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All Journal Jurnal Media Infotama SITEKIN: Jurnal Sains, Teknologi dan Industri GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Bima Journal : Business, Management and Accounting Journal Jurnal Multidisiplin Dehasen (MUDE) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Jurnal Komputer, Informasi dan Teknologi Jurnal Ekonomi, Manajemen, Akuntansi dan Keuangan
Siswanto Siswanto
Universitas Dehasen Bengkulu
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Journal : jurnal media computer science

 1 
Web-Based Online Booking Service System Application Design using Software Development Life Cycle Method Rinto Diantara; Siswanto Siswanto; Yupianti Yupianti
Jurnal Media Computer Science Vol 1 No 1 (2022): Januari
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (947.852 KB) | DOI: 10.37676/jmcs.v1i1.1902

Abstract

The purpose of this research is to design a web-based online booking service system application to become a structured booking service data management system. The information obtained will be developed towards computerization through the internet network, which so far is still done conventionally. Data management that can be done by the admin is managing admin data, customer data, booking data, mechanical data, page data and contact data. This application also supports the creation of payment invoices. This web-based online booking service system application has two application interfaces, one for the customer and the other for the administrator. Based on the results of tests carried out both offline and online, this online booking service system application can process booking service data and this application successfully displays information about car services, both booking packages, additional packages, estimated costs and payment invoices. Based on testing using a questionnaire on a web-based online booking service system application, the results obtained are that this application is quite helpful in managing vehicle service booking data and this application can assist the repair shop in providing information related to vehicle service to customers.
Determination of Recipients of Livestock Assistance for Villages Using the Simple Additive Weighting Method Anisyah Juniarti; Siswanto Siswanto; Jhoanne Fredricka
Jurnal Media Computer Science Vol 2 No 2 (2023): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i2.3945

Abstract

Decision support systems are systems capable of providing data and information. In today's digital and globalization era, where the need for fast, precise and accurate information is very important. What's more, currently various public and private agencies will develop their businesses, one of which is to make changes by utilizing sophisticated technology such as computers as a substitute for human labor, The simple additive weighting method is one of the methods used to solve the problem of fuzzy multiple attribute decision making (FMADM). The simple additive weighting (SAW) method is a method used to find optimal alternatives from a number of alternatives with certain criteria. The result of this research is a software that adopts the SAW method which is able to assist the agriculture and animal husbandry department for decision making in determining recipients of livestock assistance every year.
Implementation of Forecasting Sales of Electronic Goods Using the Semi Average Method at Alex Electronics Store Merwin Afrizal; Siswanto Siswanto; Aji Sudarsono
Jurnal Media Computer Science Vol 2 No 2 (2023): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i2.4433

Abstract

Alex Electronics Store is one of the Electronics Stores in Kepahiang. So far, the sales system at the Alek Elektronik Store is still done manually where every sale will be made a sales note that will be given to consumers, and then a recapitulation is made at the end of the month how many items are sold at the Alex Elektronik Store. In addition, the shop owner checks regularly by looking at the remaining inventory one by one, if the remaining electronic goods are less than 10, purchases will be made to increase the existing stock. However, this takes quite a long time, and the store only sees the remaining stock of goods at the end of the month, and the large number of items in the store makes it difficult for the store to determine the amount to buy, because it does not see sales data that occurred during the previous few months. Implementation of forecasting sales of electronic goods using the Semi Average Method at the Alex Elektronik Store is used to provide information on the results of forecasting the number of sales of electronic goods in each forecast month based on data analysis of the number of sales of electronic goods for the last 12 months. In this study, a supporting application was built by implementing the Semi Average Method in it so that the forecasting process for sales of electronic goods can be easily used. With this application, it can provide information to the owner of the Alex Electronics Store so that he can manage the availability of electronic goods in the store by looking at the results of the sales forecast of electronic goods in the following year, thus avoiding errors in the management of the availability of electronic goods. Based on testing using the MAPE method, the results of the accuracy of forecasting using MAPE are obtained, it is concluded that the MAPE value obtained is 96.67%..
Designing An Educational Game To Recognize Human Body Organs And The Functions For V-Grade Children Of Sdn 18 In South Bengkulu Using Construct 2 Rahma Safitrah; Siswanto Siswanto; Rizka Tri Alinse
Jurnal Media Computer Science Vol 2 No 2 (2023): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i2.4435

