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All Journal Jupiter Elkom: Jurnal Elektronika dan Komputer Journal of Telematics and Informatics Jurnal Transformatika Jurnal Teknologi Informasi dan Komunikasi Journal of Technology Informatics and Engineering Jurnal Ilmiah Sistem Informasi
Laksamana Rajendra Haidar Azani Fajri
Universitas Sains Dan Teknologi Komputer
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering

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ANALISA PREDIKSI MAHASISWA DROP OUT MENGGUNAKAN METODE DECISION TREE DENGAN ALGORITMA ID3 dan C4.5 Haidar, Laksamana Rajendra; Sediyono, Eko; Iriani, Ade
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1609

Abstract

The case of drop out at the Weleri STEKOM is often done by the campus. Drop out is a problem that is often done by Weleri STEKOM students because of a GPA of less than 2, Number of organizations followed, Tuition not paid for students and student who have exceeded the limit of 14 semesters. This study discusses predicting drop out students with C4.5 and ID3 decision tree methods that are useful to assist the campus in anticipating student dropouts. This study uses student data as many as 1087 students. Student data is divided into training data and testing data in order to obtain a model or rule in predicting DO students. Variable of this reseach contain V1(GPA) and then V2 (Distance beetween home and campus), V3(how long the lecture has been done), V4(Having a Job), V5(Family) and V6(school fee). This   research  The results of this study obtained 18 rules or rules for ID3 algorithm and 8 rules for C4.5 algorithm. The algorithm ID3 test results obtained an average of 95.17%, precision of 94.7% and recall of 96.18%, while for Decision Tree C 4.5 obtained an average of 96.45%, precision of 96.90% and recall of 95.38. This research prove that Decision using C4.5 is better for prediction of drop out students at STEKOM.
CREDENTIAL ANALYSIS FOR SECURITY CONFIGURATION ON CUSTOM ANDROID ROM Joseph Teguh Santoso; Fujiama Diapoldo Silalahi; Laksamana Rajendra Haidar
Journal of Technology Informatics and Engineering Vol. 1 No. 3 (2022): December: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i3.149

Abstract

Android is an operating system with open source and consists of several layers, with the different layers its duties and responsibilities. Various parties in the customization chain such as device vendors such as Samsung, Xiaomi, Oppo, Huawei, and others, operators such as Telkomsel, Smartfren, XL, etc., and hardware manufacturers can customize one or more layers to adapt devices for different purposes, such as supporting specific hardware and providing different interfaces and services. The purpose of this study was to investigate systematically for any inconsistencies that arose as a result of the processes involved in this study and to assess their various security implications. This research runs DroidDiff to perform a substantial-balance diverse investigation on images collected by the analytical methodology. DroidDiff found a lot of differences when it comes to the selected features. The method used in this study is the method of five differential analysis algorithms. As a result, by comparing the security configurations of similar figures, important security changes that could be accidentally introduced during customization can be found. The results show that DroidDiff can be used by vendors to check the configuration of various security features in a given image. DroidDiff will extract those features from the image, and compare them to other image configuration sets, then DroidDiff will flag the inconsistent ones for further investigation by vendors who have the source code and tools to check their effect. For future work, improvements to DroidDiff to more accurately detect risky inconsistencies are highly recommended. Improving DroidDiff will help reduce the number of false positives and determine risky configurations more accurately.
Analysis Security of Absence Information System with Finger Print using Minutiae Method on STEKOM Sofyan Laksamana Haidar, Laksamana Rajendra Haidar; Ihsanil Huda, Haris; Sudirman, Bagus
Jurnal Ilmiah Sistem Informasi Vol. 1 No. 1 (2022): Januari: Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juisi.v1i1.319

Abstract

Employee attendance is primary factor at an institution or company in achieving target. This condition relates to disciplines. And affect to pros and cons company management or human resource quality it self, impact that happened can be in the form of lack of output from production result. Much company managements take decision by conduct salary amputation of each absence employee in the operation. In consequence, must existence of special record to note existence and employees absence in order to employees existence in conducting job activity are noted properly. A lot of way of used for processing employees attendance, one of that is with use barcode machine. In STEKOM, absence system which used is fingerprint scanner machine, but the system mentioned is requiring expensive cost enough, it needs troubleshooting and also repairing. So that company have to releasing a lot of cost for handle employees attendance process. Beside that, damage fingerprint condition, wet and dirty can be became of employees. So its disturb process of absence transaction. Minutiae method is a method which is used by the writer in this research. This method is assumed as an effective method to describe the intrinsic elements in designing and identifying finger print. It is because in processing a program, it should be described in order to be understandable.
Co-Authors Ade Iriani Arief Marwanto Bagus Sudirman Candra Supriadi Candra Supriyadi Eko Sediyono Fujiama Diapoldo Silalahi Haris Ihsanil Huda Husamuddin Islami Ihsanil Huda, Haris Imam Much Ibnu Subroto Joseph Teguh Santoso Joseph Teguh Santoso Moh Muthohir Siswanto, Edy sudirman, bagus Susansi Dwi Ilhami Teguh Setiadi