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Journal of Information Technology and Its Utilization
Published by Sekolah Tinggi Multi Media Yogyakarta
ISSN : -     EISSN : 2654802X     DOI : 10.56873
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Mechanical Engineering
Journal of Information Technology and its Utilization adalah jurnal yang diterbitkan oleh Balai Besar Pengembangan Sumber Daya Manusia dan Penelitian (BBPSDMP Kominfo) Makassar. Bertujuan untuk menyebarluaskan hasil penelitian, kajian, rencangan ilmiah dibidang teknologi informasi dan pemanfaatannya. scope: data mining, Iot, Ai, digital processing, information system
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 77 Documents
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SMART GOVERNMENT MONITORING POPULATION ADMINISTRATION IN GATTARENG TOA VILLAGE, MARIORIWAWO SUBDISTRICT, SOPPENG DISTRICT Tasmil Tasmil
Journal of Information Technology and Its Utilization Vol 1, No 2 (2018)
Publisher : Sekolah Tinggi Multi Media (STMM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.1.2.1737

Abstract

This study aims to design and apply smart government monitoring of population administration applied by using Hypertext Preprocesor (PHP), MySql and C# with online server in Gattareng Toa Village, Marioriwawo Subdistrict, Soppeng District This data is obtained through (1) Field Research (2) Research Library (3) Interview. Data were analyzed by pieces analysis. The results of the study  indicated that the Smart Government Monitoring Population Administration can help the system of population administration work in monitoring Population Administration in Gattareng Toa Village, Marioriwawo Subdistrict, Soppeng District
A QUALITATIVE STUDY ON STUDENTS BEHAVIOR TOWARD SUDDEN ONLINE LEARNING POLICY Darman Fauzan Dhahir
Journal of Information Technology and Its Utilization Vol 3, No 1 (2020)
Publisher : Sekolah Tinggi Multi Media (STMM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.3.1.3111

Abstract

Education stakeholders in Indonesia have made rapid adjustments due to the Coronavirus disease 2019 (COVID-19) pandemic outbreak that demanded social distancing to avoid it. Yayasan Pendidikan Budi Utomo Makassar also issued a policy that changed the learning methods from offline to online. The current research was aimed to find out the behaviors of students facing this sudden policy. It was conducted with a qualitative approach. Data were collected from observations of several Yayasan Pendidikan Budi Utomo Makassar’s students. The results showed that students obeyed the policy. Some of them learned and did the tasks as expected, but some others skipped the lessons, postponed doing assignments, and complained through the online communication media that had been provided.
Benchmarking MySQL and NoSQL Databases on Egovbench Application Nur Aini Rakhmawati; Muhammad Zuhri; Radityo Prasetianto Wibowo; Anwar Romadhon; Herdy Ardiansyah; Olive Khoirul
Journal of Information Technology and Its Utilization Vol 2, No 1 (2019)
Publisher : Sekolah Tinggi Multi Media (STMM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.2.1.2080

Abstract

E-Government is a result of technological advances in the government field. E-government assessment is needed to encourage the development of e-government in a better direction. The e-Government assessment can be measured using the Egovbench application. Egovbench performs crawling to obtain information from related websites or social media. The process of crawling done by Egovbench produces extensive data, which reduced performance in data processing. Therefore, there is a need for a database solution that has the best performance such as high processing speed and small database size. This study examined the comparison between relational databases and non-relational databases based on selected metrics to obtain the most suitable database solution for Egovbench. The results show that the MySQL database has the advantage of complex query processing and the use of the database with the smallest storage space. MongoDB database has the advantage of low data transfer volumes. Couchbase database has the advantage of short and straightforward query processing with a high number. The evaluation results show that MySQL is more suitable for Egovbench needs, which is the best response time and query per second. MySQL outperformed the other two databases on backup and storage file sizes testing.
DECISION SUPPORT SISTEMS (DSS) DETERMINING DEPARTMENT USING NAIVE BAYESIAN ALGORITHM NURLINDASARI TAMSIR
Journal of Information Technology and Its Utilization Vol 1, No 1 (2018)
Publisher : Sekolah Tinggi Multi Media (STMM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.1.1.1690

