Jurnal Informatika: Jurnal Pengembangan IT
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Sistem Advice Planing Online Dengan Framework Codeigniter Berbasis Web Bootstrap (Studi Kasus: Kabupaten Probolinggo)
No full textThe information system in the form of Integrated Advice Planning by using CodeIgniter Framework and based on Framework Bootstrap one of system which gives responsive form. The system is a service as one of solution for e-Government. Advice Planning service is the optimization of public services in the licensing sector and the optimization of agency management. The licensing service is in the form of design consultation and the location of the building in accordance with the Spatial and Regional Plan within a Local Government. Licensing process that must be fulfilled by prospective investors either individually or on behalf of the company and supporting infrastructure around the investment location. The services provided by the Information System have provided Advice Planning application submission online. The system is expected to provide convenience for the community in the region and create a friendly, the comfortable, the transparent and cheap of interaction between the government and the community
Smart Malnutrition Detection: Deteksi Dini Kecukupan Gizi Dan Rekomendasi Gizi Harian
No full textThis study aims to develop a mobile-based application, Smart Malnutrition Detection, which can help early detection independently of the nutritional status of each individual and provide recommendations for daily nutritional intake. The system was developed by adopting a prototyping system development model. The system can determine the nutritional status of individuals based on the threshold value of BMI. The system can also calculate individual daily calorie needs based on BMI, EMB and daily physical activity values. The final output of this system is in the form of recommendations for daily nutritional intake in grams. The functional testing results show that all features contained in the Smart Malnutrition Detection application can run well and no errors are found. Validity testing results show that the output of the system is in accordance with the rules set by the Ministry of Health of the Republic of Indonesia. Starting from calculating the BMI value, the value of daily calorie needs to the size of the menu consumption in grams. So that it can be concluded that this application is very useful to support early detection of individual malnutrition conditions. The system is also able to provide recommendations for daily nutritional intake so that it can help improve diet and healthy lifestyle
Prototype of Personal Knowledge Management on Higher Education
No full textThis study proposed a prototype of personal knowledge management system on higher education. Personal knowledge management system is a method that used by person to manage his own knowledge. The knowledge will be classified and stored in the databases system and retrieved when needed. This study is focused for the students who take courses during undergraduate program period. All academics activities will be recorded in the system and published as portfolio on the end of study as a complementary document along certificate and transcript. This prototype offers the students to manage their knowledge from their projects, prototypes, patents, researches, seminars and work experiences
Optimalisasi Stemming Kata Berimbuhan Tidak Baku Pada Bahasa Indonesia Dengan Levenshtein Distance
No full textStemming algorithm Nazief and Andriani has been development in terms of the speed and the accuracy. One of its development is Non-formal Affix Algorithm. Non-formal Affix Algorithm improves the accuracy for non-formal affixed word. In its growth, Indonesian language is used in two ways: formal and non-formal. Non-formal language is commonly used in casual situations such as conversations and social media post (Facebook, Twitter, Instagram, etc.). To get the root of the word of a casual conversation or a social media post, stemming algorithm which can process the non-formal words with affixes already proposed. But, the previous algorithm unable to stem a non-formal word that slightly change the root word. Therefore, this study modifies Non-formal Affix Algorithm to increase stemming accuracy on non-formal word. Modifications are made by adding Levenshtein Distance. The result of the research shows that the algorithm made in this research has 96.6% accuracy while the Non-formal Affix algorithm has 73.3% accuracy in processing 60 non-formal affixed words. Based on the result, Levenshtein Distance approach can increase the accuracy on stemming non-formal affixed word
Perancangan electronic Museum (e-Museum) sebagai Media Promosi Kain Songket Khas Palembang
No full textSongket is a work of art which is a traditional fabric that is widely used in a variety of custom events in South Sumatera. Songket is made from a special yarn woven by using traditional weaving equipment. To generate a songket takes at least three months. This is causing a songket produced have the expensive price. In the community of South Sumatra songket is a must in custom events, among others, marriage ceremony, welcome the birth and Circumcision. Songket have various motives that have a specific name with the distinctive characteristics that differentiate between a songket with another. This research aims to design the application e-museum which can be a promotion media so the songket can widely know. The method used in building e museum Applications is ordinary Waterfall SDLC Models or linear sequential model. The result of the design can be implemented into the android-based applications
Sistem Pakar Untuk mendiagnosis Gangguan Jiwa Schizophrenia
