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All Journal BERKALA SAINSTEK INFORMAL: Informatics Journal Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Jurnal Sistem Informasi dan Bisnis Cerdas Journal of Fisheries & Marine Journal of Informatics Development Dental Agromedis
Yanuar Nurdiansyah, Yanuar
Department Of Information Technology, Faculty Of Computer Science, University Of Jember, Jember. Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Electrical & Electronics Engineering Engineering Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Gerakan Zero Waste: Implementasi Pengelolaan Sampah Plastik Melalui Pemilahan Sampah Rumah Tangga pada Masyarakat Puger Jember Indahyani, Didin Erma; Rahayu, Prehatin Tri; Kusnadi; Negoro, Abdul Haris Suryo; Nurdiansyah, Yanuar; Wardani, L Dyah Purwita; Ganefo, Akhmad; Puspita, Indria Dwi; Sakinah, Wazirotus; Rudianto
Dental Agromedis Vol. 3 No. 1 (2025): Mei
Publisher : Fakultas Kedokteran Gigi, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/da.v3i1.5971

Abstract

The escalating problem of plastic waste has become a serious environmental concern, particularly in coastal areas such as Puger District, Jember Regency. This community service program aimed to implement a Zero Waste movement through household waste sorting as a fundamental step in community-based waste management. The methods applied included awareness campaigns and waste-sorting training and The results demonstrated a significant increase in public awareness and participation in waste sorting, as well as waste weighing to quantify the amount and types of household waste generated before and after the intervention. Moreover, there was a notable rise in family involvement in household waste management. This initiative proves that educational and participatory approaches can effectively drive behavioral change toward a low-waste lifestyle. The household-based Zero Waste movement offers a promising model for sustainable environmental empowerment in coastal communities.Keywords: zero waste, plastic waste, waste sorting, household, community empowerment, Puger-Jember
Analysis of Twitter Sentiment on the Implementation of Regional Elections in Indonesia During Covid-19 Using the Support Vector Machine Method Nurdiansyah, Yanuar
Journal of Informatics Development Vol. 4 No. 1 (2025): Oktober 2025
Publisher : Institut Teknologi dan Bisnis Widya Gama Lumajang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30741/jid.v4i1.1757

Abstract

Sentiment analysis or opinion mining is a series of problem solving based on public opinion. The opinion is in the form of text or writing in the form of documents obtained from social media. Sentiment analysis serves to determine public opinion in responding to a policy, activity or issue that is happening and being discussed, one of which is on Twitter social media. Sentiment analysis in this study focuses on the activities of the 2020 regional elections during the Covid-19 pandemic which was held on 9 December 2020. Twitter social media works in real-time, so in retrieving research data using the Trending Topic feature to retrieve research datasets. The results of the dataset are then processed using text mining techniques and used as material for analysis to determine the public's response to the implementation of the elections during covid- 19 whether it tends to have a positive or negative sentiment, as well as knowing the opinion factors that often arise. The adoption of the Support Vector Machine (SVM) method for sentiment analysis was carried out by testing the composition of various datasets. From the test results using 4 scenarios of training data and test data, namely 90:10, 80:20, 70:30, 60:40, it is obtained that the SVM method can be implemented with an accuracy value of 87% in the data scenario of 80% training data and 20% test data. Variables that affect accuracy are the amount of data, the ratio of the number of training and test data and the ratio of the number of positive and negative data used.
Pelatihan Pemrograman Visual Kodular Bagi Siswa SMPS Mitra Patrang Jember Furqon, Muhammad Ariful; Hidayat, Muhamad Arief; Pandunata, Priza; Zarkasi, Mohammad; Nurdiansyah, Yanuar; Leba, Katarina
Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Vol. 4 No. 1 (2024): Mei 2024 - Abdiformatika: Jurnal Pengabdian Masyarakat Informatika
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/abdiformatika.v4i1.211

