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All Journal Building of Informatics, Technology and Science International Journal of Community Service International Journal Of Computer, Network Security and Information System (IJCONSIST) Journal Of Information System And Artificial Intelligence
Taqwa Prasetyaningrum, Putri
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Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Sistem Rekomendasi Pemilihan Mobil Honda Menggunakan Metode Fuzzy MCDM (Multi Criteria Decision Making) (Studi Kasus: Honda Perkasa Klaten) Angraini Susanti , Herlina; Taqwa Prasetyaningrum, Putri
Journal Of Information System And Artificial Intelligence Vol. 5 No. 1 (2024): Vol. 5 No. 1 (2024): Vol. 5 No. 1 (2024): Journal of Information System and Art
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v5i1.222

Abstract

Kendaraan, terutama mobil, telah menjadi kebutuhan pokok yang penting bagi masyarakat modern. Mobil dipilih untuk beraktivitas karena dapat menampung lebih dari satu penumpang, menawarkan kenyamanan berkendara, dan melindungi penggunanya dari cuaca buruk. Namun, saat membeli mobil, konsumen sering dihadapkan pada berbagai kriteria yang mempengaruhi keputusan pembelian, seperti berat mobil, kapasitas penumpang, ukuran mesin, daya maksimum, dan harga. Hal ini seringkali mempersulit konsumen dalam menentukan pilihan mobil yang tepat. Penelitian ini membahas proses rekomendasi mobil yang paling sesuai dengan kebutuhan konsumen menggunakan metode Fuzzy Multi-Criteria Decision Making (FMCDM). Metode ini mengolah data spesifikasi mobil untuk menghasilkan rekomendasi yang optimal bagi konsumen. Hasil dari penelitian ini diharapkan dapat membantu calon pembeli mobil dalam memilih mobil yang paling sesuai dengan kriteria mereka, sehingga mempermudah proses pengambilan keputusan. Dengan demikian, penelitian ini berkontribusi dalam memberikan solusi praktis dan efisien bagi konsumen dalam menentukan pilihan mobil yang tepat.
Analisis dan Perancangan Website E-Business Undangan Pernikahan Digital Fauzan, Nabil; Manurung, Syalom Kristian; Pradana Saputra, Fendi; Taqwa Prasetyaningrum, Putri
Journal Of Information System And Artificial Intelligence Vol. 5 No. 1 (2024): Vol. 5 No. 1 (2024): Vol. 5 No. 1 (2024): Journal of Information System and Art
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v5i1.228

Abstract

Menyatukan dua insan dalam ikatan cinta bukanlah sekadar perayaan, tapi lambang harmoni dan kebersamaan. Di era digital ini, "Jadi Satu" hadir sebagai solusi inovatif untuk mengabadikan momen sakral tersebut melalui undangan pernikahan digital yang elegan dan terjangkau. Melalui platform "Jadi Satu", calon pengantin dapat memilih dari beragam desain berkelas, menyesuaikan kata-kata undangan sesuai keinginan, dan mengirimkannya ke seluruh penjuru dunia dengan hanya beberapa klik. Menghemat waktu, kertas, dan biaya, "Jadi Satu" turut berkontribusi terhadap langkah awal kehidupan berkeluarga yang ramah lingkungan dan efisien. Website "Jadi Satu" dirancang dengan antarmuka intuitif dan user-friendly, memungkinkan siapapun, terlepas dari keahlian teknologi, untuk berkreasi dengan mudah. Fitur unggulan seperti galeri desain tematik, editor teks fleksibel, dan RSVP online, memastikan pengalaman menyusun undangan yang menyenangkan dan tak terlupakan. Lebih dari sekadar undangan, "Jadi Satu" berkomitmen menjadi bagian dari perjalanan cinta.
Enhanced Decision Making Using Multi Factor Evaluation Process for Innovative Product Selection Subagyo, Ibnu Rivansyah; Taqwa Prasetyaningrum, Putri
IJCONSIST JOURNALS Vol 5 No 2 (2024): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v5i2.118

