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Analisis Penerapan Arsitektur Enterprise Pada Bagian Akademik Perguruan Tinggi (Studi kasus STMIK Bumigora Mataram) - STMIK Bumigora, Mataram, Ria Rismayati
IJNS - Indonesian Journal on Networking and Security Vol 5, No 2 (2016): IJNS April 2016
Publisher : APMMI - Asosiasi Profesi Multimedia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (172.663 KB)

Abstract

Abstraksi - Arsitektur Enterprise merupakan sebuah perencanaan atau merancang sebuah model yang kemudian diimplementasikan dalam sebuah organisasi, instansi atau perusahaan. Arsitektur enterprise dirancang dengan tujuan untuk menyelaraskan antara bisnis dan teknologi bagi kebutuhan suatu organisasi, dalam hal ini bagian kademik pada STMIK Bumigora Mataram dalam mencapati tujuan strategisnya. Permasalahan yang diangkat dalam penelitian ini adalah : apakah penerapan arsitektur enterprise pada bidang akademik di STMIK Bumigora Mataram sudah dijalankan dan kendala yang dihadapi dalam penerapan arsitektur enterprise?. Penelitian ini menggunakan metodologi TOGAF ADM dalam merancangan arsitektur enterprise dan data yang diperoleh dalam penelitian ini dikumpulkan melalui wawancara, observasi dan dokumentasi yang berkaitan dengan penerapan arsitektur enterprise di akademik STMIK Bumigora Mataram. Keluaran yang dihasilkan berupa sebuah framework arsitektur enterprise yang dapat dijadikan bahan untuk mencapai tujuan strategis. Kata kunci : arsitektur enterprise, TOGAF ADM, arsitektur bisnis, arsitektur data, arsitektur aplikasi, arsitektur teknologi, akademik.Abstraksi - Arsitektur Enterprise merupakan sebuah perencanaan atau merancang sebuah model yang kemudian diimplementasikan dalam sebuah organisasi, instansi atau perusahaan. Arsitektur enterprise dirancang dengan tujuan untuk menyelaraskan antara bisnis dan teknologi bagi kebutuhan suatu organisasi, dalam hal ini bagian kademik pada STMIK Bumigora Mataram dalam mencapati tujuan strategisnya. Permasalahan yang diangkat dalam penelitian ini adalah : apakah penerapan arsitektur enterprise pada bidang akademik di STMIK Bumigora Mataram sudah dijalankan dan kendala yang dihadapi dalam penerapan arsitektur enterprise?. Penelitian ini menggunakan metodologi TOGAF ADM dalam merancangan arsitektur enterprise  dan data yang diperoleh dalam penelitian ini dikumpulkan melalui wawancara, observasi dan dokumentasi yang berkaitan dengan penerapan arsitektur enterprise di akademik STMIK Bumigora Mataram. Keluaran yang dihasilkan berupa sebuah framework arsitektur enterprise yang dapat dijadikan bahan untuk mencapai tujuan strategis.Kata kunci : arsitektur enterprise, TOGAF ADM, arsitektur bisnis, arsitektur data, arsitektur aplikasi, arsitektur teknologi, akademik.
IMPLEMENTASI ALGORITMA FREQUENT PATTERN-GROWTH TERHADAP POLA MAHASISWA LULUSAN DENGAN RAPIDMINER Ria Rismayati; Ismarmiaty Ismarmiaty
Jurnal Informatika dan Rekayasa Elektronik Vol. 4 No. 2 (2021): JIRE NOVEMBER 2021
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/jire.v4i2.384

