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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TERBAIK MENGGUNAKAN SIMPLE ADDITIVE WEIGHTING Ila Yati Beti
ILKOM Jurnal Ilmiah Vol 11, No 3 (2019)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v11i3.480.252-259

Human Resources is an important asset in the company to be able to achieve company goals, the selection of the best employees is a way that companies do to motivate employee performance. Company leaders usually have difficulty in evaluating employee performance with various assessment indicators available. This results in decisions that are not objective, to be able to process the best employee selection data that is more accurate and more objective results. Then the Decision Support System is needed in the selection of the best employees. In this study there were 25 Alternative Employees who had met the best employee selection requirements that were processed using the Simple Additive Weighting method and based on 5 assessment criteria, namely the criteria of loyalty, responsibility, behavior / ethics, cooperation, and attendance. From the results of the calculation of the SAW method obtained a top 10 ranking and also obtained that employee work loyalty is very influential on the calculation results with a weight of 30% of the overall weight.

Peran Teknologi Informasi Pada Masa Pandemi Terhadap Kegiatan Belajar Di Sekolah Jusuf Wahyudi; Khairil Khairil; Ila Yati Beti; Yupianti Yupianti; Devina Ninosari
Jurnal Dehasen Untuk Negeri Vol 1 No 2 (2022): Juli
Publisher : Universitas Dehasen Bengkulu

Information and communication technology is progressing faster and faster, and human activities can complete tasks more quickly and efficiently. Information technology makes it easier for people to communicate, interact and act in various ways. The technology that can use to meet face-to-face needs in large quantities is Zoom Cloud Meeting, Google Meet, and Cisco Webex, and there are several other applications for similar purposes but are less desirable. During a pandemic such as Covid 19 and its various derivatives, since it was known until now, it is a scary thing for the community because the impact arising from contracting this virus can result in death. So from 2020 until early 2022, school learning activities were closed due to the PSBB policy from the government. It will be very detrimental to society, especially for school-age children who still need guidance from teachers in understanding lessons. So we need another policy in its implementation, namely the implementation of online or online learning. The utilization of information technology such as Zoom, Google Meet or Cisco Webex as a face-to-face tool between teachers and students through internet media is essential. This situation also does not escape the State 3 Seluma Senior High School, which also carries out online teaching and learning activities.

Implementation Of Data Mining Using Algorithms A Priori in Determining The Pattern Of Product Purchases Perfume Sold Case Study On (Rafflesia Aromatic Professional Perfume) Kadek Dwi Andi Sasrawan; Dewi Suranti; Ila Yati Beti
Jurnal Media Computer Science Vol 1 No 2 (2022): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

At the rafflesia aromatic professional perfume store, we have not used a special application in determining the purchase pattern of perfume products sold and still use manual data processing such as writing in books, and do not utilize existing sales data and sales data only as an archive. So tejadi accumulation of data that is not in the know the benefits. Basically, the data set has useful information to make a decision about the pattern of perfume sales that are sold. One method that can solve the above problems is the Apriori algorithm method. Because the apriori algorithm is a suitable algorithm used to determine the search for Frequent itemsets using the Assciation rule technique with transaction data that is used for 1 month (January 1, 2022 – January 30, 2022).With the amount of 25 data from 15 transactions, support items can be displayed minimum support Value = 10% as many as 10 perfumes consisting of Celebrity, Citra Edition , Alasca , Topaza , Rock Star ,Be Delicitions , La Verne , B Agua Marine, Jasmin Note , and garuda. For a combination of 2 itemset is to use support 15% which consists of, Celebrity-Citra Edition, Celebrity-Alasca, Topaza-Rock Star, Rock Star-be Delicitionse, La Verne-B aqua Marine, B aqua Marine- Jasmine Note, then look for the rules of association that can meet the minimum requirement for confidence is to calculate the confidence associative rules based on a ❸ ( ❸ ) B with a minimum value of support taken is 20%, then that meets that there is a perfume most purchased by consumers is Citra edication, celebrity, alasca ,celebrity topaza, rock star the minimum value of support taken is 20%, then that there is a perfume most purchased by consumers is Citra edication, celebrity, alasca ,celebrity topaza, rock star.

