Garuda - Garba Rujukan Digital

Optimalisasi Prediksi Penjualan Produk Herbal Menggunakan Metode Monte Carlo dalam Meningkatkan Transaksi Nova Hayati
Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 4 (December 2020)
Publisher : SAFE-Network

Herbs are a product that is in great demand by the public. With so many enthusiasts of herbal products, there is a need for product availability to increase sales transactions for these products. To increase sales transactions for these products, one process that can be done is to predict the sales of herbal products, with data used from January 2018 to December 2019 at the An Nabawi herbal shop. The prediction process is carried out using the Monte Carlo method and to simplify the prediction process a web-based system with the PHP programming language is implemented to make it easier. With the Monte Carlo method used in this study to predict sales of herbal products so that the leadership can use it to make decisions on the availability of herbal products in the shop. The sales prediction results obtained from the Monte Carlo simulation process with an accuracy rate of 87.91%. In this way, the Monte Carlo method can be applied to predict the future sales of herbal products and can be used by store leaders to make decisions regarding the availability of herbal products.

Analisa Algoritma K-Means Untuk Menentukan Strategi Marketing Bias Yulisa Geni; Okto Kurnia; Nova Hayati; Muhammad Thoriq; Kiki Hariani Manurung
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.7085

This research explored the application of the K-Means algorithm in the marketing field to increase the effectiveness of ABC Cosmetic Store marketing strategies. Sales data can be processed using data mining to be used as decision making at ABC Cosmetic Stores. One of the techniques in data mining is Clustering, which is used to categorize data. The K Means algorithm is used to identify hidden patterns in the data. By using bodylotion sales data, this research aims to classify consumers into several groups. The data group in question is sales data that is of great interest to consumers and data that is of little interest to consumers. The results of clustering using k=2 show that cluster 1 consists of 5 products with product transactions sold being 1295 products. In this case, it shows that cluster 1 is a group of product data whose quantity sold has increased and can provide profits at the ABC Cosmetic Store. Meanwhile, cluster 2 has 1 data with 214 product transactions sold and is grouped as data with products that are less popular with consumers so there is no need to increase the stock available in the warehouse by ABC Cosmetic Shop. The results of this research show that K Means-based customer segmentation can increase personalization in marketing communications and increase the efficiency of marketing resource allocation. This study provides new insights into how data mining techniques can be involved in marketing strategies to determine product availability for the future.

Sistem Informasi Pengenalan dan Pendaftaran Santri Berbasis Website pada LKP Tar-Q Padang Hayati, Nova
Insearch: Information System Research Journal Vol 2, No 02 (2022): Insearch (Information System Research) Journal
Publisher : Fakultas Sains dan Teknologi UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/isrj.v2i02.4417

Sistem yang telah dijalankan pada LKP Tar-Q Padang masih menggunakan proses manual dalam pendaftaran dan pengelolaan data yang masih belum rapi. Sehingga memepersulit dalam proses penyimpanan data serta arsip santri dan pengajar secara keseluruhan. Untuk proses pembuatan laporan pendaftaran santri baru membutuhkan waktu yang lama dengan menggunakan data manual. Dengan hal itu website LKP Tar-Q Padang ini bertujuan untuk membantu dan memudahkan LKP Tar-Q dalam proses pengenalan dan pendaftaran serta proses seleksi dan pengolahan data santri dan pengajar di LKP Tar-Q Padang. Metode yang digunakan dalam proses seleksi yaitu SAW ( Simple Addtive Weight ). Alat bantu perancangan yang digunakan untuk pembuatan sistem ini adalah UML (Unified Modeling Language), dengan menggunakan software astah, bahasa pemrograman yang digunakan yaitu PHP serta database MySQL dan dengan server Mowes portable II. Berdasarkan uraian di atas, akan dirancang sebuah sistem berbabis website untuk pengenalan dan pendaftaran serta seleksi pada LKP Tar-Q Padang sehingga dapat mempermudah LKP dalam proses kinerja.

