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Hapnes Toba
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JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Published by Universitas Kristen Maranatha
ISSN : 24432210     EISSN : 24432229     DOI : https://doi.org/10.28932/jutisi
Core Subject : Science,
Computer Science & IT
Paper topics that can be included in JuTISI are as follows, but are not limited to: • Artificial Intelligence • Business Intelligence • Cloud & Grid Computing • Computer Networking & Security • Data Analytics • Datawarehouse & Datamining • Decision Support System • E-Systems (E-Gov, E-Health, E-Commerce, etc.) • Enterprise System (SCM, ERP, CRM) • Human-Computer Interaction • Image Processing • Information Retrieval • Information System • Information System Audit • Enterprise Architecture • Knowledge Management • Machine Learning • Mobile Computing & Application • Multimedia System • Open Source System & Technology • Semantic Web & Web 2.0
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 479 Documents
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Implementasi Realtime Cloud Service dalam Pengelolaan Nilai Tugas Akhir Mahasiswa Lydia Noviani Kusumo; Maresha Caroline Wijanto; Robby Tan; Yudita Royandi
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i2.6566

Abstract

Final Project is one of the requirements that must be fulfilled by students to complete their studies at the university. In this case study in a non-technical study program at a private university, each student will be accompanied by two supervisors and will be tested by two examiners. Students will face three trials and each lecturer needs to give an assessment, both the process and the product. The grade of the product is also prioritized because this study program expects that each student can produce a product that has added value for society. With so many things involved and manual recording, it is necessary to create a final assignment grade management system. To simplify implementation, the system is created by utilizing a realtime cloud service, namely Firebase. Firebase is a service from Google to make it easier for developers to develop applications on various platforms. Data is stored in JSON and synchronized in real time to each user. This system can be accessed by Admins and Lecturers, this system is also equipped with a Dashboard as a recapitulation of existing data, trial reminders via email, and data import-export. Based on the survey conducted, it easier for Admins and Lecturers to manage final assignments.
Analisis Emosi Wisatawan Menggunakan Metode Lexicon Text Analysis Rahmadani, Dea Caesy; Khomsah, Siti; Fathoni, M Yoka
Jurnal Teknik Informatika dan Sistem Informasi Vol 10 No 1 (2024): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v10i1.6690

Abstract

Travelers often write comments on the internet, usually about experiences, opinions, and even complaints. Comment data on the internet can provide information for stakeholders. This information can be extracted using text analysis methods such as positive and negative sentiments. Sentiments can be detailed into eight types of emotions. This study aims to extract emotions from tourists' comments on Google Map, especially on tourist-site accounts in BARLINGMASCAKEB. The dataset comments were crawled from ten tourism objects in BARLINGMASCAKEB. The method used is Lexicon Emotion Analysis. The results show that the majority of tourists have positive experiences. It is shown by the emotion "joy" and "trust." Emotions "joy" and "trust" have positive meanings, so it can be said that the majority of tourists feel positive emotions. There are sites that present highest emotions of "joy": Aquarium-Purbasari-Pancuran-Mas with 33.52%, Lembah-Asri-Serang with 30.85%, Sanggaluri-Reptile-Park by 30, 27%, Baturaden Botanical-Gardens with 27, 67 %, and Curug-Jenggala by 23.4%. At the same time, the highest types of "trust" emotions are Benteng-Pandem with 27.41%, Arjuna-Temple with 26.6%, Sikidang-Crater with 20.71%, and Menganti-Beach with 25, 74%. Only one site, the World Miniature Park, gives the highest "anticipation" emotion. Usually, caring words represent anticipation emotions, so they can still be categorized into positive emotions. The extraction of emotions is affected by the process of emotion-labeling of each comment, so further research is recommended to develop a lexicon emotion dictionary. The results of this study are expected to provide benefits for the development of the tourism industry in the BARLINGMASCAKEB area and for the academic world, especially regarding the application of text mining in the tourism sector
Pemanfaatan SPARQL Dalam Pencarian Data Alih Kredit Merdeka Belajar Kampus Merdeka Agiharta, Kafka Febianto; Suteja, Bernard Renaldy
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 3 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i3.6742

Abstract

The Merdeka Belajar Kampus Merdeka (MBKM) program provides facilities for students to transfer credits from work activities to specific courses. To support this process, this research utilizes Semantic Web technology by integrating an ontology built using the Protégé tool. Through the use of SPARQL query language, Semantic Web technology enables efficient and accurate searching between activity descriptions and courses based on the context and semantic meaning of the data. The research results show that this research can retrieve the required information efficiently and accurately from the ontology that has been developed.  
Pengembangan Model Penilaian Kepatuhan Salah Satu Perguruan Tinggi Terhadap Standar ISO 27001:2022 Sinaga, Rudolf
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 3 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i3.6850