Pengenalan Artificial Intelligence Kepada Siswa Di Lingkungan Sekolah Menengah Atas Lena Elfianty; Deri Lianda; Ila Yati Beti; Kanita Febianda; Panca Nugraha
Jurnal PADAMU NEGERI (Pengabdian pada Masyarakat Bidang Eksakta) Vol 3, No 2 (2022)
Publisher : Perkumpulan Dosen Muda (PDM) Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37638/padamunegeri.v3i2.586

Kegiatan pengabdian pada masyarakat berupa sosialisasi tentang Pengenalan Artificial Intelligence Kepada Siswa Di Lingkungan Sekolah Menengah Atas ini bertujuan untuk membantu para siswa SMA Negeri 3 Bengkulu Utara mendapatkan informasi tentang kemajuan teknologi yang berhubungan dengan Artificial Intelligence. Proses sosialisasi ini dilakukan dengan memberikan informasi tentang kecerdasan buatan yang dikhususkan untuk memecahkan masalah kognitif yang umumnya terkait dengan kecerdasan manusia, seperti pembelajaran, pemecahan masalah, dan pengenalan pola.Hasil dari kegiatan pengabdian pada masyarakat ini adalah agar para siswa siswi bisa lebih memahami dalam kemajuan teknologi kecerdasan buatan di Indonesia dengan memanfaatkan Sumber Daya Manusia (SDM) yang ada karena SDM dalam negeri tak kalah berkualitas dengan SDM luar negeri, juga diharapkan dengan adanya Artificial Intelligence ini dapat mengembangkan SDM di negara Indonesia.

Pengenalan Artificial Intelligence Kepada Siswa Di Lingkungan Sekolah Menengah Atas Lena Elfianty; Deri Lianda; Ila Yati Beti; Kanita Febianda; Panca Nugraha
Jurnal INDONESIA RAYA (Pengabdian pada Masyarakat Bidang Sosial, Humaniora, Kesehatan, Ekonomi dan Umum) Vol 3, No 2 (2022)
Publisher : Perkumpulan Dosen Muda Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37638/indonesiaraya.3.2.33-38

Kegiatan pengabdian pada masyarakat berupa sosialisasi tentang Pengenalan Artificial Intelligence Kepada Siswa Di Lingkungan Sekolah Menengah Atas ini bertujuan untuk membantu para siswa SMA Negeri 3 Bengkulu Utara mendapatkan informasi tentang kemajuan teknologi yang berhubungan dengan Artificial Intelligence. Proses sosialisasi ini dilakukan dengan memberikan informasi tentang kecerdasan buatan yang dikhususkan untuk memecahkan masalah kognitif yang umumnya terkait dengan kecerdasan manusia, seperti pembelajaran, pemecahan masalah, dan pengenalan pola.Hasil dari kegiatan pengabdian pada masyarakat ini adalah agar para siswa siswi bisa lebih memahami dalam kemajuan teknologi kecerdasan buatan di Indonesia dengan memanfaatkan Sumber Daya Manusia (SDM) yang ada karena SDM dalam negeri tak kalah berkualitas dengan SDM luar negeri, juga diharapkan dengan adanya Artificial Intelligence ini dapat mengembangkan SDM di negara Indonesia.

Penerapan Data Mining Dalam Pengelompokkan Buku Yang Dipinjam Menggunakan Algoritma K-Means Herlina Latipa Sari; Ila Yati Beti
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 6 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i6.826

The purpose of this study is to apply data mining in grouping books that are borrowed based on the number of available books, so that by implementing data grouping with the k-means algorithm it will determine the books that are most in demand as seen from the number of available books, books read, and books borrowed from the Dehasen Bengkulu University Library. Data mining is a process or activity carried out to collect large data and then extract the data so that it becomes information that can be used for something useful. From the results of applying data mining to grouping book titles borrowed at the Dehasen Bengkulu University library using the k-means algorithm which has been applied the book titles have been grouped into 2 clusters according to the specified criteria, namely the number of books available, the number of books read and the number of books read. borrowed with the calculation results shown from cluster I (high) from the k-means data grouping there are 10 the number of codes and book titles with the number of books available being 295 with the average number of books read being 9 books and the average number of books read 11 books were borrowed and in cluster II (low) of the k-means data grouping there were 10 numbers of codes and book titles with 115 available books with an average number of books read 5 books and an average number of books borrowed as many as 4 books.

Penerapan Normalisasi Data Metode Decimal Scaling Dan Metode K-Means Dalam Mengelompokkan Kasus Demam Berdarah Ila Yati Beti; Hengki Juliansa
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 6 (2024): Juni 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i6.1925

Dengue fever, caused by a virus transmitted through the bite of Aedes aegypti and Aedes albopictus mosquitoes, continues to show an alarming trend of increasing cases. Although prevention and control efforts have been widely implemented, this increase is raising serious concerns among public health experts and governments. The causes of the increase in dengue fever cases in 2024 may vary, including climate change which affects the distribution of mosquitoes that carry the virus, urbanization which increases mosquito habitat, and changes in human behavior that affect the level of environmental cleanliness. However, this data is often scattered and has different scales, making it difficult to directly analyze. Data analysis of dengue fever cases is important to understand the pattern of disease spread and take preventive steps using the Decimal Scaling method and grouping data using the K-Means method helps in understanding patterns of dengue fever cases. Where is the Decimal Scaling method to produce better and balanced data. After the data is normalized, the next process is to explore information on dengue fever data by applying data mining grouping using the K-Means method. Based on the results of the cendroit test results where cluster 0 has a greater value for each dengue fever grade value as seen in Figure 4, the test results were obtained with a total sample of 197 test data from 2019 to 2023 with 2 number of clusters where cluster 0 has 81 members and cluster 1 has 115 members. So it can be concluded that those who get priority for treatment are more important in the C0 cluster group.

