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JTIM : 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.
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Articles 9 Documents
 1 
Search results for , issue "Vol 2 No 4 (2021): February" : 9 Documents clear
Penerapan Algoritma Decision Tree C4.5 Untuk Memprediksi Kelayakan Calon Pendonor Melakukan Donor Darah Dengan Klasifikasi Data Mining Yuda Irawan
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 2 No 4 (2021): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v2i4.75

Abstract

Based on data from UDD PMI Kampar Regency, many donors must have provisions to become blood donors. So far, blood donor selection has been made manually to determine whether potential donors can donate blood or not. Meanwhile, today's information system has not yet explored further information from the large amount of data stored as knowledge. There is a need for organizational consolidation and continuous evaluation of the performance that has been carried out by PMI in dealing with social and humanitarian problems. By making a data mining application with a classification method using the Decision Tree C4.5 Algorithm in predicting someone worthy or not to donate blood, it can be calculated from the results of variables that are continuous or critical, such as variables of age, body weight, hemoglobin (HB) levels, blood pressure. (systolic and diastolic), The data that enters the information system is calculated using the Decision Tree C4.5 Algorithm formula, which results in detailed results and can produce valid and more accurate values. With the data mining application using the Decision Tree Algorithm C4.5 method, potential blood donors' eligibility can be classified based on age, body weight, hemoglobin, and blood pressure. Hemoglobin with the highest gain value (0.861212618) is the variable that most determines blood donation success.
Penilaian Standar Mutu Pada Aplikasi Tiket Bioskop dengan ISO 27001 dan Fishbone Analisis Ervin Setyawan; Farid Sukmana
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 2 No 4 (2021): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v2i4.110

Abstract

Cinema ticket application services make it easy to purchase movie tickets. Various applications, especially in the business sector, certainly require information security that has been guaranteed to be applied and international information security certificates in ISO 27001 quality standards. Therefore, the requirements for obtaining information security certificates in international quality ISO 27001 need to be analyzed first. It requires a lot of preparedness that must be requested in meeting ISO 27001 quality standards. The purpose of this study is to analyze the application of cinema tickets for ISO 27001 eligibility. Analytical research methods used include clauses, checklists, Likert scales, maturity levels, and fishbone diagrams. The authors' references were based on the writer's team's analysis that the authors made, including graphs, charts, clause scores, checklist scores, Likert scales, maturity levels, and fishbone diagrams. Based on the author's analysis results, the cinema ticket application system does not meet ISO 27001 standards, so much needs to be improved in the system. Likert scale scores are still 19%, while to meet ISO 27001 standards, Likert scale scores must reach at least 60%. The overall problem with assessing this analysis, which results in cinema tickets being inappropriate or not passing ISO 27001 quality standards, is the lack of Likert scale scores and fishbone diagrams. This analytical research hypothesis can be the basis for future research that the application can meet the feasibility test of ISO 27001 quality standards.
Rancang Bangun Sistem Informasi Penjualan Jasa Percetakan Berbasis Website Studi Kasus : CV. Prima Framedia Eka Puspita Sari; Eni Pudjiarti
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 2 No 4 (2021): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v2i4.112

Abstract

CV. Prima Kreasi Framedia is a printing company located in East Jakarta. CV. Prima Kreasi Framedia started its operation in 2013. The main business of printing books, banners, brochures, and others is an affiliated company or not a group's subsidiary, but purely a company that operates independently. But the marketing system on the CV. Prima Kreasi Framedia is still not good enough. The way used in marketing the product is still using print media such as putting up banners and banners and even printing and distributing leaflets. For bookings and purchases, always can not be done online, requiring customers to come directly to the company to make booking and purchase transactions, the way is considered very inefficient. It takes an attractive website to market products and improves services and transactions more effectively and efficiently. The research method used consists of observation, interview, and literature study, while the system development model used is waterfall model, with PHP programming language and database used is MySQL. The result of this research is Website Based Printing Service Sales Information System. The website created can be used to source information about products and can also conduct transactions online efficiently.
Sistem Pendeteksi Gerak Menggunakan Sensor PIR dan Raspberry Pi Akbar Juliansyah; Ramlah Ramlah; Dewi Nadiani
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 2 No 4 (2021): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v2i4.113

Abstract

Digital security and monitoring systems are entering a new era. Every industry is busy developing security systems according to their individual needs. What can be done is by providing a security perimeter around the assets to prevent unwanted things. There are currently many CCTV (Closed Circuit Television) based security systems; CCTV security systems also have less effective because they require more devices and large enough storage memory. Also, there are other solutions, namely systems that are built using PIR sensors and Raspberry Pi. The PIR sensor is used to detect infrared emissions from humans, so the target object is a human. The PIR sensor also receives heat radiation from humans, so when humans move, this sensor will receive changes in radiation emitted by humans. The purpose of this study is to simulate a solution to the problem of infrastructure design for the development of a physical asset security system using a Wireless Sensor Network and to find out how the security system works using a PIR sensor and Raspberry Pi Model B. The research method used is the Network Development Life Cycle (NDLC) approach. This study illustrates that the Raspberry Pi with hardware capabilities and Rasbian OS and the Python programming language support building a security system. The HC-SR501 PIR sensor can also detect moving objects from the right, left, and front. Email and SMS can be well integrated to produce reports according to the sensor's movement.
Deep Learning Identifikasi Tanaman Obat Menggunakan Konsep Siamese Neural Network Kartarina Kartarina; Lalu Zazuli Azhar Mardedi; Miftahul Madani; Miftahul Jihad; Regina Aprilia Riberu
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 2 No 4 (2021): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v2i4.114

