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All Journal JUSIFO : Jurnal Sistem Informasi Sistemasi: Jurnal Sistem Informasi JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JOURNAL OF APPLIED INFORMATICS AND COMPUTING Technomedia Journal Jurnal Sistem Cerdas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CCIT (Creative Communication and Innovative Technology) Journal Journal of Social Science Jurnal Teknik Informatika (JUTIF) Jurnal Abmas Negeri (JAGRI) Naratif : Jurnal Nasional Riset, Aplikasi dan Teknik Informatika Jurnal Algoritma Journal of Social Science IWJ : Inland Waterways Journal ITIJ The Indonesian Journal of Computer Science Indonesia Berdampak: Jurnal Pengabdian Kepada Masyarakat
Nouval Trezandy Lapatta
Universitas Tadulako
Religion Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Physics Social Sciences Transportation Other

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Journal : Technomedia Journal

 1 
E-SKHBK untuk Optimalisasi Pemutusan Hubungan Kerja di PT Sumber Alfaria Trijaya Tbk: Optimizing Termination of Employment: Implementation of Personal Extreme Programming and Evaluation of EUCS PIECES Adhira Putri, Dhivanny; 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.v9i3.2248

Abstract

For 24 years of operation, Alfamart has always upheld the company’s values to provide customer satisfaction. However, efforts to manage human resources as the main asset are needed to support the company’s values in achieving its goals. One of the crucial aspects in this effort is the Personnel Division, which is responsible for employee administration. Unfortunately, the process of terminating employment is still done manually and conventionally. This research explores the development of the Employment Termination Letter (e-SKBHK) website as a solution to optimize the termination process by enhancing efficiency, minimizing paper usage, and ensuring letter security through QR codes. The website development is carried out using the Personal Extreme Programming method, adapted from Extreme Programming but tailored for a single developer. This website development uses PHP language with Laravel 10 framework that applies Model View Controller architecture pattern. The test results using the EUCS method show that users are satisfied with the website developed with an average score of 4.3. While testing with the PIECES method shows a significant increase from a score of 1.96 on the current mail management system to 4.07 on the developed website. This confirms the successful implementation of the website in the aspects of performance, information, economy, control, efficiency, and service in mail management.
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.
Digitalization of Legal Information Management in Primary Schools Based on the JDIH Application: Digitalisasi Manajemen Informasi Hukum Sekolah Dasar Berbasis Aplikasi JDIH Saada, Rahmadian A.; Lapatta, Nouval Trezandy
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.v10i1.2269

Abstract

The rapid development of science and technology in the education sector has prompted institutions like the elementary school to improve the efficiency and effectiveness of information and legal management. This study aims to develop a Legal Documentation and Information Network (JDIH) application to facilitate the publication of school regulations. The primary objective of this research is to create an application that simplifies the management of student and school information, ensuring compliance with educational laws, and fostering an adaptive educational environment. The research used the System Development Life Cycle (SDLC) methodology, utilizing the Waterfall Model approach, which includes planning, analysis, design, implementation, testing, and maintenance. Data was gathered through observation, interviews, and literature studies, ensuring comprehensive insights into the existing regulatory management practices at the school. The JDIH application was successfully developed and implemented at the elementary school. It improved the accessibility of school regulations, ensuring better legal compliance and enhancing transparency. Positive feedback was received from respondents, with an average satisfaction level of 83.3%. This study demonstrates the effectiveness of the JDIH application in streamlining regulatory management. It is expected that the application will be expanded to other schools, further improving the management of legal information and promoting a more transparent and efficient educational environment.
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.
Implementation of Naive Bayes for Optimizing Asset Condition Classification in a Web-Based Information System Putra, Adhitya Pramana; Lapatta, Nouval Trezandy; Ngemba, Hajra Rasmita
Technomedia Journal Vol 10 No 3 (2026): February
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/686nnx47

