Article Per Year (5 Year)
p-Index From 2021 - 2026
2.125
P-Index
This Author published in this journals
All Journal INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Jurnal Mantik JATI (Jurnal Mahasiswa Teknik Informatika) JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) Innovative: Journal Of Social Science Research Jurnal Akademisi Vokasi Jurnal Penelitian Terapan Mahasiswa
I Wayan Pio Pratama
Information Technology, Politeknik ELBajo Commodus, Gang Ame Nompos, Labuan Bajo, Nusa Tenggara Timur, Indonesia-86754
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Transportation Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Meningkatkan Wawasan Bisnis dan Strategi Pemasaran pada Toko Deli Point Melalui History Data Transaksi I Wayan Pio Pratama; Ondi Asroni
JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) Vol 4, No 3: Agustus (2023)
Publisher : ICSE (Institute of Computer Science and Engineering)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jpkmi.v4i3.669

Abstract

Abstrak: Program kegiatan masyarakat ini bertujuan untuk melatih karyawan Deli Point dalam menerapkan teknik data science untuk meningkatkan efisiensi bisnis. Pelatihan dilakukan dengan mengajarkan karyawan untuk memanfaatkan salah satu Tools yang telah dikembangkan sebagai alat untuk melakukan olah data dan memberikan rekomendasi terkait penempatan item dan strategi pemasaran. Tool berbasis web tersebut memanfaatkan algoritma FP-Growth dan dikembangkan menggunakan Python Flask. Pelatihan dilakukan melalui observasi situs web Deli Point, komunikasi dengan karyawan melalui WhatsApp, dan melakukan sesi pelatihan tatap muka untuk menjelaskan sistem dan kemampuannya. Hasil pelatihan menunjukkan peningkatan kemampuan karyawan dalam menerapkan teknik analisis data dan memanfaatkannya untuk mendukung pengambilan keputusan yang lebih baik. Kesimpulannya, pelatihan data science merupakan hal yang penting untuk meningkatkan efisiensi bisnis dan memberikan keuntungan kompetitif.Abstract: This is a community service program aimed at training Deli Point employees in applying data science techniques to improve business efficiency. The training was conducted by teaching employees how to use a Tool developed as a means of data processing and providing recommendations related to item placement and marketing strategy. The web based Tool utilize the FP-Growth algorithm and was developed using Python Flask. The training was carried out through observation of the Deli Point website, communication with employees via WhatsApp, and in-person training sessions to explain the system and its capabilities. The results showed an improvement in employees' ability to apply data analyst techniques and use them to support better decision making. In conclusion, data science training is important to improve business efficiency and provide a competitive advantage. 
Analysis of hotel ratings and price range in labuan bajo, Indonesia I Wayan Pio Pratama; Ondi Asroni
Jurnal Mantik Vol. 6 No. 4 (2023): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i4.3513

Abstract

This research aimed to analyze the ratings and reviews of hotels in Labuan Bajo, Indonesia to understand the quality of hotels in Labuan Bajo. Data was collected from a popular online travel booking platform and pre-processed to exclude hotels with less than 10 reviews. K-means clustering was used to identify the optimum number of clusters, which was found to be 3, based on the elbow method. Cronbach alpha analysis was also performed with a value of 0.92, indicating a high level of reliability in the data. Correlation analysis was then performed on each cluster, revealing positive correlations between cleanliness, location, and facilities with overall satisfaction in cluster 0, and negative correlations between cleanliness, service, and value for money with overall satisfaction in cluster 1. The findings from this study imply that further improvement is necessary to meet the expectations of travelers in terms of service, value for money, and cleanliness in hotels located in Labuan Bajo.
Pelatihan Pemanfaatan Aplikasi Edpuzzle Sebagai Media Pembelajaran SMKN 3 Komodo Asroni, Ondi; Pratama, I Wayan Pio; Sudarsana, I Putu Eka; Harjo, Kristoforus Toni; Peong, Hersanius Kurnia
JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) Vol 5, No 1: February (2024)
Publisher : ICSE (Institute of Computer Science and Engineering)