Abstract

Information security systems are important for organizations, including universities, because they are a crucial aspect of today's digital world. In this context ISO 27001:2022 is an important standard. One of the universities in Jambi City  manages sensitive data, using various information systems such as student data, lecturers, finance, employees and research, this will certainly increase the complexity of information security system governance. The college also has an open academic community, consisting of students, alumni, faculty, and administrative staff, which provides opportunities for increased information system security risks, such as phishing and malware attacks. This study aims to develop an assessment model for the compliance of higher education organizations with ISO 27001:2022 standards and apply the model to one of the universities in Jambi City. Evaluations show that the universities has a high level of compliance with physical and environmental security, but areas such as information security policy, risk management, information assets, access control, network security, as well as security incident management require increased compliance. Recommendations for improvement and improvement are given for each area that requires more attention, according to the ISO 27001:2022 standard including the development of risk identification, risk management, identification of important information assets, protection of information assets, protection against network attacks, regular network security monitoring, procedures for developing effective event response, reporting of security events, and learning from events that occur. In conclusion, the development of one of the universities in Jambi City organization's compliance assessment model with the ISO 27001:2022 standard provides a comprehensive view of the level of compliance in various areas of information system security. Through the identification of weaknesses and the recommendations for improvement that are drafted, concrete steps can be taken to improve compliance and manage information system security more effectively.  
Deteksi Tindak Kecurangan Penjualan di Perusahaan Distribusi Menggunakan Machine Learning Budi Wibowo Suhanjoyo; Hapnes Toba; Bernard Renaldy Suteja
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i2.6932

Abstract

The sales department of a distribution company is one of the places where fraud often occurs. This fraud occurs in various ways and causes massive losses for the company. These frauds have certain patterns. The patterns that occur in these practices are studied by the company's internal auditor experts. The experience of these experts is processed into a system called the Expert System. The support of a technology-based tool is needed in order to detect sales fraud early. The purpose of this research is to be able to provide benefits for companies with early detection of fraud in the sales department. At the time this research was conducted, researchers had not found similar research with the same object. In this research, a comparison of various machine learning algorithm models will be carried out with the aim of knowing whether using machine learning technology can help detect fraud with a high accuracy value. The algorithm method used is supervised learning method. The algorithm models to be compared are Decision Tree, K-Nearest Neighbor, Random Forest, SVM and Logistic Regression. It is expected that by using machine learning technology, fraud can be detected early, so that the level of loss and risk of sales can be minimized.
Evaluasi Kepuasan Aplikasi Pelayanan Rakyat Online Denpasar+ Menggunakan End User Computing Satisfaction Fridayanti, Ni Putu Eka; Dantes, Gede Rasben; Saskara, Gede Arna Jude
Jurnal Teknik Informatika dan Sistem Informasi Vol 10 No 1 (2024): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v10i1.6936

Abstract

Denpasar is one of the cities that has implemented an online public service application (PRO Denpasar+), which is currently known as Denpasar Prama Sewaka or DPS. This application ensures that the agencies that are part of it maintain vertical integrity. However, there are still some obstacles, such as the level of implementation satisfaction that has not been identified among active users. This study emphasizes the End User Computing Satisfaction (EUCS) approach, which centers on five key factors that contribute to user satisfaction: content, accuracy, format, ease of use and timeliness in relation to user of satisfaction, which focuses on application evaluation analysis. The study included 30 and 99 respondents active application users who were residents of Denpasar City were selected through purposive sampling and using a Likert scale based on the average score of user satisfaction to measure the levell of satisfaction experienced by each variableewith 14 questions. Based on detailed data analysis, the average satisfaction score for each variable was 4.24 for content, 3.73 for accuracy, 4.23 for format, 4.19 for user-friendliness, and 4.08 for timeliness. In general, these findings indicate that application users are very satisfied with their use. However, its implementation still needs to be refined through revisions. Recommendations for improving the application were compiled using SWOT analysis and based on the achievements of each EUCS variable, respondents' scores from those who disagreed and strongly disagreed, as well as improvement input data provided by respondents through an open questionnaire for providing excellent service to the community.
Prototype Alat Pemberitahuan Kecelakaan Menggunakan Microcontroller Node MCU dan Sensor Crash Natzir, Sadam Muhammad; Malahina, Edwin Ariesto Umbu
Jurnal Teknik Informatika dan Sistem Informasi Vol 10 No 1 (2024): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v10i1.6961

