cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mutammimul Ula
Contact Email
mutammimul@unimal.ac.id
Phone
+6281328661999
Journal Mail Official
jurnal.sisfo@unimal.ac.id
Editorial Address
Prodi Sistem Informasi Fakultas Teknik Universitas Malikussaleh Kampus Utama Cot Tengku Nie Reuleut Muara Batu, Aceh Utara, Provinsi Aceh, Indonesia Telp : +62.645.41373, Fax : +62.645.44450
Location
Kota lhokseumawe,
Aceh
INDONESIA
Sisfo: Jurnal Ilmiah Sistem Informasi
Published by Universitas Malikussaleh
ISSN : 2598599X     EISSN : 25990330     DOI : https://doi.org/10.29103/sisfo.v6i1.7950
Core Subject : Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Library & Information Science Mechanical Engineering
Jurnal Sistem Informasi Merupakan bidang keilmuan sistem informasi dan teknologi informasi dengan memuat artikel ilmiah penelitian murni dan terapan serta ulasan mengenai metode dan perkembangan teori, serta ilmu-ilmu terapan yang terkait dengan teknologi informasi serta informatika.Jurnal Sistem Informasi diterbitkan oleh Program Studi Sistem Informasi. Redaksi mengundang para peneliti, praktisi untuk menulis artikel ilmiah di bidang yang berkaitan dengan sistem informasi dan teknologi informasi serta informatika.Jurnal Sistem Informasi diterbitkan 2 (dua) kali dalam 1 tahun pada bulan Mei dan Oktober.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 238 Documents
 19   20   21   22   23 
A Design and Build a Smart Waste Collection Platform Based on Community Empowerment Rudi Setiawan; Apriansyah Apriansyah
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.26799

Abstract

The existence of waste is one of the common problems that occur in big cities such as in Indonesia. With the existing waste, most of the waste produced cannot be transported to the landfill, causing environmental and health problems. On the other hand, waste also has economic value. Research on waste problems is mostly carried out in a non-ICT platform approach with recommendations for handling waste at high costs. This research proposes a design in waste management using the help of information technology where people can dispose of waste online and people who work as waste haulers get rewarded. This research produces an ICT Platform that can be a massive solution in handling waste problems involving community participation.
Design and Implementation of an Integrated Digital Archive System for Supporting Academic Personnel Services Muhammad Davi; Muhammad Reza Zulman; Muhammad Arhami
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.26889

Abstract

Digital archive management in higher education institutions often faces challenges, including document fragmentation, inefficient retrieval, and data loss risks arising from semi-manual processes. This study aims to develop an integrated digital archive system to support personnel services for lecturers at Politeknik Negeri Lhokseumawe. The research employs APKL (Actual, Problematical, Public Concern, Feasibility) and USG (Urgency, Seriousness, Growth) methods for issue prioritization, followed by a Fishbone diagram for root cause analysis. The system was developed using a structured Software Development Life Cycle (SDLC) with a Human Resource Minimum Viable Product (HR MVP) approach. Evaluation via User Acceptance Testing (UAT) yielded an average score of 4.65 (Excellent category), indicating high user acceptance and system effectiveness. The implementation demonstrates that the system significantly improves document management efficiency, ensures data consistency, and accelerates personnel administrative services. This study concludes that the integrated digital archive system provides a robust, adaptive, and practical solution for enhancing administrative quality in higher education environments. Furthermore, the system incorporates intelligent software features, including automated document classification, proactive validation, and efficient search capabilities.
Performance And Fault Tolerance Analysis Of Load Balancing Strategies In Microservices Architecture With Controlled Failure Injection Muhammad Reza Zulman; Husaini Husaini; Rahmad Hidayat; Muhammad Davi
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.26893

