Garuda - Garba Rujukan Digital

Komputasi Budaya Untuk Pencarian Gambar Semantik Pada Lukisan Budaya Indonesia Dengan Deteksi Dan Informasi Aliran Lukisan Ratri Cahyaning Winedhar; Ali Ridho Barakbah; Achmad Basuki; Arvita Agus Kurniasari
Jurnal Teknologi Informasi dan Terapan Vol 8 No 1 (2021)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v8i1.224

Lukisan merupakan salah satu gambaran kompleks yang mencerminkan pengamatan dan perasaan seniman terhadap lingkungan. Kondisi ini memperluas kebutuhan akan sistem pendeteksi citra budaya karena masyarakat awam yang kurang memiliki pengalaman artistik akan sulit mendapatkan kesan lukisannya. Oleh karena itu, peneliti menekankan penerapan lukisan budaya Indonesia ke dalam aplikasi mobile. Sistem yang diusulkan telah diimplementasikan pada 239 lukisan budaya Indonesia yang terdiri dari lima kategori gaya lukisan. Kategorinya adalah abstraksionisme, naturalisme, ekspresionisme, realisme, dan romantisme. Sistem mengekstrak 3 fitur, yaitu fitur warna, bentuk, dan tekstur. Ekstraksi ciri warna menggunakan Histogram 3D Color Vector Quantization. Ekstraksi fitur bentuk menggunakan Connected Component Labeling Algorithm (CCL) dengan menghitung nilai area, diameter setara, luas, convex hull, soliditas, eksentrisitas, dan perimeter masing-masing objek. Ekstraksi fitur tekstur menggunakan Gabor Transformation dengan 40 kernel. Sedangkan untuk ekstraksi impresi dilakukan survey terhadap beberapa orang tentang impresi lukisan budaya Indonesia. Survei ini dilakukan terhadap responden yang memahami seni lukis seperti pelukis, pemerhati lukisan, dan orang-orang yang berkecimpung di dunia seni rupa. Untuk menunjukkan gaya lukisan peneliti menggunakan proses klasifikasi menggunakan K-Nearest Neighbor. Hasil eksperimen menunjukan fitur warna sebagai fitur terbaik dalam impression query

Android-Based Application for Children’s Growth Monitoring as a Complement for Child Development Card Pramuditha Shinta Dewi Puspitasari; Bety Etikasari; Trismayanti Dwi Puspitasari; Ria Chandra Kartika; Lukie Perdanasari; Arvita Agus Kurniasari
Jurnal Teknokes Vol 15 No 1 (2022): March
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v15i1.7

Posyandu is a community activity center to provide health services and family planning. Routine monthly weighing for toddlers is one of the activities carried out by the Posyandu. This activity aims to detect early childhood growth disorders to address these problems quickly and precisely. However, since the Covid-19 pandemic, the toddler Posyandu, held regularly every month, has been temporarily suspended until the pandemic ends. This situation causes monitoring of toddlers' growth, and development cannot be done. Therefore we need a mechanism for monitoring child growth and development that can be done online via a smartphone. In previous research has implemented several desktop, web, and mobile-based information systems, but they do not yet have complex features such as maternal and child health information management. The purpose of this research is to create an android-based application in the form of an information system for Child Development Posyandu, which will contain several features such as immunization schedules, monitoring of child growth and development, health news. This application development uses the design sprint method. The test results with the User Acceptance Test method of this android application to user respondents show that 80% of the applications are in a Good category and can be used at Posyandu.

Pengukuran Karakteristik Lahan Berbasis Internet of Things Lukie Perdanasari; Arvita Agus Kurniasari; Trismayanti Dwi Puspitasari; Bety Etikasari; Denny Trias Utomo; Jumiatun Jumiatun; Octavian Yudha Mahendra
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 3 (2021): November
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i3.170

Climate change is one of the factors that affect crop production, so it is necessary to implement strategies and technologies to maintain the availability of cereal crops in Indonesia. It is necessary to prepare the land for the early planting process and monitoring plant growth in order to produce maximum crops. Utilization of the Internet of Things (IoT) can be used to monitor soil temperature and pH in real time, so hope for the long term it can increase crop production. The purpose of this research is to make a prototype design system with Internet of Things (IoT) technology to obtain temperature and pH data. This tool will test the functional accuracy. This research for measuring the characteristics of land based on IOT uses a prototype method consisting of Communication, Quick Plan, Modelling Quick Design, Construction of prototype, and Development Delivery & Feedback. Assembling the Wemos microcontroller, D1 R1, Breadboard, DS18B20 temperature sensor, 4700 Ohm Resistor, soil pH sensor, and 16x2 I2C LCD and connected using jumper cables with application control will be implemented into Wemos D1 R1 using the C++ programming language using Arduino IDE. Testing of the tool is carried out to ensure that the sensor is functionally able to read the temperature and pH of the soil correctly. Testing used black box method and was implemented in 5 land axis points at Politeknik Negeri Jember. The results used tools and litmus paper showed the same value. The conclusion and benefit of detecting land characteristics using the Wemos microcontroller showed more detailed measurement results with numbers behind the comma and a tool accuration rate of 100%.

