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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics JUTI: Jurnal Ilmiah Teknologi Informasi SITEKIN: Jurnal Sains, Teknologi dan Industri Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JURNAL MEDIA INFORMATIKA BUDIDARMA MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Abdimasku : Jurnal Pengabdian Masyarakat Journal of Informatics, Information System, Software Engineering and Applications (INISTA) JUSTIN (Jurnal Sistem dan Teknologi Informasi) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Pengabdian Kepada Masyarakat IJCOSIN : Indonesian Journal of Community Service and Innovation BHAKTI PERSADA Jurnal Aplikasi IPTEKS (Journal of Applied Sciences and Technology) Jurnal Informatika Polinema (JIP) Pengabdian Pendidikan Indonesia (PPI) Jurnal Pengabdian Kepada Masyarakat
Moch Zawaruddin Abdullah
Politeknik Negeri Malang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry 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 Public Health Social Sciences Transportation Other

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Pelatihan Penggunaan AI untuk Peningkatan Kinerja Perangkat Kelurahan Tasikmadu, Kota Malang Satrio Binusa Suryadi; Pamenang, Muhammad Unggul; Riatma, Galih Putra; Nurhasan, Usman; Rahmanto, Anugrah Nur; Abdullah, Moch. Zawaruddin
Pengabdian Pendidikan Indonesia Vol. 2 No. 02 (2024): Artikel Periode Agustus 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ppi.v2i02.4802

Abstract

Kegiatan pengabdian masyarakat ini mencakup pelatihan dan praktek langsung tentang pemanfaatan kecerdasan buatan (Artificial Intelligence) untuk staf di Kelurahan Tasikmadu, Kota Malang. Pelatihan ini merupakan lanjutan dari kegiatan pengabdian masyarakat di tahun sebelumnya tentang peningkatan informasi layanan pada masyarakat melalui media Canva. Pelatihan dan praktek langsung ini bertujuan untuk meningkatkan performa staf Kelurahan Tasikmadu kota Malang dalam memberikan pelayanan pada masyarakat. Artificial Intelligence (AI) memiliki beberapa kelebihan, salah satunya efisiensi pekerjaan yang dilakukan semisal menyusun draft proposal, mengedit dan merubah foto menjadi video, atau membuat video singkat yang atraktif untuk sarana sosialisasi kegiatan dan acara di lingkungan kelurahan Tasikmadu. Pelatihan dilaksanakan selama 2 minggu, dengan agenda pembekalan materi di minggu pertama dan praktek menggunakan AI di minggu kedua. Kegiatan ini juga sejalan dengan misi peningkatan sumber daya manusia di lingkungan kelurahan Tasikmadu untuk mengintegrasikan teknologi yang mendukung dan memudahkan pekerjaan administrasi staf. Sehingga pelatihan pemanfaatan kecerdasan buatan (AI) ini bisa meningkatkan pengetahuan staf kelurahan Tasikmadu untuk meningkatkan performa kerja mereka.
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.
Penerapan Sistem Informasi Administratif Desa Ngijo Kabupaten Malang menggunakan OpenSID Rahmad, Cahya; Sumari, Arwin Datumaya Wahyudi; Kirana, Annisa Puspa; Abdullah, Moch Zawaruddin; Sukmana, Septian Enggar
Bhakti Persada Jurnal Aplikasi IPTEKS Vol. 8 No. 1 (2022): Bhakti Persada Jurnal Aplikasi IPTEKS
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/bp.v8i1.1-8

Abstract

Administrasi kependudukan merupakan rangkaian kegiatan penataan dan penertiban dokumen dan data kependudukan serta pendayagunaan hasilnya untuk pelayanan publik dan pembangunan sektor lain. Desa Ngijo adalah salah satu desa unggulan yang ada di Kabupaten Malang. Kantor Desa Ngijo yang berada di Kabupaten Malang merupakan salah satu instansi pemerintah yang bergerak di bidang pelayanan masyarakat, namun dalam kinerja pelayanan masyarakat Balai Desa ini memiliki kendala dan permasalahan yaitu belum adanya ketersedian sistem informasi yang dapat menangani administrasi kependudukan. Desa Ngijo sebagai salah satu instansi pemerinatahan, memiliki peran yang penting yaitu sebagai pengelola data kependudukan di tingkat desa. Pengelolaan data kependudukan di Desa Ngijo saat ini masih belum memaksimalkan penggunaan teknologi informasi untuk pengelolaannya, sehingga masih terdapat beberapa kekurangan dan kendala yang dihadapi. Seperti masih terdapat kerangkapan data kependudukan, kesulitan dalam pencarian data, serta pembuatan laporan kependudukan. Sehingga pelayanan kepada masyarakat serta kerja dari perangkat desa menjadi kurang efektif dan efisien. Oleh karena itu dibutuhkan sebuah sistem informasi terkomputerisasi yang dapat digunakan untuk mengelola data tersebut. Metode yang digunakan untuk perancangan sistem administrasi kependudukan yaitu dengan metode prototyping. Dengan adanya sistem informasi administrasi kependudukan yang berbasiskan website ini, dapat memudahkan pengelolaan data kependudukan. Hal ini terwujud dalam persepsi dari 98% peserta pelatihan yang menyatakan bahwa sistem ini akan menjadi komponen layanan yang sangat bermanfaat bagi warga desa.
Design and Implementation KP-SPAMS Transaction Information System utilizing Laravel Framework and Extreme Programming Methodology Abdullah, Moch Zawaruddin; Hani'ah, Mamluatul; Yunhasnawa, Yoppy; Wakhidah, Rokhimatul
Journal of INISTA Vol 7 No 1 (2024): November 2024
Publisher : LPPM Institut Teknologi Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v7i1.1645

