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All Journal DEDIKASI JURNAL MAHASISWA Jurnal Online Mahasiswa (JOM) Bidang Perikanan dan Ilmu Kelautan Journal of Industrial Engineering Management Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Jurnal Riset Informatika JURNAL MANAJEMEN PENDIDIKAN ISLAM AL-IDARAH Jurnal Rupa Jurnal ICT : Information Communication & Technology Grouper: Jurnal Ilmiah Perikanan Jurnal Visual JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Lex Suprema Jurnal Nasional Teknologi Komputer Jurnal Riset Akuntansi Jurnal Ilmiah Dan Karya Mahasiswa Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat APPA : Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat dan Riset Pendidikan International Journal of Applied Mathematics and Computing. International Journal of Computer Technology and Science International Journal of Information Engineering and Science Public Health And Medicine Journal (PAMA) Aktivitas Jurnal Ilmiah Akuntansi Journal of Engineering, Electrical and Informatics
Tri Wahyudi
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Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Transportation Veterinary Other

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Data Mining Classification in The New Student Admission Process Using The K-Nearest Neighbors Method : Case Study: Yapmi Boarding School Veri Arinal; Tri Wahyudi; Mesra Betty Yel; Nurul Khoiriyah
International Journal of Applied Mathematics and Computing Vol. 1 No. 4 (2024): October: International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v1i4.111

Abstract

The new student admission process is an important activity in educational institutions to ensure that prospective students meet the established admission criteria. However, the selection process is often conducted manually, making it less efficient and prone to subjective assessments. This study aims to implement a data mining classification approach using the K-Nearest Neighbors (K-NN) method to support decision-making in the new student admission process at Yapmi Boarding School. The research utilizes historical admission data consisting of academic scores, interview results, and other admission criteria as classification attributes. The K-NN algorithm was applied to classify prospective students into accepted and rejected categories based on the similarity of their characteristics to previously evaluated applicants. The research methodology includes data collection, preprocessing, classification modeling, and performance evaluation using accuracy metrics. The results demonstrate that the K-NN method is capable of classifying prospective students effectively and can assist admission committees in making more objective and accurate decisions. The implementation of this model contributes to improving the efficiency, consistency, and reliability of the student admission process at Yapmi Boarding School. Therefore, the K-NN algorithm can be considered a viable alternative for supporting educational admission decision systems.
Sentiment Analysis of the Trending Topic #Indonesiagelap on X Using a Naive Bayes Algorithm Based on Particle Swarm Optimization Untung Surapati; Veri Arinal; Tri Wahyudi; Ahmad Fauzan
International Journal of Applied Mathematics and Computing Vol. 2 No. 2 (2025): April: International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v2i2.127

Abstract

The rise of social media has created a digital public sphere that enables users to express their opinions on social and political issues openly and in real-time. One of the most discussed topics on social media platform X is the trending hashtag #IndonesiaGelap, which reflects public concern and criticism regarding various governmental and societal conditions. This study aims to conduct sentiment analysis on tweets containing the hashtag to determine the overall sentiment trend among users. The method employed in this research is the Naive Bayes classification algorithm, known for its simplicity and effectiveness in text classification. To enhance the model’s performance, Particle Swarm Optimization (PSO) is applied to optimize feature selection and parameter tuning. The dataset consists of public tweets collected via the Twitter API, followed by preprocessing, feature extraction using TF-IDF, and sentiment classification into three categories: positive, negative, and neutral. The results indicate that the integration of PSO significantly improves the classification accuracy of the Naive Bayes model compared to the baseline. The majority of tweets related to #IndonesiaGelap exhibit a negative sentiment, indicating widespread public dissatisfaction and criticism. This research is expected to contribute to a better understanding of public perception and serve as valuable input for stakeholders in addressing social issues in the digital age.
The Emergence of Orange Bonds as a Sustainable Financing Instrument: A Scoping Review and Future Research Needs Fiesty Utami; Refi Pratiwi; Tri Wahyudi
Jurnal Riset Akuntansi Vol. 4 No. 3 (2026): August: Jurnal Riset Akuntansi
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jura-itb.v4i3.4153

Abstract

Orange bonds are sustainable bond instruments which the funds are specifically used to finance gender equality, climate action, women's empowerment, and other social inclusion programs. This research uses the scoping review method, with the aim of systematically mapping the emergence of orange bonds and gender-responsive sustainable finance, as well as identifying publication trends, methodological approaches, research themes, and existing gaps. Searches were carried out on Web of Science, Scopus, Business Source Complete, JSTOR, and Google Scholar databases following the PRISMA-ScR protocol. Based on 2,847 initial records, 300 researches met the inclusion criteria. The research results show that although the sustainable finance literatures are expanding rapidly at 55% per year, there are only 12 studies that specifically addressed orange bonds. The most of research is quantitative econometric methods (47%), and is concentrated in East Asia (28%) and Europe (34%), while developing nations are underrepresented (<20%). Gender integration only appeared in 15% of the studies. This large research gap limits market and policy development. Based on this, the expansion of research, the development of standardized gender impact metrics, and policy harmonization to support orange bonds as a catalyst for sustainable development are absolutely necessary.
Co-Authors Achmad Farid Adia Lestari Aditya Bagas Pramudhi Ahmad Fauzan Ahmad Indra Harahap Akbar, Yuma Aldo Amanullah Ali Jamaludin Any Sawheri Gading Arbansyah Arbansyah Arinal, Veri Asmika Harnalin Simarmata Aulia Khofifah Syamsuri Betty Yel, Mesra Dadang Iskandar Mulyana` Dedi Gunawan Delicia Delicia, Delicia Della Anggun Yuniasari Deni Saeful Rizal Dian Ekawaty Dona Wahyuning Laily Dwi Swasono Rachmad Elviwani Elviwani Endah Sih Prihatini Fachrur Rozi Farid Wajdi Ferdi Iwanda Fiesty Utami Fitriani Fitri Ghofurur Nawangsah Gunawan Budi Sulistyo Hamada Zein Hj. Afriyana Amelia Nuryadin I Gusti Bagus Wiksuana Ilhan Firanda Ivan Pradana Iwan Giri Waluyo Joko Priambodo Joni Saputra Jordi Bernard Siburian Kharisma Idola Arga Khusnul Khotimah Muhamad Wahyu Tirta Muhammad Anshori Fahmi Muhammad Ashori Fahmi Muhammad Bintang Pamungkas Muhammad Galang Muhammad Joko Umbaran Muhammad Khalid Muhammad Khumaidi Nursyarif Muhammad Sukirlan Muntalim Muntalim Nandang Munandar Nani Purwati Noor Hasan Nurul Khoiriyah Pertiwi, Ratih Prisma Dwicahyo Putra Rizky PUTRI ANGGRAENI Rafa Nursyahela Rahmahwati, Ratih Ramlan Ginting Suka Rasiban Rasiban Ratih Rahmawati Refi Pratiwi Renaldo Wijaya Reza Fadillah Rofik Rofik Silvia Uslianti Silvia Uslianti Siti Muawwanah Siti Patimah Sugiyono Sugiyono Sutisna Sutisna Tengku Dahril, Tengku Tri Wahyuni Untung Surapati Yuyun Putri Lestari