Universitas Putera Batam (UPB): Open Journal Systems
Not a member yet
3910 research outputs found
Sort by
PENGARUH BRAND AMBASSADOR, KUALITAS PRODUK DAN E-WOM TERHADAP KEPUTUSAN PEMBELIAN PRODUK AVOSKIN DI KOTA BATAM
Get PDFThis research aims to examine the influence of brand ambassadors, product quality and e-WOM on purchasing decisions of Avoskin products in Batam City. This study uses a quantitative research method. The research sample consisted of 100 respondents who were people who had purchased and used Avoskin products in the Sagulung District, Batam City. The data collection method used was primary data. Data processing used the SPSS Version 26 program. Based on the data and analysis that have been carried out, this study shows that brand ambassadors positively and significantly influence purchasing decisions of Avoskin products in Batam City. In addition, product quality positively and significantly influences purchasing decisions of Avoskin products in Batam City. In e-WOM, it positively and significantly influences purchasing decisions of Avoskin products in Batam City. And simultaneously, brand ambassadors, product quality and e-WOM positively and significantly influence purchasing decisions of Avoskin products in Batam CityThis research aims to examine the influence of brand ambassadors, product quality and e-WOM on purchasing decisions of Avoskin products in Batam City. This study uses a quantitative research method. The research sample consisted of 100 respondents who were people who had purchased and used Avoskin products in the Sagulung District, Batam City. The data collection method used was primary data. Data processing used the SPSS Version 26 program. Based on the data and analysis that have been carried out, this study shows that brand ambassadors positively and significantly influence purchasing decisions of Avoskin products in Batam City. In addition, product quality positively and significantly influences purchasing decisions of Avoskin products in Batam City. In e-WOM, it positively and significantly influences purchasing decisions of Avoskin products in Batam City. And simultaneously, brand ambassadors, product quality and e-WOM positively and significantly influence purchasing decisions of Avoskin products in Batam City
DAMPAK KONTEN MARKETING, SOSIAL MEDIA MARKETING DAN KENYAMANAN ONLINE TERHADAP KEPUTUSAN PEMBELIAN PADA MARKET PLACE AESTHETE.YOURLIFE DI KOTA BATAM
Get PDFThis research aims to explore the impact of content marketing, social media marketing, and online convenience on consumer purchasing decisions online through marketplaces. The development of information technology has transformed consumer shopping habits, making factors such as content marketing, social media marketing, and online convenience crucial in influencing purchasing decisions. Content marketing focuses on providing relevant and valuable information to attract and retain audiences, while social media marketing utilizes platforms like Facebook and Instagram to build more personal interactions with consumers. Online convenience includes aspects such as easy navigation, data security, and fast transaction processes. This research uses primary data from consumer surveys and secondary data from relevant literature. The research findings are expected to provide insights for business practitioners in developing effective digital marketing strategies and help academics gain a deeper understanding of factors influencing consumer behavior in the digital era. Thus, this research aims to contribute to facing the increasingly tight competition in the online market.Penelitian ini bertujuan untuk mengeksplorasi dampak pemasaran konten, pemasaran media sosial, dan kenyamanan online terhadap keputusan pembelian konsumen secara online melalui marketplace. Perkembangan teknologi informasi telah mengubah cara konsumen berbelanja, membuat faktor-faktor seperti konten marketing, media sosial marketing, dan kenyamanan online menjadi krusial dalam mempengaruhi keputusan pembelian. Konten marketing berfokus pada penyediaan informasi yang relevan dan bernilai untuk menarik serta mempertahankan audiens, sementara media sosial marketing memanfaatkan platform seperti Facebook dan Instagram untuk membangun interaksi yang lebih personal dengan konsumen. Kenyamanan online mencakup aspek-aspek seperti navigasi yang mudah, keamanan data, dan proses transaksi yang cepat. Penelitian ini menggunakan data primer dari survei konsumen dan data sekunder dari literatur yang relevan. Hasil penelitian diharapkan dapat memberikan wawasan bagi para praktisi bisnis dalam mengembangkan strategi pemasaran digital yang efektif, serta membantu akademisi memahami lebih dalam mengenai faktor-faktor yang mempengaruhi perilaku konsumen di era digital. Dengan demikian, penelitian ini bertujuan untuk memberikan kontribusi dalam menghadapi persaingan pasar online yang semakin ketat
