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All Journal Jurnal Teknimedia: Teknologi Informasi dan Multimedia International Research on Big-data and Computer Technology (IRobot)
Fitriani Fitriani
STMIK Syaikh Zainuddin Nahdlatul Wathan Anjani Lombok Timur NTB
Computer Science & IT Control & Systems Engineering Engineering

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KLASIFIKASI JENIS BUNGA DENGAN MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (CNN) Fitriani Fitriani
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 2 No. 2 (2021): Desember 2021
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1766.595 KB) | DOI: 10.46764/teknimedia.v2i2.39

Abstract

Flowers are an aesthetic component that is part of human life, in Indonesia there are many types of flowers, and each type has different characteristics, both in color and shape. In everyday life, people rarely know the type of flower so that many people often have difficulty determining the type of flower they see. This study aims to build a flower classification system using CNN for its classification. Convolutional neural network (CNN) is a type of deep learning algorithm that can determine any object in an image, recognize and distinguish one image from another. Based on the test scenarios carried out, the system can predict the type of interest with a probability accuracy value of 0.91.
PEMETAAN LOKASI KEBAKARAN HUTAN DAN LAHAN DI NTB DENGAN MENGGUNAKAN ALGORITMA NAIVE BAYES Rachmawati Oktaria Mardiyanto; Fitriani Fitriani; Ridwan Joko Purnomo; Kusrini Kusrini; Dina Maulina
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 2 No. 2 (2021): Desember 2021
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (304.49 KB) | DOI: 10.46764/teknimedia.v2i2.44

Abstract

Forest and land fires are one of the environmental problems in terms of economic and ecological harm. The number of cases of forest fires in the province of NTB has increased dramatically, causing dangerous smog. The increasing incidence of forest and land fires is evidenced by the increasing area burned and the frequency of fires in the last few decades. This study aims to classify the locations of forest and land fires and the causes of fires that occur in NTB. This research has used 104 data in three years (2017-2019) taken from the website of the Department of Environment and Forestry of the province of NTB. The classification model for mapping forest and land fires and the causes of fires uses the Naïve Bayes algorithm with an accuracy value of 55.555%. Thus, it can be concluded that the classification model using Naïve Bayes has the potential to be used effectively so that it can classify the location of forest and land fires and the causes of fires.
ANALISIS SENTIMEN MASYARAKAT TERHADAP PELAKSANAAN P3K GURU DENGAN ALGORITMA NAIVE BAYES DAN DECISION TREE Fitriani Fitriani; Ema Utami; Anggit Dwi Hartanto
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 3 No. 1 (2022): Mei 2022
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v3i1.53

Abstract

The implementation of education in Indonesia is still inseparable from the problems of teacher management, honorary teachers, and bureaucratic reforms that affect the quality of education and the work climate in it. In an effort to improve the quality of public services by the State Civil Apparatus (ASN), the Ministry of Education and Culture agreed with the Ministry of Empowerment of State Apparatus and Bureaucratic Reform and the Ministry of Finance to change the government employee teacher recruitment system from accepting Civil Servant Candidates (CPNS) to Government Employees by Work Agreement (PPPK) which in its implementation still leaves several problems and pros and cons. Therefore, the researchers conducted a sentiment analysis in the field of data mining on the Implementation of Teacher Teacher Training on social media Twitter as many as 871 data which were then filtered and cleaned into 519 data due to duplicate data, empty data and data cleaning. The author uses the Naive Bayes and Decision Tree methods to compare the accuracy of the two methods. The researcher uses RapidMiner version 9.10.1 tools. The results showed that the sentiment analysis of Twitter data on teacher PPPK using the Naive Bayes method achieved an accuracy rate of 100.00%. Where is the class precision for pred. negative is 100.00% and pred positive is 100.00%, in the Decision Tree method the accuracy rate reaches 53.95%. Where is the class precision for pred. negative was 0.00% and pred positive was 53.95%. In this study, it can be seen that the Naive Bayes method is a method that has a higher accuracy rate than other methods with an accuracy rate of 100.00%. Keywords: Sentiment Analysis; PPPK; Indonesia; Data Mining
LITERATUR SURVEY : PEMANFAATAN TEKNOLOGI UNTUK PENGELOLAAN SAMPAH Ma'we, Hannatul; Fitriani Fitriani; Heri Wijayanto
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 5 No. 1 (2024): Juni 2024
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v5i1.184

