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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) JURNAL PENDIDIKAN TAMBUSAI MONSU'ANI TANO Jurnal Pengabdian Masyarakat Jurnal Review Pendidikan dan Pengajaran (JRPP) INTI Nusa Mandiri Jurnal Abdi Insani Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Education and Counseling Journal Journal of Information Systems and Technology Research Jurnal Sains dan Teknologi Jurnal Pendidikan, Sains dan Teknologi Jurnal Pemberdayaan: Publikasi Hasil Pengabdian kepada Masyarakat (JPM ITTC ) Jurnal Ekonomika Manajemen Dan Bisnis Jurnal Sistem Informasi dan Informatika Journal Of Informatics And Busisnes Journal of Innovative and Creativity Science, Technology, and Communication Journal Jurnal Sains dan Teknologi Jurnal Ilmu Komputer dan Informatika ORAHUA : Jurnal Pengabdian Kepada Masyarakat Edumaspul: Jurnal Pendidikan Edumaspul: Jurnal Pendidikan
Anggi Hadi Wijaya
Universitas Andalas
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences 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 Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Analysis of the Implementation of Artificial Intelligence (AI)-Based Promotional Media by Micro, Small, and Medium Enterprises (MSMEs) in Enhancing Brand Awareness in the Digital 5.0 Era Wahyu Fitri; Anggi Hadi Wijaya; Zumiarti Zumiarti
Edumaspul: Jurnal Pendidikan Vol 9 No 2 (2025): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v9i2.9194

Abstract

With the increasing use of Artificial Intelligence (AI)–based technology today, this development has become a positive opportunity for Micro, Small, and Medium Enterprises (MSMEs) in Padang City. By utilizing AI, MSME actors can significantly reduce marketing costs when promoting their products. This study aims to analyze the implementation of MSME product promotion media using Artificial Intelligence (AI) as an effort to enhance brand awareness in the digital 5.0 era. As of March 2025, there were 47,289 MSME actors recorded in Padang City, spread across 11 districts. Fundamentally, MSMEs are currently the largest contributors to the national economy. However, literacy and understanding of the use of emerging technologies remain limited among MSME actors. This condition is reinforced by data from 2014 to 2018, which shows that only 46.87% of MSMEs utilized promotional media and internet access. Furthermore, from 2019 to the end of 2021, nearly 90% of MSMEs experienced stagnation due to the spread of the COVID-19 pandemic. Therefore, specific research efforts and targeted actions are needed to examine the implementation of AI-based promotional media to improve the literacy and capabilities of MSME actors. This study employs a mixed-method research design (qualitative–quantitative) with a project-based approach. The research process began with the collection of primary and secondary data through in-depth interviews with 30 informants and the distribution of 476 questionnaires, supported by data from social media, online media, mass media, and other relevant sources. This research integrates interdisciplinary expertise (communication studies, social sciences, and economics) to address the identified problems, resulting in findings that describe MSME needs and implement effective strategies for promoting MSME products, as well as providing policy recommendations and practical suggestions for relevant stakeholders. The expected outcome of this research is one mandatory output in the form of a National Journal indexed in SINTA 1–4, aligned with Technology Readiness Level (TRL) 1, with a final target of TRL 3.
Sistem Toko Online Berbasis PHP Menggunakan Framework Bootstrap: Desty’s Pastry Saputra, Muhammad Farhan; Wijaya, Anggi Hadi; ., Ipriadi
Jurnal Sistem Informasi Dan Informatika Vol 4 No 1 (2026): Januari 2026
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jiska.v4i1.2493

Abstract

“Desty’s Pastry” previously relied on WhatsApp-based ordering and manual record-keeping, resulting in frequent order errors, limited market reach, and the absence of modern payment and notification features. This study aims to address these challenges by developing a web-based online store to improve operational efficiency and enhance customer experience. The system was built using the Waterfall development model, with requirements collected through interviews and direct observations. PHP 8.2, Bootstrap 5.3.5, and MySQL were used as core technologies, supported by Data Flow Diagrams and Entity Relationship Diagrams for system design. The resulting system provides key features including product catalog management, user authentication, shopping cart functionality, order processing, and an administrative dashboard, along with digital payment integration through QRIS. Black-box testing using Equivalence Partitioning showed that core functionalities such as registration, product selection, cart management, and order processing performed correctly with accurate data handling. Overall, the system successfully resolves initial operational issues and offers a scalable solution for SMEs adopting digital sales platforms.
Digitalization of Rural Water Management: Android-Based Billing for Community Systems using the ADDIE model Nurfiah Nurfiah; Afdhal Dinilhak; Luthfil Khairi; Budy Satria; Anggi Hadi Wijaya; Ajeng Dwi Asti; Arifan Rahman
Journal of Information Systems and Technology Research Vol. 4 No. 2 (2025): May 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i02.1135