ANALISIS KESUKSESAN PADA APLIKASI TRANSPORTASI ONLINE DARI PERSPEKTIF PENGGUNA
Get PDFThis study aims to measure the success of the Go-Jek application from a user perspective using the Information System Success Model (ISSM) by DeLone & McLean. Go-Jek, as a pioneer of online transportation in Indonesia since 2010, offers various features that simplify people's daily activities. Using the ISSM approach, this study evaluates six main factors: information quality, system quality, service quality, usage intention, user satisfaction, and net benefits. Data were collected through questionnaires distributed to 100 respondents in Batam City and Tanjungpinang. The analysis results show that information quality, system, and service have a significant influence on user satisfaction. Users feel helped by the ease of application, simple language, and responsive service offered by Go-Jek. In addition, user satisfaction is shown to be a key determinant of reuse intentions, which directly affects the net benefits for users and the company. Go-Jek's success is also supported by continuous innovation in improving user experience. This research provides important insights for PT Go-Jek in developing better technology-based services, while contributing to the literature related to information systems evaluation. This research confirms that the quality of information, systems, and services are key factors that must be continuously improved to maintain user satisfaction and loyalty.Penelitian ini bertujuan untuk mengukur keberhasilan aplikasi Go-Jek dari perspektif pengguna dengan menggunakan model Information System Success Model (ISSM) oleh DeLone & McLean. Go-Jek, sebagai pelopor transportasi online di Indonesia sejak 2010, menawarkan berbagai fitur yang mempermudah kegiatan sehari-hari masyarakat. Dengan pendekatan ISSM, penelitian ini mengevaluasi enam faktor utama: kualitas informasi, kualitas sistem, kualitas layanan, niat penggunaan, kepuasan pengguna, dan manfaat bersih. Data dikumpulkan melalui kuesioner yang disebarkan kepada 100 responden di Kota Batam dan Tanjungpinang. Hasil analisis menunjukkan bahwa kualitas informasi, sistem, dan layanan memiliki pengaruh signifikan terhadap kepuasan pengguna. Pengguna merasa terbantu dengan kemudahan aplikasi, bahasa yang sederhana, dan layanan responsif yang ditawarkan Go-Jek. Selain itu, kepuasan pengguna terbukti menjadi penentu utama niat penggunaan ulang, yang secara langsung memengaruhi manfaat bersih bagi pengguna dan perusahaan. Keberhasilan Go-Jek juga didukung oleh inovasi berkelanjutan dalam meningkatkan pengalaman pengguna. Penelitian ini memberikan wawasan penting bagi PT. Go-Jek dalam mengembangkan layanan berbasis teknologi yang lebih baik, sekaligus berkontribusi pada literatur terkait evaluasi sistem informasi. Penelitian ini menegaskan bahwa kualitas informasi, sistem, dan layanan merupakan faktor kunci yang harus terus ditingkatkan untuk mempertahankan kepuasan dan loyalitas pengguna
ANALISIS SENTIMEN ULASAN GAME EFOOTBALL 2024 PADA PLAYSTORE MENGGUNAKAN ALGORITMA NAÏVE BAYES
Get PDFThe rapid development of technology has made access to digital entertainment easy. This includes online games such as eFootball, which has been downloaded more than 100 million times and received mixed reviews on the Google Play Store. This study examines the sentiment of eFootball user ratings using the Naive Bayes algorithm. The methodological process includes data selection, pre-processing, transformation using CountVectorizer and TF-IDF, and classification with Naive Bayes. From 1500 reviews on Google Play Store, the Naive Bayes model obtained 85% accuracy, 85% precision, 86% repeatability rate, and 85% F1 score. The results of this study show that Naive Bayes is effective for classifying sentiment from eFootball game ratings.Perkembangan teknologi yang cepat telah memudahkan akses ke hiburan digital. Ini mencakup permainan daring seperti eFootball, yang telah diunduh lebih dari 100 juta kali dan mendapatkan ulasan yang bervariasi di Google Play Store. Studi ini mengkaji sentimen dari rating pengguna eFootball dengan memakai algoritma Naive Bayes. Proses metodologis mencakup pemilihan data, pra-pemrosesan, transformasi menggunakan CountVectorizer dan TF-IDF, serta klasifikasi dengan Naive Bayes. Dari 1500 ulasan di Google Play Store, model Naive Bayes memperoleh akurasi 85%, presisi 85%, tingkat pengulangan 86%, dan skor F1 85%. Hasil penelitian ini menunjukkan bahwa Naive Bayes efektif untuk mengklasifikasikan sentimen dari penilaian game eFootball
ANALISIS MONITORING UNTUK PENCEGAHAN AKSES ILEGAL DI DALAM JARINGAN DEPARTEMENT TI PT. PUSRI
