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All Journal Legal Opinion Jurnal Rekayasa Material, Manufaktur & Energi JURNAL ATOMIK Jurnal Akuakultur Sungai dan Danau Sorai: Jurnal Pengkajian dan Penciptaan Musik JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi) Seminar Nasional Lahan Suboptimal Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Nusantara Hasana Journal Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) El-Jughrafiyah : Jurnal Geografi dan Terapannya TIMPALAJA: Architecture Student Journal JAMAIKA: Jurnal Abdi Masyarakat Journal of Scientific Research, Education, and Technology Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat Journal Information & Computer (JICOM) Jurnal Pengabdian Masyarakat JURNAL BUANA Jurnal Ilmu Komputer Jurnal Ilmiah Detubuya Journal of Modern Social and Humanities
Wahyu Pratama
STMIK AMIKOM Purwokerto
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology 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 Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Physics Social Sciences Other

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Sistem Pendukung Keputusan Pemilihan Supplier Terbaik pada PT Graha Patriatama Jaya Menggunakan Metode SAW Pratama, Wahyu; Fazrie, Mohammad; Pravitasari, Norma
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol 6, No 02 (2025): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v6i02.12217

Abstract

Dalam era perkembangan teknologi yang semakin maju, sistem pendukung keputusan (SPK) memainkan peran penting dalam meningkatkan kualitas pengambilan keputusan bisnis. PT. Graha Patriatama Jaya merupakan perusahaan jasa desain interior khususnya pemasangan plafon. Sistem pendukung keputusan menggunakan metode Simple Additive Weighting (SAW) dapat dikembangkan untuk meningkatkan efisiensi dalam pemilihan supplier terbaik. Dikembangkan dengan bahasa pemrograman Java dan antarmuka desktop. Aplikasi ini memungkinkan pengambil keputusan PT. Graha Patriatama Jaya untuk memasukkan data supplier, menentukan bobot atribut, dan melihat hasil peringkat secara otomatis.  Hal ini akan membantu meningkatkan kualitas produk dan layanan yang disediakan oleh PT. Graha Patriatama Jaya serta efisiensi dalam pengelolaan persediaan barang. Dengan demikian, pengambil keputusan dapat mengoptimalkan keputusan yang diambil dalam hal pemilihan supplier terbaik.
Pengabdian Masyarakat Pembuatan Website Umkm Oleh-Oleh Tiga Putri Abdillah, Muhammad Syarif; Wulan, Nur; Sitorus, Dicky Andreas; Ramadhan, Fahmi; Pratama, Wahyu; Fauzi, Ilham; Harahap, Renaldy
Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2025): Juni 2025
Publisher : Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/japamas.v4i1.190

Abstract

His study aims to develop a website for the MSME "Oleh-Oleh 3 Putri" to enhance its digital marketing. The methodology includes partner needs analysis, interface design using HTML, CSS, and JavaScript, and the implementation of basic e-commerce features such as a product catalog (20 items), a shopping cart, and a contact page. During the development phase, 100% of the partner’s needs were met based on interviews and direct observation. Internal testing demonstrated 90% ease of navigation according to evaluations by 15 users, along with an 80% improvement in the MSME owner’s knowledge in managing website content through intensive training. Although not yet officially launched, 95% positive feedback was obtained from potential customers regarding visual design and product information through a limited survey. Technical challenges such as payment integration and cybersecurity have been identified as priorities for further development. The main conclusion is that the website is ready to serve as a digital marketing tool for the MSME, with recommendations for phased implementation and ongoing technical support.
SWOT Analysis With Importance Performance Analysis (IPA) Model on QRIS Technology Service for MSMEs Pratama, Wahyu; Latifah, Fitri Nur
JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi) Vol 8 No 2 (2024): August
Publisher : Program Studi Akuntansi Universitas Langlangbuana Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36555/jasa.v8i2.2477

