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APLIKASI INFORMASI DAN PEMESANAN TIKET TRAVEL BERBASIS ANDROID (Studi Kasus: Syahputra Tour & Travel) Sari, Eka Nugraha; Sari, Marti Widya; Fairuzabadi, Muhammad
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 1 No. 1 (2022): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Syahputra Tour & Travel masih menggunakan cara konvensional dalamkegiatan pemesanan tiket serta pencarian jadwal keberangkatan seorang calonpenumpang,yaitumelaluiOutlet/LoketdanViaTeleponsaja.Caratersebutkurangefektifbaikdarisegiwaktumaupunbiayakarenabisaterjadiketidaksesuaian antara keinginan pelanggan dalam hal jam pemberangkatan ataubahkan tiketnya sudah terjual habis. Sehingga diperlukan aplikasi informasi danpemesanan tiket travel yang dapat memberikan informasi yang jelas serta tidakterbatas oleh jarak dan waktu dengan menggunakan media website atau mobile.Penelitian ini bertujuan untuk membangun aplikasi informasi dan pemesanan tikettravelberbasisandroid. Tahappengembanganaplikasimeliputianalisis,perancangansistem,implementasi, dan pengujian. Metode pengumpulan data dengan menggunakanmetodestudipustaka,wawancara,danobservasi.Aplikasiinformasidanpemesanan tiket travel berbasis android dibangun dengan bahasa pemrogramanPHPdan databaseMySQL. Aplikasiinformasidanpemesanantikettravelberbasisandroidyangdibuat dapat memberikan informasi travel dan pemesanan tiket. Sehingga dapatmemudahkan pelanggan untuk mengakses informasi dan pemesanan tiket traveldikarenakan tingkat efektifitas dan efisiensi fungsi dari mobile itu sendiri. Hasilpengujian sistem menunjukkan bahwa aplikasi ini layak dan dapat digunakansebagai alat untuk memberikan informasi dan untuk pemesanan tiket travel diSyahputra Tour &Travel.

Decision Support System for Prospective Scholarship Recipients Using SMARTER and Forward Chaining Method Muhammad Fairuzabadi; Agustia Rizki, Joyanda; Oyama, Sunggito
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 2 No. 1 (2023): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

The purpose of this research is to design and build a web-based decision support system application to determine prospective scholarship recipients at MAN 2 Yogyakarta and test its reliability. The Decision Support System is a problem solving system with supporting tools. This system can solve problems using algorithm methods. One of the decision support system methods that can be applied to scholarship cases at MAN 2 Yogyakarta is the Simple Multi-Attribute Rating Technique Exploiting Ranks (SMARTER) method and forward chaining. The SMARTER method is a decision support method by determining the criteria and sub-criteria and their weight using the ROC (Rank Order Centroid). Meanwhile, the forward chaining method is a search method or a forward tracking technique that starts with existing information and combines rules to produce a conclusion or goal. The advantages of the DSS that have been developed are as follows. (1) The DSS built can be used by the scholarship selection team to recommend students who have the potential to get scholarships more quickly and objectively (2) The DSS for prospective scholarship recipients that was developed uses two methods of calculation, namely the Simple Multi-Attribute Rating Technique Exploiting Ranks (SMARTER) and Forward Chaining methods, so that the prediction results are better and faster. The SMART method emphasizes more detailed criteria and the Forward Chaining Method allows for a faster selection process.

E-Learning Curriculum Thematic Rejodadi Elementary School Use Method UML-Based Hybrid Elsya Amalia, Aqbrila; Fairuzabadi, Muhammad; Wardani, Setia; Nor Azhari Azman, Mohamed
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 2 No. 1 (2023): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

The Ministry of Education and Culture of the Republic of Indonesia regulates regulation to education through the determination of SNP ie National Education Standards. The curriculum used in education in Indonesia is Curriculum 2013. Thematic integrated is a Suite implementation in the learning process using Curriculum 2013. Integrated thematic learning is learning by integrating several lesson contents into a theme. Rejodadi Elementary School is one institution with moderate education development moment this is working To always increase the quality of Good activity and service. The moment This Rejodadi Elementary School currently faces the Covid-19 pandemic, where is the learning process teach done fully online or online at home? There is online application or e-learning of course become a challenge alone for SD Rejodadi which was affected plague. The PHP programming language and MYSQL database are used in building system this. Method data collection using method studies literature, observation, and interviews. Based on matters, the author wants to create and design something E-learning application about material and questions For Rejodadi Elementary School students. Study This will take the title “E-Learning Curriculum Rejodadi Elementary School Thematic Use Hybrid-Based UML Methods.

