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Triyuni Puspita Dewi
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Kramat Jati RT/RW: 001/001 Desa Selogudig Kulon kecamatan Pajarakan Kabupaten Probolinggo Provinsi Jawa timur 67281
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INDONESIA
JOKI: Journal of Computing and Informatics
Published by Laskar Karya
ISSN : -     EISSN : 30635535     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
JOKI: Journal of Computing and Informatics is a peer-reviewed journal in the field of informatics. This journal is published twice a year (June and December) by the Laskar Karya in Probolinggo , East Java. Manuscripts submitted by authors undergo a double-blind review process. Accepted papers are published both online and in print. JOKI publishes original papers in the field of informatics which include but are not limited to: Computer Vision, Software Engineering, Natural Language Processing, Human-Machine Interface, Next Network Generation, IT Governance, Information Search Engine, Multimedia Security, Information Retrieval, Intelligent System, Distributed Computing System, Mobile Processing, Computer Network Security, Business Process, Cognitive Systems, Programming Methodology and Paradigm, Data Engineering, Knowledge Based Management System, Knowledge Discovery in Data, Digital Signal Processing, Stochastic Systems, Information Theory, Intelligent Systems, Networking Technology, Optical Communication Technology, Next Generation Media, Robotic Instrumentation.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 5 Documents
 1 
Search results for , issue "Vol 2 No 1 (2025): June 2025" : 5 Documents clear
Pemetaan Daerah Rawan Stunting dengan Algoritma K-Means dan Analisis Demografis di Kabupaten Probolinggo Mochammad Faid; Wahab Sya'roni; Moh. Sukron
JOKI: Jurnal Komputasi dan Informatika Vol 2 No 1 (2025): June 2025
Publisher : CV. Laskar Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65678/joki.v2i1.155

Abstract

Stunting merupakan permasalahan kesehatan masyarakat yang berdampak jangka panjang terhadap kualitas hidup dan produktivitas generasi masa depan. Penelitian ini bertujuan untuk memetakan wilayah rawan stunting di Kabupaten Probolinggo dengan menggunakan pendekatan machine learning melalui algoritma K-Means, serta menganalisis hubungan antara prevalensi stunting dengan faktor-faktor demografis seperti tingkat kemiskinan, akses sanitasi layak, dan rata-rata lama sekolah ibu. Data sekunder diperoleh dari Dinas Kesehatan, BPS, dan Dispendukcapil Kabupaten Probolinggo, serta dokumen perencanaan daerah. Hasil klasterisasi membagi kecamatan menjadi tiga kelompok risiko: tinggi, sedang, dan rendah. Klaster risiko tinggi ditandai dengan prevalensi stunting di atas 14%, kemiskinan melebihi 20%, sanitasi buruk, dan pendidikan ibu yang rendah. Analisis korelasi menunjukkan bahwa stunting berkorelasi positif kuat dengan kemiskinan (r = 0,96) dan negatif dengan sanitasi (r = -0,93) serta pendidikan ibu (r = -0,96). Temuan ini menegaskan perlunya intervensi lintas sektor yang terarah dan berbasis data untuk mempercepat penurunan angka stunting, khususnya di wilayah dengan karakteristik demografis yang rentan.
Realistic 3D Object Visualization in Early Childhood Educational Games Using Ray Tracing Algorithms Yaqin, Moh. Ainol Yaqin; Abu Tholib; Juvinal Ximenes Guterres
JOKI: Jurnal Komputasi dan Informatika Vol 2 No 1 (2025): June 2025
Publisher : CV. Laskar Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65678/joki.v2i1.153

Abstract

Computer graphics plays a crucial role in creating engaging and interactive learning experiences for young children. This study implements ray tracing algorithms to enhance 3D object visualization in educational games designed for early childhood. The objective is to improve visual realism, thereby increasing children's interest and engagement in learning through interactive gameplay. The game was developed using C++ and OpenGL, incorporating ray tracing techniques to simulate light behavior accurately and produce realistic shading and reflections. The research followed a systematic development process, including literature review, game design, algorithm implementation, and user evaluation. The evaluation, involving early learners, showed a significant increase in attention span, comprehension, and enthusiasm among children exposed to ray-traced 3D environments, compared to traditional visualization techniques. These findings suggest that realistic 3D visualization through ray tracing can be a valuable asset in educational media, supporting cognitive development and learning motivation in early childhood education.
Production Optimization of Refill Drinking Water Using Linear Programming and Excel Solver: A Case Study of AMIL Depot in Madura Maulidiansyah; Rohimatul Maisyaroh
JOKI: Jurnal Komputasi dan Informatika Vol 2 No 1 (2025): June 2025
Publisher : CV. Laskar Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65678/joki.v2i1.154

