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Generation Journal
Published by Universitas Nusantara PGRI Kediri
ISSN : 25804952     EISSN : -     DOI : https://doi.org/10.29407
Core Subject : Science,
Computer Science & IT
Generation (Genius Research Implementation Of Information Technology) Journal diterbitkan oleh Universitas Nusantara PGRI Kediri dan dikelola oleh Prodi Teknik Infomatika Universitas Nusantara PGRI Kediri. Tujuan dari Jurnal ini adalah untuk memfasilitasi publikasi ilmiah dari hasil-hasil penelitian di Indonesia dan berpartisipasi untuk meningkatkan kualitas dan kuantitas penelitian untuk akademisi dan peneliti dalam bidang teknologi informasi. GENERATION Journal diterbitkan setiap bulan Januari dan Juli.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 138 Documents
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Metode Fuzzy Mamdani Pada Sistem Pendukung Keputusan Penentuan Jumlah Petugas BPBD Takengon Satria, Budy; FAJAR, LM; Efitra, Efitra; Efendi, Irman
Generation Journal Vol 5 No 2 (2021): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v5i2.15638

Abstract

To determine the number of officers at the Regional Disaster Management Agency (BPBD), the results of the Fuzzy calculations 2020. In May there are 70 requests for officers, while the number of existing officers is 109 and possibly 95. In June the requests for officers are 80, while the existing officers are 90 and possibly 87. In July the requests for officers are 90 , while the existing officers numbered 75 and possibly 72 were assigned. Until September the request for officers was 40, the existing officers were 58 and possibly 41 were assigned. Tests were also carried out using matlab tools as a form of implementation in order to get accurate results according to with manual calculation of the Fuzzy mamdani method.
Penerapan Artificial Intelligence untuk Kontrol Suhu dan Kelembapan pada Kandang Broiler berbasis Internet of Things Nalendra, Adimas Ketut; Waspada, Heri Priya
Generation Journal Vol 5 No 2 (2021): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v5i2.15706

Abstract

Abstract – Broiler chickens or broiler chickens are one of the popular sources of nutrition in Indonesia. The production of broilers reaches 3.15 billion heads, with the most production center on Java’s island. The Covid-19 disaster that hit Indonesia caused broilers’ production to decrease due to the government’s social restrictions. To maximize production and reduce production efficiency, artificial Intelligent application innovations are carried out for temperature, humidity, and gas control in broiler chicken coops. Artificial Intelligent methods of developing machines can think like humans to help control and make decisions. This artificial Intelligent model uses a fuzzy logic Pulse Width Modulator (PWM)model. The device used for control utilizes Internet of Things technology with a microcontroller as its primary device and sensor as an environmental data reader. The microcontroller used is ESP32 which has been embedded with Wifi to facilitate the transmission of data to the server. To read the sensors’ environmental conditions used by temperature sensors, humidity uses DHT11 and ammonia gas using MQ2. Environment data is sent to the server, which is useful for the user monitoring the cage environment’s condition remotely and, if needed, can be controlled by using the application interface. In this research, the process of system development using waterfall method, namely needs analysis, design, implementation and testing. The system’s application results were tested using two models, namely, trying the sensor reading value compared to the weight on the hygrometer and observation of the reaction of chickens in the cage. The test results obtained the difference in value between the sensor and hygrometer can be tolerated and the chicken reaction following the system’s cooling status.
Quick Count Application in the Election of Regents in Ngajuk Regency Pradita, Rangga
Generation Journal Vol 6 No 1 (2022): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v6i1.15885

