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Dhian Satria Yudha Kartika

Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya

Author-ID : 826779

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Transportation Other

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Articles

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Classification of color features in butterflies using the Support Vector Machine (SVM) Dhian Satria Yudha Kartika; Hendra Maulana
IJCONSIST JOURNALS Vol 2 No 02 (2021): March
Publisher : International Journal of Computer, Network Security and Information System

Research in digital images is expanding widely and includes several sectors. One sector currently being carried out research is in insects; specifically, butterflies are used as a dataset. A total of 890 types of butterflies divided into ten classes were used as a dataset and classified based on color. Ten types of butterflies include Danaus plexippus, Heliconius charitonius, Heliconius erato, Junonia coenia, Lycaena phlaeas, Nymphalis antiopa, Papilio cresphontes, Pieris rapae, Vanessa atalanta, Vanessa cardui. The process of extracting color features on butterfly wings uses the RGB method to become HSV color space with color quantization (CQ). The purpose of adding CQ is that the computation process is carried out faster without reducing the image's information. In the color feature extraction process, the image is converted into 3-pixel sizes and normalized. The process of normalizing the dataset has the aim that the value ranges in the dataset have the same value. The 890 butterfly dataset was classified using the Support Vector Machine (SVM) method. Based on this research process, the accuracy of the 256x160 pixel size is 72%, the 420x315 pixel is 75%, and the 768x576 pixel is 75%. The test results on a system with a 768x576 pixel get the highest results with a precision value of 74.6%, a recall of 72%, and an f-measure of 73.2% Keywords—image processing; classification; butterflies; color features; features extraction

Traffic Sign Detection Using Region And Corner Feature Extraction Method Hendra Maulana; Yudha Kartika, Dhian Satria; Riski, Agung Mustika; Nurlaili, Afina Lina
IJCONSIST JOURNALS Vol 3 No 1 (2021): September
Publisher : International Journal of Computer, Network Security and Information System

Traffic signs are an important feature in providing safety information for drivers about road conditions. Recognition of traffic signs can reduce the burden on drivers remembering signs and improve safety. One solution that can reduce these violations is by building a system that can recognize traffic signs as reminders to motorists. The process applied to traffic sign detection is image processing. Image processing is an image processing and analysis process that involves a lot of visual perception. Traffic signs can be detected and recognized visually by using a camera as a medium for retrieving information from a traffic sign. The layout of different traffic signs can affect the identification process. Several studies related to the detection and recognition of traffic signs have been carried out before, one of the problems that arises is the difficulty in knowing the kinds of traffic signs. This study proposes a combination of region and corner point feature extraction methods. Based on the test results obtained an accuracy value of 76.2%, a precision of 67.3 and a recall value of 78.6.

Digital Image Segmentation Resulting from X-Rays of Covid Patients using K-Means and Extraction Features Method Dhian Satria Yudha Kartika; Anita Wulansari; Hendra Maulana; Eristya Maya Safitri; Faisal Muttaqin
IJCONSIST JOURNALS Vol 3 No 1 (2021): September
Publisher : International Journal of Computer, Network Security and Information System

The COVID-19 pandemic has significant impact on people's lives such as economic, social, psychological and health conditions. The health sector, which is spearheading the handling of the outbreak, has conducted a lot of research and trials related to COVID-19. Coughing is a common symptoms among humans affected by COVID-19 in earlier stage. The first step when a patient shows symptoms of COVID-19 was to conduct a chest x-ray imaging. The chest x-rayss can be used as a digital image dataset for analysing the spread of the virus that enters the lungs or respiratory tract. In this study, 864 x-rays were used as datasets. The images were still raw, taken directly from Covid-19 patients, so there were still a lot of noise. The process to remove unnecessary images would be carried out in the pre-processing stage. The images used as datasets were not mixed with the background which can reduce the value at the next stage. All datasets were made to have a uniform size and pixels to obtain a standard quality and size in order to support the next stage, namely segmentation. The segmentation stage of the x-ray datasets of Covid-19 patients was carried out using the k-means method and feature extraction. The Confusion Matrix method used as testing process. The accuracy value was 78.5%. The results of this testing process were 78.5% of precision value, 78% of recall and 79% for f-measure

