Claim Missing Document
Check
Articles

Found 6 Documents
Search
Journal : Jurnal Mantik

Queuing System Design On Android-Based Bank Teller Method Using Multi Channel - Single Phase: Queuing System Design On Android-Based Bank Teller Method Using Multi Channel - Single Phase Arman Mubarokh; Mohammad Iwan Wahyuddin; Sari Ningsih
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (380.729 KB)

Abstract

This research was conducted because of the frequent problems of queuing at company services such as banks, so that there are things that are not profitable between customers and banks. This problem Generally Occurs Because it is the caused by the need for services performed by customers that are exceeding capacity, the which makes the customer have to wait in line for some time to be served. The time-consuming queuing system will harm both parties for the customer and the bank. The purpose of this research is to create a mobile-based online queuing system using the mobile web applications and to get a queue number, so that customers no longer have to come in advance to the queue and can use the time to queue practically. This application is expected to reduce the long queues on bank services and the service process works better and more efficiently. It is hoped that this system will provide benefits and impact on the satisfaction of customers and the bank. This system implements a single phase roomates multi-channel method can use more than one teller and only has one queue number. Thus Spake the teller can serve the queue number without having to wait for other tellers to serve the customer, so that it can reduce the queue that Occurs in the bank.
School Information Three Dimensional Animation Using Blender Version 2.79: School Information Three Dimensional Animation Using Blender Version 2.79 Agam Beny Styawan; Nurhayati Nurhayati; Sari Ningsih
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (591.913 KB)

Abstract

With the development of the movie and gaming industry the which is currently a field of motion capture has experienced rapid growth Also supports the development of the film and gaming industry. Captured motion in animation, it is important to create characters that move realistically, in a situation that is not practical or too dangerous for an actor. To Obtain the natural motion with the motion capture technique is still very low, due to the availability of equipment and application of human motion capture technology in the world of animation is still very expensive in terms of both hardware and software used. One type of human motion capture system that Utilizes optical motion capture cameras. The purpose of this study is to Obtain a realistic movement and shorten the time penganimasian for 3D animation filmmaking.
Product Selection Decision Support System Insurance For Prospective Customers using AHP and TOPSIS: Product Selection Decision Support System Insurance For Prospective Customers using AHP and TOPSIS Ridwan Baharudin; Septi Andryana; Sari Ningsih
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (810.518 KB)

Abstract

In determining the insurance product common problems faced by insurance agents and prospective customers, namely the length of the process of determining customers' products and a lack of understanding of the products offered. It required a system that could be used by an insurance agent in the product selection process in accordance with the criteria of the prospective customer. This study aimed to design a decision support system for the selection of insurance products by using AHP and TOPSIS. The system is built to produce perangkingan insurance products according to the criteria of the prospective customer, ie, age, income, purpose, sex, smoking, and menika status. CMS system accuracy testing is done by comparing the output of the system by manual calculation process which is known there are differences in the results.
Sea Surface Monitoring System as a Support for Rob Mitigation Using Wemos D1 Microcontroller Based on Internet of Things Ariwirawan Djali; Iskandar Fitri; Sari Ningsih
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1210.076 KB)

Abstract

Rob is a flood disaster that is generally caused by the flow of strong water that rises to lower land. In other cases, the occurrence of tides is due to the meeting of tides with the flow of the river so that the overflow of water into the mainland. Therefore, to support the mitigation of tidal disasters, researchers took the initiative to design a water level monitoring tool to provide early warning information about tidal disasters in real-time. The design of the tool uses an ultrasonic sensor and a Wemos D1 R1 microcontroller as a prototype of seawater level detection devices, then sensor data will be sent to thingspeak to be monitored in real-time so as to produce output in the form of warning notifications via telegram on smartphones and social media information on Twitter and Facebook. The results of testing the system and tools are able to work as expected. When the sensor reads the water level between 26 <35cm it will be alerted to a telegram alert with a delivery time of 17 seconds, and the system will automatically post warning information via Facebook with a duration of 10 seconds and Twitter for 13 seconds. However, if the water level is <25cm, the hazard notification will appear continuously every 16 seconds by telegram. The results of testing the sensor data accuracy there is a difference of an average error value of 3.68cm with an error percentage of 7.7%.
Design and Implementation of the External Quality Assurance System Application Case Study of the National University Quality Assurance Agency: Design and Implementation of the External Quality Assurance System Application Case Study of the National University Quality Assurance Agency Ahmad Deni Maulana; Mohammad Iwan Wahyuddin; Sari Ningsih
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (880.79 KB)

