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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Algoritma Jurnal Inspiration Jurnal INSYPRO (Information System and Processing) SINTECH (Science and Information Technology) Journal Jurnal Informatika Universitas Pamulang Jurnal RESISTOR (Rekayasa Sistem Komputer) Klasikal: Journal of Education, Language Teaching and Science Indonesian Journal of Data and Science Kharisma Tech Jurnal Algoritma Journal of Technology Research in Information System and Engineering Agents: Journal of Artificial Intelligence and Data Science International Journal of Artificial Intelligence in Medical Issues
izmy alwiah musdar
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Public Health Other

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PENGUJIAN BLACKBOX PADA WEBSITE WORKER’S MENGGUNAKAN METODE EQUIVALENCE PARTITIONING Derick Triady; Izmy Alwiah Musdar; Hendra Surasa
KHARISMA Tech Vol 18 No 1 (2023): Jurnal KHARISMATech
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/kharismatech.v18i1.292

Abstract

Software testing is carried out to find error that exist in the software before they are found by the user. This study discusses how to do black box testing on website worker’s, which is a website that’s provide information about job vacancies. The test method that will be used is black box testing with the equivalence partitioning method as a test case design technique. The equivalence partitioning method is a method that divides data regarding input domain into partitions, from these partitions can produce test cases. The test result show that black box testing with the equivalence partitioning method can be used to find error in software. There are 29 test case where 68% of the test case successful or passed and 32% of the test case failed.
Enhancing Disease Management in Mango Cultivation: A Machine Learning Approach to Classifying Leaf Diseases Mastrika Giri, Gst. Ayu Vida; Musdar, Izmy Alwiah; Angriani, Husni; Taruk, Medi
Indonesian Journal of Data and Science Vol. 4 No. 3 (2023): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v4i3.111

Abstract

This study explores the application of machine learning techniques in the agricultural domain, focusing on the classification of two common diseases in mango leaves: Powdery Mildew and Sooty Mould. Utilizing the MangoLeafBD dataset, the research employs a Gradient Boosting Classifier, enhanced with mean shift image segmentation and Hu moments for feature extraction. The performance of the model was rigorously evaluated through 5-fold cross-validation, yielding insights into its accuracy, precision, recall, and F1-score. The results demonstrate moderate success, with the highest accuracy and precision observed in the initial fold, indicating the model's potential for reliable disease identification. The study addresses the challenge of distinguishing between diseases with similar symptomatic appearances, offering a novel, data-driven approach for disease management in mango cultivation. This research contributes to the growing field of precision agriculture, highlighting the potential of machine learning in enhancing disease diagnosis and treatment strategies, thus supporting sustainable agricultural practices.
ANALISIS PERFORMA WEBSITE MIND & SOUL MENGGUNAKAN GTMETRIX DAN WEBPAGETEST Ham, Ficky; Musdar, Izmy Alwiah; Hasniati
KHARISMA Tech Vol 19 No 1 (2024): Jurnal KHARISMATech
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/kharismatech.v19i1.413

Abstract

The Mind & Soul website is a website-based application developed to facilitate users in ordering and processing mental health counseling online with a counselor which can be accessed via the link https://mindandsoulofficial.com/. The performance of the Mind & Soul website requires detailed analysis to find out what the website's performance is like and what deficiencies the Mind & Soul website has. The purpose of this research is to test the performance of the Mind & Soul website using GTMetrix and WebPageTest so as to find out the performance details. Performance testing on the Mind & Soul website will be carried out using two tools, namely GTMetrix and WebPageTest. The collection method was carried out using the observation method, in which the researcher tested directly on the Mind & Soul website using GTMetrix and WebPageTest tools. Based on the results of the Mind & Soul website performance test on GTMetrix, all desktop and mobile website pages got grade A which means very good, while the results of the performance test using WebPageTest showed that the speed of all desktop and mobile pages is not bad and some pages still need to be improved from usability and ductility factors.
PERANCANGAN ULANG USER INTERFACE APLIKASI SUPERCONSIGN DENGAN METODE HUMAN CENTERED DESIGN Fonda, Surya; Musdar, Izmy Alwiah; Adys, Himala Praptami
KHARISMA Tech Vol 18 No 2 (2023): KHARISMATech Journal
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/kharismatech.v18i2.428

Abstract

This study aims to redesign the User Interface (UI) of the SuperConsign application using the Human-Centered Design method as a solution to enhance user comfort and satisfaction. The study involved 20 participants from the general public who have experience purchasing second-hand items and using second-hand sales applications to demonstrate the effectiveness of the Human-Centered Design method in creating a better user experience and improving the potential of the SuperConsign application in the market. The method comprises three main stages: inspiration, ideation, and implementation. Through observation and analysis of issues with the SuperConsign application, the study resulted in a better and more user-friendly UI redesign. The result of the study revealed a significant increase in usability scores from 38 to 76.5 based on the System Usability Scale (SUS). It can be concluded that SuperConsign is better and more user friendly after UI redesigning.
Implementasi Algoritma Advanced Encryption Standard untuk Pengamanan Data Pengguna Aplikasi Media Sosial VirCle Fajar, Mohammad; Kambodji, Audri Billy; Musdar, Izmy Alwiah
Jurnal Algoritma Vol 20 No 2 (2023): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.20-2.1466