Sistem Informasi Diagnosis Ikterus Neonatorum Menggunakan Metode Fuzzy Tsukamoto Arvita Agus Kurniasari; Trismayanti Dwi Puspitasari; Ria Chandra Kartika
Jurnal Teknologi Informasi dan Terapan Vol 9 No 2 (2022)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v9i2.274

Angka Kematian Bayi (AKB) di Indonesia masih cukup tinggi dibandingkan negara-negara Asia Tenggara. Hal ini perlu mendapat perhatian karena suatu negara dapat dinilai dari tingkat kesehatannya dari AKB. Salah satu penyebab AKB yang masih tinggi adalah penyakit kuning pada bayi (Icterus Neonatorum). Bayi dapat mengalami ikterus fisiologis (normal) dan patologis (parah) tergantung dari gejala yang ditimbulkan. Dari kedua jenis penyakit kuning tersebut, sulit untuk membedakan antara penyakit kuning yang normal dan yang parah tanpa pemeriksaan lebih lanjut sehingga kebanyakan orang salah dalam melakukan pengobatan awal. Berdasarkan permasalahan tersebut akan dibuat suatu sistem informasi untuk diagnosis penyakit kuning pada neonatus dengan fuzzy tsukamoto. Dengan sistem ini, masyarakat mendapatkan edukasi tentang penyakit kuning neonatus dan dapat mengetahui tingkat keparahan bayi yang diderita. Sistem tersebut juga memberikan alternatif solusi yang dapat dilakukan saat bayi mengalami penyakit kuning sesuai dengan tingkat keparahannya. Penelitian ini menggunakan logika fuzzy dengan metode Tsukamoto untuk membantu melakukan diagnosa. Hasil yang ditampilkan berupa persentase keparahan ikterus neonatorum. Setelah dilakukan pengujian akurasi kepada pakar didapatkan hasil 70% sistem dapat berjalan sesuai dengan skenario yang diharapkan.

Penerapan Algoritma Certainty Factor pada Metode Case-Based Reasoning untuk Sistem Pakar Deteksi Stunting I Gede, Wiryawan; Wiryawan, I Gede; Yuwita, Kirana; Kurniasari, Arvita Agus
Jurnal Pekommas Vol 9 No 1 (2024): Juni 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i1.5279

Stunting is a severe problem that significantly impacts future generations' growth and the quality of Human Resources (HR). In addition to the under-five age factor, stunting is also influenced by several interrelated factors. This research aims to apply the Certainty Factor algorithm in an expert system to detect stunting using the Case-Based Reasoning Method. The application of the CF algorithm by utilizing expert judgment has successfully strengthened the CBR method steps by calculating the similarity level. The results of the User Acceptance Test by 25 respondents showed an approval rate of 85%. If interpreted using the user approval range, these results are 81% - 100%, with a very high level of agreement. Based on calculating risky and safe stunting example cases, the CBR Method shows a similarity rate of 29.26% and 70.73%, respectively. Furthermore, safe stunting cases were analyzed using the CF algorithm with a confidence ratio of 91%.

Pelatihan Pengemasan Sayur Hidroponik dan Pemasaran Berbasis Multimedia Sebagai Upaya Peningkatan Keterampilan Siswa SLBN Jember Pertami, Rindha Rentina Darah; Puspitasari, Trismayanti Dwi; Jumiatun, Jumiatun; Kurniasari, Arvita Agus; Maulidiyah, Azizah Afni
Journal of Community Development Vol. 5 No. 3 (2025): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v5i3.1445

Jember State Special School (SLB) through the Pancasila Student Profile Strengthening Project (P5) vocational through the theme "Let's garden". The implementation of the project has several obstacles, namely the limited number of teachers in managing the number of students if they have to do direct practical activities. So that a visual, communicative, and interesting learning method is needed so that students can easily understand it. The purpose of this activity is to improve the skills of SLB N Jember students. The implementation time is from May to August 2024. The methods used include observation, training in practice, monitoring, and evaluation. They are learning with visual or props techniques Based on the results of the activities that have been carried out. That there are 81% of students understand hydroponic vegetable packaging, and 60% of students who can understand the concept of packaging design, and marketing carried out through WhatsApp business so that they can improve their Agro-Entrepreneurship skills. This activity hopes to foster an entrepreneurial spirit in students as a provision after school. The training uses a learning system with visual or props techniques assisted by teachers at school. This activity continues to be accompanied by monitoring and evaluation so that it can be sustainable.