Abstract

This research aims to analyze the patterns formed from interconnected items using existing data mining techniques related to the graduation data of students of the S1 Informatics Engineering study program at STMIK Bumigora Mataram. The Undergraduate Informatics Engineering Study Program is one of the study programs at the Bumigora College of Management and Informatics (STMIK) which was founded on November 23, 1993. One of the factors that is considered influencing graduation is the preparation of a thesis for final year students. The number of graduates produced is inversely proportional to the use of graduate data for institutional advancement. This shows that the graduate data has not been maximally used which is used as material or input, especially for the study program to develop a thesis implementation management system to make it more effective and efficient. This study uses the association rule with the calculation of the FP-Growth Algorithm. FP-Growth is part of the association technique in data mining, where an alternative algorithm can be used to determine the data set that appears most frequently in a data set. The steps taken were (a) data collection, (b) selecting data, (c) applying the FP-Growth method, (d) implementing the software and (e) testing the results. From the test results obtained the output of 24 rules, which are then taken 8 strong association rules that have a high level of trust and are supported by a percentage of the overall data with a value of lift ratio> 1. The conclusion is that the students graduated with Mr. RA has a good thesis score between the 70-80 range and comes from the competence of Computer Networks with a 100% confidence level and is supported by 14.4% of the overall data, in line with graduate students with Mr. BK with a satisfactory thesis score between the range 80-90 which comes from Multimedia competence with a confidence level of 94.1% and is supported by 12.1% of the overall data with an infinite lift ratio value of 2.4
Segmentation of university customers loyalty based on RFM analysis using fuzzy c-means clustering Syahroni Hidayat; Ria Rismayati; Muhammad Tajuddin; Ni Luh Putu Merawati
Jurnal Teknologi dan Sistem Komputer Volume 8, Issue 2, Year 2020 (April 2020)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (81.531 KB) | DOI: 10.14710/jtsiskom.8.2.2020.133-139

Abstract

One of the strategic plans of the developing universities in obtaining new students is forming a partnership with surrounding high schools. However, partnerships made does not always behave as expected. This paper presented the segmentation technique to the previous new student admission dataset using the integration of recency, frequency, and monetary (RFM) analysis and fuzzy c-means (FCM) algorithm to evaluate the loyalty of the entire school that has bound the partnership with the institution. The dataset is converted using the RFM approach before processed with the FCM algorithm. The result reveals that the schools can be segmented, respectively, as high potential (SP), potential (P), low potential (CP), and very low potential (KP) categories with PCI value 0.86. From the analysis of SP, P, and CP, only 71 % of 52 school partners categorized as loyal partners.
Implementasi Metode Perbandingan Eksponensial (MPE) dalam Pendukung Keputusan Penilaian Kepala Madrasah Terbaik di Kota Mataram Febri Mamluatul Ulumi; Ria Rismayati
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 1 No 3 (2019): November
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v1i3.30

Abstract

The Madrasah Head who has good ability will give the best performance for the Madrasa he leads so that the Madrasa has good quality so that it can create a generation that is smart and has good character and good religion. One of the efforts of the Ministry of Religion of the Republic of Indonesia Mataram City Office to always maintain and improve the quality of Madrasah heads in the City of Mataram is to provide an assessment to choose the best Madrasah head so that all Madrasah heads in the City of Mataram have the motivation to always improve their quality. The design and manufacture of systems in this study use the waterfall methodology. This study uses the Exponential Comparison Method (MPE) which is one of the methods of the Decision Support System (SPK) used to determine the priority order of alternative decisions with multi criteria. The results of this assessment are to get the best Madrasah head ranking table in the city of Mataram based on the results of the system calculation, where these results can already be used by the Ministry of Religion of the Republic of Indonesia Mataram City Office as a consideration in determining the best Madrasa head in the city of Mataram. The conclusion of this study is the construction of a system that is able to produce the best level of Madrasah head assessment in the city of Mataram which can then be used to help the Ministry of Religion of the Republic of Indonesia Mataram City Office in making the decision to determine the best Madrasah head in the city of Mataram effectively and efficiently.
Rekomendasi Paket Menu Angkringan Waru Tanjung Bias Dengan Algoritma Frequent Pattern Growth Berbasis Web Lalu Aldila Maulana Fajar; Ria Rismayati
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 3 No 2 (2021): August
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v3i2.138

