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All Journal Jurnal Infra Agora Jurnal Ekonomi & Studi Pembangunan Jurnal Psikologi Ulayat: Indonesian Journal of Indigenous Psychology Computatio : Journal of Computer Science and Information Systems JRSI (Jurnal Rekayasa Sistem dan Industri) JOURNAL OF APPLIED INFORMATICS AND COMPUTING TESLA: Jurnal Teknik Elektro Jurnal Psikologi Ulayat: Indonesian Journal of Indigenous Psychology SULTANIST: Jurnal Manajemen dan Keuangan Technologia: Jurnal Ilmiah Journal of Applied Information, Communication and Technology Journal of Applied Data Sciences International Journal of Social Service and Research Cessie : Jurnal Ilmiah Hukum Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Jurnal Manajemen Sistem Informasi Nexus Synergy: A Business Perspective The International Journal of Medical Science and Health Research Jurnal Pengabdian Masyarakat Trimedika
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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The Effect of Brand Awareness, Brand Image, and Product Quality on Consumer Satisfaction of Oppo Smartphone Users in Pekanbaru Christian, Christian; Wijaya, Evelyn
Nexus Synergy: A Business Perspective Vol. 1 No. 4 (2024): Nexus Synergy: A Business Perspective
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/nexus.v1i4.79

Abstract

The development of communication technology has undergone very significant changes ranging from simple to modern. One of the visible developments in communication technology is the Smartphone. This study aims to determine and analyze the effect of Brand Awareness, Brand Image, and Product Quality on OPPO Smartphone Users in Pekanbaru. The population of this study is consumers who have OPPO smartphones in Pekanbaru City. Sampling in this study used the Accidental Sampling method, so the sample in this study was 120 respondents. Methods of collecting data through questionnaires and interviews. The analysis technique in this research is the Structural Equation Model (SEM) with the help of Smart Partial Least Square (PLS) 3.0 software. Based on the results obtained in this study, the variables of Brand Awareness, Brand Image, and Product Quality have a positive and significant influence on consumer satisfaction.
Improving Publishing: Extracting Keywords and Clustering Topics Soekamto, Yosua Setyawan; Maryati, Indra; Christian, Christian; Kurniawan, Edwin
Journal of Applied Data Sciences Vol 5, No 2: MAY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i2.199

Abstract

Humans, by nature, are inclined to share knowledge across various platforms, such as educational institutions, media outlets, and specialized research publications like journals and conferences. The consistent oversight and evaluation of these publications by ranking bodies serve to maintain the integrity and quality of scholarly discourse on a global scale. However, there has been a decline in the proliferation of such publications in recent times, partly attributed to ethical misconduct within specific segments of the scholarly community. Despite implementing systems such as the Open Journal System (OJS), publishers grapple with the formidable task of managing editorial and review processes. Compounding the multifaceted nature of scholarly content, manual review procedures often lead to considerable time investment. Thus, a pressing need exists for advanced technological solutions to streamline the article selection process, empowering publishers to prioritize articles for review based on topical relevance. This study advocates adopting a comprehensive framework integrating advanced text analysis techniques such as keyword extraction, topic clustering, and summarization algorithms. These tools can be implemented and integrated by connecting with the database of the existing system. By leveraging these tools with the expertise of editorial and review teams, publishers can significantly expedite the initial assessment of submitted articles. Given the rapid technological advancements, publishers must embrace robust systems that enhance efficiency and effectiveness, particularly in reviewer assignments and article prioritization. This research employs the neural network approach of BERT and K-Means clustering to perform keyword extraction and topic clustering. Furthermore, using BERT facilitates accurate semantic understanding and context-aware representation of textual data. Additionally, BERT's pre-trained models enable its fine-tuning capability to allow customization to specific domains or tasks. By harnessing the power of BERT, publishers can gain deeper insights into the content of scholarly articles, leading to more informed decision-making and improved publication outcomes.
Gold Prices Time-Series Forecasting: Comparison of Statistical Techniques Maryati, Indra; Christian, Christian; Paramita, Adi Suryaputra
Journal of Applied Data Sciences Vol 4, No 4: DECEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i4.135

