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All Journal Jupiter CESS (Journal of Computer Engineering, System and Science) Jurnal Pengabdian Pada Masyarakat Jurnal Ilmiah Matrik Martabe : Jurnal Pengabdian Kepada Masyarakat JURIKOM (Jurnal Riset Komputer) Jurnal Informatika Global JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Pengabdian Masyarakat Asia Jurnal Pengembangan Sistem Informasi dan Informatika Jurnal Bina Komputer Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer

Diana

Universitas Bina Darma

Author-ID : 2555326

Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Social Sciences Other

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Perbandingan Implementasi Ct Pro Dan Algoritma C45 Menentukan Pola Penyakit Pasien Stroke (Studi Kasus Rs. Siti Fatimah Palembang) Abi Yansa; Diana
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 15 No 1c (2023): Jupiter Edisi April 2023
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./5713/15.jupiter.2023.04

The development of adult data mining has penetrated into every segment, this has an effect on the health sector. With these developments can help the process both in health care and disease prevention in patients. Stroke is a disease that is currently the cause of death with a percentage of 10.9% in Indonesia. This happens because of the difficulty in predicting the symptoms experienced. From these problems, technology is needed with the use of data mining to cluster and classify the results of patient medical records in order to overcome the problem of stroke. This study uses a clustering technique by comparing the CT-Pro algorithm and the C45 algorithm. The results of this study indicate that the C45 algorithm produces better accuracy and results than the CT-Pro algorithm.

Group Decision Support System Untuk Menentukan Manajer Proyek Pada Perusahaan Smart Integrated System Menerapkan Metode Fuzzy Tahani Arif Athallah; Diana Diana
Journal of Information System Research (JOSH) Vol 4 No 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i3.3373

Project is a series of activities carried out within a limited period of time with certain resources to achieve the best results in the future. In a series of activities, the project must have problems or obstacles. The success of the project is influenced by who and how to deal with problems or obstacles during the project. The project manager is the person chosen to be responsible for activities in the project management process for the benefit of the company and is a core figure in the success of a project and is the most influential factor in the success of project management. The obstacle that exists in Smart Integrated System companies is that there is no project manager selection process that implements a requirement to become a project manager. Plus, the role of the project manager is always changing and being chosen on the spur of the moment and randomly. This study aims to overcome problems that may arise in group decision making in Smart Integrated System companies. Solving problems in Smart Integrated System (SIS) company will use a system called a website-based Group Decision Support System (GDSS) that will apply the Fuzzy Tahani method. Admin determines the high Query Fuzzification value for each set of Membership Function criteria / sub-criteria. The results of system testing on four project manager candidates found that a candidate named Jaka has the right to become a project manager. The project manager candidate selected according to the system is the best project manager candidate based on the criteria provided.

SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN LOKASI USAHA WARALABA MENGGUNAKAN METODE BAYES Diana Diana
Jurnal Ilmiah Matrik Vol 19 No 1 (2017): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

The aim of this research is to develop a decision support system to determine the location of the franchise for determining strategic business location has a big share a role in determining the success of a company.Step-solving is SDLC approach includes the following phases: 1) planning, 2) analysis, 3) design, 4) implementation and 5) maintenance. The method applied is the method of Bayes. Decision-making with Bayesian methods require information about the probability of each alternative on issues faced to generate the expected value as a basis for decision making. This research resulted in a decision support system to determine the location of the franchise by applying Bayesian methods. In the testing phase, based on the results of five trials with a variety of data obtained by the fact that the order of business location recommendations provided by the system is consistent.

IMPLEMENTASI METODE DEMPSTER SHAFER DAN DESAIN BASIS DATA PADA SISTEM PAKAR DIAGNOSA PENYAKIT MATA Diana Diana
Jurnal Ilmiah Matrik Vol 19 No 2 (2017): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Limited knowledge of the patient against eye disease becomes a problem and make the patient difficult to predict the eye disease he suffered. In this case, the patient will need an expert who can early diagnose eye disease in order to prevent early. The existence of an expert system can be used as a consultation medium, where expert knowledge has been transferred into the computer system can be used as the basis by the expert system in answering user questions. The steps used are state assessment, knowledge acquisition and design. This research is focused on designing rule rules and database design. The Demspter Shaffer method is used for designing rule rules and relational database used as the database model. The results of this study is a database design on expert systems to diagnose eye disease.

DISTRIBUSI BINOMIAL SEBAGAI ESTIMASI PROBABILITAS KESUKSESAN PADA UJI COBA KUALITAS LAYANAN SISTEM INFORMASI Diana Diana
Jurnal Ilmiah Matrik Vol 19 No 3 (2017): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

The objective of the research is to implement binomial distribution to estimate the probability of success in the trial of service quality of information system using variables that exist in E-ServQual model. Binomial distribution can model the number of successes on the number of samples n of the population N, by doing n times experiment and there are only two possibilities that are successful / fail. The instrument used is a questionnaire on a linkert scale. The results of this study were p(very satisfied) = 0.288, p(satisfied) = 0.425, p(quite satisfied) = 0.18, p(not satisfied) = 0.072 and p(very unsatisfied) = 0.035. The results of the tests with the variation of the values of n and x result in the fact that small sample quantities and large probability values will increase the probability of success to be obtained.