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

Abstract

Abstrak: Beberapa penelitian menunjukkan bahwa penerapan metodologi pembelajaran hybrid berbasis teknologi dapat secara signifikan meningkatkan pemahaman siswa dalam proses pendidikan. Pembelajaran hybrid membutuhkan para pendidik untuk memiliki keterampilan dalam penggunaan teknologi. Inisiatif pemerintah untuk meningkatkan literasi digital siswa menekankan pentingnya pendidikan yang terintegrasi dengan teknologi. Menurut survei yang dilakukan pada tahun 2021 oleh Kominfo dan Katadata, indeks literasi digital Indonesia mencapai 3,407 dari skala 1 hingga 4, menegaskan urgensi untuk memulai program pengabdian masyarakat di sekolah-sekolah, terutama di daerah 3T. SMKN 3 Komodo, yang terletak di Manggarai Barat, NTT, adalah salah satu institusi yang relevan. Wawancara dengan kepala SMKN 3 Komodo menunjukkan bahwa integrasi teknologi dalam proses belajar mengajar belum optimal. Oleh karena itu, program pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kualitas pendidikan dengan memanfaatkan aplikasi edpuzzle. Sesi pelatihan intensif dilakukan untuk 49 guru dan 9 tenaga kependidikan, dengan fokus pada penggunaan teknologi informasi dalam pembelajaran. Ini termasuk pelatihan langsung dalam membuat konten pembelajaran interaktif menggunakan aplikasi Edpuzzle. Hasilnya menunjukkan peningkatan pemahaman guru tentang teknologi pendidikan, menciptakan lingkungan belajar yang lebih interaktif dan menarik bagi siswa. Terdapat juga peningkatan yang signifikan dalam literasi digital siswa, mendorong partisipasi aktif dalam proses pembelajaran. Ini menegaskan pentingnya investasi dalam pengembangan kompetensi guru dan integrasi teknologi. Meskipun demikian, tantangan tetap ada dalam memperluas penggunaan teknologi di berbagai mata pelajaran, melakukan evaluasi terhadap efektivitas teknologi, dan mempromosikan kolaborasi antara lembaga pendidikan dan badan penelitian. Integrasi teknologi dalam pendidikan menghasilkan dampak positif dan membutuhkan fokus berkelanjutan pada pengembangan kompetensi guru, evaluasi teknologi, dan kerjasama antar lembaga untuk mempersiapkan siswa menghadapi tantangan teknologi di masa depan.Abstract: Several studies have shown that the implementation of technology-based hybrid learning methodologies can significantly enhance students' understanding in the educational process. Hybrid learning requires educators to have skills in utilizing technology. Government initiatives to improve students' digital literacy emphasize the importance of education integrated with technology. According to a 2021 survey conducted by Kominfo and Katadata, Indonesia's digital literacy index reached 3.407 on a scale of 1 to 4, underscoring the urgency to initiate community service programs in schools, especially in 3T areas. SMKN 3 Komodo, located in Manggarai Barat, NTT, is one relevant institution. Interviews with the head of SMKN 3 Komodo revealed that the integration of technology into the teaching-learning process is not yet optimal. Therefore, this community service program aims to enhance the quality of education by utilizing the Edpuzzle application. Intensive training sessions were conducted for 49 teachers and 9 educational staff, focusing on the use of information technology in learning. This included direct training in creating interactive learning content using the Edpuzzle application. The results showed an improvement in teachers' understanding of educational technology, creating a more interactive and engaging learning environment for students. There was also a significant increase in students' digital literacy, encouraging active participation in the learning process. This underscores the importance of investing in teacher competence development and technology integration. However, challenges remain in expanding the use of technology in various subjects, evaluating the effectiveness of technology, and promoting collaboration between educational institutions and research bodies. Technology integration in education has yielded positive impacts and requires sustained focus on teacher competency development, technology evaluation, and inter-institutional collaboration to prepare students to face future technological challenges.
PENERAPAN USABILITY TESTING DENGAN MENGGUNAKAN METODE RETROSPECTIVE THINK ALOUD UNTUK PENGUKURAN TINGKAT KEBERGUNAAN APLIKASI WISATA LABUAN BAJO Asroni, Ondi; Pio Pratama, I Wayan; Eka Sudarsana, I Putu; Kurnia Peong, Hersanius; Innuddin, Muhammad
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 2 (2024): JATI Vol. 8 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i2.9409

