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SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan
Published by RAM PUBLISHER
ISSN : -     EISSN : 30323991     DOI : -
Core Subject : Humanities, Science, Engineering,
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan or in English the publication title Information Systems, Engineering and Applied Technology is an open access journal committed to publishing high quality research articles in the fields of Information Systems, Informatics, Digital Communication Information Technology, Tourism Technology, Transportation Technology, Agricultural Technology, Plantations, Fisheries, Marine, Environmental Technology, Artificial Intelligence, Mechanical Engineering, Electrical Engineering, Industrial Engineering and Civil Engineering. Published 4 X (Times) a year in January, April, July, and October. SITEKNIK accepts and selects quality articles and focuses on providing the best service for writers. SITEKNIK is committed to being a leading platform for researchers to share their innovative findings. We also provide a fast and transparent review process to ensure the quality and originality of each published article.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 14 Documents
 1   2 
Search results for , issue "Vol. 2 No. 3 (2025): July" : 14 Documents clear
Optimization of Random Forest Algorithm Using Random Search for Alzheimer's Disease Detection Wahyudi, Hasyim Sri; Ferian Fauzi Abdulloh
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 3 (2025): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.16554889

Abstract

Alzheimer's disease is a type of neurodegenerative disorder that causes a decline in cognitive function. Early detection is crucial to enable more effective interventions and slow the progression of the disease. However, the diagnosis of Alzheimer's disease often faces challenges, particularly in detecting the early stages of the disease from complex and diverse medical data. This study aims to optimize the Random Forest algorithm using the Random Search method for detecting Alzheimer's disease. The Random Forest algorithm was applied as the primary model in this research, while hyperparameter optimization was performed using the Random Search method to improve model performance. The results showed that the Random Forest model without optimization achieved an accuracy of 96%. After performing hyperparameter optimization, the model's accuracy increased to 97%. In conclusion, the application of hyperparameter optimization using the Random Search method successfully enhanced the performance of the Random Forest model. The resulting model provides more accurate predictions, making it a reliable tool for the early detection of Alzheimer's disease.
Random Search Optimization Using Random Forest Algorithm For Liver Disease Prediction BAYU SATRIYA, RIYAN; Kusnawi, Kusnawi
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 3 (2025): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15468679

Abstract

The liver is a vital human organ with complex and diverse functions. One of the diseases that affect the liver is hepatitis or liver disease. Early detection is crucial to enable more effective intervention and slow the progression of the disease. However, diagnosing liver disease often faces challenges, especially in detecting the early stages of the disease from complex and diverse medical data. This study aims to optimize the Random Forest algorithm using the Random Search method for liver disease detection. The Random Forest algorithm is applied as the primary model in this research, while hyperparameter optimization is performed using the Random Search method to enhance model performance. The results show that the Random Forest model without optimization achieves an accuracy of 93%. After hyperparameter optimization, the model's accuracy increases to 94%. In conclusion, applying hyperparameter optimization using the Random Search method successfully improves the performance of the Random Forest model. The resulting model provides more accurate predictions.
Analysis of Digital Governance Framework Implementation to Enhance Digital Transformation Farhana Zahra
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 3 (2025): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15400843

Abstract

Digital transformation (DT) is increasingly crucial for public and private organizations seeking agility and efficiency. However, many entities pursue DT initiatives without first establishing a structured digital governance framework, resulting in fragmented implementation and strategic misalignment. This study aims to analyze how the absence of governance mechanisms affects transformation effectiveness and identify foundational elements necessary to initiate governance in such contexts. The novelty of this research lies in its analytical focus on organizations lacking pre-existing governance structures. Unlike prior studies that assume the presence of governance, this research offers insights for institutions starting from zero. Using a qualitative descriptive method through literature review and document analysis, this study investigates key governance gaps, risks, and challenges in low-governance environments. The findings reveal that the absence of digital governance leads to inefficiencies, redundant systems, poor risk management, and low accountability. By synthesizing best practices and proposing phased implementation strategies, the research provides practical guidance to build governance capabilities from the ground up. This study offers both theoretical contributions and actionable recommendations for sustainable digital transformation.
Increasing the Turnover of MSMEs in Healthy Beverages Through Digital Marketing Strategies: A Case Study of Shuguci and WHF MSMEs Dr. Mochamad Teguh Kurniawan, ST., MT; Fadilah, Samia
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 3 (2025): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15537420

