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Pelatihan Dan Pemanfaatan Teknologi Cloud Untuk Penyimpanan DiKoperasi Serba Usaha Komunitas Warga Bojong Gede (KSU KOWAGE) Ade Priyatna; Eko Setia Budi; Eva zuraidah; Sanwani; Siti Indriane Maebari; Jodi Setiawan; Agung Primahadi Asta; Damar Nugraha; Rizky Maulana Ambya
JPM: Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2023): Juli 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v4i1.1023

Abstract

The Bojong Gede Residents Community Multi-Business Cooperative (KSU KOWAGE) is a cooperative institution founded with the spirit of togetherness and a sense of desire to form a business but is constrained by limitations such as small business capital, and weak human resources. It is difficult to access information & technology as well as sources of capital. Currently, KOWAGE KSU has several products that have been marketed both offline and online, there are several obstacles related to their activities, one of which is related to storing images of several products to then make catalogs and cooperative activities which later can be distributed and used anytime and anywhere, one of the technologies that can be used for storage is using cloud technology from Google, namely Google Drive, by utilizing and using this technology KSU KOWAGE can store its products and cooperative activities anytime and anywhere, providing directly create google drive and also a cloud-based data storage method which is quite popular including Google Drive, and knowing this cloud technology starts from the utilization, use, and function of the application features, directly from each participant's cellphone, the one day workshop method
Evaluasi Pemahaman Siswa Dalam Proses Belajar Secara Online dengan Menggunakan Algoritma C5.0 Ade Priyatna; Sanwani
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 3 (2024): RESOLUSI January 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i3.1640

Abstract

Online learning is an educational process conducted through the internet. This is a new concept for students and requires adjustment. This method can impact student understanding, as each individual has a unique level of comprehension. This application was developed using the CRISP-DM methodology, which is an industry standard for data mining. Flowcharts are used to illustrate the process of creating applications and implementing algorithms, while DFDs are used to depict data flow. The data for this research was obtained from questionnaires distributed to 198 students. The research results show that the application implementing the C5.0 algorithm to determine the level of student understanding of online learning materials during the covid-19 pandemic has been successfully implemented and functions well, with a student understanding level of 60%. However, this figure is still considered low. Based on the decision tree results generated by the C5.0 algorithm, the communication attribute is the most influential factor in online learning. Therefore, to improve student understanding, an increase in multi-directional based learning is needed.
Penerapan Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) dalam Penerimaan Siswa Baru Yeni Setiani; Sanwani Sanwani; Nurul Aini; Lidya Puspita Dewi; Mesran Mesran
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3417

Abstract

Acceptance of new students is a school activity that occurs every year, even in the middle of the teaching year. This activity is the first step to improve the quality of education, namely choosing the quality of students. In general, the process of admitting new students is still done manually, namely by recording student data and the student selection exam schedule to the student data that has been accepted. This is one of the problems every year that can hinder the work of teachers and even school staff. Therefore, we need the right system to be used in schools so that it can assist in the acceptance of new students. One system that is able to solve these problems is the Decision Support System (SPK). . SPK aims to provide information, guide, provide predictions and direct users of information so they can make better decisions. In implementing the SPK, ranking methods are used so that the results obtained are more effective, such as the Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) Method. The Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method where it is expected that the normalization process in calculating the value of new student admissions. The Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method is a method which has a calculation level using minimum calculations and is very simple and practical for applied to the system. The Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method has a high level of flexibility and convenience on separating the subjective part that comes from an assessment process into the decision weighting criteria using several decision-making attributes. The final result showed that Angga Rifai Zul Fiqri ranked first with a final preference score of 1.0522, which was the highest among all candidates.
Implementasi Metode Analytical Hierarchy Process (AHP) dalam Sistem Pendukung Keputusan untuk Pemilihan Handphone Ade Priyatna; Sanwani Sanwani; Ayu Azizah
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5428

Abstract

Currently, many people experience confusion when choosing a smartphone that suits their daily activities and needs due to the vast number of brands and models available in the market. The diverse specifications and uses of smartphones often lead consumers to purchase products that do not meet their needs. To address this issue, a decision support system was designed to help buyers select the right smartphone. This research uses the Analytical Hierarchy Process (AHP) method to analyze quantitative data, enabling the determination of criteria and alternative smartphone choices that are suitable.In the process of data entry and processing, criteria and alternatives are established to facilitate the selection of a smartphone. One common challenge in designing decision models is the inability of the model to reflect all real variables, which can result in inaccurate decisions. Therefore, it is essential to design a flexible model capable of accommodating various relevant variables. Additionally, each stored model must be accompanied by detailed information and comprehensive explanations to ensure users understand the proposed decision-making process and its basis.This research can provide an effective solution in smartphone selection, offering clear and structured guidance for consumers to make more accurate decisions based on their individual needs. The research results show that the Xiaomi brand achieved a score of 0.90, indicating that Xiaomi is the most chosen brand in the best smartphone category.
Pemanfaatan Chatbot EVA dalam Meningkatkan Efektivitas Pelayanan Pelanggan pada Kopwan Atsiri Eva Zuraidah; Deasy Novayanti; Sanwani Sanwani; Besus Maula Sulthon; Ahmad Hasan Fadila; Rechal Rechal; Chintya Amelia Putri; Ahmad Rivaldo; Bunga Kartini
Journal of Social Responsibility Projects by Higher Education Forum Vol 5 No 2 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jrespro.v5i2.6133

Abstract

Atsiri Women's Cooperative is a social community organization as a forum and means of developing every member of society that grows and develops on the basis of social awareness and responsibility from and for the community in the region, especially engaged in medium and small businesses. While the membership of the Atsiri Citayem Cooperative, hereinafter referred to as the Cooperative Mothers, is every member of the community. Atsiri Women's Cooperative, Established on December 11, 2011, is located at Jl. Jalan Sedap Malam Raya no 45 Rt 01 RW 12 Atsiri Permai Housing, Ragajaya Village, Bojonggede District. Bogor Regency. Postal Code 16920, engaged in the field of All Kinds of Business. The problem of limited understanding of social media management that has not been carried out in optimization in the UMKM management environment. The use of social media used is still manual for sales information. Artificial intelligence has become the main focus in the development of computer systems that have the ability to resemble the function of the human brain. One of them is the development and utilization of Chatbot Ecosystem Virtual Assistant (EVA) as a tool to help work in various fields and in Kopwan Atsiri, One of which is through further training activities on the use of information technology, online marketing, business management, and other relevant aspects. So that the training and socialization carried out do not stop only in the scope of meetings, but can also be applied by the community in their daily business activities. In this context, the training aims to evaluate the effectiveness of the type of Chatbot Ecosystem Virtual Assistant (EVA), in providing customer service at Kopwan Atsiri. Through the implementation of direct implementation of practicing Chatbot Ecosystem Virtual Assistant (EVA), which is the most efficient in the context of customer service. These results are expected to provide valuable insights for the development and implementation of Chatbot Ecosystem Virtual Assistant (EVA) in improving the effectiveness of customer service, as well as one solution in increasing knowledge, and making it easier to get fast information and provide a more accurate and strong understanding of efficiency.