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SYSTEM USABILITY SCALE VS HEURISTIC EVALUATION: A REVIEW Ependi, Usman; Kurniawan, Tri Basuki; Panjaitan, Febriyanti
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 10, No 1 (2019): JURNAL SIMETRIS VOLUME 10 NO 1 TAHUN 2019
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5004.496 KB) | DOI: 10.24176/simet.v10i1.2725

Abstract

Usability merupakan salah satu bidang ilmu untuk menganalisa atau menguji tingkat kemudahan penggunaan perangkat lunak.  Usability atau yang sering dikenal dengan kebergunaan adalah teknik pengujian atau pengukuran aplikasi perangkat lunak yang dilihat dari lima aspek yaitu  learnability, efficiency, memorability, errors dan satisfaction. Untuk melakukan analisa atau pengujian usability dapat dilakukan dengan pendekatan heuristic evaluation (HE) dan system usability scale (SUS). Heuristic evaluation (HE) merupakan pengujian dengan cara melibatkan ahli dalam proses pengerjaannya dan system usability scale (SUS) merupakan pengujian dengan cara melibatkan pengguna akhir (end user) dalam proses pengerjaannya. Untuk itu dalam penelitian dilakukan pengkajian antara heuristic evaluation (HE) dan system usability scale (SUS). Dari hasil kajian didapat bahwa heuristic evaluation (HE) dapat dilakukan bersamaan dengan teknik pengujian lain namun membutuhkan biaya yang besar serta proses pengujian yang lebih mudah. Sedangkan system usability scale (SUS) proses pengujian dan perhitungan lebih rumit namun dapat dilakukan dengan jumlah sampel yang sedikit.
Solusi Prediksi Persediaan Barang dengan Menggunakan Algoritma Apriori (Studi Kasus: Regional Part Depo Auto 2000 Palembang) Ependi, Usman; Putra, Ade
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 5, No 2 (2019): Volume 5 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1128.428 KB) | DOI: 10.26418/jp.v5i2.32648

Abstract

Dalam memprediksi persediaan barang banyak metode yang dapat dilakukan antara lain yaitu dengan melakukan pengolahan data penjualan menggunakan metode Data Mining yang disertai dengan algoritma apriori didasarkan pada proses pembelian yang dilakukan oleh konsumen berdasarkan keterkaitan antar produk yang dibeli. Dengan menggunakan algoritma apriori pihak perusahaan dalam hal ini adalah Regional Part Depo Auto 2000 Palembang dapat menyediakan spare part yang dibutuhkan oleh konsumen khususnya dilingkungan Sumatera Selatan tanpa harus melakukan proses indent hal ini dikarenakan banyaknya jumlah spare part yang harus di sediakan oleh PT. Depo Toyota guna melayani kebutuhan konsumen di lingkungan Sumatera Selatan. Adapun tahapan data mining yang di gunakan yaitu Knowledge Discovery in Database (KDD) yang terdiri dari proses data cleaning and integration, data selection and integration, data mining, evaluation and prentation. Dari proses diatas didapat pola keterkaitan spare part sebanyak 646 dari jumlah spare part sebanyak 338.
Evaluasi tingkat kebergunaan aplikasi Administrasi Penduduk menggunakan teknik System Usability Scale Ependi, Usman; Putra, Ade; Panjaitan, Febriyanti
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 5, No 1 (2019): January-June
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1820.848 KB) | DOI: 10.26594/register.v5i1.1412

