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Contact Name
Syahroni Hidayat
Contact Email
jtim.sekawan@gmail.com
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Journal Mail Official
jtim.sekawan@gmail.com
Editorial Address
Jl. Bandeng No.25, Bintaro, Kec. Ampenan, Kota Mataram, Nusa Tenggara Bar. 83511
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Nusa tenggara barat
INDONESIA
Jurnal Teknologi Informasi dan Multimedia
ISSN : 27152529     EISSN : 26849151     DOI : https://doi.org/10.35746/jtim.v2i1
Core Subject : Science,
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 275 Documents
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
Jurnal Teknologi Informasi dan Multimedia Vol. 2 No. 4 (2021): February
Publisher : Sekawan Institut

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
Jurnal Teknologi Informasi dan Multimedia Vol. 2 No. 4 (2021): February
Publisher : Sekawan Institut

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.
Aplikasi Sistem Informasi Pengajuan Cuti Karyawan Berbasis Web Pada PT. Gomeds Network Ubaidillah Ubaidillah; Fatmawati Fatmawati
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 1 (2021): May
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i1.120

Abstract

PT. Gomeds Network is an Internet Service Provider (ISP) company based in the city of Gorontalo. This company has problems or obstacles in the process of applying for leave for its employees where leave applications are still handled manually, even though personal computers are available as a support facility for work activities. All of this allows errors or inaccuracies in employee leave data at PT. Gomeds Network. The purpose of this research is to build a web-based employee leave application information system which makes it easier for employees to apply for leave and get complete and detailed information related to leave, also this leave application can be done online anywhere that can be done. connected to the internet so there is no need to meet with the staffing department. The research method used is the waterfall system development model or systems development life system (SDLC) with unified modeling language (UML) where the tools used to describe the system model are in the form of activity diagrams, use case diagrams, component diagrams and deployment diagrams and in making bases. data using entity relationship diagrams (ERD). With this employee leave application information system application can help employees in filing leave and make it easier for companies to process and manage employee leave data and incoming data can be stored safely in the database and can improve the performance and time efficiency in activities in the staffing department..
Kajian Perancangan Karakter Maskot Universitas Pendidikan Mandalika Fanny Printi Ardi; Pyo Apriliana Munawarah; Mi’rajus Subyan Rahmat; Lalu Aswandi Mahroni G
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 1 (2021): May
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i1.123

Abstract

Mascot is a promotional media that is familiar in promotional media. Several companies to universities have mascots as icons that can represent higher education. UNDIKMA as a new joint-form campus has not used the media in the form of mascots for promotion. considering that NTB is a heterogeneous region with respect to ethnicity, religion, and race, so it requires a mascot as a brand ambassador for UNDIKMA. This is important because in the NTB region there is no tertiary institution that has a mascot. In the previous study, there was no study on mascot creation for universities. The purpose of this research is to design a mascot with a method approach that puts forward the target audience. While the method used is the Design Thinking Method developed by Tim Brown. Design thinking is a way to solve ambiguous and unfamiliar problems, rediscover problems in a human-centered way, brainstorm to generate multiple ideas, and take a hands-on approach. Very useful for prototyping and testing. Design thinking also includes continuous experimentation, such as sketching, prototyping, experimenting, and trying out different concepts and ideas. The target outcome of this research is to hopefully create a mascot design. In addition, it is also hoped that the output in the form of a mascot design guide line will also be successfully written. So that the application of the mascot can be correct and in accordance with the objectives expected by the designer.
Implementasi Kombinasi Caesar Cipher dan Hill Cipher Menggunakan Modifikasi Sandi Morse Untuk Pengamanan Pesan Berbasis Teks Muhammad Azmi; Zulkarnaen Zulkarnaen
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 1 (2021): May
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i1.124

Abstract

The security and confidentiality of a message or document sent to other people must be guaranteed its confidentiality and security, so that the message or document is not misused by parties who do not have an interest in the message. Security and confidentiality of messages or documents can be kept confidential and secure by using cryptography. data security and confidentiality issues are very important from an information. Because of the importance of this information, the person concerned will question whether the authenticity of the information is still maintained or whether the information has been hijacked. So in the process of securing data and information with cryptography, of course it requires a qualified algorithm to maintain the confidentiality of the information, so that the purpose of this research is how to maintain the confidentiality of information by converting information into codes known only to the sender and receiver by using cryptographic techniques and steganography. Then the process of securing the data or information the researcher uses a combination of Caesar Chiper and Hill Chiper which is modified into Morse code then the resulting CipherText results will be saved into a JPEG file using the LSB (Least Significant Bit) Steganography method. The process of storing messages or ciphertext into image files will make it difficult for irresponsible people or cryptoanalysts to solve messages sent in the form of images.

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