Abstract

Education is a very important thing for the progress of a nation. Success in the field of education will give birth to superior and competitive human resources. The learning process is an effort that can improve the quality of human resources that we can get at school. But there are still many schools today which in their learning process are still conventional or still use books. The learning process like this has many drawbacks, one of which is that students will get bored easily and find it difficult to understand the material. In the current era of advanced technology, there are many technologies that can be used as media in the learning process to replace the role of books, one of which is games. By using educational games as learning media for the introduction of human organs, the learning process will be more interesting and interactive. This research uses the Multimedia Development Life Cycle (MDLC) method in the process of making this game. With games as a learning medium, students will not get bored easily because they can learn while playing. Based on the results of the questionnaire from 16 respondents, the feasibility level of the game was 76.56% or in the acceptable category. Based on the tests conducted, it can be concluded that this educational game can help students at SDN 18 of South Bengkulu learn about human organs in a more enjoyable way.
Expert System For Diagnosing Mental Disorders At Soeprapto Special Psychiatric Hospital Bengkulu Province Using The Forward Chaining Method Ahmad Syukron Ali; Siswanto Siswanto; Jhoanne Fredricka
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.9034

Abstract

Expert systems are a branch of artificial intelligence designed to mimic the ability of an expert to make decisions or solve problems in a particular field. This study aims to develop a web-based expert system capable of performing diagnoses using the forward chaining method as an inference mechanism. This system is intended to help the public recognize specific problems, particularly in the field of health. Unfortunately, people often lack access to professional psychological services. This study aims to build web-based expert system that can help make an initial diagnosis of mental disorders using forward chaining method. This system is designed to collect symptoms from users, process them using a rule base determined by experts, and provide automatic diagnosis results. In its development, the system uses the PHP programming language and MySQL database to store symptom data, disease information, and consultation results. The inference process is conducted sequentially (forward chaining) based on the symptoms selected by the user until a conclusion is reached regarding the type of mental disorder and its likelihood. Testing results indicate that the system can provide reasonably accurate results in identifying users' mental conditions based on the symptoms entered. This system is expected to serve as a useful initial consultation tool, particularly in communities with limited access to mental health services. However, this system is not intended to replace the role of professionals but rather as a form of technological support to aid in early detection.
Expert System for Diagnosing Mental Disorders at Soeprapto Psychiatric Hospital in Bengkulu Province Using Forward Chaining Method Ahmad Syukron Ali; Siswanto Siswanto; Jhoanne Fredricka
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.9426

Abstract

Expert systems are a branch of artificial intelligence designed to mimic the ability of an expert to make decisions or solve problems in a particular field. This study aims to develop a web-based expert system capable of performing diagnoses using the forward chaining method as an inference mechanism. This system is intended to help the public recognize specific problems, particularly in the field of health. Unfortunately, people often lack access to professional psychological services. This study aims to build web-based expert system that can help make an initial diagnosis of mental disorders using forward chaining method. This system is designed to collect symptoms from users, process them using a rule base determined by experts, and provide automatic diagnosis results. In its development, the system uses the PHP programming language and MySQL database to store symptom data, disease information, and consultation results. The inference process is conducted sequentially (forward chaining) based on the symptoms selected by the user until a conclusion is reached regarding the type of mental disorder and its likelihood. Testing results indicate that the system can provide reasonably accurate results in identifying users' mental conditions based on the symptoms entered. This system is expected to serve as a useful initial consultation tool, particularly in communities with limited access to mental health services. However, this system is not intended to replace the role of professionals but rather as a form of technological support to aid in early detection.
Co-Authors Abdul Rahman Achmat Fikri Sallaby Agung Laksono Ridwan Agung Pradana Ahmad Arib Al Farisy Ahmad Syukron Ali Aji Sudarsono Anastasya Panggabean Andriyani Prawitasari Anisyah Juniarti Apriana Arius Satoni Kurniawansyah Asyraf Muntasir Pratama Betri Koko Damarsiwi, Eska Prima Monique Derry Aprido Yarangga Desi Mahdalena Devi Sartika Dewi Suranti Edy Hermansyah Eko Suryana Endah Puspaningrum Erjisun Erjisun Fhariska Dhia Putri Fijai Dea Sandika Fiqri Saputra Utama Fredricka, Jhoanne Hendi Raden Wijaya Hendri Antara Hengky Pernanda Herfianti, Meiffa I Putu Yogi Saputra Iis Dahlia Jhoanne Fredericka Kanedi, Indra Kanedi Khairil Khairil M. Adlan Al Hawari Nasution Merwin Afrizal Migi Migi Murni Tiana Nanda Eka Juniawan Nanti Kumelasri Nofi Qurniat Nofi Qurniati Popi Herawati Rachmad Mustaqim Rahma Safitrah Renal Pujangga Reno Supardi Reza Saputra Ricky Zulfiandry Rinto Diantara Rizka Tri Alinse Rizki Amelia Sapri Sapri Setiaji Ayu Handayani Surya Ramadhan Tara Aprilinda Tina Puspita Tommy Suriatno Vivi Yesinthia Wahyu Hidayat Wawan Alfarizi Wijaya, Ermy Wulandari Wulandari Yoli Andi Rozzi Yupianti, Yupianti Zulkarnain