Abstract

This study aims to analyze the effectiveness of applying Digital Marketing strategies in increasing the revenue and brand awareness of the Healthy Beverage MSMEs, Shuguci and WHF. The method used is qualitative with a case study approach, where data were collected through observation, in-depth interviews, and documentation of the MSMEs' digital marketing activities.The results show that after the mentoring program, the MSMEs' revenue increased by 50%, accompanied by improved understanding among owners and employees regarding digital marketing strategies. They are now more adept at using hashtags, determining optimal posting times, segmenting markets, and utilizing trending music in digital content. Additionally, customer interaction significantly improved, as indicated by the growing number of customers reaching out via direct messages during promotions and actively participating in live sessions on social media. The referral program offering discounts to customers who recommended the products also proved effective in increasing the number of new customers. It can be concluded that implementing Digital Marketing strategies can be an effective solution for MSMEs to increase their revenue and brand awarene
A Comparative Study of Lean Startup and Design Thinking to Accelerate Startup Market Adaptation Diki , Diki Wahyudi
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 3 (2025): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15537556

Abstract

This study aims to compare two popular innovation approaches, namely Lean Startup and Design Thinking, in the context of speed of responding to market needs. Lean Startup is known for its focused scientific method that encourages hypothesis testing and product validation through the Build-Measure-Learn cycle, while Design Thinking emphasizes deep understanding of users and the creation of innovative solutions through the process of research, problem definition, ideation, prototyping, and evaluation. Through literature analysis and comparison of the two approaches, this study found that although both have the same goal of creating relevant products, they have different methods and focuses. Lean Startup is more efficient in a dynamic and competitive environment, while Design Thinking produces solutions that are more in line with user needs. This study recommends that companies and innovators consider the specific context of the innovation project being implemented and combine elements of both approaches to achieve optimal results. These findings provide valuable insights into the application of Lean Startup and Design Thinking in product development and innovation.
Business Model for Effectiveness of Human-AI Collaboration Patterns in Digital Fiction Storytelling: A Systematic Literature Review Thamrin, Daffa Shidqi
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 3 (2025): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15788175

Abstract

The unavoidable pace of Artificial Intelligence (AI) is changing its role from a simple tool to a potential thought partner in various creative fields, including digital storytelling. This research discusses the effectiveness of human-AI collaboration patterns specifically in the aspect of fictional storytelling, for which creativity, narrative structure, and imagination are crucial. By a Systematic Literature Review (SLR), this research synthesizes results from published article research from 2020 to 2025, with the focus on how AI supports and co-creates with human authors throughout the storytelling process. This research also discovered and identified several benefits, which include increased creativity, idea generation, and efficiency, and also discussed challenges such as authority for storytelling, author originality, and ethical considerations in the ownership of a story. This research also discusses implications for future development and proposes a collaboration model that involves two types of human actors, which are writers and editors, and then collaborating with an AI system by a human-centered business design approach. Those results offer a framework business model for implementing practical storytelling systems by results of literature review and suggest that fictional storytelling may be an ideal and potential field for learning about AI's creative potential. The contribution of this research is the aspect of human-centered AI and provides guidelines for designing collaborative storytelling platforms that include both human and AI roles
Perancangan Sistem Pemesanan pada Usaha Mikro, Kecil, dan Menengah (UMKM) LA Group Kabupaten Jombang Berbasis Website Arif, Muhammad Arif Zikir Risky
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 3 (2025): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15752546

Abstract

UMKM LA Group, usaha mikro di Jombang yang menyediakan jasa sewa makeup, hairdo, dekorasi lamaran, serta baju pengantin dan adat, menghadapi kendala serius dengan proses pemesanan manual. Metode ini, yang mengandalkan media sosial dan aplikasi pesan instan, menyebabkan pencatatan tidak akurat, konfirmasi lambat, dan manajemen data transaksi yang tidak efisien. Untuk mengatasi masalah ini, sebuah sistem pemesanan berbasis web telah dirancang dan diimplementasikan menggunakan PHP dan MySQL. Tujuannya adalah mempermudah pelanggan dalam melakukan pemesanan sekaligus membantu UMKM mengelola data pesanan secara lebih sistematis, terintegrasi, dan efisien. Pengembangan sistem ini mengikuti model Waterfall, meliputi analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Pendekatan ini dipilih karena strukturnya yang sistematis, menjamin pengembangan yang terorganisir dan terdokumentasi dengan baik. Hasil pengujian black box menunjukkan bahwa semua fungsi sistem berjalan sesuai spesifikasi, tanpa ditemukan kesalahan pada proses input, pengolahan, maupun output data. Sistem ini terbukti meningkatkan efisiensi pemrosesan pesanan, mengurangi kesalahan pencatatan, dan mempercepat pelayanan pelanggan. Dengan adanya sistem ini, UMKM LA Group kini dapat mengelola pesanan secara lebih profesional, terstruktur, dan terdokumentasi.
Organizational Impact of Knowledge Management on Innovation Intellectual Capital Research and Creativity: A Systematic Literature Review Farhana Zahra; Dzakiyyah Al Kaazhim; Putri Luthfiah Harmaya; Muharman Lubis
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 3 (2025): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15765894

