Article Per Year (5 Year)
p-Index From 2021 - 2026
5.338
P-Index
This Author published in this journals
All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Transformatika Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Bakti Cendana: Jurnal Pengabdian Masyarakat INSERT: Information System and Emerging Technology Journal CENDEKIA : Jurnal Ilmu Pengetahuan Jurnal Dialektika Informatika (Detika) HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Journal Of Information And Technology Unimor (JITU) Transformasi Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat J-Icon : Jurnal Komputer dan Informatika Jurnal Pengabdian Masyarakat Bangsa Jurnal Inovatif Wira Wacana Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Genitri: Jurnal Pengabdian Masyarakat Bidang Kesehatan Jurnal Indonesia : Manajemen Informatika dan Komunikasi International Journal of Educational Technology and Society International Journal of Information Technology and Business Jurnal Sistem Informasi (JASISFO) Global Science: Journal of Information Technology and Computer Science
Tiwuk Widiastuti
Universitas Nusa Cendana
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences

Published : 45 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 45 Documents
Search

 1   2   3   4   5 
Integrating Semantic Computing and Predictive Analytics to Enhance Reliability and Scalability of Global Information Systems Agus Wantoro; Adhie Thyo Priandika; Tiwuk Widiastuti; Yulaikha Mar’atullatifah; Krisna Widi Nugraha; Dwi Utari Iswavigra
Global Science: Journal of Information Technology and Computer Science Vol. 1 No. 4 (2025): December: Global Science: Journal of Information Technology and Computer Scienc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v1i4.196

Abstract

Global information systems (GIS) are essential for managing large scale data across industries such as healthcare, finance, and urban planning. As the volume and complexity of data continue to grow, there is an increasing need for systems that can handle these demands while maintaining reliability and scalability. This research explores the integration of semantic computing and predictive analytics as a solution to improve the performance of GIS. Semantic computing, through the use of ontologies and standardized data models, enhances data interoperability, allowing systems to interpret and exchange data meaningfully across diverse platforms. On the other hand, predictive analytics uses statistical methods and machine learning models to forecast system behavior and optimize resource allocation, ensuring systems remain adaptive under varying loads. By integrating these two methodologies, this study demonstrates how they can address key challenges in global information systems, such as fault tolerance, system adaptability, and real time decision making. The results show significant improvements in system reliability and scalability, as well as better performance under high data volumes and diverse user interactions. The integrated approach was tested in several use cases, including urban planning, healthcare, and supply chain management, with results indicating that systems utilizing both semantic computing and predictive analytics are more resilient, accurate, and efficient. This paper discusses the practical implications of this integration for global scale applications and suggests future research directions, including the incorporation of emerging technologies like blockchain and artificial intelligence to further enhance the capabilities of GIS.
Resilience of Deep Q-Network (DQN) Agent in Mitigating Ethereum Trading Risks Under Bearish Market Conditions Fajri Adha; Tiwuk Widiastuti; Bertha Selvian Djahi
International Journal of Information Technology and Business Vol. 8 No. 2 (2026): April : 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.822026.28-34

Abstract

The high volatility of cryptocurrency assets, particularly Ethereum, poses a significant challenge for investors during market downturns. Traditional passive strategies often lead to substantial capital erosion in bearish conditions. This study explores the application of Deep Reinforcement Learning (DRL) through the Deep Q-Network (DQN) algorithm to develop an adaptive trading agent. By integrating technical indicators—Relative Strength Index (RSI), Simple Moving Average (SMA), and Moving Average Convergence Divergence (MACD)—the proposed model aims to optimize decision-making processes. Experimental results using historical data from 2020 to 2026 demonstrate that while the market experienced a significant decline of 19.55%, the DQN agent successfully maintained capital stability with a marginal deviation of only -0.54%. This finding suggests that the DQN-based approach offers superior risk mitigation and capital preservation capabilities compared to conventional buy-and-hold strategies in volatile financial environments.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PAKET PERNIKAHAN BERBASIS WEB MENGGUNAKAN METODE TOPSIS STUDI KASUS KOTA KUPANG Chinskim Louis Rohy; Tiwuk Widiastuti; Derwin R. Sina
CENDEKIA: Jurnal Ilmu Pengetahuan Vol. 6 No. 4 (2026)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/cendekia.v6i4.14586