Abstract

The process of selecting innovative products can be complex and challenging due to the multiple factors involved. This study explores an enhanced decision-making approach using the Multi-Factor Evaluation Process (MFEP) to assist in selecting the most suitable product among alternatives. The MFEP methodology evaluates products based on various criteria and assigns weightings to each factor according to its significance. In this research, three innovative products—SkyWater, HORNET, and BPP-4D—are evaluated. The evaluation considers critical performance indicators and calculates a final score for each product. The results indicate that SkyWater has the highest evaluation score, followed by HORNET and BPP-4D, providing insights into their relative suitability for recommendation. This paper demonstrates the effectiveness of the MFEP in facilitating objective decision-making in the selection of innovative products.
Virtual Reality Therapy (VRT) Intervention in Guidance and Counseling Services to Create Violence-Free Schools Aryani, Eka; Amat, Salleh; Taqwa Prasetyaningrum, Putri; Hadi, Abdul; Tuzzuhroh Nurbaiti, Anifa
International Journal Of Community Service Vol. 5 No. 3 (2025): August 2025 (Indonesia - Rusia - Malaysia)
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijcs.v5i3.891

Abstract

School violence, such as bullying and intimidation, remains a crucial issue with a serious impact on student well-being, despite various preventative measures. Conventional guidance and counseling services, which often employ methods such as lectures and group discussions, are considered ineffective in fostering empathy and providing a deeper understanding of the impact of violence. To address this gap, an innovative intervention called Virtual Reality Therapy (VRT) was proposed and implemented. VRT uses realistic simulations, allowing students to experience violent scenarios from multiple perspectives: as victims, perpetrators, and witnesses. The program includes training for guidance and counseling teachers, VR content creation workshops, and implementation support, aimed at improving their technical skills and readiness to adopt the technology. Evaluations using pretests and posttests showed significant improvement. This improvement demonstrates that VRT is an effective and transformative tool for creating safer and more violence-free school environments.
Analisis Perbandingan Model ARIMA dan Exponential Smoothing dalam Meramalkan Harga Penutupan Saham Abdul Aziz, Arif Rahman; Taqwa Prasetyaningrum, Putri
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7246

Abstract

The stock market is one of the most sought-after investment instruments due to its high profit potential. However, significant fluctuations in stock prices also bring considerable risks, which are influenced by various factors such as macroeconomic conditions, government policies, company financial reports, and market sentiment. Therefore, stock price analysis and forecasting have become important aspects for investors and market participants in making more accurate investment decisions. This research focuses on the stock of PT Indosat Ooredoo Hutchison Tbk (ISAT), which shows high volatility, particularly following a sharp decline in stock prices in late February 2025, which was suspected to be triggered by discrepancies between financial reports and analysts' expectations.The main objective of this study is to compare two commonly used time series forecasting methods, namely Autoregressive Integrated Moving Average (ARIMA) and Exponential Smoothing, in predicting the closing price of ISAT stock. This research uses daily stock price data from October 28, 2022 to March 27, 2025, which is then analyzed to identify patterns in the movement of stock prices. Based on the analysis, it was found that both forecasting methods have their respective strengths and limitations. The ARIMA method is more accurate in handling stationary data, while Exponential Smoothing is more adaptive to fluctuating stock prices.The results of this study are expected to provide insights for investors in selecting the appropriate method to predict stock price movements with high volatility and help make smarter investment decisions as well as more effective risk management strategies.
Co-Authors Abdul Aziz, Arif Rahman Abdul Hadi Amat, Salleh Angraini Susanti , Herlina Eka Aryani, Eka Fauzan, Nabil Manurung, Syalom Kristian Pradana Saputra, Fendi Subagyo, Ibnu Rivansyah Tuzzuhroh Nurbaiti, Anifa