Get PDFTechnology plays an important role in human survival in daily activities that cannot be separated from technology. Information technology makes it easy for humans to share information or search for information. Cyber attacks such as malware attacks or hacking attempts are a serious threat to IT networks. The purpose of network security is to anticipate the risk of network threats that can disrupt daily computer network operations. In this study, the author used the Action Research method. This study aims to test and develop, find and design. The network in the IT Department of PT. Pupuk Srwidjaja Palembang is quite safe because when network monitoring was carried out for 10 days on June 6, 2023 to June 22, 2023, there was no illegal access.Technology plays an important role in human survival in daily activities that cannot be separated from technology. Information technology makes it easy for humans to share information or search for information. Cyber attacks such as malware attacks or hacking attempts are a serious threat to IT networks. The purpose of network security is to anticipate the risk of network threats that can disrupt daily computer network operations. In this study, the author used the Action Research method. This study aims to test and develop, find and design. The network in the IT Department of PT. Pupuk Srwidjaja Palembang is quite safe because when network monitoring was carried out for 10 days on June 6, 2023 to June 22, 2023, there was no illegal access
CLUSTERING DALAM MENENTUKAN TINDAK LANJUT HASIL ANNUAL CHECK MENTAL HEALTH DENGAN ALGORITMA K-MEANS
Get PDFAddressing mental health issues has become a priority for the Indonesian government due to the rising prevalence of depression and anxiety, especially in Riau Archipelago Province, which reported as one of the provinces with the highest suicide rates in the country. The World Health Organization has pointed out the deficiencies in data collection, reporting, and knowledge management related to mental health. PT XYZ has collected mental health data through annual medical check-ups utilizing the DASS-21 scale, but this data has not been analyzed to extract useful and actionable insights for management. This research aims to profile the mental health of PT XYZ workers using annual medical check-up data from June to September 2023, involving a total of 3,699 workers. By implementing the K-Means clustering algorithm based on three variables—depression, anxiety, and stress—the analysis revealed that 242 workers were identified in a cluster with severe mental health conditions, 1,271 in a cluster with moderate conditions, and the remaining 2,186 with mild conditions in a cluster.Addressing mental health issues has become a priority for the Indonesian government due to the rising prevalence of depression and anxiety, especially in Riau Archipelago Province, which reported as one of the provinces with the highest suicide rates in the country. The World Health Organization has pointed out the deficiencies in data collection, reporting, and knowledge management related to mental health. PT XYZ has collected mental health data through annual medical check-ups utilizing the DASS-21 scale, but this data has not been analyzed to extract useful and actionable insights for management. This research aims to profile the mental health of PT XYZ workers using annual medical check-up data from June to September 2023, involving a total of 3,699 workers. By implementing the K-Means clustering algorithm based on three variables—depression, anxiety, and stress—the analysis revealed that 242 workers were identified in a cluster with severe mental health conditions, 1,271 in a cluster with moderate conditions, and the remaining 2,186 with mild conditions in a cluster
PREDIKSI MAHASISWA INSTITUT SOSIAL DAN TEKNOLOGI WIDURI JAKARTA BERPOTENSI DROP OUT MENGGUNAKAN ALGORITMA NAÏVE BAYES
No full textUniversities are responsible for producing quality graduates and reducing dropout rates (DO), a serious challenge for the Widuri Institute of Social and Technology (ISTEK). This phenomenon has a negative impact on the quality of education and accreditation, making early identification of students who have the potential to drop out (DO) very crucial. This study aims to apply the Naïve Bayes algorithm to predict the potential for dropout (DO) of ISTEK Widuri students based on data on the activities of the 2021, 2022, and 2023 intakes. Naïve Bayes has proven effective in classifying students at risk of dropping out (DO). The Semester Credit Unit (SKS) attribute is the most dominant indicator, students with low SKS have a high potential for dropping out (DO). Model performance varies for each batch, in the 2021 batch it reached 90% accuracy (100% DO precision, 40% recall), the 2022 batch showed 93.75% accuracy (100% DO precision, 60% DO recall), and the 