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Pengujian Aplikasi Sistem Informasi Absensi Karyawan PT Prakarsa Mitra Andalan Menggunakan Metode Black Box Mulyati, Sri; Kusyadi, Irpan; Akbar, Sulthon Aulia Azis; Saputra, Alex; Hidayat, Henriansyah
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 5 No. 2 (2022): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v5i2.17595

Abstract

Technological developments that gave birth to many quality software products. Quality software is software that has gone through testing. In software testing there are several things that must be tested, namely the software must be in accordance with what the user wants or needs, the software must work well when used so that there are no errors, the software must have a good response time when run. Software must be a cost and time efficiency solution. In software testing, one of the methods used is by using the blackbox method. The blackbox method has its own technique, one of which is the equivalence partitioning technique. The equivalence partitioning technique is a technique of dividing several parts or partitions to check each part or partition by testing the software.
Implementasi Black Box Testing pada Aplikasi Sistem Kasir dengan Menggunakan Teknik Equivalence Partitions Huda, Muhammad Nurul; Burhan, Muhammad; Satibi, Ahmad; Pradita, Helmy Agus; Saifudin, Aries; Kusyadi, Irpan
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 5 No. 2 (2022): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v5i2.17645

Abstract

Testing an application serves to check whether an application / program is running with what is desired or whether there are still errors / errors that need to be corrected so that the program created into a quality program. Software testing method consists of two types, namely Blackbox testing and Whitebox Testing where many are used in the time of the testers to check the program is appropriate or not with what they want. Testing this time the software that will be tested using the Blackbox testing method, this time testing only has the purpose to check the program being tested whether it is in accordance with the benefits that the manufacturer wants to the program without the tester having to know what program code is used in the application. Testing the Blackbox method is really a variety of one is Equivalence Partitions. which is utilized by us in the testing process this time. This technique is a trial in which the tester inputs data on all pages in the cashier application process, each page in the form of input will be tested and classified based on its function whether it is valid or not. What is desired in this test is the creation of the quality of the software produced in accordance with the benefits expected by the creator, and can also provide benefits to buyers who will use it.
Pengembangan Aplikasi Sistem Informasi Persediaan Barang Menggunakan Model Waterfall Saifudin, Aries; Saputra, Andi Kusuma; Saputra, Bagas; Subhan, Fajrial; Maulana, Fiqri Nanda; Kusyadi, Irpan
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 5 No. 4 (2022): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v5i4.21197

Abstract

In an enterprise, the inventory system is a very important aspect for the inventory needs to be used by the company. From the results of research that has been carried out by group 7, material inventory inspections are carried out manually, so that from these problems an information technology is needed for the inspection of a supply. In developing an inventory information technology, we will use the waterfall method. In the results of the experiment, it was found that the waterfall model can be developed to build an inventory information technology system that can improve employee performance and make it easier for companies to help companies to increase sales. To find out whether or not an application is feasible to conduct a feasibility test on a company using ISO 9145-3 and the results of the evaluation are obtained, Ease of learning by 78%, Ease of accessing programs by 85% and suitability in goals by 89%, ease of understanding by 83%
Penerapan Metode Waterfall dalam Perencanaan Sistem Informasi Penjualan Buku berbasis Aplikasi Website (Studi Kasus: Penjual Buku Toko 21 Jombang) Kusyadi, Irpan; S, Amaranullah Putra; Oktafani, Muhammad Dio; Ardani, Muhammad Rifky Adrian; