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All Journal JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Edukasi dan Penelitian Informatika (JEPIN) Building of Informatics, Technology and Science Jurnal Informasi dan Teknologi Journal of Applied Data Sciences Kalbiscientia Jurnal Sains dan Teknologi ABDIMAS Jurnal Pengabdian Kepada Masyarakat JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Ipteks Terapan : research of applied science and education AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Jurnal Sistem Informasi Bisnis (JUNSIBI) Jurnal Andalas: Rekayasa dan Penerapan Teknologi DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Proceeding Applied Business and Engineering Conference KALBISIANA Jurnal Sains, Bisnis dan Teknologi Nusantara Journal of Artificial Intelligence and Information Systems
Fryonanda, Harfebi
Jurusan Teknologi Informasi, Politeknik Negeri Padang
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Peningkatan Kompetensi Guru TK dan PAUD dalam Pembuatan Bahan Ajar Interaktif Fryonanda, Harfebi; Novi; Mardiah , Ainil; Widianti , Nina; Nissa, Wirda
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i3.403

Abstract

Training on making interactive teaching materials using Canva for kindergarten and early childhood education teachers in Lubuk Tarok District aims to improve teachers' technological skills and creativity in designing exciting teaching materials. This training was conducted in response to teachers' challenges in utilizing educational technology, especially in areas with limited access to technology. The training method included an introduction to Canva, introductory training sessions, workshops, guided practice, and independent practice, followed by participant evaluations. The results showed a significant increase in teacher competence, confidence, and motivation in using technology. The final evaluation showed high scores in reliability, responsiveness, and empathy. Teachers reported that the interactive teaching materials created were able to increase student engagement and positive responses during learning activities. The long-term impact of this training is expected to maintain the skills that have been acquired and become a model for development in other areas with appropriate adaptations. The analysis of the results also identified several challenges faced by participants during the training, providing insights for improving future training. This training has been proven to significantly contribute to improving the quality of early childhood education through integrating technology into teaching.
Pemanfaatan Website untuk Promosi Pariwisata di Kawasan Agrowisata Puncak Labuang Kurnia, Rahmi Putri; Defni; Hadi, Ronal; Wijaya, Taruma Leo; Fryonanda, Harfebi; Hafizun, Altaf
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i3.404

Abstract

The development of technology-based tourism is a strategic step to increase the competitiveness of local destinations, such as Puncak Labuang in Nagari Limau Manis. This community service activity aims to increase the visibility and accessibility of Puncak Labuang tourism information by developing the visit.limaumanis.id website. The methods used include identifying needs, designing, developing systems, testing functionality, and training representatives of the Limau Manis Community Empowerment Forum (FPM). The activity results show that users consider this website easy to use and valuable. The training provided improves the ability of FPM representatives to manage and update content independently. A post-training survey revealed that 90% of participants felt more confident operating the website, and 88% considered the interface easy to understand. This implementation is expected to support the promotion of local tourism effectively and sustainably, which positively impacts the economy and welfare of the local community. This program shows the importance of synergy between technology and society for developing local potential.
Optimization of Tsunami and Earthquake Awareness Through Digital Mapping Using a Decision Support System with Simple Additive Weighting (SAW) in Padang City Vadreas, Andrew Kurniawan; Fryonanda, Harfebi; Arsyah, Ulya Ilhami; Maulana, Raihan Efel; Nirad, Dwi Welly Sukma
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

Padang is a city that is prone to earthquakes and tsunamis due to its location between the India and Asia plateson the west coast and being crossed by the Great Sumatran fault. The Padang coastal region is a strong source ofearthquakes and tsunamis. Despite having experienced earthquakes in 2006, 2007, and 2009, Padang still facesdifficulties in managing tsunami evacuation because of the lack of infrastructure and straight roads from the coast tohigher ground. The presence of rivers in Padang causes the tsunami waves to be concentrated within a 200-meter radiusand the evacuation routes are hindered by the presence of bridges that are not durable against tsunamis and earthquakes.Additionally, traffic congestion after an earthquake exacerbates the evacuation problems. This study aims to map the riskand potential of earthquakes and tsunamis in Padang 3 KM from the coast by comparing population and building datawith the availability of shelters. The Simple Additive Weighting (SAW) method, as part of Geographic InformationSystem, is used to analyze demographic data and shelter locations. The results show that Koto Tangah is the area with thehighest risk level for earthquakes and tsunamis.
UI/UX Design of a QR Code and Geolocation-Based Attendance System Using Design Thinking and Prototyping Methods Atma, Yori Adi; Ganiyu, Ahmad Rizki Akbar; Arsyah, Ulya Ilhami; A'yunin, Qurhata; Fryonanda, Harfebi
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

