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All Journal Jurnal Media Infotama Jurnal Pseudocode Journal of Applied Computer Science and Technology (JACOST) Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Sistem Informasi Dan E-Bisnis Kreativitas Pada Pengabdian Masyarakat (Krepa) Kohesi: Jurnal Sains dan Teknologi Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer International Journal of Information Technology and Business
Rozali Toyib
Unknown Affiliation
Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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PERANCANGAN PROTOTIPE DIGITALISASI ARSIP SURAT MASUK DAN KELUAR DI DINAS PENDIDIKAN DAN KEBUDAYAAN KOTA BENGKULU Tasya Rufaidah; Rhapico Emon Apriansya; Tiara Dela Puspa; Martiyas Tirtayo; Ling Beri Parima; Rozali Toyib; Muntahana Muntahana
Kohesi: Jurnal Sains dan Teknologi Vol. 7 No. 5 (2025): Kohesi: Jurnal Sains dan Teknologi
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3785/kohesi.v7i5.11766

Abstract

The manual management of incoming and outgoing mail archives in government institutions often leads to challenges such as difficulties in document retrieval, risks of loss or damage, and limited storage space. These issues affect work efficiency and administrative processes. This study aims to design a prototype for digitizing incoming and outgoing mail archives at the Department of Education and Culture of Bengkulu City to enhance document management efficiency. The research employs a qualitative descriptive method, including literature review, needs analysis, system design, and evaluation. The findings indicate that the proposed digital archiving system improves efficiency in recording, storing, and retrieving documents. By implementing this system, information access becomes faster, the risk of document loss is minimized, and storage space is optimized. Additionally, the system supports transparency and accountability in document management, which is essential for government institutions. With automated recording features and categorization based on document type and status, users can efficiently access and manage archives. Overall, digital archiving provides an effective solution for improving administrative quality and public service at the Department of Education and Culture of Bengkulu City, ensuring a more structured and secure document management process. Pengelolaan arsip surat masuk dan keluar secara manual di instansi pemerintahan sering menghadapi berbagai kendala, seperti kesulitan dalam pencarian dokumen, risiko kehilangan atau kerusakan arsip, serta keterbatasan ruang penyimpanan. Hal ini berdampak pada efisiensi kerja dan kelancaran administrasi. Penelitian ini bertujuan untuk merancang prototipe digitalisasi arsip surat masuk dan keluar di Dinas Pendidikan dan Kebudayaan Kota Bengkulu guna meningkatkan efisiensi pengelolaan dokumen. Metode penelitian yang digunakan adalah deskriptif kualitatif, mencakup studi literatur, analisis kebutuhan, perancangan sistem, serta evaluasi rancangan. Hasil penelitian menunjukkan bahwa sistem digitalisasi arsip yang dirancang mampu meningkatkan efisiensi dalam pencatatan, penyimpanan, dan pencarian dokumen. Implementasi sistem ini memungkinkan akses informasi yang lebih cepat, mengurangi risiko kehilangan arsip, serta mengoptimalkan penggunaan ruang penyimpanan. Selain itu, sistem ini mendukung transparansi dan akuntabilitas dalam pengelolaan dokumen, yang sangat penting bagi instansi pemerintahan. Dengan fitur pencatatan otomatis serta pengelompokan berdasarkan kategori dan status surat, pengguna dapat mengakses serta mengelola arsip dengan lebih mudah. Secara keseluruhan, digitalisasi arsip menjadi solusi efektif dalam meningkatkan kualitas administrasi dan pelayanan publik di Dinas Pendidikan dan Kebudayaan Kota Bengkulu, serta memastikan pengelolaan dokumen yang lebih terstruktur dan aman.
Analysis of Twitter Sentiment in Cases Of Domestic Violence Comparison of Lexion-Based and Niave-Bayes Ardi Wijaya; Rozali Toyib; Jestika Safitri; Anisya Sonita; Yulia Darnita
International Journal of Information Technology and Business Vol. 7 No. 1 (2024): November: International Journal of Information Techonology and Business
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/ijiteb.712024.01-08

Abstract

Twitter, a social media platform with millions of users, serves as a valuable source for unique insights. The case of Lestibillar domestic violence has garnered attention, fueling various circulating rumors that encompass positive, negative, and neutral opinions. This, in turn, gives rise to the potential spread of fake news. To counter this, sentiment analysis is employed using machine learning techniques. In this research, two machine learning algorithms within the realm of supervised learning are compared: lexicon-based and Naive Bayes. Sentiment objects are created for each algorithm to facilitate the comparison, aiming to determine which algorithm performs better in terms of accuracy. The results of the calculations indicate that Naive Bayes outperforms, achieving a superior accuracy of 99.96%, while the lexicon-based method lags significantly behind at 10.29%. The dominance of positive tweets is evident, comprising 2709 out of the total tweets on Twitter.
Co-Authors Andrian Kuor Nando Apridiansyah, Yovi Arif Setiawan Darnita, Yulia Daryono, Basofi Rachmadani Eka Sahputra Gilang Nurva Wijaya Gito Ardiansyah Jandri M.Siban Jestika Safitri Juni Hidayatullah Kristika Meza Werda Ling Beri Parima M Husni Rifqo Marchel Giovanni Marissa Utami Martiyas Tirtayo Miko Ansyori Muntahana Muntahana Muntahanah, Muntahanah Nindyawati Nindyawati Pahrizal Rhapico Emon Apriansya Rinaldi Rinaldi Rizki Hidayat Rohanan Yusuf Sonita, Anisya Tasya Rufaidah Tiara Dela Puspa Wijaya, Ardi