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All Journal Jurnal Ilmu Komputer dan Informasi TEKNOLOGI INFORMASI Jurnal Teknologi Informasi dan Ilmu Komputer SMARTICS Journal INOVTEK Polbeng - Seri Informatika SENTIA 2016 SENTIA 2015 Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Teknologi Informasi dan Terapan (J-TIT) Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Abdimasku : Jurnal Pengabdian Masyarakat Best : Journal of Applied Electrical, Science and Technology BHAKTI PERSADA Jurnal Aplikasi IPTEKS (Journal of Applied Sciences and Technology) MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal INFOTEL Jurnal Informatika Polinema (JIP) International Journal of Integrated Science and Technology Jurnal Pengabdian Kepada Masyarakat
Rahmad, Cahya
Politeknik Negeri Malang
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Implementasi Optical Character Recognition (OCR) untuk Meningkatkan Akurasi dan Kecepatan Input Data di Posyandu Amelia Marshanda; Harijanto, Budi; Rahmad, Cahya
Jurnal Informatika Polinema Vol. 11 No. 1 (2024): Vol. 11 No. 1 (2024)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v11i1.6025

Abstract

Posyandu adalah salah satu lembaga kesehatan masyarakat yang membutuhkan pengumpulan dan pemrosesan data yang efisien dan akurat untuk keperluan pemantauan dan evaluasi. Namun, proses pengumpulan data di Posyandu saat ini masih dilakukan secara manual dengan mengetikkan informasi langsung ke dalam sistem, yang rentan terhadap kesalahan dan memakan waktu cukup lama. Penelitian ini bertujuan untuk mengembangkan sistem yang mempermudah kader Posyandu dalam proses penginputan data dengan menerapkan teknologi Optical Character Recognition (OCR). Teknologi OCR digunakan untuk mengenali karakter dari teks yang ditulis tangan atau dicetak menjadi format digital yang dapat diproses oleh komputer. Pengujian sistem dilakukan dengan menggunakan data dari alat ukur digital untuk mengukur akurasi dan efisiensi waktu pemrosesan. Hasil pengujian menunjukkan bahwa sistem yang dikembangkan mampu mendeteksi karakter pada alat ukur digital dengan rata-rata akurasi sebesar 82% pada jarak 10 cm di dalam ruangan. Selain itu, rata-rata waktu yang dibutuhkan untuk pemrosesan gambar adalah 2,65 detik per gambar. Berdasarkan hasil tersebut, penerapan teknologi OCR dalam sistem informasi Posyandu terbukti dapat meningkatkan efisiensi penginputan data dengan mempercepat proses dan mengurangi potensi kesalahan.
Comparative Analysis of Convolutional Neural Network (CNN) Architectures in Classification of Cattle and Pig Rambaks Haryono Haryono; Cahya Rahmad; Banni Satria Andoko
International Journal of Integrated Science and Technology Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i5.1793

Abstract

Rambak crackers are one of the food ingredients that have the characteristics of expansion and crispy texture. The general public often faces difficulties in distinguishing between pork and beef rambak crackers that have been processed, so it is important to rely on technology, especially artificial intelligence (AI), to help distinguish between them. This study was conducted to compare the capabilities of several CNN architectures in classifying images of pork and beef rambak crackers. The results of the study showed that the Xception architecture had the highest accuracy rate in classifying pork and beef rambak crackers, with an average accuracy rate of 98.24%.
PowerPoint slideshow navigation control with hand gestures using Hidden Markov Model method Rahmad, Cahya; Arief Prasetyo; Riza Awwalul Baqy
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 1 (2022): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v12i1.7-18

