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SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan
Published by RAM PUBLISHER
ISSN : 30901626     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 121 Documents
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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; Samia Fadilah
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 Wahyudi Diki
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.
Perencanaan Strategi PT. Paragon Technology and Innovation di Era Society 5.0 Ika Putri Puspitsari
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.16555419

Abstract

Perkembangan teknologi digital yang dicakup dalam konsep Society 5.0 memiliki dampak besar ke sejumlah sektor industri. Society 5.0 yang menggunakan teknologi canggih berupa Artificial Intelligence , Internet of Things dan Big Data lebih berfokus pada peningkatan efisiensi dan keberlangsungan sistem dalam melakukan kegiatan industri. Penelitian ini menganalisis dampak Society 5.0 terhadap bisnis industri kosmetik dengan kasus PT. Paragon Technology and Innovation yang merupakan perusahaan kosmetik terbesar di kawasan ASEAN. Penelitian ini bertujuan mengetahui strategi apa yang dapat diterapkan PT. Paragon dalam menghadapi perubahan teknologi digital dan mengidentifikasi pengembangan strategi transformasi digital yang efektif mengacu pada prinsip Integrated Technology Management Planning. Data hasil analisis menunjukkan bahwa dengan penerapan teknologi digital seperti Big Data, AI dan IoT, efisiensi kerja dari PT. Paragon meningkat yang kemudian dapat meningkatkan daya saing perusahaan di pasaran global serta menjaga keberlangsungan perusahaan dan patuh terhadap bisnis hijau. PT. Paragon dapat merancang strategi transformasi berdasarkan ITMP secara integratif dan adaptif sesuai era Society 5.0
AI Web-based Computer Service Management System at PUSCOM Muhammad Irvan Shandika; 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.16280893

Abstract

This research aims to develop a web-based computer service management system with artificial intelligence (AI) integration at PUSCOM to address challenges in manual service management, such as customer data recording, service status tracking, and report generation. The problems faced by PUSCOM include potential data errors, loss of physical documents, and delays in performance evaluation due to manual processes. The research method used is the Agile SDLC approach, covering problem identification, data collection through interviews and documentation, functional and non-functional requirements analysis, system modeling using UML, NoSQL Firebase database design, interface design, implementation using Next.js and Javascript, and AI chatbot integration using Vercel AI SDK with the Google Gemini model. The research results demonstrate the successful development of a system capable of automating data recording, facilitating online service registration, managing products, and providing an AI chatbot to assist admins in report generation and real-time damage analysis. This system is proven to enhance operational efficiency, reduce manual errors, and support strategic decision-making at PUSCOM, contributing to improved service quality and customer satisfaction.
Business Model for Effectiveness of Human-AI Collaboration Patterns in Digital Fiction Storytelling: A Systematic Literature Review Daffa Shidqi Thamrin
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 Muhammad Arif Zikir Risky Arif
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 Mercy Kristina Possumah; 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 Annisa Humairo; 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.
Comparison Of Efficientnet And Yolov8 Algorithms In Motor Vehicle Classification Ferian Fauzi Abdulloh; Favian Afrheza Fattah; Devi Wulandari; Ali Mustopa
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.16561038

Abstract

The YOLOv8 accuracy curve highlights clear overfitting. As shown in the graph, the model reaches 100% training accuracy from the first epoch and remains flat, indicating it memorized the training data. However, validation accuracy lags behind, fluctuating between 90% and 92% without significant improvement. This discrepancy between training and validation performance suggests that YOLOv8 struggles to generalize to unseen data. The issue likely stems from its architecture, which is optimized for object detection tasks that prioritize object localization over feature extraction for classification. When repurposed for classification, YOLOv8 may not extract the nuanced visual patterns needed to differentiate similar classes, such as trucks and buses. Consequently, although YOLOv8 performs well on the training set, its classification accuracy in real-world scenarios is limited. Addressing this may require architectural adjustments, stronger regularization, or more diverse training data to enhance the model’s generalization for pure classification tasks.

Page 12 of 13 | Total Record : 121

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