Abstract

Improving the quality of work performance is an essential aspect for employees at the Office of Investment and Integrated One-Stop Services of Central Sulawesi Province. Many challenges remain in managing asset data, especially because the recording and monitoring processes are still performed manually. This manual approach often leads to inconsistencies, inefficiencies, and difficulties in determining asset eligibility. Therefore, an information system capable of supporting accurate and efficient data management is highly needed. The main objective of this study is to apply the Naive Bayes algorithm to classify asset conditions in a web-based system, enabling faster decision-making and improving the accuracy of asset feasibility assessments within government institutions. The dataset used in this study consists of three key attributes asset functionality, asset age, and physical condition. These attributes serve as indicators for classification using the Naïve Bayes probabilistic approach. The developed web-based application was evaluated through black-box testing to ensure that all system functions performed according to expectations and produced consistent outputs. Black-box testing results show that the system successfully provides correct outputs for each test scenario, verifying that the classification and data management processes operate properly. The application is able to classify assets into feasible or non-feasible categories based on calculated probabilities. Findings indicate that implementing the Naïve Bayes algorithm significantly improves the efficiency of asset data processing and enhances data management quality. The system also supports more objective decision-making regarding asset feasibility. This study demonstrates that probabilistic classification can be effectively integrated into governmental asset management systems to optimize operational performance.
Co-Authors ., Rezki Abdillah Sani, Ilham Abdul Mahatir Najar Abdullah Abdullah Adhira Putri, Dhivanny Agung Stiven Cahyati Angely Ain, Moch. Zukhruf Amriana Amriana Amriana Amriana Andhyka, Andhyka Andi Hendra Andi Hendra Angraeni, Dwi Shinta Anita Ahmad Kasim Anita, Ayu Arsita, Tiara Juli Ar Lamasitudju, Chairunnisa Asriani Asriani, Asriani Ayu Hernita Bakri Chairunnisa Ar. Lamasitudju Chandra, Ferri Rama Darojah, Murtafiatun Delia, Fenita Deni Luvi Jayanto Deny Wiria Nugraha Dessy Santi Djohari, Riyandi Dwitama Dwi Shinta Angreni Dwimanhendra, Muhammad Rifaldi Fahlevi, Mohammad Fazrin Fajar, Moh Fajriyah, Nurul Faldiansyah, Faldiansyah Firzatullah, Raden Muhamad Hajra Rasmita Ngemba Hamid, Odai Amer Hanama, Ikhsan Wahyudin Ihalauw, Sahron Angelina Ihwan, Abib Raifmuaffah Karnita Sumbaluwu, Harlin Feby Kartika, Rina Laila, Rahma Lamadjido, Moh. Raihan Dirga Putra Lamasitudju, Chairunnisa Mandra Maulana, Muhammad Syahputra Mohamad Irfan, Mohamad Mohammad Yazdi Pusadan Muhammad Akbar Muhammad Akbar Mutiara Sari Ngemba, Hajra Ningsih, Alief Surya Noel Marcell Jonathan Wongkar Noviantika, Noviantika Nurhikmah Supardi Nursiana Zasqia, Andi Nirina Pagiu, Harry T. Priska, Salsa Dilah Putra, Adhitya Pramana Qofifa, Sitti Nurlaili Rahmah Laila Rasmita Ngemba, Hajra Rasmita, Hajra Rinianty Rinianty Rinianty, Rinianty Rizka Ardiansyah Rizky, Moh Taufiq Ryfial Azhar Ryfial Azhar, Ryfial Saada, Rahmadian A. Sabarudin Saputra Septiano Anggun Pratama Setiawan, Dita Widayanti Siti Rahmawati Sri Khaerawati Nur Sukirman Sukirman Syahrullah Syahrullah Syahrullah Syahrullah Syahrullah Syaiful Hendra Wirdayanti Wirdayanti Wirdayanti Wongkar, Noel Marcell Jonathan Yanti, Wirda Yudhaswana, Yuri Yuri Yudhaswana Joefrie Yusuf Anshori Zulkifli Zulkifli