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Journal : Jurnal Ilmiah Informatika dan Komputer

 1 
Penerapan Algoritma K-Means Untuk Mengelompokkan provinsi Di Indonesia Berdasarkan Data Sebaran Covid-19 Achmad Furqon Nur Fitriadhi; Retno Wahyusari
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 1 No 1 (2022): January
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v1i1.222

Abstract

In December 2019 in Wuhan, China there was an outbreak that attacked the respiratory tract. Early in January, WHO identified the virus as Coronavirus or 2019-nCoV which later announced the official name for the virus that was ravaging COVID-19. The COVID-19 virus did not only occur in Wuhan, but also spread throughout the world. This is no exception in Indonesia, from March to April the graph data has increased significantly. The purpose of this study is to apply the K-Means algorithm in grouping provinces based on the level of spread of the Corona virus (COVID-19). The research carried out is up-to-date by adding attributes in group determination, the attributes used are the number of positives, the number of recoveries and the number of deaths. The study resulted in 2 (two) groups with cluster 0 membership indicating the area that was least affected by COVID-19 with a total of 6 data, and cluster 1 showing the area most affected by COVID-19 with a total of 28 data. From this research, it can be concluded that the government should carry out handling of COVID-19 more focused on cluster 1 which has the largest number of impacts.
Penentuan Jenis Tomat Menggunakan Ekstraksi Ciri Bentuk dan Ukuran dengan Metode K-Means Devi Tiana Kartikasari; Retno Wahyusari
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 1 No 2 (2022): July
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v1i2.226

Abstract

Tomato plants are developed very rapidly, giving birth to new types of tomatoes. As a result, it is difficult for farmers to distinguish different types of tomatoes from one another. Determination of the type of tomato can be seen based on the size, shape, color and state of the skin of the fruit. One way to distinguish tomatoes from one another is to look at the characteristics of shape and size. Feature extraction is used so that it can be used as a differentiating reference for the type of tomato. Tomatoes are first converted from the original image or RGB to an HSV image then take the channel (S) from HSV for segmentation in order to get the value of extracting shape and size characteristics, grouping the types of tomatoes according to their respective types is by using the K-means method. The choice of the K-Means method is because besides being popular, it is also a simple and effective method. Ensuring that the process carried out gets accurate results, the calculation or process of determining the type of tomato can be added to help tools such as Rapid Miner and Matlab. Extraction of shape and size features with the K-means method was considered capable of distinguishing between types of tomatoes and can be grouped according to type. The number of data sets of 100 tomatoes with 5 types of tomatoes contained 11 points of error in the determination by the K-means method so that the accuracy obtained was 89%.
Clustering Menggunakan Algoritma K-Medoids Untuk Menentukan Strategi Promosi Sekolah Tinggi Teknologi Ronggolawe Cepu Muhammad Abdimas Khalifuddin; Retno Wahyusari
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 3 No 1 (2024): JIIFKOM
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v3i1.396

Abstract

Efforts to create an effective and efficient marketing management strategy require a detailed and objective understanding of the market in which they operate. In analyzing this problem, the field of marketing management often overlaps the field of strategic planning. Marketing strategy consists of making decisions about the company's marketing costs, marketing mix, and marketing location. Marketing management must decide what costs need to be spent on marketing and how to allocate the entire marketing budget to various tools in the marketing mix. New student data in the Cluster using the K-medoids Algorithm method with the help of Rapid Minner, as well as knowing the level of correlation with the Davies Bouldin Index (DBI). The results of this research are from 118 data, using 2 clusters produces 0 clusters of 72 and 1 cluster of 46 and 3 clusters produce 0 clusters with 72 members, 1 cluster with 3 members and 2 clusters with 43 members. The DBI value with 2 clusters is 1.04 and 3 clusters is 1.01.
Implementasi Metode Algoritma Apriori Untuk Menentukan Pola Pembelian Obat Pertanian Ahmad Rifa'i; Retno Wahyusari
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 3 No 1 (2024): JIIFKOM
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v3i1.401

Abstract

Pertanian di Indonesia memiliki peran penting dalam kehidupan, pembangunan, dan perekonomian negara. Sebagai negara agraris, Indonesia memiliki berbagai macam komoditas pertanian yang dapat tumbuh di daerah tropis, baik untuk memenuhi kebutuhan pangan dalam negeri maupun untuk diekspor ke luar negeri. Desa Sumberpitu merupakan desa yang berada di Kabupaten Blora, lebih tepatnya terletak di Kecamatan Cepu. Desa Sumberpitu merupakan salah satu desa yang dapat mengembangkan potensi di bidang pertanian. UD. Sumber Tani Rejeki merupakan distributor obat pertanian di wilayah Sumberpitu. UD. Sumber Tani Rejeki berdiri sejak tahun 2000 sampai saat ini. Produk yang dijual UD. Sumber Tani Rejeki kurang lebih 70 jenis obat-obatan pertanian dengan jumlah transaksi tiap bulan rata- rata 40 transaksi. UD. Sumber Tani Rejeki menimbun nota-nota pembelian yang belum dimanfaatkan. Dengan adanya permasalahan yang dialami, perlu adanya pemanfaatan data dengan menggunakan Data Mining. Algoritma apriori adalah salah satu algoritma yang paling terkenal untuk menentukan pola frequensi tinggi atau aturan asosiasi. Penerapan algoritma apriori sangat mudah dipahami dalam proses pembentukan kombinasi itemset. Oleh sebab itu, algoritma apriori cocok untuk diterapkan dalam menemukan jenis obat-obat pertanian yang paling banyak terjual. Pengaplikasian perhitungan algoritma apriori baik menggunakan perhitungan secara manual maupun aplikasi dari 15 data transaksi menghasilkan 13 aturan asosiasi. Dimana, untuk iterasi berhenti pada iterasi ke 3.
Penerapan Kombinasi Genetic Algorithm (GA) dan Bees Algorithm (BA) untuk Penjadwalan Matakuliah Praktikum Putro, Dwi Purnomo; Suryani, Puput Eka; Wahyusari, Retno
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 3 No 2 (2024): JIIFKOM
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v3i2.437