Abstract

Pemilihan Bupati merupakan agenda rutin demokrasi di Indonesia untuk memilih kepala daeranya. Berdasarkan azaz pemilihan umum dalam penyelenggaraan pemilu harus secara luber dan jurdil. Transparansi sangat dibutuhkan dalam proses pemilihan umum, hal ini agar dapat menghidari kesimpangsiuran informasi yang beredar dimasyarakat mengenai hasil pemilihan. Penggunaan quick count mampu meramalkan kemungkinan pemenang dalam pemilihan umum. Dengan menggunakan metode simple random sampling untuk memilih beberapa TPS secara acak. Pengumpulan hasil akan dilakukan oleh relawan untuk memasukkan hasil perolehan tiap pasangan calon dari tiap TPS yang sudah ditentukan sebelumnya, kemudian semua informasi yang telah dikirim relawan yang telah dikumpulakan akan dihitung oleh server untuk melakukan prediksi hasil pemilu secara cepat. Penyelenggaraan quick count telah dilindungi oleh undang-undang, selama hasil yang dikeluarkan bisa dipertanggungjawabkan. Dengan melihat hasil penelitian menunjukkan bahwa metode quick count dapat digunakan untuk memprediksi hasil pemilihan umum dengan tingkat akurasi mendekati perhitungan resmi yang dikeluarkan oleh Komisi Pemilihan Umum Daerah Nganjuk.
Application of the EOQ Method for Analysis of MSME Product Sales in Nganjuk Regency Nugraha, Yoga Adi; Niswatin, Ratih Kumalasari; Helilintar, Risa
Generation Journal Vol 6 No 1 (2022): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v6i1.15886

Abstract

Pada masa pandemi covid-19 ini banuak sekali yang terkana dampaknya pada sektor perkeonomian masayarakat Indonesia. Salah satunya dikabupaten nganjuk. Dikabupaten nganjuk banyak sekali sektor umkm atau perusahaan yang mengalami penurunan penjualan pada produk mereka. Jika umkm tidak punya strategi yang tepat untuk mengelola produk mereka,maka biaya pengadaan tidak sebanding dengan biaya penjualan dan akan menimbulkan biaya penyimpanan yang besar. Penelitian ini menggunakan metode deskriptif kuantitatif dengan teknik pengumpulan data melalui observasi, wawancara dan studi pustaka. Teknik analisis data yang digunakan dalam penelitian ini dengan melakukan perhitungan-perhitungan yang relevan dengan menggunakan metode EOQ Dalam penelitian ini, kami membangun sistem untuk menganalisa persediaan barang atau produk untuk menghemat biaya pengadaan karena perusahaan atau umkm sangat diperlukan dalam mengoptimalisasi proses produksi. Pengambilan data dilakukan dalam acuan tahun 2020. Hasil penelitian menunjukan bahwa dalam satu umkm pada Tahun 2020 menggunakan metode EOQ dapat diketahui efisiensi biaya pengadaan, kapan harus melakukan pemesanan kembali serta dapat diketahui berapa jumlah produk yang dipesan untuk bulan berikutnya. Berdasarkan hasil analisa metode eoq dibandingkan dengan kebijakan perusahaan dapat disimpulkan bahwa dengan metode eoq pada umkm dapat menghemat biaya pengadaan serta dapat menghemat produk yang dipesan supaya tidak menumpuk di gudang, sehingga dapat meminimalkan total biaya yang dikeluarkan oleh perusahaan setiap periode.
Klasterisasi Kasus Kekerasan Terhadap Anak dan Perempuan Berdasarkan Algoritma K-Means adawiyah, noviya; Sulistiyowati, Nina; Jajuli, Mohamad
Generation Journal Vol 5 No 2 (2021): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v5i2.15995

