Article Per Year (5 Year)
p-Index From 2021 - 2026
6.609
P-Index
This Author published in this journals
All Journal JURNAL PROMOSI KESEHATAN INDONESIA SAINS DAN MATEMATIKA Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Indonesian Journal of Applied Statistics Insect (Informatics and Security) : Jurnal Teknik Informatika BAREKENG: Jurnal Ilmu Matematika dan Terapan Dialektika: Jurnal Ekonomi dan Ilmu Sosial JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer Networks, Architecture and High Performance Computing Idealis : Indonesia Journal Information System Bulletin of Computer Science Research Parameter: Journal of Statistics Enthusiastic : International Journal of Applied Statistics and Data Science Brilliance: Research of Artificial Intelligence International Journal Software Engineering and Computer Science (IJSECS) Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Bulletin of Data Science Khazanah: Jurnal Mahasiswa Community Services and Social Work Bulletin Jurnal Ilmiah Ilmu Terapan Universitas Jambi Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Jurnal Sintak Innovative: Journal Of Social Science Research Jurnal Pengabdian Nasional (JPN) Indonesia Dedikasi : Jurnal Pengabdian Lentera Muara: Jurnal Manajemen Pelayaran Nasional Emerging Statistics and Data Science Journal Joong-Ki Indonesian Journal of Statistics and Its Applications
Edy Widodo
UNDIP
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

Published : 76 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 76 Documents
Search

 4   5   6   7   8 
Analisis Komparatif Decision Tree C4.5 dan Neural Network pada Prediksi Kanker Payudara Amali, Amali; Widodo, Edy
Bulletin of Computer Science Research Vol. 4 No. 5 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i5.295

Abstract

Breast cancer is one of the diseases with the highest incidence and mortality rates among women, requiring methods that can support fast and accurate detection. This study aims to compare the performance of the Decision Tree C4.5 and Neural Network algorithms in breast cancer classification using the Breast Cancer Wisconsin dataset obtained from the UCI Machine Learning Repository. The research method adopts the CRISP-DM approach, which includes data collection, preprocessing, model development, testing, and evaluation stages. The preprocessing stage was carried out through data cleaning, data transformation, and data reduction to improve dataset quality before the modeling process. The testing process used split validation and evaluation based on accuracy, precision, recall, and Area Under Curve (AUC) metrics. The results indicate that the Neural Network algorithm achieved better performance than Decision Tree C4.5. Neural Network obtained an accuracy of 96.17%, precision of 95.80%, recall of 96.50%, and an AUC value of 0.989, which is categorized as excellent classification. Meanwhile, Decision Tree C4.5 achieved an accuracy of 93.50% and an AUC value of 0.945, categorized as very good classification. ROC Curve analysis demonstrates that Neural Network is more effective in distinguishing benign and malignant classes. Therefore, Neural Network is recommended as the best model to support early breast cancer detection based on machine learning, while Decision Tree C4.5 remains relevant for conditions requiring simpler and more interpretable models.
Optimalisasi Strategi Penjualan Sparepart Menggunakan Association Rule Berbasis Algoritma Apriori Amali, Amali; Widodo, Edy
Bulletin of Data Science Vol 5 No 2 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletinds.v5i2.9903

Abstract

The development of information technology encourages companies to utilize sales transaction data as a strategic source of information in business decision-making. However, the increasing amount of transaction data is often not optimally utilized to identify consumer purchasing patterns. This study aims to analyze consumer purchasing patterns in spare parts sales transactions using association rules based on the Apriori algorithm to support the optimization of sales strategies and inventory management. The research method used is a quantitative approach consisting of data collection, data preprocessing, transaction data transformation, frequent itemset generation, and association rule formation. The data used in this study consisted of 350 spare parts sales transactions processed using the Apriori algorithm with a minimum support value of 20% and a minimum confidence value of 70%. The results showed that the products Front Bumper and Brake Pads had the strongest association relationship with a confidence value of 76% and support value of 23%. In addition, the relationship between Radiator and Side Mirror products showed a confidence value of 71%. The study proves that the Apriori algorithm is effective in identifying relationships between products and can assist companies in determining promotional strategies, inventory management, and data-driven business decision-making to improve spare parts sales
Implementasi Clustering K-Medoids dalam Pengelompokan Kabupaten di Provinsi Aceh Berdasarkan Faktor yang Mempengaruhi Kemiskinan Hidayat, Freditasari Purwa; Putra, Royhan Pina; Alfitrah, M Dendi; Widodo, Edy
Indonesian Journal of Applied Statistics Vol 5, No 2 (2022)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v5i2.55080

