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All Journal Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Jurnal Manajemen Informatika dan Bisnis Digital International Journal of Health, Engineering and Technology Sevaka: Hasil Kegiatan Layanan Masyarakat
Riszki Fadillah
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Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Dentistry Education Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary Other

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Penerapan Metode Simple Multi-Attribute Rating Technique untuk Pemilihan Lokasi Kos Terbaik di Kawasan UIN Suska Riau Riszki Fadillah; Putri Anglenia; Astia Weni Syaputri; Mustakim Mustakim
Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Vol 5, No 1 (2019): Februari
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/rmsi.v5i1.7377

Abstract

Information needs against boarding houses and the current location are important, to find the location of the boarding houses that fit the desires and confused to its decision because of the many boarding houses that are available. This research will be conducted on the application of the method of a decision support system to select the location of the area's finest boarding houses UIN Suska Riau using a few street names as alternative and criteria that have been tailored to their needs. To help someone chose the location of the boarding houses, then built the expected decision support systems can help a person to choose the location of the boarding houses. The methods used in decision support system is a method of Simple Multi-Attribute Rating Technique (SMART) to select or specify the location of the boarding houses the best there is in the region of UIN Suska Riau. From the results of the completion of a method using SMART obtained the rank of 20 alternatives with rank one in the street Mustamindo with a value of utilities 0.64, in the alley of Iman value utilities is 0.63, and so on until the 20th rank. After the implemented decision support system, further Testing is performed by using the user Acceptance Testing results obtained then the average response i.e. 97%, in accordance with the reality of the expected response. Kata kunci: Boarding House, Decision Support System, Simple Multi-Attribute Rating Technique, SMART.
Edukasi Tentang Pemanfaatan Internet dan Teknologi Internet Of Things (IoT) di Kelurahan Padang Matinggi, Kecamatan Rantau Utara Riszki Fadillah; Intan Nur Fitriyani
Sevaka : Hasil Kegiatan Layanan Masyarakat Vol. 3 No. 1 (2025): Februari : Sevaka : Hasil Kegiatan Layanan Masyarakat
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/sevaka.v3i1.311

Abstract

The utilization of internet technology and the Internet of Things (IoT) has become an integral part of various aspects of modern life, including the development of Community Social Worker (PSM) cadres' capacity. This study aims to provide education on the use of the internet and IoT to PSM cadres in Padang Matinggi Village, Rantau Utara Subdistrict, so they can optimize these technologies in supporting their social work activities. This community service activity is carried out through counseling and training that covers the basics of internet usage, the introduction of IoT concepts, and their application in social data management and community activities. The results of this activity showed a significant improvement in the participants' understanding of the technology provided, measured through pre-test and post-test evaluations. With a better understanding of technology, it is expected that PSM cadres can be more effective in performing their duties and contribute to improving the welfare of the community in Padang Matinggi Village.
Sentiment Analysis on Twitter Social Media towards Najwa Shihab Using Naïve Bayes Algorithm and Support Vector Machine (SVM) Fahruzi Sirait; Desi Irpan; Riszki Fadillah; Rizalina Rizalina; Riswan Syahputra Damanik
International Journal of Health Engineering and Technology Vol. 3 No. 1 (2024): IJHET May 2024
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v3i1.280

Abstract

With the rapid growth of digital technology, social media has become a key platform for sharing information and opinions. Twitter, one of the most popular platforms in Indonesia, enables users to interact directly with public figures such as Najwa Shihab. This study aims to analyze public sentiment toward Najwa Shihab on Twitter using sentiment analysis, specifically employing the Naïve Bayes and Support Vector Machine (SVM) algorithms. Sentiment analysis is essential to understanding public opinion, as it classifies text into categories like positive, negative, or neutral, providing valuable insights into societal perspectives on public figures. In this study, 10,000 tweets related to Najwa Shihab were collected from January 1, 2023, to January 31, 2023. Data preprocessing steps such as data cleaning, tokenization, stopwords removal, and filtering were conducted to ensure high-quality data for analysis. The Naïve Bayes and SVM algorithms were applied using RapidMiner to classify the sentiment of the tweets. The performance of both algorithms was evaluated based on accuracy, precision, recall, and F1-score.The results revealed that SVM outperformed Naïve Bayes in all metrics, demonstrating its superior ability to classify sentiments correctly. The sentiment distribution indicated a majority of positive opinions toward Najwa Shihab, with fluctuations in negative sentiment during specific events. This study provides insights into public sentiment analysis and contributes to understanding social media opinions on public figures.
Analysis of Factors Causing Students' Failure to Complete Their Thesis on Time Using the Random Forest Algorithm Riszki Fadillah; Intan Nur Fitriyani; Nur Indah Nasution; Rahadatul 'Aisy Riadi; Dinda Salsabila Ritonga
International Journal of Health Engineering and Technology Vol. 3 No. 1 (2024): IJHET May 2024
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v3i1.281