Abstract

The integration of information technology in everyday life has changed the way people work, learn, socialize, make transactions, and make decisions. The use of Android-based smartphones is a real example of the use of technology. Android, which is open-source, has encouraged the development of applications widely according to need. Access to water is a fundamental human right. PAMSIMAS is a flagship program of the regional and central governments that seeks to meet water needs through the provision of clean water services in line with the Sustainable Development Goals (SDGs). In Durian Seribu Village, PAMSIMAS is a service to meet the water needs of the community and become a solution for rural communities to get clean water at low cost, but its management is still manual, such as recording water usage and billing, so it is inefficient, time-consuming, and prone to errors. From these problems, this study proposes the development and implementation of an Android application designed to simplify the recording and billing process for the PAMSIMAS program in Durian Seribu Village. This application aims to simplify management, increase data transparency, and simplify reporting. The results of tests that have been carried out using the black box method show that this application can facilitate officers in recording and billing payments for PAMSIMAS water usage. Officers only need to enter the total water usage, and the application will automatically calculate and print a receipt as proof of payment. Officers also do not need to calculate manually when reporting the total payment to the administrator. For administrators, this application makes it easier to monitor and evaluate the performance of recording officers. After the application was used for recording and billing, PAMSIMAS's revenue increased by around 30% from the revenue before using the application.
Analisis Ketahanan Fitur MFCC dan Log-Mel Spektrogram untuk Speech Emotion Recognition Berbasis CNN pada Berbagai Kondisi Signal-to-Noise Ratio Rifki Yuliandra; Arifan Rahman; Afdhal Dinilhak; Luthfil Khairi; Anggi Hadi Wijaya
Jurnal Sains Dan Teknologi | E-ISSN : 3063-9980 Vol. 2 No. 4 (2026): April - Juni
Publisher : GLOBAL SCIENTS PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Speech Emotion Recognition (SER) has achieved remarkable performance under controlled, clean-audio conditions; however, its robustness in noise-laden, real-world environments remains insufficiently characterized. This study investigates the performance degradation of a Convolutional Neural Network (CNN)-based SER system on the RAVDESS dataset when subjected to synthetic noise at various Signal-to-Noise Ratio (SNR) levels (−5, 0, 5, 10, and 15 dB). We compare two widely used feature representations: Mel-Frequency Cepstral Coefficients (MFCC) and Log-Mel Spectrogram. Both models were trained exclusively on clean audio and evaluated under twelve noise conditions using Additive White Gaussian Noise (AWGN) and babble noise. Experimental results on the RAVDESS dataset (2,880 samples, 8 emotion classes) reveal a distinct asymmetry: the MFCC-based CNN achieves a 48.84% clean-audio accuracy with a maximum degradation of 27.08 percentage points (pp). Conversely, the Log-Mel Spectrogram model achieves a higher clean baseline of 66.67% but suffers a severe drop of up to 47.69 pp under noise, approaching the random baseline of 12.5%. These findings demonstrate that MFCC features offer superior robustness to additive noise due to implicit spectral smoothing via mel filterbanks and Discrete Cosine Transform (DCT), despite exhibiting lower clean-audio discriminability. This research highlights a fundamental trade-off between feature discriminability and noise robustness in uncontrolled acoustic environments.
Sistem Pendukung Keputusan Penentuan Destinasi Wisata Bahari Terbaik di Sumatera Barat Menggunakan Metode Entropy-MABAC Berdasarkan Data Google Maps Anggi Hadi Wijaya; Nurfiah
Jurnal Ilmu Komputer dan Informatika | E-ISSN : 3063-9026 Vol. 2 No. 4 (2026): April - Juni
Publisher : GLOBAL SCIENTS PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62379/jiki.v2i4.1631

Abstract

Sumatera Barat memiliki potensi wisata bahari yang melimpah, namun wisatawan sering kesulitan memilih destinasi terbaik karena keterbatasan informasi objektif. Penelitian ini bertujuan membangun Sistem Pendukung Keputusan (SPK) untuk menentukan destinasi wisata bahari terbaik secara objektif. Metode yang digunakan adalah integrasi Entropy untuk pembobotan kriteria secara objektif dan Multi-Attributive Border Approximation Area Comparison (MABAC) untuk perankingan alternatif berdasarkan data dinamis yang diekstraksi langsung dari Google Maps (ulasan, rating, jarak, akomodasi, harga tiket, dan kelengkapan aktivitas). Hasil penelitian menunjukkan bahwa kriteria jumlah ulasan dan rating memiliki bobot pengaruh paling signifikan. Berdasarkan perhitungan Entropy-MABAC, destinasi pantai daratan utama seperti Pantai Gandoriah menempati peringkat teratas karena keunggulan aksesibilitas dan fasilitas, disusul oleh destinasi pulau. Kombinasi metode ini terbukti efektif, objektif, dan dinamis dalam membantu wisatawan menentukan pilihan destinasi wisata bahari.
Analisis Dinamika Kesejahteraan Regional di Sumatera Barat Menggunakan Pooled Clustering K-Means Nurfiah; Anggi Hadi Wijaya
Jurnal Ilmu Komputer dan Informatika | E-ISSN : 3063-9026 Vol. 2 No. 4 (2026): April - Juni
Publisher : GLOBAL SCIENTS PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62379/jiki.v2i4.1632

