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MANAGEMENT DAN TATA KELOLA AUDIT SISTEM INFORMASI Candra Supriadi; Laksamana Rajendran Haidar
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol 9 No 2 (2018): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v9i2.160

Abstract

Abstract The function in the development of information technology in human activities today is indeed developing very rapidly. Information empowerment technology has become a major facility in business activities. In information technology in the part of business contributes greatly to fundamental changes to structural, operational and organizational management. Human resources has provide a large influence in the management of information systems in an information technology organization that develops significantly, it also results in important changes in accounting and financial governance. The function of Information Technology in the development of financial bookkeeping in each part varies. Rapid of development of information systems is in line with the rate of development of financial accounting. In terms of internal control, data processing and improving the quality and quality of information, it is very influential in the development of information technology. Computer-based Accounting Information Systems in generating financial information also affect the audit process. The development of information systems that ultimately provide new opportunities as the auditor
Expert System on Soybean Disease Using Knowledge Representation Method Laksamana Rajendra Haidar; Imam Much Ibnu Subroto; Arief Marwanto
Journal of Telematics and Informatics Vol 5, No 1: March 2017
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (830.371 KB) | DOI: 10.12928/jti.v5i1.

Abstract

Soybean (Glycine mx L.) is one of the important strategic commodity in Indonesia which is cultivated widely. Soybean demand continues rise increasly demand for soy as food industry ingredients such as tofu, tempeh, soy milk soy tauco and snack. However, efforts to increase the production and development of soybean agribusiness has some constraints that may reduce production by 50% due to certain diseases. The situation is of course very detrimental to soybeans in particular and the public in general. But the farmers have very low knowledge about the technical maintenance of the soybean crop. These circumstances resulted in a high dependence of farmers on crop pest controllers are limited. To overcome these problems was made based application based mobile operating system Android. However, mobile devices have limitations in computing resources ranging from the ability of the processor to the memory capacity. To optimize computing resources on mobile devices, we need a method of knowledge representation that consists of a frame-based and rule-based representation with the rules or rule that is used to determine whether the peanut plants infected with certain diseases, in which the types of diseases that can be detected on do this thesis includes diseases of bacterial pustules, antarchnose disease, mosaic virus disease, damping, rust disease and blight. then analyzed knowledge representation which is the most optimal. This can be done by comparing the scenario some knowledge of the representation of the level of validity and cases symptoms can be resolved.Keywords: expert system,soybean disease ,android,knowledge representation
ANALISA PREDIKSI MAHASISWA DROP OUT MENGGUNAKAN METODE DECISION TREE DENGAN ALGORITMA ID3 dan C4.5 Laksamana Rajendra Haidar; Eko Sediyono; Ade Iriani
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.
Mobile Learning Dalam Pembelajaran Interaktif Untuk Anak Usia Dini Menggunakan Metode STEAM Teguh Setiadi; Laksamana Rajendra Haidar
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 13 No 2 (2021): JUPITER Edisi Oktober 2021
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/3766.jupiter.2021.10

Abstract

Technology is very helpful for simplifying work and daily needs and provides a variety of entertainment for those who want it. For this reason, the community is required to make a change in every activity. The teacher's learning process at Tunas Harapan Kindergarten, which is located at Limbangan Village Rt 02 Rw 04 Banyu Putih District, uses paper media that is attached to the wall or uses teaching aids in delivering learning materials that have not used learning technology. Thus, children feel bored and sometimes neglect to pay attention to the teacher's explanation, and sometimes the learning process is very dependent on the delivery of material delivered by the teacher directly. For this reason, providing support for interactive learning is to take advantage of the existence of media learning facilities that use technology-based mobile education. The application of the learning model with the STEAM method in the learning activities of children aged 5 to 6 years, one of which is the development of student creativity. In building mobile education in interactive learning for early childhood to present or introduce mobile-based education technology to children from an early age, in independent learning it is easily accessible outside class hours and assisting teachers in teaching in particular. Keywords— Mobile Education, Interactive learning, STEAM method
SISTEM PAKAR PENYAKIT LELE DENGAN MENGGUNAKAN METODE CASE BASE REASONING (STUDI KASUS PETERNAKAN LELE KENDAL) Laksamana Rajendra Haidar; Candra Supriyadi
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol 9 No 2 (2018): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v9i2.159

Abstract

Abstract Catfish is one of the important strategic commodities in Indonesia which is widely cultivated. Catfish needs continue to increase along with the increasing demand for catfish as foodstuffs such as the need for many lamongan stalls. However, efforts to increase production and development of catfish farming have several obstacles that can reduce production by 50% due to certain diseases. This situation is certainly very detrimental to the catfish in particular and the wider community in general. However, farmers have very low knowledge about the technical maintenance of catfish plants. This situation resulted in farmers being highly dependent on the control of a limited number of plant pests. To overcome this problem, a website-based application was made. To optimize computational resources on mobile devices, we need a Cased Base reasoning method that consists of frame based and rule based representation with rules or rules that are used to determine whether catfish plants contract certain diseases, which types of diseases can be detected in the process this research includes bacterial pustular disease, interchnose disease, mosaic virus disease, collapsing disease, rust disease and blight disease. then analyzed which cased base reasoning is the most optimal. This can be done with a scenario comparing some of the cased base reasoning from the level of accuracy at 87.5%.
SISTEM PENGENDALIAN LAMPU BERBASIS ARDUINO MENGGUNAKAN BLUETOOTH PADA SMARTPHONE ANDROID DI RUMAH QUR’AN AL-FATAH moh muthohir; Laksamana Rajendra Haidar; Husamuddin Islami
Elkom : Jurnal Elektronika dan Komputer Vol 11 No 2 (2018): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v11i2.219

Abstract

The purpose of this research is to produce tangible results in providing comfort or convenience in turning on or off the night life at home everyday, especially for people who forget to turn off the lights. The method used in making microcontroller-based home lighting control using an android smartphone is. This research method consists of several stages, analysis methods, design methods, implementation testing methods, and maintenance. The results achieved are improving the aspects of comfort and convenience for agencies, where this series of tools works after bluetooth devices are available on android smartphones. connected to a bluetooth module which is connected to the Arduino microcontroller. Basically, the principle of using this tool is that users must be able to operate a smartphone based on the Android operating system. The conclusion of this research is that the Arduino-based light control device using bluetooth can fulfill its function to control the lights properly and the device is designed to be minimalist and safety so it is safe to use.
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): Desember: Journal of Technology Informatics and Engineering
Publisher : Universitas Sains dan Teknologi Komputer

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.