Abstract

Microservices architecture has become the dominant paradigm in modern application development; however, optimal load distribution and resilience against failures remain significant challenges. This study aims to empirically evaluate and compare the performance and fault tolerance of three load balancing strategies (Round Robin, Least Connection, and Weighted Round Robin) under varying load levels and controlled failure injection scenarios in a microservices architecture. The experiment was conducted using a Node.js and NGINX-based e-commerce system under three load levels with three replications per condition. The results show that under normal conditions, all three strategies deliver comparable performance (median difference < 5 ms). Significant differences emerge in tail latency (P99) at high load: Weighted Round Robin records the lowest (292.2 ± 13.7 ms), followed by Least Connection (313.1 ± 54.7 ms) and Round Robin (361.0 ± 67.4 ms). Under dual service failure (50% capacity loss), Round Robin's P99 spikes by 827%, while Least Connection and Weighted Round Robin remain stable (< 1%). Least Connection and Weighted Round Robin are recommended for production systems requiring high fault tolerance.
SENTIMENT ANALYSIS OF COMMENTS ON THE HASHTAG #BUBARKANDPR ON TWITTER USING THE NAÏVE BAYES METHOD Hendri Saputra; Abdul Rohman
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.26930

Abstract

The development of social media, particularly Twitter, has positioned it as a primary platform for expressing public opinion on political issues in Indonesia. One phenomenon that has attracted significant attention is the viral hashtag #BubarkanDPR, which reflects increasing public criticism of the performance of the legislative institution. Several previous studies have shown that the Naïve Bayes machine learning method performs well in sentiment classification tasks. A review of five relevant journals reveals varying accuracy levels: (1) tweet-based sentiment analysis on corruption achieved an accuracy of 82–87%, (2) sentiment analysis of anti-corruption campaigns reached 84%, (3) research on public sentiment toward the Corruption Eradication Commission (KPK) showed a Naïve Bayes accuracy of 82%, (4) a study on the revision of the KPK Law reported an accuracy of 78%, and (5) a comparative study of methods on corruption and tax issues recorded an accuracy of 80% for Naïve Bayes. These findings confirm that Naïve Bayes is consistently applied to political and sensitive topics with stable performance. This study examines public sentiment toward the hashtag #BubarkanDPR by applying the Naïve Bayes method. Data were collected through crawling Twitter comments and processed through several stages, including cleaning, case folding, tokenization, stopword removal, and stemming. The model was evaluated using a confusion matrix. The results show that the model achieved an accuracy rate of 77%, which is consistent with the accuracy range reported in several previous studies. Thus, Naïve Bayes is proven to be sufficiently effective in analyzing sentiment on dynamic and controversial political issues. This study provides insights into public perception and can serve as a reference for further research on social media–based public opinion analysis.
Theft Detection System Using Laser Based on Arduino Uno Riyadhul Fajri; Zulkifli Zulkifli; Denny Prananda
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.26938

Abstract

The increasing number of theft cases demands an effective, simple, and affordable security system. This research aims to design and implement an Arduino Uno-based burglar detection system utilizing laser light as a detection medium. This system works based on the principle of breaking the laser light directed to a Light Dependent Resistor (LDR) receiver sensor. When the laser light is blocked by an object, a change in light intensity occurs which is then processed by the Arduino Uno to activate an alarm as an indicator of interference. The research methods used include hardware and software design, system assembly, and tool performance testing. The test results show that the system is able to detect interference in real-time with a fast response and a good level of reliability. In addition, this system has advantages in terms of economical costs, ease of implementation, and flexibility for further development, such as integration with an Internet of Things (IoT)-based notification system. Based on the design and testing results, the Arduino Uno-based burglar detection system using a laser sensor can work well in detecting interference. The system is able to respond quickly when the laser light is broken by activating an alarm as a warning sign. From the test results, it can be concluded that this tool has a fairly good level of reliability, is easy to design, and has a relatively low cost. In addition, this system is also flexible and can be further developed by adding features such as remote notification or integration with IoT technology. Thus, this system can be used as an alternative solution to improve environmental security simply, effectively, and efficiently. In the future, the use of more sensitive and stable sensors, such as photodiodes or infrared sensors, can be considered to improve detection accuracy. As well as the addition of backup power sources (batteries or UPS) so that the system continues to function during power outages. With the presence of a laser that will control home security when residents are not at home and become more comfortable when left alone. Home residents through this tool system will be able to know the motion data between the sensor and objects that become obstacles. The status of the movement is displayed through sound and its status is displayed by LED lights.
Design and Construction of an Automatic Egg Incubator Based on the Atmega 328 Microcontroller Hannan Asrawi; Iskandar Zulkarnaini; Septiannur Septiannur
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.26939

