Filter By Year

1945 2024


Reset

Found 24,898 documents
Search Information

 2219   2220   2221   2222   2223 
DESIGN OF AN INTER-AGENCY COLLABORATION MANAGEMENT INFORMATION SYSTEM USING A WEB-BASED PRIORITY SCHEDULING METHOD Agustiah, Nita; Andika, Erick
SEMNASTERA (Seminar Nasional Teknologi dan Riset Terapan) Vol 7 (2025)
Publisher : SEMNASTERA (Seminar Nasional Teknologi dan Riset Terapan)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Collaboration between institutions at Politeknik Sukabumi is an important strategy to improve the quality of education, research, and community service. However, the administrative process, which is still carried out manually, causes several obstacles, such as difficulties in determining priorities, lengthy verification processes, and a lack of information transparency. To address these issues, a Web-Based Information System for Inter-Institutional Collaboration Management was developed by applying the Priority Scheduling method to determine the priority order of collaboration activities.This method evaluates priorities based on criteria of urgency, benefits, implementation duration, and availability of human resources, and is equipped with an automatic email notification feature to provide real-time updates on activity progress. The system was developed using a structured development approach with the Laravel framework, through the stages of needs analysis, design, implementation, and testing.The Black Box Testing results show that all system functions operated as expected. The priority determination process produced activity orders that were 100% consistent with manual assessments and was able to increase effectiveness by up to 93% compared to manual processes, reducing processing time from 7 days to 0.5 days.
Designing an Interactive Map as a Medium for Information on Facilities and MSMEs in Sukajaya Village, Way Khilau, Pesawaran Nugraha, Andhiva Rifky; Rohiman, Rohiman
Gorga : Jurnal Seni Rupa Vol. 14 No. 2 (2025): Gorga: Jurnal Seni Rupa (On Going)
Publisher : Fakultas Bahasa dan Seni Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/mxzt8k19

Abstract

The development of digital technology has changed the way people access and manage information, but the digital divide remains a challenge in some areas, including Pesawaran Regency, Lampung Province. This study aims to design and implement a digital-based interactive map as a medium of information on public facilities and micro, small, and medium enterprises (MSMEs) in Sukajaya Village, Way Khilau District. This study uses a qualitative descriptive method with a case study approach, through field observations, documentation, and literature reviews to understand the spatial, social, and economic conditions of the community. The design process integrates 5W+1H analysis and mind mapping to formulate a user-based information structure, while Adobe Illustrator and Figma are used in the visual digitisation and interactive interface development stages. The results of the study show that interactive maps can improve access to information, strengthen the visibility of local MSMEs, and encourage community participation in sustainable village development. This study concludes that interactive digital media is an effective solution to bridge the digital divide and support inclusive economic growth at the village level.
Analisis Efektivitas Sistem Informasi Rujukan Terintegrasi (Sisrute) dalam Kasus Covid-19 di Semen Padang Hospital : Analysis of the Effectiveness of the Integrated Referral Information System (Sisrute) in the Covid-19 Case at Semen Padang Hospital Pratiwi; Jaslis Ilyas; Ede Surya Darmawan
Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 6 No. 2 (2023): February 2023
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/mppki.v6i4.3172

Abstract

Latar belakang: Pemerintah Indonesia telah menetapkan Sistem Informasi Rujukan Terintegrasi (SISRUTE) dalam mempermudah rujukan kasus COVID – 19. Namun, praktik dan efektifitasnya masih sangat bervariasi di berbagai daerah. Penggunaan SISRUTE sebelum COVID – 19 saja dinilai masih belum optimal, sementara saat pandemi sangat sedikit pasien COVID – 19 yang diterima melalui SISRUTE. Tujuan: Memperoleh gambaran efektivitas penggunaan SISRUTE dalam kasus COVID – 19 di Semen Padang Hospital sebagai rumah sakit swasta pertama di Kota Padang yang menjadi rumah sakit rujukan COVID – 19 selama periode April 2020 hingga Oktober 2021. Metode: Merupakan penelitian kualitatif dengan proses pengumpulan data dilakukan dengan analisis data sekunder, wawancara mendalam kepada tujuh orang informan yang dipilih secara purposive sampling dan telaah dokumen. Hasil: Response time rujukan via SISRUTE sangat lama disebabkan tidak adanya dokter yang khusus bertugas mengecek SISRUTE dan panjangnya alur konsultasi penerimaan rujukan. Banyaknya penolakan rujukan via SISRUTE disebakan oleh penuhnya ruangan, tidak tersedianya fasilitas seperti kamar operasi dan persalinan khusus COVID, ventilator mekanik dan alat hemodialisa. Kendala dari kualitas SISRUTE yang tidak menampilkan kapasitas dan fasilitas yang tersedia dan versi mobile yang tidak mudah digunakan juga menjadi penyebab tidak efektifnya SISRUTE dalam rujukan pasien COVID 19. Kesimpulan: Penggunaan SISRUTE dalam kasus COVID – 19 tidak efektif karena kemungkinan pasien akan diterima lewat SISRUTE jauh lebih kecil dibandingkan dengan pasien datang sendiri ke UGD.
Sistem Informasi Manajemen Logistik Obat di Pelayanan Farmasi Puskesmas : Literature Review : Drug Logistics Management Information System in Puskesmas Pharmacy Services : Literature Review Ariska Putri, Ulfa; Budi Prasetijo, Agung; Tri Purnami, Cahya
Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 6 No. 6 (2023): June 2023
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/mppki.v6i7.3447