Abstract

One of the roles of humans in community empowerment activities is in the health sector. Community empowerment in this field can be carried out through efforts to improve community health by utilizing family medicinal plants. The purpose of using family medicinal plants is so that the community can preserve these plants, reduce hospital costs, and serve as access to first aid for health if health services are difficult to reach. Based on this explanation, to increase public knowledge and understanding of the types of Toga and its benefits as a medicinal ingredient, it can be done several ways. One of them is through an in-depth learning approach. The deep learning approach with Siamese Neural Network is by comparing two patterns and producing an appropriate output based on the similarity of the two patterns. The application of Siamese Neural Network with an Android Smartphone is the right choice because it can facilitate the community in terms of usage. Based on these problems, the writer wants to build an application that can identify plants based on Android-based leaf images by applying the Siamese Neural Network approach. In this study, the results achieved were that the Siamese Neural Network could be implemented on Android-based smartphones. The application was able to identify family medicinal plants based on leaves.
Perancangan Media Video Company Profile “LPK Logika Internasional” Robby Annashri; Sandi Justitia Putra
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 2 No 4 (2021): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v2i4.115

Abstract

To improve service quality, a company must be able to design an informative and persuasive promotional media. LPK Logika Internasional is a company engaged in Japanese language training and courses in the city of Mataram. The problem with this company is a significant decrease in the number of students from year to year. Also, the geographic location that is less strategic makes the company's popularity low so that it affects its existence. This study discusses designing a video company profile at LPK Logika Internasional as useful media information and company promotion. The research method used is the design method (Visual Communication Design), which starts from object/problem analysis, synthesis or data processing, and implementation. The results of this research are in the form of an informative and persuasive, informative and persuasive work of Video Company Profile of the LPK Logika International company. This work expected to be a solution to introduce and promote the company's profile to the fullest.
Penerapan Algoritma Naive Bayes Untuk Klasifikasi Penerima Bantuan Surat Keterangan Tidak Mampu Nurulfah Riyanah; Fatmawati Fatmawati
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 2 No 4 (2021): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v2i4.117

Abstract

Rukun Warga 002 Kelurahan Meruya Selatan runs a government program, namely assistance for recipients of a certificate of being unable to meet the community's needs and aims to improve the community's welfare. Rukun Warga 002 has community services, namely death certificate services, making ID cards, disability certificates (SKTM), birth certificates, and many more. In carrying out assistance, most of the community complained that they did not get help, while some people were considered capable of getting this assistance. The researcher carried out data processing techniques with observation, literature study, and questionnaires based on this background. In contrast, the data processing used data mining to determine the incapable recipient's proper or inappropriate status, namely by using the Naïve Bayes algorithm while using the Rapidminer application, aiming to test the dataset's accuracy. In the dataset of incapacitated recipients used in this study, there are 35 records with eight attributes: name, occupation, age, status, income, vehicle, ownership, and roof of the building, while this research aims to predict and produce level values. Accuracy in providing assistance letters of incapacity to the people of 002 sub-district of Meruya Selatan using the naïve Bayes method. The trial results show that the system accuracy rate is 62.86%, a recall of 78.57%, and 52.38% precision.
Klasifikasi Jenis Kendaraan Menggunakan Metode Extreme Learning Machine Rispani Himilda; Ragil Andika Johan
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 2 No 4 (2021): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v2i4.118

Abstract

The number of vehicles in Indonesia has increased each year, both two-wheeled and four-wheeled vehicles; this is inversely proportional to the development of road infrastructure in Indonesia, which has not experienced much change or improvement. Supposedly, with the increase in the number of vehicles, road infrastructure must also keep pace so that things such as the accumulation of cars on the road do not occur, traffic accidents and congestion become obstacles to carrying out activities. Therefore, it is necessary to make a system to detect and classify vehicles' types in this study using two types of vehicles, namely cars and motorbikes. According to the Indonesian Central Statistics Agency (BPS), it is the highest number. The classification system uses digital image processing techniques, a science to study how an image is formed, processed, and analyzed by a computer to produce information that humans can understand. The method used in this research is the Extreme Learning Machine (ELM), a part of artificial intelligence in feedforward neural networks, where this method can solve regression and classification problems. The data used in this study are 25 images of cars and motorbikes as training data and 15 photos of cars and motorbikes as test data, respectively. The results obtained from this study are a system for classifying two types of vehicles, namely cars and motorbikes, with an accuracy rate of 86.6%.
Identifikasi Kebutuhan Masyarakat Nusa Tenggara Barat pada Pandemi Covid-19 di Media Sosial dengan Metode Crawling Jian Budiarto
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 2 No 4 (2021): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v2i4.119

Abstract

People can write to the government about what they want through social media in the freedom of information era. Especially in the Covid-19 pandemic, the public's desire for government attention is getting higher. The purpose of this activity is to collect community needs at the beginning of the pandemic. The period of information retrieval is from March 30 to April 5, 2020. The activity uses the crawling method, which is gathering information with browser tools. The implementation stage starts from taking information with selenium, identifying posts and comments with Html tags, calculating the emergence of issues with N-gram NLP, and analyzing sentiment with Naive Bayes and Support-Vector Machine. The results showed that the community did not have panic to need foods with a total reaction of 172. The community was more worried about the spread of outbreaks from outside NTB with a reaction of 1,421.

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