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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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Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Rumah Sakit Menggunakan Metode Analytical Hierarchy Process (AHP) Rachmad Mustaqim; Siswanto Siswanto; Indra Kanedi
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5341

Abstract

The performance appraisal system currently running at Ummi Bengkulu Hospital still experiences weaknesses, including the employee appraisal process is still carried out manually and the data processing process does not use application programs in making decisions but still uses Microsoft Excel in data processing so it takes a long time. long enough. Therefore, a decision support system was designed for assessing employee performance at Ummi Bengkulu Hospital using the Analytical Hierarchy Process (AHP) method. This decision support system is designed using the PHP programming language and MySQL database. The system created can make it easy for Ummi Bengkulu Hospital to assess employee performance at Ummi Bengkulu Hospital quickly and accurately
Penerapan Metode Composite Performance Index Dalam Sistem Pendukung Keputusan Untuk Menentukan Penerima Zakat Studi Kasus Baznas Provinsi Bengkulu Wawan Alfarizi; Siswanto Siswanto; Dewi Suranti
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5375

Abstract

Zakat is one of the pillars of Islam that must be fulfilled and some muzaki entrust the distribution of zakat to National Zakat Agency (BAZNAS). Zakat collected at BAZNAS is then distributed to mustahik (zakat recipients) who have the right according to the applicable sharia provisions. Problems arise when in determining the suitability of potential recipients because the number is large and widespread over a certain period of time, requiring accuracy in selection. In this research, a decision support system was built to select potential recipients using the composite performance index method. The data used are criteria and sub-criteria, as well as potential recipients (alternative data). The criteria used are four criteria: residence, income, employment status, number of dependents, based on the results of research conducted by the writer.
Penerapan Metode Regresi Linear Berganda Dalam Prediksi Produksi Barang Pada PT. Depot Kayu Saudara Erjisun Erjisun; Siswanto Siswanto; Indra Kanedi
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6422

Abstract

PT. Brother Wood Depot is a furniture company that produces furniture and other items. Along with changes in goods production at PT. Brother Wood Depot from year to year, so it is necessary to estimate in the future whether production of goods will decrease or increase. Sometimes when we assume that the amount of production in the following month will decrease and reduce the amount of production, it turns out that demand in the following month actually increases. Application of the Multiple Linear Regression Method in predicting goods production at PT. The Brother Wood Depot is used to help provide an estimate of the amount of goods production that should be based on prediction results using the Multiple Linear Regression Method from aspects of supply and demand for goods. In determining the predicted results for the amount of goods produced in the following month and year, there are 3 supporting variables used which are used as time series data (past data), namely inventory, demand and production of goods in the previous month and year. Based on testing of the goods production prediction application at PT. It was found that the functionality of the application runs as expected, and is able to display predicted results of goods production for the next month and year using the Multiple Linear Regression Method
Sistem Pendukung Keputusan Pemberian Bantuan Kepada Nelayan Menggunakan Metode Simple Additive Weighting (SAW) Anastasya Panggabean; Siswanto Siswanto; Sapri Sapri
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6516

Abstract

Department of Marine Affairs and Fisheries of Bengkulu Province is one of the government agencies in Bengkulu Province. At Department of Marine Affairs and Fisheries of Bengkulu Province there are several assistance programs from the government, one of which is the provision of assistance to fishermen which is carried out every year, and the processing of recipient data is still done manually. The decision support system for providing assistance to fishermen can assist the Department of Marine Affairs and Fisheries of Bengkulu Province in processing data on providing assistance to fishermen and providing information output from the results of data processing, and can help make decisions to determine the provision of assistance to fishermen which is carried out annually based on the results of an assessment using the Simple Additive Weighting (SAW) method. Based on test data as many as 10 groups of fishermen after being processed through the SAW Method, the final results obtained are 5 groups of fishermen who are eligible to receive assistance, including Sabar Menanti, Pulau Indah, Taman Sari, NPM I, and Burung Camar Dua which are recommended to get assistance provided by the government. Based on the black box testing that has been done, it is found that the functionality of the application runs as expected and the application is able to display the results of the fishermen group assessment through the SAW Method stages.
Sistem Pendukung Keputusan Implementasi Penentuan Jurusan Pada SMK 5 Bengkulu Selatan Dengan Menggunakan Metode Weighted Product Betri Koko; Siswanto Siswanto; Reno Supardi
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6518