Abstract

VirCle is a mobile-based social media application that was developed as a medium for communication and interaction between fellow users. Application user data is stored in the Firebase database, without any additional security mechanisms. Even though Firebase provides security services when data is transmitted as well as access management mechanisms, because Firebase is a back-end database service, where the accessing application and the data are on a separate layer, the stored VirCle user data can still be accessed, either by other external applications through programming interfaces, or users with specific roles in the system such as administrators. On the other hand, the existence of stored user data is very important and must always be kept confidential by VirCle application service developers and service managers. Therefore, this research aims to implement the Advanced Encryption Standard (AES) algorithm for encrypting VirCle application user data so that it has an additional layer of security. The encryption design uses the AES-128bit algorithm considering the speed of the encryption and decryption process which is relatively faster than other symmetric cryptographic algorithms. The AES implementation in this study uses the Kotlin language by utilizing the BouncyCastle 128-bit AES library and CBC operating mode and PKCS5 padding to assist the encryption and decryption process. The evaluation results show that the developed VirCle application can encrypt user data (plaintext) into coded data (ciphertext) which is then stored in the Firebase database, then successfully reads and decrypts the stored ciphertext data from the database for reuse. Evaluation of application performance from the speed aspect shows that the encryption and decryption process time for user data is quite fast with an average total time of 1.35 milliseconds for the encryption process, and 1.53 milliseconds for the decryption process. Apart from that, evaluating the Avalanche Effect (AE) from the results of the AES-128 bit encryption algorithm used, an average percentage of 50.36% was obtained, this shows that the level of data randomness is considered good.
Optimizing Neurodegenerative Disease Classification with Canny Segmentation and Voting Classifier: An Imbalanced Dataset Study Sinra, A.; Waluyo Poetro, Bagus Satrio; Angriani, Husni; Zein, Hamada; Musdar, Izmy Alwiah; Taruk, Medi
International Journal of Artificial Intelligence in Medical Issues Vol. 1 No. 2 (2023): International Journal of Artificial Intelligence in Medical Issues
Publisher : Yocto Brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijaimi.v1i2.97

Abstract

This study explores the efficacy of a Voting Classifier, combining Logistic Regression, Random Forest, and Gaussian Naive Bayes, in the classification of neurodegenerative diseases, focusing on Alzheimer's Disease (AD), Parkinson’s Disease (PD), and control groups. Utilizing a dataset pre-processed with Canny segmentation and Hu Moments feature extraction, the research aimed to address the challenges posed by imbalanced datasets in medical image classification. The classifier's performance was evaluated through a 5-fold cross-validation approach, with metrics including accuracy, precision, recall, and F1-Score. The results revealed a consistent recall rate of approximately 46% across all folds, indicating the model's effectiveness in identifying cases of neurodegenerative diseases. However, the precision and F1-Score were notably lower, averaging around 22% and 29%, respectively, underscoring the difficulties in achieving accurate classification in imbalanced datasets. The study contributes to the understanding of machine learning applications in medical diagnostics, specifically in the challenging context of neurodegenerative disease classification. It highlights the potential of using advanced image processing techniques combined with machine learning ensembles in enhancing diagnostic accuracy. However, it also draws attention to the inherent challenges in such approaches, particularly regarding precision in imbalanced datasets. Recommendations for future research include exploring data balancing techniques, alternative feature extraction methods, and different machine learning algorithms to improve the precision and overall performance. Additionally, applying the model to a broader and more diverse dataset could provide more generalizable and robust findings. This study is significant for researchers and practitioners in medical imaging and machine learning, offering insights into the complexities and potential of automated disease classification
Sistem Penunjang Keputusan Pemilihan Pekerjaan Menggunakan Metode Profile Matching Hamdan Arfandy; Erik Wijaya; Izmy Alwiah Musdar
AGENTS: Journal of Artificial Intelligence and Data Science Vol 3 No 2 (2023): Maret - Agustus
Publisher : Prodi Teknik Informatika Universitas Islam Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jagti.v3i2.64

Abstract

The aim of this research is to design a decision support system for job selection. Finding job is the primary goal for students after graduation. The problem that arises is that many alumni are unaware and still confused about which field of work to pursue. In this study, a web-based decision support system was developed with the intention of being accessible via desktop and mobile devices. The Profile Matching method is utilized to generate job recommendations for system users. The application development employed the Bootstrap framework to ensure a more organized web interface. System testing was conducted using the black box method with twenty-five test cases. The result of this research is the successful development of a decision support system for job recommendations, which has undergone the system testing process. The testing results indicate that the system functions properly according to the system specifications, and no calculation errors or ranking discrepancies were found in the decision outputs displayed by the system.
ANALISIS USABILITY PADA WEBSITE SERVIO MENGGUNAKAN METODE THINK ALOUD Triono, Andri Maruli Imanuel; Musdar, Izmy Alwiah; Surasa, Hendra
KHARISMA Tech Vol 20 No 1 (2025): KHARISMATech Journal
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/kharismatech.v20i1.541