SISTEM PENUNJANG DALAM PENGAMBILAN KEPUTUSAN PEMBERIAN REWARD DOSEN TERBAIK MENGGUNAKAN METODE TOPSIS Hayati, Nova; Syaputra, Aldo Eko; Eirlangga, Yofhanda Septi
J-Icon : Jurnal Komputer dan Informatika Vol 11 No 2 (2023): Oktober 2023
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v11i2.12390

Lecturers are professional teaching staff who provide all their knowledge and loyalty through teaching students, research and community service. To increase the performance and loyalty of lecturers to tertiary institutions, this is done by giving rewards to the best lecturers. In making the decision to give rewards to lecturers, there are several steps and criteria that must be met, because the large number of lecturers and criteria causes the assessment team to experience difficulties in processing the criteria data and lecturer data who are entitled to the reward, so a method is needed that is implemented into a computerized system that will facilitate the work of the assessment team in data processing and the resulting data to be accurate and reliable. The data applied in this research is data from permanent university lecturers and the conditions set by the university. The purpose of this research is to maximize the performance of the assessment team in processing criteria data and university permanent lecturers to get the best lecturers who are entitled to receive rewards using the TOPSIS method. The decision in determining the alternative to giving rewards to the best lecturers, by selecting 3 lecturers as recipients of the best lecturer rewards as an alternative is the result of this study. From these results, there are influential criteria, namely Research, Teaching, and Attendance.

Prediction of the Number of New Students in the Information Systems Study Program at Adzkia University Using the Monte Carlo Method: Prediksi Jumlah Mahasiswa Baru Program Studi Sistem Informasi Universitas adzkia Menggunakan Metode Monte Carlo Prima, Wahyu; Eko Syaputra, Aldo; Sapriadi, Sopi; Septi Eirlangga , Yofhanda; Hariani Manurung, Kiki; Hayati, Nova
Journal of Vocational Education and Information Technology (JVEIT) Vol. 5 No. 1 (2024): Vol. 5 No. 1 (2024): JVEIT
Publisher : Lembaga Pengembangan dan Inovasi Universitas Dharmas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56667/jveit.v5i1.1458

This research aims to predict the number of new students in the Information Systems Study Program at Adzkia University using the Monte Carlo method. The Monte Carlo method was chosen because of its ability to handle variability and uncertainty in historical student enrollment data. The data used in this research is data on students who registered from any pathway during the last 3 years. The simulation process is carried out by creating a probabilistic model from historical data and iterating until a prediction distribution is obtained. The research results show that the Monte Carlo method provides fairly accurate estimates of student predictions for the following year, namely (numbers) which can be used for strategic planning for new student admissions in the future. In conclusion, the use of the Monte Carlo method can be an effective tool in predicting the number of new students and assisting universities in making better decisions regarding student admissions.

Sistem Pakar Diagnosa Gaya Belajar Mahasiswa Menggunakan Metode Forward Chaining Sapriadi, Sopi; Eko Syaputra, Aldo; Septi Eirlangga, Yofhanda; Manurung, Kiki Hariani; Hayati, Nova
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i3.381

Sistem pakar merupakan bagian dari pemanfaatan teknologi sehingga menjadi salah satu upaya dalam mendukung berbagai aktivitas manusia. Salah satu cara di mana sistem pakar dimanfaatkan adalah dlam konteks pendidikan. Gaya belajar adalah kecendrungan individu untuk menambil pendekatan khusus dalam proses pembelajarannya, dengan tujuan memastikan bahwa mereka bertanggung jawab dlam menemukan metode belajar yang cocok baik untuk lingkungan perkuliahan maupun materi kuliah yang harus dipelajari. Terdiri dari tia tipe gaya belajar, yakni visual, auditori, dan kinestetik. Walaupun tiap individu dapat mengunakan ketiga modalitas ini tergantung paa situasi, tetap terdapat kecendrungan yang lebih dominan pada salah satu diantaranya. Sehingga dosen harus membuat pembelajaran seefektif mungkin untuk meningkatkan pembelajaran yang seefesien mungkin. Penelitian ini bertujuan untuk melihat kemampuan mahasiswa dalam pemahaman gaya belajar dan pemahaman mahasiswa dalam proses belajar. Oleh karena itu, penelitian ini juga dapat berkontribusi dalam membatu Universitas Adzkia dalam mengambil keputusan yang sesuai untuk meningkatkan mutu pembelajaran di masa mendatang. . Untuk mengatasi sejumlah tantangan yang telah dijelaskan di atas, diperlukan penerapan sistem pakar yang mampu mengambil keputusan sebagaimana yang dilakukan oleh para ahli. Dalam konteks sistem pakar ini yang digunakan adalah metode forward chaining. Metode ini melibatkan pelacakan ke depan, dimulai dari fakta-fakta yang ada hingga mencapai kesimpulan. Dengan pendekatan ini, tujuan akurasi dapat dicapai. Hasil dari hal ini adalah dapat mendeteksi gaya belajar dengan tingkat kesamaan dikategorikan 90%.