Abstract

In general, prospective new students are confused about choosing an engineering major that suits their abilities, so that in choosing a major they often follow the choice of their closest friends or their parents' choice. Choosing an inappropriate major will have consequences for the future of the new student. For this reason, a prospective new student must know his academic abilities and interests. With the decision support system for determining majors, it is hoped that it can help prospective new students to find out the greatest potential in choosing a major that suits their academic abilities and talents. This Decision Support System uses the Weighted Product method to find out which prospective new students have the potential to enter the engineering major and to find out choose the right major. The weighted product method is a method of determining a decision by multiplying to be able to relate attribute values, where each attribute must first be raised to the power of the weight of the attribute in question.
Sistem Pendukung Keputusan Pemberian Bantuan Pemasangan PDAM Gratis Di Kabupaten Kepahiang Reza Saputra; Siswanto Siswanto; Dewi Suranti
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6564

Abstract

The increasingly difficult economic conditions make the government have to play a greater role in the problem of poverty. With this free PDAM installation assistance, it is hoped that it can ease the burden on poor people who experience water difficulties. But often the provision of free PDAM installation assistance for low-income communities is still not right on target. Therefore, the author took the initiative to make a decision support system for providing free PDAM installation assistance for low-income people. The method used in this decision support system is the SAW method used to assess or select several alternatives in a limited number. The output results of this system are in the form of a ranking of community recommendations for recipients of free PDAM installation assistance which are assessed based on occupation, income, house conditions, and number of family dependents. Based on the test results of 14 samples of prospective beneficiaries in one village processed using the SAW method, the results obtained are prospective beneficiaries with the 3rd best Vi rating, because in one village only 3 beneficiaries received assistance
Penerapan Metode K-Means Clustering Dalam Mengetahui Minat Siswa Terhadap Mata Pelajaran Matematika Di SMP Negeri 19 Kota Bengkulu Murni Tiana; Siswanto Siswanto; Indra Kanedi
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6567

Abstract

Junior High School 19 Bengkulu City is one of the public junior high schools in Bengkulu City. In this school there is a Mathematics subject that is taught to students. Students' ability to understand the subject varies, so that sometimes it is difficult for teachers when the learning process is taking place. Interest in learning tends to produce high achievement, on the other hand, lack of interest in learning will result in low achievement and there are differences in interest in each subject. The implementation of K-Means Clustering Method in knowing students’ interest in mathematics subjects at Junior High School 19 Bengkulu City can make it easier for teachers to find out students’ interest and can be used as material for teacher evaluation in teaching and learning process in order to create high interest in subjects, especially mathematics. Based on the sample data used in class VIII.E on mathematics subject with 10 students in the odd semester of the 2023/2024 school year. The results of grouping students who fall into cluster C1 (very interested) are 4 students, while students who fall into cluster C2 (less interested) are 6 students. If it is percented, the Cluster C1 result is 60%.
Implementasi Data Mining Untuk Analisis Prilaku Konsumen Dalam Meningkatkan Penjualan Di Shopee Asyraf Muntasir Pratama; Siswanto Siswanto; Ricky Zulfiandry
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9388

Abstract

The rapid growth of e-commerce requires an in-depth understanding of consumer behavior to increase sales. This research applies a data mining method using the K-Means clustering algorithm to analyze weekly revenue data from the Anjani_Store.id store on the Shopee platform, in the period from January to July 2023. The research uses a waterfall approach and is implemented through the Python programming language with the Flask framework. The clustering results produce three groups of consumer behavior based on income levels: low, medium, and high. Clusters are analyzed to support promotional strategies and business decision making. This system was tested and showed that the application of the K-Means method was effective in grouping consumers appropriately and supporting increased sales based on data analysis
Penerapan Metode AHP (Analytical Hierarchy Process) Seleksi Atlet Pelajar Berkebutuhan Khusus Di Dinas Pemuda Dan Olaraga Kota Bengkulu Hengky Pernanda; Siswanto Siswanto; Reno Supardi
Jurnal Media Infotama Vol 22 No 1 (2026): April 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i1.10280

Abstract

Technological advances currently play a crucial role in supporting various human activities, including the athlete selection process. Youth and Sports Office in Bengkulu City (Dispora) is responsible for developing student athletes with special needs to achieve success at the regional and international levels. However, the current selection process remains subjective and lacks a structured decision support system. This study aims to apply the Analytical Hierarchy Process (AHP) method to assist in making the selection process for student athletes with special needs more objective, measurable, and transparent. The criteria used include body posture (anthropometrics), age, medical tests, and track record of achievements. The application of the AHP has proven effective in improving the quality of decision-making, providing fairer selection opportunities that align with the characteristics of prospective student athletes with special needs.
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.
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