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All Journal JURNAL ECONOMIA Efisiensi : Kajian Ilmu Administrasi MEKTEK Foristek TEKNIK Transmisi: Jurnal Ilmiah Teknik Elektro Sabda: Jurnal Kajian Kebudayaan HUMANIKA Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Jurnal Ilmu Perpustakaan Excellent Techno.Com: Jurnal Teknologi Informasi Journal of Education and Learning (EduLearn) Paramita: Historical Studies Journal KOMUNITAS: INTERNATIONAL JOURNAL OF INDONESIAN SOCIETY AND CULTURE Rekayasa: Jurnal Penerapan Teknologi dan Pembelajaran BAHASA DAN SASTRA Jurnal Natapraja : Kajian Ilmu Administrasi Negara Al-'Adalah Jurnal KALAM Analisis: Jurnal Studi Keislaman Al-Hikmah Mozaik Humaniora International Journal of Advances in Intelligent Informatics Jurnal Kebijakan dan Administrasi Publik Scientific Journal of Informatics Jurnal Ilmiah Giga Jurnal Ijtimaiyya Jurnal Populasi Journal of Information Systems Engineering and Business Intelligence COMPETITIVENESS JOURNAL Jurnal Sejarah Citra Lekha Kurva S : Jurnal Keilmuan dan Aplikasi Teknik Sipil Al-Adyan: Jurnal Studi Lintas Agama JURNAL MAHKAMAH Jurnal Ilmiah Peuradeun ARISTO Cakrawala : Jurnal Humaniora Bina Sarana Informatika JPPUMA: Jurnal Ilmu Pemerintahan dan Sosial Politik Universitas Medan Area CaLLs : Journal of Culture, Arts, Literature, and Linguistics Jurnal Penelitian Pendidikan IPA (JPPIPA) Ilmu Budaya: Jurnal Bahasa, Sastra, Seni, dan Budaya JRST (Jurnal Riset Sains dan Teknologi) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Humani (Hukum dan Masyarakat Madani) Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) HARMONI IHiS (Indonesian Historical Studies) Journal of Maritime Studies and National Integration Expose: Jurnal Ilmu Komunikasi MITRA: Jurnal Pemberdayaan Masyarakat LUGAS Jurnal Komunikasi Jurnal Hukum Ekonomi Syariah IKRA-ITH ABDIMAS Journal of Humanities and Social Studies FONDATIA Viva Medika: Jurnal Kesehatan, Kebidanan dan Keperawatan Poltekita : Jurnal Ilmu Kesehatan Jurnal Onoma: Pendidikan, Bahasa, dan Sastra EPI International Journal of Engineering Jurnal Penelitian Enjiniring Fakultas Teknik Unhas Jurnal Komunikasi dan Organisasi (J-KO) International Journal of Demos Mutawatir : Jurnal Keilmuan Tafsir Hadith Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Ilmiah Ilmu Komunikasi Communique ANALISIS - SCIENTIFIC JOURNAL OF ECONOMICS, MANAGEMENT, BUSINESS, AND ACCOUNTING Abdi Kami : Jurnal Pengabdian Kepada Masyarakat Jurnal Kajian Komunikasi dan Pembangunan Daerah Construction and Material Journal Jurnal Promotif Preventif International Journal of Mechanical Engineering Technologies and Applications (MECHTA) Jurnal Riset Teknologi Pencegahan Pencemaran Industri Journal of Soft Computing Exploration Engineering, Mathematics and Computer Science Journal (EMACS) Zona Laut : Jurnal Inovasi Sains dan Teknologi Kelautan Jurnal Ilmiah Wahana Pendidikan Journal La Sociale International Journal of Robotics and Control Systems International Journal of Economy, Education and Entrepreneurship (IJE3) Jurnal Valuasi : Jurnal Ilmiah Ilmu Manajemen dan Kewirausahaan Lani: Jurnal Kajian Ilmu Sejarah dan Budaya ALEXANDRIA: Journal of Economics, Business, and Entrepreneurship Jurnal Teknik Sipil Al-Afaq: Jurnal Ilmu Falak dan Astronomi Unnes Journal of Mathematics Education Unnes Journal of Mathematics Healthy Tadulako Journal (Jurnal Kesehatan Tadulako) Indonesian Journal of Research and Educational Review (IJRER) Batara Wisnu : Indonesian Journal of Community Services Bussman Journal : Indonesian Journal of Business and Management KOMUNIKATA57 Al-MIKRAJ: Jurnal studi Islam dan Humaniora Jurnal Bilqolam Pendidikan Islam Jurnal Pengabdian Teratai Formosa Journal of Applied Sciences (FJAS) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Maritime Park: Journal Of Maritime Technology and Socienty Jurnal El-Thawalib Journal of Law, Poliitic and Humanities Jurnal Peradaban Masyarakat (JPM) YASIN: Jurnal Pendidikan dan Sosial Budaya Journal of Innovation and Research in Primary Education Analisa: Journal of Social Science and Religion Al-Istinbath: Jurnal Hukum Islam INOVASI: Jurnal Hasil Pengabdian Masyarakat Mamangan Social Science Journal Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Jurnal Inovtek Seri Teknik Sipil dan Aplikasi (TekLA) Jurnal Manajemen, Akuntansi, Ekonomi Studies in English Language and Education Jurnal Cyber PR ARMADA : Jurnal Penelitian Multidisiplin Jurnal Masyarakat Madani Indonesia Innovative: Journal Of Social Science Research IPTEK: Jurnal Hasil Pengabdian kepada Masyarakat SINTHOP: Media Kajian Pendidikan, Agama, Sosial dan Budaya International Journal of Sharia Business Management Multazam : Jurnal Manajemen Haji dan Umrah Bangun Desa : Jurnal Pengabdian Masyarakat J-EDu : Journal - Erfolgreicher Deutschunterricht Journal of Information System Exploration and Research Tanjungpura Journal of Coaching Research Ininnawa: Jurnal Pengabdian Masyarakat Jurnal Abdimas Lamin Recursive Journal of Informatics Research in Education, Technology, and Multiculture Social Science Academic Journal of Contemporary Law Studies Journal of Law & Policy Review GEMBIRA (Pengabdian Kepada Masyarakat) PEDAMAS (Pengabdian Kepada Masyarakat) AGROTEKBIS: Jurnal Ilmu Pertanian JKAP (Jurnal Kebijakan dan Administrasi Publik) ANDIL Mulawarman Journal of Community Engagement Jurnal Mediasas : Media Ilmu Syari'ah dan Ahwal Al-Syakhsiyyah Jurnal ARSI : Administrasi Rumah Sakit Indonesia Indonesian Journal of Maritime Technology or abbreviated (ISMATECH) Scientific Journal of Informatics Jurnal Agroteknologi dan Kehutanan Tropika Brand Communication Jurnal Pengabdian Kepada Masyarakat Kalam Jurnal Abdi Negeriku JIPITI: Jurnal Pengabdian kepada Masyarakat Kinerja : Jurnal Manajemen Pendidikan Islam Media Keperawatan: Politeknik Kesehatan Makassar Abdurrauf Journal of Community Service Jurnal Abdita Naturafarm Jurnal Riseta Soshum Journal of Islamic Mubādalah EDUTREND: Journal of Emerging Issues and Trends in Education Jurnal Ilmiah Multidisiplin TANJAK : Jurnal Pengabdian Kepada Masyarakat J-CEKI Ulil Albab Jurnal Ilmiah Riset Aplikasi Manajemen Jurnal Ilmiah Pariwisata Aksi Kita: Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Mathematics and Natural Sciences Jurnal Ilmu Sosial dan Humaniora Journal of Management Branding HUKUM EKONOMI ISLAM Jurnal El-Thawalib Jurnal Abdi Negeri Journal of Literature Review Recursive Journal of Informatics
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Komunikasi Digital sebagai Instrumen Pelestarian Cagar Budaya: Program Pengabdian Masyarakat di Kota Bandung Daragana, R. Subchan; Kencana, R. Femmy Diajeng; Alamsyah, Alamsyah; Akriadi, Akriadi; Lestari, Linda; Mihardja, Eli Jamilah; Wijaya, Bambang Sukma; Haeirina, Kurniati Putri
IKRA-ITH ABDIMAS Vol. 10 No. 1 (2026): IKRAITH-ABDIMAS Vol 10 No 1 Maret 2026
Publisher : Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikra-ithabdimas.v10i1.6187

