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Made Adi Paramartha Putra
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Smart Techno (Smart Technology, Informatic and Technopreneurship)
Published by Universitas Primakara
ISSN : -     EISSN : 25410679     DOI : 10.59356
Core Subject : Science,
Computer Science & IT
Jurnal Smart-Techno merupakan jurnal ilmiah dan bersifat terbuka untuk menampung hasil penelitian ilmiah. Jurnal ini bersifat elektronik dengan harapan memungkinkan penyebaran informasi ilmiah tanpa batas ke seluruh wilayan Indonesia. Secara garis besar, Jurnal Smart-Techno menampung hasil karya ilmiah yang berasal dari penelitian di bidang Smart Technology, Informatics and Technopreneurship. Jurnal online ini terbit 2 (dua) kali dalam setahun yaitu pada bulan Februari dan September secara berkala. Adapun topik-topik yang dapat diterbitkan melalui karya ilmiah ini meliputi bidang-bidang (namun tidak terbatas pada): Technopreneurship Digital Start-up Technology Innovation Virtual Reality Data Mining Data Warehousing Matematika Diskrit Teori Graph Artificial Intelligence Natural Language Processing Robotic Image Processing Microcontroller User Experience (UX) Mobile Computing Distributed/Parallel Computing Communication System Network Security Wireless Communication Internet of Things Smart Home Smart City Smart Village Smart System E government E learning
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 77 Documents
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Clustering of Regencies and Municipalities Based on the Number of Livestock in East Java Province Using the Fuzzy C-Means Method Salsabilla, Intan Agnesa
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 7 No. 2 (2025)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59356/smart-techno.v7i2.158

Abstract

Penelitian ini dilakukan untuk mengelompokkan kabupaten dan kota madya di Provinsi Jawa Timur berdasarkan jumlah populasi hewan ternak dengan tujuan mengetahui pola distribusi wilayah berdasarkan karakteristik peternakan. Pengelompokan dilakukan menggunakan algoritma Fuzzy C-Means dan divalidasi dengan metode Partition Coefficient Index, serta diimplementasikan dalam bentuk aplikasi berbasis website menggunakan framework Laravel. Tahapan penelitian ini meliputi pengumpulan data, normalisasi, proses perhitungan Fuzzy C-Means, evaluasi menggunakan Partition Coefficient Index, hingga profiling karakteristik tiap cluster. Hasil penelitian ini pengujian dari 2 sampai 10 cluster, cluster optimum berada pada jumlah 2 cluster untuk tahun 2021 dan 2022, dengan nilai Partition Coefficient Index tahun 2021 yaitu 0,7507 dan tahun 2022 yaitu 0,7486. Pada cluster optimum tahun 2021 memperoleh cluster 1 dengan 7 kabupaten dan 9 kota, cluster 2 dengan 22 kabupaten. Cluster optimum tahun 2022 memperoleh cluster 1 dengan 21 kabupaten, cluster 2 dengan 8 kabupaten dan 9 kota
Sentiment Analysis Of Comments On Indonesian Political Speech Videos On Youtube Using FastText Khailla Savana, Bella Risma; Arifianto, Deni; Muharom, Lutfi Ali
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 7 No. 2 (2025)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59356/smart-techno.v7i2.159

