonesia in early 2020. Its spread is very fast and has caused millions of deaths. Therefore, the Indonesian government is actively holding a COVID-19 vaccination program to prevent the spread of the virus and make the public immune to the virus. But the program invites pros and cons among the community. Twitter is one of the social media that is famous for being a medium of opinion from the general public. The process of sentiment analysis can find and solve problems based on public opinion on social media such as Instagram. The classification method used in this research is Naïve Bayes Classifier. The dataset can be obtained from data crawling process using Google Collabs and python programming language. The total dataset obtained is 2000. The data the labelled as positive, neutral, or negative. The labelling process result showed 1579 positive data, 277 negative data, and 144 neutral data. Then pre-processing is carried out on the data that has been labeled before, also word weighting process using TF-IDF. After that modelling is carried out using Naïve Bayes Classifier and the last process is evaluation-testing. The high accuracy of the result from fourth experiment which compare 90% data training with 10% data testing produce 86% accuracy. While the result of sentiment test show that positive sentiment more than negative sentiment and neutral sentiment.
Prediksi Harga Cabai Rawit di Provinsi Jawa Timur Menggunakan Metode Fuzzy Time Series Model Lee Komaria, Vida; Maidah, Nova El; Furqon, Muhammad Ariful
Komputika : Jurnal Sistem Komputer Vol 12 No 2 (2023): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v12i2.10644

Abstract

ABSTRAK - Jawa timur merupakan Provinsi dengan jumlah produksi cabai rawit terbesar di Indonesia berdasarkan data dari BPS pada tahun 2021 yaitu sekitar 41,75%. Cabai rawit merupakan komoditas yang memiliki fluktuasi harga yang tinggi dan berpengaruh terhadap berbagai pihak sehingga dibutuhkan mekanisme untuk memprediksi harga cabai rawit agar menjadi bahan pertimbangan dalam pengambilan keputusan. Fuzzy time series Lee merupakan salah satu metode yang dapat digunakan untuk memprediksi data time series baik data yang bersifat stasioner maupun non-stasioner. Penelitian dilakukan menggunakan data historis harga cabai rawit merah dan cabai rawit hijau di Provinsi Jawa Timur dari April 2017 hingga Februari 2023 dengan periode data mingguan sebanyak 307 data. Nilai Z1 dan Z2 yang digunakan untuk mendapatkan hasil error terkecil adalah Z1=950 dan Z2=400 untuk cabai rawit merah sedangkan untuk cabai rawit hijau nilai Z1 dan Z2=100. Nilai error dari peramalan harga cabai rawit merah menggunakan model fuzzy time series Lee yaitu MAE=4.469,04 RMSE=6.138,64 dan MAPE=13,09% dengan kategori nilai MAPE baik dan nilai error untuk peramalan harga cabai rawit hijau yaitu MAE=1.486,15 RMSE=2.211,06 dan MAPE=6,72% dengan kategori nilai MAPE sangat baik. Kata Kunci – peramalan; fuzzy time series Lee; harga cabai rawit; MAPE; Python
Co-Authors Achmad Maududie Agfianto Eko Putra Alanfansyah Ghozy Santoso DINI KURNIAWATI Erika Neferia Laurentina Furqon, Muhammad Ariful Hanny Rasni Hardja, Ivan Haris Rafi Ivan Hardja Komaria, Vida Kukuh Tri Winarno N Kurniawan Dwi Yulianto M. Sadid Tafsirul Hadi MHD. Reza M.I. Pulungan Mochammad Febri Hariyadi Noni Namida Oliviani Panggih Pawenang Priza Pandunata Rizky Berlia Oktaviandi S Slamin Yanuar Nurdiansyah