2023 batch had 86.67% accuracy (100% DO precision, 33.33% DO recall). This model is very good at validating students who are safe from DO (100% recall of Not DO in all batches). Even so, the model still needs to be improved so that it can find all students who are at risk of dropping out (DO) as a whole. The prediction results for students with the potential for DO at ISTEK Widuri Jakarta are expected to support more optimal prevention efforts and contribute to improving the quality of education.Universities are responsible for producing quality graduates and reducing dropout rates (DO), a serious challenge for the Widuri Institute of Social and Technology (ISTEK). This phenomenon has a negative impact on the quality of education and accreditation, making early identification of students who have the potential to drop out (DO) very crucial. This study aims to apply the Naïve Bayes algorithm to predict the potential for dropout (DO) of ISTEK Widuri students based on data on the activities of the 2021, 2022, and 2023 intakes. Naïve Bayes has proven effective in classifying students at risk of dropping out (DO). The Semester Credit Unit (SKS) attribute is the most dominant indicator, students with low SKS have a high potential for dropping out (DO). Model performance varies for each batch, in the 2021 batch it reached 90% accuracy (100% DO precision, 40% recall), the 2022 batch showed 93.75% accuracy (100% DO precision, 60% DO recall), and the 2023 batch had 86.67% accuracy (100% DO precision, 33.33% DO recall). This model is very good at validating students who are safe from DO (100% recall of Not DO in all batches). Even so, the model still needs to be improved so that it can find all students who are at risk of dropping out (DO) as a whole. The prediction results for students with the potential for DO at ISTEK Widuri Jakarta are expected to support more optimal prevention efforts and contribute to improving the quality of education
PENERAPAN METODE MAMDANI DALAM PREDIKSI JUMLAH MAHASISWA BARU TEKNIK INFORMATIKA UNIVERSITAS MUHAMMADIYAH PAREPARE
No full textThis study aims to apply the Mamdani-type Fuzzy Inference System (FIS) to predict the number of new students in the Informatics Engineering Study Program at Universitas Muhammadiyah Parepare. The main problem addressed is the annual fluctuation in student enrollment, which complicates capacity and resource planning. The data used includes historical admission records and questionnaire results from 30 respondents, consisting of lecturers, administrative staff, and program management representatives. The analysis focused on three aspects: ease of use, security and reliability, and user satisfaction and benefits of the application. The results indicate that the Mamdani-based prediction application achieved high accuracy and received positive responses from users. The average agreement rate for ease of use was 90%, security and reliability 87%, and satisfaction and benefits 88%. The strength of the Mamdani method lies in its ability to handle linguistic input variables and uncertainty, providing adaptive and relevant prediction results. However, further development is recommended for the automatic backup feature and result verification mechanisms to enhance data security. Overall, the implementation of the Mamdani method for predicting new student enrollment has proven to be practically beneficial for study program management and provides a theoretical contribution to the application of fuzzy logic in higher education. This research can serve as a foundation for developing more advanced predictive models in the future.This study aims to apply the Mamdani-type Fuzzy Inference System (FIS) to predict the number of new students in the Informatics Engineering Study Program at Universitas Muhammadiyah Parepare. The main problem addressed is the annual fluctuation in student enrollment, which complicates capacity and resource planning. The data used includes historical admission records and questionnaire results from 30 respondents, consisting of lecturers, administrative staff, and program management representatives. The analysis focused on three aspects: ease of use, security and reliability, and user satisfaction and benefits of the application.
The results indicate that the Mamdani-based prediction application achieved high accuracy and received positive responses from users. The average agreement rate for ease of use was 90%, security and reliability 87%, and satisfaction and benefits 88%. The strength of the Mamdani method lies in its ability to handle linguistic input variables and uncertainty, providing adaptive and relevant prediction results. However, further development is recommended for the automatic backup feature and result verification mechanisms to enhance data security.
