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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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Pengembangan Aplikasi Regresi Parameter Cuaca Berbasis Visual Basic For Application Bayu Bagus Riyandiarto; Nanda Noor Fadjrin
Jurnal Teknik Informatika dan Sistem Informasi Vol 6 No 3 (2020): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v6i3.3038

Abstract

Abstract — This research is the development of the Microsoft Excel VBA application to perform regression analysis between weather parameters in terms of data centering measures (PAMER11). The combination of parameters and data centering measures obtained 55 parameters that can be combined into 1,677,255,139,725 annual regression analysis outputs. The case study used in this study only calculates air humidity with temperature and air pressure observation variables, then the analysis results are compared with the results of the Excel Toolpak analysis data with the Anova. The development of this application method is carried out in 4 stages, namely: define, design, develop, adn dissemination. The defined stage includes analysis of the needs of researchers in the BMKG field, analysis coverage of the needs of BMKG in the form of regression analysis. The design stage includes format selection, application program selection, and initial design (prototype 1). The development stage includes validation (prototype 2) obtained a programming aspect value of 4.1325 valid criteria, comparison of Anova results from the output of the PAMER11 application and analysis of the Excel toolpak, the f-value is with a p-value of 99% which results in the two calculations are significantly equal, for the display aspect get a value of 4,8175 valid criteria, limited and field product trials (prototype 3), where a limited trial was carried out on all faculty lecturers getting a score of 4.2440 very good criteria. Field trials conducted on the BMKG Cilacap got a score of 4.8333 very good criteria and data analysis at each stage of development has been improved towards the application program. Keywords — Development; Microsoft Excel; Visual Basic for Application (VBA); Regression Analysis; Weather Parameters
Aplikasi Android untuk Monitoring Lahan Pertanian secara Realtime Berbasis Internet of Things Jihot Lumban Gaol; Hindriyanto Purnomo; Budhi Kristianto; Radius Tanone; Yos Richard Beeh; Nina Setiyawati; Markus Permadi; Raynaldo Raynaldo; Riko Yudistira
Jurnal Teknik Informatika dan Sistem Informasi Vol 6 No 3 (2020): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v6i3.3039

Abstract

The development of technology is very helpful in agriculture by using the internet to get the information we need. The problem that farmers think of is that they cannot easily and quickly get information in the form of light intensity, precipitation, soil pH, soil moisture, soil temperature, humidity and air temperature. When farmers get the information they need from agricultural land, they usually get information through the internet so they are considered less efficient as it is quite time consuming. To solve this problem, a system is designed using the research and development method (RnD). A new Android-based application that can display data in text and graphics that are more easily accessible to farmers. This study creates an Android-based mobile application based on tests using the Android interface to display information about agricultural land conditions and display graphical data that is updated every 5 minutes. Keywords— Land monitoring, Agriculture, IoT, Android Mobile Application
Desain Model Database Layanan Panti Werdha dengan Menerapkan Metode Database Life Cycle Stefanus Setyo Wibagso; Enjel Lia
Jurnal Teknik Informatika dan Sistem Informasi Vol 6 No 3 (2020): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v6i3.3047

Abstract

A nursing home is a place where the elderly get care services to live out their parenthood. In the management of nursing homes, many activities are carried out such as nursing services for the elderly, family visit activities, receiving donor assistance, managing elderly contributions, and transferring the elderly. Most of the information about these activities is still referred to manually and some of it is processed using separate applications. The aim of this research is to design the database model needed by the nursing home. The database model design can later be used as a reference for software developers in building an integrated nursing home information system. The form of research carried out is in the form of case studies with data collection methods through interview techniques and documentation studies. Meanwhile, for the analysis and design of the database model itself, it uses Database Life Cycle (DBLC) method which focuses on conceptual database design, logical database design, and physical database design. The result of this design is a relational database consisting of 11 tables and 12 relations. This research is a development from previous research with the same type where the previous research produced 7 tables with 6 relations.
Pengembangan Sistem Informasi Tukar Barang Untuk Pemanfaatan Barang Tidak Terpakai dengan Flutter Framework Sulaeman Santoso; Daniel Jahja Surjawan; Erico Darmawan Handoyo
Jurnal Teknik Informatika dan Sistem Informasi Vol 6 No 3 (2020): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v6i3.3071