Abstract

Culinary business using carts selling various kinds of heavy food, light and drinks, is favored by many people to just fill their stomachs, gather with friends and even family. Culinary businesses or culinary destinations like this are known as Angkringan which are increasingly mushrooming in the millennial generation. Angkringan Waru, located in Tanjung Bias, is a gathering destination for all people to enjoy a relaxed atmosphere on the beach. Angkringan Waru provides 85 types of menus for its customers, the many menus often confuse customers in choosing snacks while enjoying the beachside atmosphere. Starting from these problems, data mining techniques are used with the Frequent Pattern Growth (Fp-Growth) algorithm to recommend items in producing a menu package consisting of 1 snack item and 1 drink item. The dataset used is transaction data from Angkringan Waru as many as 870 transactions, the resulting output is a menu package recommendation rule and implemented in a web for Angkringan Waru. The Fp-Growth Data Mining Application by providing a minimum support value of 20% and Confident 50% with a lift ratio > 1 produces 57 rules or menu package recommendations that will be offered to Angkringan Waru customers. The results of the application in the form of 57 menu package recommendations are then used as recommendations for Angkringan Waru customers, where these menus are the favorite menus of customers at Angkringan Waru.
Sehat Berinternet untuk Anak Sekolah Selama Masa Pandemi di SD IT Ulul Albab Ria Rismayati; Ismarmiaty Ismarmiaty
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 2 No 1 (2021): Juli 2021
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (932.684 KB) | DOI: 10.30812/adma.v2i1.1197

Abstract

The impact of the Covid 19 pandemi, which began in 2020, has changed almost all aspects of life, especially teaching and learning activities. Teaching and learning activities which are generally carried out face-to-face, during this pandemi, were implemented online or online using the internet media. The use of the internet among ustadz, ustadzah and students of SD IT Ulul Albab is not an obstacle, especially as children in this era grow up with the internet which has become an important part of the surrounding environment and the internet is easily accessed at home, school and other public facilities. From every facility obtained from the internet, of course, it produces 2 sides that are positive and negatif, and to reduce the negatif impact of activities that involve the internet, there is a need for assistance, direction and socialization of the internet in a healthy and safe manner. In the service that was carried out at SD IT Ulul Alabini, it was given assistance and socialization to ustadz and ustadzah in representing healthy internet access which would then be passed on to their students. From this service, an evaluation was also carried out by distributing questionnaires related to the results of the socialization carried out in conveying the material, that the participants of this service gained added value to utilize the internet media in a healthy manner as a learning tool for 89% of the participants who attended.
Architecture Enterprise Program Studi S1 Teknik Informatika dengan TOGAF Architecture Development Method (Studi Kasus : STMIK Bumigora Mataram) Ni Gusti Ayu Dasriani; Ria Rismayati
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 18 No 1 (2018)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.46 KB) | DOI: 10.30812/matrik.v18i1.342

Abstract

Program Studi S1 Teknik Informatika yang bernaung dibawah Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK Bumigora Mataram), sebagai program studi dengan jumlah peminatnya mendominasi keluarga besar STMIK Bumigora Mataram. Seiring dengan bertambahnya mahasiswa disertai dengan padatnya operasional yang dijalankan oleh civitas akademik sehingga mendorong pihak internal untuk mampu mendukung fungsi bisnis dengan menyelaraskan strategi bisnis dan teknologi yang digunakan. Pencapaian sebuah keselarasan teknologi informasi dengan bisnis yang dijalankan oleh STMIK Bumigora Mataram, sehingga dirancanglang sebuah arsitektur enterprise yang mampu menghasilkan sebuah Blue Print yang dilengkapi dengan sebuah Framework TOGAF sehingga mampu menganalisis arsitektur bisnis secara lengkap dan menyeluruh untuk periode waktu jangka panjang.
Ensemble Implementation for Predicting Student Graduation with Classification Algorithm Ria Rismayati; Ismarmiaty Ismarmiaty; Syahroni Hidayat
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 1 No 1 (2022): March 2022
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (420.941 KB) | DOI: 10.30812/ijecsa.v1i1.1805

