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All Journal International Journal of Electrical and Computer Engineering International Journal of Evaluation and Research in Education (IJERE) Journal of Food and Pharmaceutical Science Dinamik Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Transmisi: Jurnal Ilmiah Teknik Elektro JURNAL SISTEM INFORMASI BISNIS Voteteknika (Vocational Teknik Elektronika dan Informatika) JTEV (Jurnal Teknik Elektro dan Vokasional ELKHA : Jurnal Teknik Elektro Jurnal Sistem Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Kursor Jurnal Algoritma Jurnal Teknologi Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) Komunikator ICON-CSE CESS (Journal of Computer Engineering, System and Science) Proceeding SENDI_U Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Bulletin of Electrical Engineering and Informatics JOIN (Jurnal Online Informatika) Journal of Electrical Technology UMY Format : Jurnal Imiah Teknik Informatika Jurnal Teknologi dan Sistem Komputer Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Journal of Information Technology and Computer Science (JOINTECS) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JIKO (Jurnal Informatika dan Komputer) Bina Insani ICT Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal Sains dan Informatika Insect (Informatics and Security) : Jurnal Teknik Informatika JRST (Jurnal Riset Sains dan Teknologi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat Jiko (Jurnal Informatika dan komputer) Journal of Science and Engineering MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) CYBERNETICS Krea-TIF: Jurnal Teknik Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Jurnal Teknik Elektro dan Komputer TRIAC RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Jurnal Ilmiah Mandala Education (JIME) JSI (Jurnal sistem Informasi) Universitas Suryadarma Systemic: Information System and Informatics Journal Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Journal of Electronics, Electromedical Engineering, and Medical Informatics Buletin Ilmiah Sarjana Teknik Elektro RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi Mobile and Forensics Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) Jurnal Riset Rekayasa Elektro Jurnal Repositor Respati Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer System and Informatics (JoSYC) International Journal of Advances in Data and Information Systems Journal of Innovation Information Technology and Application (JINITA) Reswara: Jurnal Pengabdian Kepada Masyarakat Infotech: Journal of Technology Information SKANIKA: Sistem Komputer dan Teknik Informatika Innovation in Research of Informatics (INNOVATICS) Jurnal Teknik Informatika (JUTIF) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Computer Science and Information Technology (CoSciTech) Journal Social Science And Technology For Community Service Jumat Informatika: Jurnal Pengabdian Masyarakat Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma Techno Jurnal Pengabdian Pada Masyarakat Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat SmartComp Journal of Food and Pharmaceutical Sciences Jurnal Informatika: Jurnal Pengembangan IT Control Systems and Optimization Letters Emitor: Jurnal Teknik Elektro Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Signal and Image Processing Letters Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi Scientific Journal of Engineering Research Dedikasi Nusantara
Anton Yudhana
Universitas Ahmad Dahlan, Yogyakarta
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Audit Tata Kelola Academic Information System Menggunakan Framework Cobit 2019 Putra, Satriya Dwi; Herman, Herman; Yudhana, Anton
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 3: Juni 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2023106361