E-commerce Website Development Using Scrum Methods on Small Business Anita Wulansari; Kartika, Dhian Satria Yudha; Agussalim; Wati, Seftin Fitri Ana; Safitri, Eristya Maya; Fitri, Anindo Saka
IJCONSIST JOURNALS Vol 3 No 2 (2022): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v3i2.69

Websites are viewed primarily as a platform from which SMEs can portray a sophisticated image and advertise/market their products. One of the main factor affect the adoption of e-commerce by SMEs is the enviroment influence. On small business, the process of recording orders and sales transactions was done manually. These lead to customers complaints because they have to wait for a long time to get the product. In addition, the owners of small business find it difficult to know the popular products among customers. Moreover, the companys are eager to reach out to potential customers. Therefore, an e-commerce website is required not only as a solution to all these problems but also as a bridge between the business and their customers. The website was developed using the Scrum method. The application development process required three sprints to complete the seventeen product backlogs. The system testing proved the system is running according to its function and is accepted by the user.

ANALYSIS OF FACEBOOK USER PROFILING USING CLUSTERING IMPLEMENTATION Fauzan Atha; Noer Alam Yahya; Dhian Satria Yudha Kartika
IJCONSIST JOURNALS Vol 4 No 1 (2022): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i1.73

In this era that is increasingly developing, it is possible that nearly some human beings use social media as a means of verbal exchange between users. It is not only a means of communique but using social media is used to show their own daily activities or habits. Social media is a media that functions as a medium for socializing from individual to individual based online using digital technology. Where the communication process is done via the internet. Of the several media used for socializing, Facebook is a very popular application. In the use of Facebook which can be accessed from all devices with the internet being the main role, there is a like feature provided by Facebook as a feature for socializing, of course there will be a comparison between the preferred data from some of these devices and from these data we can wonder why people chose mobile over computer or pc to access facebook. To calculate and analyze the existing data, we compared the data by conducting research and looking for Data Mining with the Clustering method using the K-Means Clustering algorithm.

APPLICATION CLUSTER ANALYSIS ON THE GOOGLE PLAY STORE USING THE K-MEANS METHOD Hastri Cantya Danahiswari; Yovan Febriawan Nurpratama; Dhian Satria Yudha Kartika
IJCONSIST JOURNALS Vol 4 No 1 (2022): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i1.74

Implementation of data mining can be used to identify information that will be useful for several parties. There are various methods in data mining, one of the methods used in clusters is the K-Means algorithm. These clusters can be used for android developers in identifying what applications need to be improved and developed to make it better for android users. The results showed that there were two clusters that had different averages. The first cluster is defined as an application that is less attractive to users due to several factors, while for the second cluster it is defined as an application that the user is interested in, caused by the application offering the features that the user needs, is informative, does not require costs and can function properly.

Document Management Application Design At Pt X Renanda Auzan Firdaus; Dhian Satria Yudha Kartika
IJCONSIST JOURNALS Vol 4 No 2 (2023): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i2.89

Documents are one of the most important assets for the sustainability of a company. However, to manage documents properly, it is necessary to have a system that can assist in managing documents related to the company. PT X feels the need to have an application that can help manage company documents effectively and efficiently. Therefore, PT X decided to design a document management application. This application is designed to assist in managing documents related to the company. In addition, this application will also assist in the process of borrowing company documents.This document management application will consist of several main features, including document management features, user data management features, document loan management features, and reporting features. The document management feature will help you manage company documents in an organized and structured manner, making it easier to find the documents you need.After carrying out the design and build of this document management application, it is expected that PT X can be more effective and efficient in managing company documents. Thus, PT X will be able to improve the performance and productivity of its employees, as well as make it easier to manage the documents it has.