Abstract

Perkembangan media digital telah mengubah cara masyarakat memahami dan memaknai warisan budaya perkotaan. Di tengah dominasi konten instan dan visual di ruang digital, narasi cagar budaya kerap terpinggirkan dan berisiko direduksi menjadi sekadar objek estetika. Artikel ini membahas kegiatan pengabdian kepada masyarakat bertajuk Bandung Heritage Seminar & Training yang diselenggarakan oleh mahasiswa Magister Ilmu Komunikasi Universitas Bakrie melalui mata kuliah Komunikasi Digital. Kegiatan ini bertujuan untuk meningkatkan literasi komunikasi digital masyarakat dalam mendukung pelestarian dan promosi cagar budaya Kota Bandung. Metode pengabdian menggunakan pendekatan partisipatif dan kolaboratif melalui seminar, diskusi interaktif, dan pelatihan literasi komunikasi yang dilaksanakan secara hybrid dengan melibatkan pemerintah daerah dan komunitas budaya. Hasil kegiatan menunjukkan peningkatan pemahaman peserta mengenai nilai cagar budaya serta kesadaran kritis terhadap peran media digital sebagai instrumen pelestarian non-fisik. Selain itu, kegiatan ini memperkuat kolaborasi antara perguruan tinggi, pemerintah, dan komunitas dalam membangun narasi heritage berbasis komunikasi. Artikel ini menyimpulkan bahwa komunikasi digital memiliki peran strategis dalam pelestarian cagar budaya apabila digunakan secara kontekstual, reflektif, dan bertanggung jawab, serta dapat menjadi model pengabdian masyarakat berbasis komunikasi di era digital
Konstruksi “Bocor Alus Politik” Tempodotco terhadap Manajemen Komunikasi Pemerintahan Prabowo Maida, Serepina Tiur; Enrieco, Edward; Sartika, Rawit; Pranawukir, Iswahyu; Alamsyah, Alamsyah
Jurnal Cyber PR Vol 5, No 2 (2025)
Publisher : University of Prof. Dr. Moestopo (Beragama)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32509/cyberpr.v5i2.6509

