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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.
Image Optimization of Ancient Arabic Manuscripts with a Combination of Image Enhancement and Sharpening Hanifatus S. Widihasaniputri; Wahju Tjahjo Saputro; Dewi Chirzah
SMART : Jurnal Teknologi Informasi dan Komputer Vol. 4 No. 1 (2025): January-June
Publisher : Gayaku Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Ancient manuscripts are rare collections owned by every nation in theworld. The contents of a written text or document often also provideinformation on aspects of the nation's culture of the community concerned.Various efforts have been made to conserve these cultural objects, such asdigitizing manuscripts into digital images. This study aims to improve theimage of the ancient Arabic script using image enhancement and sharpeningmethods. The image enhancement used in this study is the gamma methodand the log transformation method combined using the sharpening method.The results showed that the sharpening method could improve the legibilityof an ancient manuscript.
Analisis Spasial Keterjangkauan Jarak Layanan dan Pola Persebaran Lembaga Pendidikan Menggunakan Buffering dan Nearest Neighbor Analysis Widya Ayu Lestari; Wahju Tjahjo Saputro; Hanifatus Sa’diyah Widihasaniputri
Bulletin of Computer Science Research Vol. 6 No. 2 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i2.1014

Abstract

Equitable access to religious educational services is strongly influenced by the spatial distribution and service coverage of educational institutions. However, the growth of educational facilities is not always accompanied by balanced spatial planning, which can lead to accessibility disparities. This study aims to analyze service accessibility and spatial distribution patterns of educational institutions in Tlogomulyo District, Temanggung Regency, using a Geographic Information System (GIS) based quantitative descriptive analysis approach. Service accessibility was assessed using buffer analysis with a 500-meter radius, referring to neighborhood-scale educational facility service standards outlined in SNI 03-1733-2004, representing a reasonable service distance within rural settlement contexts, while spatial distribution patterns were examined using Nearest Neighbor Analysis (NNA) implemented in QGIS. The results indicate that most residential areas are within the service coverage of educational institutions, although several locations remain underserved. The NNA index value of 0.93 with a z-score of ?0.79 at a significance level of ? = 0.05 suggests a weak clustered distribution pattern that is not statistically significant at the 95% confidence level. These findings indicate that the spatial distribution of educational institutions tends to follow settlement patterns but has not yet achieved spatial equity. This study highlights the importance of GIS-based spatial analysis as a decision-support tool for planning and optimizing the distribution of religious educational services to promote equitable access within the study area.
Analisis Klasterisasi Wilayah Berdasarkan Tingkat Kepadatan Penduduk Menggunakan Algoritma K-Means Berbasis Sistem Informasi Geografis Mustafa Iffat Shafi Athallah; Wahju Tjahjo Saputro; Ike Yunia Pasa
Bulletin of Computer Science Research Vol. 6 No. 2 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i2.1015

Abstract

This study aims to analyze and map the population density of regencies and municipalities in Jawa Tengah using a spatial analysis approach based on Geographic Information Systems (GIS) and the K-Means clustering algorithm. The main issue addressed is the lack of systematically classified and informative population density mapping to support spatial analysis and regional decision-making. Secondary data were obtained from the Central Bureau of Statistics (BPS), including total population, population growth rate, population percentage, population density per square kilometer, and administrative boundary spatial data. Prior to clustering, all variables were normalized using the Min-Max scaling method to prevent bias caused by differences in variable ranges in Euclidean distance calculations. The research employed a quantitative descriptive method with K-Means (K=3) to classify regions into low, medium, and high population density clusters. The results indicate that out of 35 regencies/municipalities, 7 regions (20%) fall into the high-density cluster, 22 regions (62.86%) into the medium-density cluster, and 6 regions (17.14%) into the low-density cluster. The implementation of the clustering results into a thematic map using a color scheme of red (high), yellow (medium), and green (low) effectively visualizes spatial distribution patterns, thereby supporting data-driven regional planning and spatial-based policy formulation.
Analisis Prioritas Distribusi Pupuk Bersubsidi untuk Ketepatan Sasaran Menggunakan Skoring Berbasis Sistem Informasi Geografis Hans Andriano Pradana Huwae; Wahju Tjahjo Saputro; Murhadi Murhadi
Bulletin of Computer Science Research Vol. 6 No. 2 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i2.1016

