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All Journal Publikasi Pendidikan CommIT (Communication & Information Technology) JTERA (Jurnal Teknologi Rekayasa) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat International Journal of Applied Technology Research
Hertog Nugroho
Politeknik Negeri Bandung
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics

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Pengembangan Aplikasi Desktop untuk Sistem Informasi Laporan Kemajuan Siswa pada SLB Negeri Cinta Asih Soreang Ferry Satria; Hertog Nugroho; Usman Hanafi; Mina Naidah Gani; Griffani Megiyanto R; Rifa Hanifatunnisa; Maya Rahayu; Nila Novita Sari
Publikasi Pendidikan Vol 11, No 3 (2021)
Publisher : Prodi PGSD FIP UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/publikan.v11i3.24600

Abstract

Kegiatan pemantauan hasil belajar dengan laporan hasil pencapaian kompetensi peserta didik menjadi agenda rutin semester oleh para guru kepada para peserta didik. Laporan hasil pencapaian belajar ini bermanfaat agar orang tua dapat memantau perkembangan anak dan sebagai refleksi kegiatan belajar mengajar bagi guru. Pada SLBN Cinta Asih Soreang, pencatatan laporan hasil pencapaian kompetensi peserta didik masih dilakukan secara konvensional, yaitu guru mencatatkannya dalam aplikasi Ms. Word atau Excel. Hal tersebut menimbulkan beberapa masalah, yaitu sulitnya pengisian nilai rapor oleh guru, sulitnya pelacakan data nilai siswa dan keamanan data rapor siswa yang mudah sekali untuk disalin oleh pihak-pihak luar yang tidak berkepentingan. Guna mengatasi permasalahan tersebut, diperlukan sistem digitalisasi laporan hasil pencapaian belajar siswa. Adapun solusi yang diusulkan adalah pengembangan aplikasi desktop untuk sistem informasi laporan kemajuan siswa pada SLBN Cinta Asih Soreang. Input yang digunakan pada aplikasi tersebut terdiri dari kategori identitas siswa, nilai kualitas, dan nilai kuantitas akan diproses menyesuaikan format dengan laporan akademik yang telah ada. Proses lainnya adalah penyimpanan arsip data ke dalam database. Hasilnya lebih dari 75% peserta merasa aplikasi ini bermanfaat dan untuk penggunaan kedepannya lebih dari 52% peserta yakin akan menggunakan aplikasi desktop ini sedangkan sisanya berpendapat akan menggunakan aplikasi jika dilakukan beberapa perbaikan.
Perancangan Aplikasi Pengumpulan Data Statistik Penguasaan Bola Berbasis Background Subtraction Muhammad Yusuf Fadhlan; Hertog Nugroho; Luthfiana Adam Maldini
JTERA (Jurnal Teknologi Rekayasa) Vol 6, No 2: December 2021
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v6.i2.2021.329-340

Abstract

Pada pertandingan sepakbola, penguasaan bola menjadi suatu penilaian dan bahan evaluasi yang menunjukan peluang untuk mencetak. Perhitungan penguasaan bola dilakukan dengan menghitung waktu dari total waktu pertandingan secara manual. Meskipun hanya garis besar penilaian dari pertandingan sepakbola, masih banyak sekali kesalahan dalam menulis statistik pertandingan karena kesalahan manusia, khususnya di Indonesia. Untuk mangatasi masalah tersebut, pada penelitian ini dibuat sebuah aplikasi pengumpulan data statistik penguasaan bola menggunakan background subtraction. Beberapa frame pada rekaman pertandingan sepakbola diambil untuk dibuat background referensi lalu dilakukan proses substraksi dengan frame pada saat pertandingan berlangsung. Hasil substraksi tersebut kemudian akan membentuk rectangular border yang sisi-sisi nya mengindikasikan objek terluar yang terdeteksi. Posisi rectangular tersebut akan dibedakan menjadi lima kondisi yang menentukan statistik penguasaan bola. Hasil pendeteksian tersebut dibandingkan dengan penilaian manusia untuk menilai akurasi pendeteksian. Hasil dari penelitian ini adalah prototipe berupa aplikasi sebagai penerapan metode background subtraction. Berdasarkan hasil penelitian yang telah dilakukan diperoleh akurasi pendeteksian sebesar 91%. Sebagian besar kesalahan terjadi karena objek diam terlalu lama yang membuat objek tersebut menjadi background dan tidak terdeteksi oleh sistem.
Assisting the Installation of Wireless Network Devices at Bina Tani Mulya Al-Muhajidin Boarding School Usman Hanafi; Sutrisno Sutrisno; TB Utomo; Vitrasia Vitrasia; Enceng Sulaiman; Hertog Nugroho
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 3, No 1 (2022): REKA ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v3i1.62-69

Abstract

The rapid development of Information and Communication Technology (ICT) can be utilized to improve the quality of services in the world of education. Bina Tani Mulya Al Mujahidin Foundation Boarding School Junior High School (YBTMA) previously did not have ICT infrastructure, especially hotspot or access point services. Based on this, it was necessary to provide assistance to design the installation of Microtik hotspot and access point devices, as well as human resource training to use and maintain these devices so that they could be utilized as much as possible. The installation of hotspot devices and access points was carried out on November 9, 2019, while the training was carried out on November 16-17 2019. This program received positive responses from the program recipients. Our strategy of deploying internet access supporting tools, which was then followed by a briefing of theory and practice, was well received.
Web-based Online Application for Information System of Student Report Card at SLBN Cinta Asih Soreang Ferry Satria; Hertog Nugroho; Mina Naidah Gani; Usman Hanafi; Rifa Hanifatunnisa; Hanny Madiawati; Maya Rahayu; Nila Novita Sari; Taufik Irfan
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 3, No 3 (2022): REKA ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v3i3.177-185

