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JTIM : Jurnal Teknologi Informasi dan Multimedia
Published by Puslitbang Sekawan Institute Nusa Tenggara
ISSN : 27152529     EISSN : 26849151     DOI : https://doi.org/10.35746/jtim.v2i1
Core Subject : Science,
Computer Science & IT
Cakupan dan ruang lingkup JTIM terdiri dari Databases System, Data Mining/Web Mining, Datawarehouse, Artificial Integelence, Business Integelence, Cloud & Grid Computing, Decision Support System, Human Computer & Interaction, Mobile Computing & Application, E-System, Machine Learning, Deep Learning, Information Retrievel (IR), Computer Network & Security, Multimedia System, Sistem Informasi, Sistem Informasi Geografis (GIS), Sistem Informasi Akuntansi, Database Security, Network Security, Fuzzy Logic, Expert System, Image Processing, Computer Graphic, Computer Vision, Semantic Web, Animation dan lainnya yang serumpun dengan Teknologi Informasi dan Multimedia.
Arjuna Subject : -
Articles 152 Documents
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Sistem Pendukung Keputusan Penentuan Bonus Karyawan Dengan Metode SAW Pada PT. Delima Makmur Aceh Singkil Yulisman Yulisman; Refni Wahyuni
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 2 (2021): August
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i2.154

Abstract

Decision Support System (SPK) becomes a system that is always needed for companies in determining a decision, one of which is in determining the annual bonus for employees. PT. Delima Makmur Aceh Singkil in determining employee bonuses every year is still processed manually and assisted by the number and letter processing application, so the results of the calculation of employees who receive bonuses often do not match the criteria and performance of the employee. Bonus calculation results often affect the personal relationship between employees and managers or superiors. Regarding the problems needed a decision support system that can result in proper and transparent decisions in determining employees who receive annual bonuses from the company. The method used in the process of calculating bonus determination is the Simple Additive Weighting (SAW) method. The system making model uses a waterfall model and the system design model used is UML. The programming language used in making systems is PHP (Hypertext Preprocessor), and MySQL as a database, and system testing with the Black Box testing method. The results of the study are the SPK system makes it easier for companies in the assessment process and calculation of employee bonus determination in accordance with employee criteria and performance. This SPK system can provide transparent assessments and calculations in determining the bonus received by employees
Penilaian Standar Mutu Pada Aplikasi Parkir Universitas Muhammadiyah Gresik Dengan ISO 9241-11 Dan Fishbone Analisis Muhammad Iqbal Waliyuddiin; Yudha Arya Prasaja; Farid Sukmana; Adryan Firdaus
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 2 (2021): August
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i2.156

Abstract

The parking application service at the University of Muhammadiyah Gresik is an update from the previous system. Of course, this application requires a system that is practical, efficient, and also has good data storage security. One of the references that can be used that these things have been fulfilled in this application is an analysis using ISO 9241-11. The purpose of this study was to analyze the application of UMG parking for the feasibility of ISO 9241-11. Analytical research methods used include determining clauses, checklists, Likert scales, maturity levels, and fishbone diagrams. Clause, checklist use for getting assessment based on the park system, then from that result will be used to get the qualification of this system with liket scale in each clause of this standard, and assessment of all clause with likert scale , the result of level quality assurance of this system will be found. Next the using fishbone diagram can analyze to get the root cause of clause dan quality assurance in ISO 9241-11. Because that , with this study we can know the qualification and the root cause of park system. And the analysis using that tool, this system still not suitable to use ISO 9241-11. The parent of root cause is in efficiency clause in organitation like less costing and planning.
Purwarupa Aplikasi Peramalan Kebutuhan Persediaan Barang Dagang Berbasis Website dengan Semi Average Method I Gusti Ayu Desi Saryanti; Rosalia Hadi; I Gusti Ngurah Ady Kusuma
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 2 (2021): August
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i2.157

Abstract

The Point of Sale application has now begun to be used by many trading entrepreneurs. Of course, this is because Point of Sale (POS) can record all trade transaction activities, such as recording sales and recording purchases of inventory items. However, the majority of POS applications are only limited to recording transactions and do not yet have the ability to assist traders in determining the need for merchandise. This study discusses how to build an application that can help traders predict the need for merchandise with one of the forecasting methods, namely the Semi Average Method. The application in this study was built with the waterfall method and is based on a website and utilizes sales reports from the POS application that has been used. Based on the website, users don't have to bother installing this application because it can be accessed via a browser and anytime as long as it is connected to the internet. Testing the application in this study using the Blackbox Testing method shows that this application has 100% functionality working. It is hoped that the application from this research can later be used side by side with the existing POS application so there is no need to make changes to the POS application that is already in use.
Analisis Metode K-Nearest Neighbors (K-NN) Dan Naive Bayes Dalam Memprediksi Kelulusan Mahasiswa Kartarina Kartarina; Ni Ketut Sriwinarti; Ni luh Putu Juniarti
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 2 (2021): August
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i2.159