Abstract

The rapid development of the wedding service industry in Kupang City creates specific challenges for prospective brides and grooms in determining packages that align with their budget allocation and specific needs. The absence of a digital platform with automatic recommendation features causes the vendor selection process to remain subjective and time-consuming. This research aims to develop a web-based Decision Support System (DSS) for selecting wedding packages in Kupang City by applying the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. This system is designed to assist prospective brides and grooms in determining the best choice based on several criteria, including food packages, decorations, documentation, makeup, attire, and amenities. The decision-making process begins with normalizing the decision matrix, assigning weights to each criterion, and calculating the distance between positive and negative ideal solutions to obtain a final ranking for each alternative. The system was developed using the PHP programming language and a MySQL database, implemented through an interactive web interface. The system was tested using User Acceptance Testing (UAT) on 15 respondents. Evaluation results showed a user satisfaction level of 82.28%. These results indicate that the system can provide accurate recommendations and is well-received by users. Thus, this system can improve efficiency and objectivity in the wedding package selection process in Kupang City. ABSTRAK Perkembangan industri jasa pernikahan di Kota Kupang yang semakin pesat menciptakan tantangan tersendiri bagi calon pengantin dalam menentukan paket yang sesuai dengan alokasi anggaran dan kebutuhan spesifik mereka. Ketiadaan platform digital yang memiliki fitur perekomendasi otomatis menyebabkan proses pemilihan vendor masih bersifat subjektif dan memakan waktu lama. Penelitian ini bertujuan untuk mengembangkan Sistem Pendukung Keputusan (SPK) berbasis web dalam pemilihan paket pernikahan di Kota Kupang dengan menerapkan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Sistem ini dirancang untuk membantu calon pengantin dalam menentukan pilihan terbaik berdasarkan beberapa kriteria, antara lain paket makanan, dekorasi, dokumentasi, make up, busana, dan kelengkapan. Proses pengambilan keputusan diawali dengan normalisasi matriks keputusan, pemberian bobot pada setiap kriteria, hingga perhitungan jarak solusi ideal positif dan negatif untuk memperoleh peringkat akhir setiap alternatif. Sistem dikembangkan menggunakan bahasa pemrograman PHP dan database MySQL, serta diimplementasikan melalui antarmuka web yang interaktif. Uji coba sistem dilakukan menggunakan metode User Acceptance Testing (UAT) terhadap 15 responden. Hasil evaluasi menunjukkan tingkat kepuasan pengguna sebesar 82.28%. Hasil ini menunjukkan bahwa sistem dapat memberikan rekomendasi yang tepat dan diterima dengan baik oleh pengguna. Dengan demikian, sistem ini mampu meningkatkan efisiensi dan objektivitas dalam proses pemilihan paket pernikahan di Kota Kupang.  
Pengamanan Citra Digital Terenkripsi Menggunakan Kombinasi Steganografi Bit Matching dan Kriptografi Cipher Feedback (CFB) dengan Pembangkit Bilangan Acak Linear Congruential Generator (LCG). Tiwuk Widiastuti
Jurnal Transformatika Vol. 21 No. 1 (2023): July 2023
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v21i2.6978

Abstract

In this study, the design and manufacture of an encrypted digital image security system was carried out by combining bit matching steganography and cryptographic cipher feedback (CFB) using a linear congruential generator (LCG) as a key generator. The test material used 60 message images measuring 120x120 pixels with 1 cover image measuring 64x64 pixels. The results of the study were obtained: (1) the image can be hidden but there is an increase in the size of the embedding file with an average difference of 459.1167 KB (kilobytes) or an increase of 2135.65%, (2) The image can be reconstructed, the physical image of the extraction result is the same as the original image with an MSE value = 0, but there is a change in size that varies with an average difference of 3.433333 KB (kilobytes) or by 16.20%,  (3) Some robust tests such as image rotation testing, brightness manipulation, addition of gaussian noise make the extracted image damaged. The image is resistant to all contrast tests. Salt and pepper noise testing does not damage the image too much, the image is still resistant to salt and pepper noise testing of 0.001 with an average MSE = 0
Penerapan Data Mining Dalam Strategi Bisnis Menggunakan Algoritma Apriori Putri E Bloemhard; Emerensye Sofia Yublina Pandie; Adriana Fanggidae; Nelci Dessy Rumlaklak; Tiwuk Widiastuti; Derwin Rony Sina; Yelly Yosiana Nabuasa
Jurnal Transformatika Vol. 22 No. 1 (2024): July 2024
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v22i1.10194