Abstract

This study applies Importance-Performance Analysis (IPA) and (Strengths, Weaknesses, Opportunities, and Threats) SWOT analysis to evaluate Quick Response Code for Payment (QRIS) technology services in Micro, Small, and Medium Enterprises (MSMEs). IPA results show variables in Quadrant I (top priority for improvement), Quadrant II (maintain quality), Quadrant III (low priority), and Quadrant IV (may be excessive). In this context, data security risks and QRIS controllability were identified as top priorities. SWOT analysis, based on IPA results, reveals MSME strengths in security risk control and QRIS controllability, as well as weaknesses in variables that are considered low-priority or possibly excessive. Opportunities lie in potential improvements to data security and QRIS controllability, while threats may arise from variables that are considered low priority or may be overrated. Recommendations involve focusing on developing data security, maintaining good service quality, and efficient resource allocation according to the needs of MSMEs.
PENGARUH MODEL HYRBRID LEARNING BERBASIS TECHNOLOGYCAL CONTENT KNOWLADGE ( TCK ) TERHADAP HASIL BELAJAR SISWA MATA PELAJARAN GEOGRAFI KELAS X IPS DI SMA NEGERI 6 PADANG Pratama, Wahyu; Rahmanelli, Rahmanelli
JURNAL BUANA Vol 7 No 3 (2023): Edisi Pendidikan
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana/vol7-iss3/2827

Abstract

Based on the circular decree of the 4 Ministers Number 03/KB/2021 regarding guidelines for the implementation of learning during the Covid-19 period. With this policy, it is possible for schools to carry out hybrid learning, both by carrying out face-to-face learning activities by utilizing technology in each process. The purpose of this study was to determine the effect of using the Hybrid Learning Model on student learning outcomes. The method used in this study is a quantitative method with the type of experimental research with Pretest-Posttest control group design. The population of this research is class X IPS using purposive sampling technique, the research sample is class X IPS 1 and X IPS 3 SMA Negeri 6 Padang. Data collection techniques used are observation techniques for initial conditions, and test techniques to collect data on student learning outcomes. The data analysis technique used the Independent Samples T Test as a hypothesis test. The results of this study are based on proving the accepted hypothesis using the T test, where the calculation results obtained sig.(2-tailed) of 0.000 with a significant level of 0.005. From the results of the analysis, it is explained that there is a better influence in the use of content technology-based Hybrid Learning learning models in learning compared to conventional models, as well as the average student learning outcomes taught by the hybrid learning learning model is higher with a gain value of 0.76 taught. "effective" compared to conventional models with a gain value of 0.24 which is classified as "less effective"
Hubungan Antara Kecemasan Belajar Matematika dan Kemampuan Pemecahan Masalah Siswa Kelas XI SMA di Masa Pascapandemi Astuti, Yulia; Pratama, Wahyu
Journal of Modern Social and Humanities Vol. 1 No. 3: Journal of Modern Social and Humanities, May 2025
Publisher : Gema Cendekia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71094/jmsh.v1i3.157

Abstract

Penelitian ini bertujuan untuk mengetahui hubungan antara kecemasan belajar matematika dan kemampuan pemecahan masalah siswa kelas XI SMA pada masa pascapandemi. Periode pascapandemi membawa dampak signifikan terhadap kondisi psikologis peserta didik, termasuk dalam konteks pembelajaran matematika yang membutuhkan konsentrasi tinggi dan keterampilan kognitif kompleks. Penelitian ini menggunakan pendekatan kuantitatif deskriptif dengan instrumen berupa skala kecemasan belajar matematika dan tes kemampuan pemecahan masalah. Sampel penelitian terdiri dari 100 siswa kelas XI di salah satu SMA negeri, yang dipilih secara purposive. Hasil analisis data menunjukkan bahwa sebagian besar siswa berada pada tingkat kecemasan sedang hingga tinggi, yang berbanding terbalik dengan tingkat kemampuan mereka dalam memecahkan masalah matematika. Uji korelasi Pearson menunjukkan adanya hubungan negatif yang signifikan antara kecemasan belajar matematika dan kemampuan pemecahan masalah (r = -0,62, p < 0,05). Temuan ini menunjukkan bahwa semakin tinggi tingkat kecemasan yang dialami siswa, maka semakin rendah kemampuan mereka dalam menyelesaikan soal matematika. Oleh karena itu, intervensi psikopedagogis untuk mengurangi kecemasan belajar perlu dipertimbangkan dalam strategi pembelajaran pascapandemi.
TRACKING ECOLOGICAL ISSUES IN MUSIC: KOES PLUS' SONG "KOLAM SUSU" IN NATURAL SYMBOLS Bagaskara, Akbar; Rokhani, Umilia; Molo, Benediktus; Pratama, Wahyu; Alanta Dewa, Daggo
Sorai: Jurnal Pengkajian dan Penciptaan Musik Vol. 18 No. 2 (2025): December
Publisher : Institut Seni Indonesia (ISI) Surakarta