Abstract

In this research the author aims to apply the K-NN and Naive Bayes algorithms for predicting student graduation rates at Sekolah Tinggi Pariwisata (STP) Mataram, The comparison of these two methods was carried out because based on several previous studies it was found that K-NN and Naive Bayes are well-known classification methods with a good level of accuracy. But which one has a better accuracy rate than the two algorithms, that's what researchers are trying to do. The output of this application is in the form of information on the prediction of student graduation, whether to graduate on time or not on time. The selection of STP as the research location was carried out because of the imbalance between the entry and exit of students who had completed their studies. Students who enter have a large number, but students who graduate on time according to the provisions are far very small, resulting in accumulation of the high number of students in each period of graduation, so it takes the initial predictions to quickly overcome these problems. Based on the results of designing, implementing, testing, and testing the Student Graduation Prediction Application program using the K-NN and Naive Bayes Methods with the Cross Validation method, the result is an accuracy for the K-NN method of 96.18% and for the Naive Bayes method an accuracy of 91.94% with using the RapideMiner accuracy test. So based on the results of the two tests between the K-NN and Naive Bayes methods which produce the highest accuracy, namely the K-NN method with an accuracy of 96.18%. So it can be concluded that the K-NN method is more feasible to use to predict student graduation
Penerapan Algoritma Fuzzy Tahani Untuk Rekomendasi Penerima Beasiswa Peningkatan Prestasi Akademik Muhammad Yunus; M. Rodi Taufik Akbar
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 2 (2021): August
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i2.161

Abstract

Relational database systems that exist until now are only able to handle data that is definite (crisp), deterministic and precise. In fact, in real conditions, vague data is often needed for the decision-making process. For decision making involving fuzzy variables based on crisp data in the database, you can use a query on the database system with the concept of fuzzification on the data. In every educational institution, especially universities, there are several types of scholarships given to students. To get a scholarship, students must meet all the requirements that have been set. This study discusses the application of the Fuzzy Tahani algorithm for the recommendation of Academic Achievement Improvement (PPA) scholarship recipients at Bumigora University, Mataram. Data for PPA scholarship recipients was used in 2014 with details of the number of registrants 64 people and recipients (quota) of 15 people. Every year the number of applicants for this scholarship is increasing, while the processing and selection process is still done semi-manually so that the expected results are less than optimal, especially in terms of transparency and distribution. There are several variables that must be calculated by PPA scholarship recipients, namely the value of the Grade Point Average (GPA), Parents' Income, Number of Dependent Parents and Number of Diplomas. From the results of trials conducted in this study, it can be seen that the system's accuracy level reaches a value of 73.3%. This value is obtained by comparing the results of the semi-manual selection of PPA scholarship recipients with the results of the PPA scholarship selection using a system that uses the Fuzzy Tahani Algorithm.
Performance Dashboard Sebagai Visualisasi Evaluasi Diri Perguruan Tinggi Menggunakan Pendekatan User-Centric Adam Bachtiar Maulachela; Abdurahim Abdurahim; Jihadil Qudsi; Muhammad Tajuddin
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 3 (2021): November
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i3.162

Abstract

The Government of Indonesia, through the Ministry of Education and Culture, mandates each university to organize quality education. To produce graduates who meet national standards of higher education (SN-Dikti). Hence, each university must evaluate its performance to know its current condition. Unfortunately, most universities in Indonesia have difficulty in measuring their performance. Therefore, the university becomes difficult to establish a strategic plan forward. This study aims to produce a performance dashboard that can help university leaders evaluate their performance. This Performance Dashboard visualizes Key Performance Indicator (KPI) information from a strategic plan in one screen. This research uses a user-centric approach with four main stages, namely, identification of needs, planning, prototype design, and prototype review to produce the performance dashboard. The Performance Dashboard produces interactive gauge charts (baseline, targets, and performance achievements) so that it can visualize university KPI information. The results of user reviews showed that the KPI visualization by the performance dashboard was declared correct and could be useful as a guide in preparing a self-evaluation.
Perancangan Sistem Informasi Pengolahan Administrasi Keuangan Pada Dinas P3A-PMD Kabupaten Kepulauan Talaud Martha Ruth Alotia; Alprita Parasala; Eliyah Acantha M Sampetoding; Inriawati Parauba; Yus Martin Sipota
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 3 (2021): November
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i3.163