Abstract

Humans in general can not be separated from the consumptive lifestyle. Problems related to ownership of goods that are no longer in use are increasing. These items are stored and never used again by the owner. Most of these items do not have high sales value because of the condition of used goods or for some people the goods are unused. The item can be valuable in the hands of those who need it. Problem occur when information on the unused item does not reach to the person in need. This research attempt to develop an exchanging unused goods system without a payment process. Each item will be worth one token, this is done to prevent system exploitation, this differentiate the proposed system with other bartering system. Furthermore, the system was developed to be a portal in providing information and facilitating people who will barter their goods that are not used. For the process of giving and taking goods will be done separately
Perancangan Sistem E-Reporting Menggunakan ReactJS dan Firebase Jeremy Panjaitan; Andrew Fernando Pakpahan
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i1.3098

Abstract

The head office of west region of Seventh Day Adventist Indonesia in Indonesia is located in Jakarta. Every month employees must report every transaction they have made . The report can be in the form of proof of purchase, shopping receipt, notes and other proof of transactions. The reporting system of the office is done by submitting a hardcopy proof of the transaction to the finance department. The reporting process takes a long time and allows for inaccurate proof of transactions. Another problem that is often found is the unknown status of reports. Employees often do not know whether the reports that have been received by the financial department have been approved or not. The purpose of this study is to design an E-reporting system that will make it easier for employees to report to the financial department so that reporting can be done quickly and accurately. The system to be built uses ReactJS and Firebase using an Agile Software development method. The result of this research is the creation of an E-reporting application that can help to report on the financial department every month.
Pengembangan Sistem Informasi Pembelian, Penjualan dan Persediaan Motor Bekas menggunakan Analisis Fast-Slow-Non Moving Renaldy Renaldy; Teddy Marcus
Jurnal Teknik Informatika dan Sistem Informasi Vol 6 No 3 (2020): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v6i3.3100

Abstract

Abstract — Motorcycle Company is engaged in selling used motorcycles, processing motorcycle inventory data to manage the optimal number of purchases and sales. Based on monthly sales data, it can be predicted the need to buy a used vehicle to the seller. Through FSN (Fast-moving, Slow-moving and Non-moving) analysis is to consider quantity, the rate of consumption of item and how often they are issued or used. The results of analysis can be used to guide the decision of the right amount of inventory to be placed in the warehouse, the frequency to buy or even delete certain items in stages. In order for the FSN analysis to be carried out successfully, it is necessary to analyze the items based on their respective categories, within a certain period of time. The purpose of this research is to design and build an information system for the sale of used motor vehicles, purchase of used motorcycles by considering the optimal inventory using the FSN method. Keywords — Inventory Management, Selling-buying Used Motorcycle, Fast-moving, Slow-moving and Non-moving Anylysis.
Analisis Arsitektur Bisnis Sistem Penerimaan Mahasiswa Baru dan Akademik Tiur Gantini; Adelia Adelia; Diana Trivena Yulianti; Joshia Yeremia; Novia Roro Dorojatun
Jurnal Teknik Informatika dan Sistem Informasi Vol 6 No 3 (2020): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v6i3.3115

