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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Journal of Information Systems and Technology Research Jurnal Komtekinfo
Liga Mayola
Universitas Putra Indonesia YPTK Padang
Arts Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Other

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Analisis Hybrid Decision Support System dalam Penentuan Status Kelulusan Mahasiswa Dodi Guswandi; Musli Yanto; M. Hafizh; Liga Mayola
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 6 (2021): Desember 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (542.458 KB) | DOI: 10.29207/resti.v5i6.3587

Abstract

Determination of graduation status is often faced by lecturers in every university. The facts show that many of the decisions still have a fairly high error rate in determining graduation status. This study aims to develop an analytical model in the process of determining student graduation using the Hybrid Decision Support System (DSS). The methods used in the analysis process are Analytical Hierarchy Process (AHP) and Technique for Others Preference by Similarity to Ideal Solution (TOPSIS). The performance of AHP can determine the value of the weight criteria and TOPSIS performs rankings to produce solutions in determining. The criteria indicators used to consist of Depth (C1), Material Breadth (C2), Answer Accuracy (C3), Fluency of Answers (C4), Scientific Attitude (C5), Logical Consistency of Content (C6), Authenticity (C7), Scientific Quality ( C8), Language (C9), and Writing (C10). The results of this study indicate that the Analytical Hierarchy Process (AHP) method provides a weighting value for each criterion with a fairly good accuracy rate of 85,86%. These results conclude that each criterion has a consistent level of relationship in determining student graduation. Based on the output of the TOPSIS analysis, the results presented can determine the student's graduation status correctly and accurately.
Implementasi E-Commerce Untuk Memperluas Pangsa Pasar Hasil Kerajinan UMKM Komunitas Hobi Kayu Padang Febri Hadi; Yuhandri Yuhandri; Liga Mayola
JDISTIRA Vol. 1 No. 1 (2021)
Publisher : JDISTIRA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1022.177 KB)

Abstract

Setiap UMKM sebenarnya sudah mempunyai ciri khas dari masing-masing produknya, terlebih lagi cara pengolahan kerajinan kayu. Tetapi yang perlu dilakukan disini adalah bagaimana produk milik UMKM tersebut dapat dipasarkan secara nasional maupun internasional dengan memanfaatkan E-Commerce. Selain itu dengan sosialisasi strategi pemasaran produk ini, tentunya juga bisa membantu meningkatkan penjualan UMKM tersebut. Terlebih Kota Padang merupakan Ibukota Sumatera Barat yang mana banyak dikunjungi oleh para wisatawan dari berbagai daerah di Indonesia.
Clustering Tingkat Penjualan Menu (Food and Beverage) Menggunakan Algoritma K-Means Hadi Syahputra; Liga Mayola; Dodi Guswandi
Jurnal KomtekInfo Vol. 9 No. 1 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (409.485 KB) | DOI: 10.35134/komtekinfo.v9i1.274

Abstract

Menu planning in a restaurant is part of the sales strategy. Each menu has a different level of sales. To determine the effectiveness of sales and raw materials, restaurants need knowledge of what menus need to be maintained and vice versa. An analysis that can determine the sales level menu is the analysis of the k-means algorithm data mining clustering method. The source of research data is from the history of menu sales transactions for 1 year, then analyzed by the k-means algorithm. The information found is in the form of popular F&B menus and sales level menus. The purpose of this study is to group the data menu on the level of sales (Food and Beverage). The method used is the Clustering method with the performance of the K-Means algorithm. The results showed that the clustering method with the K-Means algorithm gave a significant output in grouping sales data. The research contribution provides knowledge in the form of information in conducting sales data management
Medical Record Information System with Rapid Application Development (RAD) Method Mutiana Pratiwi; Liga Mayola; Vince Kris Hiburan Laoli; Ulya Ilhami Arsyah; Nila Pratiwi
Journal of Information Systems and Technology Research Vol. 1 No. 2 (2022): May 2022
Publisher : AIRA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v1i2.170

Abstract

Computer technology that is increasingly developing has created a situation that demands everything to be computerized. Science from technology has also changed the way of life of most Indonesians. The presence of information and communication technology affects the technology applied in information systems, especially the input and output mechanisms. One of them is at the Clinic which requires computer technology in its operations. The design of this website also uses 3 stages of Rapid Application Development (RAD) system design, the result of which is a website for a medical record information system. In order for clinical activities to run smoothly at the Clinic, an information system using the Rapid Application Development (RAD) method is needed because the software development process model is classified as an incremental technique and emphasizes short, short, and fast development cycles. Medical record system testing will be tested using Blackbox Testing and User Acceptance Test (UAT) testing.
Sistem Pakar Diagnosa Penyakit Hiperlipidemia Menggunakan Metode Certainty Factor Berbasis Web Muhammad Afdhal; Rita; Liga Mayola
Jurnal KomtekInfo Vol. 9 No. 4 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v9i4.321

Abstract

Perkembangan siklus modrenisasi seiring meningkatnya kepentingan manusia berbagai segi kehidupan telah mengubah gaya dan pola hidup saat sekarang ini. Hal ini dapat terlihat dari gaya hidup masyarakat yang membiasakan diri dalam pola hidup tidak sehat dengan banyak mengkosumsi makanan yang tidak sehat. Akibat yang ditimbulkan dengan hal ini adalah penyakit yang dapat menyerang bahkan dapat merenggut nyawa seseorang. Salah satu penyakit yang berkembang dari pola makanan tidak sehat salah satunya adalah Hiperlipidemia. Penyakit ini merupakan kumpulan lemak yang terdapat di dalam aliran darah atau sel tubuh yang sebenarnya dibutuhkan untuk pembentukan dinding sel. Penyakit ini mampu membuat sesorang mengalami penurunan kesehatan hingga mampu menyebabkan gejala penyakit struk. Dengan ini maka tujuan penelitia ini adalah untuk membangun sistem pakar yang mampu melakukan diagnosa penyakit Hiperlipidemia. Metode Forward Chaining (FW) dan Certainty Factor (CF) digunakan untuk memberikan hasil diagnosa yang cukup tepat dan akurat. Dataset penelitian ini menggunakan data gejala dan jenis dari penyakit Hiperlipidemia. Hasil penelitian ini memberikan keluaran berupa hasil diagnosa dengan nilai CF berdasarkan jenis penyakit dan gejala yang dialami oleh user. Hasil ini mampu dijadikan sebuah solusi alternatif guna membantu pihak medis dalam melakukan pengawasan terhadap penyakit Hiperlipidemia yang dialami oleh masyarakat. dengan hal ini maka manfaat penelitian ini  mampu dijadikan sebagai model analisis dalam penekanan laju pertumbuhan penyakit Hiperlipidemia.
Co-Authors Arsyah, Ulya Ilhami Dodi Guswandi Febri Hadi Guswandi, Dodi Hadi Syahputra M. Hafizh Muhammad Afdhal Muhammad Hafizh Musli Yanto Mutiana Pratiwi Nila Pratiwi Rita Vince Kris Hiburan Laoli Yuhandri Yuhandri, Yuhandri