Abstract

In practice the majors are often determined by the teacher with consideration of academic achievement and ignore the interests and talents of the students. Students who have high scores on the grades of report cards will be educated on IPA and low achievers will be led to IPS and Language. Problems faced by most schools because students who enter the majors are not in accordance with the skills, abilities, interests and talents of students that affect the quality and success of student learning. With the majors in accordance with the characteristics of personality, students will feel happy when learning so as to help prepare students to continue their studies and choose the world of work and help strengthen the achievements to be achieved in the future. The purpose of this study is to find out how the implementation of Decision Support Sistems (DSS) using the Naive Bayesian method in determining the department in accordance with the skills, abilities, interests and talents of students held in SMA Negeri 10 Makassar and SMA Islam Athirah Makassar. Technique of data retrieval is done by observation and direct interview. The instrument used is a validated questionnaire by 2 (two) validators to test the questionnaire validity. There are two types of data that are analyzed ie student value data and questionnaire data that generate interest and talent of students to determine the direction. It is expected that with this application it can be seen that the students go to the department has been in accordance with the potential of each student.
Application Design of the Medicines Usage Prediction Based on Backpropagation Neural Network Method and PHP I Putu Arya Dharmaadi; Gusti Made Arya Sasmita
Journal of Information Technology and Its Utilization Vol 2, No 2 (2019)
Publisher : Sekolah Tinggi Multi Media (STMM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.2.2.2537

Abstract

The development of information technology makes many organizations utilizing it in their business process. For example, hospitals use certain information systems in medicine management. We observe that most medicines applications do not provide the drug usage prediction feature so that this situation causes the hospital staff being difficult in providing enough medicines. Therefore, in this experimental research, we developed an application in the form of a simple design for helping the hospitals in predicting daily medicine usage. This application also provides medicines stock management and doctor diagnosis features. The Brainy library is used to facilitate implementing the backpropagation neural network method in PHP programming language. We choose PHP because this server script is widely used in information system development. We demonstrated that the mock-up as the result of this development is able to work properly. For further study, we suggest expanding this mock-up become a full hospital information system that covers many functions in medical centers.
NEWS TOPIC CLASSIFICATION ON TRIBUNNEWS ONLINE MEDIA USING K-NEAREST NEIGHBOR ALGORITHM nfn Herman
Journal of Information Technology and Its Utilization Vol 1, No 2 (2018)
Publisher : Sekolah Tinggi Multi Media (STMM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.1.2.1879

Abstract

Online media journalists like tribunnews journalists usually determine the news category when make news input. Unfortunately, often the topic submitted is not in accordance with what is expected by the editor. These errors will make it difficult for news searches by customers. To eliminate these errors, editors can be assisted by an application that able to classify topics. Thus, editors is no longer too dependent on journalist input. This study aims to design applications that able to classify topics based on the texts contained in the news. The method used is the K-Nearest Neighboor algorithm. This design has produced a system that able to classify news topics automatically. To measure the accuracy of the application, several test were carried out by comparing between its results and the results of manual classification by the editor. The tests those carried out with several scenarios produce an accuracy rate of 82%
UTILIZATION EOS PLATFORM AS CLOUD-BASED GIS TO ANALYZE VEGETATION GREENNESS IN CIREBON REGENCY, INDONESIA Moh. Dede; Millary Agung Widiawaty
Journal of Information Technology and Its Utilization Vol 3, No 1 (2020)
Publisher : Sekolah Tinggi Multi Media (STMM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.3.1.3257