Abstract

Ketimpangan kesejahteraan antarwilayah di Provinsi Sumatera Barat memerlukan pemetaan yang akurat sebagai dasar perumusan kebijakan yang tepat sasaran. Penelitian ini bertujuan untuk mengelompokkan tingkat kesejahteraan 19 kabupaten dan kota menggunakan algoritma K-Means Clustering berbasis pendekatan pooled data historis selama periode 2021–2025. Data sekunder bersumber dari Badan Pusat Statistik (BPS) meliputi empat indikator makro, yaitu Indeks Pembangunan Manusia (IPM), Persentase Penduduk Miskin, Tingkat Pengangguran Terbuka (TPT), dan Pengeluaran per Kapita disesuaikan. Melalui evaluasi Elbow Metho diperoleh segmentasi paling optimal yang terbagi menjadi tiga kelompok yaitu Klaster 0 diberi label Daerah Maju, Klaster 1 diberi label Daerah Berkembang, dan Klaster 2 diberi label Daerah Rentan. Pendekatan pooled data yang diterapkan berhasil memetakan transisi positif dari empat wilayah yang sukses naik kelas menuju Klaster 0. Selain itu ditemukan anomali ketenagakerjaan, yang mana daerah maju justru mencatat angka TPT tertinggi akibat fenomena pengangguran terdidik, sementara daerah rentan memiliki TPT terendah akibat tingginya gejala setengah pengangguran di sektor informal. Penelitian ini menyimpulkan bahwa intervensi pembangunan pemerintah daerah harus bersifat asimetris. Daerah maju perlu berfokus pada perluasan investasi sektor kreatif, sedangkan daerah rentan memprioritaskan pengentasan isolasi geografis.
YOLOv11-based detection and classification of diseases in Siamese orange fruit using digital images Rehan Khairuno; Anggi Hadi Wijaya
Science, Technology, and Communication Journal Vol. 6 No. 3 (2026): SINTECHCOM Journal (June 2026)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i3.375

Abstract

Diseases in Siamese orange fruit are one of the factors that can reduce the quality and yield of agricultural production. Manual disease identification requires considerable time and depends heavily on human observation skills; therefore, an automated system capable of detecting diseases quickly and accurately is needed. This study aims to implement the YOLOv11 model for detecting and classifying diseases in Siamese orange fruit based on digital images. The dataset used consisted of four classes, namely anthracnose, citrus canker, scab, and healthy, with a total of 627 images divided into training, validation, and testing datasets. The study utilized 20 variations of data augmentation, and DataV18 produced the best performance. The training process was conducted using the YOLOv11s architecture with 200 epochs and various data augmentation techniques. Based on the testing results, the model achieved a precision of 70.5%, recall of 61.2%, F1-score of 65.5%, mAP@0.5 of 61.8%, and mAP@0.5:0.95 of 44.8%. The results indicate that the YOLOv11 model has a fairly good capability in detecting diseases in Siamese orange fruit based on digital images and has the potential to be applied in the development of artificial intelligence-based plant disease detection systems.
Rancangan Bangun Prototipe Sistem Pengamanan Ganda Pada Sepeda Motor Menggunakan Fingerprint Dan Remote Control RF Berbasis Internet Of Thing (IOT) Menggunakan ESP8266 Kanzul Fadlillah; Ipriadi; Anggi Hadi Wijaya
Jurnal Ilmu Komputer dan Informatika | E-ISSN : 3063-9026 Vol. 1 No. 4 (2025): April - Juni
Publisher : GLOBAL SCIENTS PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dual security system on motorcycles using fingerprint sensors and RF remote control using ESP 8266 based on the Internet of Things (IoT) as an efficient motorcycle security tool that provides a sense of security for vehicle owners is needed because of the rampant motorcycle theft. This study uses the Research and Development or RnD method. The dual security system on motorcycles is controlled via a microcontroller. RF remote control to open the solenoid as a double lock, data is processed by Arduino Mega and activates the system in the circuit. To activate the motorcycle, select the password input on the matrix keypad or scan fingerprint, If there is an error in the input, the buzzer will sound as a warning alarm and send the location to Telegram. After testing, the results obtained from this test show that integration between RF remote control, fingerprint, and IoT using ESP 8266 can provide a higher level of security and efficiency in preventing motorbike theft. With this prototype, a more reliable and modern double safety system can be applied to motorbikes, reducing dependence on conventional safety systems which are more susceptible to security risks.
PENERAPAN JARINGAN SYARAF TIRUAN DENGAN ALGORITMA BACKPROPAGATION DALAM MEMPREDIKSI PRODUKSI TANAMAN PADI Anggi hadi Wijaya
INTI Nusa Mandiri Vol. 20 No. 1 (2025): INTI Periode Agustus 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v20i1.6438

