Wahyuddin S
@amiklps.ac.id
Assistant Professor
STMIK Amika Soppeng
Wahyuddin S. was born at Malaka-Bone-Sulawesi Selatan in 1992. In 2011 he attended STMIK Dipanegara Makassar and was completed in 2015. He was completed after attending 7 semesters and active on an XPcom (Extreme Programmer Computer) campus organization. He was also active as a lecturer assistant for three semesters and taught several courses on programming. He continued his Master of Information systems at UNIKOM Bandung in 2016 and was completed in April 2019. He worked as a lecturer at a campus (STMIK AMIKA Soppeng) 2019 to present and also a Freelance Web Programmer. Has competence in the field of software engineer, application developer, multimedia, web developer, network security, and data analyst.
EDUCATION
Magister of Information System UNIKOM
RESEARCH INTERESTS
Data Mining, Big Data
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Ahmad Saikhu, Rully Soelaiman, Sheinna Yendri, and S Wahyuddin
IEEE
In queueing systems, users need to know the expected response time of their jobs for decision-making and proofing system reliability. Because of this reason, there is a need to predict the response time of given jobs when a specific discipline is implemented in the queuing system. In this paper, we proposed a novel method combining simulation modeling and artificial intelligence methods to predict job response time on the M/M/1/SRPT queue. Simulation modeling is used for generating data, which is then used by the artificial methods to do the response time prediction. In our proposed approach, three attributes are used to predict the response time: job processing time, total processing time in the system, and total processing time of the preceding jobs in the queue. These attributes are used in both artificial intelligence methods: linear and support vector regression (SVR). Based on the case study testing result, our proposed method resulted in an average variance score of 94.5% using linear regression, 99.7% using SVR polynomial, and 99.8% using SVR RBF, which proves the prediction accuracy.
Ihyani Malik, Abdillah Abdillah, Lukman Nul Hakim Amran Saputra, Inayah Mappatoba, and Wahyuddin S
Springer International Publishing
S Wahyuddin, H Buchari, I I Wahab, Z Rahmat, and Z Fadli
IOP Publishing
The agricultural sector is a sector of the economy that is still the flagship in various regions in Indonesia, especially Soppeng regency. The area of Soppeng hills is approximately 800 km2 and is at an average altitude of 200 m above sea level, and has no coastal area. The utilization of Geographic Information Systems (GIS) promises resource management and modeling, especially quantitative models, to be more accessible and simpler. GIS is an efficient and effective way to know the characteristics of a region’s land and its development potential. Land suitability is the suitability of land for a particular purpose of use through the determination of land value (class) and land use patterns connected to the territory’s potential. It can be attempted more targeted land use along with its sustainability maintenance efforts. The spatial analysis involves modeling, testing, and interpreting model results to extract or form new information from a collection of geographic elements. This research will be carried out for 12 Months (1 year) through 4 stages. The research aims to identify land use’s suitability in the analysis of agricultural land suitability using geographical information systems in Soppeng regency area.
M Pradana, M D Rahmawan, S Wahyuddin, and R Imam
IOP Publishing
The purpose of this research is to observe the perceived quality of Telkom University online learning website from students’ perspectives. Students here act as the main users of the learning platform and we would like to see whether the perceived quality and the ideal quality already fulfil users’ expectation. The data used are the primary and secondary data with a set of sample taken from 100 students. We use the question items from website quality method and analyse the data with importance performance analysis (gap analysis). The research shows that the usability and service interaction aspects of the website have quite significant gaps between perceived and ideal qualities.
Mahir Pradana, Nurafni Rubiyanti, Wahyuddin S., Imanuddin Hasbi, and Dian Gita Utami
Informa UK Limited
ABSTRACT Indonesia is the country with the most COVID-19 cases in Southeast Asia. Indonesian older adults are facing the biggest threat and risk of infection. There are millions of underprivileged families expecting government aid during the pandemic. This article discusses the active role of local government units and community organisations, such as sub-districts or village offices and officially affiliated youth organisations, in ensuring unprivileged Indonesians’ safety and welfare. Local government and community organisations are also involved in the delivery of government aid to beneficiaries during the COVID-19 pandemic.
M. Pradana, A. Wardhana, C. Wijayangka, B. R. Kartawinata and S. Wahyuddin
SynthesisHub Advance Scientific Research
Either in public, private or vocational universities, entrepreneurship is recognized as a decent field of study, as a derivation of economics and business. Therefore, it is quite important to measure the entrepreneurial intention of the students. Therefore, entrepreneurship is a process requiring someone or group to act or behave in finding, evaluating, and exploiting the existing opportunities in production of items, service, or new effective process, so they will be able to compete with their own resources. While entrepreneurship intention can be defined as first step in a construction process of a commonly long-term effort or seen as an intention to commence a new business. there is contextual element including academic support, social support, and environment condition. Therefore, this study aims to provide theoretical approach on entrepreneurship intention of university students.
S Wahyuddin, Fauzi Insan Estiko, and Estiko Rijanto
IOP Publishing
Ageng Setiawan, S Wahyuddin, and Estiko Rijanto
IEEE
Production of sugarcane needs to be increased to respond to the continuously growing demand. In addition to solving the basic problems in sugarcane production such as seeding, planting, care, fertilizing, and harvesting, innovation in information and communication technology (ICT) needs to be carried out to realize a farm management information system (FMIS). This paper proposes a design of ICT platform for sugarcane harvesting operations to support operations and decisions by the management. The platform is composed of four layers i.e. source collection, big data, operation management & knowledge model, and presentation. It is designed based on the sugarcane farm operated in Sumatera, Indonesia. Some key variables regarding the operation are recorded and saved in a database. Production report and Big Data Analytics are carried out to improve the sugarcane harvesting operation. Examples of the big data logger view and the FMIS daily operation report view are presented. Further in-depth research on several aspects is necessary including the robustness of telecommunication, the security of data communication, climate effect on the hardware implementation, authorization, integration, and performance measurement.