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Pemanfaatan Aplikasi Parental Control Sebagai Media untuk Mewujudkan Internet Sehat dan Aman Aryanti, Utami
Jurnal AbdiMU (Pengabdian kepada Masyarakat) Vol. 3 No. 1 (2023): Mei
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/abdimu.v3i1.726

Abstract

The use of the internet must be in accordance with applicable ethics and norms. The internet must be used for positive activities and not harm yourself or others. Healthy internet is the concept of using the internet to protect yourself and others from possible dangers or risks in the online world. Referring to the press release of the Indonesian Child Protection Commission (KPAI), the number of complaints related to special child protection cases in 2021 was 2,982 cases. Of these, 345 cases were related to cybercrime (internet crime). As many as 64% of internet users in Indonesia are teenagers aged 15 to 19 years, so the role of parents is very important in supervising their children's behavior when using the internet. Parental control is software (software) or equipment that allows parents to control, limit and regulate the use of the internet for children. This activity aims to educate parents regarding the use of parental control applications to supervise children and adolescents in internet use. The method used in this research is Community Based Research (CBR). Helps make it easier for parents to supervise children's internet use to avoid negative content.
Sistem Pendukung Keputusan Pemilihan Penerima Bantuan Sosial Menggunakan Metode Simple Additive Weighting Rifasya, Pramadika; Aryanti, Utami; Anwar, Moh. Taufan; Atmoko, Dwi
Jurnal Dimamu Vol. 4 No. 1 (2024)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/dimamu.v4i1.1329

Abstract

Social assistance (bansos) is one form of government program that has become the main instrument in supporting the welfare of low-income communities in Cilaengka Wetan Village to meet their basic needs. However, the main challenge in implementing this program is the selection process for aid recipients which is often done manually, so that it risks causing inaccuracy and injustice in determining recipients. This study aims to develop a Decision Support System (DSS) for the selection of social assistance recipients in Cicalengka Wetan Village using the Simple Additive Weighting (SAW) method so that social assistance recipients are right on target and ensure that assistance is given to people who really need it. The Simple Additive Weighting (SAW) method was chosen because it is able to perform criteria-based calculations with objective and transparent results. The trial results show that the developed system can provide valid recommendations and is in accordance with the conditions of prospective recipients. This research assistance is expected to be a practical solution in social distribution, not only in Cicalengka Wetan Village but also in other areas with adjustment criteria. As a further development, an integration system with web-based technology or mobile applications can be carried out to improve the accessibility and efficiency of the decision-making process.
Penerapan Data Mining untuk Menganalisis Kepuasan Nasabah BPRS Al-Ma’soem Menggunakan Algoritma C4.5 Dewi, Sofia; Salsabila, Jihan Salma; Aryanti, Utami
INTERNAL (Information System Journal) Vol. 8 No. 1 (2025)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v8i1.1388

Abstract

Customer satisfaction levels with the services provided by BPRS Al Ma’soem Bandung using the C4.5 Customer satisfaction is an important factor in influencing the running of a bank. To understand the indicators that influence customer satisfaction, it is necessary to evaluate the level of customer satisfaction with a service. This article explains the use of the classification method with the C4.5 algorithm at BPRS Al Ma'soem Bandung. Data were obtained from 406 respondents through a questionnaire covering variables such as service, facilities, ease of access, products, and trust. The results of the analysis show that the attributes of trust and suitability have the greatest influence on customer satisfaction. The resulting model has an accuracy level of 96.31%, indicating the effectiveness of the C4.5 algorithm in analyzing data. This study provides recommendations to BPRS Al Ma'soem to improve service quality, adjust facilities, and products to customer needs to maintain competitiveness in the Islamic banking sector.
Penerapan Data Mining Algoritma Apriori untuk Menemukan Pola Hubungan Status Gizi Balita Nurmalasari, Evi; Aryanti, Utami; Rachman, Tonton Taufik
INTERNAL (Information System Journal) Vol. 6 No. 2 (2023)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v6i2.885

Abstract

Malnutrition of toddlers can cause severely health problems, growth retardation, and decreased intelligence. Therefore, it is important to know the pattern of the relationship between the nutritional status of toddlers, especially against the condition of malnutrition to get information about the possible risk of nutritional coexistence problems. The purpose of this research is to apply data mining using the apriori algorithm in finding patterns of relationships betweennutritional status and to produce an accuracy level of association rules based on the value of support, confidence, and validation with the lift ratio. The results of this study are expected to generate information that can help prevent and treat malnutrition, as well as appropriate nutrition interventions. Analysis and implementation of data using the a priori algorithm method. Manual calculations are carried out using Microsoft Excell and accurate calculations with python programming. Data on the nutritional status of children under five, especially undernourished conditions will be processed to find patterns of association relationships. Determined the minimum support value of 0.1 or 10% and the minimum confidence of 0.5 or 50%. The research produces association rules in the form of association relationship patterns of nutritional status specifically malnutrition conditions (Underweight?Stunting ) with a support of 0.25 or 25% and confidence 0.57 or 57%. The rules have met the minimum support and minimum confidence values and have been validated by the lift ratio with a value > 1.
INFORMATION SECURITY RISK MANAGEMENT USING OCTAVE ALLEGRO METHOD AT UNIVERSITY Aryanti, Utami; Anwar, Moch. Taufan; Rahmawati, Tina
International Journal of Ethno-Sciences and Education Research Vol. 3 No. 4 (2023): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v3i4.506

Abstract

Information is one of the important and valuable assets for the life of an organization's business. Information management is needed to maintain the confidentiality, integrity, and availability of the information from cyber attacks. These cyber attacks can be in form of viruses, malware, phishing, Distributed Denial-of-service (DoS), fraud, and Ransomware.The education sector is a significant contributor to the increase in cyber attacks during the COVID-19 pandemic. The use of ICT in higher education must have right information securityThis study aims to Analysis the risks of information security in higher education. Identification of information security risks necessary for the organization to take appropriate preventive and mitigating actions.OCTAVE Allegro is the framework used to perform risk management in this research. This framework focuses on the information assets owned by the organization. How the asset is used, stored, transferred, occurs and how threats (threats), vulnerabilities (vulnerabilities) and disturbances can be on the asset. The results of this study are recommendations for mitigating approach for identified risks.
Pendampingan Implementasi Website Sistem Informasi PHBS Rumah Tangga untuk Meningkatkan Efektivitas Pengelolaan Data Aryanti, Utami; Anwar, Moh. Taufan; Dewi, Sofia; Naasyiah, Rifdah
Jurnal AbdiMU (Pengabdian kepada Masyarakat) Vol. 5 No. 2 (2025): November
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/abdimu.v5i2.1689

Abstract

Clean and Healthy Living Behavior (PHBS) is an important indicator in improving public health. However, the process of collecting data and fostering PHBS in households in the Cicalengka DTP Community Health Center (Puskesmas) is still done manually, often causing obstacles in data management and reporting. This community service activity aims to assist the Puskesmas in digitizing the process of collecting data and fostering PHBS through the creation of a information system website. The implementation method includes needs analysis, system design, implementation, user training, and field evaluation. The results of the activity indicate that the developed website can facilitate officers in collecting household data, monitoring PHBS indicators, and providing more structured guidance. In addition, the training activity increases officers' understanding of the use of information technology to support public health programs.