Abstract

Kebergunaan (usability) adalah salah satu faktor penting dalam sebuah aplikasi. Saat ini, Dinas Pemberdayaan Masyarakat Desa (PMD) Kabupaten Ogan Ilir telah menyediakan aplikasi administrasi penduduk desa sebagai usaha untuk mencapai tertib administrasi, terutama berkaitan dengan data penduduk. Untuk itu, penelitian ini mengusulkan evaluasi tingkat kebergunaan aplikasi dengan teknik System Usability Scale untuk melihat kelayakan aplikasi yang disediakan untuk digunakan. System usability scale memiliki sepuluh pernyataan sebagai instrumen evaluasi dan tiga indikator penilaian, yaitu acceptability, grade scale, dan adjective rating. Masing-masing pernyataan menjadi indikator untuk melihat tingkat kebergunaan aplikasi. Hasil evaluasi menunjukkan bahwa mayoritas responden dapat memanfaatkan aplikasi dengan baik yang dibuktikan dari nilai rerata setiap pernyataan > 3. Selain itu, aplikasi administrasi penduduk desa juga dapat dikategorikan sebagai excellent serta berada pada grade B dengan nilai akhir 88,5.  Usability is one of the most important factors of an application. Currently, the PMD Office of Ogan Ilir District has provided villages with administrative applications as an effort to achieve administration order and boost its effectiveness while analyzing population data. This research evaluates the usability and feasibility levels of applications using the scale system technique. This consists of ten statements as an evaluation instrument with acceptability, grade scale, and adjective rating used as test indicators. The evaluation results shows, that majority of respondents argue that the application is easily proven from the mean score of each statement > 3. In addition, the village administration application is in very good category and it is in grade B with a final score of 88.5.
PENGUJIAN USABILITY WEBSITE PONDOK PESANTREN QODRATULLAH MENGGUNAKAN SYSTEM USABILITY SCALE Purwaningtias, Fitri; Ependi, Usman
Jurnal Sains dan Informatika Vol 6 No 1 (2020): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (722.363 KB) | DOI: 10.34128/jsi.v6i1.220

Abstract

Website saat ini telah digunakan diberbagai jenis instansi termasuk instansi pendidikan seperti Pondok Pesantren Qodratullah. Saat ini website Pondok Pesantren Qodratullah menjadi tulang punggung dalam penyebaran informasi terkain pondok pesantren kepada wali santri, alumni, calon santri dan masyarakat luas. Mengingat pentingnya website bagi Pondok Pesantren Qodratullah maka perlu untuk dilakukan evaluasi apakah informasi yang diberikan dan website yang ada telah memiliki nilai kebergunaan bagi pengguna atau tidak. Untuk itu di dalam penelitian ini dilakukan evaluasi untuk melihat perspektif pengguna terhadap website. Prose evaluasi dilakukan dengan system usability scale dengan sepuluh instrumen sebagai pernyataan evaluasi. Hasil evaluasi menunjukkan bahwa website Pondok Pesantren Qodratullah mendapatkan nilai akhir 88. Nilai 88 berarti website Pondok Pesantren Qodratullah mendapatkan adjective rating yang excellence, grade scale tergolong kelompok B dan tingkat acceptability termasuk acceptable. The website is currently used in various types of institutions including educational institutions such as Qodratullah Islamic Boarding School. Currently the Qodratullah Islamic Boarding School website is the backbone in the dissemination of information about Islamic boarding schools to the guardians of students, alumni, prospective students and the wider community. Considering the importance of the website for the Qodratullah Islamic Boarding School, it is necessary to evaluate whether the information provided, and the existing website have a useful value for the user or not. For this reason, in this study an evaluation was conducted to see the user's perspective on the website. The evaluation process is carried out with a system usability scale with ten instruments as evaluation statements. Evaluation results show that the Qodratullah Islamic Boarding School website gets a final score of 88. A value of 88 means that the Qodratullah Islamic Boarding School website gets an adjective rating that excellence, grade scale belongs to group B and the level of acceptability is acceptable
Model for Identification and Prediction of Leaf Patterns: Preliminary Study for Improvement Muzakir, Ari; Ependi, Usman
Scientific Journal of Informatics Vol 8, No 2 (2021): November 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i2.30024

