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Sentiment Analysis on Hotel Ratings Using Dynamic Convolution Neural Network Novendra Adisaputra Sinaga; Teddy Surya Gunawan; Wanayumini Wanayumini
Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Vol. 2 No. 1 (2023): Proceeding of International Conference on Information Science and Technology In
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/icostec.v2i1.36

Abstract

Currently, the role of information technology is very important in everyday life because heavy workloads can become easier, communication time can be made shorter and data processing can be faster and more accurate. Hotel ranking sentiment analysis can provide important information for hotel owners and managers to improve the quality of service and guest experience. It can also be used by prospective guests to make the right booking decisions. Sentiment analysis can identify positive or negative feelings from guest reviews. There are 694,213 data reviews about hotels using English which are used as training data. The data was preprocessed and 76,905 vocabularies were obtained by utilizing Word2Vec. The training data was carried out at the encoding stage. The DCNN model is given a K-Max-Polling value of 2. The model is trained for 20 epochs. The model that has been formed is tested with 173,554 data and obtained an accuracy rate of 95%.
MODEL STRATEGI START-UP BUSINESS SEBAGAI UPAYA OPTIMALISASI POTENSI EKONOMI DESA WISATA DALAM MENDUKUNG DIGITAL ECONOMY NASIONAL PADA KEWIRAUSAHAAN DI KABUPATEN SAMOSIR Sumaizar Sumaizar; Novendra Adisaputra Sinaga; Eka Pratiwi Septania Parapat
Jurnal Ekonomi dan Bisnis (EK dan BI) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/ekbi.v6i2.981

Abstract

The urgency of this research is to analyze the implementation of the Start-Up Business Strategy to optimize the economic potential of tourism villages in supporting the national Digital Economy in entrepreneurship in Samosir Regency. The results of the analysis of the implementation of the Start-Up strategy will become a formulation of a strategy that can be used to explore entrepreneurial potential in Samosir Regency. Implementing the Start-Up Strategy is the starting point for the growth of new businesses that have the potential to progress. The emergence of new business opportunities and ideas through a start-up strategy can explore and optimize the village's economic potential, especially entrepreneurship, which has so far been invisible. Adopting technology is one of the best solutions to improve business performance even in the midst of a global crisis. The purpose of this research is to analyze and formulate the implementation of the Start-Up Business Strategy as an Effort to Optimize the Economic Potential of Tourism Villages in supporting the National Digital Economy in Entrepreneurship in Samosir Regency. The results of this research are an analysis and strategy regarding the application of Start Up businesses to improve the digital economy.
TRANSFORMASI FINANCIAL TECHNOLOGY PADA PENGELOLAAN PRODUK HASIL EKONOMI KREATIF UNTUK MENINGKATKAN EKONOMI MASYARAKAT DI DESA WISATA PARDOMUAN MOTUNG William Liang; Novendra Adisaputra Sinaga; Erikson Damanik
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.982

Abstract

The urgency of this research is to build a technology-based financial system that is used by the creative economy community in Pardomuan Motung Village in managing their products. The system built is a form of transformation from a conventional financial management model to a technology-based one. The results of this research have had a big influence on the economic conditions of the business world in Pardomuan Motung because since the Covid-19 pandemic until post-pandemic there have been major changes in financial and business governance in Indonesia from traditional to modern. continue to innovate. So, if the governance and financial system of the creative economy community in Pardomuan Motung Village does not transform, then the businesses they are involved in will find it difficult to develop and compete. The aim of this research is to create a technology-based financial system for managing creative economic products to improve the community economy in the Pardomuan Motung Tourism Village. The system to be built includes financial technology that allows users to carry out financial processing, recording systems and various financial transactions online. The result of this research is a design for an accounting recording system that will be used as a medium for recording all accounting transactions and will produce complete and accurate financial information.
PENGARUH MOTIVASI BERBELANJA HEDON, PROMOSI PENJUALAN DAN GAYA HIDUP BERBELANJA TERHADAP PEMBELIAN IMPULSIF PENGGUNA E-COMMERCE SHOPEE Berlien, Richard; Calen, Calen; Sinaga, Novendra Adisaputra
Jurnal Ekonomi dan Bisnis (EK dan BI) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/ekbi.v7i1.1591