Abstract

Pengelolaan sumber daya Teknologi Informasi yang baik efektif, efisien, dan terkendali menghasilkan value bagi sebuah institusi. Upaya untuk mendukung proses manajemen mengembangakan AIS sebagai alat untuk mengevaluasi arah kebijakan, kebutuhan fungsional, dan risiko belum diterapkan secara sempurna. Penelitian ini merupakan audit disertai analisis sistematis untuk mengukur tingkat kematangan sistem Academic Information System (AIS) di STIKES Guna Bangsa Yogyakarta menggunakan framework COBIT 2019. Fokus penelitian adalah pada tata kelola proyek pengembangan AIS yaitu pada proses pengelolaan sumber daya (EDM04) dan inovasi terkelola (APO04). Luaran yang diharapkan adalah sebuah rekomendasi untuk memaksimalkan proses pengembangan sistem menggunakan metode bertahap, yaitu observasi, data collection, data validation, dan identifikasi data maturity level. Audit dan analisis yang dilakukan penelitian ini menemukan tata kelola dalam pengembangan AIS kondisi saat ini berada pada maturity level 2 (managed process) dengan nilai EDM04 = 2,29 dan APO04 = 2,25. Artinya proses sudah dilakukan, tetapi hanya sekedar dilakukan sehingga kurang mencapai tujuan yang diharapkan. Hal ini ditandai dengan ada proses yang tidak lengkap dan tidak terorganisasi dengan baik. Untuk menuju maturity level yang maksimal yaitu level 5, penelitian ini merekomendasikan pengelola untuk melengkapi SOP yang akan dijadikan rujukan dan juga memperbaharui dokumen-dokumen sehingga mengikuti sistem yang dikembangkan sesuai teknologi terkini. Sebagai catatan tambahan lingkungan kerja yang kondusif perlu diciptakan guna mencapai inovasi yang maksimal sesuai dengan sumber daya yang dimiliki. AbstractGood management of Information Technology resources is effective, efficient, and controlled to produce value for an institution. Efforts to support the management process to develop AIS as a tool to evaluate policy directions, functional requirements, and risks have not been implemented perfectly. This research is an audit accompanied by a systematic analysis to measure the maturity level of the Academic Information System (AIS) system at STIKES Guna Bangsa Yogyakarta using the COBIT 2019 framework. The focus of the research is on the governance of the AIS development project, namely the resource management process (EDM04) and managed innovation ( APO04). The expected output is a recommendation to maximize the system development process using a gradual method, namely observation, data collection, data validation, and identification of maturity level data. The audit and analysis conducted in this study found that governance in the development of AIS is currently at maturity level 2 (managed process) with a value of EDM04 = 2.29 and APO04 = 2.25. This means that the process has been carried out, but only done so that it does not achieve the expected goals. It is characterized by incomplete and poorly organized processes. To reach the maximum maturity level, namely level 5, this study recommends managers complete SOPs that will be used as references and also update documents so that they follow the system developed according to the latest technology. As an additional note, a conducive work environment needs to be created to achieve maximum innovation following the available resources.
Akuisisi Bukti Digital Tiktok Berbasis Android Menggunakan Metode National Institute of Justice Anggraini, Fitri; Herman, Herman; Yudhana, Anton
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 1: Februari 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2023106416

Abstract

Seiring mudahnya menjangkau internet maka masyarakat sangat mudah menggunakan media sosial. Media sosial sangat berdampak positif bagi khalayak ramai seperti mudahnya dijangkau informasi dan mengakses perkembangan zaman, meskipun demikian tidak menutup kemungkinan media sosial dapat mendatangkan pengaruh negatif seperti tindak kejahatan cyberbullying, penipuan, ancaman, dan pencemaran nama baik. Aplikasi TikTok merupakan media sosial yang paling banyak diunduh menurut We Are Social dan Hootsuite pada Januari 2022 dan aplikasi TikTok rentan menyebabkan terjadinya kejahatan pencemaran nama baik, dan terjadinya ancaman. Penelitian ini bertujuan melakukan proses forensik untuk mendapatkan bukti-bukti pencemaran nama baik dan ancaman pada media sosial TikTok. Penelitian ini menggunakan framework dari National Institute of Justice (NIJ) dengan tahap identification, collection, examination, analysis, dan reporting. Tools yang digunakan dalam penelitian yaitu MOBILedit forensic Express. Proses forensik yang dilakukan berhasil mendapatkan data pada smartphone yang belum di-root hanya bisa mendapatkan informasi aplikasi TikTok, images, dan waktu kejadian dengan persantase tingkat keberhasilan 42,8%. Sedangkan pada smartphone yang sudah di-root didapatkan data berupa informasi aplikasi TikTok, nama akun, Messanges, image, waktu kejadian, dan video serta hastag tidak dapat ditemukan dengan persantase tingkat keberhasilan 85,7%. AbstractAs it is easy to reach the internet, it is very easy for people to use social media. Social media has a very positive impact on the general public such as easy access to information and access to the times, however it is possible that social media can have negative effects such as cyberbullying, fraud, threats, and defamation. The TikTok application is the most downloaded social media according to We Are Social and Hootsuite in January 2022 and the TikTok application is vulnerable to causing crimes of defamation, and threats. This study aims to conduct a forensic process to obtain evidence of defamation and threats on TikTok social media. This study uses a framework from the National Institute of Justice (NIJ) with the stages of identification, collection, examination, analysis, and reporting. The tools used in this research are MOBILedit Forensic Express. The forensic process that was carried out succeeded in obtaining data on a smartphone that had not been rooted, only being able to get information on the TikTok application, images, and the time of the incident with a success rate of 42.8%. Meanwhile, on a rooted smartphone, data in the form of TikTok application information, account names, messages, images, time of occurrence, and videos and hashtags could not be found with a success rate of 85.7%.
System Control Holding Position on Quadcopter Using GPS with Waypoint Widhianto, Trisno; Yudhana, Anton
Control Systems and Optimization Letters Vol 1, No 1 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v1i1.4