Abstract

Kemajuan teknologi digital telah mengubah cara masyarakat mengakses dan merespons informasi politik, khususnya melalui platform seperti YouTube yang menjadi wadah diskusi publik. Komentar pada video pidato politik sering kali memuat sentimen yang kompleks seperti ironi, slang, dan campuran bahasa (code-mixing), yang sulit diidentifikasi menggunakan metode analisis sentimen tradisional. Penelitian ini bertujuan untuk menganalisis sentimen komentar publik terhadap pidato politik berbahasa Indonesia di YouTube dengan pendekatan word embedding FastText. Data yang digunakan merupakan kumpulan komentar dari pidato Presiden Indonesia tahun 2014 hingga 2024, dengan klasifikasi sentimen menjadi positif, negatif, dan netral. Hasil penelitian menunjukkan bahwa model FastText memiliki kinerja yang lebih baik dibandingkan pendekatan TF-IDF + Logistic Regression, dengan nilai akurasi sebesar 76,82%. FastText mampu menangkap konteks dan makna yang kompleks dalam teks informal berbahasa Indonesia, serta menunjukkan performa yang lebih seimbang dalam memprediksi ketiga kelas sentimen. Meskipun metode oversampling membantu mendistribusikan prediksi antar kelas secara lebih merata, teknik ini belum memberikan peningkatan yang signifikan terhadap akurasi model secara keseluruhan. Penelitian ini memberikan kontribusi dalam meningkatkan efektivitas analisis sentimen di ranah politik dengan menggunakan bahasa Indonesia.
Clustering of Planted Area, Harvested Area, and Rice Production in Each Village of Jember Regency Using K-Means Clustering and the Davies Bouldin Index Astika, Hestina Restu
Smart Techno (Smart Technology, Informatics and Technopreneurship) Article in Press
Publisher : Primakara University

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Abstract

Rice (Oryza sativa L.) is a cultivated crop that serves as the primary staple food for the majority of Indonesia’s population. East Java Province is one of the regions with the highest rice production in the country. Therefore, increasing rice production is essential to meet national food demands. This study aims to classify villages in Jember Regency based on the variables of planted area, harvested area, and rice production, using data obtained from the official publications of the Jember Regency Central Bureau of Statistics for 2022 and 2023, covering a total of 248 villages. The data were processed using the K-Means Clustering algorithm, followed by determining the optimal number of clusters using the Davies Bouldin Index. The clustering results were visualized in an interactive web-based map through a Geographic Information System. Based on testing cluster counts from 2 to 10, the optimal number of clusters was found to be three, with a Davies Bouldin Index value of 0.605. This study is expected to provide benefits for the Jember Regency Central Bureau of Statistics, the community, and farmers in storing, managing, and disseminating information regarding rice crops in Jember Regency.
Digital Payment Integration in Accounting Information Systems to Support MSMEsRevitalization in Bali: A Literature Review Gita Apsari Dewi; Permana, Dewa Gde Yoga; A.A. Gde Agung Nanda Perwira
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 7 No. 2 (2025)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59356/smart-techno.v7i2.162

Abstract

UMKM merupakan pilar utama perekonomian Bali yang mengandalkan kekuatan budaya lokal dan pariwisata sebagai daya tarik utama. Penurunan jumlah wisatawan akibat pandemi menuntut adanya strategi revitalisasi yang adaptif terhadap perkembangan teknologi, salah satunya melalui digitalisasi pembayaran. Kajian literatur terdahulu menunjukkan bahwa QRIS mampu meningkatkan efisiensi transaksi dan omzet UMKM, namun masih sedikit penelitian yang mengintegrasikan data transaksi tersebut ke dalam Sistem Informasi Akuntansi (SIA) untuk mendukung pengambilan keputusan strategis dalam konteks budaya Bali. Penelitian ini menggunakan metode systematic literature review (SLR) untuk mengidentifikasi temuan, kesenjangan, dan peluang pengembangan dari studi-studi relevan yang terbit dalam lima tahun terakhir. Hasil analisis menunjukkan bahwa integrasi QRIS dan SIA dapat menghasilkan aliran data keuangan yang akurat, real-time, dan transparan, sehingga mempermudah pelaporan, pengendalian biaya, dan perencanaan bisnis. Integrasi ini juga berpotensi mengoptimalkan daya saing UMKM pariwisata di Bali dengan mempertimbangkan faktor budaya seperti nilai Tri Hita Karana dan struktur sosial banjar yang memengaruhi penerimaan teknologi. Penelitian menyimpulkan bahwa keberhasilan implementasi membutuhkan dukungan infrastruktur, literasi digital, serta kebijakan yang selaras dengan konteks sosial budaya lokal.
Digital Marketing Strategy of Threads of Life Ubud in the Context of Local Culture Perwira, Nanda
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 7 No. 2 (2025)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59356/smart-techno.v7i2.166

