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All Journal Jurnal Transformatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI International Journal of Information Technology and Business
Henny Indriyawati
Unknown Affiliation
Computer Science & IT

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Electre Method for Determining Car Stock at PT. New Ratna Motor with a Customer Satisfaction Approach Saifur Rohman Cholil; Henny Indriyawati
Jurnal Transformatika Vol 16, No 2 (2019): January 2019
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v16i2.1179

Abstract

Managing car stock is the biggest challenge for a company, especially in PT. New Ratna Motor engaged in automotive. The problem is related to the process of selling goods where the sales and car stock are out of balance. Comparisons between cars entering and cars coming out (sales) are larger cars that enter so that there is a buildup of stock in the number of cars which results in company losses which include running taxes that must be paid each year, as well as the accumulation of certain types of cars and spending on car parking. The ELECTRE method is applied as a method in determining what types of cars should be stocked by the company based on customer satisfaction, if the customer is satisfied with one type / type of car and quickly gets the unit, chances are the customer will buy or reference the product. The final result of this study is the ranking of the alternatives for determining the stock of the car.
Sistem Pendukung Keputusan Penentuan Lokasi Industri Berbasis Spasial Menggunakan Metode MOORA Agusta Praba Ristadi Pinem; Henny Indriyawati; Basworo Ardi Pramono
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 3 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v7i3.231

Abstract

Information technology is developing rapidly and the effect is every single organization will always collect data and information. The information collected is used as a basis for decision making. But not all information can be directly used for the decision making process. Method and weighting are needed in the process of getting information. One method that can be used to support the decision making process is Multi-Objective Optimization on the basis of Ratio Analysis (MOORA). MOORA is included in the Multi Criteria Decision Making (MCDM) which makes it possible to provide the best choice of information from several choices by using criteria values. This research uses the MOORA method as determining strategic industrial locations by combining spatial data. In determining the strategic location of the industry, MOORA uses several criteria and different weights for each criteria. The MOORA with spatial data can be produce the right information related to the determination of strategic industry locations by finding the correlation between method results with industry location in Semarang city. The results obtained from this research are the formation of a decision support system modeling of industrial location determination using the MOORA method with spatial data. Correlation value generated by the Spearman Rank method is 0,9.
Application of the Aras Method in Problem Completion of Determining the Location of New Student Admission Prind Triajeng Pungkasanti; Henny Indriyawati; Susanto Susanto
International Journal of Information Technology and Business Vol. 4 No. 2 (2022): April: International Journal of Information Technology and Business
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/ijiteb.422022.16-20

Abstract

During the screening of new students, each state and private institution is required to carry out promotion in order to obtain the number of students according to the predetermined target. Problems that often occur when determining the location of promotion, the New Student Admission Team (PMB) determine the location of promotions randomly without considering several factors that can affect the number of students who will join. This is often done mainly by private university such as Semarang University (USM). To overcome this, a system is needed to provide information for the New Student Admission Team (PMB) in making decisions on the location of USM promotions. This system applies the Additive Ratio Assessment (ARAS) method and criteria that can affect the number of students who will later register because the determination of the location of the promotion is right on target. Criteria and weights include: Distance (cost) with a weight of 30%, number of students (benefit) with a weight of 40%, school status (benefit) with a weight of 20%, and a source of information (benefit) with a weight of 10%. The programming language used by PHP and data bases uses MySQL. The final result of this study is a decision support system that can provide information to the PMB team about the location of the school that has the potential for USM promotion.
Web-based Secure Degree Certificate Legalization System Using Advanced Encryption Standard Algorithm Henny Indriyawati; Titin Winarti; Vensy Vydia
International Journal of Information Technology and Business Vol. 7 No. 1 (2024): November: International Journal of Information Techonology and Business
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/ijiteb.712024.17-21

Abstract

Degree certificate legalization system with encryption security feature using Advanced Encryption Standard (AES) in Semarang University has a purpose to support academic to do online document legalization through a system. The main problem which occurs in academic administration is a long document legalization process that causes an ineffective and inefficient legalization process. To solve the problem, a system that can encrypt a document for better security is required. This system is built with the Advanced Encryption Standard algorithm with a 128-bit sized key to encrypt confidential information inside the document. During the encryption process, this algorithm operates using 4x4 bit array blocks and passing many encryption processes for at least 10 (ten) times. The application is analyzed with object-oriented analysis and modeled with Unified Modeling Language.  The result of this research is a system which can secure document with AES algorithm with a 256-bit sized key. The security element in this algorithm will make easier to identify the owner of the document. The secured document is easily accessible through PHP-based web or available QR code. When decrypting the document, the application will activate the camera function and decrypt the information document.
Data Mining Modeling Feasibility Patterns of Graduates Ability with Stakeholder Needs Using Apriori Algorithm Henny Indriyawati; Titin Winarti
International Journal of Information Technology and Business Vol. 5 No. 2 (2023): April : International Journal of Information Technology and Business
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/ijiteb.522023.12-17

Abstract

This The speed of information, the accuracy of data, the ease of information services, and accountability are very important reasons for the implementation of the system. Semarang University (USM) is a private university in Semarang that has the most 2 students in Central Java. Based on the 2019 USM tracer data showing horizontal alignment, namely how close the relationship between the field of study and alumni work is, it appears that there is still a discrepancy in the ability of graduates with stakeholders.  The Apriori algorithm is the best-known algorithm for finding high-frequency patterns  Rules that state associations between attributes are often called affinity analysis or market basket analysis. The use of the Apriori Algorithm in data mining calculations using data from the Semarang University tracer that the limit of the minimum support is 50% and the minimum confidence is 100% so that it forms 4 rules. From the four rules produced that modeling using the Apriori Algorithm can produce several rule formations so that it can provide an evaluation to the University for compiling steps, this can be seen because the resulting rules are different because each graduate relationship with the desired desires and different styles.  
Co-Authors Agusta Praba Ristadi Pinem Basworo Ardi Pramono Prind Triajeng Pungkasanti, Prind Triajeng Saifur Rohman Cholil Susanto Susanto Titin Winarti Vensy Vydia