Abstract

This study aims to analyze how Tempodotco, through the program “Bocor Alus Politik,” constructs the representation of communication management in the Prabowo Subianto administration, specifically through the episode titled “Sjafrie Sjamsoeddin di Antara Manuver Politik dan Komunikasi Ruwet Prabowo.” The approach employed is qualitative content analysis, examining narrative messages, diction, framing, and political symbols presented in the episode. The focus of the analysis is on how Tempodotco narrates the dynamics of political communication within the elite circles of government, including communication strategies, discourse conflicts, and the leadership image of Prabowo constructed through digital political journalism narratives. The findings indicate that “Bocor Alus Politik” does not merely provide information but functions as a discursive space framing the government as an entity characterized by intrigue and complex internal communication. The framing presented by Tempodotco constructs the image of the Prabowo administration as a figure with fragmented yet strategic communication, revealing the dialectics between loyalty, pragmatism, and efforts to maintain post-election political stability. This study contributes to the study of digital media political communication by highlighting the role of media in shaping public perception of the governance and communication management of a new administration.
Edukasi Literasi Digital bagi Siswa Sekolah Dasar Negeri 01 Sukamulya di Desa Sukamulya, Kecamatan Semendawai Suku III, Kabupaten Ogan Komering Ulu Timur, Provinsi Sumatera Selatan Kania, Sherlyna Tea; Sari, Kadek Muktiana; Muthia, Kiki; Sakinah, Vanessa Olivia; Alamsyah, Alamsyah
Bangun Desa: Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2024)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/jbd.2024.3(1).52-73

Abstract

AbstrakData BPS 2022 menunjukkan bahwa hampir sebagian anak usia dini di Indonesia dapat menggunakan ponsel (33,44%) dan mengakses internet (24,96%). Kondisi ini menyebabkan anak usia dini rentan terhadap gadget, termasuk populasi anak usia dini di Desa Sukamulya, Kecamatan Semendawai Suku III, Kabupaten Ogan Komering Ulu Timur, Provinsi Sumatera Selatan, yang mulai mengenal beragam gadget meski belum merata. Situasi ini mendorong penulis menginisiasi edukasi literasi digital di Desa Sukamulya yang melibatkan siswa, guru, dan orang tua murid di Sekolah Dasar Negeri 01 Sukamulya. Materi edukasi literasi digital (misalnya, bullying, phishing, dan lain-lain) disampaikan kepada peserta melalui teknik ceramah, presentasi, tanya-jawab, dan diskusi. Kegiatan yang berlangsung selama dua tahap ini (sosialisasi dan evaluasi) berhasil meningkatkan pengetahuan para peserta tentang penggunaan gadget secara pintar dan sehat. Penulis memberi izin agar pemerintah dapat mengintegrasikan literasi digital ke dalam kurikulum serta meningkatkan fasilitas dan akses yang diperlukan untuk pembelajaran. Pelatihan guru untuk meningkatkan keterampilan mereka dalam dunia teknologi, serta pelibatan orang tua untuk membimbing dan membimbing anak-anak dalam penggunaan gadget, juga menjadi hal yang perlu direalisasikan untuk menghadapi tantangan di era digital. Dukungan dari pemerintah dan kolaborasi multipihak akan mewujudkan keinginan dan tercapainya program ini.Kata kunci : edukasi, literasi digital, teknologi, gadget AbstrakData BPS tahun 2022 menunjukkan hampir separuh anak usia dini di Indonesia sudah bisa menggunakan handphone (33,44%) dan mengakses internet (24,96%). Kondisi tersebut membuat anak usia dini rentan mengalami kecanduan gadget, tak terkecuali anak usia dini di Desa Sukamulya, Kecamatan Semendawai Suku III, Kabupaten Ogan Komering Ulu Timur, Provinsi Sumatera Selatan yang mulai mengenal berbagai macam gadget meski belum merata. Inilah yang mendorong penulis untuk menginisiasi Pendidikan literasi digital di Desa Sukamulya dengan melibatkan siswa, guru dan orang tua di Sekolah Dasar Negeri 01 Sukamulya. Materi edukasi literasi digital (misalnya bullying, phising, dan lain-lain) disampaikan kepada peserta dengan menggunakan teknik ceramah, presentasi, tanya jawab, dan diskusi. Kegiatan dua tahap (sosialisasi dan evaluasi) ini berhasil meningkatkan pengetahuan peserta tentang penggunaan gadget yang cerdas dan sehat. Penulis merekomendasikan agar pemerintah dapat mengintegrasikan literasi digital ke dalam kurikulum dan meningkatkan fasilitas serta akses yang diperlukan untuk pembelajaran. Melatih guru untuk meningkatkan keterampilannya dalam dunia teknologi, serta melibatkan orang tua untuk membimbing dan membimbing anak dalam penggunaan gadget, juga menjadi hal yang perlu diwujudkan untuk menghadapi tantangan di era digital. Dukungan pemerintah dan kolaborasi multipihak akan menjamin keinginan dan keberhasilan program ini.Kata Kunci : pendidikan, literasi digital, teknologi, gadget
Assessment of Coconut Petiole Fiber–Reinforced Hybrid Composites as Sustainable Materials for Ship Components Pawara, Muhammad Uswah; Alamsyah, Alamsyah; Arifuddin, Andi Mursid Nugraha; Ikhwani, Rodlian Jamal; Syam, Muhammad Anjas; Pratama, Fernanda Wahyu; Mas`ud M, Ahmad Azwar
Indonesian Journal of Maritime Technology Vol. 3 No. 2 (2025): Volume 3 Issue 2, December 2025
Publisher : Naval Architecture Department, Kalimantan Institut of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/ismatech.v3i2.8481890

