Jurnal Transformatika
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Implementasi Algoritma Linear Congruent Method Pada Pengacakan Soal Kuis dalam Aplikasi Mobile Learning Anemia Berbasis Android (MobiliA)
Full text linkAnemia is a lack of blood condition with reduction in hemoglobin as one of indicator. According to data from the Basic Health Research in 2013, the prevalence of anemia sufferers in Indonesia was high at 37.1%. The figure was almost close to severe public health problems with an anemia prevalence limit of more than 40%. However, this was not accompanied by low public knowledge about anemia.Therefore, researcher created an anemia mobile learning application based on android to increase people knowledge about anemia in everytime.There were quizzes randomly issued using the Linear Congruent Method algorithm. Linear Congruent Method algorithm, which was an algorithm that produced random permutations from a finite set. Testing Linear Congruent Method (LCM) algorithm was able to produce an effective randomization problem, where there was no repetition of the same value if the value of the declared variable meets the determination parameters of the existing LCM Algorithm i.e. the increment value and modulus must be relatively prime.
IMPLEMENTATION OF DEVOPS METHOD FOR AUTOMATION OF SERVER MANAGEMENT USING ANSIBLE
Full text linkThe Development and Operations (DevOps) method is develops tasks that are operationalized by IT staff including server management. DevOps is a server, coding, and tester bridge so that it can be activated automatically so that the programmer does not need to do it repeatedly. Server management is still mostly done manually by doing repetitive settings on one server and another server so that it is inefficient and requires a relatively long time, the solution by adding several employees will increase the work of making users and user management on all servers, the occurrence of human errors and burdens costs for the company. Ansible is one type of configuration management tools that can be used for the infrastructure management process from a manual program to an automatic. In this study the implementation and testing of Ansibel was done in server management. Ansibel can configure and manage user account settings on all servers automatically
Perancangan Antarmuka Sistem Pelaporan Kerusakan Gedung Menggunakan Metode Human Centered Design (HCD) Berbasis Mobile dengan Teknologi Hybrid (Studi Kasus : Kampus Notohamidjojo FTI UKSW)
Full text linkKampus Notohamidjojo merupakan kampus yang tergolong masih baru yang digunakan oleh Fakultas Teknologi Informasi Universitas Kristen Satya Wacana. Gedung ini berdiri 3 tahun lalu, meskipun gedung ini masih baru tetapi sudah ada beberapa kerusakan dari infrastruktur, fasilitas laboratorium komputer dan furniture. Pihak yang menangani hal tersebut adalah bagian sarana dan prasarana fakultas. Sarana dan prasarana dari fakultas mengalami kendala ketika melakukan pengelolaan kerusakan yang ada, maka dari itu dengan berkembangnya teknologi yang semakin maju banyak platform yang dapat dimanfaatkan untuk melakukan pengelolaan kerusakan tersebut. Platform yang digunakan yaitu smartphone Android dan website. Perancangan sistem ini menggunakan platform Android untuk melakukan proses pelaporan kerusakan dan website digunakan untuk melakukan manajemen kerusakan. Perancangan ini difokuskan untuk membuat desain antarmuka aplikasi yang user-friendly. Desain yang diterapkan menggunakan metode Human Centered Design (HCD) karena dengan menggunakan metode ini dapat menghasilkan antarmuka yang sesuai dengan kebutuhan pengguna. Perancangan ini juga menggunakan teknologi dari Hybrid yang dimana dengan menggunakan teknologi tersebut sistem ini dapat berjalan di Android dan iOS. Pengujian terhadap antarmuka dilakukan menggunakan metode End User Computing Satisfaction (EUCS) dengan mendapatkan hasil lebih dari 90,0 yang menandakan bahwa perancangan sistem pelaporan kerusakan menggunakan metode HCD dan EUCS ini valid dan mampu untuk memenuhi kebutuhan yang diperlukan dari pihak sarana dan prasarana Fakultas Teknologi Informasi.