Prediction of Birth Rates Using the Naive Bayes Algorithm in the North Sumatra Region Yudha Kartika, Dhian Satria; putra, brillyan; Wibawa Syahalam, Aji Qolbu
IJCONSIST JOURNALS Vol 5 No 1 (2023): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v5i1.109

The birth rate constitutes a significant metric within the field of demographics. It serves as a crucial element influencing the strategic planning and development of a region, particularly in provinces characterized by notably large populations, such as North Sumatra. The process of forecasting an optimal birth rate necessitates the involvement of multiple agencies and services to effectively devise policies pertaining to health, education, and enhanced infrastructure for the future. This study employs modeling techniques utilizing the Naive Bayes algorithm. This particular algorithm represents a probabilistic classification method within the realm of data mining, aimed at predicting birth rates across all districts and municipalities in North Sumatra, leveraging demographic and socio-economic datasets commencing from the year 2022. The dataset encompasses variables such as population statistics, demographics of women of reproductive age, levels of educational attainment, accessibility to health services, and incidences of poverty, all of which were sourced from the Central Statistics Agency (BPS) over a five-year timeframe. The research methodology is executed through several phases, including data preprocessing, feature selection, partitioning of training and test datasets, and a validation testing process to affirm the reliability of the proposed model. The dataset is partitioned into training and test components utilizing a distribution ratio of 70:30. The outcomes of the proposed model's testing are computed, employing a confusion matrix to derive metrics such as accuracy, precision, recall, and F1 scores. The results yield an accuracy value of 85%, a precision of 87%, and an F1 score of 86%. These findings indicate a favorable outcome in regional mapping and reflect an appropriate birth rate. Subsequently, the results are visualized within a geographic information system (GIS) to elucidate the spatial patterns of the predicted birth rate, thereby facilitating local government interventions in specific areas.