Abstract

The use of synthetic fibers in composite materials in the shipping industry provides mechanical advantages but produces non-biodegradable waste. This encourages the development of more environmentally friendly natural fiber-reinforced composite materials. This study examines the physical properties and tensile strength of composites made from a mixture of coconut petiole fibers and fiberglass, including the effect of immersion in seawater and freshwater for 30 days. The results show that the composites experience an average water absorption of 0.074% (freshwater) and 0.065% (seawater). Tensile tests show average tensile strength values ​​of 35.837 MPa (freshwater), 31.890 MPa (seawater), and 41.290 MPa (without immersion). Immersion in an aqueous medium reduces the tensile strength due to interfacial degradation between the fiber and the matrix. Coconut petiole fiber–fiberglass composites have the potential to be an alternative material for ship components with competitive and environmentally friendly mechanical characteristics
Implementation of the K-Nearest Neighbor Algorithm (KNN) with Principal Component Analysis to Diagnose Tuberculosis Putri, Yuliana; Alamsyah, Alamsyah
Recursive Journal of Informatics Vol. 3 No. 2 (2025): September 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rji.v3i2.5235

Abstract

Purpose: Tuberculosis (TB) is an infectious disease that attacks the respiratory organs, the lungs, and some can attack organs outside the lungs. Indonesia is one of the largest contributors to TB cases with around 320,000 new cases every year. Delays in diagnosing TB disease can cause a higher number of deaths due to errors in the treatment of sufferers. This makes the early diagnosis of TB disease important as early as possible. The research carried out aims to implement machine learning techniques to help diagnose TB disease. Methods: The research was carried out using the K-Nearest Neighbor (KNN) classification algorithm which was optimized with the Principal Component Analysis (PCA) feature selection technique. The dataset used consists of 577 data with 12 attributes labeled patients with tuberculosis and patients who do not have tuberculosis. Result: From the research that has been conducted, models that implement the KNN algorithm with PCA produce models with better performance than models that only implement KNN. The model that only uses KNN gets an accuracy of 92.528%, while the model that uses KNN and PCA gets an accuracy of 98.85%. This shows that the implementation of KNN and PCA is able to produce a good tuberculosis diagnosis model and can be used to assist in the early diagnosis of tuberculosis. Novelty: Using PCA in the feature selection process can reduce unnecessary attributes. It is a PCA that helps reduce the dimensionality, simplifies the visualization and interpretation of complex data sets. The use of PCA has been proven to be able to optimize the performance of the KNN algorithm for the detection of tuberculosis.  
Textual Entailment for Non-Disclosure Agreement Contract Using ALBERT Method Azmi, Abdillah; Alamsyah, Alamsyah
Recursive Journal of Informatics Vol. 3 No. 1 (2025): March 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rji.v3i1.9730

Abstract

Purpose: NDA (Non-Disclosure Agreement) is one type of contract letter. An NDA binds two or more parties who all agree that certain information shared or created by one party is confidential. This type of contract serves to protect sensitive information, maintain patent rights, or control the information shared. Reading and understanding a contract letter is a repetitive, time-consuming, and labor-intensive process. Nevertheless, the activity is still crucial in the business world, as it can bind two or more parties under the law. This problem is perfect for Artificial Intelligence using Deep Learning. Therefore, this research aims to test and develop a pretrained language model that is designed for understanding contract letters through Natural Language Inference task. Method The method used is to train model to perform the language inference task of textual entailment using CNLI (Contract NLI) dataset. ALBERT-base model version that has been tuned to perform textual entailment is used along with LambdaLR for early stopping and AdamW as optimizer. The model is pre-trained with CNLI dataset several times with multiple hyperparameter. Result: As a result, the ALBERT base model that was used showed an accuracy score of 85 and EM score up to 85.04 percent. Although this score is not the State of the Art of the CNLI benchmark, the trained model can outperform other base versions of model that based on BERT and BART, like SpanNLI BERT-base, SCROLLS (BART-base) and Unlimiformer (BART-base). Value: ALBERT is a model that focuses on memory efficiency and small size parameters while maintaining performance. This model is suitable for performing tasks that require long context understanding with minimum hardware requirements. Such a model could be promising for the future of NLP in the legal area.
Development of Digital Forensic Framework for Anti-Forensic and Profiling Using Open Source Intelligence in Cyber Crime Investigation Hakim, Muhamad Faishol; Alamsyah, Alamsyah
Recursive Journal of Informatics Vol. 2 No. 2 (2024): September 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/7ytx8194

