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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 15 Documents
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Search results for , issue "Vol 7 No 3 (2021): JuTISI" : 15 Documents clear
Perancangan Sistem Informasi Distribusi Barang Menggunakan BlueSeer Enterprise Resource Planning Heri Purwanto; Taupik Ridwan; Yanwar Aryanggara
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 3 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i3.3510

Abstract

One of the current operational activities of PT. Geoff Maksimal Jaya is the distribution of goods, every item that has been produced will be stored in the warehouse to be entrusted or distributed to shops, wholesalers, and other related parties. However, data documentation activities related to the distribution of these goods are still carried out manually, so that access to obtain any information is still limited. In response to these problems, the purpose of this study was made to get easy access to information by utilizing the BlueSeer ERP application as a reference for designing information systems. The development method used in this research is the waterfall. It is hoped that this can help companies access information on operational activities of distributing goods effectively and efficiently. In the future, this research can be developed by adding several other aspects such as monitoring the delivery of goods in order to cover the complete access to information on operational activities of the distribution of goods.
Penerapan Decision Support System Beasiswa Berprestasi pada Sekolah Menengah Kejuruan I Gusti Ayu Agung Mas Aristamy; Zain Alaik
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 3 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i3.3850

Abstract

Every educational institution provides scholarships that are offered to its students with specified requirements, as well as at SMK Negeri 1 Sukawati. Students who receive scholarships are students who meet the requirements and criteria that have been determined. The criteria determined are report cards, absenteeism, achievement, organizational involvement, and violations. However, some problems arise when determining the prospective recipients of achievement scholarships at SMKN 1 Sukawati, particularly many students who have achievements outside of school activities or non-academic achievements do not get scholarships. One of the criteria-set is to have achievement, which means achievement is not only academic achievement but also non-academic. The design of a system that can provide recommendations to decision makers is needed, so that it is right on target in providing opportunities for students who meet the criteria considered. The Simple Additive Weighting (SAW) method is used in this study because it can choose the best alternative from several alternatives. The results obtained in this study in the form of ranking and then make a recommendation to receiving a scholarship.
Sistem Prediksi Kondisi Kesehatan Pasien Penderita Talasemia dengan Menggunakan Logika Fuzzy Tsukamoto Cintya Fransisca Wijaya; Lena Magdalena; Reza Ilyasa
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 3 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i3.3924

Abstract

Thalassemia is a hereditary disease that makes sufferers experience red blood cell abnormalities and must receive continuous blood transfusions throughout their lives. Gunung Jati Hospital, Cirebon City handles registration and scheduling of thalassemia patients with assistance from Perhimpunan Orang tua Penderita Talasemia Indonesia (POPTI). In handling patient data, it is necessary to have a system that facilitates all activities ranging from registration, scheduling, and make predictions about the patient's health condition along with recommendations for handling the patient's condition. The purpose of this study is to make a prediction system for health conditions related to thalassemia suffered by patients based on influencing variables using the Fuzzy Tsukamoto method. This system can also handle patient data, scheduling, and storing patient medical recap data. The final results of this system are patient data, patient care schedules, predictions of patient health conditions, and recommendations for patients. Keywords— Fuzzy; Prediction; thalassemia; Tsukamoto.
Pengembangan E-marketplace In-game Currency Menggunakan Framework Laravel dengan Metode Extreme Programming Daniel Apdianto Herman; Andy Kho
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 3 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i3.3945

Abstract

In-game currency can be used to purchase various in-game items, especially in online games. In addition, in-game currency is also widely traded by players in certain online games. This eventually causes the potential for scam in buying and selling in-game currency to increase. This happened because there is no place that can be used by players to do transactions safely. The purpose of this research is to design and develop an e-marketplace for in-game currency using the Extreme Programming method which consists of planning, design, coding, and testing stages. This in-game currency e-marketplace application will be developed using the Laravel framework, which is one of the open-source PHP frameworks. The result of this research is an e-marketplace application that can be used by in-game currency buyers or sellers to do buying and selling easily and safely. With this e-marketplace, buying and selling in-game currency transactions will be easier, faster, and also scam-free
Evaluasi Penggunaan Learning Management System Sebagai Alat Bantu Pembelajaran Matematika Sekolah Dasar Kenny Jingga; Bernard Renaldy Suteja; Mewati Ayub
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 3 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i3.3977

Abstract

Teaching and learning activities need to be interactive to increase children’s interest in learning. With the utilization of technology, there are so many learning tools had been made. One of them is Moodle. Moodle is a learning management system (LMS) application to support learning activity on electronic based (e-learning). The purpose of this research is to implement Moodle as LMS for mathematics learning on primary school children. By using Moodle, the lessons are delivered interactively for children to learn. This research will find out the influence of using this application towards the test score before and after using the application. T-Test analysis will be applied to analyze the differences. Besides analyzing the test score, questionnaires for the children who test the application will be given to know the effect of using the application for them. Based on the evaluation result using T-Test analysis, there were not any significant differences, but there were enhancements in average, highest, and lowest scores, along with the decrease in standard deviation. The result of correlation coefficient calculation between exercise frequency and quiz result was 0.2162, which meant that the correlation was weak or almost no correlation. Based on the questionnaire result, this application is considered helping children in understanding the subject.
Deteksi Serangan Spoofing Wajah Menggunakan Convolutional Neural Network Raden Budiarto Hadiprakoso; I Komang Setia Buana
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 3 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i3.4001