Abstract

This study aims to describe the implementation of the application of the External Quality Assurance System (SPME) case study of the National University Quality Assurance Agency. In this case the SPME application is managing website-based document management so that it can support SPME performance. Data collection is done by qualitative methods, namely through observation, interview, and documentation. The results of the study are as follows (1) Campus can implement an external quality assurance application system, (2) In implementing the system, the data and information used are correct and accurate so that it can support SPME activities in the campus environment, (3) All activities implementing the external quality assurance system can be documented.
Prediction of Customer Churn in the Banking Industry Using Artificial Neural Networks: Prediction of Customer Churn in the Banking Industry Using Artificial Neural Networks Willi Akbar Satria; Iskandar Fitri; Sari Ningsih
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Abstract

The Artificial Neural Network (ANN) is an architect in deep learning inspired by how the human brain works. As the name suggests, this technique works like a biological neural network possessed by a living creature, by accepting input data, processing it in a node/neuron, and displaying it in the output. ANN works by utilizing the large number of layers and the number of existing nodes/neurons to perform tasks, such as performing feature extraction, pattern recognition, regression, and classification. In this journal ANN's architect was used in the design of deep learning model, to solve classification problem, in case of banking churn prediction. The number of layers (layers) used by 4 layers, namely input layer, 2 hidden layer, and output layer with the number of nodes/neurons in sequence as much as 10.6, 6, 1. The final result is a model that is already (ready) deployed into a web-based application that can predict the churn (banking) with an accuracy of 84% on the customer's input data
Co-Authors Achmad Pratama Rifai Adinta, Brema Adisti Suryaningtyas Putri Wirawan Aditya Nur Rohman Aditya Nuryudha Iriandi Agam Beny Styawan Agung Triayudi Ahmad Deni Maulana Ahmad Muslih Mardia Ahmad Rafiansyah Fauzan Ahmad Rifqi Alfin Syaifudin Alfin Syaifudin Alica Dwi Fahira Amran Koto, Eryus Andrianingsih Anis Supriatin Ariana Azimah Arie Gunawan Arie Gunawan Aris Gunaryati Ariwirawan Djali Arman Mubarokh Asrul Sani Azhiman, Muhammad Fauzan Bagas Dwi Ardianto Bayu Anggara Bayu Yasa Wedha Bayu Yasa Wedha Budyarti, Sisca Chuy Mandala Putra Cintia Marito Sihombing Deny Hidayatullah Deny Hidayatullah Deny Hidayatullah Desmana, Satriawan Dhema, Salestinus Petrus Dhieka Avrilia Lantana Dhieka Avrilia Lantana Dicke Rifki Fajrin Dinda Nurkhaliza Putri Djoko Widodo Eky Pambudi Syiamtoni Endah Tri Esti Handayani Eri Mardiani Eri Mardiani Erina Rahmazani Fachry, Fachry Fajrin, Dicke Rifki Fauziah Fauziah Fauziah Ferdiansyah Ferdiansyah Ghina Rahma Guon Fernando Tarimakase Guridno, Ciptoningaji Handayani, Endah Tri Esti Hasbulloh Hasbulloh Hasbulloh, Hasbulloh Hindarto, Djarot Imelta Natalia Ginting Indra Lukmana Ira Diana Sholihati Iriandi, Aditya Nuryudha Irmawati Irmawati Iskandar Fitri Iskandar Fitri Iskandar Fitri, Iskandar Junior, Reza Phahlevi Keysha Belynda Tyva Panggabean Lili Dwi Yulianto Lombu, Azzaleya Agashi Mandala Anugrah Putra Maraghi Agil Prabowo Mardia, Ahmad Muslih Mardiani, Eri Moh. Iwan Wahyuddin Mohammad Iwan Wahyuddin Muhammad Mustaqim Muhammad Nurdin Muhammad Rangga Nandila, Alisyafira Sayyidina Nguyen, Huu Tho Nur Hayati Nur Hidayah, Camelia Nur Rahmansyah Nur Rahmansyah Nurfaiz, Kelfin Nurhayati Nurhayati Pamungkasari, Panca Dewi Panca Dewi Pamungkasari Penchala, Sathish Kumar Perdana, Muhammad Rizky Prasetyo, Yoga Dwi Putro, Prayogo Dwi Cahyo Rahmansyah, Nur Ratih Titi Komalasari Ratih Tri Lestari Reynaldo, Yohanes Reza Phahlevi Junior Ridwan Baharudin Riyantoro Riyantoro Satria Putra Putra Septi Andryana Shalihati, Ira Diana Shinta Dwi Rahayu Sholihati, Ira Diana Sifonne Adi Wijaya Suhatmojo, Guing Tri Syaiful Syaiful Syiamtoni, Eky Pambudi Tegar Budiman Titih Aji Kurniawan Tri Waluyo Trie Widiarti Ningsih Ucuk Darusalam Ulfiah, Ulfiah Wedha, bayu Yasa Widayaka, Elfady Satya WIJANARKO, SIGIT Willi Akbar Satria Winarsih Winarsih Winarsih Winarsih Wulandana, Nabila Puspita Yauma, Alfath Yohanes Reynaldo Yulianto, Lili Dwi Yuni Latifah Yusriana Chusna Fadilah