Penerapan Teknologi WebRTC pada Aplikasi E-Learning Sakinah, Putri; Thoriq, Muhammad; Hendra, Yomei; Hariani Manurung, Kiki; Hayati, Nova
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.492

Perkembangan Teknologi Informasi pada era globalisasi telah meningkatkan produktifitas berbagai aktivitas manusia bagi setiap bidang dan pekerjaan salah satunya terhadap dunia pendidikan. Inovasi multimedia pembelajaran dihasilkan dari perkembangan teknologi yang dapat membantu proses belajar mengajar menjadi lebih fleksibel dengan adanya produk teknologi berbasis aplikasi E-Learning. Metode pembelajaran menggunakan sistem e-learning dapat membantu pendidik dan pelajar dalam distribusi materi pembelajaran dengan internet yang saling terhubung dimana saja dan kapan saja sehingga dapat memaksimalkan waktu pembelajaran di ruang kelas yang terbatas. Dengan adanya perkembangan teknologi, aplikasi e-learning dapat dikembangkan menjadi lebih komunikatif . WebRTC merupakan salah satu teknologi yang dapat membuat aplikasi e-learning memiliki fitur/menu yang dapat memiliki akses komunikasi secara real time dari penggunanya. Tujuan dari penelitian ini adalah untuk menerapkan penggunaan sebuah aplikasi E-Learning yang memiliki teknologi WebRTC untuk penunjang fasilitas belajar mengajar dari jarak jauh agar bisa tetap terlaksana.

Optimalisasi Prediksi Penjualan Produk Herbal Menggunakan Metode Monte Carlo dalam Meningkatkan Transaksi Hayati, Nova
Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 4 (December 2020)
Publisher : SAFE-Network

Herbs are a product that is in great demand by the public. With so many enthusiasts of herbal products, there is a need for product availability to increase sales transactions for these products. To increase sales transactions for these products, one process that can be done is to predict the sales of herbal products, with data used from January 2018 to December 2019 at the An Nabawi herbal shop. The prediction process is carried out using the Monte Carlo method and to simplify the prediction process a web-based system with the PHP programming language is implemented to make it easier. With the Monte Carlo method used in this study to predict sales of herbal products so that the leadership can use it to make decisions on the availability of herbal products in the shop. The sales prediction results obtained from the Monte Carlo simulation process with an accuracy rate of 87.91%. In this way, the Monte Carlo method can be applied to predict the future sales of herbal products and can be used by store leaders to make decisions regarding the availability of herbal products.

Decision Support System For Student Activity Unit Selection Using Certainty Factor Method Manurung, Kiki Hariani; Hayati, Nova; Shofia, Alima; Syaputra, Aldo Eko
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 3 (2024): Volume 4 Issue 3, 2024 [August]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i3.794

In various fields, including the selection of Student Activity Units on campus, Decision Support Systems (DSS) have become an important tool to assist the decision-making process. SPK provides information and analysis that is structured and easy to understand, thereby helping decision-makers to choose SMEs that best suit their interests, talents, and goals. Choosing the right Student Activity Units for students can contribute to the development of their personal qualities and help develop a variety of social and professional skills. Using the Certainty Factor method in creating a Decision Support System to assist students in choosing Student Activity Units that are most relevant to their desired interests and talents. The Certainty Factor method is an artificial intelligence technique that can overcome uncertainty in data and provide a level of confidence in every decision. Based on trials carried out on several interest and talent characteristics using the Certainty Factor method, percentage results were obtained with a confidence level of 80.26%. Based on the test results, it can be concluded that the expert system created can make it easier to determine talent interests that match student desires.

Sosialisasi Keamanan Cyber Kepada Siswa Sekolah Paket C : Menjaga data dan Privasi Fajar Maulana; Yomei Hendra; Muhammad Thoriq; Yofhanda Septi Eirlangga; Aldo Eko Syaputra; Kiki Hariani Manurung; Nova Hayati; Muhammad Fauzan Mufid
Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 01 (2025): Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV. Devi Tara Innovations

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

Community service is one of the obligations of lecturers in implementing the Tri Dharma of Higher Education, aimed at assisting and supporting activities within the community. One such activity is carried out at PKBM Suka Maju Sejahtera (SMS) Padang, a non-formal educational institution focusing on educating disadvantaged communities through Programs A, B, and C. In the increasingly digital era, students face various challenges related to cyber security, such as threats to personal data and a lack of understanding about privacy protection in the online world. The low awareness among students about these threats increases the risk of misuse of personal information. Therefore, the community service conducted by lecturers from the Information Systems Study Program of Universitas Adzkia aims to provide students of the PKBM SMS Padang Program C with knowledge about cyber security, data protection, and privacy. This activity is expected to help students become more prudent in using the internet and understand how to effectively protect their personal information.

Title

Found 15 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 15 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 15 Documents
Search