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All Journal Foristek JUSIFO : Jurnal Sistem Informasi JURNAL IQRA´ Sistemasi: Jurnal Sistem Informasi Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JOURNAL OF APPLIED INFORMATICS AND COMPUTING Edukasi Islami: Jurnal Pendidikan Islam Technomedia Journal Islamic Management: Jurnal Manajemen Pendidikan Islam AT-TURAS: Jurnal Studi Keislaman Jurnal Sistem Cerdas Jurnal Ilmiah Mandala Education (JIME) JISIP: Jurnal Ilmu Sosial dan Pendidikan JUPE : Jurnal Pendidikan Mandala JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CCIT (Creative Communication and Innovative Technology) Journal EDUMATIC: Jurnal Pendidikan Informatika Jurnal Review Pendidikan dan Pengajaran (JRPP) ScientiCO : Computer Science and Informatics Journal EDUTEC : Journal of Education And Technology Khazanah Theologia Khazanah Theologia Jurnal Pendidikan Kewarganegaraan Al Marhalah Jurnal Teknik Informatika (JUTIF) JIHAD : Jurnal Ilmu Hukum dan Administrasi ENGLISH FRANCA : Academic Journal of English Language and Education Jurnal Abmas Negeri (JAGRI) PERTANIAN TROPIK Proceeding Muhammadiyah International Public Health and Medicine Conference Jurnal Pendidikan JELTEC: Journal of English Language Teaching, Literature and Culture Journal Education and Government Wiyata Transcendent Journal of Mathematics and Applications Celebes Journal of Language Studies Jurnal Kecerdasan Buatan dan Teknologi Informasi JER Moderation: Journal of Islamic Studies Review Jurnal Teknologi Rekayasa Informasi dan Komputer
Syahrullah Syahrullah
UIN Sunan Gunung Djati Bandung
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
PUBLIC SENTIMENT ANALYSIS OF 'DIRTY VOTE' DOCUMENTARY FILM ON TWITTER USING NAÏVE BAYES WITH GRID SEARCH OPTIMIZATION Bagaskara, Febrian Chrissma; Syahrullah, Syahrullah; Hendra, Andi; Lamasitudju, Chairunnisa; Rinianty, Rinianty
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 6 (2024): JUTIF Volume 5, Number 6, Desember 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.6.2682

Abstract

The film "Dirty Vote" provides a realistic depiction of alleged fraud issues within Indonesia's democratic system, released ahead of the 2024 elections. This has sparked various public opinions, both in favor of and against the film, potentially affecting the stability of Indonesia’s democratic system. The aim of this research is to analyze the public's reaction to the "Dirty Vote" documentary, which could serve as a consideration for assessing public awareness in rationally responding to a film and improving the quality of democracy in Indonesia. This research will test the accuracy of data used in classification using the Naive Bayes Classifier based on collected Twitter data. The evaluation results of the Naive Bayes model for sentiment classification showed an accuracy of 86%, with a precision of 84% and a recall of 91%. When compared to the implementation of hyperparameter tuning using grid search with a stratified k-fold combination and parameter configurations for alpha: [0,1], binarize: [0.0], and fit prior: [true, false], better results were obtained with an accuracy of 90%, a precision of 87%, and a recall of 94%. This demonstrates that using parameter optimization methods from grid search can help improve the accuracy of a classification model. It is hoped that this research will contribute significantly to the development of Indonesia’s democratic system, particularly in raising public awareness to think more rationally and critically when evaluating and analyzing a film.
APPLICATION OF VGG16 ARCHITECTURE IN WOOD TYPE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK Afiah, Nurul Anggun; Syahrullah, Syahrullah; Ardiansyah, Rizka; Laila, Rahmah; Pohontu, Rinianty
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 1 (2025): JUTIF Volume 6, Number 1, February 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.1.3874

Abstract

Wood is an important natural resource in construction and the furniture industry, with various types possessing unique characteristics. The selection of wood types is often done manually, which is prone to errors that can negatively impact the working process, product quality, and the sustainability of the forests that source the wood. Therefore, this research aims to improve classification accuracy through the application of technology. This study utilizes Convolutional Neural Network (CNN) with the VGG16 architecture to process images in analyzing the visual characteristics of wood, with the goal of building a model capable of classifying wood types based on images. The dataset used consists of 1,584 samples of wood images sourced from Kaggle. Four models were tested with variations in the training and validation data splits, as well as the use of Adam and Adamax optimizers, over 100 epochs. Model 1 achieved a training accuracy of 96.68% and a testing accuracy of 98.10%. Model 2, with a training accuracy of 99.47% and a testing accuracy of 98.41%, showed the best performance. Models 3 and 4 also yielded testing accuracies of 97.46% and 97.78%, respectively. The results of this study indicate that the application of CNN with the VGG16 architecture can enhance the effectiveness of wood type classification and contribute to more accurate and efficient wood selection practices.
TWITTER (X) SENTIMENT ANALYSIS OF KAMPUS MERDEKA PROGRAM USING SUPPORT VECTOR MACHINE ALGORITHM AND SELECTION FEATURE CHI-SQUARE Sari, Mutiara; Syahrullah, Syahrullah; Lapatta, Nouval Trezandy; Ardiansyah, Rizka
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 5 (2024): JUTIF Volume 5, Number 5, Oktober 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.5.2037