SOSIALISASI CARA MENGGUNAKAN QUIZIZZ SEBAGAI MEDIA PEMBELAJARAN ONLINE DI SMPN 22 KOTA BENGKULU Abdussalam Al Akbar; Lena Elfianty; Ila Yati Beti; Edy Hermansyah; Mutiara Octa Sari; Miki Andika
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 4, No 2 (2024): Desember 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v4i2.2547

Abstract: The development of information technology continues to bring changes to human life where there is a need to be able to follow the flow, especially in the world of education. Where in the learning process the use of technology can have a very big influence on the teaching and learning process. An interactive, interesting and fun teaching and learning process can increase students' motivation to absorb the knowledge conveyed by teachers or educators. Limited time in the teaching and learning process in class often becomes an obstacle for students in absorbing the knowledge presented at school. In this case, using the Quizizz application as an online learning media can be used as a solution to create interactive, interesting and fun learning media for students. This service activity is carried out by directly socializing and practicing the use of the Quizizz application as an online learning medium. By using Quizizz, it is hoped that teachers can create a more interesting, interactive and enjoyable learning experience for students. Quizizz is a digital learning platform that provides various features for online learning, helping teachers create, share and manage quizzes easily and quickly. Through Quizizz, teachers can carry out pre-tests, material reinforcement, practice questions, remedial, post-test, and evaluate learning using interactive quizzes. Keywords: Quizizz application; Online Learning Abstrak: Perkembangan teknologi informasi yang semakin terus membawa perubahan pada kehidupan manusia dimana adanya keharusan untuk mampu mengikuti arusnya khususny dalam dunia pendidikan. Dimana dalam proses pembelajaran penggunaan teknologi dapat berpengaruh sangat besar terhadap proses belajar mengajar. Proses belajar mengajar yang interaktif, menarik dan memnyenangkan dapat menambah motivasi siswa untuk menyerap ilmu pengetahuan yang disampaikan oleh guru atau pendidik. Keterbatasan waktu dalam proses belajar mengajar dikelas sering menjadi kendala siswa dalam menyerap ilmu pengetahuan yang disampaikan di sekolah. Dalam hal ini penggunaan Aplikasi Quizizz sebagai media pembelajaran online dapat dijadikan solusi untuk membuat media pembelajaran yang interaktif, menarik dan menyenangkan untuk peserta didik. Kegiatan pengabdian ini dilaksanakan dengan cara mensosialisasikan dan praktik secara lansung tentang penggunaan aplikasi Quizizz Sebagai Media Pembelajaran Online Dengan menggunakan Quizizz, diharapkan guru dapat menciptakan pengalaman pembelajaran yang lebih menarik, interaktif, dan menyenangkan bagi siswa. Quizizz merupakan platform pembelajaran digital yang menyediakan beragam fitur untuk pembelajaran secara online, membantu guru dalam membuat, membagikan, dan mengelola kuis secara mudah dan cepat. Melalui Quizizz, guru dapat melakukan pre- test, penguatan materi, latihan soal, remedial, post-test, dan evaluasi pembelajaran menggunakan kuis interaktif. Kata kunci: Aplikasi Quizizz; Pembelajaran Online

Association Rule Mining System in Analyzing The Use Pattern of Drugs by Using Apriori Herlina Latipa Sari; Ila Yati Beti
International Journal of Artificial Intelligence Research Vol 6, No 2 (2022): Desember 2022
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i2.1411

Data mining is a process to support decision making in finding information patterns in the data. In this study, Association Rule Mining will be implemented as one of the data mining techniques to analyze data and assist data of scientists in compiling raw data, formulating it and recognizing various patterns through a priori algorithms. The method used in this study is the Cross Industry Standard Process for Data Mining (CRISP-DM) Method by analyzing drug use patterns in health centers. The results of the study shows that by using the apriori algorithm, it found patterns and rules of widely used drugs that will provide recommendations in supporting decision making by health centers to submit drug procurement so that they can improve the quality of health services and minimize the risk of shortages or excess drug supplies and help health centers in optimizing drug inventory management. The results of the analysis using the apriori algorithm on the combination pattern of 2 itemsets produced 2 association rules for drug use, they are "If using Amoxicillin caplets 500 mg, then you will use paracetamol" with a confidence value of 80% and "If using Dexamethasone tablets 0.5 mg, then you will use Ascorbic Acid (Vit C) tablets 50 mg" with a confidence value of 100%.

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