Abstract

Gesture is the easiest and most expressive way of communication between humans and computers, especially gestures that focus on hand and facial movements. Users can use simple gestures to communicate their ideas with a computer without interacting physically. One form of communication between users and machines is in the teaching and learning process in college. One of them is the way the speakers deliver material in the classroom. Most speakers nowadays make use of projectors that project PowerPoint slides from a connected laptop. In running the presentation, the speaker needs to move a slide from one slide to the next or to the previous slide. Therefore, a hand gesture recognition system is needed so it can implement the above interactions. In this study, a PowerPoint navigation control system was built. Digital imaging techniques use a combination of methods. The YCbCr threshold method is used to detect skin color. Furthermore, the morphological method is used to refine the detection results. Then the background subtraction method is used to detect moving objects. The classification method uses the Hidden Markov Model (HMM). With 526 hand images, the result shows that the accuracy of the confusion matrix is 74.5% and the sensitivity is 76.47%. From the accuracy and sensitivity values, it can be concluded that the Hidden Markov Model method can detect gestures quite well as a PowerPoint slide navigation control.
Design and Simulation Sag Tension of a 20kV Power System with 150kV Tower Infrastructure in Marabahan City with Monte Carlo method Alviando Wisang , Muhammad; Noor Hidayat, Mohamad; Rahmad, Cahya; surya Wijaya, Wldan
BEST Vol 7 No 1 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol7.no1.10234

Abstract

Rumpiang Bridge is a vital object and requires special handling for voltage installation; therefore, a construction that is capable of spanning a wide area is needed, where the construction obtained is the 150 kV HV construction, and for the cable span, it is simulated using the Monte Carlo method for the analysis of cable crossing deflection in Barito Kuala, with three types of cables, namely ACSR, AAAC, and AAACS. The simulation was carried out 1000 times by considering random variations of ±10% in cable weight and tensile force and ±5% in the crossing length. The results show that ACSR and AAAC cables have low average deflections, 3.24 meters and 3.26 meters, respectively, with standard deviations of 0.33 meters and 0.32 meters, indicating stable and consistent mechanical performance. While the AAACS cable shows a higher average deflection of 4.72 meters and a standard deviation of 0.48 meters, indicating a greater variation in deflection due to its physical characteristics. All three cables meet the technical requirement of maximum deflection <30 meters, but ACSR cable is recommended as the primary choice due to its combination of low deflection and high stability, which provides a greater safety margin in extreme crossing environmental conditions.
APLIKASI PERMAINAN ‘FIX YOU’ SEBAGAI PENGENALAN MENTAL HEALTH TERHADAP ANAK PANTI ASUHAN Sukmana, Septian Enggar; Cahya Rahmad; Annisa Puspa Kirana; Moch. Zawaruddin Abdullah; Bagas Satya Dian Nugraha; Subhan Indra Prayoga
Jurnal Pengabdian kepada Masyarakat Vol. 12 No. 1 (2025): JURNAL PENGABDIAN KEPADA MASYARAKAT 2025
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v12i1.5012

Abstract

Lack of education and knowledge about mental illness in Indonesia leads to wrong handling of its sufferers. To raise public awareness epescially for orphan, there is a need for an educational medium that is easily accessible and attractive. One solution is to use games, because this medium is more interesting and interactive. A visual novel game with a light storyline and interesting characters can provide education on how to deal with people with potential mental illness. This game uses fuzzy logic to generate different endings based on the player's dialogue choices. The results of the test on 53 respondents showed an average interpretation of 87.36% on the Likert scale, which indicates that this game is highly accepted by users.
Media Informasi Masjid Sebagai Sarana Standarisasi Informasi Masjid Attharuf Kepada Masyarakat Rahmad, Cahya; Sukmana, Septian Enggar; Annisa Puspa Kirana; Moh. Zawaruddin Abdullah; Vivin Ayu Lestari; Triana Fatmawati
Jurnal Pengabdian kepada Masyarakat Vol. 12 No. 1 (2025): JURNAL PENGABDIAN KEPADA MASYARAKAT 2025
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v12i1.7466

Abstract

Mosques play a vital role as centers of worship and socio-religious activities. However, information dissemination often goes unnoticed, even when shared through messaging applications. Baital Ma'ruf Mosque in Malang Regency faces similar challenges. Therefore, a mosque information display system was implemented. This community service program aims to standardize information and make it easier for mosque administrators to update content in real-time. The results of this initiative show that 85% of congregants feel it's now easier to get information. The Baital Ma'ruf Mosque administrators have responded very positively, affirming that this mosque information system brings significant benefits to both congregants and the wider community, making it an innovative solution for the mosque's digital transformation.
Pelatihan Desain Kreatif untuk Pengembangan Landing Page Website Interaktif PRM Arbuka Sukmana, Septian Enggar; Cahya Rahmad; Annisa Puspa Kirana; Moh. Zawaruddin Abdullah; Vivin Ayu Lestari; Triana Fatmawati
Jurnal Pengabdian kepada Masyarakat Vol. 12 No. 1 (2025): JURNAL PENGABDIAN KEPADA MASYARAKAT 2025
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v12i1.7467

