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Journal : El-Mujtama: Jurnal Pengabdian Masyarakat

Penerapan Aplikasi Klasifikasi Hukum Tajwid Menggunakan Image Processing Kindarya, Fabyan; Kusumaningtyas, Entin Martiana; Barakbah, Aliridho; Permatasari, Desy Intan; Al Rasyid, M. Udin Harun; Ramadijanti, Nana; Fariza, Arna; Syarif, Iwan; Sa'adah, Umi; Saputra, Ferry Astika; Ahsan, Ahmad Syauqi; Sumarsono, Irwan; Yunanto, Andhik Ampuh; Edelani, Renovita; Primajaya, Grezio Arifiyan; Kusuma, Selvia Ferdiana
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 4 No. 2 (2024): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v4i2.1930

Abstract

Tajwid is an important science that regulates the way of reading the verses of the Al-Qur’an properly. Learning Tajwid means knowing the meaning that corresponds to the correct recitation. Learning to read the Al-Qur’an tends to be done traditionally in a place of learning or by calling a teacher to the house. Learning in this way has some drawbacks, such as the limited availability of trained and competent teachers because not all areas have sufficient access to these teachers. Dependence on schedules and locations can be a constraint for students with limited mobility or busy schedules. The role of the teacher is still important in learning tajwid, especially in providing effective explanations, guidance, and feedback. However, to overcome these shortcomings, integration with independent and technology-based learning methods can help improve the accessibility, flexibility, and quality of tajwid learning. The classification of tajwid laws using image processing allows users to see the results of inputting images of verses of the Al-Qur’an into the type of detected nun sukun tajwid and how to recite it. The initial stage of this system in detecting tajwid laws from uploaded images is the input of images by users, which can be done in two ways, namely by directly taking pictures using a smartphone camera or uploading images from the gallery. This is followed by the OCR process to detect the Arabic text contained in the image and provide diacritics for that Arabic text. Finally, letter classification is carried out after nun sukun and classification of tajwid laws contained in accordance with the detected letters after nun sukun. This system has an accuracy rate of 92.18% from the classification results that have been carried out.
Implementasi Sistem Antrian Online dan On-site di Kelurahan Gebang Putih Surabaya untuk Meningkatkan Efisiensi Layanan Publik Aziz, Adam Shidqul; Mubtadai, Nur Rosyid; Permatasari, Desy Intan; Saputra, Ferry Astika; Syarif, Iwan; Fariza, Arna; Al Rasyid, M. Udin Harun; Kusuma, Selvia Ferdiana; Sumarsono, Irwan; Ahsan, Ahmad Syauqi; Sa'adah, Umi; Yunanto, Andhik Ampuh; Primajaya, Grezio Arifiyan; Edelani, Renovita; Ramadijanti, Nana; Khoirunnisa, Asy Syaffa; Alfaqih, Wildan Maulana Akbar; Al Falah, Adam Ghazy
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 5 No. 2 (2025): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v5i2.6239

Abstract

Digitalization is an important step in improving the efficiency of public services, particularly in managing queues in government institutions such as sub-district offices. Kelurahan Gebang Putih Surabaya faces significant challenges in managing its manual queue system, which often results in discomfort for the public due to long waiting times, exceeding 5 minutes. This reduces public satisfaction and causes inefficiencies in the queue process. To address this issue, this study aims to develop and implement a digital queue system that can be accessed both online and on-site, using the User-Centered Design (UCD) approach. This approach ensures that every aspect of the system's design and development focuses on user needs through an iterative process, where the design is adjusted based on direct feedback from users. The proposed solution in this study includes the creation of a mobile and website-based queue system, allowing the public to easily take a queue number online and also enabling quick on-site queueing with a wait time of less than 10 seconds. Another advantage of this system is its automated reporting feature, which facilitates documentation and queue reports, thereby accelerating administration and monitoring to the city government. The results show that the implementation of this system significantly reduces the queue-taking time from over 5 minutes to less than 10 seconds, successfully transforming the manual system into a more efficient digital system, and streamlining the reporting process to the government, which in turn improves the quality and satisfaction of public services.
Pengembangan dan Implementasi Chatbot Pelayanan Masyarakat Berbasis Dialogflow di Kelurahan Gebang Putih Surabaya Nailussa’ada, Nailussa’ada; Martono, Hero Yudo; Yunanto, Andhik Ampuh; Wibowo, Prasetyo; Santoso, Dian Septiani; Prasetyaningrum, Ira; Humaira, Fitrah Maharani; Khoirunnisa, Asy Syaffa; Alfaqih, Wildan Maulana Akbar; Al Falah, Adam Ghazy
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 5 No. 1 (2025): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v5i1.6262