Abstract

This study designs an autonomous quadcopter system that can work in outdoor areas using a waypoint and quadcopter system so that it can fly without being controlled to complete a given mission with accuracy that has a low offside value. The tests carried out were divided into 3 tests using 3 different missions using Post Hold flight mode and a height of 5 m, on each mission there were 3 waypoints with each waypoint distance of 10 m which later on each waypoint would perform a Holding Position. at each waypoint point and see the error value generated based on the waypoint point by calculating the Latitude and Longitude values between the vehicle and the waypoint point so as to get the error value between the vehicle and the waypoint point and then make a comparison with measurements using a measuring instrument at each waypoint point in carrying out missions.
Analysis of the Influence of Number of Segments on Similarity Level in Wound Image Segmentation Using K-Means Clustering Algorithm Furizal, Furizal; Mawarni, Syifa’ah Setya; Akbar, Son Ali; Yudhana, Anton; Kusno, Murinto
Control Systems and Optimization Letters Vol 1, No 3 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v1i3.33

Abstract

This study underscores the importance of wound image segmentation in the medical world to speed up first aid for victims and increase the efficiency of medical personnel in providing appropriate treatment. Although the body has a protective function from external threats, the skin can be easily damaged and cause injuries that require rapid detection and treatment. This study used the K-Means clustering algorithm to segment the external wound image dataset consisting of three types of wounds, namely abrasion, puncture, and laceration. The results showed that K-Means clustering is an effective method for segmenting wound images. The greater the number of segments used, the better the quality of the resulting segmentation. However, it is necessary to take into account the specific characteristics of each type of wound and the number of segments used in order to choose the most suitable segmentation method. Evaluation using various metrics, such as VOI, GCE, MSE, and PSNR, provides an objective assessment of the quality of segmentation. The results showed that abrasion wounds were easier to segment compared to puncture wounds and lacerations. In addition, the size of the image file also affects the speed of program execution, although it is not always absolute depending on the characteristics of the image.
Recognizing Micro Expression Pattern Using Convolutional Neural Networks (CNN) Method During Emotion Regulation Training for Parents in The Pandemic Era Intan Puspitasari; Anton Yudhana; Dewi Eko Wati; Syahid Al Irfan
Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Vol. 3 No. 2 (2023): Proceeding of The International Conference of Inovation, Science, Technology, E
Publisher : Program Studi DIII Rekam Medis dan Informasi Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/icistech.v3i2.68

Abstract

During this pandemic, most of people’s activities are carried out through digital media. Both learning and working processes are using the video-conference platform, a platform deemed effective to facilitate the needs of distance communication. One of the limitations of using video-conference lies in difficulty in understanding emotional conditions based on solely camera video. Hence, speakers generally do not know their interlocutors’ feelings related to the materials being presented. Grounded on this issue, we examined a facial expressions-based emotion recognition tool. Micro expression is one of the micro-languages of communication. Machine learning model developed in this study was Deep Learning with Convolutional Neural Network (CNN). The library that was used was Keras, this was used to recognize micro expression pattern. Additionally, OpenCV was also used for the general face recognition process. Both libraries were operated using Python programming language. The result of the micro expression test involving thirty participants detected three types of facial expression, namely joy, sadness, and anger expression. However, face recognition applied in the present study still needed some improvements, especially for anger and sadness expression. With regard to joy expression, 89% of the expression were recognized. Based on the recorded data, it is necessary to improve the recordings criteria to obtain a clearer expression.
Revitalisasi Kawasan Permukiman Menjadi Lahan Pertanian berbasis Smart Farming Menggunakan Teknologi Photovoltaic berbantuan Mikrokontroler Arduino dan Solar Cell Halil, Nur Ihsan; Saputra, I Gede Purwana Edi; Bulaka, Bardan; Paliling, Alders; Mustafa, Marlina; Kusuma , Damar Yoga; Sasongko, Hadi; Yudhana, Anton
Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2024): Edisi Mei 2024
Publisher : FKIP Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36709/amalilmiah.v5i2.166