Abstract

This research aims to analyze the factors that influence students' delays in completing final assignments using the Random Forest algorithm. The data used includes variables such as GPA, number of credits, employment status, frequency of guidance, organizational activities, and personal motivation. These variables were analyzed to determine their effect on students' ability to complete their final assignments on time. The Random Forest model is applied to predict whether students complete their final assignments on time or not. The model results show an accuracy of 63.33%, with the frequency of guidance and personal motivation being the most influential factors in completing the final assignment on time. Followed by the number of credits and GPA, which also have a significant but smaller influence. Organizational activity factors and employment status have a lower contribution to tardiness, but are still relevant in the context of student time management. Based on these results, research suggests the importance of academic guidance support and motivation management to help students overcome obstacles in completing their final assignments on time. This research, which uses the case of ITKES Ika Bina students, is expected to provide recommendations for universities in improving the academic mentoring process to support student graduation.
Implementation of Password Validation using a Combination of Letters, Numbers and Symbols in the New Student Registration Application Sentosa Pohan; Putri Ramadani; Riszki Fadillah; Yusril Iza Mahendra Hasibuan; Baginda Restu Al Ghazali
International Journal of Health Engineering and Technology Vol. 3 No. 1 (2024): IJHET May 2024
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v3i1.282

Abstract

This research aims to evaluate the implementation of password validation using a combination of letters, numbers and symbols in new student registration applications in increasing the level of application security. This research method involves implementing a password validation system with strict criteria, as well as testing password strength using brute force attacks. The test results show that passwords that meet the criteria take time 150 seconds to be broken using brute force, while passwords that only use letters only take time 10 seconds. Surveys of users show that 70% feel comfortable with this validation system, though 40% find it difficult to create a valid password. As much 85% users consider this system to improve application security. This research suggests that new student registration applications adopt a strict password validation system to increase the protection of users' personal data, while providing solutions for users to create more secure passwords.complex but easy to remember. The implementation of this system is expected to strengthen application security and increase user confidence in the protection of their personal data.
Edukasi Dan Pendampingan Pekerja Informal Dalam Optimalisasi Kepesertaan Sistem Jaminan Sosial Kesehatan Rina Anggraini; Riszki Fadillah
Sevaka : Hasil Kegiatan Layanan Masyarakat Vol. 2 No. 2 (2024): Mei : Sevaka : Hasil Kegiatan Layanan Masyarakat
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/sevaka.v2i2.563

Abstract

Informal
Perkiraan Pola Permintaan Paspor di Kantor Imigrasi dengan Menggunakan Metode Exponential Smoothing untuk Memaksimalkan Layanan Riszki Fadillah; Fitriyani, Intan Nur; Ramadani, Putri; Mardivta, Hafizhah
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 2 (2025): November 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i2.6789

Abstract

This study aims to analyze the passport application patterns at the Immigration Office and forecast the number of applications for the coming years using the Exponential Smoothing (Holt-Winters) model. The data used includes the number of passport applications from 2022 to 2024. The analysis shows a significant increase in applications in the coming years, with predictions for 2025, 2026, and 2027 indicating a consistent growth pattern. While the model demonstrates good accuracy, the Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) calculations indicate overestimation for the 2024 forecast. The application of the Holt-Winters model in forecasting passport applications in the Immigration field is a novel contribution to the literature, as this method is rarely used in this context. The model provides a systematic quantitative approach to predict long-term trends in application data, which is crucial for more efficient service capacity planning. The implications of these findings suggest that, although the model can predict a consistent growth pattern, the overestimation in 2024 highlights the need for model adjustment in the future. Therefore, increasing service capacity through additional staff and optimizing the digital queuing system are strategic steps that should be implemented to handle the projected surge in applications. These measures are essential to ensure efficient service and the Immigration Office's preparedness for the ongoing rise in applications.
Co-Authors Astia Weni Syaputri Baginda Restu Al Ghazali Desi Irpan Dinda Salsabila Ritonga Fahruzi Sirait INTAN NUR FITRIYANI Intan nur Fitriyani Mardivta, Hafizhah Mustakim Mustakim Nur Indah Nasution Putri Anglenia Putri Ramadani Rahadatul 'Aisy Riadi Ramadani, Putri RINA ANGGRAINI Riswan Syahputra Damanik Rizalina Rizalina Sentosa Pohan Yusril Iza Mahendra Hasibuan