ARIOT: Permainan Edukasi Pertanian Cerdas Sebagai Upaya Menumbuhkan Agro-Entrepreneurship Pada Siswa Penyandang Disabilitas Tuna Rungu Kurniasari, Arvita Agus; Puspitasari, Trismayanti Dwi; Kurniasari, Leli
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.518

Sekolah Luar Biasa (SLB) are education for students who have difficulty in participating in the learning process because they have special physical, emotional, mental and social needs, but have the potential for intelligence and special talents. SLB Negeri Jember also faces problems in the educational process, one of which is deaf students who experience barriers and disturbances in verbal communication both expressively and receptively. This resulted in the message being conveyed and received a lot of misunderstanding of meaning. Online learning activities during the Covid-19 pandemic at SLB cannot be fully carried out online due to the limitations of students. The activity plans and solutions provided for the service are using the Android-based Augmented Reality (AR) game learning method. Making this method begins with the design sprint stage to communicate with the relevant team, namely psychologists and teachers, followed by AR programming and ends with validation so that the application has been tested for students with special needs. The results of the implementation to determine the level of acceptance of the use of the application is obtained a percentage value of 80%. Suggestions for the next development are the implementation of direct tools for IoT so that students gain new knowledge about sensor implementation

ARIOT: Permainan Edukasi Pertanian Cerdas Sebagai Upaya Menumbuhkan Agro-Entrepreneurship Pada Siswa Penyandang Disabilitas Tuna Rungu Kurniasari, Arvita Agus; Puspitasari, Trismayanti Dwi; Kurniasari, Leli
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.518

Sekolah Luar Biasa (SLB) are education for students who have difficulty in participating in the learning process because they have special physical, emotional, mental and social needs, but have the potential for intelligence and special talents. SLB Negeri Jember also faces problems in the educational process, one of which is deaf students who experience barriers and disturbances in verbal communication both expressively and receptively. This resulted in the message being conveyed and received a lot of misunderstanding of meaning. Online learning activities during the Covid-19 pandemic at SLB cannot be fully carried out online due to the limitations of students. The activity plans and solutions provided for the service are using the Android-based Augmented Reality (AR) game learning method. Making this method begins with the design sprint stage to communicate with the relevant team, namely psychologists and teachers, followed by AR programming and ends with validation so that the application has been tested for students with special needs. The results of the implementation to determine the level of acceptance of the use of the application is obtained a percentage value of 80%. Suggestions for the next development are the implementation of direct tools for IoT so that students gain new knowledge about sensor implementation

APPLICATION OF DEEP LEARNING TECHNIQUES FOR ENHANCING ARABIC VOCABULARY ACQUISITION IN STUDENTS AT MTS DARUN-NAJAH Isnaini, Misbachur Rohmatul; kurniasari, arvita agus; Arifianto, Aji Seto; Dewi Puspitasari, Pramuditha Shinta
Ultimatics : Jurnal Teknik Informatika Vol 16 No 2 (2024): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v16i2.3701

Arabic vocabulary recognition is an important aspect of learning at MTs Darun - Najah, a school that emphasizes on Islamic religious education. This research proposes the application of Convolutional Neural Network (CNN) and EfficientNet B7 to create learning media for Arabic vocabulary recognition for students. This method is implemented in the form of a web-based application. The built application offers an innovative approach in learning by utilizing deep learning. The results of several trials conducted showed that the application of Convolutional Neural Network (CNN) and EfficientNet B7 achieved 90% accuracy with an average precision of 94.6%, recall 94.6%, and f1-score 94.6%. Tests using User Acceptence Testing (UAT) have a success accuracy rate of 87.2% which proves that users can accept quite well.

Approach Convolutional Neural Network LeNet-5 for Interactive Learning of Korean Syllables (Hangul) Al Fitra Yudha, Vasyilla Kautsar; Kurniasari, Arvita Agus; Arifianto, Aji Seto; Afriansyah, Faisal Lutfi
IJNMT (International Journal of New Media Technology) Vol 11 No 2 (2024): Vol 11 No 2 (2024): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v11i2.3705

The increasing popularity of South Korean culture among Indonesian society has led to a growing interest in gaining a deeper understanding of the country, including a desire to master the Korean language. However, learning the Korean alphabet (hangul) often presents challenges due to its characters being unfamiliar to the Indonesian people. Therefore, engaging and interactive learning media are needed to assist in the learning process. Within this endeavor, a learning website called Learn Hangul was developed, focusing on two main features: learning hangul characters and their arrangement, as well as practicing writing syllables using Korean letters. This website was developed using the Convolutional Neural Network (CNN) LeNet-5 to facilitate learning, with black box testing results indicating good functionality. Model performance evaluation yielded satisfactory values, with model accuracy at 89.2%, precision at 89.7%, recall at 88.8%, and an F1-score of 89.2%. Direct testing with users also showed a high success rate, with 80% of respondents experiencing an increase in their knowledge of Korean characters (Hangul) after trying to learn them on the Learn Hangul website. Thus, the Learn Hangul website serves as a useful learning tool for those interested in studying the Korean alphabet (hangul).

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