Abstract

Desa Mataosu Ujung menghadapi berbagai tantangan dalam pengelolaan lahan pertanian sehingga perlu penanganan. Tujuan dari kegiatan pengabdian ini secara umum adalah untuk mengoptimalkan lahan permukiman menjadi lahan pertanian berbasis Smart Farming melalui revitalisasi lahan dengan penerapan teknologi photovoltaic berbantuan Arduino Mikrokontroler dan Panel Surya guna meningkatkan aksesbilitas dan kemajaan Desa. Metode yang digunakan dalam kegiatan ini adalah metode pendampingan dan pelatihan dengan tahapan Perencanaan, Pelatihan, Pendampingan, dan Evaluasi (PPPE). Hasil yang dicapai dalam PkM ini yakni  85% kelompok tani memiliki skor pemahaman terhadap Smart Farming di atas skor 70, 75% anggota mitra karang taruna matiro decceng memiliki skor pemahaman terhadap pemanfaatan teknologi dan pemasaran berbasis digital di atas 70, dan koefisien konsistensi validasi untuk sistem Smarty Farming sebesar 0,69, menunjukkan tingkat konsistensi yang tinggi atau valid. Kesimpulan dari hasil kegiatan ini yaitu penerapan smart farming dengan teknologi photovoltaic, mikrokontroler arduino, dan solar cell berhasil mengoptimalkan lahan permukiman menjadi lahan pertanian produktif dan memberikan solusi bagi keterbatasan sumber air dan akses listrik , dan berhasil mewujudkan Integrasi Sistem Desa terdigitalisasi.
Nondestructive Chicken Egg Fertility Detection Using CNN-Transfer Learning Algorithms Saifullah, Shoffan; Drezewski, Rafal; Yudhana, Anton; Pranolo, Andri; Kaswijanti, Wilis; Suryotomo, Andiko Putro; Putra, Seno Aji; Khaliduzzaman, Alin; Prabuwono, Anton Satria; Japkowicz, Nathalie
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 3 (2023): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i3.26722

Abstract

This study explores the application of CNN-Transfer Learning for nondestructive chicken egg fertility detection. Four models, VGG16, ResNet50, InceptionNet, and MobileNet, were trained and evaluated on a dataset using augmented images. The training results demonstrated that all models achieved high accuracy, indicating their ability to accurately learn and classify chicken eggs’ fertility state. However, when evaluated on the testing set, variations in accuracy and performance were observed. VGG16 achieved a high accuracy of 0.9803 on the testing set but had challenges in accurately detecting fertile eggs, as indicated by a NaN sensitivity value. ResNet50 also achieved an accuracy of 0.98 but struggled to identify fertile and non-fertile eggs, as suggested by NaN values for sensitivity and specificity. However, InceptionNet demonstrated excellent performance, with an accuracy of 0.9804, a sensitivity of 1 for detecting fertile eggs, and a specificity of 0.9615 for identifying non-fertile eggs. MobileNet achieved an accuracy of 0.9804 on the testing set; however, it faced challenges in accurately classifying the fertility status of chicken eggs, as indicated by NaN values for both sensitivity and specificity. While the models showed promise during training, variations in accuracy and performance were observed during testing. InceptionNet exhibited the best overall performance, accurately classifying fertile and non-fertile eggs. Further optimization and fine-tuning of the models are necessary to address the limitations in accurately detecting fertile and non-fertile eggs. This study highlights the potential of CNN-Transfer Learning for nondestructive fertility detection and emphasizes the need for further research to enhance the models’ capabilities and ensure accurate classification.
Implementation SHA512 Hash Function And Boyer-Moore String Matching Algorithm For Jpeg/exif Message Digest Compilation Fitriyanto, Rachmad; Yudhana, Anton; Sunardi, Sunardi
JOIN (Jurnal Online Informatika) Vol 4 No 1 (2019)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v4i1.304