Abstract

Financial Administration Processing is a process that converts financial data into information, in carrying out this process often using a computer so that it can run automatically. Through a data processing system, it can facilitate organizations to manage financial data for related fields so that they can help complete activities in the financial sector, especially for the process of recording and financial reports quickly. The purpose of this study is to find out how efficient and accurate the information system is at the Office of Women's Empowerment, Child Protection, Community and Village Empowerment in the Talaud Islands Regency (P3A-PMD). The method used in this study is a qualitative method by finding out how efficient and accurate the information system is currently running at the P3A-PMD Office. Data was collected by means of observation, interviews, and literature study. Sources of data used are primary data and secondary data. Data management with a computer is expected to help the process of recording data so that data storage will be better and if an error occurs, you can directly edit the data.
Analisis dan Perancangan Sistem Informasi di SMA Negeri 1 Sambuara Kecamatan Essang Selatan Kabupaten Kepulauan Talaud Berbasis Website Agustina J Larinse; Oktavini Udang; Yulita Sirinti Pongtambing; Eliyah Acantha M Sampetoding; Meike Tabaru
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 3 (2021): November
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i3.164

Abstract

Website Design, Information Systems, Information, SMA Negeri 1 Sambuara Essang, Talaud SMA Negeri 1 Sambuara, South Essang District, Talaud Islands Regency is one of the educational institutions that must also manage the data to facilitate information for both the school and the community. Based on the observations, the information management system for SMA Negeri 1 Sambuara still use input system manually, e.g. school profiles, student data, teacher data, and lesson schedule information. The public can only find the information out regarding schools and Teaching & Learning Activities (KBM) by visiting the school directly. This research aims to find out the problem before building an Information System at SMA Negeri 1 Sambuara Based on a Website, it is hoped that this system can facilitate socialization or promote the school to the wider community by using the website. From the results of this discussion, it can be concluded that; this system will make it easier for the school to provide information about student data to visitors or the public, and this system can also make it easier for visitors or the public to find information about student data without knowing distance and time. Comparison of the old system and the new system i.e. The old system is still done manually, while the new system has been carried out in a computerized system, the old system is not efficient and effective, while the new system is the opposite. In the new system, students can input their data directly into the system.
Analisis Pesan Visual Bahaya Virus Covid-19 Dalam Film Animasi “ Larva” Hasbullah Hasbullah; Andi Sofyan Anas; Anak Agung Gde Agung Indrawan; Tomi Tri Sujaka
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 3 (2021): November
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i3.167

Abstract

The COVID-19 pandemic has paralyzed all activities and economies in almost all land areas of the world. The paralysis of community activities in various places disturbs creative ideas emerging through visual communication media, one of which is the animation of Larva from South Korea. The problem to be raised in this paper is about how the form of visual messages conveyed through Larva animation. The purpose of this article is for the audience to understand the message that is hidden behind the Larva animation. The method used in this paper is qualitative with observation data collection techniques or direct observation of Larva animation videos and literature study. Data analysis techniques, namely, reduction, presentation, and drawing conclusions based on the semiotic theory of Raland Barthes. The results presented in this paper lead to a visual message that displays the shape at the denotative level of the covid-19 virus in red to purple plus the effect of a dirty brown color that attacks larvae that are eating without implementing health protocols so that the Larva cough and spread the virus a group of larvae. which is enjoying food and immediately dies, then attacks the two red and yellow Larva. However, they apply health protocols such as washing hands using hand sanitizer and wearing masks. Connotatively, this visual message illustrates the importance of implementing health protocols during this COVID-19 period.
Sistem Pendeteksi Kerusakan Buah Mangga Menggunakan Sensor Gas Dengan Metode DCS - LCA Murad Murad; Sukmawaty Sukmawaty; Ansar Ansar; Rahmat Sabani; Syahroni Hidayat
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 4 (2022): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i4.169

Abstract

Fruits, including mangoes, produce a wide variety of volatile organic compounds that give them their distinct aroma. Characteristics of fruit aroma is one of the important keys in determining consumer acceptance in the commercial fruit market based on individual preferences. So a possible way to determine the level of ripeness/damage is to feel the distinctive aroma presented by the fruit using a gas sensor. This study aims to build a system that can detect mango damage based on its aroma. The sensors used are TGS 2600, MQ3, MQ4, MQ2, and MQ8 which are connected to the Arduino Mega 2560. The learning model used is an ensemble learning model of Dynamic Classifier Selection (DCS) with Local Class Accuracy (LCA)/DCS-LCA. This algorithm combines Logistic Regression, Selection Tree, Support Vector Machine (SVM), Naïve Bayes, Random Forest, and Neural Networks. The model was then tested with a comparison of the amount of test data and training data of 70%:30%. The test results showed that the overall system Accuracy was 75% and the ability to detect mango fruit damage was 71%. The DCS-LCA classifier model outperforms each of its constituent base classifiers.

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