STUDI DESKRIPTIF TENTANG PEMANFAATAN INTERNET SEBAGAI MEDIA PEMBELAJARAN Diana Diana
Jurnal Ilmiah Matrik Vol 18 No 1 (2016): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

The aim of research to examine the use of the Internet as a medium of learning. The result shows: 1) Human resources 79.1% of the students were able to use the internet. 74.2% of respondent happy when lecturer assign tasks with internet media, but 14,2% feel anxiety. Learning resources obtained from the lecturers and the internet (55%), internet usage only media content downloading and uploading. 73.3% the students categorized as medium users. 2) Facilities on the Internet is widely used e-learning (56.7%) and web searching (39.2%). 3) infrastructure, 95.8% of students own a laptop and 93.3% have a private network for internet access. Speed internet access on campus assessed quickly and campus hotspot so that utilization is quite high. 4) Student perceptions include the perception of ease of access to the Internet, the usefulness of the Internet, the Internet influence on the process and learning outcomes in both categories.

SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN KELAYAKAN BISNIS MENERAPKAN SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE (SMART) Diana Diana
Jurnal Ilmiah Matrik Vol 18 No 2 (2016): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Criteria for the feasibility study in this research is the aspect of finance and economics, consists of six criteria: Payback Period, Net Present Value, Average Rate of Return, Internal Rate of Return, Profibility Index. Benefits of this feasibility study to determine which businesses are worth proceed or not proceed. The method applied is Simple Multi-Attribute Rating Technique (SMART) was chosen because of its simplicity in calculation process, thus simplifying construction of the system. Step system development is the waterfall method, consisting of 1) Analysis of software requirements, 2) Design, 3) Preparation Program Code and 4) Testing. This research resulted in a decision support system in order to determine the feasibility of a business by applying Simple Multi-Attribute Rating Technique (SMART). In the testing phase obtained by the fact that businesses are recommended to change depending on the value of the weight of the criteria entered by the user.

IMPLEMENTASI COMPOSITE PERFORMANCE INDEX PADA MULTI CRITERIA DECISION MAKING (MCDM) UNTUK MEMILIH LOKASI USAHA UMKM Diana Diana
Jurnal Ilmiah Matrik Vol 20 No 3 (2018): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

The selection of the right location for Micro, Small and Medium Enterprises (MSMEs) will have a positive influence on the development of MSMEs and is expected to provide optimal income. The criteria used to select MSME businesses are place rental costs, availability of electricity, availability of clean water, road access, parking area, level of security, proximity to suppliers, similar business and population density of implementation. The Composite Performace Index (CPI) for choosing a location produces location 4 as the best location. In this paper, a single dimension weight sensitivity test is carried out to see the stability of the CPI by conducting trials on 6 variations in the criteria weight. The sensitivity test results that the CPI local weight stability interval is 0.01≤CPI≤0.41, where Location 4 is in the first rank position. The results of the global weight stability interval are at intervals of 0.01 ≤CPI≤ 0.21, where the results of the ranking position of all alternative business locations do not change.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI USAHA JASA UMKM MENERAPKAN ANALYTICAL HIERARCHY PROCESS –WEIGHTED PRODUCT METHOD Diana Diana; Suzy Oktavia Kunang; Iin Seprina
Jurnal Ilmiah Matrik Vol 22 No 2 (2020): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jurnalmatrik.v22i2.1005

This study produces a decision support system for selecting the location of the MSME service business in Alang-Alang Lebar Palembang. There are 2 methods used in this application, namely the Analytical Hierarchy Process (AHP) and the Weighted Product Method (WPM). AHP is used to determine the weight of the criteria and WPM is used to rank the location of the MSME service business. The criteria used in this SPK are rental fees (K1), renovation needs (K2), availability of clean water (K3), availability of electricity supply (K4), presence of asphalt roads (K5), parking space (K6), population density (K7 ), the presence of competitors (K8) and proximity to suppliers (K9). The AHP calculation results show that the rental fee has the highest weight, namely 0.35, which means that the level of importance of the rental fee is 35%. The WPM calculation results show that the location of the 8th MSME service business is the recommended location.

GROUP DECISION SUPPORT SYSTEM UNTUK MENENTUKAN KENAIKAN JABATAN MENERAPKAN METODE GAP PROFILE MATCHING Hendra Prayitno; Diana Diana
Jurnal Ilmiah Matrik Vol 23 No 3 (2021): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jurnalmatrik.v23i3.1593

The aims of this study is to build a Group Decision Support System (GDSS) application to determine employee promotions. There are three assessment teams in this GDSS, namely the general manager, HRD 1 and HRD 2. This is expected to reduce subjectivity in determining employee promotions. There are two criteria used, namely work attitude and intellectual capacity. Each criterion has several sub-criteria. The work attitude criteria consist of 8 sub-criteria, namely appearance, discipline, ability to accept opinions, motivation, self-confidence, courtesy, responsibility and honesty. Intellectual capacity criteria consist of 4 sub-criteria, namely knowledge insight, communication, speed of thinking and loyalty. The application of the GAP Profile Matching method has been proven to improve the performance of the GDSS. This method is recommended as one of the appropriate methods to select employees who have the most appropriate profile with the job profile. In this method, the smaller the GAP between the employee profile, the greater the opportunity for the employee to be able to occupy the position offered.

Co-Authors Abi Yansa Arif Athallah Arip Arip Beni Harzani Bunga Intan damayanti, selvia Dwi Hurriyati Dwi Melina Edi Surya Negara Firamon Syakti Fitria Apriani Hadiyansyah Hadiyansyah Hendra Prayitno Herdiansyah, M. Izman Iin Seprina Iin Seprina Muhammad Nazrey Rachmadi Noviani Noviani Ria Andika Siti Sauda Suci Ramadani Suzy Oktaria Kunang Suzy Oktavia Kunang Suzy Oktavia Kunang

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