Overall, the implementation of the Mamdani method for predicting new student enrollment has proven to be practically beneficial for study program management and provides a theoretical contribution to the application of fuzzy logic in higher education. This research can serve as a foundation for developing more advanced predictive models in the future
A Study on Peran Dinas Pemberdayaan Perempuan dan Perlindungan Anak dalam Menangani Pernikahan Dini di Kota Tanjungpinang: Tinjauan Program Dinas Pemberdayaan Perempuan dan Perlindungan Anak dalam Pencegahan Pernikahan Dini
No full textPernikahan dini merupakan salah satu permasalahan sosial yang masih marak terjadi di berbagai wilayah, termasuk di Kota Tanjungpinang. Praktik ini berdampak negatif terhadap pendidikan, kesehatan, psikologi, serta kondisi sosial ekonomi anak, terutama perempuan. Penelitian ini bertujuan untuk menganalisis peran Dinas Pemberdayaan Perempuan dan Perlindungan Anak (DP3A) Kota Tanjungpinang dalam upaya pencegahan pernikahan dini, serta mengidentifikasi hambatan yang dihadapi selama pelaksanaan program. Pendekatan yang digunakan adalah kualitatif dengan metode deskriptif. Teknik pengumpulan data dilakukan melalui wawancara, observasi, dan dokumentasi terhadap tiga informan utama di lingkungan DP3A. Teori peran dari Soerjono Soekanto digunakan untuk memahami bentuk dan implementasi peran lembaga dalam konteks sosial masyarakat. Hasil penelitian ini menunjukkan bahwa DP3A telah menjalankan berbagai program preventif, seperti edukasi hukum, pembentukan forum anak, dan kerja sama lintas sektor. Namun, terdapat hambatan seperti rendahnya kesadaran masyarakat, keterbatasan anggaran, serta minimnya sumber daya manusia. Secara umum, DP3A dinilai cukup optimal dalam menjalankan peran normatif dan aktualnya.
Pernikahan dini merupakan salah satu permasalahan sosial yang masih marak terjadi di berbagai wilayah, termasuk di Kota Tanjungpinang. Praktik ini berdampak negatif terhadap pendidikan, kesehatan, psikologi, serta kondisi sosial ekonomi anak, terutama perempuan. Penelitian ini bertujuan untuk menganalisis peran Dinas Pemberdayaan Perempuan dan Perlindungan Anak (DP3A) Kota Tanjungpinang dalam upaya pencegahan pernikahan dini, serta mengidentifikasi hambatan yang dihadapi selama pelaksanaan program. Pendekatan yang digunakan adalah kualitatif dengan metode deskriptif. Teknik pengumpulan data dilakukan melalui wawancara, observasi, dan dokumentasi terhadap tiga informan utama di lingkungan DP3A. Teori peran dari Soerjono Soekanto digunakan untuk memahami bentuk dan implementasi peran lembaga dalam konteks sosial masyarakat. Hasil penelitian ini menunjukkan bahwa DP3A telah menjalankan berbagai program preventif, seperti edukasi hukum, pembentukan forum anak, dan kerja sama lintas sektor. Namun, terdapat hambatan seperti rendahnya kesadaran masyarakat, keterbatasan anggaran, serta minimnya sumber daya manusia. Secara umum, DP3A dinilai cukup optimal dalam menjalankan peran normatif dan aktualnya
Konservasi Ekosistem Mangrove melalui Pengembangan Ekowisata Berbasis Masyarakat di Kota Batam
Get PDFThis research explores the conservation of mangrove ecosystems through the development of community-based ecotourism in Batam City, Indonesia. Mangroves play a vital role in maintaining coastal resilience, supporting biodiversity, and mitigating climate change, yet in Batam, they face significant pressures from rapid urbanization, land conversion, and industrial expansion. Using a qualitative descriptive approach, data were collected through in-depth interviews, participatory observation, and document analysis involving local communities, government representatives, ecotourism managers, and non-governmental organizations. The findings reveal that community-based ecotourism initiatives, such as those in Kampung Tua Bakau Serip, contribute not only to environmental conservation but also to improving local livelihoods and strengthening social cohesion. However, challenges remain, including limited infrastructure, inconsistent policy implementation, and varying levels of community participation. The study underscores the importance of multi-stakeholder collaboration, integrating conservation efforts with local economic development, and aligning ecotourism practices with the principles of sustainable development. By emphasizing community empowerment and adaptive governance, this research contributes to the broader discourse on sustainable coastal management and offers policy recommendations to strengthen mangrove conservation in Batam and similar urban coastal areas