Abstract

Perkembangan teknologi digital, terutama dalam penggunaan smartphone, memberikan dampak signifikan pada gaya hidup manusia. Aplikasi mobile, khususnya dalam industri pariwisata, menjadi krusial dalam membantu wisatawan merencanakan perjalanan dengan efisien. Labuan Bajo, sebagai destinasi wisata terkenal di Indonesia, meluncurkan Aplikasi Wisata Labuan Bajo pada 25 November 2022, bertujuan memberikan informasi penting bagi wisatawan dan mendukung masyarakat lokal. eskipun telah diluncurkan, belum ada penelitian khusus menggunakan usability testing, seperti metode retrospective think aloud, untuk mengukur tingkat kebergunaan aplikasi tersebut. Oleh karena itu penelitian ini bertujuan untuk mengukur efektivitas, efisiensi, dan kepuasan pengguna terhadap Aplikasi Wisata Labuan Bajo. Melibatkan sepuluh responden dari berbagai latar belakang, termasuk sembilan wisatawan mancanegara dan satu wisatawan domestik, dalam rentang usia 20-59 tahun. Dengan memberikan tugas terkait fitur aplikasi, penelitian menganalisis tingkat keberhasilan, waktu penyelesaian, dan skor kepuasan pengguna. Hasil menunjukkan tingkat penyelesaian tugas mencapai 96%, menandakan efektivitas aplikasi yang baik. Meskipun demikian, efisiensi berdasarkan metode time-based efficiency hanya mencapai 13,1%, menunjukkan potensi peningkatan efisiensi. Skor kepuasan pengguna (SUS) sebesar 84,25 mengindikasikan kepuasan umum pengguna terhadap aplikasi, meskipun beberapa aspek seperti konsistensi fungsi dan kompleksitas perlu ditingkatkan. Aplikasi Wisata Labuan Bajo efektif dalam penyelesaian tugas, tetapi memerlukan perbaikan dalam efisiensi dan desain guna meningkatkan pengalaman pengguna secara keseluruhan
Perancangan Aplikasi Deteksi Motif Songke Manggarai Berbasis Pengolahan Citra Digital untuk Promosi dan Pemasaran Sentra IKM Tenun Molas Poco Lembor Sabatani Jangku, Wilhelmus; Yosef Seran, Marius; Wayan Pio Pratama, I; Putu Eka Sudarsana, I; Fhelly Djun, Sisilia; Toni Harjo, Kristoforus; Made Dwija Oka Negara, I; G.C. Widiyanto, Angling
Innovative: Journal Of Social Science Research Vol. 5 No. 4 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i4.20810