Abstract

Cloud-Based GIS development has been increasing rapidly since the need for big computing for online spatial data. Besides Google Earth Engine, there is actually another Cloud-Based GIS with similar features namely EOS Platform. This study aims to determine the EOS Platform utilization as a Cloud-Based GIS to Analyze Vegetation Greenness in Cirebon Regency, Indonesia. The selection of research location based on the various phenomenon of development in the Cirebon Regency. Vegetation greenness analysis using the NDVI algorithm which available on EOS Processing and Landsat series images are obtained from Land Viewer. Changes in vegetation greenness were analyzed descriptively from NDVI values in two periods at each pixel in the same location. The results of the analysis with the EOS Platform show a decreasing vegetation greenness in the western and peri-urban areas caused by LULC changes. From this analysis, it is proven that EOS Platform can be used for effective and efficient satellite image processing. Even so, some EOS Platform products with BETA version status still show some obstacles related to integration between products.
SCHEDULING USING GENETIC ALGORITHM AND ROULETTE WHEEL SELECTION METHOD CONSIDERING LECTURER TIME Herman Herman; Lukman Syafie; Irawati Irawati; Lilis Nur Hayati; Harlinda Harlinda
Journal of Information Technology and Its Utilization Vol 2, No 1 (2019)
Publisher : Sekolah Tinggi Multi Media (STMM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.2.1.2243

Abstract

Scheduling lectures is not something easy, considering many factors that must be considered. The factors that must be considered are the courses that will be held, the space available, the lecturers, the suitability of the credits with the duration of courses, the availability of lecturers' time, and so on. One algorithm in the field of computer science that can be used in lecture scheduling automation is Genetic Algorithms. Genetic Algorithms can provide the best solution from several solutions in handling scheduling problems and the selksi method used is roulette wheel. This study produces a scheduling system that can work automatically or independently which can produce optimal lecture schedules by applying Genetic Algorithms. Based on the results of testing, the resulting system can schedule lectures correctly and consider the time of lecturers. In this study, the roulette wheel selection method was more effective in producing the best individuals than the rank selection method.
IMPLEMENTATION OF AUTHENTICITY AND NOMINAL MONEY DETECTION SYSTEMS FOR MICROCONTROLLER-BASED BLINDNESS nfn Aprizal
Journal of Information Technology and Its Utilization Vol 1, No 1 (2018)
Publisher : Sekolah Tinggi Multi Media (STMM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.1.1.1703

Abstract

Money is a tool used to using in sale and purchase transactions. It's has been using by peopleeverywhere. Money is a staple for everyone, even for disabilities such us blind people. The limitation of the blind people in terms of seeing is a problem in communication so they rely solely on the sense of touching and listening. This limitation can make them confuse to identified money, miscalculation, or even deceived when selling. Referring to the above, it is necessary a tool that can facilitate the blind to identify the authenticity and nominal value of money. The purpose of this study is to design a tool that can be used to detect the authenticity and nominal value of banknotes. This tool uses TCS3200-DB color sensor to detect the color of banknotes, and ultraviolet sensors to detect the authenticity of money. Then by the microcontroller converted into RGB data and issued in the form of sound. Type of research used is the type of qualitative research with experimental methods, and using Black Box testing techniques. The result of this study is the system can recognize the authenticity and nominal money. So that makes it easier for users, especially blind people in buying and selling transactions in order not to change money.
Integration of Participatory Mapping, Crowdsourcing and Geographic Information System in Flood Disaster Management (Case Study Ciledug Lor, Cirebon) Moh. Dede; Millary Agung Widiawaty; Galuh Putri Pramulatsih; Arif Ismail; Amniar Ati; Hendro Murtianto
Journal of Information Technology and Its Utilization Vol 2, No 2 (2019)
Publisher : Sekolah Tinggi Multi Media (STMM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.2.2.2555

Abstract

Ciledug Lor is a flood-prone area in Cirebon Regency. Flood disaster management can empower the community through participatory mapping and crowdsourcing activities. This study aims to analyze the level of floods, threats, vulnerabilities, capacities, risks and refuge locations in Ciledug Lor Village based on participatory mapping, crowdsourcing, and GIS. Various indicators of threat, vulnerability, and flood capacity are obtained from field surveys, open data and official data that have been given a value and weight which are then processed using overlay analysis to obtain flood risk parameters. Determination of refuge locations used network analysis to find out the route, distance, and effective time. The results analysis and modeling showed the average flood level in Ciledug Lor reached 2.27 meters. The refugee location for Dusun Pamosongan and Dusun Kampung Baru are to the north close to the railway tracks. Meanwhile, Dusun Karanganyar and Dusun Genggong are in the Ciledug Bus Terminal. In the future, participatory mapping, crowdsourcing, and GIS are expected to build awareness and resilience of disaster

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