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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 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

Abstract

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
COMPARATIVE ANALYSIS OF PERFORMANCE EVALUATION FOR STROKE RISK PREDICTION BASED ON CLINICAL DATA Alya Masitha; Hamid Muhammad Jumasa; Wellie Sulistijanti; Kresna Ardy Bayuaji
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8458

Abstract

Stroke is one of the leading causes of death and disability worldwide, requiring an accurate machine learning-based risk prediction approach to support early detection. This study aims to conduct a comparative evaluation of three supervised learning algorithms, namely Naïve Bayes, Random Forest, and SVM, in predicting stroke risk. The clinical dataset used consisted of 5,110 patients. Model evaluation was performed using the Stratified 5-Fold Cross Validation method, a cross-validation technique that divides the data into five subsets while maintaining the class proportions in each fold. Each subset is alternately used as test data, while the other subset is used as training data, so that all data can be used as training data and test data. Model performance was measured using accuracy, confusion matrix, and AUC-ROC metrics to assess classification performance. The results showed that Random Forest achieved the best performance with an accuracy of 95%, followed by Naïve Bayes at 86% and SVM at 75%. Based on the AUC-ROC evaluation, Random Forest also showed the most optimal performance with a value of 0.80, indicating excellent classification ability. Random Forest is the most effective algorithm in predicting stroke risk in the dataset used, so it has the potential to be the best method used to support the early stroke detection 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.
Manajemen Bandwidth Berbasis QoS untuk Optimasi Jaringan di LKSA Muhammadiyah Purworejo Fajar Ponco Adi Wibowo; Hamid Muhammad Jumasa; Murhadi Murhadi
JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Vol. 4 No. 2 (2026): Juni 2026
Publisher : Cipta Media Harmoni

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53624/jsitik.v4i2.820

Abstract

Latar Belakang: LKSA Yatim Muhammadiyah Purworejo memanfaatkan jaringan komputer dan internet untuk pembelajaran, administrasi, serta layanan fotokopi. Namun, belum adanya manajemen bandwidth menyebabkan distribusi kecepatan internet tidak merata dan koneksi kurang stabil, terutama saat lalu lintas padat, sehingga layanan penting terganggu. Tujuan: Penelitian ini bertujuan menerapkan Quality of Service (QoS) dengan teknik Per Connection Queue (PCQ) guna meningkatkan pemerataan dan stabilitas koneksi internet. Metode: Penelitian menggunakan pendekatan Network Development Life Cycle (NDLC) yang mencakup analisis, desain, simulasi, implementasi, monitoring, dan manajemen. Jaringan dibagi ke dalam tiga subnet: laboratorium, tata usaha, dan fotokopi. Konfigurasi dilakukan pada router Mikrotik dengan PCQ classifier, mangle rules, serta prioritas untuk aplikasi penting. Pengujian dilakukan sebelum dan sesudah penerapan menggunakan Speedtest dan parameter QoS (throughput, packet loss, delay, jitter) berdasarkan standar TIPHON. Hasil: Sebelum penerapan QoS, ruang fotokopi mendominasi penggunaan bandwidth dengan unduh 29,35 Mbps, sedangkan laboratorium dan tata usaha hanya 8,10 Mbps dan 6,97 Mbps. Setelah penerapan, distribusi bandwidth lebih merata dengan hasil fotokopi 1,94 Mbps, laboratorium 2,51 Mbps, dan tata usaha 3,95 Mbps. Parameter QoS juga membaik dengan throughput lebih seimbang, packet loss mendekati 0%, delay rendah (0,96–1,02 ms) dan jitter stabil. Kesimpulan: Penerapan QoS melalui PCQ terbukti efektif menjaga kualitas jaringan sesuai standar TIPHON.
Enhancing Mathematical Critical Thinking Skills through the Integration of Ethnomathematics, Augmented Reality, Artificial Intelligence, and Deep Learning: A Mixed-Methods Study Heru Kurniawan; Nila Kurniasih; Muhammad Hamid Jumasa; Marzia Khatan Smita
Jurnal Iqra' : Kajian Ilmu Pendidikan Vol. 11 No. 1 (2026): Jurnal Iqra' : Kajian Ilmu Pendidikan
Publisher : Institut Agama Islam Ma'arif NU (IAIMNU) Metro Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25217/ji.v11i1.6673

