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All Journal ABM: International Journal of Administration, Business and Management Jurnal Pengabdian Masyarakat JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia)
Abdul Wahid
Institut Teknologi Dan Sains Mandala
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Social Sciences

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Purchasing Decision Model, Product Quality And Service Quality On Consumer Satisfaction On The Shopee Application Marketplace In Jember Regency Angga, Angga Ade Permana; Sinrungtam , Wasana; Caesar Ananta Putra, Ihrom; Wahid, Abdul; Hasan, Zainul
ABM : International Journal of Administration, Business and Management Vol 6 No 1 (2024)
Publisher : Institut Teknologi dan Sains Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31967/abm.v6i1.1070

Abstract

Previous research is the most important thing in a research or scientific article. Previous research is useful for strengthening theories and phenomena that influence variables. This article reviews the factors that influence Product Quality and Service Quality on Purchasing Decisions and Consumer Satisfaction, a Marketing Management Literature Study. The purpose of writing this marketing management literature review article is to build a hypothesis that can be used in further research. The results of this library research are: 1) The Influence of Product Quality on Consumer Satisfaction; 2) The Influence of Service Quality on Consumer Satisfaction; 3) The Influence of Product Quality on Consumer Satisfaction; 4) The Influence of Service Quality on Consumer Satisfaction; 5) The Influence of Consumer Satisfaction on Purchasing Decisions;
Meningkatkan Literasi Teknologi melalui Webinar Pintu Gerbang Menuju Digital Hermansyah, Masud; Andita Prasetyo , Nur; Wahid, Abdul; Afreyna Fauziah, Difari; Muliawan, Agung
JURNAL PENGABDIAN MASYARAKAT (JPM) Vol 3 No 2 (2023)
Publisher : Institut Teknologi dan Sains Mandala

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Abstract

In the ever-evolving digital era, technology has become a major driving force in social, economic and educational change. Information and communication technologies (ICTs) have changed the way people work, communicate, and learn. As technology advances, it is important for individuals to have sufficient technological literacy to be able to participate actively in a digital society. The aim of this webinar is to provide an in-depth understanding of digital technology and teach practical skills in using it wisely. This webinar presents a series of topics related to digital technology, including digital transformation of Internet of Things (IoT) Technology in the Industrial World, Information Security Culture, and Computer and Network Security. By using the Zoom Video Communications application, webinar participants can easily participate from their respective locations, thus enabling broad participation and more flexibility for students to learn about technology. This webinar succeeded in increasing high school and vocational students' interest in the field of technology, as well as opening their insights about various career opportunities in the digital era. In addition, students also become more aware of the importance of ethics and responsibility in using technology, and are aware of its impact on society.
Pengenalan Bahasa Inggris di SDN Sugerkidul 3 Melalui Program English Time Abdul Wahid; H. P., Agustin,; Abdul Rohim, Muhamat; Ade Permana, Angga; Baharudin, Baharudin; Khairna, Almas; Avia Zulita, Nur; Labibah, Balgis; Alifandi Habi Saleh, Geo; Muqsitoh Alfatah, Aysha; Qurnia Wati , Novi; Maryam , Siti; Akbar Ramadani , Feril; Fighur Firmansyah , Moh.; Azizah , Nurdiana; Imamah Izzatul M , Nur
JURNAL PENGABDIAN MASYARAKAT (JPM) Vol 4 No 1 (2024)
Publisher : Institut Teknologi dan Sains Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31967/jpm.v4i1.987

Abstract

In the current era of globalization, almost all daily activities have begun to include the use of English, so it is considered necessary to have English language skills. Seeing this condition, English learning began to be given at a low level in formal education, namely elementary school. The same is the case with the English Time activities implemented at SDN Sugerkidul 3 by the Jember Collaborative KKN Group 220. This activity was carried out with the aim of introducing basic knowledge in English to students of SDN Sugerkidul 3. This research was conducted using descriptive qualitative methods because researchers try to describe the phenomena in the field broadly and thoroughly. Based on several considerations that have been made, this English Time activity is implemented using poster media and songs to make it easier for students to absorb and understand the learning provided during the activity. The media posters and songs are also expected to be used regularly and continuously by SDN Sugerkidul 3 itself. This English Time activity was also carried out because English is a subject that has just been added to the learning curriculum at SDN Sugerkidul 3. So this activity was chosen to make it easier for SDN Sugerkidul 3 to introduce this new subject. Keywords : English Time, Poster Media, Song Media
Analisis Kinerja Algoritma Machine Learning dalam Prediksi Harga Cryptocurrency Syarif Aminul Khoiri; Abdul Wahid
JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Vol. 9 No. 2 (2024): JUSTINDO
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/justindo.v9i2.1965

Abstract

Cryptocurrency has become an increasingly popular digital asset in recent years. However, cryptocurrency prices are highly volatile and difficult to predict due to being influenced by many factors such as market sentiment, regulations, and technological adoption. This study aims to analyze the performance of several popular machine learning algorithms in accurately predicting cryptocurrency prices. We evaluated four algorithms: Linear Regression, Random Forest, Support Vector Machine (SVM), and Long Short-Term Memory (LSTM) using historical price datasets of Bitcoin, Ethereum, and Litecoin. The data were analyzed by preprocessing steps such as normalization and splitting into training and testing sets. Evaluation metrics used were Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and prediction accuracy. The experimental results showed that the LSTM algorithm had the best performance in predicting cryptocurrency prices with the highest accuracy and lowest error, followed by SVM, Random Forest, and Linear Regression. Further analysis revealed that LSTM was able to capture patterns and trends in complex time series data.
Co-Authors Agung Muliawan Akbar Ramadani , Feril Alifandi Habi Saleh, Geo Andita Prasetyo , Nur Angga Ade Permana Avia Zulita, Nur Azizah , Nurdiana Baharudin Baharudin Caesar Ananta Putra, Ihrom Fauziah, Difari Afreyna Fighur Firmansyah , Moh. H. P., Agustin, Hermansyah, Masud Imamah Izzatul M , Nur Khairna, Almas Labibah, Balgis Maryam , Siti Muhamat Abdul Rohim Muqsitoh Alfatah, Aysha Qurnia Wati , Novi Sinrungtam , Wasana Syarif Aminul Khoiri Zainul Hasan