Abstract

Abstract. Cybercrime is a crime that increases every year. The development of cyber crime occurs by utilizing mobile devices such as smartphones. So it is necessary to have a scientific discipline that studies and handles cybercrime activities. Digital forensics is one of the disciplines that can be utilized in dealing with cyber crimes. One branch of digital forensic science is mobile forensics which studies forensic processes on mobile devices. However, in its development, cybercriminals also apply various techniques used to thwart the forensic investigation process. The technique used is called anti-forensics. Purpose: It is necessary to have a process or framework that can be used as a reference in handling cybercrime cases in the forensic process. This research will modify the digital forensic investigation process. The stages of digital forensic investigations carried out consist of preparation, preservation, acquisition, examination, analysis, reporting, and presentation stages. The addition of the use of Open Source Intelligence (OSINT) and toolset centralization at the analysis stage is carried out to handle anti-forensics and add information from digital evidence that has been obtained in the previous stage. Methods/Study design/approach: This research will modify the digital forensic investigation process. The stages of digital forensic investigations carried out consist of preparation, preservation, acquisition, examination, analysis, reporting, and presentation stages. The addition of the use of Open Source Intelligence (OSINT) and toolset centralization at the analysis stage is carried out to handle anti-forensics and add information from digital evidence that has been obtained in the previous stage. By testing the scenario data, the results are obtained in the form of processing additional information from the files obtained and information related to user names. Result/Findings: The result is a digital forensic phase which concern on anti-forensic identification on media files and utilizing OSINT to perform crime suspect profiling based on the evidence collected in digital forensic investigation phase. Novelty/Originality/Value: Found 3 new types of findings in the form of string data, one of which is a link, and 7 new types in the form of usernames which were not found in the use of digital forensic tools. From a total of 408 initial data and new findings with a total of 10 findings, the percentage of findings increased by 2.45%.
Comparison of Naive Bayes Classifier and K-Nearest Neighbor Algorithms with Information Gain and Adaptive Boosting for Sentiment Analysis of Spotify App Reviews Saputro, Meidika Bagus; Alamsyah, Alamsyah
Recursive Journal of Informatics Vol. 2 No. 1 (2024): March 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jkrk0n56

Abstract

Abstract. At this time, the development of technology are increase rapidly. One of the issue that appear with advance technology is data volume in the world has increase too. With the large data volumes that exist in the world it can be used to some purpose in many field. Entertainment is one of the field that have many interest from user in this world. Spotify is the example of entertainment apps that provided by Google Play Store to give online music streams to their users. Because that apps is provided by Google Play Store, many reviews of the user about the apps it can be classified to know the positive, negative, or neutral. One way to classified the review of user is make sentiment analysis. In this paper, to classify the review we use naïve Bayes classifier and k-nearest neighbors that will be compared with adding Information gain as feature selection and adaptive boosting as boosting algorithm of each classification algorithm that we used. The result of classification using naïve Bayes classifier with adding Information gain and adaptive boosting is 87.28% and k-nearest neighbor with adding information gain and adaptive boosting can perform accuracy of 80.35%. Purpose: Knowing the result each of accuracy from the naïve Bayes classifier and k-nearest neighbor algorithm with adding information gain and adaptive boosting that we used and know how to doing the sentiment analysis step by step with the methods that chosen in this study. Methods/Study design/approach: This study applied data preprocessing, lexicon based labelling with TextBlob, Normalization, Word Vectorization using TF-IDF, and classification with naïve Bayes classifier and k-nearest neighbor, information gain as feature selection, and adaptive boosting as boosting algorithm to boost the accuracy of classification result. Result/Findings: The accuracy of naïve Bayes classifier with adding information gain and adaptive boosting is 87.28%. Meanwhile, by k-nearest neighbor with adding information gain and adaptive boosting reach the accuracy of 80.35%. This result obtained by using 60.000 dataset with data splitting 80% as data training and 20% as data testing. Novelty/Originality/Value: Implementing information gain as feature selection and adaptive boosting as boosting algorithm to naïve Bayes classifier is prove that it can be increase the accuracy of classification, but not same when implementing in k-nearest neighbor. So, for the future research can applied another classification algorithm or feature selection to get better result.
Comparison of Probabilistic Neural Network (PNN) and k-Nearest Neighbor (k-NN) Algorithms for Diabetes Classification Azzahrah, Diah Siti Fatimah; Alamsyah, Alamsyah
Recursive Journal of Informatics Vol. 1 No. 2 (2023): September 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/c363d161

