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Dampak Kelas Kata Bahasa Arab Terhadap Hasil Mesin Penerjemah Berbasis Statistik Heroza, Rahmat Izwan
Jurnal Sistem Informasi Vol 6, No 1 (2014): -
Publisher : Jurusan Sistem Informasi Fakultas Ilmu Komputer Universitas Sriwijaya

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Abstract

Tulisan ini meneliti dampak kata yang dapat memiliki beberapa kelas kata terhadap hasil mesin penerjemah berbasis statistik dalam menerjemahkan dokumen berbahasa Arab ke dalam bahasa Indonesia. Penelitian ini mengungkap bahwa kalimat yang memiliki kata yang memiliki beberapa makna diterjemahkan tidak sesuai dengan kelas katanya. Penelitian ini akhirnya mengusulkan solusi untuk mengurangi kesalahan pemilihan makna tersebut. Hasilnya adalah tingkat efektifitas sebesar 20% atau sebanyak 5 dari 25 kalimat yang mengandung kata yang dapat memiliki beberapa kelas kata bisa diterjemahkan dengan baik menggunakan mesin penerjemah berbasis statistik yang telah mengimplementasi solusi yang diusulkan dalam penelitian ini.
Pengembangan Web Dashboard Lalu Lintas Menggunakan File GPX dengan R Heroza, Rahmat Izwan
Jurnal Sistem Informasi Vol 10, No 1 (2018): April
Publisher : Major of Information Systems Faculty of Computer Science Sriwijaya University

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Abstract

Tulisan ini mencoba mengembangkan web dashboard lalu lintas menggunakan file GPX dengan bahasa pemrograman R. File GPX yang digunakan pada penelitian ini adalah file yang dihasilkan dari perjalanan lalu lintas Palembang – Inderalaya selama 3 bulan yang mengandung data longitude, latitude, dan timestamp. Data ini kemudian dibersikan dan diproses menggunakan bahasa pemrograman R untuk menghasilkan informasi spasial berupa peta yang ditampilkan pada sebuah website.
Visualisasi Kondisi Lalu Lintas pada Dashboard Time Series menggunakan User Generated Data Heroza, Rahmat Izwan; -, Willy
Jurnal Sistem Informasi Vol 9, No 2 (2017): Oktober
Publisher : Major of Information Systems Faculty of Computer Science Sriwijaya University

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Abstract

Abstract Visualization of uncertainty conditions of a traffic become the main focus of this study. Traffic conditions described by the location data transmitted by mobile based application that is installed on the user's smartphone that cross from Palembang to Inderalaya, vice versa. This data is then displayed using a time-series web dashboard. Time-series web dashboard which is based on HTML-5, allows users to monitor changing conditions and also can provide data and improve the accuracy of the data analysis. Keywords: dashboard, time-series, gps, probe, android   Abstrak Visualisasi kondisi lalu lintas yang tidak menentu menjadi fokus utama dari penelitian ini. Kondisi lalu lintas digambarkan oleh data lokasi yang dikirimkan oleh aplikasi berbasis mobile yang terinstall pada smartphone pengguna jalan Palembang-Inderalaya. Data ini kemudian ditampilkan menggunakan sebuah web dashboard time-series. Web dashboard time-series berbasis HTML5 ini memungkinkan pengguna untuk memantau perubahan kondisi serta dapat memberikan data dan meningkatkan ketepatan analisis data. Kata kunci: maksimal 5 kata terpenting dalam makalah
Determination of Discounts Using K-Means Clustering with RFM Models in Retail Business Zebua, Rina Sisca; Heroza, Rahmat Izwan; Adrian, Monterico; Atrinawati, Lovinta Happy
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 8, No 1 (2022): June 2022
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (835.8 KB) | DOI: 10.24014/coreit.v8i1.14695

Abstract

Intense competition in the business sector motivates every company to manage services to regular consumers to the fullest. Increase customer loyalty can be done by grouping customers into several groups and determine appropriate and effective marketing strategies for each group. This study aims to propose the right targeting of discounts that can increase customer loyalty in the retail business. Customer grouping uses data mining techniques with the Cross-Industry Standard Process for Data Mining (CRISP-DM) method, which is divided into six phases, namely business understanding, data understanding, data preparation, modelling, evaluation, and deployment. The formation of this cluster uses k-means clustering method and is based on RFM (recency, frequency, monetary) analysis. From the results of the silhouette test on 2734 transaction data from 210 customers of PT. XYZ from October 2019 to March 2020, three customer clusters were formed. From these three clusters, one cluster that has the best frequency and monetary values is chosen so that it is considered the worthiest group to be given a discount in order to maintain its loyalty.
Implementation of Design Thinking Methods in Information Systems Academic Guidance at the Information Systems Department Faculty of Computer Science Sriwijaya University Kelana, Nurullah Marina; Heroza, Rahmat Izwan; Juanta, Palma
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 6 No. 1 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i1.2797

Abstract

During their study period, one of the programs provided to students is academic guidance. Academic mentoring is an activity where students consult academic supervisors which aim to help students plan studies and solve study problems, one example is the academic mentoring program at the Information Systems Department, Faculty of Computer Science, Sriwijaya University. However, in practice there are problems experienced by students but they are not detected from the start because of the low monitoring of their academic supervisors which causes delays in graduation. This study aims to produce a prototype design of the Academic Guidance Information System so that it can be used as a platform for monitoring student guidance. The method used is the design thinking method which has 5 stages, namely empathize, define, ideate, prototype and test. At the ideate and prototype stages, the Fogg Behavior Model theory is used as a reference material. Evaluation of the prototype design results using the Maze Design usability tool. Testing uses two test methods, namely the Mission Usability Score (MIUS), Maze Usability Score (MAUS) and System Usability Score (SUS). The MIUS and MAUS tests got a score of 78 and entered the medium/marginal characteristics. The SUS calculation gets a score of 90.25 which leads to the acceptable category with a grade scale (A). The test results were carried out with 1 test iteration to 20 respondents and showed that the design had met the feasibility standard. Keywords : Information Systems, Academic Guidance, Design Thinking Methods, Fogg Behavior Model, Maze Design.