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Jurnal Teknologi Informasi dan Multimedia
Published by Puslitbang Sekawan Institute Nusa Tenggara
ISSN : 27152529     EISSN : 26849151     DOI : https://doi.org/10.35746/jtim.v2i1
Core Subject : Science,
Computer Science & IT
Cakupan dan ruang lingkup JTIM terdiri dari Databases System, Data Mining/Web Mining, Datawarehouse, Artificial Integelence, Business Integelence, Cloud & Grid Computing, Decision Support System, Human Computer & Interaction, Mobile Computing & Application, E-System, Machine Learning, Deep Learning, Information Retrievel (IR), Computer Network & Security, Multimedia System, Sistem Informasi, Sistem Informasi Geografis (GIS), Sistem Informasi Akuntansi, Database Security, Network Security, Fuzzy Logic, Expert System, Image Processing, Computer Graphic, Computer Vision, Semantic Web, Animation dan lainnya yang serumpun dengan Teknologi Informasi dan Multimedia.
Arjuna Subject : -
Articles 4 Documents
 1 
Search results for , issue "Vol. 4 No. 4 (2023): February" : 4 Documents clear
Animasi Motion Graphic Sebagai Media Pembelajaran Sistem Tata Surya Untuk Siswa Kelas 6 Sekolah Dasar Ika Asti Astuti; Safira Nada Athaya
Jurnal Teknologi Informasi dan Multimedia Vol. 4 No. 4 (2023): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v4i4.211

Abstract

Along with the rapid development of information technology today, multimedia has an important role in the field of education. Studying the solar system is very important, especially for elementary school children because it is very closely related to other natural sciences. In learning activities, the delivery of solar system material in schools is only conventional and theoretical which is equipped with several static examples, so that most students have difficulty and do not even like the lesson. Therefore, it is necessary to have an application that explains the characteristics of the Solar System with animations and visualizations that can support elementary school students in understanding the solar system easily and not boringly. One alternative media that can attract children's attention is video motion graphics. The method in this study applies the 4D model which includes four stages: (1) define, (2) design, (3) develop and (4) disseminate. The evaluation used is alpha testing and usability questionnaires for 6th grade elementary school students. The results of this research are 2D animated videos about the solar system which are made according to the needs and help learning activities of the solar system.
Klasterisasi Pelanggan Tenant Inkubator Bisnis STIKOM Bali Untuk Strategi Manajemen Relasi Dengan Menggunakan Fuzzy C-Means I Gede Harsemadi; Dedy Panji Agustino; I Gede Bintang Arya Budaya
Jurnal Teknologi Informasi dan Multimedia Vol. 4 No. 4 (2023): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v4i4.293

Abstract

Business Incubator is an institution that assists start-up businesses as their tenants that are still newly established or are growing. The main goal of a business incubator is to explore the most appropriate ways of assistance for tenants, from the process of starting a business, developing a business, and scaling up a business so that tenants can succeed in their business. Based on existing assistance data and the results of interviews with managers of the STIKOM Bali business incubator, one of the challenges for tenants is the ineffectiveness of the marketing process and strategic schemes in terms of maintaining customer loyalty. Ineffective and efficient plans can result in wasted use of resources. The customer relationship management (CRM) strategy can be applied by tenants as the solution, but the basis is that tenants need to know how to find out the right treatment for customers. So a strategy is needed to find out the characteristics of customers. In this case, it is done by using a business intelligence approach through customer clustering using fuzzy c-means. The dataset comes from the transaction of one of the tenants who is engaged in education technology. Based on values of the fuzzy partition coefficient (FCP) for the scenarios from clusters 2 to 10, it was found that 7 is the most optimal number of clusters (customer category) with the highest FCP value = 0.793. The main strategy that can be implemented based on tenant business for CRM is the pricing of subscription and engagement packages to customers regarding the information on both recently released and upcoming learning content.
Prediksi Persentase Body Fat Menggunakan Algoritma CART dan M5’ Uswatun Hasanah; Ade Nurhopipah
Jurnal Teknologi Informasi dan Multimedia Vol. 4 No. 4 (2023): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v4i4.316

Abstract

Body Fat Percentage (BFP) is a measurement of total body fat that is used as an accurate measurement for the diagnosis of obesity. BFP measurement is sometimes difficult and inconvenient to perform, even though the picture of BFP’s value is very important for someone to find out the chances of being obese. To overcome this, data mining techniques can be used to measure the predictions of BFP values in a more practical way. This study implements data mining techniques, namely the CART and M5’ algorithm to predict a person's BFP value based on his/her body measurement. The CART algorithm uses the sample average values at leaf nodes to make numerical predictions, while the M5' algorithm builds a regression model for each leaf node with a hybrid approach. Regression trees provide a simple way of explaining the relationship between features and numerical results, but more complex model trees also provide more accurate results. In this study, the results show that the M5' algorithm is superior to the BFP dataset with a correlation value of 0.86 and an MAE value of 3.86.
Sipekernik: Sistem Pemantau Kekeruhan Air dan Pengairan pada Akuaponik Menggunakan Sensor Turbidity, LDR dan Water Level Nur Aziezah; Walidatush Sholihah; Inna Novianty; Mega Romadhona; Anggi Mardiyono
Jurnal Teknologi Informasi dan Multimedia Vol. 4 No. 4 (2023): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v4i4.324

Abstract

Aquaponics is an alternative to cultivating plants and fish in one place. This technique integrates fish farming with plants. In this case, aquaponic plants utilize nutrients from fish waste. Plants in aquaponics function as a biofilter, which will reduce these toxic substances into substances that are not harmful to fish and supply oxygen to fish-keeping ponds. With this technique, there will be a symbiosis of mutualism or a mutually beneficial cycle. The advantages obtained are the efficiency of water use and the reduction of waste contamination resulting from disposal into public waters. The water recirculation period affects the quality and quantity of fish and plants produced. Turbidity for cultivation should be no more than 25 NTU. Therefore, this tool is designed to detect the turbidity value of fish pond water in order to know the time to drain the pond using a turbidity sensor and regulate water irrigation in aquaponic installations based on light intensity values so that water does not stagnate in the installation pipe. The manufacture of this tool uses several components, such as an Arduino as a microcontroller, LDR (Light Dependent Resistor) sensor functions to turn on and off the pump, turbidity sensor functions to determine the turbidity value of pool water, and water level sensor functions to adjust the water level when draining and filling. pond water. At pump 1, the water will turn on if the intensity value of the LDR sensor is 650. If the turbidity sensor value is 25 NTU, then pump 2 will turn on and dump pool water into the shelter. After the pond water is drained to the specified height level, pump 3 will turn on to fill the fish pond with water. Pump 3 will stop when the water level is > 665.

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