Abstract

This research aims to determine the influence of hedonic shopping motivation, sales promotions and shopping lifestyle on the impulse buying of Shopee e-commerce users, both simultaneously and partially. The type of research used in this research is quantitative research. The population in this study was 45 employees at PT.Metro Makmur Jaya Pematang Siantar. Simultaneously, hedonic shopping motivation, sales promotions and shopping lifestyle influence the impulse buying of Shopee e-commerce users. Impulse buying which is influenced by hedonic shopping motivation, sales promotions and shopping lifestyle is 70% while the remaining 30% is influenced by other factors not examined in this research.
Decision Support System for Purchase of Used Cars using Electre Method Sinaga, Novendra Adisaputra; Purba, Arifin Tua
Journal of Computer Networks, Architecture and High Performance Computing Vol. 1 No. 2 (2019): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v1i2.240

Abstract

- This study aims to build a decision support system that can help facilitate the selection of the right used car for potential buyers. To be able to buy a used car that suits the needs and funds owned by consumers, buyers must consider the many criteria and factors of each used car which consists of various brands that exist today. This study uses the ELECTRE (Elimination and Choice Translation Reality) method. The criteria in the comparison used in this decision support system are documents, cylinder volume, year of production and car price. The ELECTRE method is used in conditions where alternatives that do not meet the criteria are eliminated, and suitable alternatives can be generated. Of the 8 samples of used cars studied, the best recommendation was Ayla (A4) with a total aggregate of 4 and an alternative that was not recommended was Agya (A3) with a total aggregate of 0.
ANALISIS DAMPAK STRATEGI PEDAGOGI TERHADAP MINAT BELAJAR SISWA MENGGUNAKAN RANDOM FOREST Sinaga, Novendra Adisaputra; Pardede, Doughlas; Riyadi, Sugeng
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.2169

Abstract

Student learning interest plays a crucial role in educational success, as it directly influences engagement, comprehension, and academic achievement. This study aims to analyze the influence of pedagogical strategies on students’ learning interest using a machine learning approach with the Random Forest algorithm. Eight aspects of teaching strategies were examined as predictor variables, while learning interest was measured through two main indicators: interest in real-world application of the material and motivation for self-directed learning. Data were collected from 100 students via a Likert-scale questionnaire and analyzed using Orange Data Mining. The model was validated through 10-fold cross-validation and evaluated using accuracy, precision, recall, F1-score, and AUC. The results indicate strong model performance, with 95% accuracy, 96.7% precision, 97.8% recall, and a 97.2% F1-score. Feature importance analysis identified practical activities (P4), an inclusive learning environment (P6), and the use of technology (P3) as the most influential predictors of learning interest. In contrast, variables such as P1, P2, and P8 showed minimal contribution. These findings demonstrate that Random Forest is not only effective for classification tasks but also valuable in identifying key factors for improving pedagogical strategies. The results are expected to inform the development of more adaptive, interactive, and student-centered learning environments.
PENGARUH LINGKUNGAN KERJA DAN BUDAYA ORGANISASI TERHADAP KINERJA KARYAWAN DENGAN KEPUASAN KERJA SEBAGAI VARIABEL INTERVENING PADA PT. PLN (PERSERO) PEMATANGSIANTAR Nainggolan, Grace Agustina Arthauli; Calen, Calen; Sinaga, Novendra Adisaputra
Jurnal Ekonomi dan Bisnis (EK&BI) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/ek&bi.v8i1.1960