Abstract

Strategi yang diambil dalam mengelola bisnis kuliner sangat penting dalam memenangkan persaingan. Data transaksi penjualan dari Chicken Brotus selama tahun 2016 hingga 2023 memberikan gambaran penting mengenai pengelolaan strategi pemasaran dan manajemen persediaan. Dalam penelitian ini, algoritma Apriori digunakan untuk mencari hubungan antar item penjualan dalam satu dataset. Hasil pengujian terhadap 11.123 record data, dengan kombinasi nilai minimum support 8% dan minimum confidence 25% serta minimum support 10% dan minimum confidence 25%, menghasilkan pola analisis frekuensi dan aturan asosiasi. Analisis menunjukkan bahwa item terlaris adalah es teh jumbo dengan nilai support 46,5%. Selain itu, ditemukan bahwa jika konsumen membeli ayam geprek biasa komplit, maka 63,1% kemungkinan mereka juga akan membeli es teh jumbo. Hasil ini memberikan wawasan berharga bagi Chicken Brotus untuk mengembangkan strategi pemasaran dan pengelolaan persediaan yang lebih efektif dan efisien. Dengan demikian, Chicken Brotus dapat meningkatkan penjualan dan kepuasan pelanggan melalui strategi yang didasarkan pada data yang akurat dan analisis yang mendalam
Co-Authors Adi Sebastianus Molla Adriana Fanggidae Adriana Fanggidae Agus Setyobudi Agus Wantoro Ahmad Taufik Ardean Raflian Arfan Y Mauko Baun, Diandra Berlien Richard Bertha S. Djahi Bertha Selvian Djahi Bertha Selviana Djahi Bertha Selviana Djahi Bertha Veronika Da Silva Pinto Chinskim Louis Rohy D.M Sihotang Derwin R Sina Derwin R Sina Derwin R. Sina Derwin Rony Sina, Derwin Dewantoro Lase Djahi, Bertha S. Djahi, Bertha Selviana Dumanauw, Yesaya Evanmarch Dwi C Djahilape Dwi Utari Iswavigra Emerensye S. Y. Pandie Emerensye Sofia Yublina Pandie Emerensye Sofia Yublina Pandie Fajri Adha febby, jurgan Fios, Ignasius Kristoforus Siuk Firman Pratama Hanna Florenci Tapikap Immanuel K P Rini Inggrid Raga Djara Juan Rizky Mannuel Ledoh Kabosu, Maria Inansintia Elvira Kornelis Letelay Krisna Widi Nugraha Lehot, Fransisco Ronaldo Lestari, Ayu Triyuni Lete, Patrisius Remby Lobo, Franklin Anugrah Steveinson Mage, Marnon Yolinda Chrisma Manjaruni Maryo Indra Maria Louise Ludgardis Muku Marnon C. Y Mage Marselino K.P. Abdi Keraf Marylin S. Junias Meiton Boru Meiton Boru Meiton Boru Metkono, Denni Irvanto Missa, Wanto I Mola, Sebastian Adi Santoso Mola, Sebastianus Adi Santosa Mustakim Sahdan N.D Rumlaklak Naatonis, Djohan Rudolf Andriano Nelci D Rumlaklak Nelci Dessy Rumlaklak Nelcy Rumlaklak Ngefak, Videl Richard Nita Novita Non, Erwin T. W. Nunes, Ingratcia Pa, Bernard Jose Adrian Junio Ajilo Priandika, Adhie Thyo Putri E Bloemhard Ratu, Nalfayo Christian Romy O. D. Djami Rumlaklak, Nelci D. Safitri, Aisyah Rizki Sani, Michelle Sarinah Basri K Sebastianus A S Mola Sebastianus Adi Santoso Mola Sihotang, Dony Martinus Sina, Derwin R. Sintha Lisa Purimahua Suhada, Dimas Tabelak, Dion Stekiko Melfin Tarus, Karen N.V Tas'au, Emilia Thimothy Ariel Masangin Tokan, Diana Inda Carmilla Triyanto Umanailo, Ali Umasangadji, Fachry Muhammad yelly y nabuasa Yelly Yosiana Nabuasa Yoshua Patriot Thundericco Yulaikha Mar’atullatifah Yulianto Triwahyuadi Polly Yuliyanto T. Polly