Abstract

Violence is action or threats against themselves alone, a group of people or community a group of people or community, loss psychologist, trauma, or deprivation of rights. District Karawang is on of the district that exist in the province of Jawa Barat. Violence that befell children and women in the area of Karawang bloom occurs, such as the lacj awareness of the victim to follow up cases that happened. The purpose of knowing the results of the cluster of cases of violence against children and women into three clusters are statterd in every sub-district in the District Karawang with category level of hardness low, medium or high in order that the government Karawang can provide treatment that is defferent and more targeted and focused on the results ot the analysis for each-each district. Data mining is the process of extracting data to obtain new information. In this study using CRIPS-DM methodology.Research is doing computation algorithm k-means clustering on the data of case of violence against children and women in 2016-2020. Results of testing using tools WEKA 3.8 earnded three cluster or the three categories of the level of violence that is cluster 0 there are 4 members who categorized the level of violence high, cluster 1 there are 2 members categorized the level of violence medium, and cluster 2 there are 24 members who categorized the level of violence low, the results of clustering is evaluated using equation testing purity measure, generate value purity 0,617, case that shows the cluster is quite good.
Klasifikasi Pengguna Shopee Berdasarkan Promosi Menggunakan Naïve Bayes Fatiah Rahmadanti, Tania; Fatiah Rahmadant, Tania; Jajuli, Mohamad; Purnamasari, Intan
Generation Journal Vol 5 No 2 (2021): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v5i2.15998

Abstract

Online shopping is a transaction of buying and selling goods or services through intermediary media, namely social networks. There has been a change in consumption patterns and the way people spend their money, which was originally conventional to switch to E-Commerce services due to several factors, namely the increasing public interest in online shopping due to the COVID-19 virus outbreak, and throughout 2019 E-Commerce users who made transactions reached 168.3 million people. . Based on iprice report data in 2020, Shopee is the most visited E-Commerce with a total of 129,320,800 visitors. Shopee is only a third party that provides a place to sell and payment facilities, therefore Shopee is not responsible for marketing the products sold. To attract consumers, sellers need attractive promotions. Therefore, research is needed to classify E-Commerce users. The purpose of this research is to classify E-Commerce users based on the promotion used using the Naïve Bayes algorithm with the Knowledge Discovery in Database (KDD) methodology. Nine test scenarios were carried out with cross validation which showed that the best performance was a test scenario using 3 folds which resulted in performance with an accuracy value of 88.73%, and with a kappa value of 0.451 which was included in the moderate category. Based on these results, the model generated by the Naïve Bayes algorithm is quite consistent.
Sistem Pendukung Keputusan Menggunakan Certainty Factor Dalam Mendiagnosa Kategori Tingkat Demam Berdarah Rizaldi, Achmad; Voutama, Apriade; Susilawati, Susilawati
Generation Journal Vol 5 No 2 (2021): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v5i2.16015

Abstract

Dengue Fever is still a serious health problem and a major problem in the health sector in various parts of the world and also in Indonesia. This disease is an infectious disease and can infect all ages because there are still many people who still lack awareness in maintaining cleanliness to anticipate transmission. Data from the Ministry of Health of the Republic of Indonesia (Kemenkes RI) Indonesia recorded the number of people infected with Dengue Fever disease as many as 95,893 throughout 2020 and as many as 661 people died from this disease. The method used is using the certainty factor method where if it is interpreted this method will be used to help make a decision to diagnose the category of Dengue Fever level with a level of confidence in the form of a percentage of how much someone is infected with Dengue Fever in the existing category. The results obtained in the calculation of certainty factor get a result in the category of grade 1 of 98%, grade 2 of 98%, grade 3 of 99%, grade 4 of 99%. These results are enough to prove that this certainty factor method has a fairly high percentage level result.
Perbandingan Algoritma SVM dan SVM Berbasis Particle Swarm Optimization Pada Klasifikasi Beras Mekongga Emilia Ayu Wijayanti; Rahmadanti, Tania; Rahmadanti, Rahmadanti; Enri, Ultach
Generation Journal Vol 5 No 2 (2021): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v5i2.16075