Abstract

The economy is one of the parameters to see how the development of a country. Ending poverty anywhere and in any form is goal 01 of the Sustainable Development Goals (SDGs) program. Until now, poverty has become one of the main problems in Indonesia, so poverty must be a concern of the government. Based on data from the Central Statistics Agency (BPS) shows that as of September 2020 the percentage of poor people in Aceh Province is still the highest on the island of Sumatra, which is 15.43%. The purpose of this study is to classify districts based on factors that affect poverty in Aceh Province. The method used in this study is the K-Medoids Cluster Analysis algorithm. The optimal number of clusters is 2 clusters with cluster 1 consisting of 11 districts and cluster 2 consisting of 12 districts. Cluster 1 has a higher percentage of poor population and poverty depth index than cluster 2, while cluster 2 has higher Gini Ratio, AHH, and RLS values than cluster 1.Keywords : Clusters, Economy, Poverty, SDGs
Pengelompokan Provinsi di Indonesia Berdasarkan Indikator Pekerjaan Layak dengan Menggunakan K-Medoids Clustering Widodo, Edy; Qonita, Shifa; Amalina, Safira Feri; Aoliya, Sifa Nurul
Indonesian Journal of Applied Statistics Vol 8, No 1 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v8i1.97996

Abstract

Pekerjaan layak memainkan peran krusial dalam mengurangi kemiskinan dan menjadi salah satu tujuan utama dalam pembangunan berkelanjutan. Studi ini dilakukan untuk mengkaji berbagai indikator yang berperan dalam menentukan pekerjaan layak di Indonesia dan mengklasifikasikan tingkat kemampuan kerja di 34 provinsi berdasarkan indikator yang terkait dengan sustainable development goals (SDGs), khususnya Tujuan 8 tentang pekerjaan layak dan pertumbuhan ekonomi. Data yang digunakan meliputi indikator-indikator seperti tingkat pengangguran terbuka, proporsi pekerja informal, persentase anak usia 10-17 tahun yang bekerja, perusahaan yang menerapkan norma K3, dan persentase pemuda usia 15–24 tahun yang saat ini tidak terdaftar dalam pendidikan, pekerjaan, atau pelatihan (NEET). Teknik analisis yang digunakan adalah metode principal component analysis (PCA) dan metode k-medoids clustering. Berdasarkan analisis PCA, diperoleh 2 faktor utama, yaitu faktor kesejahteraan dan ketenagakerjaan serta faktor pengangguran dan keselamatan kerja. Secara bersama-sama, kedua faktor ini menyumbang 73,9516% dari keseluruhan varians dalam data. Analisis cluster dilakukan dengan menggunakan 2 faktor utama ini. Berdasarkan analisis pengelompokan menggunakan metode k-medoids, dihasilkan 3 cluster. Cluster 1 yang terdiri dari 20 provinsi merupakan wilayah dengan indikator pekerjaan layak yang moderat, cluster 2 yang terdiri dari 5 provinsi merupakan wilayah dengan indikator pekerjaan layak yang tinggi, dan cluster 3 yang terdiri dari 9 provinsi merupakan wilayah dengan indikator pekerjaan layak yang tinggi.Kata kunci: Pekerjaan layak; sustainable development goals (SDGs); k-medoids; principal component analysis (PCA).Decent work plays a crucial role in reducing poverty and serves as one of the key objectives in sustainable development. This study was conducted to examine various indicators that play a role in determining decent work in Indonesia and to classify the level of workability in 34 provinces based on indicators related to Sustainable Development Goals (SDGs), particularly Goal 8 on decent work and economic growth. The data used includes indicators such as the open unemployment rate, proportion of informal workers, percentage of children aged 10-17 years who work, companies that apply OSH norms, and the percentage of youth aged 15–24 who are not currently enrolled in education, work, or training (NEET). The analysis techniques used are Principal Component Analysis (PCA) method and K-Medoids Clustering method. Based on PCA analysis, 2 main factors were obtained, namely the welfare and employment factor and the unemployment and job safety factor. Together, these two factors account for 73.9516% of the overall variance in the data. Cluster analysis was conducted using these 2 main factors. Based on clustering analysis using the K-Medoids method, 3 clusters were generated. Cluster 1 consisting of 20 provinces is a region with moderate decent work indicators, cluster 2 consisting of 5 provinces is a region with high decent work indicators, and cluster 3 consisting of 9 provinces is a region with high decent work indicators.Keywords: decent work; sustainable development goals (SDGs); k-medoids; principal component analysis (PCA).
Upaya Penegakan Emansipasi Wanita melalui Optimalisasi Pembangunan Gender dengan Metode Regresi Panel Phalufi, Inu Alifiyah; Alya Hartarie, Raden Nabila; Novitriani, Ellena; Widodo, Edy
Indonesian Journal of Applied Statistics Vol 5, No 2 (2022)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v5i2.58034