Abstract

Ministry of Education, Culture, Research and Technology (Kemendikbudristek) has implemented numerous policies aimed at enhancing the quality of education in the country. One of these policies is Kampus Merdeka program. The program includes various initiatives such as Teaching Campus, the Merdeka Student Exchange program, and Internship and Independent Study programs, which have gained significant popularity among students across Indonesia. However, the Kampus Merdeka program has drawn many pros and cons, with some parties supporting the initiative, but also many criticisms related to its implementation, which is considered not optimal in some educational institutions. Social media is where many of these opinions are voiced, one of the most widely used of which is twitter. In light of these circumstances, this study conducted a sentiment analysis of the independent campus program to assess public sentiment towards it. The dataset used in this research consisted of 500 tweets containing the keyword "kampus merdeka" with 250 tweets reflecting positive sentiment and 250 tweets reflecting negative sentiment. The results of the tests carried out obtained the highest increase in results in the 10:90 ratio, namely with an accuracy that increased by 14% from the previous 66% to 80%, precision also increased by 22% from the previous 67% to 89%, recall increased by 16% from the previous 58% to 79%, and the f1-score value which was previously 62% turned into 79% because it also increased by 17%.
Co-Authors Abdul Hadi Abdul Mahatir Najar Abdurrohman, Firman Muhammad Afiah, Nurul Anggun Afwah, Raden Agustinus Kali Aji Saputra, Andi Albania, Faradiva Andi Hendra Anita Ahmad Kasim Ardiyansyah, Rizka Arskal Salim Aswat, Fajar Atmowidjoyo, Sutardjo Ayu Hernita Bagaskara, Febrian Chrissma Baso Mukhlis Chairunnisa Ar. Lamasitudju Chandra, Ferri Rama Darman, Guna Dede Rosyada Deden Edi Delia, Fenita Deny Wiria Nugraha Dessy Santi Devilito Prasetyo Tatipang Dharmakirti, Dharmakirti Dwi Shinta Angreni Dwimanhendra, Muhammad Rifaldi Dwiwijaya, Kadek Agus Edi, Deden Eva Nugraha Fadlilah, Dina Rahma Fahmi, Moh. Faisal Faisal Fajar Harguna Endra Putra Faldiansyah, Faldiansyah Fatima, St. Nur Aima Filhaq, Raghib Hajra Rasmita Ngemba Hakim, Ibrahim Hamid, Odai Amer Hardjadinata, Hardjadinata Hastuti, Saptiyani Heru Budi Santoso Ihwan, Abib Raifmuaffah Iman Santoso Indrajaya, Muhammad Aristo Irsyadiah, Nur Irwan Irwan Irwan, Anas Jamal, Nur Jannah, Aulia Raudhatul Kartika, Rina Kasaedja, Tafania Natalia Kasim, Erni Kasmar, Kasmar Khasanah, Siti Uswatun Kunaenih, Kunaenih Laila, Rahma Lakatjinda, Adiatma Lamasitudju, Chairunnisa Luthfi, Atabik Magfirah, Magfirah Maharani, Wulan Mahdi Mahdi, Mahdi Maulidyani Abu Mohamad Irfan, Mohamad Mohammad Yazdi Pusadan Muhammad Afif Muhammad Muhammad Muhammad Rizka, Muhammad Murmayani Mustika, Muhammad Fery Mutiara Sari Nahuda, Nahuda Nasrullah Nasrullah Nouval Trezandy Lapatta Noviantika, Noviantika Nuari, Feby Nabiilah Nur Husnil Khatimah Nur Khasanah Nurhikmah Supardi Nurwijayanti, Karina Prakoso, Dicky Dwi Pramadinda, Alda Nur Priska, Salsa Dilah Putra, Fajar Harguna Endra Putu Wahyu Sudewi Rabbani, Pasya Nuron Rahmah Laila Rasmita Ngemba, Hajra Rasmita, Hajra Ratnandari, Luluk Dwi Resnawati Rifki, Moh Rinianty, Rinianty Rizaldi, Andi Risfan Rizka Ardiansyah Ryfial Azhar, Ryfial Sani, Ilham Abdillah Sanusi, Gufran Saputra, Soni Adi Sau, Tenri Septiano Anggun Pratama Siti Khairunnisa, Siti Sukardi Weda, Sukardi Sulaeman, Maryam Syaiful Hendra Syairozi, Ishak Syarif Firmansyah Syarifuddin Dollah Tenri Sau Triasni, Aprilia Utami, Shanty Riza Wahyuni, Asti Wawagalang, A. Nolly Sandra Widiani, Ni Nengah Wijaya, Padma Wildan Imaduddin Muhammad, Wildan Imaduddin Wirdayanti Wongkar, Noel Marcell Jonathan Yanti, Wirda Yayan Sopyan Yuri Yudhaswana Joefrie Yusuf Anshori Zulkifli Zulkifli