Abstract

Security information method for JPEG/exif documents generally aims to prevent security attacks by protecting documents with password and watermark. Both methods cannot be used to determine the condition of data integrity at the detection stage of the information security cycle. Message Digest is the essence of a file that has a function as a digital fingerprint to represent data integrity. This study aims to compile digital fingerprints to detect changes that occurred in JPEG / exif documents in information security. The research phase consists of five stages. The first stage, identification of the JPEG / exif document structure conducted using the Boyer-Moore string matching algorithm to find JPEG/exif segments location. The Second stage is segment content acquisition, conducted based on segment location and length obtained. The Third step, computing message digest for each segment using SHA512 hash function. Fourth stage, JPEG / exif document modification experiments to identified affected segments. The fifth stage is selecting and combining the hash value of the segment into the message digest. The obtained result shows the message digest for JPEG/exif documents composed of three hash values. The SOI segment hash value used to detect modifications for JPEG to png conversion and image editing. The APP1 hash value used to detect metadata editing. The SOF0 hash values use to detect modification for image recoloring, cropping and resizing — the combination from three hash values as JPEG/exif’s message digest.
Identification of White Blood Cells Using Machine Learning Classification Based on Feature Extraction Musliman, Anwar Siswanto; Fadlil, Abdul; Yudhana, Anton
JOIN (Jurnal Online Informatika) Vol 6 No 1 (2021)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v6i1.704

Abstract

In various disease diagnoses, one of the parameters is white blood cells, consisting of eosinophils, basophils, neutrophils, lymphocytes, and monocytes. Manual identification takes a long time and tends to be subjective depending on the staff's experience, so the automatic identification of white blood cells will be faster and more accurate. White blood cells are identified by examining a colored blood smear (SADT) and examined under a digital microscope to obtain a cell image. Image identification of white blood cells is determined through HSV color space segmentation (Hue, Saturation Value) and feature extraction of the Gray Level Cooccurrence Matrix (GLCM) method using the Angular Second Moment (ASM), Contrast, Entropy, and Inverse Different Moment (IDM) features. The purpose of this study was to identify white blood cells by comparing the classification accuracy of the K-nearest neighbor (KNN), Naïve Bayes Classification (NBC), and Multilayer Perceptron (MLP) methods. The classification results of 100 training data and 50 white blood cell image testing data. Tests on the KNN, NBC, and MLP methods yielded an accuracy of 82%, 80%, and 94%, respectively. Therefore, MLP was chosen as the best classification model in the identification of white blood cells.
Prediction of Presidential Election Results using Sentiment Analysis with Pre and Post Candidate Registration Data Firdaus, Asno Azzawagama; Yudhana, Anton; Riadi, Imam
Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Vol. 10 No. 1 (2024): April 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v10i1.4836

