Garuda - Garba Rujukan Digital

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

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

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

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

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.

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

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 Kapasitas Karang Taruna melalui Edukasi Smart Farming Berbasis Artificial Intelligence Hanifatus Sa’diyah Widihasaniputri; Hamid Muhammad Jumasa; Varenshin Bebbil Kometo
Jurnal Pengabdian Masyarakat - PIMAS Vol. 5 No. 3 (2026): Agustus
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v5i3.2524

Karang Taruna Sedayu sebagai organisasi kepemudaan yang aktif dalam budidaya aloe vera masih mengelola pertanian secara konvensional tanpa pemanfaatan teknologi digital. Rendahnya literasi teknologi, khususnya terkait smart farming dan Artificial Intelligence (AI), menjadi kendala dalam meningkatkan efisiensi dan produktivitas pengelolaan tanaman. Kegiatan pengabdian ini bertujuan meningkatkan kapasitas dan literasi teknologi anggota Karang Taruna melalui edukasi smart farming berbasis AI. Metode pelaksanaan dilakukan secara partisipatif melalui observasi lapangan, edukasi konseptual di lahan, demonstrasi sistem di kelas, serta evaluasi menggunakan pre-test dan post-test terhadap 15 peserta. Hasil evaluasi menunjukkan peningkatan rata-rata skor dari 56 menjadi 81,6 dengan kenaikan sebesar 25,6 poin atau 45,7%. Peningkatan tertinggi terjadi pada pemahaman peran AI dalam pertanian dan keyakinan penerapan teknologi pada budidaya aloe vera. Kegiatan ini menunjukkan bahwa pendekatan edukatif dan kontekstual efektif dalam meningkatkan literasi teknologi dan membangun kesiapan adopsi smart farming pada tingkat komunitas, sehingga berpotensi mendorong transformasi pertanian yang lebih efisien dan berkelanjutan

Towards Robust Cross-Dataset Pothole Detection Through Multi-Dataset Pretraining Hanifatus Sa’diyah Widihasaniputri; Oddy Virgantara Putra; Murhadi Murhadi
International Journal of Advances in Data and Information Systems Vol. 7 No. 2 (2026): August 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i2.1551

Pothole detection based on deep learning has achieved high detection accuracy; however, most existing studies evaluate models using the same dataset for both training and testing, providing limited evidence of robustness under unseen data distributions. This study investigated the cross-dataset generalization capability of YOLOv8n using three publicly available pothole datasets with different visual characteristics: the Multi-Weather Pothole Dataset (MWPD), the Jaygala dataset, and the Andrew dataset. The proposed framework evaluated same-dataset and cross-dataset detection performance, quantified robustness through generalization gap analysis, examined the influence of dataset characteristics, and assessed the effectiveness of multi-dataset pretraining. Experimental results showed that the Andrew dataset achieved the highest same-dataset performance (mAP@50 = 0.816) but also exhibited the largest generalization gap (0.246), indicating limited robustness across datasets. In contrast, multi-dataset pretraining reduced the generalization gap for MWPD from 0.093 to 0.048, demonstrating improved cross-dataset robustness, although the improvement was not consistent across all datasets. These findings indicate that same-dataset accuracy alone is insufficient for evaluating model robustness and that cross-dataset evaluation provides a more realistic assessment of deployment performance in heterogeneous road environments.

Perancangan Sistem Monitoring Jaringan Internet Desa Menggunakan The Dude: Studi Kasus Pemerataan Akses Digital Dewi Chirzah; Hanifatus Sa'diyah Widihasaniputri
Jurnal Rekayasa Teknologi Informasi (JURTI) Vol 10, No 2 (2026): Jurnal Rekayasa Teknologi Informasi (JURTI)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jurti.v10i2.25365

Ketimpangan akses internet di wilayah pedesaan menjadi persoalan mendasar dalam pembangunan digital. Keterbatasan infrastruktur, kualitas layanan yang tidak stabil, dan ketiadaan sistem pemantauan menyebabkan masyarakat desa belum memperoleh akses digital yang merata. Berdasarkan kondisi tersebut, penelitian ini dilakukan dengan tujuan merancang sistem monitoring jaringan internet desa menggunakan perangkat lunak The Dude dan menguji efektivitasnya dalam mendukung pemerataan akses digital. Jenis penelitian yang digunakan adalah kuantitatif dengan pendekatan quasi-eksperimen. Sistem dipasang pada server lokal untuk merekam parameter teknis jaringan seperti latency, packet loss, throughput, dan availability . Data teknis dikumpulkan melalui log monitoring selama empat minggu. sementara data persepsi pengguna diperoleh melalui kuesioner berskala Likert kepada 30 responden. Data teknis dianalisis menggunakan statistik deskriptif untuk melihat tren performa jaringan, sedangkan data persepsi dianalisis melalui uji t berpasangan dan korelasi Pearson guna mengukur perubahan signifikan dan hubungan antara performa teknis dengan kepuasan pengguna. Hasil penelitian menunjukkan adanya penurunan latency dan packet loss serta peningkatan throughput dan availability secara konsisten. Persepsi pengguna juga meningkat signifikan terkait stabilitas dan pemerataan akses internet. Disimpulkan bahwa sistem monitoring berbasis The Dude efektif mendukung kualitas teknis dan sosial akses digital desa. Penelitian selanjutnya disarankan memperluas sampel lintas wilayah, memperpanjang periode monitoring, serta mengintegrasikan analitik prediktif berbasis machine learning.

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