Abstract

This study aims to identify and analyze digital marketing strategies based on local culture in creative MSMEs, with a case study focus on Threads of Life in Bali. The background of the research is rooted in the significant role of creative MSMEs in the regional economy, particularly in Bali, which possesses rich cultural heritage as a primary resource. However, in the digital era, business actors face challenges such as limited digital literacy, resource constraints, and the need to preserve cultural authenticity in global marketing. The method used is a Systematic Literature Review (SLR) consisting of planning, literature searches in reputable databases (Scopus, Web of Science, Sinta, Google Scholar), study selection based on inclusion–exclusion criteria, data extraction, and content analysis to identify relevant strategy patterns. The findings reveal that Threads of Life successfully utilizes social media platforms such as Instagram and Facebook, as well as its official website, to develop brand storytelling that emphasizes traditional weaving, sustainability, and community empowerment. The integration of local cultural values such as mutual cooperation (gotong royong) and heritage preservation strengthens brand image and competitiveness in the global market. This study contributes novelty by combining perspectives of digital marketing, cultural preservation, and the creative industry within a single analytical framework. Research recommendations include expanding digital collaborations, developing interactive content, and strengthening sustainability narratives to enhance consumer engagement. These findings are relevant as strategic references for culture-based creative MSMEs seeking to optimize digital marketing without losing their local identity.
Sentiment Analysis of Gojek Application User Reviews Using the Long Short-Term Memory (LSTM) Algorithm Firdaussani, Ahmad; Oktavianto, Hardian; Suharso, Wiwik
Smart Techno (Smart Technology, Informatics and Technopreneurship) Article in Press
Publisher : Primakara University

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Abstract

This study was conducted to perform sentiment analysis by identifying patterns or trends in user reviews of the Gojek application using the Long Short-Term Memory (LSTM) algorithm, which was implemented in the form of a simple web-based application or dashboard. In today’s digital era, technological advancements have significantly influenced various aspects of life, particularly the mobile-based transportation service industry. One of the most widely used online transportation services in Indonesia is Gojek. It is essential for Gojek to listen to customer reviews; therefore, sentiment analysis is required to identify patterns or trends within user feedback so the application can better respond to user needs. This research utilizes the Long Short-Term Memory (LSTM) algorithm, a variant of the Recurrent Neural Network (RNN) that incorporates a cell state and gating mechanisms (input, forget, and output gates) to regulate the flow of information. This structure enables LSTM to retain relevant information while discarding irrelevant data, allowing it to capture both short-term and long-term patterns in text reviews. The model was used to analyze sentiment within a dataset collected from 2021 to 2024. The experimental results show that LSTM achieved an optimal accuracy of 78% using a 70:30 dataset split, providing balanced performance across both majority and minority classes, with a significant improvement in the f1-score for each class (0: 0.73; 1: 0.75; 2: 0.85) after applying the SMOTE technique to address class imbalance. Without SMOTE, the highest accuracy reached 83% with the same split (70:30); however, the neutral class could not be detected (f1-score = 0). With SMOTE, although accuracy slightly decreased, the overall performance became more balanced as the neutral class could be properly recognized.
Design and Implementation of a Web-Based Extracurricular Management System at SMP Negeri 04 Kotabumi Agustina, Reni; Gunanto, Sigit
Smart Techno (Smart Technology, Informatics and Technopreneurship) Article in Press
Publisher : Primakara University

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Abstract

This study aims to design and implement a web-based extracurricular management information system at SMP Negeri 04 Kotabumi as a solution to issues in managing activities that are still conducted manually. The previous manual process often resulted in registration delays, data recording errors, and difficulties in activity reporting. The system was developed using the Waterfall method, which includes five main stages: requirements analysis, design, coding, testing, and maintenance. During the analysis stage, observations and interviews were conducted on eight active extracurricular activities, involving 15 supervisors and 120 students. The system was designed using PHP, MySQL, and Bootstrap to create a dynamic and easily accessible interface. Testing was conducted by 10 admins/supervisors and 20 students using Black Box Testing, with five trials for each main feature. The results showed a 100% success rate with no functional errors. Moreover, the implementation of this web-based system increased the average time efficiency by 74.5% compared to the previous manual process and enhanced transparency and effectiveness in managing extracurricular activities at the school.

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