Co-Authors Abbel Antya Wicaksana Abbel Antya Wicaksana Abdul Rezha Efrat Najaf Abdul Wahid Achmad Syaifulloh Putra Adela Aurelia Kinaya Dewi Adelia Khoirunnisa Adelia Qouli Varadisa Affiva Lindi Damayanti Afifah Nur Azisah Afina Lina Nurlaili Agung Brastama Putra Agung Satria Bimantara Agus Bisana Putra Agus Tri Sapta Yudha Agussalim Agussalim, Agussalim Ahsani, Muhammad Alif Alfan Sabilal Ainurrohmah, Syafika Aisha Nabila F. H Ajeng Rahayu Mutmainnah Al Rizky, Fariz Alfian Aji Ardiansyah Alfin Nur Faizah Alfin Tri Mulyani Alfin Tri Mulyani Alya Izzah Zalfa Rihadah Ramadhani Nirwana Putri Amalia Anjani Arifiyanti Aminullah, Reza Ana Wati, Seftin Fitri Ananda Devi Muri Utomo Anandi, Harits Hervandhito Putra Anastasya Putri Maharani Anggi Anggraeni Nugraha Anggoro, M. Novianto Anggreani, Nilam Kumallah Ani Dijah Rahajoe Ani Dijah Rahajoe Anindo Saka Fitri Anindya Dewi Nariswari Anisah Aprilia Garciah Anita Amalia Rahma Anita Amalia Rahma Anita Wulansari Anita Wulansari Annisa Dita Putri Kartika Annisa Fahmi Lisnamurti Anny Yuniarti Ariel Sambali Arifian, Mochammad Thoriq Hasan Arochma, Novita Maulana Arya Bimantara, Muhammad Arya Gilang Wiryawan Asaf Khatami Fatwa Ashaby Alamsyah Asif Faroqi Asmara Dita, Dara Julia Audino Hilmy Ashofi Ayu Sherlita Permata Sari, Bella Azarine, Fazara Anggie Azzahra, Farahdzilla Muthianisa Badriyyah, Shofiyyatul Bayu Daffario Ardana Benydiktus Pakpahan Beta Hanan Yuliansa Betrik Muliani Bintang Gymnastiar Briliana, Syabina Kheisa Bunga Annisa Cahya Lingga Wulandari Cahya Maghfira Prasetya Cahyaning Rahmadani, Putri Nilam Cahyo Wibowo, Nur Cendana Putri Aulia Chevaldi Gelstyn Amalo Christian Ananda Bestari Cindy Dyah Clarissa Belva Kusuma Dalilah Edenya Zata Yumni Darlis Herumurti Dennis Aprilianti Desi Puspitasari Dewanti, Felicitas Deru Diana Rimadhani, Tri Dita Atasa Diva Aisyah Maryam Diva Zahwa Djihani Fatimatus Zahroh Dwi Nugraha, Rafi Edi Sugiyanto Egga Naufal Daffa Tanadi Eliza Siti Syarifah Elvira Aprilia Primastika Endriana, Fathika Eristya Maya Safitri Eristya Maya Safitri Evidelia Nabila Hamada Audyarizki Fachrurrozy Nurqoulby Fahreo Iddo Putera Dewangga Faisal Muttaqin Fajar Cahya Putra Farah Piecesha, Regina Farhan Jelang Ramadhan Farhan Kusuma Waradana Fauzan Atha Fernaldy, Fabiyan Atha Fidda Rahmawati Fikriyatun Nabila Firdaus, Fakhrina Diah Padma Nur Firdaus, Randy Aulia Firdha Amalia Firdi Ihza Rochman Firlyandita, Marsyanda Firsttama, Risav Arrahman Fithriyani, Aufi Jazilah Fitri Erliya Wati Fitri Maharani Andamdewi Fitri, Anindo Saka Forentina Kerti Pratiwi Sujayanti Fotinus Wahyudi Josiriz Gagas Taruna Pamungkas Gita Wulandari Giyo Sekhan Abdillah Gracia Medyate Sinulingga Gultom, Aris Fernando Gusti Eka Yuliastuti Hadi, Tasya Diva Fortuna Hafsha Sakinah Halila, Azaria Ainun Halimatuz Zuhriyah, Iffah Nur Hallimah Rizqi Putti Hanatasya Aulia Risda Puspitasari Hanifa, Fatya Hardiva Aura Jingganingsandya Hastri Cantya Danahiswari Herian, Anisah Hikmah Saptya Ningrum Hilal Abdullah Hilal Abdullah Ilham Dio Bhakti Ilham Ismail Imam Hanafi Inayah Divia Ir. Endang Pudji W Isma Triana Izra Noor Zahara Aliya Izzat Rahman Kamila, Syafiatul Kamilia, Tarisa Karina Sanggraeini Khansa Xena Nirwasita Khoirunisa Jannatuzzahra Kirana Azzahra Putri Lasarudin, Alter Layra Cholifah Lordly Resolute Lestari, Danik Dwi Linda Tri Andini Linda Wahyuningtiyas Luawo, Salma Rivani M Aldan Adiar Firdaus M. Rizal Muhaimin Maheswari, Kalila Calya Mariska Regina RahmaPutri Maulana Kharyska Abadi, Muhammad Maulana, Hendra Maulidia, Ayu Maulina, Ika Maya