Abstract

Facial recognition-based biometric authentication is increasingly frequently employed. However, a facial recognition system should not only recognize an individual's face, but it should also be capable of detecting spoofing attempts using printed faces or digital photographs. There are now various methods for detecting spoofing, including blinking, lip movement, and head tilt detection. However, this approach has limitations when dealing with dynamic video spoofing assaults. On the other hand, these types of motion detection systems can diminish user comfort. As a result, this article presents a method for identifying facial spoofing attacks through Convolutional Neural Networks. The anti-spoofing technique is intended to be used in conjunction with deep learning models without using extra tools or equipment. Our CNN classification dataset can be derived from the NUAA photo imposter and CASIA v2. The collection contains numerous examples of facial spoofing, including those created with posters, masks, and smartphones. In the pre-processing stage, image augmentation is carried out with brightness adjustments and other filters so that the model to adapt to various environmental conditions. We evaluate the number of epochs, optimizer types, and the learning rate during the testing process. The test results show that the proposed model achieves an accuracy value of 91.23% and an F1 score of 92.01%.
Penentuan Ekstrakurikuler Siswa Sesuai Minat Bakat dengan Case-Based Reasoning dan Certainty Factor Arjun Sirojul Anam; Faris Muslihul Amin; Mujib Ridwan
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 3 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i3.4011

Abstract

Extracurricular activities at MAN 1 Lamongan are still determined without any support from the system. Students are only given extracurricular information and can register according to the conditions if interested. This makes the extracurricular that students have chosen does not fully match their abilities. The result is a decrease in the number of members who are active in extracurricular activities due to loss of interest. A web-based system was developed to assist MAN 1 Lamongan in determining extracurricular according to interests and talents. Case-Based Reasoning (CBR) is the system framework and Certainty Factor (CF) is the algorithm for determining the certainty value. The result is that with test data of 68 students, the system recommends extracurricular well. Testing with Confusion Matrix obtained precision level of 96.03% (high), recall of 99.4% (high), accuracy of 95.76% (high)
Analisis Soal Computer Based Test untuk Tes Potensi Akademik dan Biologi Manusia Adelia Adelia; Tiur Gantini; Victor Kurniawan
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 3 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i3.4027

Abstract

Education providers, one of which is a private university in Bandung, conducts entrance exams for student participants through a computer-based test system. In the entrance examination, which is carried out is a test of academic potential and human biology. Every question that belongs to both the TPA and human biology questions is stored in the university's computer-based test system. The saved questions can be used at any time, during the entrance examination period. The stored questions need to be analyzed and reviewed, with the aim that the questions can be used properly and can maintain the quality of the questions given to each examinee. In this study, an analysis of the level of difficulty and effectiveness of the distractor will be carried out. This analysis is carried out using data from 2018 to 2020 stored in the system.
Sentiment Analysis on the Ratification of Penghapusan Kekerasan Seksual Bill on Twitter Gary Dimitri Hamidi; Farida Afira Bestari; Alexandra Situmorang; Nur Aini Rakhmawati
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 3 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i3.4051

Abstract

Rancangan Undang-Undang Penghapusan Kekerasan Seksual (RUU PKS), or the bill of the Republic of Indonesia on the Elimination of Sexual Violence, is a bill that discusses sexual violence, victim protection and its scope concern the matters related to sexual violence. Elimination of sexual violence according to the PKS Bill aims to prevent all forms of violence. These discussions and conversations also occur on social media, especially on Twitter. Taking public sentiment is significant in choosing the proper messages, interference, and policy. Sentiment analysis is a field of study that analyses opinions, sentiments, judgments, evaluations of a person attitudes and emotions regarding a particular topic, service, product, individual, organization or activity. This study used the method of crawling to get data from Twitter. Then data cleansing, data processing is carried out using Bernoulli, Logistic Regression, and Support Vector Classification (SVC) algorithm. The data is then evaluated using three methods: accuracy, classification report, and confusion matrix. Based on the three algorithms used, it is found that all methods are equally accurate with 0.65. This study found positive, negative, and neutral sentiments expressed to the bill of Elimination of Sexual Violence through comments. It is shown that most people using the keyword “RUU PKS” are positive to the bill of Elimination of Sexual Violence (RUU PKS) while most people’s sentiments using #RUUPKSBukanSolusi are negative to the bill.
Penerapan Metode Simple Multi Attribute Rating Technique Pada Pemberian Bonus Tahunan Karyawan Sari Andriani; Allsela Meiriza
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 3 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i3.4079

Abstract

Employees are one of the most important aspects of a company. Quality employees will improve the quality of the company. To encourage employees to give their best to the company, companies can give bonuses to their employees. PT Budi Gema Gempita (BGG) is one of the companies that provides annual bonuses to its employees. In determining which employees will receive bonuses, PT Budi Gema Gempita (BGG) still uses paper to make an assessment. a decission support system is needed which can help Budi Gema Gempita (BGG), especially Human Resource Development (HRD) and division heads in the process of giving bonuses. The Simple Multi Attribute Rating Technique (SMART) method will be used because of its simplicity at responding to the needs of decision makers and how it responds. SMART is a multi-criteria decision method and a linear additive model to predict the value of each option. The use of SMART method is expected to provide the best recomendations for leaders to provide bonuses to employees

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