Abstract

Rice is the most important staple food in Indonesia. There are various types of varieties available, one of them is Inpari Mekongga variety. In Karawang, Mekongga rice type is the most popular and superior compared to others. However, this type of rice is often mixed with the other types because there are too many varieties and various other problems. Classifying varieties of rice types can be done to identify the types of rice. The classification of rice varieties in this research is divided into 2 classes, Mekongga and not Mekongga. The method that used in this reserach is Support Vector Machine (SVM) and Particle Swarm Optimatizon (PSO). SVM method was chosen because it basically handles the classification of two classes. Meanwhile, PSO method used to optimize the accuracy level of the SVM method. Combination from the two methods is very well used in classification data because it can increase the level of accuracy better. The purpose of this reserach is compare the accuracy of the 2 methods that used. The results from research is mekongga rice classification with Support Vector Machine has accuracy value 46.67% and AUC value 0.475. Meanwhile, using Support Vector Machine based on Particle Swarm Optimization (PSO) can help improve the classification of this mekongga rice with accuracy value 70.83% and AUC value 0.671.
Traffic Accident Data Clustering in Cileungsi District Using the K-Means Method Titus, Titus Kurniawan; Jajuli, Mohamad
Generation Journal Vol 6 No 1 (2022): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v6i1.16103

Abstract

Data merupakan suatu kumpulan fakta yang masih dapat diolah menjadi sebuah informasi yang menarik. Berbagai pengolahan data dilakukan secara komputerisasi, mulai dari penyimpanan data, arsip, membuat laporan, serta menghasilkan informasi, baik yang dibutuhkan secara perorangan maupun perusahaan. Dibutuhkan sebuah metode atau Teknik yang dapat merubah tumpukan data tersebut menjadi sebuah informasi yang berharga atau pengetahuan (knowledge) yang bermanfaat untuk mendukung pengambilan keputusan. Manfaat dari penelitian ini adalah untuk melihat bagaimana pola suatu kecelakaan lalu lintas di kecamatan cileungsi itu terjadi. Yang bertujuan untuk mengetahui faktor penyebab, waktu, dan umur korban yang paling sering mengalami kecelakaan. Sehingga pemerintah dapat mengambil suatu keputusan dari hasil penelitian ini. Suatu teknologi yang dapat digunakan untuk mewujudkannya adalah data mining. Data mining merupakan suatu proses mencari pola atau informasi menarik dalam data terpilih dengan menggunakan Teknik atau metode tertentu. Data mining mampu menganalisa suatu data yang besar atau banyak. Salah satu Teknik atau metode yang dapat digunakan adalah K-Means Clustering. Algoritma K-Means Clustering merupakan suatu tata cara penganalisaan informasi ataupun tata cara data Mining yang melaksanakan proses pemodelan tanpa supervise (Unsupervised). Pada penelitian ini akan menghasilkan 3 cluster, untuk mengkategorikan lokasi tidak rawan, rawan, dan sangat rawan. Cluster 1 menghasilkan nilai evaluasi 0.35, pada cluster 2 menghasilkan nilai evaluasi 0.22, dan pada cluster 3 menghasilkan nilai evaluasi 0.38. Pada penelitian ini, menggunakan evaluasi silhoutte coefficient.
OPTIMASI GOOGLE CLASSROOM SEBAGAI INOVASI PEMBELAJARAN ONLINE DI MASA PANDEMI COVID-19 Susilo, Purnomo Hadi; Rohman, M. Ghofar
Generation Journal Vol 5 No 2 (2021): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v5i2.16117

Abstract

The Covid-19 pandemic has plagued all corners of the world, including Indonesia. Simultaneously, the Ministry of Education and Culture (SE No. 36962/MPK.A/HK/2020), responded that learning during the pandemic can be carried out with an online or remote system and work from home. The application of online learning is a form of innovation that can be done to condition the teaching and learning process in the hope of preventing the spread of the Covid-19 outbreak. One of the online learning applications that can be used to support the learning process during the Covid-19 pandemic is Google Classroom. This Google Classroom application is equipped with classroom features that can be created by educators and can be followed by all students. The features provided are complete, including uploading materials, videos, assignments/practices, and even discussion forums. Research data was taken by distributing online questionnaires using google form to 122 students. These students are those who have done online learning using Google classroom. The results showed that the optimization of the use of Google Classroom can be used to develop online learning with high results, which is 73.57%.

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