Abstract

The fluctuation of gold prices throughout the year makes it difficult for both investors and regular individuals to predict the future value. The goal of this research is to utilize various statistical techniques, such as linear regression, naive bayes, and various types of smoothing algorithms, to predict the price of gold. The data used in this study was obtained from Kaggle and is from a 70-year time period. The results showed that using a single exponential smoothing method had the highest accuracy and precision, with a good MAPE score of 7.12%. This study is unique in that it compares multiple algorithms using data over a long time period, and it can be useful for investors and traders in making decisions related to gold prices. Additionally, it can also serve as a reference for future research studies.
Power and Law in The Context of Separation of Powers: A Qualitative Study of The Relationship Between The Executive and The Judiciary Amirudin, Dede; Christian, Christian; Nurseha, Samsudin; Al-aytami, Abdul Musyfiq
International Journal of Social Service and Research Vol. 4 No. 02 (2024): International Journal of Social Service and Research (IJSSR)
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/ijssr.v4i02.737

Abstract

This study aims to delve deeper into the relationship between the executive and the judiciary in the context of separation of powers. Through a qualitative study approach, this study will analyze the dynamics of power and the role of law in influencing the interaction between the two branches of government. The research will involve in-depth interviews with legal practitioners, judges, executive officers, and other relevant stakeholders to gather in-depth qualitative data. Data analysis will be carried out by taking into account theoretical perspectives and concepts related to separation of powers, political power, judicial independence, and the role of law in the government system. The results of this study conclude that a better understanding of the dynamics of power and law in the relationship between the executive and the judiciary provides valuable insights for policymakers and law enforcers in strengthening the separation of powers and improving equitable governance systems.
PENYULUHAN DAN PELATIHAN BANTUAN HIDUP DASAR PADA ORANG AWAM DI IAS AI JANNAH, DEPOK Nazma, Diani; Laksmi, Antin Tri; Panduwaty, Lira; Christian, Christian; Mahardieni, Karlina; Hastuty, Dewi
Jurnal Pengabdian Masyarakat Trimedika Vol. 1 No. 2 (2024)
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/abdimastrimedika.v1i2.20691

Abstract

Bantuan Hidup Dasar (BHD) merupakan keterampilan esensial yang harus dikuasai oleh setiap tenaga kesehatan, terutama dokter, untuk mengatasi situasi darurat seperti henti jantung dan kecelakaan lalu lintas. BHD berperan penting dalam memberikan oksigenasi darurat pada organ vital melalui ventilasi buatan dan sirkulasi buatan hingga fungsi paru dan jantung pulih. Efektivitas BHD sangat penting untuk mencegah kematian sel akibat kekurangan oksigen dengan melakukan resusitasi jantung paru (RJP) dan penggunaan Automated External Defibrillator (AED). Statistik menunjukkan bahwa henti jantung mendadak merupakan penyebab utama kematian di dunia, dengan prevalensi yang signifikan di Indonesia. Penyakit jantung koroner dan gagal jantung adalah penyakit jantung yang umum terjadi pada orang dewasa, dan prevalensi henti jantung lebih tinggi pada perempuan serta penduduk perkotaan. Kegiatan Pengabdian Kepada Masyarakat ini ditujukan untuk memberikan tambahan pengetahuan tentang apabila ditemukan seseorang mengalami henti nafas dan henti jantung, sehingga diharapkan masyarakat dapat menangani kejadian tersebut secepat mungkin atau segera merujuk ke pusat Kesehatan agar dapat menurunkan angka morbisitas dan mortalitas. Kegiatan dilakukan di AIS Al Jannah, Depok, tanggal 15 Mei 2024. Kegiatan pelatihan BHD di Sekolah IAS Al Jannah Depok, bekerja sama dengan Fakultas Kedokteran Trisakti, menunjukkan bahwa penyuluhan dan simulasi tindakan BHD dapat meningkatkan pengetahuan dan keterampilan peserta secara signifikan. Pelatihan ini memberikan manfaat besar dalam meningkatkan kepercayaan diri peserta dalam memberikan BHD dan kesiapan mereka untuk menerapkan keterampilan ini dalam situasi darurat.
A Comprehensive Literature Review of Red Flag Signs and Symptoms for Patients With Early-Onset Colorectal Cancer Anthony, Anthony; Christian, Christian
The International Journal of Medical Science and Health Research Vol. 5 No. 5 (2024): The International Journal of Medical Science and Health Research
Publisher : International Medical Journal Corp. Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70070/c5qgx796

