MENILAI NIAT PERILAKU MAHASISWA UNTUK MENGGUNAKAN ILIAS SEBAGAI PLATFORM PEMBELAJARAN DARING MENGGUNAKAN MODEL UTAUT2

The use of e-learning in the learning process at Amikom Purwokerto University has been implemented since early 2019 by utilizing the ILIAS e-learning platform. The problem that arises is whether students are satisfied and intend to continue using the ILIAS platform for the online learning process during the pandemic period and afterwards where there are still many obstacles experienced by students during online lectures. This study aims to assess the behavioral intention of Amikom Purwokerto University students to use ILIAS as an online learning platform by adopting the UTAUT2 (Unified Theory of Acceptance and Use of Technology 2) model. Based on the results of hypothesis testing, it shows that each variable has a significant effect and has a significant impact on the use of ILIAS, this is evidenced by each hypothesis being accepted with a t-value> 1.96. Based on the t-value, the variable Performance Expectancy, Facilitating Condition and Habit is the variable with the highest t-value among the other variables, namely (PE -> BI = 16.8709), (FC -> UB = 13.4742) and (HB - > UB = 12.6896). This shows that these three variables have a high significant influence and impact on the use of ILIAS. In further research, it may be possible to consider the use of moderating variables such as age, gender, experience, and so on or add other variables such as Security and Information Quality.

E-SUPPLY CHAIN MANAGEMENT PADA TOKO ROTI MENGGUNAKAN ODOO 11.0

The rapid development of technology has an impact on the competition in the business world. A company needs technology to be able to make efficiency and make innovations in order to maintain market share or to gain new market share. A company must make efficiency in all fields in order to increase competitiveness. A bakery is a manufacturing company that runs its business by making and selling bread. Electronic Supply Chain Management can be a solution for managing business processes related to bakery activities. Electronic Supply Chain Management (e-SCM) is the efficient and effective coordination of all supply activities of an organization from its suppliers and partners to its customers using technology support. E-SCM Bakery has been successfully built through the stages of data collection, data analysis, system business process design and system development using Odoo 11.0. Based on black box testing, all functionality of the system has been running as expected.

ALGORITMA GENERATE AND TEST UNTUK OPTIMALISASI MASALAH RUTE PERJALANAN

The common of urban city problem is a traffic jam, and it is heavily affect the public transportation service quality. Many cities in tropical countries suffer of heavy traffic jam due to the populaition of motorbike. According to Central Java Province Government, in 2014 the population of motorcycle is 439.418 units with the ownership ratio at 0.75 unit/person. Solo is one of typical middle size city in Central Java, Indonesia. Solo suffers from traffic jam in particular time of the day and it affect the quality of service of batik solo as the mass transportation service in Surakarta. This research would like to help the community get the optimal travel route with the fastest time, especially at the busiest times. The method used is Generate and Test algorithm. This method is a combination of Depth First Search and Backtracking. This research is conducted to get information about the influence of traffic volume, service road level and traffic jam level toward the time needed for Batik Solo Trans to find the optimal route. There is a route that been selected to be the most optimal route by considering the factors that influence it and the algorithm applied

PERANCANGAN SISTEM MONITORING DAN KONTROLING POMPA AIR BERBASIS ANDROID

Water is a necessity that is so important for every creature in the world, and the estimate of water must always be available or it is in homes, offices, public places or industry. This causes the water storage tank to play an important role in ensuring the availability of air is always there and under control. In this research, it is based on an Android-based Water Pump Monitoring and Control system with the support of IoT (Internet of Things) technology so that it makes it easier for users to monitor the amount of water in the storage tank and control the water pump to fill water into the tank, the system built is supported by the NodeMCU module. esp8266, Relay and Ultrasonic Sensor and connected to the Blynk application which functions as an application interface in monitoring and controlling the water pump. If the air has determined the specified distance, a notification will appear to immediately turn off the water pump, thus it is hoped that this system can help users see the condition of the water pump and water tank even though they are not at home

PERANCANGAN SISTEM PENAWARAN STARTUP DAN INVESTOR ONLINE

In terms of establishing and nurturing startups, finances are required to ensure their long-term viability. Startups at this stage require the support of investors as financial backers. The dearth of forums for promoting companies makes it difficult for developers to get traction and attract investors. The bidding method for entrepreneurs and investors was designed with these limits in mind. The waterfall concept is used in the design of this offering system, in which the website design is completed consecutively from beginning to end. The purpose of this website's design is to make it easier for developers to advertise startups or "products," to create possibilities for developers to meet investors indirectly, and to make it easier for investors to analyze startups with future potential. Startups are classified according to their valuation value; the Discounted Cash Flow approach was used to calculate the valuation for this website design