Abstract

Purpose: This study aims to compare algorithms to determine the accuracy of the algorithm and determine the speed of the algorithm used for diabetes classification. Methods: There are two algorithms used in this study, namely Probabilistic Neural Network (PNN) and k-Nearest Neighbor (k-NN). The data used is the Pima Indians Diabetes Database. The data contains 768 data with 8 attributes and 1 target class, namely 0 for no diabetes and 1 for diabetes. The dataset has been divided into 80% training data and 20% testing data. Result: Accuracy is obtained after implementing k-fold cross validation with a value of k = 4. The accuracy results show that the k-Nearest Neighbor algorithm is superior and has better quickness compared to the Probabilistic Neural Network. The k-Nearest Neighbor algorithm obtains an accuracy of 74.6% for all features and 78.1% for four features Novelty: The novelty of this paper is optimizing and improving accuracy which is implemented with by focusing on data preprocessing, feature selection and k-fold cross validation in the classification algorithm
C4.5 Algorithm Optimization and Support Vector Machine by Applying Particle Swarm Optimization for Chronic Kidney Disease Diagnosis Ariyanti, Lisa; Alamsyah, Alamsyah
Recursive Journal of Informatics Vol. 1 No. 1 (2023): March 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/cdnb8v88

Abstract

Abstract. Kidneys are one of the organs of the body that have a very important function in life. The main function of the kidneys is to excrete metabolic waste products. Chronic kidney disease is a result of the gradual loss of kidney function. Chronic kidney disease occurs when the kidneys are unable to maintain an internal environment consistent with life and the restoration of useless functions. Data mining is one of the fastest growing technologies in biomedical science and research. Purpose: In the field of medicine, data mining can improve hospital information management and telemedicine development. In the first stage of data mining process, data processing is done with pre-processing by handling missing values ​​and data transformation. Then, the feature selection stage is carried out using the Particle Swarm Optimization algorithm to find the best attributes. Next, it is done by classifying the dataset. Methods/Study design/approach: The algorithm used for classification is the C4.5 Algorithm and the Support Vector Machine. Both classifications are known as algorithms that have a fairly good level of accuracy. This study uses the chronic kidney disease dataset from the UCI Machine Learning Repository. Result/Findings: This research increases the accuracy by 100% for the C4.5 Algorithm and 98.75% for the Support Vector Machine by using 24 attributes and 1 class attribute. Novelty/Originality/Value: The purpose of this study was to determine the level of accuracy of the comparison between the C4.5 Algorithm and the Support Vector Machine after applying the Particle Swarm Optimization algorithm.
Co-Authors -, Mukharom A Fahira Nur A. Mushawwir Taiyeb, A. Mushawwir A.Paturusi, Idrus Abd. Rahman Bahtiar, Abd. Rahman Abdillah, Riza Abdirozaq, Mifta Abdul Kholiq Abdul Mujib Syadzali Abdul, Ghafur ABDULRAHMAN, DIMAS Abdurahman, Ade Irfan Abdurrahman, Ade Irfan Abidin, Muhamad Zainal Abror, Wiena Faqih Achmad Musyahid, Achmad Achmad Syarifudin, Achmad Aden Rosadi Adi, Yuanita Permata Adiningrat, Andi Arifwangsa Aditya Bimandaru Adrianton Adrianton Afifah, Eka Nur Afrida Sary Puspita Afrilian Ardi Arus, Afrilian Ardi Afrizal Rizqi Pranata, Afrizal Rizqi Agus Hitopa Sukma Agustan Agustan, Agustan Agustina, Tin Agustinus Kali Ahdi, Hapizul Ahmad Nashir Ahmad Syarif Ahwan, M Tami Rosadi Airlangga, Gregorius Akhmad, Akhmad Akriadi, Akriadi Al-Araf, Khairunnisa Al-Hafizh, Fadhl Alamsyah Aldin, Aldin Alfajry, Gefian Alfharezi, M. Salman Alfitri Alfitri Ali