Abstract

In the era of data-driven decision-making and operational efficiency, the optimization of production processes has become vital for sustaining competitive advantage. AMIL, a leading refill drinking water brand in Madura, Indonesia, is striving to enhance its production profitability amidst increasing consumer demand and resource constraints. This study presents a linear programming-based approach using Microsoft Excel Solver to optimize the production planning of two key product variants 19-liter and 15-liter gallon refill bottles at the AMIL depot. By formulating an objective function that maximizes daily profit and incorporating constraints such as production capacity, raw material limitations, and market demand, the model identifies the optimal product mix. The results indicate that producing only the 19-liter variant under the given demand scenario (25 units/day) yields a maximum daily profit of IDR 150,000, while the 15-liter variant, under the same demand, yields a lower return of IDR 125,000. The optimal production ratio is thus determined to be 2:0 in favor of the 19-liter gallon. This study demonstrates the practical utility of Excel Solver as an accessible and effective decision support tool for small to medium-scale manufacturing operations. The findings offer actionable insights for resource allocation, cost minimization, and strategic production planning in the refill water industry. Furthermore, this approach may serve as a replicable framework for other enterprises seeking to optimize operational performance through linear programming.
Enhancing Internship Assignment Efficiency Through Spreadsheet-Based Linear Programming Hudawi, Ahmad; Matlubul Khairi; Ach Ramadhani
JOKI: Jurnal Komputasi dan Informatika Vol 2 No 1 (2025): June 2025
Publisher : CV. Laskar Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65678/joki.v2i1.156

Abstract

Internship programs serve as a vital bridge between academic knowledge and real-world practice, preparing students for professional environments. However, the manual process of assigning students to internship positions often results in inefficiencies, misalignments between student skills and job roles, and unnecessary costs. This study introduces a spreadsheet-based linear programming approach using Microsoft Excel Solver to optimize the assignment of internship students to tasks, aiming to minimize total costs while maximizing task compatibility. The model incorporates student profiles, task-specific skill requirements, and associated costs to generate the most efficient allocation. Results show that all four students in the case study were optimally assigned to distinct tasks coding, UI/UX design, editing, and data analysis at the lowest total operational cost of IDR 277,000. The proposed method not only ensures task relevance for each intern but also significantly improves the assignment efficiency. These findings suggest that Excel Solver can be a practical and accessible decision-support tool for academic institutions and partner organizations in managing internship programs.
Operational Cost Efficiency in Tobacco Industry Distribution Using Integer Programming via Excel Solver M. Fadhilurrahman; Ahmad Khairi; Emmanuel E. Uye; rahman, fadhil
JOKI: Jurnal Komputasi dan Informatika Vol 2 No 1 (2025): June 2025
Publisher : CV. Laskar Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65678/joki.v2i1.157

Abstract

Efficient transportation management plays a vital role in minimizing operational costs in the tobacco manufacturing industry. This study presents the application of Integer Programming using Excel Solver to optimize distribution logistics and reduce transportation expenses in a cigarette factory. The research employs a quantitative descriptive approach using simulated data representing production capacities and regional demand. A linear programming model is constructed to minimize total transportation costs while considering constraints such as factory capacity, regional demand, and non-negativity of shipment volumes. Excel Solver, as an accessible and widely adopted optimization tool, is utilized to determine the optimal allocation of product deliveries from factories to various distribution zones. The results indicate that Solver provides a cost-effective and practical solution for identifying optimal transport routes, reducing overall distribution costs, and improving operational efficiency. Furthermore, sensitivity analysis reveals the robustness of the model in responding to changes in cost parameters and capacity constraints. The study highlights the strategic potential of spreadsheet-based decision support systems in enhancing supply chain efficiency within the tobacco industry and similar manufacturing sectors..

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