Abstract

Purpose: Many studies have conducted studies related to automation for image-based plant species identification recently. Types of plants, in general, can be identified by looking at the shape of the leaves, colors, stems, flowers, and others. Not everyone can immediately recognize the types of plants scattered around the environment. In Indonesia, herbal plants thrive and are abundantly found and used as a concoction of traditional medicine known for its medicinal properties from generation to generation. In the current Z-generation era, children lack an understanding of the types of plants that benefit life. This study identifies and predicts the pattern of the leaf shape of herbal plants. Methods: The dataset used in this study used 15 types of herbal plants with 30 leaf data for each plant to obtain 450 data used. The extraction process uses the GLCM algorithm, and classification uses the K-NN algorithm. Result: The results carried out through the testing process in this study showed that the accuracy rate of the leaf pattern prediction process was 74% of the total 15 types of plants used. Value: Process of identifying and predicting leaf patterns of herbal plants can be applied using the K-NN classification algorithm combined with GLCM with the level of accuracy obtained.
Abstract Keyword Searching with Knuth Morris Pratt Algorithm Ependi, Usman; Oktaviani, Nia
Scientific Journal of Informatics Vol 4, No 2 (2017): November 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i2.9797

Abstract

This research was conducted to answer the problems of researchers for finding publication or papers that suitable with their topics. In this research was developed software for searching abstract keyword using Knuth Morris Pratt algorithm to answer the problems of researchers. Waterfall model used to develop abstract keywords searching software as tools development that has five phases, namely communication, planning, modeling, construction and deployment. The software was developed can display search results effectively and efficiently according to the enter search keywords, it can see while search results are shown is in case sensitive. The software is also tested; the testing process is conducted by functional observation with black box testing approach, Observation results while testing is conducted show the software running suitable with expected or 100% same with entered keyword, so worthy to be used as one of the tools of researchers searching articles.
Evaluasi tingkat kebergunaan aplikasi Administrasi Penduduk menggunakan teknik System Usability Scale Ependi, Usman; Putra, Ade; Panjaitan, Febriyanti
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 5, No 1 (2019): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v5i1.1412

Abstract

Kebergunaan (usability) adalah salah satu faktor penting dalam sebuah aplikasi. Saat ini, Dinas Pemberdayaan Masyarakat Desa (PMD) Kabupaten Ogan Ilir telah menyediakan aplikasi administrasi penduduk desa sebagai usaha untuk mencapai tertib administrasi, terutama berkaitan dengan data penduduk. Untuk itu, penelitian ini mengusulkan evaluasi tingkat kebergunaan aplikasi dengan teknik System Usability Scale untuk melihat kelayakan aplikasi yang disediakan untuk digunakan. System usability scale memiliki sepuluh pernyataan sebagai instrumen evaluasi dan tiga indikator penilaian, yaitu acceptability, grade scale, dan adjective rating. Masing-masing pernyataan menjadi indikator untuk melihat tingkat kebergunaan aplikasi. Hasil evaluasi menunjukkan bahwa mayoritas responden dapat memanfaatkan aplikasi dengan baik yang dibuktikan dari nilai rerata setiap pernyataan > 3. Selain itu, aplikasi administrasi penduduk desa juga dapat dikategorikan sebagai excellent serta berada pada grade B dengan nilai akhir 88,5.  Usability is one of the most important factors of an application. Currently, the PMD Office of Ogan Ilir District has provided villages with administrative applications as an effort to achieve administration order and boost its effectiveness while analyzing population data. This research evaluates the usability and feasibility levels of applications using the scale system technique. This consists of ten statements as an evaluation instrument with acceptability, grade scale, and adjective rating used as test indicators. The evaluation results shows, that majority of respondents argue that the application is easily proven from the mean score of each statement > 3. In addition, the village administration application is in very good category and it is in grade B with a final score of 88.5.
Sentiment Analysis of Covid-19 Handling in Indonesia Based on Lexicon Weighting Ependi, Usman; Aliya, Sabeli; Wibowo, Ari
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 1 (2023): MARET
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v12i1.1615