Akbar Amalina, Fitri Ambo Dalle Aminuyati Amiruddin Kade Ana, Ninda Ade Anantadjaya, Samuel PD Andayani, Lies Andy Alfatih Angelina, Riska Angga, Vicky Very Anggela, Anggela Anggyi Trisnawan Putra Angreany, Femmy Aniskuri, Lulu Fitria Anugrah, Dapa Putra Ardiansyah, Fahmi Arian, Vabrian Prima Dana Arif, Fathan Arifuddin, Andi Mursid Nugraha Arifuddin, Mursid Nugraha Arina Faila Saufa, Arina Faila Ariolin, Anantha Revoislami Ariyanti, Lisa Arlian Fachrul Syahputra Aryo Nugroho Asnidar Asnidar Asri, Wahyu Kurniati Asriati Asriati, Asriati Astagina, Paramesti Astari, Arini Widi Astin, Widya Yulia Astrid, A Fauziah Auda, Faiz Khoir Aulia, Ahmad Bagas Aditya Ilham Awaludin, Dipa Teruna Ayatullah Harun Ayun Maduwinarti Azmi, Abdillah Azzahra, Marsha Azzahrah, Diah Siti Fatimah Azzura4, Nazhwa Bachtiar, Alfan Bachtiar, Fauziah BAHITS, ABDUL Bambang Sukma Wijaya Barizki, Rezzi Nanda Baso Mukhlis Bertin Ayu Wandira Bia Dwiripa Botutihe, Fauziah Budi Prasetiyo, Budi Budi Susanto Budiman, Kholiq BUKHORI, MOHAMMAD Burhamzah, Muftihaturrahmah Burhamzah, Rahmat Cahyani, Alviana Eka Chandra, Adi Damayanti, Amalia Damayanti, Prisila Daragana, R. Subchan Desilawati, Nur Dewi Yuliati Dewi, Dyah Utami Dianiswara, Anggoronadhi Diantoro, Eman Djunuda, Rahmawati Dora Kusumastuti Dwi Ridho Aulianto Dwicahyo, Widhi Okfian Dwijanto Dwijanto, Dwijanto Dyah, Hapsari Ekonugraheni Edi Purwanta Edward Enrieco Efrilianda, Devi Ajeng Eka Mulyana, Eka el-Hajjami, Aicha Eli Jamilah Mihardja Enda, Dedi Endang Sugiharti, Endang Eni Setyowati Erita Riski Putri Ernawati Ernawati Esti Handayani, Dwi Etin Anwar, Etin Fahmi, Yuniar Krinanda Faisal Mahmuddin Fajardini, Cahaya Tuf Fakhruddin Fakhruddin Faozi, Irfan Fatari, Fatari Fatmawati Amir Fauzan Syahru Ramadhan Febryano Manggala Putra Ferdian, Syahrul Fikri, Arif Fitriana, Susi Fitriani, Danik Florentina Yuni Arini, Florentina Yuni Fournawati, Sri Murdilah Fridayasha, Nur Furkon Sukanda, Ukon Habib Shulton Asnawi Haeirina, Kurniati Putri Hafidz Hanafiah Haimah, Haimah Hajra Rasmita Ngemba Hakim, M. Faris Al Hakim, Muhamad Faishol Halim, Bravura Candra Halim, Susanna Hamida Umil Khoiriyah Handarko, Jefry Latu Handayani, Dwi Esti Handayani, Tut Handoko, V.Rudy Hanum, Irma Surayya Hapsari, Dessy Purwita Hardi Suyitno Hardinata, Riyan Harinurhady, Agus Hariyanti, Kiki Andes Hariyono, Hariyono Harningsih, Harningsih Haryono Rinardi Hasbullah Hasbullah Helda Syahfari Hendra Alfani, Hendra Hermansyah, Agung Hermiyanti Hermiyanti, Hermiyanti Hidasari, Fitriana Puspa Hidayat, Kukuh Triyuliarno Hijjah, Siti Dzul Hijriah, Hijriah Hiswanti Hiswanti Hitopa Sukma, Agus Husyam, Husyam I Ketut Eddy Purnama Iis Isnawati Iismayanti Ikhwani, Rodlian Jamal Ilham Insani, Muhammad Illy Yanti Imam Ahmad Ashari, Imam Ahmad Iman, Maidi Muhammad Indrajaya, Muhammad Aristo Indriani Tiara Putri, Indriani Tiara Irvani, Rodhy Irwan, Hadriani Irwanda, Andri Irzan Soepriyadi Ishomuddin, A. 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Uswah Pawara Mahendra, Yoga Mahmud Mahmud Mahriani Makin, See Jong Malek, Nor Fazila Abd Mannahali, Misnah Mansyur, Saidin Marhaen Hardjo Marsiana, Siwi Martdiansyah, Martdiansyah Marwan Marwan Maryanto - MASITHA, DEWI Masrur, Masrur Mas`ud M, Ahmad Azwar Maulana Maulana, Maulana Maulana, Andin Muhammad Mauridhi Hery Purnomo Mery Subito Mery Yanti Miftahul Jannah Misnan, Misnan Mochammad Mirza mubarak, azhar aras Much Aziz Muslim Muhajir, Fatimah Muhammad Alim Akbar Nasir Muhammad Aqil Muhammad Aziz Muhammad Haikal Muhammad Husni Thamrin, Muhammad Husni muhammad rizky, muhammad MUHAMMAD ULIN NUHA Muhammad, Afrizal Prasetyo Nur Muharram, Susilawati Muhlis Muhlis Muhrawati, Muhrawati Mujahida, Mujahida Mukhlas, Oyo Sunaryo Mursalin, Destrianto Muslimin, A. Mustamin, Siti Walidah Mustari, Aidynal Muthia, Kiki mutiah, siti Nabiilah, Syarafina Nafi, Anan Tawazzun Nana Mulyana Nanda Barizki, Rezzi Nawangwulan, Irma