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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%.
The Influence of Digital Leadership, Knowledge Management Capability and Innovation Climate on Digital Innovation Capability in Digital-Based MSMEs Afiat, Dominica Dini; Setiono, Agus; Putranto, Samuel Aditya Eko; Sugiarti; Setyawasih, Rianti; Nurdiansyah, Yanuar
Journal of Information System, Technology and Engineering Vol. 4 No. 1 (2026): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v4i1.285

Abstract

The digital economic transformation needs digital MSMEs to create sustainable innovation capabilities which will help them succeed in their business competition. The study investigates how digital leadership and knowledge management capability together with innovation climate evaluation affect the digital innovation capacity of digital-based MSMEs. The researchers executed their research through a quantitative research method which used an explanatory research design for their study. The study collected data by surveying digital-based MSME owners and managers who participated through purposive sampling. The researchers used multiple linear regression to analyze the data after completing validity and reliability testing and classical assumption testing. The research established that digital leadership and knowledge management capability with innovation climate create a positive connection which improves digital innovation capacity. Digital leadership functions as an organizational power that propels digital transformation while knowledge management capability allows organizations to gather new information and apply their existing knowledge and innovation climate establishes a workspace that fosters innovation activities. The research findings offer MSME managers strategic guidance which helps them create policies that enable sustainable technology-based innovation.
Penentuan Prioritas Pengerjaan Servis Telepon Seluler Menggunakan Metode Simple Additive Weighting baihaqy, Achmad Rijal; Nurdiansyah, Yanuar; Hidayat, Muhammad Arief
Jurnal Informatika Komputer, Bisnis dan Manajemen Vol 20 No 2 (2022): Mei 2022
Publisher : LPPM STMIK El Rahma Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61805/fahma.v20i2.32

Abstract

Pwnggunaan telepon seluler terkadang kita dapat tidak sengaja merusaknya. Kita dapat dapat memperbaiki atau membeli yelepon seluler baru. Telepon seluler dapat diperbaiki di gerai dari merek telepon seluler tersebut atau gerai-gerai kecil yang dapat meperbaikinya. Jika memilih gerai yang meperbaiki telepon seluler, kemungkinan akan terdapat antrean dari telepon seluler pelanggan lain. Kita bisa juga menunggu lagi jika suku cadang masih kosong. Untuk menyelesaikan permasalahan tersebut, dibuatlah Sistem Pendukung Keputusan. Menggunakan metode Simple Additive Weighting yang dapat digunakan untuk menentukan prioritas pengerjaan telepon seluler. Penerapan Simple Additive Weighting menggunakan tiga kriteria dengan bobotnya untuk menentukan prioritas pengerjaan telepon seluler. Tiga kriteria tersebut adalah 1)hari setelah masuk antrean, 2)tingkat kerusakan, dan 3)adanya suku cadang. Dengan adanya sistem, pengguna dapat menentukan prioritas pengerjaan telepon seluler yang dzapat dikerjakan pertama.
The Influence of Website Usability, Social Media Engagement, and Omnichannel Integration on the Digital Customer Experience of Online Retail Hendratni, Tyahya Whisnu; Hamdany, Mohammad Azharie; Nawangwulan, Irma M; Anantadjaya, Samuel PD; Nurdiansyah, Yanuar; Violin, Vivid
Journal of Current Research In Multidisciplinary Vol. 4 No. 1 (2026): JCRIM (Journal of Current Research In Multidisciplinary)
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The research study investigates the impact of three factors which are Website Usability Social Media Engagement and Omnichannel Integration on Digital Customer Experience in online retail websites. The study used a quantitative approach with a survey method by distributing questionnaires to 200 active online retail consumers selected using a purposive sampling technique. The research required respondents to meet three requirements which included making two online purchases within the previous six months and using social media platforms and accessing multiple digital channels from different companies. The research team used multiple linear regression analysis to process the collected data. The data underwent testing before the analysis process through validity testing and reliability testing and classical assumption testing which included assessments of normal distribution and testing for heteroscedasticity and multicollinearity. The study proved that Website Usability together with Social Media Engagement and Omnichannel Integration created a positive relationship which reached a statistically significant impact on Digital Customer Experience. The results demonstrate that three factors which include website usability and social media customer engagement and cross-channel service integration show a strong impact on digital customer experience in online retail stores.
From Training and Motivation to Entrepreneurial Intention: Unpacking the Role of Educational Mediation in University Entrepreneurship Putrianti, Flora Grace; Nurdiansyah, Yanuar; Wisnu Ardhi, Ovide Decroly
Indonesian Journal of Business and Entrepreneurship Research Vol. 3 No. 2 (2025): Vol. 3, No. 2, May 2025: Indonesian Journal of Business and Entrepreneurship Re
Publisher : Department of Business and Entrepreneurship, Faculty of Economics and Business, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Unemployment remains a major challenge in Indonesia, primarily due to the country’s high population growth rate, which intensifies competition in the job market. One effective strategy to address this issue is by increasing the number of entrepreneurs. This study aims to examine the direct and indirect effects of entrepreneurship training, motivation, and entrepreneurial environment on students’ entrepreneurial intention, with entrepreneurship education serving as a mediating variable. A quantitative approach with a descriptive explanatory design was employed, involving a population of 492 students. A sample of 103 students from the Faculty of Economics and Business, Universitas Negeri Makassar, was selected using proportional random sampling. Data analysis reveals that entrepreneurship training, motivation, and the entrepreneurial environment significantly influence entrepreneurial intention both directly and indirectly through entrepreneurship education. The findings highlight the importance of structured entrepreneurial education as a pathway to strengthen students' business skills and intentions. These insights can serve as valuable input for educators in guiding students not only in product development but also in marketing, business evaluation, and strategic growth. Future research is encouraged to expand the scope by incorporating additional variables and diverse methodological approaches.