Abstract

Monitoring learning outcomes in the form of report cards of competencies from students is a routine agenda of teachers to students in each semester. SLBN Cinta Asih Soreang in collaboration with the Politeknik Negeri Bandung Community Service prgram since 2021 has developed a student report card desktop application.This application has been run and successfully implemented, but not all devices are compatible to run the application. In addition, filling out reports can only be done at school because the desktop application storage can only be stored in a local area. In order to overcome these problems, it is necessary to develop an online-based system for digitizing student achievement reports. The proposed solution is the development of a Web-based online application for an information system for student progress report cards at SLBN Cinta Asih Soreang. The result reveals that more than 90% of participants feel this application is useful and can be utilized in the future.
Nighttime Motorcycle Detection for Sparse Traffic Images Using Machine Learning Pov Vandeth; Jimmy Tirtawangsa; Hertog Nugroho
CommIT (Communication and Information Technology) Journal Vol. 17 No. 1 (2023): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v17i1.8443

Abstract

Traffic accidents often occur at night. It is understandable, since at night, people have low visibility. Many efforts to develop tools to detect nearby vehicles to avoid crashes have been reported. However, most of them worked only on detecting cars. The research aims to detect motorcycles at night, to complement the previous studies, which mainly focused on cars. The research introduces four features which are extracted from the red pixel and edge map. The algorithm to extract the features has also been developed. They are applied to three commonly used classifiers: Artificial Neural Network (ANN), Decision Tree, and Support Vector Machine (SVM) classifiers to validate the effectiveness of the features. Since the public dataset related to the research is not available yet, the nighttime videos from YouTube have been collected. The datasets contain all the various levels of darkness. They are divided into an 80-20 ratio for training and testing sets to support the experiment and measure the validity of the proposed method. As the best result, the detection using ANN can detect motorcycle proposals with accuracy of 72.71%, precision of 65.10% and recall of 73.33%. Furthermore, during the experiment, the classification can perform consistently in 0.04 seconds per image. Therefore, the method is suitable for use in a real-time system.
Detection of Empty/Occupied States of Parking Slots in Multicamera system using Mask R-CNN Classifier Hertog Nugroho; Ginanjar Suwasono Adi; Muhammad Khoer Afandi
Jurnal Internasional Penelitian Teknologi Terapan Vol 4 No 1 (2023): April 2023
Publisher : Bandung State Polytechnic (Politeknik Negeri Bandung)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/ijatr.v4i1.114

Abstract

A fast growth of vehicles in big cities has an impact of arising road loads and difficulty of finding empty parking spaces. One solution to cope with the problem is to develop a parking management system which can provide useful information of available parking spaces to the potential users. This paper discusses about a new multicamera arrangement and the function to evaluate the empty/occupied states of the parking slots, as an alternative solution to the existing single camera system, The system adopted Mask R-CNN for its classifier, because of its capability to provide the polygon outputs for its detected objects, compared with the existing bounding box outputs provided by other classifiers. The proposed function has optimized the available information from all cameras, by considering the relative position of each camera to the parking spaces, and also capable of overcoming occlusion problem occurs in some cameras, The experiment shows that the capability of overcoming the occlusion problem has been validated, and its performance to evaluate the empty/occupied states of the parking slots was better than the single camera system to a certain threshold.
Training on CCTV Use and Maintenance at SLB Purnama Asih Hertog Nugroho; Usman B Hanafiah; Hanny Madiawati; Taufik Irfan; Ferry Satria; Rifa Hanifatunnisa; Nila Novita Sari
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 4, No 3 (2023): REKA ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v4i3.223-231

Abstract

SLB Purnama Asih is a Special Education School in the Ciwaruga area, just behind the Bandung State Polytechnic campus. There are now 49 students and eight teachers, including the Principal. With a huge number of students and the situation of children who require special monitoring, a monitoring system that can assist instructors in monitoring students in their activities and interactions at school is required. It is important to design and construct a Closed Circuit Television  (CCTV) security system at several school locations to address this. CCTV installation in schools can assist in increasing security and identifying possible threats or criminal activity. It can also assist the school in taking action in an emergency. The procedure that will be followed is installing and training the CCTV security system. The training strategy that will be used is to provide theoretical and practical information. The survey data from 12 respondents, using the Likert approach, revealed that this system was in the excellent range, with a percentage of 96.67%.
Co-Authors Enceng Sulaiman Ferry Satria Ginanjar Suwasono Adi Griffani Megiyanto Rahmatullah Hanifatunnisa, Rifa Hanny Madiawati Jimmy Tirtawangsa Luthfiana Adam Maldini Maya Rahayu Mina Naidah Gani Muhammad Khoer Afandi Muhammad Yusuf Fadhlan Nila Novita Sari Pov Vandeth Sutrisno Sutrisno Taufik Irfan TB Utomo Usman B Hanafiah Usman Hanafi Vitrasia Vitrasia