Analisis Sentimen Terhadap Aplikasi Ruangguru Menggunakan Algoritma Naive Bayes, Random Forest Dan Support Vector Machine
Full text linkThe review of the users of one application is of great help to development in improving the quality of the application and may be the means for assessments that users feel satisfied or not. The study conducted a sentiment analysis of the Ruangguru application by testing the three classification models such as Naive Bayes, Random Forest and Support Vectors Machine. The study has yielded results that from Random Forest classification model 97,16% by using Cross Validation and an AUC score of 0.996. Then accuracy with the model of Support Vector Machine classification support results in accuracy rate of 96.01% to an AUC value of 0.543 and accuracy in the testing of Naive Bayes classification model was 94,16% of AUC score 0,999. This study shows that an increase in accuracy from previous studies of 7.16% with Random Forest s final cut as a Random Forest classification model with the best performance
Sistem Pendukung Keputusan Penerima Bantuan Pangan Non Tunai Dengan Metode Hybrid AHP- SAW
Full text linkFood Aid Non-Cash given to the family of Beneficiaries. The current Non-Cash Food Assistance System still has many obstacles, such as the proposed citizen data directly entering the Poor Citizen data, some residents are quite capable of receiving help and there is no method to decide acceptance criteria. The research aim is the use of the Analytical Hierarchy Process and Simple Additive Weighting methods used in supporting the decision to decide the receipt of non-cash food aid. Analytical Hierarchy Process method to decide the weight and Simple Additive Weighting to decide the ranking of each alternative. In this research Author using Mc Call testing with the overall results of the assessment of respondents with an average of 3.3 with a percentage of 82.5% categorized as Very Good. In this study the authors succeeded in applying the Analytical Hierarchy Process and Simple Additive Weighting methods for the food aid recipient process. The result of this research successfully implemented application for the choice of recipients of food help at the makamhaji villag
Temperature and Humidity Monitoring Using DHT22 Sensor and Cayenne API
Full text linkInternet of Thing is a new technology which enables small processing-capable devices to capture or retrieve information from a sensor and send the data to the central computer. This technology is useful for any sector especially agriculture, IoT can be used as monitoring or/and controlling the condition inside the cultivation. There are many kinds of agriculture cultivations, some of them have strict conditions due to the growth requirements. Oyster mushroom cultivation is one of many cultivations which requires strict temperature and humidity needed by oyster mushroom to growth optimal. The temperature inside the cultivation must be within 25 °C until 30 °C and humidity within 70% RH until 90% RH. Due to these strict requirements, the farmers required to check their cultivations every day and manually maintain the temperature and humidity, and this situation becomes a problem when the farmers own many cultivations. Hence, this research has a purpose to design an automatic monitoring system based on Internet of Things technology which utilizing the DHT22 sensor and Cayenne API as information retrieval medium to the computer. When using this device, the farmers can check their cultivation in the meantime without going inside the cultivation. This device will connect to the internet through wireless connectivity and send the captured information by the sensor to the farmers. The stored data from the cultivation can be exported as a CSV format if the farmers want to check the temperature and humidity statistic. The retrieved information from the sensor also displayed on the LCD attached to the device to ease the information reading near the cultivation
Visitor Satisfaction Analysis of Library Services at Sultan Agung Islamic University Using Libqual and Fuzzy
Full text linkQuality of service is part of the services provided by the Universitas Islam Sultan Agung (UNISSULA) library so that it matches the expectations and needs of visitors. There is not yet a system that can be used to measure service quality so that the process of measuring services is less than optimal. So it needs to be made a system that can be used to evaluate the quality of library services. The system was built using two methods in its development, namely the Libqual Method and the Fuzzy Tsukamoto Method by using a Likert scale from values 1 to 5. The Libqual method is used to measure the gap between perception and expectations with two calculations namely Adequancy Gap (AG) and Superiority Gap (SG) , in Fuzzy Tsukamoto there are four process processes, namely fuzzyfication, rule formation, inference and defuzzyfication machines which are used as ranking of each question on the questionnaire regarding service quality. Ranking aims to find out the question items about the quality of service that has the best value on a scale from small to large. The results of calculations using Libqual and Fuzzy Tsukamoto from three dimensions that exist in Libqual, Library as Place gets first rank with a value of 3,31 which is the most optimal service quality
Fuzzy Tsukamoto Implementation on Internet of Things to Control Flooding
Full text linkA Flooding is a disaster that often occurs in the Semarang area, especially on Jl. Raya Kaligawe. Flooding can occur due to the ineffectiveness of the pump work in a water impregnation pool. The impact of the floods is detrimental to students because with the flooding it can interfere with teaching and learning activities and studying student activities when on campus. At Sultan Agung Islamic University, Semarang has a water impregnation pool that is still manually controlled. By using Fuzzy Tsukamoto as artificial intelligence on Internet of Things technology, we can carry out intelligent control systems in water absorption pool pumps in realtime, so as to prevent and reduce human error that causes flooding. In principle, the Internet of Things works using a microcontroller, one of the microcontrollers that can be used, namely Wemos D1 mini. Wemos D1 mini is connected with an ultrasonic sensor to measure water level in a water infiltration pond, air temperature and air humidity sensor to detect rain
Pengelompokkan Data Akademik Menggunakan Algoritma K-Means Pada Data Akademik Unissula
Full text linkA Higher education in the digital era as it is now common to use IT technology (Information Technology) in supporting their daily activities, but the use of IT raises a problem that is serious enough if there is no support and no further management this is only produce a data noise , Sultan Agung Islamic University (Unissula) has implemented an IT-based academic information system, in use of this information systems by time this systems produce a lot of data in the unissula academic database and this data is monotonous data and not clustered or also called data noise data that overlap without any benefit and information further in it, the purpose of this study is to solve the problem of these data into student performance data based on the GPA from semester 1 to semester 4 and make it to be a best data to support an alternative decision by the leader, this study uses the method of datamining and k-means algorithms, k-means algorithm is very good to be used as a solution for problems related to clustering, k-means algorithm is an algorithm that is unsupervised and the data can be adjusted by its self according to its class, the results of this study are a decision support system for grouping academic data in the form of dashboard information systems