Abstract

The distribution of subsidized fertilizer plays an important role in supporting agricultural productivity; however, its implementation at the regional level still faces mismatches between allocation and actual land requirements. This study aims to determine the priority of subsidized fertilizer distribution for paddy agricultural land in Central Java Province using a scoring method based on Geographic Information Systems (GIS). The variables applied in this study include harvested area, land productivity, and elevation. The data used are secondary data obtained from the Central Statistics Agency (BPS) for the period 2022–2024. The scoring process was conducted using Microsoft Excel with a five-level ordinal scale and equal weighting for each variable. The scoring results were then integrated with spatial analysis using QGIS to produce thematic maps of fertilizer distribution priorities. The results indicate that each regency in Central Java Province has a different priority level, which is classified into low, medium, and high priority categories. Out of 35 regencies/cities analyzed, 17 regions (48.57%) were classified as high priority, 11 regions (31.43%) as medium priority, and 7 regions (20%) as low priority. Validation results show that most high-priority areas also receive relatively large amounts of subsidized fertilizer, although some discrepancies remain due to policy considerations and regional characteristics. This study demonstrates that a GIS-based scoring method can be used as a supporting tool for planning and evaluating subsidized fertilizer distribution in a more objective and spatially informed manner.
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
Peningkatan Pemahaman Mikrokontroler Melalui Pelatihan Arduino pada Siswa Rekayasa Perangkat Lunak SMK YPKK 1 Sleman Ade Davy Wiranata; Shofwan Hanief; Wahju Tjahjo Saputro; Murinto; Muchlas
Jurnal Pengabdian kepada Masyarakat (DIASYA) Vol. 2 No. 1 (2026): Jurnal Pengabdian Kepada Masyarakat (DIASYA)
Publisher : Rumah Jurnal PT Citra Air Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71200/diasya.v2i1.219

Abstract

Kegiatan Progam Pemberdayaan Umat (PRODAMAT) ini bertujuan untuk meningkatkan pemahaman dan keterampilan mikrokontroler siswa Rekayasa Perangkat Lunak (RPL) kelas XII SMK YPKK 1 Sleman. Latar belakang kegiatan ini didasari kebutuhan SMK YPKK 1 Sleman terhadap penguasaan teknologi embedded system sebagai bagian penting dari perkembangan industri dan teknologi digital, seperti Internet of Things dan otomasi. Namun, pembelajaran mikrokontroler di tingkat SMK masih menghadapi keterbatasan, baik dari sisi fasilitas, metode pembelajaran, maupun integrasi antara perangkat lunak dan perangkat keras. Pelatihan Arduino melibatkan 33 siswa RPL kelas XII, didampingi oleh narasumber yang kompeten di bidangnya. Metode pelatihan mengkombinasikan ceramah, demonstrasi, praktik langsung, dan diskusi interaktif. Materi pelatihan meliputi pengenalan konsep dasar mikrokontroler, penggunaan Arduino IDE, pemrograman dasar, perakitan rangkaian sederhana. Untuk mengukur efektivitas kegiatan, dilakukan evaluasi melalui pre-test dan post-test serta penilaian hasil praktik siswa. Hasil yang diharapkan dari kegiatan ini adalah meningkatnya pemahaman konseptual dan keterampilan praktis siswa dalam bidang mikrokontroler, meningkatnya minat dan motivasi belajar siswa terhadap teknologi embedded system.
Pengembangan Smart Lighting Berbasis ESP32 dan Blynk untuk Mendukung Smart Village Wahju Tjahjo Saputro; Hamid Muhammad Jumasa; Murhadi
Jurnal Informatika Komputer, Bisnis dan Manajemen Vol 24 No 2 (2026): Mei 2026
Publisher : LPPM STMIK El Rahma Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61805/fahma.v24i2.205

Abstract

Efficient public lighting infrastructure plays a crucial role in supporting the development of smart villages. However, conventional street lighting systems are often energy-intensive and difficult to monitor and control remotely. This study aims to develop an Internet of Things (IoT)-based smart lighting system using the ESP32 WROOM microcontroller and the Blynk platform. The system was developed following the ADDIE framework, which consists of Analysis, Design, Development, Implementation, and Evaluation stages. The hardware components include an ESP32 WROOM DevKitC v4, a PZEM-004T v3 power monitoring module, a 2-channel optocoupler relay, and a smartphone. The software environment comprises Arduino IDE, Fritzing, EasyEDA, and Blynk as the user interface. Experimental results demonstrate that the proposed system can effectively monitor and control public lighting in real time through a smartphone from any location. The system exhibited fast response times, stable operation, and the potential to reduce electricity consumption by 23.33%. These findings indicate that the proposed solution effectively supports modern and energy-efficient smart village infrastructure while providing a low-cost, reliable, and easily deployable smart lighting model.