Abstract

Latar Belakang: Sistem informasi manajemen logistik obat-obatan memungkinkan pengguna untuk mendapatkan data yang benar, dalam jumlah yang tepat, kualitas yang tepat, dan pada waktu yang tepat. Tujuan: Tujuan dari penelitian ini adalah untuk mengkaji literatur terkait sistem informasi logistik farmasi di lingkup puskesmas. Metode: Studi ini merupakan review literatur. Artikel yang digunakan adalah artikel berbahasa Indonesia yang dipublikasikan di Google Scholar dalam kurun waktu 2016 – 2023. Kriteria inklusi yaitu data-data yang memuat kata kunci sistem informasi pengelolaan obat di puskesmas, sedangkan kriteria eksklusi adalah artikel yang tidak berhubungan dengan kata kunci tersebut. Artikel yang disertakan pada penelitian ini adalah observasi dan ekperimen yang dilakukan di berbagai wilayah di Indonesia. Hasil: Ditemukan sebanyak 15 artikel yang memenuhi kriteria inklusi, dengan rincian sebanyak 40% studi di Pulau Jawa, 33,3% puskesmas di daerah Sulawesi, 20% Sumatera, dan 6,67% merupakan studi di Kalimantan. Hasil penelusuran menunjukkan 60% puskesmas masih melakukan pengelolaan obat secara manual, dan 40% melakukan upaya perancangan sistem informasi berbasis web. Kesimpulan: Sebagian besar puskesmas masih menggunakan sistem pengelolaan obat secara manual. Kelemahannya adalah seringkali terjadi ketidakakuratan informasi pencatatan dengan jumlah fisik logistik obat. Penggunaan sistem elektronik berbasis web dinilai lebih menghemat waktu, mudah diakses, dan menjamin keamanan data.
The Impact of Generative AI On Political Participation and Information Vulnerability of Generation Z: A Literature Review Khofi, Muhammad Yazid
JURNAL ILMIAH DETUBUYA Vol. 3 No. 1 (2025): December
Publisher : Visi Pencerah Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64581/jid.v3i1.146

Abstract

This study comprehensively analyzes the impact of generative AI on the political participation and information vulnerability of Generation Z, employing library research and literature review approaches. Data were collected from books and scientific articles sourced from Google Scholar, Scopus, DOAJ, and Scispace, with publications spanning the years 2018–2025. The selection process was conducted in stages, involving the screening of titles, abstracts, and full texts based on inclusion criteria that emphasized the relevance of topics related to generative AI, digital politics, and Generation Z. Thematic analysis was employed to synthesize the findings across studies. The results of the study indicate that generative AI is no longer simply a communication tool, but rather a strategic actor shaping the production and distribution of political information through algorithmic personalization, accelerated narrative circulation, and amplified emotional communication. Its impact is ambivalent; AI can increase political participation, but also trigger misinformation, manipulation, and erosion of public trust. Gen Z's information vulnerability is understood as the result of the interaction between platform design, algorithms, and the information ecosystem, not simply an individual limitation. This study recommends strengthening AI literacy, transparent regulation, and political data governance to maintain the quality of digital democracy.
Promoting Peaceful and Inclusive Information Security Compliance: A Systematic Review of Assurance Behavior in IT Employees within the Context of SDG-16 in Malaysia Zarilla, Aziela Isma
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.508

Abstract

This systematic review examines the alignment between IT employees' desire,intention, and compliance with information security protocols, a critical issue in Malaysia wherehuman error is a leading cause of data breaches. Situated within the context of SustainableDevelopment Goal 16 (SDG-16), the study analyzes 30 peer-reviewed articles to identify keybehavioral factors. Findings indicate that while training improves knowledge, its impact on longterm behavior is limited. A significant compliance gap is driven by psychological factors likework overload and optimism bias, as well as organizational elements such as culture andmanagement support. The review concludes that effective information security assurancerequires a holistic strategy integrating tailored, ethical training with strong organizational supportto mitigate psychological strain and foster a robust security culture. This approach is essentialnot only for strengthening cybersecurity but also for supporting Malaysia's commitment to digitalresilience and the principles of SDG-16.
Estimating the Unemployment Rate at Sub-District Level in West Java Province in 2024 Using Hierarchical Bayesian Approach with Cluster Information Aditya, Randy Daffa; Zukhrufah, Awika; Auliya, Eksis; Widyastuti, Dyah; Lubis, Adrian; Nugraha, Anggie; Muchlisoh, Siti
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.518

