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All Journal Lingua Cultura Sistemasi: Jurnal Sistem Informasi JIKO (Jurnal Informatika dan Komputer) JURNAL REKAYASA TEKNOLOGI INFORMASI PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Justek : Jurnal Sains Dan Teknologi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Digital Zone: Jurnal Teknologi Informasi dan Komunikasi INTEK: Informatika dan Teknologi Informasi Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal Teknimedia: Teknologi Informasi dan Multimedia Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Bulletin of Computer Science Research Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat Akademika ABDIMASTEK Jurnal Pengabdian kepada Masyarakat (DIASYA)
Wahju Tjahjo Saputro
Universitas Muhammadiyah Purworejo
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Public Health Social Sciences Other

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Optimizing Business Process To Government Using Business Process Improvement (BPI) and Bizagi Modeler (Case Study: PT. XYZ) Pangga Cahyo Dwiyono; Murhadi Murhadi; Wahju Tjahjo Saputro; Miftahul Huda; Matthew Nepomuceno
Justek : Jurnal Sains dan Teknologi Vol 9, No 1 (2026): March
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v9i1.37752

Abstract

Business to Government (B2G) processes frequently suffer from inefficiencies caused by manual workflows and limited system integration. This study aims to enhance B2G business process performance at PT XYZ by applying the Business Process Improvement (BPI) approach using Business Process Model and Notation (BPMN) implemented through Bizagi Modeler. The research methodology involves analysing the existing process, designing an optimized process model, and conducting performance simulations based on processing time, operational costs, data accuracy, delay risk, and institutional satisfaction. The results indicate significant improvements, including a 41.7% reduction in processing time, a 26.7% decrease in operational costs, a 90% increase in data accuracy, a 40.9% reduction in delay risk, and an 85% improvement in institutional satisfaction. These findings demonstrate that the integration of BPI and BPMN effectively improves the efficiency and quality of B2G business processes in government procurement.
Utilization of ChatGPT and Artificial Intelligence in Educational Transformation: Trends, Challenges, and Effects on the Learning Process Bintang Fauzan Rayadika; Wahju Tjahjo Saputro; Dewi Chirzah; Zohaib Hassan Sain; Abdul Said Bin Ambotang
Justek : Jurnal Sains dan Teknologi Vol 9, No 1 (2026): March
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v9i1.37606

Abstract

This study aims to identify and analyse the relationship between the level of student dependence on Artificial Intelligence (AI) applications, particularly ChatGPT, and its impact on their critical thinking skills, in line with educational transformation issues in the digital era. This quantitative research employed a convenience non-probability sampling approach, involving 112 student respondents in Indonesia. Data were analysed using reliability tests, normality tests, and the Paired Sample T-test. The findings indicate a high level of ChatGPT usage (Mean Score, M = 4.12), confirming students' enthusiasm for utilizing the tool for learning effectiveness and time efficiency. However, the statistical test revealed a significant difference between the level of ChatGPT usage and students' critical thinking ability (Sig. (2-tailed) = 0.009 < 0.05). This difference suggests that excessive reliance on the tool has the potential to impede the development of social and collaboration skills, and may significantly reduce students' learning independence and critical thinking ability. The study concludes that educational institutions must promptly formulate wise policies to guide students in optimally utilizing AI as a learning assistant, not as a substitute for the thinking process to ensure a balanced and sustainable educational transformation.
INOVASI PENGHITUNGAN KENDARAAN PADA MANAJEMEN PARKIR DENGAN SENSOR INFRARED BERBASIS IOT Hanifatus Sa’diyah Widihasaniputri; Wahju Tjahjo Saputro; Hamid Muhammad Jumasa
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2025): Desember 2025
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v6i2.280

Abstract

Traffic and parking management are still major issues in urban areas. The average driver spends 7.8 minutes to find a parking space, and 30% of traffic congestion is caused by finding a parking space.This research focuses on designing a system that adopts infrared sensors and IoT to detect the number of vehicles in a smart parking system.The method used is the prototype method. The process starts with activating the device to monitor vehicles entering and leaving the parking area. Next, the detected vehicles will be checked, if the vehicle enters then the system automatically reduces the number of available parking slots. Conversely, if the vehicle exits, the system adds one slot to the number of available parking slots. the results of component testing carried out, found that all components, including infrared sensors, PIR sensors, LCDs, servo motors, and Arduino Uno R3 microcontrollers, have functioned properly. This is supported by the average system response delay test which only reaches 1.50 seconds and is included in the responsive category for smart parking systems
Co-Authors Abdul Fadlil Abdul Said Bin Ambotang Achmad, Lukman Ade Davy Wiranata Arum Ratnaningsih Arum Ratnaningsih Athallah, Mustafa Iffat Shafi Aviani, Anggi Bambang Priyo Darminto Bintang Fauzan Rayadika Chirzah, Dewi Dewi Chirzah Dewi Chirzah Dimas Yunianto Herbowo Erni Seniwati Haidarrafiyan Perdanakusuma Hanifatus Sa’diyah Widihasaniputri Hanifatus Sa’diyah Widihasaniputri Hermansah, Lutfi Hesti Wulan Sari Hidayatullah, Ridwan Huwae, Hans Andriano Pradana Ike Yunia Pasa Indra Ardiansyah Jayanti Putri Purwaningrum Jumasa, Hamid Muhammad Krisna Widatama Laely Triana Lestari, Widya Ayu Matthew Nepomuceno Miftahul Huda Muchlas Muhammad Faisal Natsir Asrofi Murhadi Murhadi Murhadi Murhadi Murhadi Murinto Murinto Murinto Nia Ekawati, Nia Pangga Cahyo Dwiyono Puspa Dewi Riawan Yudi Purwoko Risma Hardini Ruzaini, Hafidz Shofwan Hanief Singgih Arif Widodo Teguh Wibowo Tresnawati, Shandy Tusino Tusino Wahyu Miftakhul Huda Widiati, Wahyu Eka Widihasaniputri, Hanifatus Sa’diyah Wuri Setyowardani Zohaib Hassan Sain