Abstract

Rice is a staple food crop in Indonesia, including in West Sumatra Province, which plays an important role in national food security. This study aims to develop a rice production prediction model using Artificial Neural Networks (ANN) with the Backpropagation algorithm. Historical rice production data from 2006 to 2023 in 19 regencies/cities in West Sumatra Province were used as the data basis. The research methods include data collection from BPS West Sumatra, data preprocessing, prediction process using the Backpropagation algorithm, and accuracy testing of the prediction results. The results show that ANN with the Backpropagation algorithm can predict rice production with an accuracy rate of 82.56% using an architecture with 16 neurons in the input layer, 9 neurons in the hidden layer, and 1 neuron in the output layer. This prediction model is expected to assist farmers and the government in planning optimal rice production, thereby increasing production and the welfare of farmers in West Sumatra Province. Thus, this research provides significant contributions in supporting decision-making in the agricultural sector, particularly in efforts to enhance food security and the welfare of farmers in the region
Pengaruh Iklan Diskon Shopee di Televisi Terhadap Minat Belanja Ibu-Ibu Desa Sikumbang Lolong Belanti Padang Utara Wahyu Fitri; Annisa Weriframayeni; Anggi Hadi Wijaya
Journal of Innovative and Creativity (Joecy) Vol. 6 No. 2 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dengan munculnya teknologi dikalangan masyarakat sehingga memudahkan masyarakat untuk mendapatkan informasi dengan mudah dan cepat, teknologi tersebut adalah televisi. Mendengar kata televisi pasti tidak lagi bernyanyi dengan iklan, salah satunya adalah iklan shopee. Pengaruh iklan terhadap masyarakat menimbulkan perhatian bagi masyarakat. Iklan yang ditayangkan juga memperhatikaan kebutuhan yang dibutuhkan masyarakat sehingga dapat menarik minat ibu-ibu kampung sikumbang padang untuk berbelanja di shopee. Tujuan dari penelitian ini untuk mengetahui seberapa besar pengaruh iklan diskon shopee di televisi terhadap minat belanja ibu-ibu kampung sikumbang kota padang. Teori yang digunakan Teori refleksi, diamana teori ini menalaah tentang pengaruh serta dampak yang ditimbulkan dari televisi bagi masyarakat. Pendekatan yang penulis gunakan adalah kuntitatif eksplanatif yang bersifat asosiatif. Teknik pengumpulan data melalui koesioner dan Skala Likert . Target dari penelitian ini adalah ibu-ibu kampung sikumbang lolong belanti, kota padang yang berjumlah 56 orang yang digunakan 15 sampel
Co-Authors ., Ipriadi ., Syamsi Adi Arga Arifnur Afdhal Dinilhak Afira, Nurul Ajeng Dwi Asti Annisa Weriframayeni Arifan Rahman Asti, Ajeng Dwi Azizah, Tiara Azmi, Khairil Budy Satria Derisma Derisma Dharma Liza Said Dwi Asti, Ajeng Erna Susanti Fanny Septiani Bufra Fitri, Wahyu Hartati, Yuli Humayra Fahreri Ilsan Oktapian, Muhammad Ipriadi Ipriadi Ipriadi . Ipriadi Ipriadi, Ipriadi Kanzul Fadlillah Khairi, Luthfil Khoiri Putra Mujiza Legiman Slamet Luthfil Khairi Melly Rindhani Aditia Meza Silvana Muhammad Farhan Saputra Nurfiah Pema Oktalia Lisman Perra Budiarti Rahayu Putri Putri, Perra Budiarti Rahayu Putri, Sherly Ananda Rahmad Surya Rahman, Arifan Rahmi Eka Putri Rahmi Eka Putri, Rahmi Eka Rahmi, Siti Fadhilah Rehan Khairuno Rifki Yuliandra Riza Yonita Rizalina, Rizalina SAKINAH, PUTRI Saputra, Muhammad Farhan Sumiati Sumiati Surya, Rahmad Syamsi Syamsi Syauqi, Muhammad Dawi Syelfia Dewimarni Wahyu Fitri Wahyu Fitri Wahyu Fitri Wahyudi Wahyudi Wahyudi Zamora, Sasya Zumiarti Zumiarti Zumiarti Zumiarti Zumiarti Zumiarti