Abstract

This research has successfully developed a prototype for an automatic accident notification device using the Node MCU Microcontroller and Crash Sensor. The device is designed to detect accident incidents and provide a quick response by sending notifications containing the location of the accident through Short Messages (SMS/Telegram) to the relevant units in real-time. The Crash Sensor and Node MCU work together to detect and track incidents, while the GPS marking system and cellular communication module are used to track and send the coordinates of the accident location. The prototype was tested in various accident scenarios to test the accuracy and responsiveness of the system. The results showed that this prototype is capable of detecting and sending notifications about incidents with high speed and accuracy. The SIM800l module used in this prototype has a message delivery success rate of 90%. The implementation of this technology has the potential to increase the efficiency and effectiveness of emergency response to accidents, reducing handling time and potential further losses. Furthermore, this research indicates potential for further integration with traffic control systems or emergency services, which will form a more coordinated and effective response to accident incidents.
Deteksi Dan Mitigasi Serangan Distributed Denial of Service Pada Software Defined Network Pratiwi, Dheni Yulia Dinda; Adrian, Ronald
Jurnal Teknik Informatika dan Sistem Informasi Vol 10 No 1 (2024): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v10i1.6995

Abstract

Software-Defined Networking (SDN) is an approach to network management that separates the control plane from the data plane of the network. In an SDN network, the control plane is centrally controlled by software called a "controller," while the data plane consists of physical network devices such as switches and routers. However, this separation creates many security issues. Therefore, it is imperative to protect the network from various attacks. Distributed Denial of Service (DDoS) is one such attack that poses a hurdle for SDN users. Efforts to protect the SDN network from DDoS attacks require a system that can detect and prevent these attacks. In this final project, a system is created that detects DDOS attacks using Snort IDS (Intrusion Detection System) and prevents them by implementing a firewall on the server using Iptables. The implementation of Snort in the SDN system is able to detect DDoS attacks with an accuracy of 95% for slowhttptest attacks, 90% for slowloris attacks, and 100% for LOIC attacks. The average time to detect a slowhttptest attack is 0.72 seconds, a slowloris attack is 0.36 seconds, and a LOIC attack is 0.3 seconds. The implementation of iptables in the SDN system is able to block DDoS attacks with an average blocking time of 0.91 seconds against slowhttptest attacks, 1.89 seconds against slowloris attacks, and 0.77 seconds against LOIC attacks, and the system is able to manage large connection volumes to maintain the availability of the SDN system.
Rancang Bangun Customer Relationship Management dengan K-Means untuk Reward Customer Berbasis Web Barimbing, Angela Odetio; Hidayat, Rahmat Rian
Jurnal Teknik Informatika dan Sistem Informasi Vol 10 No 2 (2024): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v10i2.7138

Abstract

The continuous growth of the industry drives PT Porta Griya Indah, an industrial company, to retain their customers. Currently, the company still employs manual methods such as telephone, WhatsApp, and email to manage customer relationships, making it difficult for the marketing team to foster good relations. To overcome this challenge, the company needs to implement Customer Relationship Management (CRM) strategies. To increase sales and customer loyalty, the appropriate choice is to provide rewards to customers. Therefore, the aim of this research is to develop a simple web-based Customer Relationship Management application with K-Means Clustering algorithm, used to determine rewards for customers accurately and quickly. Data will be grouped into two clusters, namely eligible for rewards and not eligible for rewards, based on criteria and assessment weights. The research results indicate that this system helps the marketing team in communicating with customers, facilitating the conveyance of customer issues and needs to the directors, and facilitating the selection of the best customers eligible for rewards to enhance loyalty. The implementation of this system enhances the efficiency of PT Porta Griya Indah in retaining customers and increasing customer satisfaction amidst the continuously growing industry.
Perancangan Indoor Position System Berbasis Internet of Things dan Support Vector Machine Noprianto, Noprianto; Sulaiman, Thirsya Widya; Alaudin, Ahmad Rafif; Fitriansyah, Raka Bagas
Jurnal Teknik Informatika dan Sistem Informasi Vol 10 No 1 (2024): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v10i1.7277

Abstract

Currently, the utilization of position tracking technology has extended to various aspects, primarily harnessing the Global Positioning System (GPS). However, a significant limitation arises in the accuracy of GPS when employed within indoor environments. In response to this challenge, the concept of the Indoor Positioning System (IPS) has been introduced and developed. IPS enables the tracking of positions within buildings and offers not only improved accuracy but also enhanced security, safety, and greater efficiency. The research described in this context aims to formulate solutions for tracking and identifying locations within indoor spaces, with a specific focus on the 7th floor of a civil building. The approach employed involves the implementation of access point infrastructure strategically placed within each room. The dataset utilized to support the analysis consists of 80 location points within these indoor spaces, meticulously divided into 40 points for the LIG2 room, 40 points for the LPY4 room, and the connecting corridor area. In the pursuit of achieving this objective, the study adopts the Support Vector Machine (SVM) method. Through the utilization of this technique, the SVM model is instructed utilizing Received Signal Strength Indicator (RSSI) data from microcontrollers. Through a series of trials and evaluations, the SVM method applied in this research has yielded promising outcomes. The accuracy rate reaches 79%, signifying that the proposed system is capable of accurately predicting locations based on the collected data.

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