Abstract

Pelatihan pemrograman visual menggunakan platform Kodular di SMPS Mitra Patrang Jember bertujuan untuk meningkatkan pemahaman siswa terhadap konsep pemrograman komputer. Metode yang digunakan dalam kegiatan pengabdian ini mencakup: (1) spesifikasi tujuan dan identifikasi masalah; (2) desain pelatihan; (3) implementasi pelatihan; serta (4) evaluasi dan umpan balik. Desain pelatihan yang terstruktur melibatkan partisipasi siswa dalam serangkaian sesi yang mencakup konsep dasar pemrograman visual dan penggunaan platform Kodular. Hasil menunjukkan peningkatan signifikan dalam pemahaman siswa setelah pelatihan, dengan mayoritas menyatakan kepuasan dan minat yang tinggi. Pelatihan ini efektif dalam meningkatkan pemahaman pemrograman visual dan merangsang minat siswa dalam teknologi. Studi ini memberikan kontribusi penting dalam memperluas pemahaman tentang pendekatan pembelajaran inovatif dalam konteks pendidikan sekolah menengah.
Case Based Reasoning for Diagnosing Tuberculosis (TB) Saputri, Yunita Maulida; Nurdiansyah, Yanuar; Pandunata, Priza
Journal of Informatics Development Vol. 4 No. 1 (2025): Oktober 2025
Publisher : Institut Teknologi dan Bisnis Widya Gama Lumajang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30741/jid.v4i1.1759

Abstract

Tuberculosis, often referred to as TB, is a contagious disease caused by the bacterium Mycobacterium tuberculosis. TB primarily affects the lungs but can also affect other organs, a condition known as Extra-pulmonary TB. The disease is transmitted through the air, with the source of transmission being individuals with TB who are Acid-Fast Bacilli (AFB) positive and who sneeze or cough, releasing the bacteria into the air in the form of sputum droplets. TB can affect anyone. This research utilizes the Case- Based Reasoning (CBR) method to aid in the diagnosis of Tuberculosis. The diagnostic process involves inputting or selecting a new case that contains the symptoms to be diagnosed within the system. Then, the system calculates the similarity values between the new case and the cases stored in the case base using the Nearest Neighbor algorithm, normalized with the level of expert confidence. Testing was conducted using 50 cases from the case base and 38 new cases. The results of the system testing, using patient medical records and data obtained from literature studies, with diagnoses validated by experts, demonstrate that the system is capable of identifying 12 types of Tuberculosis with an accuracy rate of 92.3%.
Co-Authors Abd. Rasyid Syamsuri Abul Haris Suryo Negoro Ahmad Dwi Jayanto Ali, Saifur Rifqi Anang Andrianto Ari Puji Astuti Caesarina Kurnia Ananta Didin Erma Indahyani Diksy Media Firmansyah Dwiretno Istiyadi Swasono Eka Putri Agustini Wulandari Fadhel Akhmad Hizham Fatchur Rahman Firmansyah, Diksy Media Furqon, Muhammad Ariful Gama Wisnu Fajarianto Ganefo, Akhmad Hidayat, Muhamad Arief Hizham, Fadhel Akhmad Husyainus Sobri Infantono, Ardian Iron Wardana januar adi putra, januar adi Juniar Priaditama Kusnadi Kusnadi Leba, Katarina Luh Putu Ratna Sundari M Arief Hidayat M Zukhrofi Ardi Madani, Anis Muhammad Ali Sya'roni Muhammad Ali Sya’roni Muhammad Ifantara Putra Nail Pratama Negoro, Abdul Haris Suryo Nuril Ilmi Al Islami Ilmi Al Islami Prehatin Trirahayu Ningrum Priza Pandunata Puspita, Indria Dwi Rahayu, Prehatin Tri Riska Arimanudin Rizka Rohmatul Fitriyah Rizka Rohmatul Fitriyah, Rizka Rudianto S Slamin Saputri, Yunita Maulida Wardani SWW, L. Dyah Purwita Wazirotus Sakinah Yudha Alif Auliya Zarkasi, Mohammad