Abstract

An ATmega328 microcontroller is used as the control center connected to the DHT11 sensor in the automatic egg incubator. The LCD is used to display and monitor temperature and humidity values ​​in real time. Temperature and humidity are two main factors that greatly influence the success of the egg hatching process, in addition to air circulation and egg rotation. However, simple egg incubators on the market generally only focus on temperature and humidity control displayed on the LCD. System testing was carried out using an experimental method, namely through direct trials using the designed egg incubator. Several eggs were placed in the machine to be conditioned according to the specified parameters. Temperature and humidity monitoring was carried out via the LCD for the first two hours with a check interval of every 10 minutes. The system is also equipped with an automatic egg rotation mechanism using a 5-volt servo motor. The servo functions to move the egg rack to produce an 18° tilt angle alternately and continuously, to ensure even heat distribution. The DHT11 sensor is capable of detecting temperature and humidity levels suitable for the incubation process of chicken eggs, which range from 36°C to 39°C and humidity levels between 55% and 65%. This study aims to implement a temperature and humidity control system in a chicken egg incubator to increase the percentage of successful hatching and ensure the servo motor can work properly in automatically adjusting the position of the egg rack according to the specified time.
Multimedia-Based Learning Media for I'tikad 50 at Dayah Darusysyari'ah sriwinar sriwinar; Qamar Syafawi; Cut Rahmawati; Fitri Rizani
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.26946

Abstract

This study aims to develop and test the effectiveness of interactive multimedia-based learning media on the I'tikad 50 material in Islamic boarding schools. The background of this study is the dominance of conventional learning methods in delivering aqidah material, making it less interesting and making it difficult for students to understand abstract concepts. The learning media developed is interactive multimedia based on Adobe Flash that combines various elements such as material text, audio narration, interactive animation, and evaluation quizzes with direct feedback. This media is designed with an attractive and interactive display to increase student involvement in the learning process. The results of validation by material experts and media experts indicate that the developed learning media is in the very feasible category. The results of trials with students show an increase in understanding of the I'tikad 50 material, which is seen from the increase in learning outcomes. In addition, this media is also able to increase students' interest and motivation to learn. The solution offered in this study is the use of Adobe Flash-based media is effective in increasing students' understanding and motivation to learn, and can be used as an innovative alternative to overcome the limitations of conventional learning methods in Islamic boarding schools. Thus, the use of interactive multimedia based on Adobe Flash has proven effective as an innovative learning media in Islamic boarding schools.
Application of ADASYN and Bayesian Optimization to Random Forests for Cervical Cancer Classification Restu Kharrisa Andini; Iis Afrianty; Muhammad Fikry; Fadhilah Syafria
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.26973

Abstract

Accurate early detection is crucial for reducing mortality rates from cervical cancer. However, the application of machine learning to medical data is often hindered by class imbalance, causing prediction results to be biased toward the majority class. On the other hand, the process of parameter search using conventional methods such as GridSearchCV requires significant computational time. Therefore, this study proposes the application of the ADASYN (Adaptive Synthetic Sampling) method and Bayesian optimization to the Random Forest algorithm. In its implementation, ADASYN is used to adaptively synthesize minority data samples to rebalance their distribution. Meanwhile, Bayesian optimization serves to determine the optimal hyperparameter combination through a faster probabilistic approach. Model evaluation was conducted across four testing scenarios with training-to-test data splits of 90:10, 80:20, and 70:30. Findings from this study indicate that the standard Random Forest algorithm still produces biased predictions. However, classification performance improved significantly after the model was combined with ADASYN and Bayesian Optimization. The optimal results were achieved at a 70:30 ratio, recording accuracy of 98.06%, precision of 97.03%, recall of 99.13%, and an F1-score of 98.07%, with a computation time of 32.66 seconds. Overall, the proposed model successfully addresses data imbalance while reducing optimization time, enabling it to predict biopsy diagnoses with high precision.
Naive Bayes Classification Model Analysis of Livable Housing Model Based on Physical Characteristics Burhanuddin Burhanuddin; Emi Maulani; Syarifah Asria Nanda; Cut Agusniar; Fadhliani Fadhliani
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.26974

