Aplikasi Mobile Pengaduan Kekerasan Dalam Rumah Tangga

Data on domestic violence (KDRT) sourced from the PPA symphony shows there were 12,185 reported domestic violence cases in 2018. Then in 2019 there were 6,009 reported domestic violence cases. Many cases of domestic violence that are not recorded and reported are caused by victims having difficulty in making complaints. Therefore, researchers designed a mobile-based complaint application that helps victims of domestic violence in the complaints process. In this study, researchers used a waterfall model software development method. This research resulted in a domestic violence complaint application that will facilitate victims to make complaints without having to come to the police station, so that the time needed is more efficient and effective.

Aplikasi Pengenalan Jenis Narkoba Berbasis Android Pada Badan Narkotika Nasional Kota Pagar Alam

Based on observations at the National Narcotics Agency (BNN) Pagar Alam it was found that increased drug abuse among adolescents and their lack of understanding of the dangers posed when consuming drugs. To reduce drug abuse, BNN promotes information on the types of drugs, their impact and prevention of abuse. However, the socialization process incurred considerable costs, was less effective and the lack of interest in the participants to read the brochure because it was monotonous. This research resulted in the introduction of an Android-based type of drug application on BNN Pagar Alam. The system development method is the SDLC method with the waterfall model. With this application can provide information about the types of drugs and how to prevent them.

Redundancy Gateway Menggunakan Metode Failover dan Load Sharing Gateway

Failure to transfer data packets on a network becomes a big threat, both caused by link failures and heavy traffic loads. To maintain stability in the network, the VRRP gateway redundancy protocol is applied. From the results of the research conducted, it takes an average time to failover for 3.75ms from the master router to the backup router and an average packet loss that occurs as many as 3 packets and the average time needed to failover from the backup router back to master router for 1.37ms and 1.5 packet loss occurred. The results of load sharing research are able to make 1 router device as a master router in 2 VRID at once. Implementing both Failover and Load Sharing methods can improve connectivity in the network by ensuring connectivity can run stably and equally. Failover is used as a backup gateway redundancy and load sharing is used to divide the gateway load equally.

Penggunaan Alat Mewarnai Gambar Bagi Pemula Menggunakan Metode AHP dan Weight Product

The process of selecting a drawing coloring tool in one of the Cianjur city painting studios takes a long time, because the child must first try each type of drawing coloring tool. based on this problem discussed about the selection of coloring tools for beginners by using the Analytic Hierarchy Process (AHP) and Product Weight (WP) methods. AHP test results obtained five criteria, namely comfort, convenience, safety, color quality and product quality of the ten recommended criteria based on observations and interviews. The five criteria are used as criteria for determining the selection of drawing tools for crayons, colored pencils, watercolors, markers, and oil pastels. the final result of the calculation of the Analytical Hierarchy Process (AHP) method shows that crayons are the most important alternative with a weight value of 0.20. while the test results of the Weighted Product (WP) method conclude that the brand code V4 is the crayon product brand chosen because the brand code V4 has the highest alternative value of the other ten products namely V4 = 0.118.

Sistem Pendukung Keputusan Penetapan Mustahiq Zakat Usaha Produktif

This research was conducted at the National Amil Zakat Agency (Baznas), Solok Regency, West Sumatra. The purpose of this study is to assist Baznas officials in selecting and determining someone who is entitled to receive productive business zakat so that the zakat given is right on target. The problem that occurs is the process of selection and determination of someone who is entitled to get productive business zakat not using a computer-based decision support system so that the productive business zakat given is not yet on target. The method used in this study is the Simple Additive Weighting (SAW) method. The results of this study are an application that can help Baznas Solok District officials. This application is used to select recipients of productive business zakat and determine productive business zakat recipients based on predetermined criteria so that the recipient is in accordance with the intended target.

Tempat Sampah Pintar Dengan Logika Fuzzy Berbasis NodeMCU

This research aimed to design a smart dustbin. The smart dustbin was made by using ultrasonic sensors to detect the object and the volume of trash height. NodeMCU was used as data processing center, and LCD used as information output. The dustbin also using fuzzy logic to produce the volume status output of the trash height. It’s starting from empty to fully loaded. The janitor also can do re-check of the dustbin’s volume efficiently and effective through web application. Based on the testing result, the conclusion of the research is the sensor system has accuracy of precision rate of 93,4.

Algoritma K-Means Untuk Clustering Rute Perjalanan Wisata Pada Agen Tour & Travel

Government support for the development of tourism has an impact on the growth of business opportunities for travel agents. Along with the advancement of the domestic travel sector, tour & travel agent business forms have sprung up that influence business competition between travel agents. The problem with tour & travel agents is the lack of information about tourist routes that are most in-demand by customers. To solve this problem the method used to classify the most desirable travel routes using the method of data mining is clustering with the K-Means algorithm. Based on the results of the study found three groups of travel routes, namely the most desirable travel routes by 20%, the trips that are in demand by 30% and less desirable trips by 50%.

Model Prediksi Penempatan Magang Siswa SMK menggunakan Teknik Association Rule Mining

Insternship activity is one of the core activities of every Vocational School (SMK) as the purpose of this school is to conduct education at the level of work-oriented readiness. Every SMK graduate is expected to be better prepared to enter the industrial world. However, in fact there were gaps that resulted in the unpreparedness of students after graduating from school. This research identified and analyzed the placement of student internships. The aim was to find an insternship placement pattern in order to get an overview and recommendation of an appropriate internship according to students abilities. The technique used was the association rule mining, a technique of the data mining method that was useful for uncovering the rules that were correlated to each other so that they can better organize and predict the internship placements. The results showed that the association rule mining could be applied to analyze student performance and predict internship placements in the future. This prediction could be a consideration for the teacher to determine the subjects that need to be improved to prepare students for internships.

Prediksi Tingkat Kriminalitas Menggunakan Fuzzy Logic

Crime is an act of violation of the law that damages morals and social life in society. The purpose of this study is to predict the level of crime so that the results can be considered by related parties. The decisive factors in predicting crime rates in Batam City are unemployment, age and population. Sources of data were obtained from the statistical center agency and the Batam City Barelang Police. To do the crime rate process, use fuzzy logic with the Mamdani method. The input variable consists of unemployment, age and population, while the output is the crime rate. The stages in the processing are done by the Mamdani fuzzy logic that is determining the formation of the fuzzy set. This study produces prediction of crime in Batam City at position 49.5 which is in the medium range, with a population of 50 as inputted, 60 unemployment, and 50 years of age.

Penentuan Penerimaan Mahasiswa Baru Pascasarjana Menggunakan Simple Additive Weighting (SAW)

The decision-making system for the selection of new postgraduate student admissions which is carried out manually requires 7 days to submit the decision results. The selection is very important, so that the quality of input (input) of prospective students can be maintained in accordance with established standards. Therefore we need a system that can help in the decision making process quickly, precisely, and accurately. The purpose of this study is to help postgraduate master's study programs in conducting the selection of prospective graduate students in accordance with their abilities and disciplines. The method used in data processing using the Simple Additive Weighting (SAW) method, is a method of weighting the sum of the criteria values ​​of each alternative. The results of the decision in the form of ranking the number of values, based on the passing grade value that has been set> 0.70 declared passed, or <0.70 declared not passed.