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

Abstract

The purpose of this research is to trace ecological issues in music, especially the song Kolam susu popularized by the band Koes Plus in 1973. The research method used in this research is a qualitative type, in which the form of data is descriptive narrative. Data sources in the research were taken from scientific articles, books, and public space information (netnography). The validation technique applied in this research is the triangulation technique and for the theory of analyzing the meaning of the lyrics used is the semiotic theory of Ferdinand de Sassure. The results of this study found (1) ecological issues have also become a concern for many music artists in the world, (2) Kolam susu songs in general include the first generation of music that represents ecological issues in the case of Indonesia, the popularity of Kolam susu songs also certainly has a strong impact on the distribution of positive ecological messages massively and widely (3) the presence of ecological criticism expression format in song media will make social messages more easily accepted by the public.
Inovasi Agen AI Dalam Sistem Pencatatan Struk Digital Otomatis Berbasis n8n Pratama, Wahyu; Ahda, Fadhli Almu'iini
JURNAL FASILKOM Vol. 15 No. 3 (2025): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v15i3.10366

Abstract

The utilization of workflow automation and multimodal artificial intelligence introduces a new approach to developing an intelligent digital receipt recording system. This study aims to design an automatic transaction processing system by integrating n8n as a workflow engine, Google Gemini AI as a multimodal inference model, and Telegram Bot as a conversational interface. The system is implemented in a self-hosted Docker-based environment to ensure local execution without cloud dependence, enhancing data security and reducing operational costs. An experimental software engineering method was applied using 33 test scenarios consisting of 20 image inputs and 13 text inputs. The system successfully extracted key transaction information such as store name, total amount, and transaction date under various real-world conditions, including blurred images, faded ink, missing text segments, tilted receipts, and imperfect handwriting. Evaluation using a Confusion Matrix produced perfect classification results with 100% accuracy, precision, recall, and F1-score, confirming that all system outputs aligned with actual conditions. The system also demonstrated stable performance with average processing times of 15.8 seconds for text and 17–18.5 seconds for low-resolution images. These results indicate that combining workflow automation and multimodal AI provides an effective and adaptive solution for automatic transaction recording.
Strategies for Strengthening Political Participation of First-Time Voters Through Social Media and Civic Education Hadi, Ayatullah; Hidayatullah; Alam, Nabil; Pratama, Wahyu; Muliadi, Akmal
JURNAL ILMIAH DETUBUYA Vol. 2 No. 4 (2025): September
Publisher : Visi Pencerah Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64581/jid.v2i4.149

Abstract

This study examines strategies to enhance political participation among young voters by integrating social media and civic education. This is done in response to the lack of political understanding and high levels of disinformation experienced by the younger generation. Using the Systematic Literature Review (SLR) method, this study examines 184 documents from various scientific sources published between 2019 and 2024 to identify effective strategies for encouraging political participation among young voters. The findings indicate that social media plays a significant role in disseminating political information quickly and engagingly. At the same time, civics education serves to shape character and foster critical and responsible political awareness. The collaboration between social media, civics education, and contributions from families, schools, and youth organizations is considered effective in increasing active, rational, and sustainable political participation. This study proposes enhancing digital political understanding, developing innovative political campaigns, and systematically engaging various parties to cultivate a generation of intelligent and integrity-driven young voters for the future of Indonesian democracy.
Analisis Sentimen Komentar Netizen Terhadap Isu Ijazah Presiden Joko Widodo Menggunakan Naive Bayes Dengan Pelabelan Fuzzy Logic Berbasis Leksikon Pratama, Wahyu
Jurnal Ilmu Komputer Vol 4 No 1 (2026): Jurnal Ilmu Komputer (Edisi Januari 2026)
Publisher : Universitas Pamulang