Abstract

Analysis of Naive Bayes Classification Model of Livable Housing Model Based on Physical Characteristics is one of the crucial aspects in improving the quality of life and welfare of the community. This study aims to examine the application of the Naive Bayes classification method in determining the level of livability based on the physical characteristics of the building. The dataset used is house data that includes several variables, namely roof condition (good, damaged), wall type (wall, semi-permanent, wood), floor condition (ceramic, cement, soil), building area (<36 m², ≥36 m²), ventilation (adequate, inadequate), and sanitation access (adequate, inadequate). The target variable in this study is the housing category, namely livable and uninhabitable. The research stages include data collection, data preprocessing, dividing the dataset into training data and test data, and implementation of the Naive Bayes algorithm. The posterior probability calculation is carried out based on the probability distribution of each variable against the class with a maximum likelihood approach. Model performance evaluation is carried out using a confusion matrix with indicators of accuracy, precision, and recall. The results of the analysis show that the variables of floor condition and sanitation access have the highest probability value against the livable category, thus playing a dominant role in the classification process. Furthermore, these two variables were also shown to have the most significant influence in determining whether housing is habitable or uninhabitable.
Classification Analysis Model of Construction Materials to Support Decision-Making in Construction Projects Emi Maulani; Syarifah Asria Nanda; Burhanuddin Burhanuddin; Ananda Faridhatul Ulva; zahratul fitri
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.26978

Abstract

This study aims to analyze and compare the performance of Gaussian Naïve Bayes and K-Nearest Neighbor (KNN) algorithms in classifying the feasibility of construction materials to support decision-making in construction projects. A quantitative comparative study design was applied using 127 samples of structural building materials collected from 15 contractor companies in Lhokseumawe City, Indonesia. The dataset consists of five predictor variables: price, compressive strength, water absorption, delivery time, and supplier rating. Data preprocessing included missing value imputation, outlier handling using the interquartile range method, normalization using Min-Max scaling, and class balancing using Synthetic Minority Over-sampling Technique (SMOTE). Model evaluation was conducted using accuracy, precision, recall, F1-score, and AUC, while feature importance was analyzed using permutation importance. The results show that the KNN model (k = 5) outperforms Gaussian Naïve Bayes across all evaluation metrics, achieving an accuracy of 92.11% and an AUC of 0.934.

Page 21 of 24 | Total Record : 238

 19   20   21   22   23 

Filter by Year

2017 2026


Reset
Filter By Issues
All Issue Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026 Vol. 9 No. 2 (2025): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2025 Vol. 9 No. 1 (2025): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2025 Vol. 8 No. 2 (2024): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2024 Vol. 8 No. 1 (2024): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2024 Vol. 7 No. 2 (2023): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2023 Vol. 7 No. 1 (2023): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2023 Vol. 6 No. 2 (2022): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2022 Vol. 6 No. 1 (2022): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2022 Vol. 5 No. 2 (2021): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2021 Vol. 5 No. 1 (2021): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2021 Vol. 4 No. 2 (2020): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2020 Vol. 4 No. 1 (2020): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2020 Vol. 3 No. 2 (2019): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2019 Vol. 3 No. 1 (2019): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2019 Vol. 2 No. 2 (2018): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2018 Vol. 2 No. 1 (2018): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2018 Vol. 1 No. 2 (2017): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2017 Vol. 1 No. 1 (2017): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2017 More Issue