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SISTEM PAKAR UNTUK MENGETAHUI GANGGUAN DEPRESI SOMATOGENIK DENGAN METODE HYBRID (FORWARD CHAINING DAN CERTAINTY FACTOR) Pradani Ayu Widya Purnama; Teri Ade Putra; Riandana Afira
Jurnal Ipteks Terapan Vol 13, No 4 (2019): JIT
Publisher : LLDIKTI Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22216/jit.2019.v13i4.5864

Sistem Pakar secara umum adalah sistem yang berusaha mengadopsi pengetahuan manusia ke komputer, agar komputer dapat menyelesaikan masalah seperti yang biasa dilakukan oleh para ahli. Pada depresi somatogenik ini dianggap bahwa faktor-faktor jasmaniah berperan dalam timbulnya depresi, terbagi dalam beberapa tipe Depresi organic dan Depresi somatic. Sistem Pakar menggunakan metode Hybrid (Forward Chaining dan Certainty Factor) yang diterapkan dalam penelitian ini untuk menentukan berapa persentase gangguang depresi yang diderita oleh pasien. Sistem Pakar ini diimplementasikan menggunakan bahasa pemrograman php

Sosialisasi Desain Visual Brand Identity Friendly Bagi Usaha Masyarakat Kecil dan Menengah (UMKM) Riandana Afira; Irdam; Widia Marta
Majalah Ilmiah UPI YPTK Vol. 28 (2021) No. 2
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jmi.v28i2.83

Small and Medium Enterprises (MSMEs) Hobby Wood Padang is one of the wood craftsman communities in the city of Padang. The hobby of Kayu Padang has produced many works and creativity from wood raw materials. The rapid growth and competition in the world of technology and information in Indonesia, especially in the city of Padang, production competition is getting higher and we need to innovate even more. In order to compete with Padang wood hobby competitors, it is necessary to have a solid and consistent visual brand identity to the public so that the company can be more easily recognized by the public's mind. The visual brand identity design is carried out by elevating the company's image that is exclusive, unique, Asian-style, especially Indonesia-Padang with a friendly and warm family culture. The problem here is how to make branding that can be promoted nationally and internationally by utilizing Visual Brand Identity. With attractive branding, it will help every business owner to be more different and stand out from the competitors. This outreach program aims to provide understanding to the members of the Kayu Padang Hobby crafts community about attractive branding for promotion and building the image of the community and is expected to improve the quality of the Kayu Padang Hobi crafts community in making branding more attractive. Besides that, a continuous program is also needed so that the stages of material and socialization provided can be carried out perfectly and in accordance with the expected goals.

DSS for Selection of Exemplary Employees Using the Simple Additive Weight (SAW) Method Vicky Ariandi; Muhammad Ikhlas; Riandana Afira
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 4 (2020): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Anagement of human resources (HR) from an office affects many aspects that determine the success of the work of the Village Office. One of the most important things in HR management in an office is the selection of the best employees to spur employee morale in improving their dedication and performance. However, in reality, the Manggung Village Office has not been optimal in the implementation of the selection of the best employees, this is due to the unavailability of media that processes employee assessments and provides recommendations in selecting the best employees. The Decision Support System can adjust to the Manggung Village Office in optimizing the selection of the best employees. The purpose of this research is to produce the best employee information based on the needs of the Manggung Village Office. Decision Support Systems are part of computer-based information systems including knowledge-based systems or knowledge management that are used to support decision making in an organization or office. The method used is Simple Additive Weighting (SAW), the calculation of this method is to use the result of the largest value that will be selected as the best alternative, the calculation will be appropriate if the selected alternative meets the predetermined criteria. This decision support system for selecting the best employee was developed using the PHP programming language (Hypertext Processor File), as well as the MySQL database as the database server. The results of this study indicate that the best employee ranking with the highest score

CUSTOMER RELATIONSHIP MANAGEMENT (CRM) UNTUK PENINGKA-TAN PENJUALAN HASIL UMKM BADAN USAHA MILIK DESA (BUMDES) (StudiKasus : BUMDES Desa Apar Kota Pariaman) Yesri Elva; Novi Trisna; Riandana Afira
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 4, No 3 (2021): October 2021
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v4i3.697

Customer Relationship Management merupakan suatu strategi bisnis yang dirancang untuk mengoptimalkan keuntungan, pendapatan, dan kepuasan konsumen. Dengan adanya aplikasi ini pelanggan dengan mudah mengakses informasi mengenai jenis jenis barang dan biaya dari baranghasil Usaha BUMDES Desa Apar. Aplikasi ini juga dirancang untuk memudahkan pihak BUMDES Desa Aparuntuk mengetahui produk mana yang lebih banyak di minati oleh konsumen, selain itu Customer Relationship Management juga digunakan untuk menciptakan hubungan antara pihak perusahaan dan pelanggan dengan demikian kesetiaan pelanggan dapat dipertahankan dan tidak mudah untuk berpindah ke tempat lain

Penjadwalan Mata Pelajaran dengan Algoritma Genetika (Studi Kasus di SMK Negeri 1 Padang) Riandana Afira; Romi Wijaya
Jurnal KomtekInfo Vol. 8 No. 2 (2021): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Penelitian ini dilakukan untuk mempelajari Algoritma Genetika yang diimplementasikan dalam pembuatan aplikasi penjadwalan mata pelajaran di SMK Negeri 1 Padang. Data dikumpulkan melalui observasi dan interview yang dilakukan kepada staf yang bersangkutan. Selanjutnya data dianalisa untuk menentukan data yang dibutuhkan dalam proses pembuatan aplikasi. Dari eksperimen yang dilakukan dengan menggunakan Algoritma Genetika serta menggunakan PHP dan MySQL dapat memberikan hasil yang baik.

