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Journal : Technomedia Journal

Penerapan Algoritma K-Means Clustering Dalam Pengelompokkan Kepadatan Penduduk: Application of K-Means Clustering Algorithm in Population Density Grouping Delia, Fenita; Rasmita Ngemba, Hajra; Hendra, Syaiful; Syahrullah, Syahrullah; Trezandy Lapatta, Nouval
Technomedia Journal Vol 9 No 3 (2025): February
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v9i3.2270

Abstract

Uneven population density will have a negative impact if not considered. One way to tackle this problem is with population equity management planning policies. This research focuses on clustering population density areas, which is the ratio between population and area in Central Sulawesi Province. This research clustering is applied with data mining techniques, namely K-Means Clustering. The research stages are data collection, data understanding, data processing, clustering, clustering review, dashboard analysis, and accuracy testing with the tableau application in providing visualization of population density in the region. Based on the results of the algorithm calculation, it produces three clusters, cluster 0 being low population density, cluster 1 being high population density, and cluster 2 being medium population density. Cluster formation is based on the visualization produced by the research dataset through Sum Of Square Error analysis, silhouette coefficient, and elbow method. Clustering is formed, followed by dashboard visualization with the tableau application. The clustering results, based on the SSE calculation, produce a value of 4324505738.747303, meaning the determination of the number of clusters with a significant difference with the calculation of the number of previous groupings. Then the results of the silhouette analysis provide the highest average silhouette value at the number of clusters, namely 3 with a value of 0.6144435666457168, and the elbow method gives the result that the elbow point is at point 3, meaning the optimum number of clusters with 3 clusters.
Pemodelan Arsitektur Enterprise Menggunakan Standar Togaf di SPBE Kabupaten Parigi Moutong: Enterprise Architecture Modeling Using Togaf Standards at SPBE Parigi Moutong Regency Pramadinda, Alda Nur; Dwiwijaya, Kadek Agus; Syahrullah, Syahrullah; Lamasitudju, Chairunnisa Ar.; Pusadan, Yazdi
Technomedia Journal Vol 10 No 1 (2025): June
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v10i1.2262

Abstract

The rapid advancement of technology has raised public expectations for easy access to government services and information. In response, the Parigi Moutong District Government has implemented the Electronic-Based Government System (SPBE) with an SPBE index of 2.68, indicating that the system has been well implemented. This study employs the Enterprise Architecture (EA)methodology, based on the TOGAF ADM, with a focus on the infrastructure domain to enhance efficiency, security, and integration within SPBE. The study involves the stages of preparation, data collection, analysis, design, finalization, and validation. The identified gap is that, despite the successful implementation of SPBE, the integration of modern technologies such as AI and blockchain to strengthen security and efficiency has not yet been fully optimized. The novelty of this research lies in the integration of advanced technologies in the Enterprise Architecture blueprint for SPBE, as well as the implementation of pilot testing to evaluate the alignment of the application with real-world conditions. The research aims to develop a comprehensive blueprint offering infrastructure improvement solutions for the Parigi Moutong District Government. The results show that TOGAF ADM successfully improves system integration, bureaucratic efficiency, and public service quality. The conclusion emphasizes the importance of adjusting technology to suit local conditions and needs when applying it to other regions.  
Implementation of Brute Force Algorithm for Digital Land Mapping Information System: Implementasi Algoritma Brute Force untuk Sistem Informasi Pemetaan Tanah Digital Irfan, Mohamad; Ngemba, Hajra Rasmita; Hendra, Syaiful; Syahrullah, Syahrullah; Lapatta, Nouval Trezand; Hamid, Odai Amer
Technomedia Journal Vol 10 No 1 (2025): June
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v10i1.2271