Abstract

Covid-19, a contagious disease, has been classified as a global pandemic. Indonesia, as one of the ASEAN countries, has taken various measures to combat the spread of this disease. One of the government's initiatives to tackle the pandemic is the PeduliLindungi application, through which the public provides feedback on government policies. However, analyzing and comprehending public opinions in a non-subjective manner poses a challenge in objectively evaluating government services. This study aims to address this issue by conducting a sentiment analysis of Covid-19 handling in Indonesia, using a lexicon-based weighting system that includes SentiStrengthID and InSet. The decision tree (DT) machine learning algorithm is utilized to evaluate the polarity results provided by the lexicon. The results indicate that the sentiment polarity towards Covid-19 handling in Indonesia is negative based on both SentiStrengthID and InSet weights. Evaluating machine learning performance with the SentiStrengthID lexicon, the DT-entropy and DT-gini models achieved an accuracy of 82% and 83%, respectively. Similarly, evaluating machine learning performance with the InSet lexicon, the DT-entropy and DT-gini models achieved an accuracy of 81% and 82%, respectively.
Machine Learning Models for DDoS Detection in Software-Defined Networking: A Comparative Analysis Ferdiansyah, Ferdiansyah; Antoni, Darius; Valdo, Muhammad; Mikko, Mikko; Mukmin, Chairul; Ependi, Usman
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.864

Abstract

In today's digital age, Software-Defined Networking (SDN) has become a pivotal technology that improves network control and flexibility. Despite its advantages, the centralized nature of SDN also makes it susceptible to threats such as Distributed Denial of Service (DDoS) attacks. This study compares the effectiveness of three machine learning models Random Forest, Naive Bayes, and Linear Support Vector Classification (LinearSVC) using the 'DDoS SDN dataset' from Kaggle, which contains 104,345 records and 23 features. An equal 70/30 ratio was used on model. The models were then assessed using measures such as accuracy, precision, recall, and F1-score, and ROC curves. Among the models, Random Forest outperformed the others with a 97% accuracy, precision values of 1.00 (benign traffic) and 0.94 (malicious traffic), and an ROC AUC score of 1.00. In contrast, Naive Bayes and LinearSVC recorded lower accuracies of 63% and 66%, respectively. These findings underscore Random Forest's effectiveness in detecting DDoS attacks within SDN environments.
The Performance Analysis of SIKITO LLDIKTI Region II System using COBIT 2019 Framework: A Case Study Wulandari, Intan Fitriana; Herdiansyah, Muhammad Izman; Kunang, Yesi Novaria; Cholil, Widya; Ariandi, Muhamad; Ependi, Usman
International Journal of Artificial Intelligence Research Vol 7, No 2 (2023): December 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i2.832

Abstract

In today's organizational landscape, information technology plays a critical role in supporting ongoing activities. Therefore, it is essential to conduct an analysis to determine the advantages and disadvantages of IT implementation. This research focuses on the Higher Education Service Institute (LLDIKTI) Region II, a government agency responsible for improving the quality of higher education in its working area. LLDIKTI Region II uses an information technology system that aligns with the Institute's vision and mission. However, the governance level of the Online Functional Position Information System known as SIKITO has never been assessed, highlighting the need for a maturity framework to measure SIKITO's level and align it with LLDIKTI's vision and mission goals. COBIT 2019 is a framework that aligns with the vision and mission of LLDIKTI and demonstrates how each stakeholder's differences affect the use of information technology based on the maturity level of the implemented system. This research applied the COBIT 2019 framework in LLDIKTI Region II, utilizing the APO07, BAI08, and MEA03 domains. The results indicate that SIKITO's maturity level is below the expected value of -2.33, indicating a need for further development. This research contributes to the field by providing insights into the importance of aligning IT governance with an organization's vision and mission, and the role of maturity frameworks such as COBIT 2019 in achieving this alignment.