Student attendance is an important element in ensuring proper presence and participation in the academic environment. However, in the Information Technology Department of Padang State Polytechnic, the attendance process is still conducted manually, which leads to various issues such as the potential for cheating, inaccuracies in recordkeeping, and paper waste. This research aims to address the issue by designing and developing a QR code and geolocation-based attendance system using the Design Thinking and Prototype methods. The Design Thinking method is used to explore and understand user needs, while the Prototype method is employed to develop and test solutions iteratively. The system produced is expected to improve the accuracy of attendance recording, reduce fraud, and minimize resource waste. In addition, this research contributes to creating a more efficient, reliable, and user-friendly attendance system, particularly in academic settings.
Pelatihan Editing Foto dan Video Bagi Karang Taruna Limau Manis Peningkatan Promosi Potensi Desa Melalui Media Visual Syawaldipa, Ardi; Yosse, Sofia; Meri, Rozi; Fryonanda, Harfebi; Laia, Basmida
Jurnal Pengabdian Masyarakat: Pemberdayaan, Inovasi dan Perubahan Vol 4, No 6 (2024): JPM: Pemberdayaan, Inovasi dan Perubahan
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpm.v4i6.989

Abstract

This activity aims to improve photo and video editing skills as well as promote village potential through visual media for Karang Taruna Limau Manis. Mitra, a social organization in Limau Manis village, faced problems in technical editing skills and a lack of interesting visual content to promote their village. The solution offered is through intensive training using the CapCut and Lightroom mobile applications, as well as guidance in developing creative ideas for visual content. The benefit is an increase in the skills of Karang Taruna members, which will enable them to produce high-quality visual content that can increase the promotion of village potential. The expected output includes scientific publications, mass media publications, and publications on the Karang Taruna Limau Manis YouTube channel to expand promotional reach.ABSTRAKKegiatan ini bertujuan untuk meningkatkan kemampuan pengeditan foto dan video serta promosi potensi desa melalui media visual bagi Karang Taruna Limau Manis. Mitra, sebuah organisasi sosial kemasyarakatan di desa Limau Manis, menghadapi permasalahan dalam keterampilan teknis pengeditan dan kurangnya konten visual menarik untuk mempromosikan desa mereka. Solusi yang ditawarkan adalah melalui pelatihan intensif menggunakan aplikasi mobile CapCut dan Lightroom, serta pembimbingan dalam mengembangkan ide-ide kreatif untuk konten visual. Manfaatnya adalah peningkatan keterampilan anggota Karang Taruna, yang akan memungkinkan mereka untuk memproduksi konten visual berkualitas tinggi yang dapat meningkatkan promosi potensi desa. Luaran yang diharapkan mencakup publikasi ilmiah, publikasi media masa, dan publikasi di saluran YouTube Karang Taruna Limau Manis untuk memperluas jangkauan promosi. 
Perancangan Prediksi Produksi Teh Menggunakan Metode Fuzzy Tsukamoto Berbasis Web Rozali Ilham; Harfebi Fryonanda
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 4 No 1 (2023)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.4.1.120

Abstract

Nowadays, technology is also widely applied in various fields with various needs. Innovations will continue to be developed to create even more efficient technologies for various fields. Based on data from. Various sectors, such as education, business, tourism, to the agricultural sector, widely use websites. There are various implementations or applications of technological developments in agriculture, one of which is the application of calculating an agricultural product—tea production in Kaligua in 2018 experienced ups and downs due to less stable weather conditions. Calculations in determining an agricultural product can use several calculation methods, one of which is the Tsukamoto fuzzy method. Tsukamoto's fuzzy method is an extension of monotone reasoning. In Tsukamoto's method, every consequence has a rule in the form of IF-THEN that must be represented in a fuzzy set with a monotone arrangement function. So this requires a system that can produce predictions in tea production in Kaligua tea plantations to meet market needs. The solution offered is a production prediction system in Kaligua plantations using the Tsukamoto fuzzy method. The prediction results obtained in this study were a 36% increase in tea sales production.
Analisis Pola Pembayaran UKT Mahasiswa dengan Clustering Menggunakan K-Means dan DBSCAN Atma, Yori Adi; Fryonanda, Harfeby; Wijaya, Taruma Leo
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 6, No 1: JUNI 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v6i1.6398