M Ngesti Lestari Nita Maya Valiantien Noerlina Anggraeni Noor Jannah, Noor Novianti, Dian Noviantoro, Djatmiko Novitasari, Eni Noviyanti, Cindy Nabila Nugraha Arifuddin, Andi Mursid Nugraha, Andi Mursid Nugroho, Anan Nugroho, Oskar Ika Adi Nuphanudin, Nuphanudin Nur Halimah Nuratika, Nuratika Nurdiana, Diah Nurdianti, Nunu Nurdin Zuhdi, M. Nurlela Nurlela Nurnawaty, Nurnawaty Nurul Faidah Nurulhuda, Muhammad Obing Zaid Sobir Oksapianus, David Soni P. Eko Prasetyo Paribang, Feston Sandi Pastika, Puan Bening Patrysya, Chelina Putri Permadi, Dimas Bayu Satria Permata, Nuniek Pramudya, Pahala Bima Prasetya, Agesta Citrasena Pratama, Fernanda Wahyu Pratama, Rizka Nur Prihartini, Amelia Prihatin, Joni Pugu, Dhanang Respati Puhululawa, Indriyani Pujo Hari Saputro Purwandito, Rizky Puspa Rini, Puspa Puspita Sari, Yeyen Putri, Atika Kurnia Putri, Erita Riski Putri, Rezania Novianti Putri, Rukiana Novianti Rahayu, Shinta Devi Ika Santhi Rahayuningrum, Hesti Rahmaddan, Muhammad Kevin Rahmat Dahlan Ramadhani, Fadhila Ramadhani, Rizky Raniasa Putra Ranindya Puspaning Mellaty, Ranindya Puspaning Rasyid, Anas Rasyid, Zulfaizal H.A. Ratu, Inaka Dalam Bangsa Retna Mahriani Rezzi Nanda Barizki Rhamadanty, Winda Ayu Utami Rhamadhan, Mohammad Ryan Richardo, Hizkia Natanael Ridwan Daud Mahande Rifan, Slamet Riri Anggriani Ririn Setyowati Riyanti, Mayang Riza Arifudin Rizana Fauzi, Rizana Rochmad - Rofik Rofik, Rofik Rohman, Shohihatur Rohmani, Muhammad Fadiel Rosalia, Hotmah Nur Rostiati Dg Rahmatu RR. Aryanti Kristantini Rudi Santoso, Rudi Rudi, Kurniawan Rufaida, Erty Rospyana Ruqaiyah, Ruqaiyah Ryfial Azhar, Ryfial S, Candra S, Ramli S, Zulfani Sa'adah, Shofi Putri Sabila, Ahda Sabrina Rocholl Safri Haliding Sakinah, Vanessa Olivia Salam, Hisbullah Samaluddin, Samaluddin Sam’an, Muhammad Sampurno, Global Ilham Samriadi, Andi Samsir Samsir, Samsir Samsu Dlukha N Saputra, Faisal Tomi SAPUTRA, SARIPUDIN Saputro, Meidika Bagus Saraswati, Erlisa Sari , Dyan Prawita Sari, Dwi Oktaria Sari, Kadek Muktiana Sari, Yenni Puspita Sartika Sartika Sartika, Rawit Sayful, Sayful Sebastian, Ligal Sekarningsih, Cindra Fajar Septian, Septian Septiandani, Dian Setialaksana, Wirawan - Setijadi, Eko Shukla, Manish Simon Sumanjoyo Hutagalung Singgih Tri Sulistiyono Siregar, Rachmi Kurnia Siti Harnina Bintari SITI MAHMUDAH Siti Maziyah Sitinah, Sitinah Sitorus, Chris Jeremy Verian Slamet Widodo Sobri, Kgs. M. 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Sukanda, Ukon Furkon Sukirman, Asrianti Sukma , Agus Hitopa Sukma Sukma, Agus Hitopa Sukma sukristyanto, Agus Sulasri, Sulasri SUMIYATI SUMIYATI Sunra, La Suntin, Suntin Sunyoto Sunyoto Supardi, Edy Surawan, Surawan Suryani, Atik Susanto, Is Suseno, Ari Susiloputro, Agus Syahab, Husein Syahbani, Nur Lisa Syahputra, Permana Surya Syaiful Hendra Syam, Muhammad Anjas Syamsiar, Syamsiar Syamsu Rijal Syamsuri, Andi Sukri Syarifah Fatimah, Syarifah Syarifuddin Dollah Syarifuddin Syarifuddin Tan Suryani Sollu Tantri, Agra Liz Taufik Hidayat Taufik Hidayat Therendy, Therendy Tiurmaida, Serepina Topanto, David Ulhaq, Muhammad Naufal Daffa Uray Gustian, Uray Urfah Atut Chosiyah Vannia, Adji Mayumi Veithzal Rivai Zainal Vember, Hilda Veybitha, Yolanda Vidyanto, Vidyanto Walid Walid, Walid Warda Warda Warjaya, Wahyu Wibisono, Tika Aryana Wicaksana, Dinar Anggit Widiargun, Diah Widjanarko Widjanarko, Widjanarko Wijaya, Vibra Wilma Prafitri Windi Nopriyanto Wira Setiawan Wiswadas, Wiswadas wukir, Iswahyu wulandari, amalia ika Wulandari, Ikrawanti Ayu Wulandari, Kevin Olyvia Yahya Nur Ifriza Yanuar Yoga Prasetyawan Yety Rochwulaningsih Yuli Rohmiyati Yuliana Putri Yuliatin yuliatin Yuliyana, Yuliyana Yundari, Yundari Yusnaini Arifin Yusnaini Yusnaini Yusuf Wisnu Mandaya Zaenal Abidin Zailani Surya, Marpaung Zainal Arifin Zakariyati, Zakariyati Zamruddin, Mardliya Pratiwi Zara Tania Rahmadi Zobir, Obing Said Zulkarnaen, Zen