Abstract

Social-media is a solution for politicians as a campaign tool because it can save costs compared to conventional campaigns. The 2024 Indonesian presidential election has attracted public attention, especially among social media users. Twitter, as one of the most widely used social media platforms in Indonesia, has become an effective campaign platform. Sentiment analysis is one approach that can be used to measure public opinion on Indonesian presidential candidates based on Twitter data. The data was collected before the declaration of candidates in March 2023 and shortly after the registration of presidential and vice-presidential candidates in November 2023. The data obtained amounted to 15,000 in March 2023 collection and 11,569 in November 2023 collection and used manual labeling by linguists. After removing duplicated tweets, the data changed to 10,569 data with each candidate having 3,523 data for March 2023 and 4,893 data, with each candidate pair having 1,631 data for November 2023. The sentiment analysis classification model is determined using the Naïve Bayes and Support Vector Machine (SVM) methods with Term Frequency-Inverse Document Frequency (TF-IDF) feature extraction. Based on the data, the highest percentage of positive sentiment for the data obtained in March 2023 is for Ganjar Pranowo data by 77.94% and the highest percentage of negative sentiment is for Anies Baswedan data by 31.39%. Meanwhile, for the data obtained in November 2023, the highest positive sentiment was obtained for the candidate pair Ganjar Pranowo - Mahfud MD by 69.16%, and the highest negative sentiment was found in the data Prabowo Subianto - Gibran Rakabuming Raka by 52.12%. Words that frequently appeared in the positive sentiment for Ganjar Pranowo - Mahfud MD included "strong", "corruption", "support", "appreciation", and others. This research achieved the highest accuracy for SVM method which is 86% and Naive Bayes method which is 79%.
Co-Authors Aang Anwarudin Abd. Rasyid Syamsuri Abdel-Nasser Sharkawy Abdillah, Muhamad Aznar Abdul Azis Abdul Djalil Djayali Abdul Fadil Abdul Fadil Abdul Fadlil Abdul Fadlil Abe, Tuska Ade Firli Ansyori Adi Permadi Agung Dwi Nugroho, Agung Dwi Agus Jaka Sri Hartanta Ahmad Azhar Kadim Ahmad Ikrom Ahmad Ikrom Ahmad Syahril Mohd Nawi Ahmadi, Ahwan Akhwandi, Dasef AKRIMA, ASRA Alameka, Faza Alameka, Faza alders paliling Aldi Bastiatul Fawait Fawait Alfian Ma’arif Alin Khaliduzzaman Aminuyati Andhy Sulistyo Andiko Putro Suryotomo Andri Pranolo Anggara Ibnu Sidharta Annafii, Moch. Nasheh Anom Wahyu Asmorojati Anshori, Ikhwan Anton Satria Prabuwono Anton Satria Prabuwono Anwar Siswanto Anwarudin, Aang Ardiansyah, Ricy Arief Setyo Nugroho Aris Rakhmadi Ashari, Irvan Asno Azzawagama Firdaus Asra Akrima Astika AyuningTyas, Astika Aznar Abdillah, Muhamad Azrul Mahfurdz Bahagiya, Multika Untung Balza Achmad Basri, Mhd. Bella Okta Sari Miranda Belly Apriansyah Bintang, Rauhulloh Noor budi putra Budi Setianto, Arif Bulaka, Bardan Cahya Subrata, Arsyad Choirul Fajri Darso, Muhammad Daryono Daryono Dasef Akhwandi Deni Murdiani Denny Yoga Pratama Dewi Eko Wati Dian Nova Kusuma Hardani Didi Siprian Drezewski, Rafal Dwi Susanto Dwi Susanto Dwi Susanto Dzakarasma Tazakka Ma’arij Edi Ismanto Eka Rahmat B Eko Prianto Eko Prianto Elvina, Ade Fadil, Abdul Fadlil, Abdul Fadlillah Mukti Ayudewi Fahmi, Miftahuddin Fahrizal Djohar Fakhri, La Jupriadi Fathoni, Listya Febri Fatma Nuraisyah, Fatma Faza Alameka Faza Alameka Febryansah, M. Iqbal Fitrah Juliansyah Fitri Anggraini Fitri Anggraini, Fitri Fitriyanto, Rachmad Furizal Furizal Furizal Furizal, Furizal Galih Pramuja Inngam Fanani H, Hermansa Habibah, Nurina Umy Habsah Hasan Hadi Sasongko, Hadi Halil, Nur Ihsan Hanif, Abdullah Hanif, Kharis Hudaiby Hartanta, Agus Jaka Sri Hartono, Susilo Helmiyah, Siti Herman Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah, Herman Hermansa Herwindo Rahadian Hidayat, Lalu Amam Hikmatyar Insani