No full textPatients with mental illness (schizophrenia) are quite large. According to the results of Basic Health Research in 2015, there is 0.467 percent of the population in Indonesia, in other hands, 1.093.150 Indonesians were suffered from schizophrenia, if schizophrenia does not get attention and appropriate treatment, it will be very bad for the patient. Community stigma about mental disorder often leads schizophrenia patients to be too late taken to a health facility. People believed that schizophrenia is caused by mystical things so that the first treatment is brought the patients to alternative medications. The development of a very rapid computer nowadays makes us easily build a web-based expert system. This expert system is trying to find a satisfactory solution as an expert does. The system was developed to diagnose the schizophrenic mental disorder and the diagnosis was done by analyzing the inputs symptoms, in the form of checklists of what people were felt, then choosing the density of its severity. The results of the diagnosis provide an outcome, i.e. the names of the disease along with the possible percentage value generated based on the selected symptoms. This research intended to build an expert system using PHP and MySQL programming language to store its database, while the inference method using forward chaining is the process of tracing that begins by displaying a data set or convincing facts to the final conclusion. This research resulted a diagnosis schizophrenic mental disorder expert system that is capable to early diagnosing schizophrenic disorder, based on the symptoms that have been selected by the user with a simple appearance that is easy to understand and can be accessed by many users
Pengembangan Media Pembelajaran E-Learning Berbasis Schoology
No full textLearning with the E-learning method is learning by using technology because online e-learning uses computer networks to provide information and communication. Where with the use of e-learning can occur changes in learning activities between teachers and students and students can learn wherever and whenever. SUMSEL N HIGH SCHOOL (Sampoerna Academy) Palembang has a vision that is international level and has the hope to become an example for other national schools by implementing international standards and has a mission to make students global in mind. In the SUMSEL High School in the learning process still using conventional learning methods through face-to-face in class, the provision of subject matter is carried out only in class and also if the teacher is not entered, the subject material is not obtained by students. So that this research was carried out by utilizing information and communication technology in changing learning activities namely the use of school-based elearning. While this research is research and development research refers to the development model Analyze, Design, Develop, Implement, Evaluation (ADDIE). School-based Elearning has features similar to Facebook and schoology also combines social networks and LMS (Learning Management System). So that with schoology-based e-learning can get information about the subject matter that is given by the teacher easily even though the teacher is unable to attend the class because through schoology the teacher can attend student attendance, and between the teacher and students can interact socially while learning
Visualization of Information Based on Tweets from Meteorological, Climatological, and Geophysical Agency: BMKG
No full textIndonesia is a country with high rate of natural disaster, so any information about early warning of natural disaster are very important. Social media such as Twitter become one of tools for spreading information about natural disaster warning from account of Meteorology, Climatology and Geophysics Agency (BMKG), therefore, the effectiveness of this kind of method for providing information have not known yet. The statement becomes the reason that the visualization is needed to analyze the information spread of natural disaster early warning with Twitter. This study is performed in 3 steps, which is retrieving, preprocessing then visualization. Retrieving process is used to get the tweet data of BMKG account in twitter then save into database, while preprocessing is done to process tweet data that has been saved in database by grouping the data according to the category, which includes Meteorology, Climatology, and Geophysics according to existing keyword, also reduce tweet data that is unimportant like BMKG's reply tweet toward other user's question. Visualization stage uses the result of preprocessing data into line chart graphic, bar chart and pie chart. Highest information spreading from BMKG tweet happened in Geophysics at March with 25987 re-tweets, while the highest peak happened at 2 March 2016 with information about 8.3 SR earthquake in Mentawai islands, West Sumatera with total of 6145 re-tweets
Pengujian Aplikasi dengan Metode Blackbox Testing Boundary Value Analysis (Studi Kasus: Kantor Digital Politeknik Negeri Lampung)
No full textSoftware testing phase is one of a critical element in determining the quality of a software. These tests include design, specification, and coding. This study aims to test the digital office software at Lampung State Polytechnic. The testing process is done to determine the level of error that occurs in the software. The test used a black box testing Boundary Value Analysis. Boundary Value Analysis is a type of test case by determine the normal value, minimum value and maximum value of the tested data. The applications resulted from this research are capable to handling data, both normal and abnormal data with a 91, 67% success rate
Analisis Sentimen Perusahaan Listrik Negara Cabang Ambon Menggunakan Metode Support Vector Machine dan Naive Bayes Classifier
No full textTwitter is one of the most popular online networking service that accessed by the community / citizen. The account @ambonlima which has proven their credibility, take the opportunity to provide the information about the electricity in Ambon Island, Maluku. Power outage in Ambon is become the issue lately and the community conveyed via tweets addressed to @ambonlima accounts such as complaints, criticisms or supports. The opinion is textual data which can be extracted to know the sentiment of society to the performance of PT. PLN Ambon. The purpose of this research is to to found out the sentimental level of the society about the electrical condition in Ambon by using sentiment analysis method. There are two classification method used in this research, Naive Bayes Classifier (NBC) dan Support Vector Machine (SVM). In this case, the researcher will compare both method to understand which method have better accuracy. The NBC classification results using 2 fold in validation process showed a better accuracy than other fold value, which is 67.2%. Positive sentiment obtained 67%, neutral sentiment 19% and negative sentiment 14%. Meanwhile, the SVM classification method also showed a better accuracy using 2 fold. Positive sentiment derived 24%, neutral sentiment 29%, and negative sentiment 47%. This study shows the average level of accuracy of SVM classification method is better than the NBC method, which is 76.42%. The presence of negative sentiment that is not more than 50% indicates the influence of account @ambonlima which is able to afford the electrical problems to the public in real time