Abstract

The role of women nowadays is no different from the men, only to a reasonable extent. The role of women's emancipation itself has been upheld in Indonesia, as those who will be the spearheads in family education for their children that must have broad skills and insights. The Human Development Index (HDI) is mostly becoming an important index as a measurement of the success level in quality of human life (community) building efforts. By conducting an analysis using the panel regression method in the Regency / City of West Sulawesi (as a province in Indonesia that has the 4th lowest HDI score) to find out how much women's participation can affect the level of quality of life in Indonesia and as an evaluation of which components must be improved by government for the next period in the welfare of its people. This analysis concludes that the Mamuju regency is known as the region that contributes the largest weight to the increase in GDI while the Pasangkayu regency contributes the lowest weight to the increase in GDI so that the government should make the development of supporting facilities for community welfare more equitable.Keywords : GDI, Woman Emancipation, Panel Regression
Pengelompokan Kabupaten/Kota di Provinsi Jawa Barat Berdasarkan Dampak Kerusakan Bencana Banjir Menggunakan K-Medoids Gustiara, Dela; Mulyaningsih, Anisa Dwi; Anadra, Rahmi; Widodo, Edy
Indonesian Journal of Applied Statistics Vol 5, No 2 (2022)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v5i2.65668

Abstract

The territory of Indonesia is located in geographical, geological, hydrological, and demographic conditions that allow Indonesia to be prone to disasters. The most common natural disaster in Indonesia is flooding. If accumulated, there have been 682 flood events in the country since the beginning of 2022. In Indonesia, especially West Java Province, flooding is the most common disaster, especially during the rainy season. So a study will be conducted that aims to determine the grouping of districts / cities in West Java Province based on the occurrence of flood disasters. The data used in this study were obtained from the publication of the National Disaster Management Agency. In this study, there are 4 variables of the impact of flood disasters, namely total deaths, total submerged houses, total damaged houses and total injured. The clustering method used in this research is K-Medoids. K-Medoids is one of the clustering methods that uses the partition clustering method in grouping a set of n objects into a number of k clusters. From the results of the K-Medoids analysis, three clusters were obtained. The first cluster consists of 3 districts/cities with high impact of flood disasters, the second cluster consists of 23 districts/cities with moderate impact of flood disasters, and the third cluster consists of 1 district/city with low impact of flood disasters. Based on the results of the analysis, efforts can be made by the government to focus more on designing steps that must be taken in preventing or overcoming the impact of flood disasters.Keywords: Cluster; K-Medoids; Floods West Java