Abstract

Background: The literature on early-onset colorectal cancer (EOCRC) reveals a complex interplay of symptoms, diagnostic challenges, and the need for increased awareness among both patients and healthcare providers. The systematic review by (Mitchell et al., 2007) underscores the necessity of recognizing red flag symptoms such as rectal bleeding and changes in bowel habits, as these are critical for timely diagnosis and intervention. The study highlights that delays in diagnosis can lead to more advanced disease stages, emphasizing the importance of patient education regarding the seriousness of these symptoms. Literature Review: Further investigations, such as those by (Renzi et al., 2016), reveal that many patients present with significant symptoms well before their diagnosis, indicating a gap in timely medical consultation. The findings suggest that abdominal pain and rectal bleeding are prevalent among emergency presentations, yet many patients do not receive timely evaluations, leading to missed opportunities for early intervention.The exploration of risk factors by (R Syed et al., 2019) highlights the challenges faced by younger patients, who often misinterpret their symptoms, resulting in substantial delays in seeking medical attention. This trend is echoed in the study from Indonesia by (Makmun et al., 2021), which notes that abdominal pain is the most common presenting symptom among early-onset CRC patients. The demographic characteristics presented in this study further emphasize the need for targeted screening and awareness initiatives.. Conclusion: In conclusion, the literature collectively emphasizes the critical need for heightened awareness and education regarding the red flag signs and symptoms of early-onset colorectal cancer. There is a clear call for improved diagnostic protocols and screening strategies to enhance early detection and treatment outcomes for this vulnerable population. Addressing both patient and healthcare provider awareness is essential to mitigate delays in diagnosis and improve prognosis for young patients with EOCRC
THE INFLUENCE OF FINANCIAL INTERNAL AND EXTERNAL FACTORS ON FIRM VALUE THROUGH PROFITABILITY AS A MODERATING VARIABLE IN TECHNOLOGY SECTOR COMPANIES Surya, Vincent Alain; Ariesa, Yeni; Christian, Christian; Darmasaputra, Albert; Felim, Nicholas
SULTANIST: Jurnal Manajemen dan Keuangan Vol. 11 No. 1 (2023)
Publisher : Sekolah Tinggi Ilmu Ekonomi Sultan Agung Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37403/sultanist.v11i1.481

Abstract

This study aims to examine whether the internal factor (cash flow) and external factor (leverage) affect firm value through profitability as a moderating variable in technology sector companies 2018-2021. The method used in this research was a deductive approach, quantitative types, and descriptive characteristics. The number of technology sector companies listed on the IDX is 27 companies which the amount of sample that is selected by using purposive sampling technique is 5 companies. The SmartPLS 3.0 application was used in this study to make it easier for researchers to analyze data. The conclusion obtained show that internal (cash flow) and external (leverage) factors do not affect firm value through profitability as a moderating variable. However, researchers can prove that external factor (leverage) can affect profitability which is evidenced by the p-values in the hypothesis test, namely 0,010<0,05 which indicates that external factor (leverage) have a significant effect on profitability.Keywords: Internal Factor (Cash Flow), External Factor (Leverage), Profitability, and Firm Value.
Enhancing Web Security and Performance with Hybrid Stateless Authentication Mario, Benedictus; Wiradinata, Trianggoro; Christian, Christian
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9251

Abstract

Ensuring operational integrity across industries and protecting sensitive data require strong authentication systems. This paper presents a novel hybrid stateless authentication method that integrates binary payloads, token specifications, and database solutions. By employing a distinctive expiration policy, our proposed approach overcomes limitations inherent in traditional token revocation strategies while achieving token verification speeds that are up to 86 times faster than conventional statefull session-based methods. Overall, through uniformed benchmarking experiments and a comprehensive review of the literature substantiate the performance and security advantages of our method. Ultimately, this hybrid technique offers a more scalable and secure framework for authentication management, enabling efficient and flexible deployment in high-demand distributed environments.
Penerapan Algoritma Greedy Pada Pengaturan Shipping Buku Diknas PT. X Wiratama, Stefani Gisella; Christian, Christian; Johanna, Felita; Gonardi, Jesslyn; Purnomo, Kevin
Jurnal Rekayasa Sistem & Industri Vol 5 No 01 (2018): Jurnal Rekayasa Sistem & Industri - Juni 2018 (In Press)
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v5i01.309