Himawan I Azmi Igo Putra Pratama Iif Alfiatul Mukaromah Ikhsan Sugianto Ikhsan Zuhriyanto Ikhsan Zuhriyanto Ikhsan Zuhriyanto Ikhwan Anshori Ikrom, Ahmad Ilham Mufandi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Intan Puspitasari Irfan, Syahid Al Irwansyah Irwansyah Ivan Triyatno Jafri Din Jaka Dernata Jaka Dernata Jaka Japkowicz, Nathalie Jendri Juliansyah, Fitrah Kalbuadi, Dimas Baskoro Kartika Firdausy Kaspul Anwar Kaswijanti, Wilis Kawarul Hawari Ghazali Kgs Muhammad Rizky Alditra Utama Kgs Muhammad Rizky Alditra Utama Khaliduzzaman, Alin Khalif, Fajar Al Khoir, Syaiful Amrial Khoirul Anam Dahlan Kintung Prayitno, Kintung Kitagawa, Kodai Kurniawan, Gusti Chandra Kusuma , Damar Yoga Listya Febri Fathoni Liya Yusrina Sabila Luh Putu Ratna Sundari Lutfatul Kholifah M Rosyidi Djou M Rosyidi Djou M. Rosyidi Djou Mahsun Mahsun Mardi Sugama Marlina Mustafa, Marlina Maulana, Irvan Mawadati, Siti Mawarni, Syifa’ah Setya Mega Reski4, Julia Miftahuddin Fahmi Miftahus Surur, Miftahus Miko Wardani Mitra Adhimukti Moch. Nasheh Annafii Muchamad Kurniawan Muchlas Muchlas Muchlas Muchlas, Muchlas Mudinillah, Adam Muflih, Ghufron Zaida Muh. Fadli Hasa Muhamad Caesar Febriansyah Putra Muhamad Caesar Febriansyah Putra, Muhamad Caesar Febriansyah Muhamad Fahrul Reza Muhamad Rosidin Muhammad Aris Fajar Ilmawan Muhammad Darso Muhammad Irfan Pure Muhammad Jundullah Muhammad Kunta Biddinika Muhammad Kunta Biddinika Muhammad Miftahul Amri Muhammad Noor Fadillah Muhammad Noor Fadillah Muhammad Nur Faiz Muhammad Nur Faiz Muhammad Rizki Setyawan Muhammad Sabiq Dzakwan Muhammad Sabiq Dzakwan Muhammad, Khairul Muis, Alwas Mukaromah, Iif Alfiatul Murinto Murinto Mushab Al Barra Mushlihudin Mushlihudin Mushlihudin Mushlihudin Mushlihudin, Mushlihudin Mushlihudin, Mushlihudin Musliman, Anwar Siswanto Nathalie Japkowicz Novitasari, Putri Rachma Nuraeni, Eneng Nuryana, Zalik Nuryono Satya Widodo Ockhy Jey Fhiter Wassalam Peryanto, Ari Prasongko, Riski Yudhi Pratama, Denny Yoga Pratama, Genta Pratama, Gilang Ariya PRATAMA, IGO PUTRA prayudi, Andi Prianto, Eko Prihatmadi, Farhan Adyaqsa Priyatno Priyatno Putra, Aji Surya Kurniawan Putra, Marta Dwi Darma Putra, Satriya Dwi Putra, Seno Aji Putri, Dadva Pramesty Etsria Rachmad Fitriyanto Rachmad Very Ananda Saputra Raden Mohamad Herdian Bhakti Rafal Drezewski Rahmawan, Jihad Raja Bidin Raja Hassan Ramadhani, Muhammad Ramdhani, Rezki Rani Rotul Muhima Rauhulloh Ayatulloh Khomeini Noor Bintang Renangga Yudianto Reski, Julia Mega Resmi Aini Retnosyari Septiyani Reza, Muhamad Fahrul Rezki Ramdhani Rio Subandi Riski Prasongko Yudhi Prasongko Riski Yudhi Prasongko Rizky Andhika Surya Rosyady, Phisca Aditya Ruly Erwin AfanDika Rumagia, Yusril Rusdi Umar Rusydi Umar Rusydi Umar Rusydi Umar Rusydi Umar S, Sunardi Sabarudin Saputra Saberi Mawi Sabila, Liya Yusrina Safiq Rosad Sahta, Bobo Saifullah, Shoffan Samadri Samadri Saputra, Candra Deska Saputra, I Gede Purwana Edi saputro, tahap Sarjimin Sarjimin Sarjimin, Sarjimin Satriya Dwi Putra Sefindra Purnama Seno Aji Putra Septa, Frandika Septiyani, Retnosyari Septiyawan Rosetya Wardhana Sharipah Salwa Mohamed Shoffan Saifullah Sidharta, Anggara Ibnu Sidiq, Ahmad Fajar Sigit Wijaya Silmina, Esi Putri Siswaya Siswaya Siswaya, Siswaya Siti Hajar Siti Helmiyah Siti Helmiyah Son Ali Akbar sri suharti Sri Suharti Subandi, Rio Sulistyo, Andhy Sunardi Sunardi - Sunardi - Sunardi Sunardi sunardi sunardi Sunardi, Sunardi Suwanti Suwanti Suyadi Suyadi Syahid Al Irfan Syahrani Lonang Syed Abdullah Syinta Brata Tarisno Amijoyo Tiara Widyakunthaningrum Tole Sutikno Tri Wahono Tugiman Tugiman Umar, Rusydi Ummi Syafiqoh Ummi Syafiqoh Utama, Kgs Muhammad Rizky Alditra Utama, Kiagus Muhammad Rizky Aditra W, Yunanri Wahidah Mahanani Rahayu Wahyu Prawoto Wahyu Sapto Aji Wardani, Miko Wicaksono Yuli Sulistyo Wicaksono Yuli Sulistyo Widhianto, Trisno Wijaya, Setiawan Ardi Wilis Kaswijanti Windra Putri, Anggi Rizky Wintolo, Hero Yudianto, Renangga Zeehaida Mohamed