PERBANDINGAN KERNEL SUPPORT VECTOR MACHINE (SVM) DALAM PENERAPAN ANALISIS SENTIMEN VAKSINISASI COVID-19

In early 2020, the first recorded death from the COVID-19 virus in China [3]. Followed by WHO which later stated that the COVID-19 virus caused a pandemic. Various efforts were made to minimize the transmission of COVID-19, such as physical distancing and large-scale social circulation. However, this resulted in a paralyzed economy, many factories or business shops closed, eliminating the livelihoods of many people. Vaccines may be a solution, various International Research Communities have conducted research on the COVID-19 vaccine. In early 2021 the Sinovac vaccine from China arrived in Indonesia and was declared a BPOM clinical trial, but the existence of the vaccine still raises pros and cons, some have responded well and others have not. For this reason, a sentiment analysis of the COVID-19 vaccine will be carried out by taking data from Twitter, then classified using the Support Vector Machine algorithm. The research data is nonlinear data so it requires a kernel space for the text mining process, while there has been no specific research regarding which kernel is good for sentiment analysis, so a test will be carried out to find the best kernel among linear, sigmoid, polynomial, and RBF kernels. The result is that sigmoid and linear kernels have a better value, namely 0.87 compared to RBF and polynomial, namely 0.86

PENERAPAN METODE TEOREMA BAYES UNTUK MENDETEKSI HAMA PADA TANAMAN PADI MAYAS KALIMANTAN TIMUR

The community very much needs the nutritional needs of food during a pandemic. One source of nutrition that can be obtained is rice or rice derived from rice plants. Mayas rice is a rice plant with advantages in terms of high taste quality and components of certain physiological functions that are beneficial to health. However, Mayas rice has quite a lot of pest attacks, thus reducing agricultural production. On the other hand, the knowledge possessed by the community regarding pests in Mayas rice is still very minimal. Hence, people find it difficult to determine the proper pest control method. Bayes theorem applied in an expert system can be a solution to diagnose the types of pests that attack Mayas rice. The research data is a knowledge base that contains 32 symptoms that appear and 10 types of pests that attack Mayas rice. The results showed that the percentage of certainty in the diagnosis of the types of pests that pounded Mayas rice was based on the symptoms given by the user. The level of testing using ten test cases displays the results of an expert system for identifying types of pests that attack Mayas rice which is suitable for use with a percentage of 90%.

IMPLEMENTASI AHP-TOPSIS DAN NAÏVE BAYES DALAM SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN BIMBINGAN KONSELING SISWA

Student development cannot be separated from the influence of the surrounding environment, be it physical, psychological, and social. The inherent nature of the environment is change, if change is difficult to predict, it will create behavioral gaps from students. For example, problems that are often experienced by students are difficulties in increasing grades so that the scores are relatively low, the level of class attendance is minimal, the learning environment in the classroom whether it supports students to be able to participate in learning activities or not, violations of school rules, and so on. The purpose of this study is to help provide decision recommendations for students who will be given priority in counseling guidance and counseling services. The method used for calculations on the SPK is a combination of AHP-TOPSIS and Naïve Bayes Classifier. AHP is used to find the weight value of each criterion, TOPSIS is used in the ranking process while Naïve Bayes is used to determine counseling services. The results of this study are in the form of a decision support system, which can facilitate the decision-making process, and can provide recommendations for students who are prioritized for counseling and counseling services

IMPLEMENTASI KLASIFIKASI NAIVE BAYES DALAM MEMPREDIKSI LAMA STUDI MAHASISWA (STUDI KASUS : UNIVERSITAS DHYANA PURA)

Under normal conditions, undergraduate or undergraduate students from a university can complete their studies for 4 years or 8 semesters. In fact, many students complete their study period of more than 4 years. Is known that in fact in the 2015/2016 academic year there were 744 people who were accepted as students. Of the 744 people who were accepted, 405 people had completed a study period of about 4 years and the remaining 39 people completed their studies for 5 years and 300 of them did not continue their studies. Based on the problem on, so This study implements a classification that can help Dhyana Pura University in predicting the length of study for students who are currently studying in various study programs at Dhyana Pura University. The author's method serves in the classification to predict long student study period is the Naive Bayes algorithm. By using the Java-based Rapid Miner tool to classify graduation data. Then the implementation of data mining which is divided into 968 training data and 193 data testing data with naive Bayes has succeeded in obtaining an accuracy rate of 100% which also has very good parameters.

RANCANG BANGUN MODEL DATA UNTUK MANAJEMEN DOKUMEN SISTEM PENJAMINAN MUTU INTERNAL

To achieve the objectives of the Internal Quality Assurance System, the Quality Standard document must be socialized to each work unit, and the existence of information technology will greatly assist in the distribution and socialization of these documents. This study aims to design and build a data model for storage and management of SPMI documents, especially Standard documents, which are generally in the form of files in print or digital format with a complete structure as a collection of text. With the data model designed, the Standard document is stored in a divided state into a number of entities that represent sub-sections of the document and are structured. This research produces a data model design with a relational system, so that it will produce optimal performance when create, retrieve, update and delete operations are carried out on Standard Documents, and still produce complete information about standard documents, as well as one aspect or context. in Standard documents and their linkages, through application programs and information systems. Testing was carried out by the black-box method of the SPMI document information system prototype which indicated that the data model was successfully implemented and worked well in its application.