Abstract

Graduating on time at the higher education level is one of the main targets of every student and university institution. Many factors can affect a student's length of study, the different character of each student is also an internal factor that affects their study period. These characters are used in this study to classify data groups of students who graduated on time or not. Classification was chosen because it is able to find a model or pattern that can describe and distinguish classes in a dataset. This research method uses the esemble learning method which aims to see student graduation predictions using a dataset from Kaggle, the data used is a IPK dataset collected from a university in Indonesia which consists of 1687 records and 5 attributes where this dataset is not balanced. The intended target is whether the student is predicted to graduate on time or not. The method proposed in this study is Ensemble Learning Different Contribution Sampling (DCS) and the algorithms used include Logistic Regression, Decision Tree Classifier, Gaussian, Random Forest Classifier, Ada Bost Classifier, Support Vector Coefficient, KNeighbors Classifier and MLP Classifier. From each classification algorithm used, the test value and accuracy are calculated which are then compared between the algorithms. Based on the results of research that has been carried out, it is concluded that the best accuracy results are owned by the MLPClassifier algorithm with the ability to predict student graduation on time of 91.87%. The classification model provided by the DCS-LCA used does not give better results than the basic classifier of its constituent, namely the MLPClassifier algorithm of 91.87%, SVC of 91.64%, Logistic Regression of 91.46%, AdaBost Classifier of 90.87%, Random Forest Classifier of 90.45% , and KNN of 89.80%.
Product Sales Promotion Recommendation Strategy with Purchase Pattern Analysis FP-Growth Algorithm Ismarmiaty Ismarmiaty; Ria Rismayati
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2023): Articles Research Volume 8 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11898

Abstract

The development of retail business technology is related to the need for management to meet customer demands by using technology. To help make effective sales strategic decisions, it is necessary to optimize the use of information technology on existing sales transaction data. The transaction database that has been stored as a company archive asset can be used for processing information that is useful in increasing product sales and promotions. This study aims to provide an analysis related to the product sales pattern of PT. X in Sumbawa Besar city. PT. X is a retail company that sells distributes daily consumer goods. The algorithm used is Frequent Pattern – Growth which is one of the algorithms in data mining used to find relationships in large data based on the number of occurrences of these data relationships. The Association Rule Mining method can be used in the retail business field, known as Market Basket Analysis. The application used for testing is Rapidminer 9.10. The research stages include: data collection, data preparation, FP-Growth algorithm implementation, result analysis and conclusions. The results of the tests carried out resulted in 819 rules with a total of 85 rules. The results of grouping strong rules based on the combination and number of products that produce information that is expected to be used as recommendations to promote products with discount, cross-selling, up-selling, product bundling and other types of promotions to increase product sales.
Pendampingan Manajemen Bandwidth Jaringan Komputer menggunakan Mikbotam pada SMKN 1 Lingsar Andi Sofyan Anas; Hasbullah Hasbullah; Ahmad Zuli Amrullah; Ria Rismayati; Muhammad Innuddin; Rifqi Hammad
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol 1 No 2 (2021): Desember
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (180.31 KB) | DOI: 10.35746/bakwan.v1i2.174

Abstract

Internet is one of the most important needs in human life. The need for the internet is increasingly crowded, making the world of education in Indonesia very enthusiastic about using it as a means of learning and learning. The use of the internet as a learning and learning tool makes it easier for educators (teachers) to interact with students (students) regardless of their position or distance. However, in meeting the need for a stable and fast internet, it is necessary to provide assistance on bandwidth management. In this assistance, one must be able to understand how much bandwidth is capable of optimizing internet connections for the learning and learning process at SMKN 1 Lingsar. In addition to these needs, it is important to know that bandwidth utilization is shared everywhere so that internet optimization for learning goes well. Therefore, optimal assistance aims to enable users to perform bandwidth management according to the stages of using mikbotam, so that monitoring of bandwidth usage can be carried out more optimally by SMKN 1 Lingsar. The mentoring method is carried out in 5 stages, namely planning, preparation, implementation, evaluation, and reporting. The results obtained from this service program are participants are able to perform bandwidth management according to the stages that have been given.