Safitri, Eristya Mayoratri, Maria Helena Putri Moh. Azzam Priyanto Muhamad Raafi Al Hadi Mubarrok Muhammad Alief Hidayatulloh Muhammad Choirul Annas Muhammad Daffa Muhammad Hilman Zafiri Muhammad Rafi Muhsin Murod, Alfin Musdlolif Fadlun Huda Maramida Nabila, Achmad Wildan Nadilla Putri Pertiwi Nadiza Rahma Talitanahda Nadya Lenvylea Laras Nala Mutimmul Nanda Putri Widianti Nashrum Minallah Noer Alam Yahya Nur Hayati, Nita Eka Nur Rachman Nidhi Suryono, Muhammad Nur Suranti Madu Sukmah Nur Suranti Madu Sukmah Nurcholis, Mochammad Nurdin, Andi Nurlaili, Afina Lina Oktania Purwaningrum Oktavia Nur Qhoirunnisa Pandu Rizki Maulidiah Panggayuh, Danang Andrian Fajar Perdana, Firman Permatasari, Reisa Pieter Adam Telaumbanua Pramadhani, Dinar Pranindhita, Anggie Nur Prasetyo, Benediktus Edho Pratama, Adonnis Pratama, Virgiawan Yoga Prisa Marga Kusumantara Priyandini Pramithasari Purborini, Yohana Ajeng Purwitasari, Astri putra, brillyan Putra, Chrystia Aji Putri Intana Ramadhani Putri Lestari, Putri Putri Marisna Putri, Ayuni Salsabila Raden Mohamad Herdian Bhakti Raffli Amirullah Rafly Sandi Putra RahmaPutri, Mariska Regina Rahmawati, Lailatul Fitri Dwi Raihan Romadhoni, Moh Ramadhan Eka Syahputra Ramadhan, Chalid Syamy Rasikhah, Keisha Andani Ratna Yulistiani Ratnaswari, Syahrani Renanda Auzan Firdaus Renanda Rahadian, Rizky Rengganis, Aidha Kiftia Rezza Hardanovita Rhifky Arfiansyah Rianto, Syahbrina Isnaeni Azizah Rima Dwi Fitrian Ripka Suliandari Ririn Oktavita Sari Riski, Agung Mustika Risnanda, Arsita Wahyu Rizka Hadiwiyanti Rizki Yuniar, Vera Rizki, Agung Mustika Romansyahdu, Arya Dewangga Rosa Ainun Rizkyah Rosalia, Chaterine Rosedefi Angelia Putri Rr. Shafira Indranovianti Ruldy Rizqi Suhendri Sabrina Berliana Putri Safina Najah Safira Aprilia Safitri, Eristya Maya Salma Salsabila Sirsya Salsabila Shafiyah, Sarah Salsabilla, Kharisma Agustya Zahra Sarah Adora Febria Sa`adah, Layla Mazidatus Seftin Fitri Ana Wati Senarita Septia Rosmalia Septiyawan Rosetya Wardhana Shafarizqinas Gautama, Abdillah Shahna Naila Safira Shofiyyatul Badriyyah Siregar, Alifah Salsabillah Siska Amelia Sofi Suhaimah Sonya Azharani Nugrahani Sriyanti, Zilvi Azus Stefanus Kristiyanto Sugiarto S Sugiarto, Sugiarto Sugito Sugito Sukma, Dini Artika Suryo Widodo Syalia Masarrah Talitha Edina Sakhi Tarangga, Bagas Tarisa Kamilia Tarissa Berliana Kartika Tarrisya Durroh Fitrinda Tegar Satria Adi Teguh Yulianto, Teguh Tesalonika Devvany Nugroho Tiara Putri Marcela Tina Adelia Lestari Ulfa Nur Ulfa Mauludina Umam, Candra Khoirul Vanesa Wanda Anggela Vani Laila Vanni Alivyah Krisnandela Varadilla, Arina Vicky Al-Hafiz Vincentia Stephani Viona Eka Rahmawati Viona Nadestri Vira Adhelia Andjani Virda Kurnia Barbara Wafiq Ainnur Rozzan Wahyuni, Eka Dyar Wati, Seftin Fitri Ana Wibawa Syahalam, Aji Qolbu Wibowo, Nur Cahyo Widya Pratiwi Wilda Daffania Abidin Willy Arya Wicaksana Wulansari, Anita Yanuar Hakam Rosyadi A Yesica Arinda Damayanti Yisti Vita Via Yola Tarisa Br Tarigan Yola Tarisa Br Tarigan Yovan Febriawan Nurpratama Yulia Putri Ramadhani Yusuf Al Ma'ruf, Achmad Zahra, Annisa Lusyani Zahra, Nabila Athifah Zalfaa’ Fairuuz Zhafran, Rafi Nuril Zulfa Fayza Budiono Zulfikar Achmad Nur Wachid

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Found 8 Documents Search Journal : International Journal Of Computer, Network Security and Information System (IJCONSIST)

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Journal : International Journal Of Computer, Network Security and Information System (IJCONSIST)