Abstract

This Community Service Program aimed to enhance the capacity of the board members of Pimpinan Ranting Muhammadiyah (PRM) Arbuka in managing interactive information media through creative design training for the development of a website landing page. The main problem identified was the suboptimal dissemination of organizational information to members and the surrounding community, due to the limitations of previously used social media platforms and the absence of an integrated publication medium. The training activities included understanding visual design principles, user experience (UX) design, and hands-on practice in website content creation. Evaluation results indicated that 92% of participants found the training materials to be highly relevant to the organization’s needs.
Co-Authors A. Shabrina Afrah Ade Putra Lesmana Affandi, Luqman Afrah, A. Shabrina Ahmad Alfian Alfian Ahya, Anugrah Vito Alviando Wisang , Muhammad Amanda Patria Putra Amelia Marshanda Ananta, Ahmadi Yuli Andriani Parastiwi Anik N. Handayani Annisa Puspa Kirana Annisa Puspa Kirana Anugrah Nur Rahmanto Anugrah Vito Ahya Ariadi Retno Tri Ariadi Retno Tri Hayati Ririd Arie Rachmad Syulistyo Arief Prasetyo Arief Prasetyo Arwin Datumaya Wahyudi Sumari Asrori Asrori Astiningrum, Mungki Bagas Satya Dian Nugraha Banni Satria Andoko Banni Satria Andoko Banni Satria Andoko Bayu Hari Saputro Ba’ar Wasil Razzaq Budi Harijanto, Budi Cahyono, Lulus Okta Candra Bella Vista Deddy Kusbianto Devi Zettyara Dewandaru, Fajar Dika Rizky Yunianto Dika Rizky Yunianto, Dika Rizky Dika Rizky Yuninanto Dimas Rossiawan Hendra Putra Dimas Wahyu Wibowo Dodo Zulkarnain DWI PUSPITASARI Dwi Puspitasari Dwi Puspitasari Eko Hendri S Eko Yudiyanto Ekojono Ekojono Erfan Rohadi Erlangga Adha Widyatama Faisal Rahutomo Fajar Dewandaru Febriyanto, Nugroho Frangky Tupamahu Hapsari, Indri Tri Haryono Haryono Hendra Pradibta Hendrawan, Muhammad Afif Ika Oktavia Pristisari Imam Fahrur Rozi Indri Tri Hapsari Inta Widiastuti Kris Witono Laras Palupi P Lesmana, Ade Putra Marcelina Alifia Rahmawati Martin Nugroho Parapat Maula, Ahmad Zaky Moch Zawaruddin Abdullah Moch. Febry Ramadhani Moch. Zawaruddin Abdullah Moh. Zawaruddin Abdullah Muhammad Bisri Musthafa Ngatmari Ngatmari Noor Hidayat, Mohamad Nugroho Febriyanto Nur Afifi, Yunis Fiatin Nurudin Santoso Palupi P, Laras Parapat, Martin Nugroho Pradibta, Hendra Pramana Yoga Saputra Pramana Yoga Saputra Pristisari, Ika Oktavia Putra, Amanda Patria Rahmat Satrio Wibowo Ramadhani, Moch. Febry Razzaq, Ba’ar Wasil Riza Awwalul Baqy Riza Awwalul Baqy Rosa A. Asmara Rosa Andrie Asmara Rosiani, Ulla Delfana Rudy Ariyanto Santoso, Nurudin Saputro, Bayu Hari Satworo Adiwidodo Septian Enggar Sukmana Septian Enggar Sukmana, Septian Enggar Shoumi, Milyun Ni’ma Subhan Indra Prayoga surya Wijaya, Wldan Tri, Ariadi Retno Triana Fatmawati Vandry Eko Haris Setiyanto Vivin Ayu Lestari Widiastuti, Inta Yan Watequlis Syaifudin Yudistira Eka Putra Yuninanto, Dika Rizky Yuri Ariyanto Yuri Ariyanto Zulkarnain, Dodo