Abstract

The Community-Based Drinking Water and Sanitation Management Group (KP-SPAMS) oversees the Community-Based Drinking Water and Sanitation Provision Program (PAMSIMAS), which is essential for providing clean water services to rural areas. Nevertheless, KP-SPAMS continues to face challenges related to operational transaction management, such as the documentation of customer data, water usage, invoicing, and financial reporting. This research aims to develop a web-based transaction information system, utilizing the Laravel framework and the Extreme Programming methodology, to meet the specific requirements of KP-SPAMS Sumber Waras located in Ngenep Village, Malang Regency. The Extreme Programming methodology facilitates adaptable and cooperative software development, enabling quick responses to evolving customer requirements. The system's primary functionalities are customer registration, water usage recording, automatic billing, and payment reporting. The implementation results indicate that this system may enhance operational efficiency, accountability, and traceability of all transaction processes in KP-SPAMS, facilitating improved decision-making and superior service quality for the community. User Acceptance Testing results show that 80% of users rated the system positively, with 53.33% agreeing and 26.67% strongly agreeing that the system meets their needs and provides a satisfactory experience. Only 6.67% of responses indicated dissatisfaction, and no respondents strongly disagreed, demonstrating that the system aligns well with user expectations and offers a solid foundation for future improvements.
IMPLEMENTATION OF ANIMAL FACE’S RECOGNITION BY CONVOLUTIONAL NEURAL NETWORK (CNN) ALGORITHM Dimas Fanny Hebrasianto Permadi; Moch Zawaruddin Abdullah
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 21, No. 1, January 2023
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v21i1.a1131

Abstract

The purpose of this research is to apply the Convolutional Neural Network (CNN) method in the field of Computer Vision. The CNN algorithm is a combination of Neural Network and Multilayer Perceptron which uses a convolution approach to extract features. The CNN technique was used to identify an animal dataset that has 16,130 images divided into three categories: Cats, Dogs and Wild. This study aims to recognize facial images of animals belonging to the category of Cats, Dogs or Wild Animals which resemble the derivatives of cats or dogs such as Lions, Tigers, Hyenas, Wolves and so on. Comparing to learning rate and epoch, the results are 10e-4 and 60 respectively. Utilizing random images from the datasets, learning rate and epoch may achieve an accuracy of about 97.22% or 116.33 out of 120 images. When using images taken outside of the datasets, the accuracy may be as high as 77.78% or 93.33 out of 120 images.
Google Trends and Technical Indicator based Machine Learning for Stock Market Prediction Mamluatul Hani'ah; Moch Zawaruddin Abdullah; Wilda Imama Sabilla; Syafaat Akbar; Dikky Rahmad Shafara
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 22 No. 2 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i2.2287

Abstract

The stock market often attracts investors to invest, but it is not uncommon for investors to experience losses when buying and selling shares. This causes investors to hesitate to determine when to sell or buy shares in the stock market. The accurate stock price prediction will help investors to decide when to buy or sell their shares. In this study, we propose a new approach to predicting stocks using machine learning with a combination of features from stock price features, technical indicators, and Google trends data. Three well-known machine learning algorithms such as Support Vector Regression (SVR), Multilayer Perceptron (MLP), and Multiple Linear regression are used to predict future stock prices. The test results show that the SVR outperformed the MLP and Multiple Linear Regression to predict stock prices for Indonesian stocks with an average MAPE is 0.50%. The SVR can predict the stock price close to the actual price.
Integrasi Mekanisme Portion-Based Balancing dalam Pengelolaan Pembimbing dan Penguji Skripsi di Sistem Manajemen Tugas Akhir Jurusan Teknologi Informasi Zawaruddin Abdullah, Moch; Rosa Andrie Asmara; Yoppy Yunhasnawa; Habibie Ed Dien
Jurnal Informatika Polinema Vol. 12 No. 2 (2026): Vol. 12 No. 2 (2026)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v12i2.9218