Abstract

Penelitian ini bertujuan merancang dan mengembangkan aplikasi berbasis pengolahan citra digital untuk mendeteksi dan mengklasifikasikan motif Songke Manggarai. Dengan memanfaatkan algoritma Convolutional Neural Network (CNN) berbasis MobileNetV2 dan teknik augmentasi data, sistem mampu mendeteksi enam jenis motif Songke dengan akurasi mencapai 95%. Aplikasi ini dibangun berbasis web menggunakan Flask sebagai backend dan TensorFlow/Keras sebagai engine machine learning. Hasil penelitian menunjukkan bahwa sistem dapat membantu pelaku IKM dalam mendokumentasikan, mengenali, serta mempromosikan produk tenun Songke secara digital, sekaligus memperluas jangkauan pasar melalui teknologi.
Exploring the Depths of Market Basket Analysis: A Comprehensive Guide to Transaction Analysis with FP-Growth and Apriori Algorithms Pratama, I Wayan Pio
invotek Vol 23 No 2 (2023): INVOTEK: Jurnal Inovasi Vokasional dan Teknologi
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/invotek.v23i2.1094

Abstract

This research investigates the role of data science in understanding customer behavior and enhancing sales, focusing specifically on the application of Apriori and FP-Growth Algorithms at a retail store, Deli Point, in Labuan Bajo. It illuminates the impact of 'rubbish data' on transactional data analysis, emphasizing the need for robust data cleaning procedures to ensure accurate results. Utilizing the faster FP-Growth Algorithm, the study effectively analyzed customer purchasing patterns to identify optimal product combinations for sales improvement. It discovered that 'parsley local' and 'mint flores' items had the highest support with a value of 0.036, indicating that strategic placement of these items together could enhance sales. The rule between chicken leg bone, orange sunkist, and chicken breast boneless was found to have a high confidence value and a lift value higher than 1, implying a higher potential for these items to be sold when positioned near each other. This study contributes to understanding consumer behavior and provides insights for enhancing sales and competitiveness in the retail industry. An association rule involving 'chicken leg bone’, 'orange sunkist', and 'chicken breast boneless' demonstrated high confidence and a lift value above one, suggesting significant sales potential when these items are grouped together. This study not only contributes valuable insights into retail consumer behavior and effective product placement strategies but also underscores the transformative role of data science in optimizing sales and boosting competitiveness in the retail sector.
Uncertainty and stability analysis of data-driven inversion using support vector regression Pratama, I Wayan Pio
Jurnal Mantik Vol. 9 No. 4 (2026): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v9i4.6957

Abstract

This study examines learning-based inversion through the lens of inverse problem theory, focusing on uncertainty propagation, conditioning, and identifiability rather than pointwise prediction accuracy alone. Inverse estimation is formulated as a stochastic mapping in which observational noise is explicitly propagated through learned inverse models. A controlled one-dimensional nonlinear inverse problem is constructed using synthetic forward operators to systematically isolate noise-induced instability and non-uniqueness effects. For an injective nonlinear forward mapping, Support Vector Regression (SVR) with a radial basis function kernel and linear regression are trained to approximate the inverse operator from noisy observations. Monte Carlo noise propagation is employed to estimate bias and variance of inverse predictions and to compare empirical uncertainty amplification with theoretical predictions derived from local inverse conditioning. While SVR significantly outperforms linear regression in terms of inverse accuracy, the results demonstrate that inverse uncertainty is primarily governed by the conditioning of the forward operator and is modulated by model regularization. The analysis is extended to a non-injective forward operator to investigate identifiability loss in learning-based inversion. In this setting, both models collapse inherently multi-valued inverse mappings into unimodal and overconfident estimates, revealing implicit solution selection driven by data distribution and regularization. These findings show that low prediction error can be misleading in non-identifiable inverse problems. Overall, this work highlights the limitations of deterministic learning-based inversion and underscores the need for uncertainty-aware and distribution-preserving approaches when addressing ill-conditioned or non-injective inverse problems.
Exploring Two Methods of Usability Testing: System Usability Scale And Retrospective Think-Aloud I Wayan Pio Pratama; Eka Sudarsana I Putu Eka Sudarsana; Angling Angling Galih Cahaya Widiyanto
JURNAL AKADEMISI VOKASI Vol 2 No 1 (2023): Jurnal Akademisi Vokasi
Publisher : Pusat Penelitian dan Pengabdian Politeknik eLBajo Commodus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63604/javok.v2i1.26