Abstract

The majority of countries are currently struggling with unsustainable levels of waste production and lack of recycling, especially household waste, and this field is in dire need of new solutions. In general, the waste management sector has difficulties with a lack of consumer trust, fraud, manipulation, significant manual processes, and low levels of information and control. Waste is the result of waste from various activities carried out daily by humans who do not have clothing, as a result of which waste can cause losses because it will cause floods, increase climate warming, cause bad odors, disturb beauty to worsen environmental sanitation. The purpose of this study is to provide an overview of various studies on Waste Management by utilizing technology, namely how methods are applied in regions in Indonesia and other countries in managing waste both waste from households, hazardous biomass, and industry. The study also reviewed 12 scientific papers that have been published in various international journals. The most frequently used management method is utilizing technology based on websites, android, and blockchain with waterfall and incremental software development processes. Keywords: Enter keywords or phrases in alphabetical order, separated by commas. The number of keywords must be between 3-5 words.
Media Pembelajaran Berbasis Aplikasi Android Menggunakan Powerpoint Ispring Suite Pada Materi Jaringan Komputer Dan Internet Azmi, Muhammad; Fitriani, Fitriani; Rusdan, Rusdan
International Research on Big-Data and Computer Technology: I-Robot Vol 8, No 2 (2024): September
Publisher : UNIVERSITAS DHARMA WACANA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53514/ir.v8i2.574

Abstract

Media pembelajaran berbasis aplikasi Android menggunakan PowerPoint Ispring Suite pada materi jaringan komputer dan internet memiliki beberapa tujuan. Pertama, meningkatkan kualitas pendidikan dengan memanfaatkan teknologi yang modern dan efektif. Kedua, meningkatkan motivasi siswa dalam belajar dengan menggunakan media yang interaktif dan menarik. Ketiga, meningkatkan kemampuan guru dalam mengajar dengan menggunakan media yang mudah digunakan dan dapat diakses secara online dan offline.
SISTEM INFORMASI PEMASARAN PRODUK JAJANAN LOMBOK BERBASIS E-COMMERCE Muhammad Fahrurrozi; Yulistian Hidayaty; Muhammad Azmi; Yudi Sutaryana; Fitriani Fitriani; Khairunnazri Khairunnazri
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 6 No. 1 (2025): Juni 2025
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v6i1.286

Abstract

Ombak Food is one of the micro, small and medium enterprises (UMKM) that is used as a reference source, and a research place used to build an E-Commerce-based Marketing Information System Application. Ombak Food is an MSME that was established in 2017. Ombak Food originally came from the Sustainable Food House Area (KRPL) program in Bonjeruk Village, Jonggat District, Central Lombok Regency, West Nusa Tenggara (NTB). The Marketing Process running at Ombak Food still uses social media in the form of Instagram, Facebook, and Whatsapp, which is felt to be less than optimal in promoting products, accompanied by minimal access to information about new products owned for consumers to access, and recording incoming orders, is still done manually so that there is a lot of documentation of ordering goods that are input incorrectly and written repeatedly. One alternative that can be done to simplify the marketing and sales process is to use a website-based e-commerce information system that can facilitate Ombak Food in marketing products and the Sales Process Effectively. From the results of using the e-commerce-based information system application, the owner of Ombak Food felt a significant change in the sales process carried out, marked by an increase in the number of purchases made by consumers. The marketing process for new products produced is also easier to market.
Co-Authors Anggit Dwi Hartanto Dina Maulina Ema Utami Heri Wijayanto Khairunnazri Kusrini Kusrini Ma'we, Hannatul Muh. Fahrurrozi Muhammad Azmi Muhammad Azmi, Muhammad Rachmawati Oktaria Mardiyanto Ridwan Joko Purnomo Rusdan Rusdan Yudi Sutaryana Yulistian Hidayaty