Article Per Year (5 Year)
p-Index From 2021 - 2026
3.186
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnas Nasional Teknologi dan Sistem Informasi JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Komputer Terapan IT JOURNAL RESEARCH AND DEVELOPMENT Seminar Nasional Teknologi Informasi Komunikasi dan Industri Indonesian Journal of Electrical Engineering and Computer Science Teknika Jurnal Nasional Teknik Elektro dan Teknologi Informasi Proceeding International Applied Business and Engineering Conference JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Science, Technology, and Communication Journal
Dadang Syarif Sihabudin Sahid
Politeknik Caltex Riau
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 25 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 8 Documents
Search
Journal : Proceeding International Applied Business and Engineering Conference

 1 
Implementation of Web Service Host To Host Payment for Pajak Bumi dan Bangunan Pekanbaru City Wawan Kurniawan; Dadang Syarif Sihabudin Sahid
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (957.702 KB)

Abstract

Web service is an application of a collection of data (database), software (software) or part of software that can be accessed remotely by various devices with a certain intermediary. Web service can also be interpreted as a method of exchanging data, regardless of where a database is embedded, in what language an application that consumes data is made, and on what platform a data is consumed. Web services are able to support interoperability. So that the web service is able to become a bridge between the various existing systems.
RICE QUALITY DETECTION BASED ON DIGITAL IMAGE USING CLASSIFICATION METHOD Sellya Meizenty; Dadang Syarif Sihabudin Sahid; Juni Nurma Sari
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (887.878 KB)

Abstract

Rice is one of the staples that is included in the consistent list of staple food commodities (Bapok), currently some irresponsible people make the rice more durable, fragrant and whiter. Many assume that the rice is clean, odorless, and has a high price is rice with good quality and vice versa. From the existing problems the author wants to help the community to better determine good quality rice and good for consumption. This research will create a system that can recognize the type of rice based on the image of the rice. Rice data that has been collected will be sampled and trained using the K-Nearest Neighbors (k-NN) method where this method is used for the classification of the shortest distance calculation which will produce a class in the form of rice data classes, while to obtain parameter values from the rice image using the extraction feature. RGB color average (Red, Green, and Blue) and to get results with a good level of accuracy will use K-Fold Validation.
AdaBoost integration with Genetic Algorithm for Psychological Aptitude Result Interpretation Model Bayu Hanif Pratama; Dadang Syarif Sihabudin Sahid
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (930.244 KB)

Abstract

SMA Darma Yudha Pekanbaru has a special program to facilitate students in knowing their interests and talents. The process is carried out by conducting special tests that can only be carried out by a certified psychologist. The psychologist is an educational worker under the division of guidance and counseling. The results of the test will be interpreted by psychologists with an output in the form of interests that can be used to determine the selection of majors in further study in college. Moreover, the results of the interpretation also contain recommendations of interest and talent for a career after the learner graduated from college. However, the recommendations of interest and talent are the result of unilateral analysis by psychologists without a supporting device to confirm the truth and accuracy. In this case the author will conduct research in the form of analysis of the results of interpretation issued by the psychologist of course with a variety of assessment instruments and not only that, to further ensure the results of interpretation, the author conducts analysis using 2 (two) machine learning methods and will then be done in order to get the best results. In this study, the authors used machine learning by comparing the results of analysis from 2 (two) methods namely Naïve Bayes and Decision Trees Classifier which then the classification results will be improved with AdaBoost.
Credit Scoring Models and Applications Based on Personality Predictions Using Twitter Data and Debtor Big Data at PT. Bank Riau Kepri sugianto; Dadang Syarif Sihabudin Sahid; Juni Nurma Sari; Yohana Dewi Lulu Widyasari
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (937.324 KB)

Abstract

The development of social media in Indonesia is very fast, even the latest data shows that social media users in Indonesia have increased from year to year. The total active social media is 160 million or 59% of the total Indonesian population aged 16 to 64 years. 99% of social media users via mobile. The most widely used social media is the Twitter platform. Rapid development, many business lines are starting to use social media analysis to see the personality of users. This phenomenon is called personality analysis by utilizing Big Data. In the internal of Bank Riau Kepri itself, there are no tools that can be used to analyze a person, including the analysis of prospective debtors. Therefore, debtor data in the Core Banking System at Bank Riau Kepri internal and tweet data on the twitter platform will be analyzed using Big Data using a machine learning model with the application of the Decision Tree and Random Forest algorithms. This analysis aims to see the personality of prospective debtors by utilizing the Twitter platform social data media combined with big data from Bank Riau Kepri debtors to see the character, capacity, and capital. After the analysis is done, testing is done on the model built by performing Split validation and cross validation to determine the level of model accuracy. The end result will help to see the credit analysis of the prospective debtor, which will be visualized in the application in the form of credit scoring. Credit scoring using algorithms combined with Big Data shows a very good level of accuracy, as evidenced by several previous studies.
Implementation And Performance Analysis Development Security Operations (DevSecOps) using Static Analysis and Security Testing (SAST) Wedy Freddy Santoso; Dadang Syarif Sihabudin Sahid
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (624.294 KB)