APLIKASI INFORMASI DAN PEMESANAN TIKET TRAVEL BERBASIS ANDROID (Studi Kasus: Syahputra Tour & Travel) Sari, Eka Nugraha; Sari, Marti Widya; Fairuzabadi, Muhammad
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 1 No. 1 (2022): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v1i1.3211

Syahputra Tour & Travel masih menggunakan cara konvensional dalamkegiatan pemesanan tiket serta pencarian jadwal keberangkatan seorang calonpenumpang,yaitumelaluiOutlet/LoketdanViaTeleponsaja.Caratersebutkurangefektifbaikdarisegiwaktumaupunbiayakarenabisaterjadiketidaksesuaian antara keinginan pelanggan dalam hal jam pemberangkatan ataubahkan tiketnya sudah terjual habis. Sehingga diperlukan aplikasi informasi danpemesanan tiket travel yang dapat memberikan informasi yang jelas serta tidakterbatas oleh jarak dan waktu dengan menggunakan media website atau mobile.Penelitian ini bertujuan untuk membangun aplikasi informasi dan pemesanan tikettravelberbasisandroid. Tahappengembanganaplikasimeliputianalisis,perancangansistem,implementasi, dan pengujian. Metode pengumpulan data dengan menggunakanmetodestudipustaka,wawancara,danobservasi.Aplikasiinformasidanpemesanan tiket travel berbasis android dibangun dengan bahasa pemrogramanPHPdan databaseMySQL. Aplikasiinformasidanpemesanantikettravelberbasisandroidyangdibuat dapat memberikan informasi travel dan pemesanan tiket. Sehingga dapatmemudahkan pelanggan untuk mengakses informasi dan pemesanan tiket traveldikarenakan tingkat efektifitas dan efisiensi fungsi dari mobile itu sendiri. Hasilpengujian sistem menunjukkan bahwa aplikasi ini layak dan dapat digunakansebagai alat untuk memberikan informasi dan untuk pemesanan tiket travel diSyahputra Tour &Travel.

Decision Support System for Prospective Scholarship Recipients Using SMARTER and Forward Chaining Method Muhammad Fairuzabadi; Agustia Rizki, Joyanda; Oyama, Sunggito
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 2 No. 1 (2023): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v2i1.4647

The purpose of this research is to design and build a web-based decision support system application to determine prospective scholarship recipients at MAN 2 Yogyakarta and test its reliability. The Decision Support System is a problem solving system with supporting tools. This system can solve problems using algorithm methods. One of the decision support system methods that can be applied to scholarship cases at MAN 2 Yogyakarta is the Simple Multi-Attribute Rating Technique Exploiting Ranks (SMARTER) method and forward chaining. The SMARTER method is a decision support method by determining the criteria and sub-criteria and their weight using the ROC (Rank Order Centroid). Meanwhile, the forward chaining method is a search method or a forward tracking technique that starts with existing information and combines rules to produce a conclusion or goal. The advantages of the DSS that have been developed are as follows. (1) The DSS built can be used by the scholarship selection team to recommend students who have the potential to get scholarships more quickly and objectively (2) The DSS for prospective scholarship recipients that was developed uses two methods of calculation, namely the Simple Multi-Attribute Rating Technique Exploiting Ranks (SMARTER) and Forward Chaining methods, so that the prediction results are better and faster. The SMART method emphasizes more detailed criteria and the Forward Chaining Method allows for a faster selection process.

E-Learning Curriculum Thematic Rejodadi Elementary School Use Method UML-Based Hybrid Elsya Amalia, Aqbrila; Fairuzabadi, Muhammad; Wardani, Setia; Nor Azhari Azman, Mohamed
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 2 No. 1 (2023): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v2i1.5044

The Ministry of Education and Culture of the Republic of Indonesia regulates regulation to education through the determination of SNP ie National Education Standards. The curriculum used in education in Indonesia is Curriculum 2013. Thematic integrated is a Suite implementation in the learning process using Curriculum 2013. Integrated thematic learning is learning by integrating several lesson contents into a theme. Rejodadi Elementary School is one institution with moderate education development moment this is working To always increase the quality of Good activity and service. The moment This Rejodadi Elementary School currently faces the Covid-19 pandemic, where is the learning process teach done fully online or online at home? There is online application or e-learning of course become a challenge alone for SD Rejodadi which was affected plague. The PHP programming language and MYSQL database are used in building system this. Method data collection using method studies literature, observation, and interviews. Based on matters, the author wants to create and design something E-learning application about material and questions For Rejodadi Elementary School students. Study This will take the title “E-Learning Curriculum Rejodadi Elementary School Thematic Use Hybrid-Based UML Methods.

Comparative Analysis Of Artificial Intelligence Models For User Behavior Prediction In Big Data-Driven Information Systems Faqihuddin Al Anshori; Muhammad Fairuzabadi; Mohd Nawi, Mohd Nasrun
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.8428

In the era of digital transformation, Artificial Intelligence (AI) plays a pivotal role in enabling intelligent, data-driven information systems. This study presents a comprehensive comparative analysis of AI models: Decision Tree (DT) and Artificial Neural Network (ANN), for user behavior prediction within simulated big data environments, specifically in the e-commerce domain. Using 1,000 synthetic sessions that mimic real-world user activities, the study evaluates model performance using classification metrics such as accuracy, precision, recall, and F1-score. ANN outperforms DT across all metrics, achieving 87.2% accuracy and demonstrating superior learning efficiency and generalization. To complement the evaluation, a Long Short-Term Memory (LSTM) model is employed for time-series prediction, yielding a low MAPE of 1.12%, confirming its effectiveness in capturing sequential patterns. The findings offer valuable insights into AI model selection for adaptive and predictive information systems, with implications for developers and researchers seeking to enhance system responsiveness and personalization.

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