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

Abstract

The controversy surrounding the legitimacy of President Joko Widodo's diploma has sparked widespread discussion on social media, generating diverse public comments with positive, negative, and neutral sentiments. This study aims to analyze Indonesian-language sentiment on the issue using a sequential approach that combines Fuzzy Logic-based labeling with Naive Bayes classification. The methodology encompasses several stages: comprehensive text preprocessing (case folding, tokenizing, filtering, and stemming), term weighting with TF-IDF (Term Frequency-Inverse Document Frequency), automated sentiment labeling using lexicon-based Fuzzy Logic with a conservative threshold of ±2, and supervised classification using the Naive Bayes algorithm. A total of 10,027 comments were collected from three major social media platforms Twitter (X), YouTube, and TikTok spanning the period from December 2024 to May 2025. The dataset was divided into 80% training data (8,021 comments) and 20% test data (2,006 comments). The Fuzzy Logic labeling process, utilizing 28 positive keywords and 36 negative keywords, identified a sentiment distribution of 72.38% neutral, 22.98% positive, and 4.64% negative comments. The Naive Bayes model achieved an overall accuracy of 80.76%, demonstrating excellent performance in detecting neutral sentiment (precision 0.82, recall 0.98) but exhibited lower performance for minority classes: positive sentiment (precision 0.70, recall 0.41) and negative sentiment (precision 0.80, recall 0.04). The class imbalance significantly influenced model predictions, with 85.48% of predictions classified as neutral.
Analisis Sentimen Berbahasa Indonesia Menggunakan Preprocessing Teks, TF-IDF, Naive Bayes, dan Logika Fuzzy: Studi Kasus Komentar Netizen tentang Ijazah Jokowi: A Case Study of Netizens' Comments on President Joko Widodo’s Diploma Across Twitter, YouTube, and TikTok Pratama, Wahyu
Journal Information & Computer Vol. 4 No. 1 (2026): Journal Information & Computer
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jicomisc.v4i1.52503

Abstract

Isu keabsahan ijazah Presiden Joko Widodo telah menjadi topik kontroversial yang ramai diperbincangkan di media sosial, memunculkan beragam komentar netizen dengan sentimen positif, negatif, dan netral. Penelitian ini bertujuan untuk menganalisis sentimen netizen berbahasa Indonesia terhadap isu tersebut menggunakan pendekatan hibrida. Proses dilakukan melalui tahapan preprocessing teks (case folding, tokenizing, filtering, dan stemming), pembobotan kata dengan TF-IDF, klasifikasi awal menggunakan algoritma Naive Bayes, serta penyempurnaan hasil klasifikasi dengan Logika Fuzzy untuk menangani ambiguitas dan ketidakpastian bahasa alami. Data sebanyak 10.248 komentar dikumpulkan dari Twitter, YouTube, dan TikTok, dengan 2.082 komentar digunakan sebagai data uji. Hasil menunjukkan bahwa model Naive Bayes mencapai akurasi 82,1%, dan meningkat menjadi 88,5% setelah integrasi dengan Logika Fuzzy. Distribusi akhir sentimen menunjukkan dominasi sentimen netral, diikuti oleh negatif dan positif. Pendekatan ini terbukti efektif dalam mengungkap opini publik secara lebih akurat dan representatif terhadap isu sosial-politik yang sensitif dalam bahasa Indonesia.
Co-Authors A. Eka Oktawati Alam, Nabil Alanta Dewa, Daggo Arifin, M Yusuf Armi, Ilham Astuti, Yulia Bagaskara, Akbar Darmawan, Arif Rizky Defwaldi, Defwaldi Driptufany, Dwi Marsiska Eko Harianto, Eko Endrizal Erizon, Nelvi Fadhli Almu’iini Ahda Fahmi Ramadhan, Fahmi Fajrin, Fajrin Fauzia Azzahra, Fauzia Fazrie, Mohammad Fitri Nur Latifah Hadi, Ayatullah Hanif Hawari, Muhamad Harahap, Renaldy Hidayatullah ILHAM FAUZI Inka Nusamuda Pratama Marliana, Elsa Marwah Marwah Molo, Benediktus Muhammad Faqih Rohmani Muhammad Idris Muhammad Syarif Abdillah, Muhammad Syarif Muliadi, Akmal Nainggolan, Yulina Adelina Nur Wulan, Nur Nursyam Nursyam Nurwahyuningsih Nurwahyuningsih Pangentasari, Dwinda Pratama, Abdul Aziz Pravitasari, Norma Rahmanelli Rahmanelli Rahmatullah . Rani, Alfita Saleh, Chairul Saputra, Ajay Silmi, Hayatus Siti Nurhaliza Sitorus, Dicky Andreas Smith, Muhammad Rizki Surya, Lalu Dicky Tino Hermanto Tisa Amalia, Tisa Umilia Rokhani Waskito Waskito, Waskito Winardi, Lalu Deri Winni Astuti, Winni Yurisman Zainal Abadi Zuhri, Sya’bani