Co-Authors Abdul Aziz, Hilmy Abdul Halim Anshor Abidah Nur Anisah, Hergina Achmad Isya Alfassa Afnan, Irsyifa Mayzela Agustin, Widya Saputri Akbar, Purnama Akhsan, Salafudin Al Al Farizi, Danial AL-Azkia, Muhammad Wildan Alfiah, Febiyanti Alfitrah, M Dendi Aliamsyah, Moh. Almadayani, Almadayani Alya Hartarie, Raden Nabila Amali, Amali Amalina, Safira Feri Amna, Faiz Mustafid Anadra, Rahmi Andani, Febria Pradita Prima Andini, Wiranti Nugrah Andri Firmansyah Anekawati, Fitri Anggreany, Anggun Nur Aoliya, Sifa Nurul ARDIANSYAH, FAISAL Arfian, A Arief Hadi Prasetyo, Arief Hadi Ariyani, Dwi Faridha Asyiah, Noor Asyiah, Rizkiana Avitariella, A Ayu Wardani, Dheandra Ayuningtyas, Rachel Aziza, Himelda Bahtiar, Reza Yusuf Bariklana, Muhammad Basalamah, Salsabila Budiarto, Eko Choerunnisa, Riza Amelia Cusanti, Cusanti Desmitasari, Rosi Dewati, Nabila Ratna Dewayanti, Arlinda Amalia Dewi Trisnawati Dewi, Diana Kusuma Dewi, Harni Selasih Dewi, Rosiana Rahma DHANI ARIATMANTO Diba, Sheila Farah Dodit Ardiatma Dzakiroh, Alliyah Fadlurrohman, Muhammad Shiddiq Febriana, Ella Tasia Febriyanti, Syintya Ferdiansyah, Febby Fikri, Bana Ali Fikry, Muhammad Dirga Ghaisani, Salwa Yudanti Gustiara, Dela Haifa, Hanadia Hamid, Yudhistira Hasanah, Insani Hendri, Martius Hermawan, Rachmat Hidayat, Freditasari Purwa Hidayati, Irina Hijriyany, Meyla Hikmawan, Dimas Wahyu Hitayuwana, Nurul Huda, Tri Atmaja Ilma, Hafizah Iriani, Lathifa Aurellia Ismayani, Indrianti Jati, Wahyu Pratama Jennifer, Dwirany Puspitasari Junita, Tarisya Permata Kashi, Rahma Yuliati Khaeriyah, Rakhil Khaerunnisa, Muthia Khusna, Zulfa Aulia Kurnia Ramadhani, Kurnia Kusuma, Tihat Jaya Laksono, Arif Anjang Lathifah, Lailla Nur Latifah, Evi Fitria Umi Latupono, Boki Lestari, Indri Fauzi Lestari, Ninik Kardinah Lutfi, Ahmad Zainul Majid, Annisa Maulana Manthovani, Andi Nurhanna Mardiyah, Meiga Isyatan Mardiyyah, Safwah Ayu Masthura, M Maulana, Donny Maulidaniar, Aulia Nurul Maulidya, Rizka Putri Maulina, Gina Meimunah, M Mu'minin, Aisyah Ummi Muhammad Rifa'i, Anggi Muhammad, Juliana Saputra Muhammad, Shodiq Muhtajuddin Danny Muinah, Ummi Maftuhatul Muktiwijaya, Aldi Wilaga Mulyaningsih, Anisa Dwi Mutia, Sani Nalurita, Wening Nawangsih, Ismasari Nilam Novita Sari Ningrum, Noorzahrah Cintya Nisa, Annida Jahratun Novianti, Afdelia Novitriani, Ellena Novyantika, Rizky Dwi Nowi, Nurul Aulia Nur Edma, Syifa’ul Mufidati Nur Hidayah Nur Hikmah Nurfalah, Meylinda Dwi Nurhikmat, Triano Nurinayah, N Panggol, Sri Arista Papua, Oceano Alpheratza Permatasari, Erika Putri Permatasari, Retno Pertiwi, Riezki Phalufi, Inu Alifiyah Pinasty, Salsabila Pradana, Sendhyka Cakra Pradana, Wahyu Aji Prasetyo, Adwi Guntur Prasetyo, Bagas Dwi Prawesti, Inna Prayoga, Dimas Prianda, Bayu Galih Pupung Purnamasari Purwanto Purwanto Putra, Royhan Pina Putri, Ananda Desilia Putri, Naomighina Putri, Rahayu Kia Sandi Cahaya Putri, Selvina Sela Annisa Putri, Wafiq Rahma Aulia Putri, Zarmeila Qonita, Rosyada Laili Qonita, Shifa Rachmania Mulkiyah, Ananda Raharjo, Alifian Wahyu Rahmawan, Afandi Ahmad Rakhmalia, Riza Indriani Ramdhanti, Tiara Ratri Astuti, Morti Refgina, Refgina Rini, Halimah Setio Safira, Aulia Safitrah, Ilham Saputra, Johan Saputri, Bening Saraswasti, Lidya Palupi Sari, Cindy Fatika Sari, Rima Juridar Usfita Sartika, Indang Satria Permana, Muhammad Safri Septian, Yayan Dwi Serdawati, Septi Shiddiq, Yazid Mumtaz Simanjuntak, Antonius Soesmono, Salma Sri Utami Sriwiji, Rina Subangkit, Andreas Sulhaerati, S Suriyani, Ade Irma Suwandi Suwandi Tantowi, Raihan Tanza, Alifia Tectona, Zakiy Suryahadi Tria Anggraini, Devita Turmudi Zy, Ahmad Tusyakdiah, Halima Ulinnuha, Muhammad Utama, Rafi Ilmi Badri Utami, Pertiwi Bekti V.R, Baiq Jasmin Sabhira Safwa Wahyu Hadikristanto Wicaksono, Bima Yudha Widi, Tegar Anugrah Widiawati, Ika Fitia Wijayanto, Feri Wirdaniyati, Sri Siska Wiyanto - Yadin, Muhammad Atma Yahya, Adiba Yuan Badrianto Yubinas, Febritista Yumna, Pradipa Arka Yuniarti, Mazna Yusnandar, Y Zahra , Qolbiyatus Syifa Az