Optimization artificial neural network classification analysis model diagnosis Gingivitis disease Vicky Ariandi; Musli Yanto; Annisak Izzaty Jamhur; Firdaus Firdaus; Riandana Afira
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 3: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i3.pp1648-1656

Gingivitis is a disease that can be caused by the buildup of bacteria and plaque caused by leftover food. This disease can attack anyone, especially children who are not aware of maintaining dental and oral health. This study aims to build and optimize the classification analysis model for the diagnosis of Gingivitis. The classification analysis model was built using the artificial neural network (ANN) method which was optimized using fuzzy logic and the multiple linear regression (MRL) method. Optimization with fuzzy aims to develop a pattern of rules in the detection. The MRL method is also used as a process of measuring analysis patterns to ensure the analytical model presents maximum results. The results study indicate that the optimization of fuzzy and MRL methods provides excellent output. These results are based on the fuzzy output which can provide a pattern of 40 rules. The MRL method is can present the level of correlation of each analysis variable with a significant output having an average value of 94.2%. Based on the results of this study, the analysis model that is optimized with the fuzzy logic method and MRL contributes to maximizing the process of diagnosing Gingivitis.

DSS for Selection of Exemplary Employees Using the Simple Additive Weight (SAW) Method Vicky Ariandi; Muhammad Ikhlas; Riandana Afira
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 4 (2020): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Anagement of human resources (HR) from an office affects many aspects that determine the success of the work of the Village Office. One of the most important things in HR management in an office is the selection of the best employees to spur employee morale in improving their dedication and performance. However, in reality, the Manggung Village Office has not been optimal in the implementation of the selection of the best employees, this is due to the unavailability of media that processes employee assessments and provides recommendations in selecting the best employees. The Decision Support System can adjust to the Manggung Village Office in optimizing the selection of the best employees. The purpose of this research is to produce the best employee information based on the needs of the Manggung Village Office. Decision Support Systems are part of computer-based information systems including knowledge-based systems or knowledge management that are used to support decision making in an organization or office. The method used is Simple Additive Weighting (SAW), the calculation of this method is to use the result of the largest value that will be selected as the best alternative, the calculation will be appropriate if the selected alternative meets the predetermined criteria. This decision support system for selecting the best employee was developed using the PHP programming language (Hypertext Processor File), as well as the MySQL database as the database server. The results of this study indicate that the best employee ranking with the highest score

Optimization Analysis Model Determining PNMP Mandiri Loan Status Based on Pearson Correlation Teri Ade Putra; Pradani Ayu Widya Purnama; Riandana Afira; Yesri Elva
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 6 (2022): Desember 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v6i6.4469

PNPM Mandiri is an organization engaged in financing small and medium enterprises in the community. The problem that always occurs is an error in determining the loan status resulting in bad credit. This study aims to present a classification analysis model for determining loan status at PNPM Mandiri. The classification analysis model was built using the Perceptron algorithm artificial neural network. The analysis model will later be optimized using the Person Correlation (PC) method to measure the accuracy of the variables used. The research dataset is based on historical data from the last 2 years as many as 67 data samples. The analysis variables consist of Business Type (X1), Loan Amount (X2), Collateral (X3), Income (X4), and Expenses (X5). The results of the analysis show that the model built can provide optimal classification results. These results can be seen based on the results of variable measurements using the PC method indicating that variable X2 has no significant relationship. With the results of these measurements, the performance of the artificial neural network presents maximum results in determining loan status. Overall, the results of this study can provide an effective analytical model as well as an alternative solution for determining loan status.

DSS for Selection of Exemplary Employees Using the Simple Additive Weight (SAW) Method Vicky Ariandi; Muhammad Ikhlas; Riandana Afira
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 4 (2020): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Anagement of human resources (HR) from an office affects many aspects that determine the success of the work of the Village Office. One of the most important things in HR management in an office is the selection of the best employees to spur employee morale in improving their dedication and performance. However, in reality, the Manggung Village Office has not been optimal in the implementation of the selection of the best employees, this is due to the unavailability of media that processes employee assessments and provides recommendations in selecting the best employees. The Decision Support System can adjust to the Manggung Village Office in optimizing the selection of the best employees. The purpose of this research is to produce the best employee information based on the needs of the Manggung Village Office. Decision Support Systems are part of computer-based information systems including knowledge-based systems or knowledge management that are used to support decision making in an organization or office. The method used is Simple Additive Weighting (SAW), the calculation of this method is to use the result of the largest value that will be selected as the best alternative, the calculation will be appropriate if the selected alternative meets the predetermined criteria. This decision support system for selecting the best employee was developed using the PHP programming language (Hypertext Processor File), as well as the MySQL database as the database server. The results of this study indicate that the best employee ranking with the highest score

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