Article Per Year (5 Year)
p-Index From 2021 - 2026
4.426
P-Index
This Author published in this journals
All Journal Jurnal Rekayasa Mesin Jurnal Kesehatan Vokasional Jurnal SOLMA BAREKENG: Jurnal Ilmu Matematika dan Terapan ComTech: Computer, Mathematics and Engineering Applications Vygotsky: Jurnal Pendidikan Matematika dan Matematika Inferensi Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Statistika dan Aplikasinya ABIDUMASY : Jurnal Pengabdian kepada Masyarakat Indonesian Collaboration Journal of Community Services (ICJCS) J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat)
Denny Nurdiansyah
Statistics Study Program, Faculty Of Science And Technology, Universitas Nadlatul Ulama Sunan Giri, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

Published : 29 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : ComTech: Computer, Mathematics and Engineering Applications

 1 
Implementation of Clustering and Association for Early Warning of Disasters in Bojonegoro Regency Nurdiansyah, Denny; Hayati, Erna; Purnamasari, Ika; Hidayanti, Anna Apriana; Rahayu, Yuliana Fuji
ComTech: Computer, Mathematics and Engineering Applications Vol. 15 No. 2 (2024): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v15i2.11933

Abstract

The research aimed to analyze the relationships between different types of disasters, assess the likelihood of disaster occurrences, and enhance knowledge and understanding of disaster patterns in Bojonegoro Regency. The goal was to enable better disaster prediction and preparedness in the future. The methods applied included mapping, clustering using the K-means algorithm, and association rule mining with the Apriori algorithm. Secondary data were obtained from the National Disaster Management Agency and the Bojonegoro Regency Regional Disaster Management Agency Office, covering eight types of disasters. The results reveal that the K-means model groups the data into 5 clusters from 28 sub-districts in Bojonegoro. There are 13 sub-districts in Cluster 0, 1 sub-district in Cluster 1, 4 sub-districts in Cluster 2, 6 sub-districts in Cluster 3, and 4 sub-districts in Cluster 4. The association rule analysis produces four association rules using a minimum support of 10% and a minimum confidence of 50%. The findings highlight that the Ngasem and Bojonegoro sub-districts require more focused disaster management. The fourth association rule has the highest confidence level at 78.79%, indicating that forest and land fires are likely to follow when drought occurs. The research implies that it can support more targeted disaster management focusing on high-risk sub-districts such as Ngasem and Bojonegoro. The originality of the research lies in its novel application of clustering and association rules to analyze disaster patterns in the region, with implications for more targeted disaster mitigation strategies.
Implementation of Decision Tree with Best Subset Approach to Identify Suicide Cases in Central and East Java Choiri, Moh. Miftahul; Nurdiansyah, Denny; Rokhim, Auliyaur; Patmawati, Pebriana Putri; Pebriani, Putri Vatria
ComTech: Computer, Mathematics and Engineering Applications Vol. 16 No. 1 (2025): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v16i1.12265

Abstract

The research was conducted to determine the descriptive statistics of suicide cases and classify suicide cases based on the attributes of victims who made suicide attempts. The research design used was a quantitative method in the form of exploratory research using the Decision Tree method. The research novelty was applying the Decision Tree method with the Best Subset approach. The research data sources were obtained from online mass media news such as DetikJatim and DetikJateng for suicide attempt cases from January 2022 to July 2024. The research finds significant differences in the number of suicide attempts in East Java and Central Java, with Surabaya, Malang, Blitar, Semarang, and Klaten recording higher numbers. The findings show that males more often attempt suicide, while females more often experience failed attempts. Young adults (20−39 years) record the highest rate, and hanging is the most common method. Unknown mental disorders and depression are the main risk factors, with many attempts occurring without rescue. The implication is that improving emergency response systems and mental health services is essential. The research recommends strengthening mental health and social support for older adults and those under stress. Then, enhancing rapid rescue efforts with comprehensive psychological interventions is essential for suicide prevention. The originality of the research lies in the use of a Decision Tree with the Best Subset approach to identify suicide patterns based on risk factors and methods used.
Co-Authors Agus Sulistiawan Agus Sulistiawan Alfiansyah, Achmad Thoriq Habib Anisa, Firda Anna Apriana Hidayanti Aziz, Su’udin Dinda Ayu Aprilia Elsa Maulida Safitri Emilia Fatmawati Erna Hayati, Erna Fadhilatun Ni’mah Habibah Zulfana Lailiyah Habibullah, M. Noor Hidayatul Fitriyah Ika Purnamasari Kartini, Alif Yuanita Khiorul Wafa Khoirina, Jami’atul Khoirul Wafa Koniva, Deskia Dwi Nur Kusniar, Niken Nadif Ulfiya Labiba Kusna, Siti Lathifah, Nur Aisyatul Levia, Zachdyna Aurelya Lilis Dwi Agustin M. Ridlwan Hambali Miftakhul Khasanah Mochamad Nizar Palefi Ma’ady Moh. Miftahul Choiri Muhammad Jauharul Fawaiq Muhammad Maftuchin Muhammad Shofiyudin Mula Agung Barata Mutiani, Tia Nailil Muna Nasirudin, M. Nita Cahyani Novitasari, Diah Ayu Novitasari, Diah Ayu Oktafiya, Dewi Putri Nur Patmawati, Pebriana Putri Pebriani, Putri Vatria Putri Utami, Putri Rahayu, Yuliana Fuji Rahman, Rifqi Maulana Ridho, Sari Lestari Zainal Ririn Fauziyah Rohmawati, Siti Rokhim, Auliyaur Saidah, Saniyatus Siti Marfuah, Siti Sukmawaty, Yuana Suwandi, Edi Syarif Husen Utomo, Muchammad Chandra Cahyo Wijayanti, Lulud Yuliana, Ummi Agustin Zainul Abidin