Design and Development of Android-Based Indoor Wi-Fi Site Survey Application

In the indoor wireless network technology, it is found that there are many disturbances such as interference with LOS (Line of Sight), improper access point position, and low signal strength. To overcome these disturbances, wireless network optimization can be done by conducting a survey or analysis of the coverage area and quality of service. This analysis can be done by using an application, however available applications are mostly desktop applications, which makes surveying the indoor wireless network less efficient. This study discusses the design and development of mobile applications that can be used to analyze Wi-Fi networks in an indoor environment which can provide information about the coverage area of ??a Wi-Fi network. The application development uses the PDR (Pedestrian Dead Reckoning) RSSI (Receive Signal Strength Indicator) classification method. Application testing was carried out using two different scenarios, where in the first scenario the Wi-Fi network source was placed in the living room area, while in the second scenario the Wi-Fi network source was placed in the bedroom area 2. The result of the test carried out is the application can provide information regarding the coverage area of the signal from the two positions of different Wi-Fi network sources in a heatmap format that can be easily understood and can be used to optimize Wi-Fi networks in the future. Keywords : Android Application, Wireless Network, Sensor, Network Survey

Reengineering of Manufacturing Business Process Utilising the Manufacturing Module of an ERP Application

The significant change in the consumption pattern of Indonesia’s modernising society––further intensified by the Indonesian Government’s plan to push towards the era of the Industrial Revolution 4.0, has fostered the need for manufacturing companies to create newly automated processes and make the transition to become a digitalised business entity. Enterprise Resource Planning is a software that enables the creation of integration and automation of business processes between various departments within a company, thus creating an effective business strategy. The data that has been acquired from research at a poultry processing company are then being mapped into the ERP software of Odoo V12.0, therefore creating new sets of re-engineered business processes. There are seven newly proposed reengineering business processes––in which only concentrate on the production and technical department within the particular company, by utilising the manufacturing and maintenance modules. The re-engineered business processes are assessed using the Technology Acceptance Model theory, to measure its usability and practicality, which generates the score of Likert’s interpretation above the accepted standard of 1340 and 1227, for both the manufacturing and maintenance modules respectively. Keywords: Business Process Reengineering, Enterprise Resource Planning, Manufacturing Process, Odoo, Technology Acceptance Model.

A Comparison Between Backpropagation, Holt-Winter, and Polynomial Regression Methods in Forecasting Dog Bites Cases in Bali

Rabies is a zoonotic disease that is usually transmitted to humans through animal bites. It can cause severe damage to the central nervous system and is generally fatal. Dog bite cases are considered the leading cause of rabies transmission in Bali. The government's preventive action is expected to reduce the problem of increasing the number of dog bite cases so that it does not spread quickly and cause casualties. Data mining is an attempt to extract knowledge from a set of data. The use of data mining in this study is to forecast the number of dog bite cases in Bali. Forecasting predicts what will happen in the future based on relevant data in the past and placing it in a mathematical model. Data mining methods used in forecasting dog bite cases are backpropagation, holt-winters, polynomial regression methods. This forecasting aims to help the government predict dog bite cases in the coming period to prepare appropriate countermeasures. Forecasting is done using data on bite cases every month in Bali province for five years, from 2015 to 2019. Dog bite case data is divided into four datasets for each attribute, namely data on the number of dog bite cases, the number of vaccinations, the number of male deaths, the number of female deaths. The four datasets are divided into training data and testing data to share 80% training data and 20% testing data. The results obtained are that the backpropagation method is better at predicting dog bite case data with an average MAPE error rate of 11.59%, while the holt-winters method has an average MAPE error rate of 16.05%, and the polynomial regression method has an average MAPE error rate of 19.91% Keywords : Dog Bites, Rabies, Forecasting, Backpropagation, Holt-Winter, Polynomial Regression

Cloud-Based Online Tutoring Information System (BIMBELOL)

Tutoring is a guidance activity in terms of finding appropriate learning methods and overcoming learning difficulties. Generally, every tutoring process is carried out at the tutoring place. The general tutoring process can have a less effective and efficient impact during extreme weather and pandemics. Extreme weather and pandemic have resulted in delays to the end of the tutoring process. Problems that arise can be overcome by designing a system that can make the tutoring process more efficient and effective during extreme weather and pandemics. A cloud-based online tutoring information system (BIMBELOL) is a system that can help any tutoring process to be more efficient and effective. The use of cloud technology in making the system can help every tutoring process be carried out online. Testing of 40 respondents and black-box testing carried out on the system shows that each tutoring process has been successfully implemented.