Abstract

Critical thinking skills remain an urgent necessity in mathematics education, particularly in 21st-century learning contexts. Conventional teaching practices have proven insufficient in promoting these skills, requiring innovative approaches that integrate technology and culture. This study examines the effectiveness and practicality of mathematics learning integrating Ethnomathematics, Augmented Reality (AR), Artificial Intelligence (AI), and Deep Learning (DL).Employing a mixed-method design with sequential explanatory approach, the research involved junior high school students in Purworejo, Indonesia. The quantitative phase applied a quasi-experimental one-group pretest-posttest design to measure critical thinking improvement, while the qualitative phase explored teachers' and students' perceptions through interviews, observations, and response questionnaires. Quantitative results showed a significant increase in students' critical thinking ability (t = 4.126, p < 0.05) with an N-Gain score of 73%, categorized as high. Qualitative findings revealed positive responses: teachers considered the model innovative, feasible, and aligned with curriculum goals, while students reported higher engagement, clearer understanding of abstract concepts, and stronger motivation to learn mathematics. The integration proved most effective in enhancing interpretation and evaluation skills among critical thinking components. The integration of Ethnomathematics, AR, AI, and DL proved both effective and practical in fostering critical thinking. These findings demonstrate the potential of culture-based learning combined with advanced technological support to prepare students for future challenges.
Pelatihan Teknologi Fiber Optik Melalui Program TKJ Go Broadband untuk Mendukung Infrastruktur Internet Cepat di SMK Muhammadiyah Purworejo Hamid Muhammad Jumasa; Dewi Chirzah
Jurnal Pengabdian Masyarakat - PIMAS Vol. 5 No. 2 (2026): Mei
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v5i2.2488

Abstract

Perkembangan teknologi komunikasi digital telah mendorong peningkatan kebutuhan akan infrastruktur jaringan berkecepatan tinggi, di mana fiber optik menjadi solusi utama karena memiliki kapasitas bandwidth besar, stabilitas tinggi, serta latensi rendah. Teknologi ini mendukung transformasi digital dan pembangunan masyarakat gigabit, sekaligus menjadi fondasi jaringan masa depan seperti F5G. Namun, pesatnya perkembangan teknologi jaringan optik belum sepenuhnya diimbangi dengan kesiapan sumber daya manusia, khususnya pada pendidikan vokasi. Studi ini mengkaji kesenjangan kompetensi antara kebutuhan industri telekomunikasi dan kemampuan guru serta siswa pada program Teknik Komputer dan Jaringan (TKJ) di SMK Muhammadiyah Purworejo. Hasil analisis kebutuhan menunjukkan bahwa pembelajaran masih berfokus pada jaringan konvensional berbasis kabel tembaga, sementara penguasaan teknologi fiber optik masih terbatas pada aspek teoritis tanpa didukung praktik langsung. Selain itu, keterbatasan fasilitas pendukung seperti perangkat penyambungan dan pengukuran serta belum tersedianya modul praktikum FTTx menjadi kendala utama. Oleh karena itu, dilakukan program pengabdian kepada masyarakat berupa pelatihan dan pendampingan berbasis praktik yang meliputi Training of Trainers (ToT) bagi guru dan pelatihan teknis bagi siswa, seperti penyambungan serat optik, pemasangan konektor, dan pengukuran redaman jaringan. Program ini bertujuan untuk meningkatkan kompetensi teknis peserta serta mendukung pengembangan pembelajaran berbasis teknologi jaringan modern di lingkungan SMK. Hasil kegiatan menunjukkan bahwa pelatihan berbasis praktik mampu meningkatkan pemahaman dan keterampilan peserta dalam teknologi fiber optik, sehingga dapat memperkecil kesenjangan antara dunia pendidikan dan kebutuhan industri.