Abstract

A perfect solution to the challenging issue of course scheduling is needed to prevent scheduling conflicts and guarantee a fair allocation of courses. The effectiveness of genetic algorithms (GA) and genetic algorithms combined with bee algorithms (GA+BA) for automatic course scheduling is compared in this study. this research also investigates the enhancement of performance by the use of the Bee Algorithm, a recognized expert in exploration and exploitation techniques. According to experimental data, when compared to GA alone, GA+BA consistently yields greater fitness values but the computation time increases. The results show that GA only achieves an average fitness value of 0.86, while GA+BA achieves an average fitness value of 0.98. However, GA+BA calculates an average computing time of 14.41 seconds slower, than GA which takes 8.59 seconds. These findings show that combining BA into the GA framework is able to optimally improve the solution to the problem of scheduling practicum courses. This study shows that GA+BA is a successful method in terms of automatic course scheduling, which provides a solution for use in actual.
Perancangan Alat Pengukur Suhu Badan dan Kadar Oksigen Dalam Darah Menggunakan Mikrokontroler Wahyusari, Retno; Wibowo, Lastoni; Amrozi, M Ali
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 2 No 2 (2023): JIIFKOM
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v2i2.354

Abstract

The three symptoms of Corona that are most often experienced are general symptoms such as fever, cough and shortness of breath. Based on this, the government has made regulations to measure body temperature before entering a public space. Even though it's not really something that becomes the main determinant, we still need it for several public locations. In addition to body temperature, checking oxygen levels in the blood is also one of the important indications needed to see a person's body health. The condition is declared healthy if the body temperature is below 37o and oxygen levels are between 95-100. Devices for measuring body temperature and oxygen levels in the blood are tools that support the implementation of health protocols. Utilizers of the tool can detect early health problems based on body temperature and oxygen levels in the blood, especially the corona virus. The test results show that the tool has an accuracy rate above 90%, where the body temperature accuracy is 94.33% and the oxygen level accuracy is 98.63%. This shows that the tool can replace manufacturing tools, so this tool is suitable for use to help create a new normal era that pays attention to health protocols.
Perbandingan Perbaikan Citra Magnetic Resonance Imaging (MRI) Menggunakan Ruang Warna RGB, HSV dan YCbCr Dengan Metode Histogram Equalization dan Contrast Streching Hamzah, Fahmi Aliefuddin; Wahyusari, Retno
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 2 No 2 (2023): JIIFKOM
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v2i2.355

Abstract

Magnetic resonance imaging (MRI) images are the images most often used in the field of radiology. Some of the problems that often occur in medical images are the scanning results that have decreased quality due to noise factors. MRI images that have been printed and then entered into a computerized system will experience a decrease in quality such as the image looks blurry or dark. So it is necessary to improve image quality to create a quality image in order to make it easier for doctors to diagnose and reduce the possibility of analysis errors. Image enhancement (IE) techniques are widely applied to image processing to increase the probability of success in image analysis. Image improvement methods include Histogram Equalization (HE) and Contrast Streching (CS). One of the good images can be seen from the MSE value which is the smallest or close to zero and the highest PSNR value. The color space has an effect on image improvement and can be included in the pre-processing process including RGB, HSV, and YCbCr. Based on the 100 images tested, the results of the RGB image enhancement by 31%, 66% HSV, and 27% YCbCr were said to be successful with the Histogram equalization and contrast streching methods, so the HSV color space is superior to the RGB and YCbCr color spaces.
Co-Authors ., Suprawikno Abdul Azis Abdul Fadlil Achmad Furqon Nur Fitriadhi Adhika Pramita Widyassari Agung D.N.P, Muhammad Ahmad Rifa'i Aji, Doni Kurnia Al Hadi, Fahreza Amrozi, M Ali Anang Widianto Aris Rakhmadi Astika AyuningTyas, Astika Ayu, Anggi Mutia Bambang Haryoko Carreon, Jonathan Rante Devi Tiana Kartikasari Dyah Ayu Safitri Aprilia Eka Y, Sandy Pramudya Endang Kurniawati, Endang Esa Adistiya Fajarwati Mahdum Eva Hertnacahyani Herraprastansi Figo SW, Denni Ghifari, Muhammad Al Gunawan, Helmi Hamzah, Fahmi Aliefuddin Hilda Nur Maziyah Korawan, Agus Dwi Kuncoro, Bagus Tri Lastoni Wibowo Lies Indriyatni Masuri, Masuri Mudjijanto, Mudjijanto Muhamad Nur Subkan Muhammad Abdimas Khalifuddin Nabila, Zahara Nagari, Bintang Putra Nugraha, Anung Satria Putro, Dwi Purnomo Rahmasari, Nagita Ratna Dwi Rahayu Rochmadi, Tri Safiq Rosad Salsabilla, Dea Sarmini Setiawan, David Harry Shofia, Aina Sulistiyo, Yogi Sunardi Sunardi suryani, puput eka Suryanto, Hendri Suryanto, Hendri Sushananto W, Denni Figo Teguh Adi Saputro Teguh Yuwono Teguh Yuwono Wiranti, Dwiana Asih Wulan Sutriyani