Abstract

This research was conducted to measure the usability of a system using two methods, RTA (Retrospective Think Aloud) and SUS (System Usability Scale). An object used in this research was shazam. The subject were 5 people, who are smartphone users in the age range of 10 to 50 years old. Finally, in this research RTA method showed that the shazam application is effective with a completion rate of 94.3% and efficient with a time-based efficiency of 0.108 task/second. While SUS showed that Shazam is still categorized as a class B application.
IMPLEMENTASI SUPPORT VECTOR MACHINE DALAM PREDIKSI HARGA RUMAH I Wayan Pio Pratama
JURNAL AKADEMISI VOKASI Vol 2 No 2 (2023): Jurnal Akademisi Vokasi
Publisher : Pusat Penelitian dan Pengabdian Politeknik eLBajo Commodus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63604/javok.v2i2.54

Abstract

This study aims to predict house prices in the United States based on features such as Avg. Area Income, Avg. Area House Age, Avg. Number of Rooms, and Area Population. The dataset used consists of several thousand entries without missing values. Through initial data exploration, a significant correlation was found between several features and house prices. Outliers were analyzed and considered in the modeling process. The Support Vector Machine (SVM) algorithm with various kernels was applied, where the Radial Basis Function (RBF) kernel showed the best performance, explaining about 70.78% of the variation in house prices. The results of this study highlight the potential of the SVM algorithm in property price prediction and provide insights for further property analysis.
ANALISIS DEMOGRAFIS DAN GEOGRAFIS MAHASISWA POLITEKNIK ELBAJO COMMODUS Kristoforus Toni Harjo; I Wayan Pio Pratama; I Putu Eka Sudarsana; Ondi Asroni; Hersanius Kurnia Peong; Angling G.C. Widiyanto; Firmanus Ardiman
JURNAL AKADEMISI VOKASI Vol 2 No 2 (2023): Jurnal Akademisi Vokasi
Publisher : Pusat Penelitian dan Pengabdian Politeknik eLBajo Commodus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63604/javok.v2i2.85

Abstract

This analysis examines the student enrollment patterns at Politeknik ELBajo Commodus, highlighting the geographic dynamics and their impact on student recruitment. Utilizing the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm and calculating the physical distance between students' original schools and the Politeknik campus, the study reveals clear geographic clusters, with a high concentration of students near the Politeknik, as well as the identification of prospective students from underrepresented remote areas. The analysis results indicate that distance is a factor influencing enrollment decisions, with students living closer to the campus more likely to enroll. These findings underscore the need for tailored marketing and recruitment strategies, which not only strengthen relationships with schools in clustered areas but also create initiatives targeting remote areas. This research provides recommendations for the development of programs designed to attract students from various geographic backgrounds, as well as the importance of ongoing research to ensure the alignment of the applied strategies with the needs and preferences of prospective students. In conclusion, Politeknik ELBajo Commodus can enhance its recruitment strategies by adopting a more focused approach and a greater diversification in its student base. keywords: Geospatial Analysis, DBSCAN Clustering, Recruitment Strategies, Educational Marketing, Access to Education.
Co-Authors Angling Angling Galih Cahaya Widiyanto Angling G.C Widiyanto Angling G.C. Widiyanto Eka Sudarsana Eka Sudarsana I Putu Eka Sudarsana Eka Sudarsana, I Putu Fhelly Djun, Sisilia Firmanus Ardiman G.C. Widiyanto, Angling Hersanius Kurnia Peong I Putu Eka Sudarsana Kristoforus Toni Harjo Luh G.E.A. Saputri Made Dwija Oka Negara, I Marius Yosef Seran Muhammad Innuddin Ondi Asroni Putu Eka Sudarsana, I Sabatani Jangku, Wilhelmus Sudarsana, I Putu Eka Toni Harjo, Kristoforus