Abstract

Sistem Manajemen Tugas Akhir (SIMTA) di Jurusan Teknologi Informasi berperan penting dalam pengelolaan tugas akhir atau skripsi mahasiswa. Seiring dengan peningkatan jumlah mahasiswa, distribusi beban kerja dosen pembimbing dan penguji menjadi tantangan yang semakin kompleks. Artikel ini mengusulkan integrasi mekanisme Portion-Based Balancing dalam fitur pengusulan pembimbing dan penguji skripsi untuk meningkatkan keadilan dan efisiensi distribusi beban kerja dosen. Penelitian ini menggunakan pendekatan kuasi-eksperimen dengan pengujian sistem pada beberapa skenario pembagian beban kerja. Hasilnya menunjukkan bahwa mekanisme yang diusulkan tidak hanya meningkatkan pemerataan beban kerja, tetapi juga memperbaiki transparansi dan akurasi dalam proses pengusulan. Integrasi ini diharapkan dapat diterapkan lebih luas di institusi pendidikan lain untuk meningkatkan kualitas bimbingan dan penilaian tugas akhir.
Development of a Web-Based SQL Query Online Examination System with Automated Grading Using the MVC Design Pattern Yoppy Yunhasnawa; Atif Windawati; Toga Aldila Cinderatama; Candra Bella Vista; Moch. Zawaruddin Abdullah
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3285

Abstract

In this study, the Researchers provide the design, development, and evaluation of a web-based SQL exam system that utilizes the Model-View-Controller (MVC) architectural pattern to enhance automated grading functionality and ease of maintenance. The main objectives of the system are to simplify the process of administering SQL exams, to make it user-friendly for students to enter their SQL statements, and as a means for teachers to automate the grading process. This allows a clear separation between three separate modules: Model to manage data, View to present the application to users, and Controller to manage the application logic. This separation allows for modular development, easier maintenance, and code reuse. The fundamental aspect of the system lies in its automated grading mechanism, which intelligently compares the SQL queries submitted by students with the corresponding validated answer keys stored in the database. Extensive black-box testing was conducted to ensure the reliability and accuracy of the system with various test cases to assess its ability to assess responses and provide real-time feedback to students, in addition to smooth and intuitive navigation within the system. All testing criteria yielded successful results with 100% agreement proving the robustness of the system with all possible locations that could potentially be used in higher education structures. The system provides a scalable and flexible approach to address the challenges associated with SQL assessment in academic institutions, thereby facilitating uniform, efficient, and objective evaluation standards. The system uses data up to October 2023 to prevent the model from becoming obsolete
Co-Authors Abdillah, Muhammad Navis Agus Zainal Arifin Amalia, Astrifidha Rahma Aminul Wahib Annisa Puspa Kirana Annisa Puspa Kirana Arwin Datumaya Wahyudi Sumari Astiningrum, Mungki Atif Windawati Atiqah Nurul Asri Attariq, Muhammad Daffa Bagas Satya Dian Nugraha Candra Bella Vista Chastine Fatichah Denny Nur Ramadhan Desepta Isna Ulumi Dikky Rahmad Shafara Dimas Fanny Hebrasianto Permadi Dinial Utami Nurul Qomariah Dwi Puspitasari DWI PUSPITASARI Eka Larasati Amalia Gunawan Budiprasetyo Habibie Ed Dien Hendrawan, Muhammad Afif Jarnuzi, Ahmad Lafnidita Farosanti Mamluatul Hani'ah Mamluatul Hani’ah Maskur Maskur Muhammad Daffa Attariq Pamenang, Muhammad Unggul Pramana Yoga Saputra Rahmad, Cahya Rahmanto, Anugrah Nur Riatma, Galih Putra Rinanza Zulmy Alhamri, Rinanza Zulmy Rizka Wakhidatus Sholikah Rokhimatul Wakhidah Rosa Andrie Asmara Rosyadi, Ahmad Wahyu Rudy Ariyanto Satrio Binusa Suryadi Septian Enggar Sukmana Subhan Indra Prayoga Sultan Achmad Qum Masykuro Nur Santiko Suryadi, Satrio Binusa Syafaat Akbar Toga Aldila Cinderatama Triana Fatmawati Usman Nurhasan Vivi Nur Wijayaningrum Vivin Ayu Lestari Wilda Imama Sabilla Windawati, Atif Yoppy Yunhasnawa Yuri Ariyanto Yuri Ariyanto