Abstract

Residents of Gebang Putih, Surabaya, often face challenges in accessing administrative information, such as procedures for creating ID cards, updating family data, and registering for marriage. To address these issues, a chatbot based on Dialogflow was developed and integrated with the Telegram platform and a mobile application called Kagapi. This study included data collection from official government websites, interviews with local office staff, and dataset preparation for chatbot training. The results showed that the chatbot achieved a 92% accuracy rate in understanding and responding to user queries, with an average response time of 2-3 seconds. Integration with the mobile application expanded service features, including online queue management. Testing and evaluation by local office staff and residents indicated that the chatbot improved information accessibility and service efficiency by up to 80%. This chatbot demonstrates the potential to serve as an innovative solution in enhancing public service transparency and accessibility.
Co-Authors ., Nailussa’ada Adam Shidqul Aziz Adhiemas Andira Anantha Putra Aditama, Darmawan Aditya Wahyu Nugraha Aditya Yogi Dwi Nugraha Afifah, Amalia Ahmad Syauqi Ahsan Ahsan, Ahmad Syauqi Aji , Rendra Suprobo Akbar, Rizky Januar Al Falah, Adam Ghazy Al, Mohammad Jawahir Alfaqih, Wildan Maulana Akbar Ali Ridho Barakbah Arna Fariza Arrochim, Jihan Ghaniyyah Putri Asmara, Rengga Aziz, Adam Shidqul Basofi, Arif Bilqis Amaliah Binti Khoirunnisa Bitafsaji, Ashitak Marchi Damastuti, Fardani Annisa Daniel Oranova Darlis Herumurti Darmawan, Zakha Maisat Eka Desy Intan Permatasari Desy Intan Permatasari Desy Intan Permatasari, Desy Intan Dina Ayu Fitriana Edelani, Renovita Entin Martiana Kusumaningtyas Fadilah Fahrul Hardiansyah Fadilah Fahrul Hardiansyah Fadilah Fahrul Hardiansyah, Fadilah Fahrul Fathoni, Kholid Fauzy, Aryazaky Iman Ferry Astika Saputra Hadziq Fabroyir Hasnaa, Rosyiidah Hero Yudo Martono Humaira, Fitrah Maharani Ikawati, Yunia Imam Kuswardayan Imam Kuswardayan Ira Prasetyaningrum Ira Prasetyaningrum iwan Syarif Jauari Akhmad Nur Hasim Jihan Ghaniyyah Putri Arrochim Kevin Juliandito Suhartono Khofifah Vionillah Fauzia Khoirunnisa, Asy Syaffa Khoirunnisa, Binti Kindarya, Fabyan Kusuma, Selvia Ferdiana Kusumaningtyas, Amalia M Udin Harun Al Rasyid, M Udin Harun Majid, Nur Syaela Martono, Hero Yudo Maulidan Bagus Afridian Rasyid Mawaddah, Saniyatul Mega Putri Rahmawati Darta Mochammad Farhan Alfiansyah Mohammad Robihul Mufid Monica Kristania Mubarok, Akhmad Romdhoni Mubarok, Ilham Muhammad Ali Wildan Muhammad Fajar Mukhti Muhammad Reza Pahlevi Nadhif Nadhif Nailussa'ada Nailussa'ada Nailussa`ada Nailussa’ada . Nailussa’ada, Nailussa’ada Nana Ramadijanti, Nana Nugraha, Aditya Yogi Dwi Nur Rosyid Mubtadai, Nur Rosyid Panggalih, Bintang Ampuh Prasetyo Prasetyo, Edy Eko Pratama, Borneo Satria Pratama, Chrysna Ardy Putra Primajaya, Grezio Arifiyan Rafly Arief Kanza Ramadhany Candra Arif Putra Ridho Rahman Hariadi Rizki Dwi Lestari Rizki Dwi Lestari Rizky Yuniar Hakkun Sa'adah, Umi Sabila Jamal Santoso, Dian Septiani Sariati Sariati, Sariati Sarwosri Sarwosri Shihab, Dufan Quraish Shintawati, Wella Putri Sinta Apriliya Tri Prastiani Siska Arifiani Siti Rochimah Subara, Deni Sudaryanto, Aris Sumarsono, Irwan Sylvi Indryana Safira Taufiq Hidayatullah Thooriqoh, Hazna At Tri Hadiah Muliawati, Tri Hadiah Umi Sa'adah Umi Sa'adah Veha Ramadhan Desendaya Wahyu Puji Ramadhan Wibowo, Prasetyo Wildan, Muhammad Ali Wiratmoko Yuwono Wiratmoko Yuwono Wulandari, Irma Yanuar Risah Prayogi Yanuar Risah Prayogi Yuhana, Umi Laili Yusma Rohmatus Sholikha Zufar, Farhan Izzudin Az Zulhaydar Fairozal Akbar