Abstract

Service Electronica Online (SERVIO) is a web-based application project developed to provide online repair services for electronic goods. SERVIO can be accessed online through the website (https://serviceonline.bopolewali.com). The usability of the SERVIO website requires a usability analysis with the aim of ensuring that the website is accepted and used by users, as well as identifying the shortcomings of the SERVIO website. Usability testing on the SERVIO website will be conducted using the Think Aloud method. Based on the results of the usability test of the SERVIO website, respondents believe that the flow of the website is still not understandable. After the errors found in the website display were identified, recommendations were provided in the form of design improvements. The changes in design can be found in the login menu, navigation, service messages, and service progress.
IMPLEMENTASI DATA MINING MENGGUNAKAN ALGORITMA APRIORI PADA TOKO RUMAH SKINCARE 88 Sugianto, Michael Christian; S, Abdul Munir; Musdar, Izmy Alwiah
JTRISTE Vol 11 No 1 (2024): JTRISTE
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/jtriste.v11i1.511

Abstract

The purpose of this research is to implement the apriori algorithm on sales transaction data of cosmetic products at Rumah Skincare 88 store so that it can help develop marketing strategies and increase sales at the store. The results of this study are that the apriori algorithm was successfully implemented on the sale of cosmetic products at the RumahSkincare88 store. The support values used are 3% and 10% and the minimum confidence values are 30% and 50%. The number of association rules generated is 17 with the highest support value of 14% and the highest confidence of 53.4%. The resulting association rule with the highest support and confidence value is if consumers buy Powder/Foundation then they will also buy Lips. The recommended marketing strategies are Cross-Selling and Bundling. For Cross-Selling strategy that can be applied is if consumers buy Powder/Foundation, then when they want to pay the cashier can offer to buy Lips as well. As for Bundling, the strategy that can be applied is to sell Face Serum and Sunscreen in one package at a special price.
PERANCANGAN DESAIN UI/UX APLIKASI LOWONGAN PEKERJAAN MENGGUNAKAN METODE GOAL DIRECTED DESIGN Pangiawan, Harfandy Putra; Arianti, Arianti; Musdar, Izmy Alwiah
JTRISTE Vol 10 No 2 (2023): JTRISTE
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to design the UI/UX for a job vacancy application using the Goal Directed Design method. Data collection was conducted with 20 respondents who had used the Hi Jobs application, and the data was processed using the System Usability Scale (SUS). Based on the first evaluation using the System Usability Scale (SUS) questionnaire, the average score was 33.5, with Acceptability Ranges receiving the label "Not Acceptable," Grade Scales falling into the "F" category, and Adjective Ratings categorized as "Poor." This indicates deficiencies in the user interface design of the Hi Jobs application, both in appearance and features, and it did not meet the standard System Usability Scale (SUS) score of 68.After making improvements to the Hi Jobs application, a final evaluation was conducted using the System Usability Scale (SUS), resulting in an average score of 77. The Acceptability Ranges received the label "Acceptable," Grade Scales were in the "C" category, and Adjective Ratings were categorized as "Good." The findings of this research indicate that the Hi Jobs application, with its UI/UX design focusing on user needs and goals, allows job seekers and employers to interact easily and efficiently. This research contributes positively to the development of job vacancy applications with a focus on satisfying user experiences.
Co-Authors Abdul Munir S. Adys, Himala Praptami Angriani, Husni Arianti Arianti Azhari SN Caroline Layadi Chandra, Rikardo Christofer Veronica Wu Derick Triady Dhio Immanuel Salintohe Erik Wijaya Erlan Darwis Fonda, Surya Fransciska Karundeng Friantika Soplanit Geraldi R Wiwono Gisella Beatrice Ticoalu Gst. Ayu Vida Mastrika Giri Ham, Ficky Hamada Zein Hamdan Arfandy Hasniati Hasniati Hasniati, Hasniati Hendra Surasa Hong William Fondy Husni Angriani Judith Bryan Leonard Sie Junaedy Junaedy Junaedy . Kambodji, Audri Billy Layadi, Caroline Marlina marlina Melda, Melda Mohammad Fajar, Mohammad Muhammad Ariq Dzaky Nicolina Djiu Pangiawan, Harfandy Putra Poetro, Bagus Satrio Waluyo Randy Rikardo Chandra Rivaldo Winengko Ronald Kwandy S, Abdul Munir Samuel Pinontoan Sinra, A. St Muriati, St Sugianto, Michael Christian Surasa, Hendra Suwandy Sumbogo Syaiful Rahman Syamsul Bahri Syamsul Bahri Taruk, Medi Triono, Andri Maruli Imanuel Vivian Evania Liauren Willianto Willianto Yandi Aprilian Najoan