Abstract

Rapid changes in global competitiveness require organizations to manage knowledge as a strategic resource to improve innovation, intellectual capital, and creativity. This study explores the impact of Knowledge Management (KM) on organizational innovation by analyzing its relationship with intellectual capital and digital governance. The objective of the research is to examine how KM processes influence innovation performance, and how intellectual capital acts as a mediating factor in this relationship. The novelty of this study lies in its synthesis of KM, innovation, and intellectual capital through the lens of digital governance. The research uses a systematic literature review method by analyzing ten peer-reviewed articles published between 2020 and 2025, selected through the PRISMA 2020 protocol from databases such as Scopus, ScienceDirect, and Google Scholar. The findings show that KM enhances innovation when supported by strong human, structural, and relational capital, along with well-structured digital systems. This study contributes to the development of adaptive strategies for innovation-driven organizations based on integrated knowledge practices
Peran Manajemen Pengetahuan dalam Pengembangan Kompetisi dan Kinerja Pegawai di Perguruan Tinggi : Pendekatan Study Literature Review Possumah, Mercy Kristina; Yulio Ferdinand; Neca Aqila; Muharman Lubis
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 3 (2025): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15783922

Abstract

Dalam era transformasi digital, perguruan tinggi dituntut untuk meningkatkan kinerja institusional melalui optimalisasi pengelolaan pengetahuan dan sumber daya manusia. Studi ini bertujuan untuk mengevaluasi kontribusi integratif antara manajemen pengetahuan dan praktik manajemen sumber daya manusia terhadap peningkatan kinerja pegawai di lingkungan perguruan tinggi. Melalui pendekatan Systematic Literatur Review (SLR), penelitian ini menganalisis 26 artikel dari database scopus yang diterbitkan dalam rentang waktu 2019 – 2025. Hasil sintesis menunjukkan bahwa penerapan strategi Knowledge Management (KM) seperti knowledge sharing, knowledge contribution dan knowledge transfer, serta praktik Human Resource Management (HRM) seperti training development, performance evaluation dan talent management  berkontribusi positif terhadap pengembangan kompetensi pegawai dan pencapaian performansi kinerja. Studi ini juga mengusulkan model konseptual yang mengintegrasikan proses KM dan HRM sebagai fondasi dalam membangun budaya organisasi yang kolaboratif inovatif dan berkelanjutan. Implikasi praktis dari temuan ini memberikan arahan strategis bagi pengelola perguruan tinggi dalam merancang kebijakan pengembangan pegawai berbasis pengetahuan untuk mendukung keunggulan institusi
Strategi Terbaik Transfer Pengetahuan dalam K3: Integrasi Teknologi dan Manajemen Pengetahuan Humairo, Annisa; Akbar Habib Buana Wibawa Putra; Laily Indaryani; Muharman Lubis
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 3 (2025): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15774030

Abstract

Penelitian ini mengeksplorasi peran Manajemen Pengetahuan (Knowledge Management/KM) dalam meningkatkan sistem Keselamatan dan Kesehatan Kerja (K3) di dalam organisasi. Dengan menganalisis komponen utama seperti siklus hidup pengetahuan, faktor-faktor pendukung, dan area penerapan, studi ini menyajikan model konseptual yang mengintegrasikan proses KM dengan teknologi dan metodologi untuk mendukung pelatihan, pengambilan keputusan, dan praktik keselamatan. Temuan menunjukkan bahwa perolehan, berbagi, dan pemanfaatan pengetahuan merupakan inti dari sistem pengetahuan K3 yang efektif, serta bahwa elemen pendukung seperti budaya organisasi, kepemimpinan, dan ketersediaan sumber daya sangat penting untuk memastikan aliran pengetahuan yang efisien di seluruh organisasi. Selain itu, adopsi alat digital seperti IoT, AI, ontologi, dan grafik pengetahuan secara signifikan meningkatkan pengumpulan data real-time, strukturisasi pengetahuan, dan analisis risiko keselamatan. Model ini menawarkan kerangka kerja holistik dan sistematis untuk menerapkan KM dalam K3 guna mendorong budaya keselamatan yang proaktif, berbasis data, dan berorientasi pembelajaran.

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