Improvement of MSME Sales and Capital Management through a Website-Based Marketplace System

Micro, Small and Medium Enterprises (MSMEs) have a good enough potential to overcome poverty, because they have an absorption contribution of 99.45 percent. MSMEs can be developed by utilizing e-marketplaces, but the existing marketplaces have not been able to solve the problems faced by MSMEs. One of the problems faced by MSME actors is difficulty in accessing capital. In general, MSME capital is obtained from the bank, but MSME actors are burdened by the need for collateral to apply for loans. Based on these problems, a marketplace information system for MSME products was built with peer-to-peer lending features that can help MSMEs do product marketing as well as apply for loans on easy terms and without any collateral. Testing the system with the black box method shows that all features are functioning properly and in accordance with the expected functionality.Testing with the acceptance testing method for MSME actors obtained an average score of 89.25%, so it can be concluded that the system is acceptable and in accordance with the needs of MSME players in Gianyar Regency.

Decision Support System for Tour Package Recommendation in Bali Using BWM-MARCOS Method

Bali is one of the provinces with profitable tourism opportunities. It has led to many businesses related to tourism, which is a travel agent. Travel agents in Bali usually offer variety of tour packages with different prices and specifications. The problem experienced by tourists in determining tour packages is that the price of tour packages is quite high and does not match the tourist budget. In addition, the schedule of visits from tour packages is also inflexible. This problem can be overcome by making a decision support system for forming tour packages. This study uses the BWM method to determine each criterion’s optimal weight and the MARCOS to rank alternative tourism objects that will form a tour package. Testing results using confusion matrix get an accuracy value of 74.19%, precision of 81.25%, recall / sensitivity of 72.22% and specificity of 76.92%.

Prototype Design of Bukaloka Mobile Marketplace Application Using Five Planes Method

Bukaloka is an application from Bali which is engaged in tourism regarding e-vouchers. The e-voucher service provided by Bukaloka allows users to easily buy and exchange e-vouchers without the need to print vouchers. The Bukaloka Marketplace application is not yet available for the mobile platform, so it does not facilitate access for mobile users. User Experience design is needed to facilitate application development, as well as user acceptance. The User Experience design method used is Five Planes so that the basic foundation that produces a prototype with a high fidelity level can be tested to resemble the final application. Testing the prototype using the User Acceptance Test Method with a Likert's Summated Rating. The result is that the Marketplace prototype gets a score of 815 which falls into the very good category range.

Design of Daily Hindu Prayer Applications Based on Telegram Bot

Telegram Instant Messaging, launched in August 2013, is an IM application. One of the advantages of telegram is processing instant messages by providing features for the wider community to use the Application Programming Interface. Bot is one of the APIs used in general to run an automatic job on computer programs. The implementation of bots has begun to be widely used. One of the advantages of Bot is that it can provide data that does not manage time to users. Bhagawad Gita and Hindu prayers can be accessed through many media, but not through instant messages. Users should still read books or search on websites to find sloka or prayers. One solution is to use the Telegram chat bot. Users only need to send commands to find information about Hindu sloka or prayers in the chat bot, after which the bot will respond according to the instructions that the user sent. The bot will look for these commands on the database system and send them to the user. PHP programming language or Hypertext PreProcessor with the language framework that will be used in building this system.

Geographic Information System for Mapping and Complaint of Damaged Roads

Indonesia is a massive archipelago of 1.919.400 km², containing roads that span at 542.000 km across various terrain conditions. This diverse geographic environment is a challenge to road constructions and repairs across the country, which has lead to disruption in public service and traffic accidents each year. We propose the Geographic Information System for Mapping and Complaint of Damaged Roads, a solution which can provide users a digital interface to report damaged roads to the transportation department in their area. This research uses Google Maps API to digitize and make a complaint about damaged roads. The result of this research is an android application for the users and a website application for the road managers. The android application is used by the users to make complaints of damaged roads. The web application is used by road managers to draw the road on Google Maps using polyline feature. With this our goal is to systematize the handling of damaged roads information, leading to faster service times and hopefully help reduce the level of traffic accidents in Indonesia. Keywords: Complaint, Damaged road, Geographic Information System, Google Maps, Road digitization.

Implementation of Enterprise Resource Planning at CV. Dewi Bulan

Nowadays, the development of information technology is very fast, which allows many companies to receive the latest information technology to support the smooth running of the company's business. CV. Dewi Bulan is a small and mediu enterprise (UKM) that produces incense stick. The problems that faced by CV. Dewi Bulan is an inefficient business process, its business activities are still manually recorded, documents related to the sale, production and purchase of raw materials are still handwritten on a form in the company and the bookkeeping is done once a month. These documents cannot be accessed in real-time. This problem causes delays in processing of customer orders. The solution to overcome this problem above is to implement Enterprise Resource Planning, where in practice, ERP can automate business practices and company business procedures. ERP implementation uses a technology that is using Odoo version 11.0. This research method consists of six stages of the research process, namely; literature study, data collection, data processing, application modeling, system testing >and implementation, also conclusions and suggestions as well. The final stage in this research is to conduct a survey with the UAT questionnaire and a Likert scale to assess the satisfaction level of Odoo application users. The results of the questionnaire were dominated by the assessment of "Satisfied", this indicate that the business improvement process is made were acceptable and applied in CV. Dewi Bulan. Keywords: Business Process, Enterprise Resource Planning, Odoo, Likert Scale, UAT.