Abstract

Unemployment is a substantial obstacle to growth in Indonesia, affecting both socialand economic stability. The Unemployment Rate is a crucial metric that quantifies the proportionof the labor force actively pursuing work opportunities. The unemployment rate serves as acritical indicator of labor market imbalances, essential for labor policy formulation andassessment. Nonetheless, unemployment data has limitations, particularly at the micro-level,owing to sample constraints. Small Area Estimation (SAE) can address these constraints. Thisstudy estimates the unemployment rate at the sub-district level in West Java province for 2024utilizing the Hierarchical Bayes Beta methodology and clustering techniques. The modelingresults indicate that most sub-districts exhibit a low to medium unemployment rate, however 21locations demonstrate a very high unemployment rate, ranging from 23.00 percent to 48.06percent.
Extracting Information on Aspects of Sustainable Tourism in ASEAN Using Named Entity Recognition (NER) Manalu, Sisilia; Transver Wijaya, Yuliagnis
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.601

Abstract

Sustainable tourism is an important issue in the ASEAN region, which has experienced rapid growth in the tourism sector but faces challenges in maintaining a balance between economic, social, and environmental aspects. Information on sustainability practices is scattered across various forms of text, making it difficult to analyze manually. This study aims to extract information on aspects of sustainability in tourism using a transformer-based Named Entity Recognition (NER) approach. Three data sources were used: government websites, online news, and travel reviews on TripAdvisor. Five transformer models were compared, namely BERT, ALBERT, DistilBERT, ELECTRA, and RoBERTa, to evaluate entity extraction performance. The dataset was divided using an 80:10:10 ratio for training, validation, and testing. The results showed that DistilBERT provided the best performance with a balance of accuracy and computational efficiency. In addition, an analysis of the distribution of sustainability aspects in ASEAN countries and Indonesia in particular was conducted to identify practices that have already been implemented. These findings are expected to contribute to the development of more sustainable tourism policies and practices in the ASEAN region and Indonesia.
Equipment Borrowing and Room Booking Information System at the Politeknik Statistika STIS Hadi Nugroho, Setya; Marsisno, Waris
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.624

Abstract

The management of goods and space lending services at the Politeknik Statistika STIS is currently still done manually, resulting in various operational constraints such as limited access to information, inefficient processes, and potential errors in recording. This impacts the quality of service and the effectiveness of campus asset utilization. This study aims to design and build a website-based goods and space lending information system to address these issues. The system developers aimed to provide users with access to information on goods and space availability, simplify the loan application process, and improve the accuracy of inventory data. The system was developed using the SDLC method with a prototyping approach, while The researchers carried out the evaluation process using Black Box Testing and a PSSUQ survey survey to measure ease of use and user satisfaction. The developers successfully built the system and confirmed through Black Box Testing that all features operate correctly, and the PSSUQ evaluation shows an average score of 1.69, indicating that this system is well received and provides a high level of satisfaction for users.
Job Competency Extraction in Information and Technology Sector Using K-Means and Non-Negative Matrix Factorization (NMF) Algorithms Rifa Geandra, Alfitra; Mumtaz Siregar, Amir; Nooraeni, Rani
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.684

Abstract

The advancement of information technology has led to a surge in online job vacancy data, which contains valuable information about the skill demands in the digital labor market. This study aims to extract job competency in the information and technology sector using a combination of KMeans clustering and Non-Negative Matrix Factorization (NMF). A total of 350 job postings were collected from the Kalibrr platform and processed through web scraping, text preprocessing, and feature representation using TF-IDF. The clustering results indicate that the optimal configuration consists of 10 clusters, as evaluated using the Silhouette Score and Davies-Bouldin Index. Each cluster represents a specific job topic, such as backend development, data science, QA automation, cybersecurity, and digital marketing. The results offer a structured overview of digital skill demands and can be utilized by educational institutions, training providers, and labor policy makers. However, the dataset’s limited size, reliance on a single job platform, and the use of traditional machine learning techniques may not capture all semantic variations and complexities present in the broader job market. Consequently, future work should involve larger and more diverse datasets as well as advanced deep learning text representation approaches to enhance the robustness and generalizability of the results. 

Page 2221 of 2490 | Total Record : 24898

 2219   2220   2221   2222   2223