Abstract

The Land Asset Mapping Information System of the Palu City Local Government was developed to streamline digital land record management and enhance public service delivery. However, users experience substantial delays averaging 3-5 minutes per query during manual data searches. This study aims to optimize search efficiency by implementing the Brute force string-matching algorithm, allowing users to retrieve precise land records through direct pattern input. A waterfall system development methodology was systematically applied across five phases: requirements analysis, system design, PHP/JavaScript implementation, White Box testing, and maintenance. The research team collaborated closely with 12 technical officers from the City Spatial Planning and Land Office to validate system requirements and evaluate real-world performance. The implementation of the Brute force algorithm reduced average search times by 68\% (from 185s to 59s) while maintaining 100\% accuracy in test datasets containing 5,000+ land records. Rigorous testing confirmed the algorithm's reliability across various edge cases, including partial matches and special character inputs. The application of the Brute force method has transformed the system's search functionality, particularly for frequent queries involving land parcel IDs and owner names. These improvements have increased daily processing capacity by 40\%, significantly benefiting urban planning and dispute resolution workflows. While demonstrating excellent performance for medium-sized datasets, the solution presents opportunities for future enhancement through hybrid approaches combining Brute force with indexing techniques for large-scale deployments beyond 50,000 records.
Co-Authors Abdul Hadi Abdul Mahatir Najar Abdurrohman, Firman Muhammad Afiah, Nurul Anggun Afwah, Raden Agustinus Kali Aji Saputra, Andi Albania, Faradiva Andi Hendra Anita Ahmad Kasim Ardiyansyah, Rizka Arskal Salim Aswat, Fajar Atmowidjoyo, Sutardjo Bagaskara, Febrian Chrissma Baso Mukhlis Chairunnisa Ar. Lamasitudju Chandra, Ferri Rama Darman, Guna Dede Rosyada Deden Edi Delia, Fenita Deny Wiria Nugraha Dessy Santi Devilito Prasetyo Tatipang Dharmakirti, Dharmakirti Dwi Shinta Angreni Dwimanhendra, Muhammad Rifaldi Dwiwijaya, Kadek Agus Edi, Deden Eva Nugraha Fadlilah, Dina Rahma Fahmi, Moh. Faisal Faisal Fajar Harguna Endra Putra Faldiansyah, Faldiansyah Fatima, St. Nur Aima Filhaq, Raghib Hajra Rasmita Ngemba Hakim, Ibrahim Hamid, Odai Amer Hardjadinata, Hardjadinata Hastuti, Saptiyani Heru Budi Santoso Ihwan, Abib Raifmuaffah Iman Santoso Indrajaya, Muhammad Aristo Irsyadiah, Nur Irwan Irwan Irwan, Anas Jamal, Nur Jannah, Aulia Raudhatul Kartika, Rina Kasaedja, Tafania Natalia Kasim, Erni Kasmar, Kasmar Khasanah, Siti Uswatun Kunaenih, Kunaenih Laila, Rahma Lakatjinda, Adiatma Lamasitudju, Chairunnisa Luthfi, Atabik Magfirah, Magfirah Maharani, Wulan Mahdi Mahdi, Mahdi Maulidyani Abu Mohamad Irfan, Mohamad Mohammad Yazdi Pusadan Muhammad Afif Muhammad Muhammad Muhammad Rizka, Muhammad Murmayani Mustika, Muhammad Fery Mutiara Sari Nahuda, Nahuda Nasrullah Nasrullah Nouval Trezandy Lapatta Noviantika, Noviantika Nuari, Feby Nabiilah Nur Husnil Khatimah Nur Khasanah Nurwijayanti, Karina Prakoso, Dicky Dwi Pramadinda, Alda Nur Priska, Salsa Dilah Pusadan, Yazdi Putra, Fajar Harguna Endra Putu Wahyu Sudewi Rabbani, Pasya Nuron Rahmah Laila Rasmita Ngemba, Hajra Rasmita, Hajra Ratnandari, Luluk Dwi Resnawati Rifki, Moh Rinianty, Rinianty Rizaldi, Andi Risfan Rizka Ardiansyah Ryfial Azhar, Ryfial Sani, Ilham Abdillah Sanusi, Gufran Saputra, Soni Adi Sau, Tenri Septiano Anggun Pratama Siti Khairunnisa, Siti Sukardi Weda, Sukardi Sulaeman, Maryam Syaiful Hendra Syairozi, Ishak Syarif Firmansyah Syarifuddin Dollah Tenri Sau Triasni, Aprilia Utami, Shanty Riza Wahyuni, Asti Wawagalang, A. Nolly Sandra Widiani, Ni Nengah Wijaya, Padma Wildan Imaduddin Muhammad, Wildan Imaduddin Wirdayanti Wongkar, Noel Marcell Jonathan Yanti, Wirda Yayan Sopyan Yuri Yudhaswana Joefrie Yusuf Anshori Zulkifli Zulkifli