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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Building of Informatics, Technology and Science IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT Jurnal Pengabdian Harapan Bangsa
Suryadi, Sudi
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Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Mathematics Mechanical Engineering Public Health

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Sistem Pendukung Keputusan Dalam Rekomendasi Kelayakan nasabah Penerima Kredit Menerapkan Metode MOORA dan MOOSRA Kusmanto, Kusmanto; Nasution, Mhd Bobbi Kurniawan; Suryadi, Sudi; Karim, Abdul
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2610

Abstract

In selecting credit recipients, it is necessary to have a recipient selection system that can overcome the problem of bad credit that often occurs (loans that are not repaid by the debtor). Based on this problem, a decision support system is needed that helps identify the wrong recipient. The method used in this study is the Moora method and the Moosra method, namely the method for determining priorities. A decision support system is a computer-based system consisting of interacting components: a language system component, a knowledge system component, and a problem-handling system component, and uses data and decision-making models to create semi-structured problems. It solves structured problems and semi-structured problems. and assist in decision making. Structured and unstructured problems, this system helps you get information about your customers, the results are more accurate and on target
Penerapan Metode Teorema Bayes Dalam Mendiagnosa Penyakit Autoimun Karim, Abdul; Esabella, Shinta; Kusmanto, Kusmanto; Suryadi, Sudi; Purba, Elvitrianim
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3407

Abstract

Autoimmune diseases are caused by the failure of the immune system to attack the body itself. According to data from the US Department of Health and Human Services, more than 23.5 million Americans have an autoimmune disease, which is difficult to diagnose because of the variety of symptoms it presents. Therefore, the development of mechanisms to identify autoimmune disorders is essential. One of the developing technologies in this field is the use of expert systems in diagnosing diseases. An expert system is a system developed by experts using science-based technology. In order to use it effectively, proper methods are needed, such as the Bayes Theorem approach, described by Thomas Bayes, a priest. The Bayes Theorem approach explains the relationship between the probability of event A and event B based on available information. This study attempts to facilitate the diagnosis of autoimmune diseases by using an expert system and Bayes' Theorem technique. With a confidence level of 0.57 or 57%, the examination results show that the patient suffers from an autoimmune disease of the type Hemolytic Anemia (HA) based on the patient's input
Pemamfaatan Sistem Informasi Penjualan Sparepart Dan Service Mobil Pada Bengkel Java Auto Service Berbasis Web Harahap, Syaiful Zuhri; JP, Gafar Ilyaz; Suryadi, Sudi; Irmayani, Deci
JURNAL PKM IKA BINA EN PABOLO Vol 1, No 1: Pengabdian Kepada Masyarakat | Januari 2021
Publisher : IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (480.514 KB) | DOI: 10.36987/ikabinaenpabolo.v1i1.1366

Abstract

Bengkel Java Auto Service merupakan sebuah usaha yang bergerak dibidang penjualan sparepart dan pelayanan service. Pada Bengkel Java Auto Service proses pencatatan dan pengolahan data sparepart, jumlah, harga sparepart dan data transaksi penjualan, serta data transaksi pelayanan service masih dilakukan dengan penulisan tangan. Untuk mengatasi permasalahan tersebut maka diperlukan suatu sistem berbasis web sebagai salah satu solusi. Untuk itu perlu pengoptimalan penggunaan komputer terhadap pemrosesan data dengan perancangan sebuah sistem informasi yang diaplikasikan kedalam bahasa pemograman PHP dan data mySQL agar dapat memecahkan masalah yang ada dan mampu menjawab kebutuhan perusahaan.Tujuan penelitian ini dibuat untuk mempermudah pemilik bengkel dalam mengolah data penjualan sparepart, data pelayanan service, laporan data sparepart serta pembuatan nota transaksi penjualan dan pelayanan service menjadi lebih mudha cepat dan efisien sehingga dapat membantu meningkatkan keuntungan bengkel Java Auto Service dalam menjalankan usahanya. Kata Kunci : Sistem Informasi, Penjualan, PHP, MySQL
Pelatihan Komputer dalam Peningkatan Sumber Daya Manusia Bagi Perangkat Desa Karim, Abdul; Kusmanto; Suryadi, Sudi; Febriani, Budi
Jurnal Pengabdian Harapan Bangsa Vol. 2 No. 2: Mei 2024
Publisher : PT. Bangun Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56854/jphb.v2i2.198

Abstract

Computer training plays an important role in improving human resources (HR) of village officials. This research aims to explore the impact of computer training on the ability and work efficiency of village officials. The methods used include surveys before and after training, direct observation, and in-depth interviews. The research results show that computer training significantly improves the technical skills of village officials, which contributes to increased productivity and services to the community. This training also builds self-confidence and increases technological understanding, which is important for adapting to increasingly digital work demands. Thus, computer training has proven to be an effective strategy in developing the human resource capacity of village officials, which, in turn, contributes to overall village progress and development.
Penerapan Data Mining Untuk Pengelompokan Terhadap Kualitas Kinerja Karyawan Dengan Menggunakan Algoritma K-Medoids Clustering Karim, Abdul; Esabella, Shinta; Kusmanto, Kusmanto; Hidayatullah, Muhammad; Suryadi, Sudi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7445

Abstract

HR management is recognized as a global issue and an integral part of competitiveness in the arena of globalization. The organizational structure is the placement of tasks from the very top to the placement of very basic tasks. Assessing the quality of employee performance is one of the work evaluation sessions that can provide the best for industry and citizens. In position placement, if someone does not suit the position they have, it will cause problems such as the company's operational processes not running well. Performance appraisal of employees aims to see the performance results that have been carried out or given by employees when occupying a position. Problems related to performance appraisal are important problems that must be resolved immediately. Data mining is a data processing process in the past, where data in data mining is a collection of data that has been collected over a certain period of time. Information data mining is a series of processes for exploring added value in the form of data produced by extracting and identifying patterns in an information base. Clustering is a part of data mining that aims to group based on the formation of new clusters. The K-Medoids algorithm is a partitional clustering procedure that minimizes the distance between labeled points. The K-Medoids algorithm is a classic Clustering partition technique that groups data sets of ni objects into k groups known a priori. From the results of research conducted using the K-Medoids method, 3 clusters were obtained. Where in cluster 1 there are 4 employees, in cluster 2 there are 3 employees and in cluster 3 there are 3 employees.
Co-Authors Abdul Karim Febriani, Budi Hidayatullah, Muhammad Irmayani, Deci JP, Gafar Ilyaz Kusmanto Kusmanto Kusmanto Nasution, Mhd Bobbi Kurniawan Purba, Elvitrianim Shinta Esabella Syaiful Zuhri Harahap