Abstract

Penelitian ini bertujuan untuk menganalisis data sosial ekonomi mahasiswa baru sebagai dasar dalam penetapan level Uang Kuliah Tunggal (UKT) secara objektif dan berbasis data. Metode yang digunakan adalah teknik unsupervised learning berupa clustering dengan algoritma K-Means dan DBSCAN. Data yang dianalisis berasal dari isian formulir UKT mahasiswa baru Politeknik Negeri Padang tahun ajaran 2024/2025, yang mencakup informasi penghasilan orang tua, jumlah tanggungan, kepemilikan rumah, dan status bantuan sosial. Hasil analisis menunjukkan bahwa K-Means berhasil mengelompokkan mahasiswa ke dalam tiga klaster dengan rata-rata penghasilan dan UKT yang selaras. Klaster dengan penghasilan tertinggi cenderung berada pada level UKT 7 dan 8, sedangkan klaster dengan penghasilan lebih rendah terkonsentrasi pada level UKT menengah. Sementara itu, metode DBSCAN hanya menghasilkan satu klaster valid dengan banyak data teridentifikasi sebagai noise, menunjukkan keterbatasannya dalam menangani dataset kecil dan homogen. Kesimpulan dari penelitian ini adalah bahwa metode K-Means lebih sesuai digunakan sebagai alat bantu dalam mengevaluasi dan meninjau ulang kebijakan UKT secara objektif berdasarkan data sosial ekonomi mahasiswa.
Aplikasi QR Code untuk Keragaman Hayati di Puncak Labuang Fryonanda, Harfebi; Vadreas, Andrew Kurniawan; A'yunin, Qurhata; Pratama, Fikri Wilya; Jonitra, Farhan
Jurnal Pengabdian Masyarakat: Pemberdayaan, Inovasi dan Perubahan Vol 4, No 6 (2024): JPM: Pemberdayaan, Inovasi dan Perubahan
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpm.v4i6.956

Abstract

Puncak Labuang Agrotourism in Limau Manih, Pauh District, Padang, is an educational tourism destination with great potential, especially in terms of natural beauty and biodiversity. However, the lack of accessible information for visitors limits understanding and awareness of the importance of environmental conservation. This program introduces a QR Code-based application to make it easier for visitors to access information about plant species and local ecosystems. The development method uses a prototyping approach, including needs analysis, prototype design, testing, and application implementation. QR Codes are placed on important plants, directing users to detailed information integrated with an interactive map. The program results show increased visitor awareness of conservation, community participation in information management, and promotion of the area as an environmentally friendly destination that contributes to the local economy. This innovation is expected to become a model for technology-based tourism management in the future.ABSTRAKAgrowisata Puncak Labuang di Limau Manih, Kecamatan Pauh, Padang, merupakan destinasi wisata edukatif dengan potensi besar, terutama dari keindahan alam dan keanekaragaman hayati. Namun, kurangnya informasi yang dapat diakses pengunjung membatasi pemahaman dan kesadaran akan pentingnya pelestarian lingkungan. Program ini memperkenalkan aplikasi berbasis QR Code untuk memudahkan pengunjung mengakses informasi tentang spesies tanaman dan ekosistem lokal. Metode pengembangan menggunakan pendekatan prototyping, meliputi analisis kebutuhan, desain prototipe, pengujian, dan implementasi aplikasi. QR Code dipasang pada tanaman penting, mengarahkan pengguna ke informasi terperinci yang terintegrasi dengan peta interaktif. Hasil program menunjukkan peningkatan kesadaran pengunjung terhadap konservasi, partisipasi masyarakat dalam pengelolaan informasi, serta promosi kawasan sebagai destinasi ramah lingkungan yang berkontribusi pada ekonomi lokal. Inovasi ini diharapkan menjadi model bagi pengelolaan wisata berbasis teknologi di masa depan.
ACLM Model: A CNN-LSTM and Machine Learning Approach for Analyzing Tourist Satisfaction to Improve Priority Tourism Services Arsyah, Ulya Ilhami; Pratiwi, Mutiana; Fryonanda, Harfeby; Anam, M. Khairul; Munawir, Munawir
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.974