Abstract

Abstract The performance of an employee towards the company is very important in the world of work, every company wants its employees to have good performance in working, for that, to create good performance among employees, a good work environment and organizational culture and job satisfaction are needed. This study aims to determine and analyze the influence of the work environment and organizational culture through job satisfaction as an intervening variable that has a positive and significant effect on employee performance at PT. PLN (Persero) Pematangsiantar. The type of research used by the researcher is quantitative descriptive. The population used in this study were all employees of PT. PLN (Persero) Pematangsiantar totaling 55 people who work in all divisions within the company. Data analysis techniques were carried out using path analysis. The results of the study showed that the work environment had a positive and significant effect on employee performance, organizational culture had a positive and significant effect on employee performance, the work environment and organizational culture had a positive and significant effect on employee job satisfaction. Job satisfaction can mediate between work environment and organizational culture on employee performance at PT. PLN (Persero) Pematangsiantar, Data processing using SPSS 22 application. Keywords: Work environment, organizational culture, Job Satisfaction, and Employee Performance
Komparasi Metode Decision Tree, KNN, dan SVM Untuk Menentukan Jurusan Di SMK Novendra Adisaputra Sinaga; Ramadani Ramadani; Khoirunsyah Dalimunthe; Muhamad Sayid Amir Ali Lubis; Rika Rosnelly
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3598

Abstract

The selection of majors for prospective vocational students is the first step in determining the next career. The determination of the major aims so that students can be directed in receiving lessons based on the ability and talent of students and of course when they have graduated have the skills to get a job if they do not continue their studies. Siti Banun Sigambal Private Vocational School is located in Labuhanbatu Rantau Prapat. In realizing one of the missions of SMK, namely Realizing quality learning in Vocational High School, SMK Siti Banun in determining the Department by conducting tests. In classifying data mining techniques can be used, among others Decision Tree, K-Nearest Neighbors (KNN) and Support Vector Machine (SVM). This research was conducted to compare the performance of Decision Tree, KNN and SVM algorithms in determining majors. Of the 245-test data used obtained SVM has an accuracy value of 89%, precision 87% while KNN has an accuracy value of 84%, precision 81% and Decision Tree has an accuracy value of 78% and precision of 75%.
Analisis Persepsi Konsumen terhadap Merek, Kualitas Layanan dan Harga dalam Membangun Loyalitas Industri Jasa (Persepsi Pelanggan Maxim di Kota Pematangsiantar) Edi Siregar; Novendra Adisaputra Sinaga; Henry Dunan Pardede
JURNAL RUMPUN MANAJEMEN DAN EKONOMI Vol. 3 No. 3 (2026): Mei
Publisher : CV. KAMPUS AKADEMIK PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jrme.v3i3.9563

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh persepsi konsumen terhadap merek, kualitas layanan, dan harga dalam membangun loyalitas pelanggan pada layanan transportasi online Maxim di Kota Pematangsiantar. Latar belakang penelitian ini adalah persaingan ketat antar penyedia jasa transportasi online yang menuntut perusahaan memahami faktor-faktor penentu loyalitas pelanggan. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei melalui kuesioner kepada 397 responden yang dipilih menggunakan teknik purposive sampling. Analisis data dilakukan menggunakan regresi linier berganda. Hasil penelitian menunjukkan bahwa variabel merek, kualitas layanan, dan harga berpengaruh positif dan signifikan terhadap loyalitas pelanggan, baik secara parsial maupun simultan. Di antara ketiga variabel tersebut, kualitas layanan memiliki pengaruh paling dominan terhadap loyalitas pelanggan. Hal ini ditunjukkan melalui hasil uji t dan uji F serta nilai Adjusted R Square sebesar 64,9%, yang berarti ketiga variabel tersebut menjelaskan loyalitas pelanggan sebesar 64,9%, sementara sisanya dipengaruhi oleh faktor lain di luar penelitian. Temuan ini menekankan pentingnya perusahaan untuk terus meningkatkan kualitas layanan, membangun citra merek yang positif, dan menawarkan harga yang kompetitif guna mempertahankan loyalitas konsumen.