Abstract

DevSecOps solves the problem by integrating the security of development operations through various development life cycles. benefits, implementation and challenges during the process. in addition to many documented web hacks. For the scope of work reported that the focus is on two widely used digital library systems: DSpace and Greenstone, in performing Static Application Security Testing (SAST) in addition to more traditional port scanning. Weaknesses were found and details how to make improvements to both systems to make them more secure. can ensure by considering more broadly on the forms of security problems found, to assist the development of software architecture in the future.
UKT (Single Tuition) Classification Prediction uses MKNN (K-Nearest Neighbor Modification) algorithm Dziki Adli; Dadang Syarif Sihabudin Sahid
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1003.8 KB)

Abstract

Islamic University of Sultan Syarif Kasim (UIN SUSKA) Riau Province has used an information system, namely the Sistem Registrasi (SIREG) to facilitate the registration of prospective students and also SIREG also provides a decision on determining the UKT of students who have been declared graduated. But there has never been an evaluation of SIREG's accuracy in determining the UKT. From these problems, a model is needed to be implemented to facilitate SIREG officers in conducting classifications to establish UKT new students. Using the MKNN method and supported by the K-Fold Cross Validation validation method, the classification results get an accuracy value of 71%
Using KNN Algorithms for Determining The Recipient of Smart Indonesia Scholarship Program Purwanto; Dadang Syarif Sihabudin Sahid
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1049.14 KB)

Abstract

The Smart Indonesia Card (KIP) scholarship program is a government scholarship program through the Ministry of Religion of the Republic of Indonesia which is given to students who have a good academic level but have a weak economic level. Sultan Syarif Kasim State Islamic University, Riau accepts new students every year, but the quota for the KIP scholarship program is limited. With the limited quota for the KIP program, a system is needed that is able to classify submission data from students who register for the KIP program, so that the selection process can be carried out, quickly, precisely, and in accordance with the required quota. In this study, the K-Modes and K-Nearest Neighbor (KNN) Algorithms were used by using the achievement variables, report cards, and national exam scores when high school, father's income, parental status, and homeownership status. Reprocessing is carried out before the testing stage, testing is carried out by performing the initial stages, namely clustering using the K-Modes algorithm, then validating or testing data by applying the Grid Search Cross-Validation (GSCV) method, and finally predicting using the KNN algorithm. The test resulted in a performance value of 66.79%.
Hotpoint Monitoring System Power Cable Termination Based On Internet of Things (IoT) Using Telegram Bot Muhammad Syahri; Agus Urip Ari Wibowo; Dadang Syarif Sihabudin Sahid
International ABEC Vol. 2 (2022): Proceeding International Applied Business and Engineering Conference 2022
Publisher : International ABEC

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1926.812 KB)

Abstract

Electricity is energy that is needed in any field, both industry and ordinary people. To be able to produce good quality electrical energy, it is necessary to monitor and maintain electrical power equipment to prevent equipment damage that can interfere with the electrical energy distribution system to consumers. One of the disturbances that are often experienced is the Hotpoint at the terminal connection section between the conductor cable and the equipment at the substation. Hotpoint is an increase in the production of acoustic pulses (sound) and an increase in temperature that causes energy dissipation resulting in the heating of a localized area. This Hotpoint will cause damage to the equipment if it occurs for a long time. In this research, a Hotpoint monitoring system for 20 kV power cable termination based on the Internet of Things was built to monitor the temperature condition of the 20 kV power cable termination in real-time. This system uses the MLX90640 IR Thermal Camera sensor as the cable termination temperature gauge and the DHT22 temperature sensor to measure the 20 kV cubicle panel temperature. This temperature value will be compared to determine whether there is a Hotpoint at the termination of the 20 kV power cable. This system uses a MySQL database and HTTP protocol for communication between the Raspberry Pi4 and the website dashboard, then for notifications using the Telegram bot. The sensor accuracy test is carried out by comparing the temperature value between the DHT22 sensor and the Hygrometer with an average measurement value difference of -1.7%, while the MLX90640 and Fluke Ir 568 sensor accuracy tests have an average measurement value difference of -1.13%°C. Based on the sensor accuracy testing, it can be concluded that all sensors have a fairly good performance in measuring the required temperature parameters.
Co-Authors Agus Urip Ari Wibowo Amelia Rahmadhani Apriantoni Apriantoni Bayu Hanif Pratama Dedi Irawan Dirman Hanafi Dziki Adli Fadhilla, Mutia Haryana Hairi Indah Lestari Indah Lestari Indah Lestari, Indah Juni Nurma Sari Juni Nurma Sari Kartina Diah Kusuma W Khairul Umam Syaliman Kurnia Rahman Agus Lulu Widyasari, Yohana Dewi Maksum Ro’is Adin Saf Mohd. Yasin, Suhaila Muhammad Ihsan Zul Muhammad Syahri Mutia Fadhilla Najwa, Nina Fadilah Okfalisa Okfalisa Purwanto Purwanto maspur Rahmadhani, Amelia Rangga, Adityapati Romi Fadli Syahputra Saf, Maksum Ro’is Adin Saktioto Saktioto Satria Perdana Arifin Sellya Meizenty Stefant Cristian sugianto Syabdan Dalimunthe Syamsudhuha Syamsudhuha Tomari, M. Razali Vepy Asyana Wahyu Candra Wahyuni, Retno Tri Wawan Kurniawan Wedy Freddy Santoso Winnie Alison Yasin, Suhaila Mohd. Yohana Dewi Lulu Widyasari