Abstract

Abstract — University in Bandung already has an IT Blueprint in 2009 and has successfully implemented several integrations in the financial system for academics. However, until 2020 there was no integration between the new student admission system and the academic system. Therefore, through this research, preparation and analysis were carried out to then proceed with the design in order to gradually document the IT Blueprint. And on this occasion discussed the preparation and analysis of the new student admission system and the academic system. The framework used is TOGAF 9.1 and TOGAF 9.2, namely in the preparation stage to phase B Architecture Vision. This research has been conducted from June 2019 to August 2020 and has produced a Value Chain Diagram, Stakeholder Map, and Solution Concept Diagram which will become the basis for phase B. The resulting Value Chain Diagram consists of the Value Chain Diagram for the admission system and the Value Chain Diagram for the academic system. In each diagram discusses the main activities and support activities of each system. The stakeholder map will explain each stakeholder involved in the admission system and the academic system and their relationship to architectural design. The Solution Concept Diagram illustrates the concept diagram as a solution architecture vision for admission and the academic system at University. Keywords— analysis; Enterprise Architecture; preliminary, Architecture Vision, TOGAF
Document Digitalization and Scoring System of Students Final Project Meliana Christianti Johan; Robby Tan; Bernard Renaldy Suteja; Nurul Afiany
Jurnal Teknik Informatika dan Sistem Informasi Vol 6 No 3 (2020): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v6i3.3126

Abstract

The Faculty of Information Technology is one of the faculties at Maranatha Christian University Bandung. One of the study programs in the Faculty of Information Technology is Informatics Engineering Department. Nowadays, the management of Final Project and Final Project Seminar is still managed manually. In this research, we did this research to digitalize any documents and scoring grades by using this system for student’s final project. This causes the data management process related to the process of recording and completing the final project relying only on Microsoft Excel. In this research, an analysis and application design carried out to assist the process of recording the journey of students in completing the Final Project Assignment. The result from this research is an application prototype that can be used by course coordinators to manage grades of final project and final project seminar. This application is a web-based, built using PHP with Firebase database.
Perbandingan Algoritma Machine Learning dalam Menilai Sebuah Lokasi Toko Ritel Kristiawan Kristiawan; Andreas Widjaja
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i1.3182

Abstract

Abstract — The application of machine learning technology in various industrial fields is currently developing rapidly, including in the retail industry. This study aims to find the most accurate algorithmic model so that it can be used to help retailers choose a store location more precisely. By using several methods such as Pearson Correlation, Chi-Square Features, Recursive Feature Elimination and Tree-based to select features (predictive variables). These features are then used to train and build models using 6 different classification algorithms such as Logistic Regression, K Nearest Neighbor (KNN), Decision Tree, Random Forest, Support Vector Machine (SVM) and Neural Network to classify whether a location is recommended or not as a new store location. Keywords— Application of Machine Learning, Pearson Correlation, Random Forest, Neural Network, Logistic Regression.
Analisis Klasifikasi Sentimen Terhadap Sekolah Daring pada Twitter Menggunakan Supervised Machine Learning Ni Luh Putu Chandra Savitri; Radya Amirur Rahman; Reyhan Venyutzky; Nur Aini Rakhmawati
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i1.3216

Abstract

Covid-19 pandemic urges countries to limit interaction of their people to reduce transmission. Indonesia requires people to do activities at home, one of which is online school. Many people share their thoughts through social media Twitter. Therefore, authors conducted sentiment analysis using supervised machine learning algorithm to determine distribution of words used in commenting on online schools, relationship between sentence, length and sentiment, and best algorithms that can be used to get most accurate results. In this study, authors used the method of crawling with RapidMiner to get data from Twitter. Then authors do data cleansing, data processing with classification methods using Random Forest Classifier , Logistic Regression , BernoulliNB and SVC algorithm. After that authors evaluate using confusion matrix, accuracy rate and classification report. In this research, authors found there are positive, negative, and neutral sentiments expressed on the online school implementation through comments. Authors ranked top three most used words used to express positive sentiments which includes bahagia, rajin and senang. On negative sentiments, top three words are capek, muak and bosen. On neutral sentiments, top three words are tidur, capek, and buka. Lengthy Tweets are usually imbued with negative remarks. On the other hand, the tweet tends to be positive and neutral tweet is usually stable. Authors conclude that the weakness of online school is the amount of workload that makes students tired alongside ineffective teaching method which makes it hard for students to understand the material given by school. However, on the positive side, some people agree with policies that are implemented and they feel like they gained some benefits from the implementation. From the four supervised machine learning algorithms that have been tested, Logistic Regression shows the highest accuracy, 0,87. The analysis shows that society tends to be neutral to the implementation of online school.

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