Abstract

PT. X is a company engaged in manufacturing media printing and paper packaging. PT. X has a fixed product that is a Diknas book. The research is focused on the delivery of Diknas book for East Java region with a total time as the main constrain in determining the route which resulted in the minimum delivery cost of Diknas book by taking into account the capacity of the fleet used. The method used in determining the route with the optimal shipping cost is by the Greedy Algorithm method. Research shows that in zone 1 there are 4 shipping routes with range of shipping cost between Rp100,00/kg-Rp200,00/kg by using joint route, zone 2 there are 3 delivery routes with range of shipping cost between Rp190,00/kg-Rp205,00/kg, zone 3 there are 3 shipping routes with a range of shipping costs between Rp130,00/kg-Rp525,00/kg, zone 2 and zone 3 using separate route method and joint route.
Program Pendeteksi Perubahan Fungsi Lahan Menggunakan Metode Ridge Regression Dan Support Vector Machine (Studi Kasus: 95 Kecamatan Di Wilayah Bekasi, Depok Dan Tangerang) Christian, Christian; Hendryli, Janson; Herwindiati, Dyah Erny
Computatio : Journal of Computer Science and Information Systems Vol. 4 No. 1 (2020): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v4i1.7190

Abstract

Tulisan ini membahas tentang perubahan fungsi lahan yang terjadi pada tingkat kecamatan di wilayah Bekasi, Depok dan Tangerang  perlu dipertimbangkan ketika melakukan pengembangan di sekitar kota penyangga Jakarta. Program untuk mendeteksi perubahan penggunaan lahan menggunakan metode Ridge Regression dan Support Vector Machine bertujuan untuk melihat perubahan penggunaan lahan di wilayah Bekasi, Depok dan Tangerang dengan mengklasifikasikan jenis tanah menjadi 4 kelas yaitu kelas hijau, kelas sebagian hijau, kelas impervious, dan sebagian impervious menggunakan citra satelit Landsat 7 dan Landsat 8 pada band Biru, Hijau, Merah, NIR, SWIR-1, dan SWIR-2. Gambar Landsat yang digunakan akan melalui proses preprocessing menggunakan metode koreksi radiometrik Pengurangan Gelap untuk gambar Landsat 7 dan Landsat 8 dan metode gap fill untuk gambar Landsat 7. Setelah itu, pemotongan citra Landsat akan dilakukan ke tingkat kecamatan pada wilayah Bekasi, Depok dan Tangerang. Hasil klasifikasi akan digunakan untuk menentukan perubahan lahan dengan membandingkan dua gambar hasil klasifikasi dengan tahun yang berbeda. Hasil dari makalah ini menunjukkan bahwa model yang menggunakan metode mesin Support Vector memiliki akurasi gain yang lebih baik sebesar 83,00% untuk data Landsat 7 dan 8 dibandingkan dengan model yang menggunakan metode Ridge Regression, yang memiliki akurasi perolehan 61,96% untuk data Landsat 7 dan 61,28% untuk data Landsat 8.
Co-Authors Adi Suryaputra Paramita Al-aytami, Abdul Musyfiq Amirudin, Dede Anthony Anthony Ariesa, Yeni Christian, Natalis Clara Moningka Darmasaputra, Albert Diani Nazma Dyah Erny Herwindiati Edwin Kurniawan Endah Setyaningsih Ernalem Jawak, Pelita Felim, Nicholas Fitriani Fitriani Gonardi, Jesslyn Gonardi, Jesslyn Hang Suharto Hendryli, Janson Hilyah Magdalena I Eng, Kho Indra Maryati Ipung, Heru Purnomo Johanna, Felita Johanna, Felita Laksmi, Antin Tri Lira Panduwaty Mahardieni, Karlina Mario, Benedictus Nurseha, Samsudin Pina, Pina Purnomo, Kevin Purnomo, Kevin Rusdianto Roestam Rustam, Rinaldi Sembiring, Rinawati Septryanti, Ade Silvana, Versia Silvia Rostianingsih Sonya Airini Batubara, Sonya Airini Surya, Vincent Alain Trianggoro Wiradinata Wijaya, Evelyn William Onnyxiforus Purnomo, William Onnyxiforus Wiratama, Stefani Gisella Wiratama, Stefani Gisella Yosua Setyawan Soekamto