Abstract

Tourist satisfaction is a key proxy for destination service quality, yet automatic sentiment analysis of online reviews still faces class imbalance, overfitting, and limited deployability. This study proposes ACLM, a hybrid sentiment classification pipeline that learns semantic and temporal features with a CNN-LSTM backbone and evaluates three classifier heads (Softmax, Logistic Regression, XGBoost) on a three-class corpus (neutral, satisfied, dissatisfied). The objective is to deliver an accurate and operational model for decision support in tourism services. The idea combines Word2Vec embeddings, a compact CNN for local patterns, an LSTM for sequence dependencies, and a training workflow with text cleaning, SMOTE based balancing, and regularization to curb overfitting; outputs are exposed through a simple Streamlit interface. Results show that CNN-LSTM with a Softmax head attains accuracy 0.89, macro precision 0.89, macro recall 0.84, and macro F1 0.86, outperforming Logistic Regression (accuracy 0.87, macro precision 0.84, macro recall 0.82, macro F1 0.82) and XGBoost (accuracy 0.85, macro precision 0.80, macro recall 0.82, macro F1 0.80). The findings indicate that deep sequence features paired with a simple Softmax head provide the best tradeoff between accuracy and stability for three-way sentiment classification. The contribution is a reusable, end to end blueprint from preprocessing and balanced training to quantitative evaluation and an inference GUI, and the novelty lies in testing interchangeable classifier heads on a single CNN-LSTM feature extractor while explicitly addressing data imbalance and deployment constraints. The GUI is implemented using the highest accuracy model, namely CNN-LSTM with Softmax.
Web-Based Junior High School Student Attendance System with Face Recognition Feature using the Prototyping Method Kaesmetan, Yampi R; Rosid, Achmat; Fryonanda, Harfebi
Nusantara Journal of Artificial Intelligence and Information Systems Vol. 1 No. 2 (2025): December
Publisher : Faculty of Engineering and Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/nuai.v1i2.1873

Abstract

Technology is increasingly developing and innovating rapidly. Among them is the use of technology in various fields, especially in education. Teachers and students at the school still carry out attendance activities manually, namely with a conventional system that requires data recording for each attendance on paper. This system is vulnerable to damage or loss of data because the attendance results there still use paper. The attendance system that utilizes face recognition technology is the system proposed for the formulation of the problem that will be used for the research. The development method of this research uses the Prototyping method which prioritizes speed and time efficiency so that it is very suitable for use considering the current needs for a system that requires speed and accuracy. The framework used in the development of the system is Codeigniter 4. The process of working on the system is system requirements analysis, display design, coding, and testing. The results of the study are to create a website-based attendance application at SMP Daarus Sa'adah by utilizing face recognition technology which is carried out by auto-detecting faces so that it can facilitate users in carrying out attendance activities accurately and quickly.
Co-Authors A'yunin, Qurhata Anam, M Khairul Andre Febrian Kasmar Andrew Kurniawan Vadreas Arsyah , Ulya Ilhami Arsyah, Ulya Ilhami Bellia Putri Alfianki Defni Defni Defni Driantama, Dhani Fajar Edwar Rosman Fajar Rachmat Saputra Ganiyu, Ahmad Rizki Akbar Gatc, Julend Hafizun, Altaf Hendra Rotama Heru Sokoco Ideva Gaputra Irene Hasian Irvan Fadil Haris Jonitra, Farhan Juli Lidia Mariani Kaesmetan, Yampi R Kevin kurnia, rahmi putri Laia, Basmida Mardiah , Ainil Maulana, Raihan Efel Meri, Rozi Muhammad Rusli Munawir Munawir Mutia Rahmi Dewi Nasution, Muhammad Ibrahim Nefriardo Armaz, Ilham Nirad , Dwi Welly Sukma Nirad, Dwi Welly Sukma Nissa, Wirda Novi Noviardi, Refli Nuke Sairah Syabrina Percikjernih Riak Telaga Pratama, Fikri Wilya Pratiwi, Mutiana rahmi putri kurnia Ronal Hadi Rosid, Achmat Roy Ibrahim Rozali Ilham Sekar Arum Sevti Try Astuti Sicilia Afriyani Syah Rany, Erwin Syawaldipa, Ardi Taruma Leo Wijaya Veithzal Rivai Zainal Widianti , Nina Wijaya, Teddy Wirda Nissa Yani Nurhadryani Yori Adi Atma Yosse, Sofia Yulia Jihan Sy Yunika Lestari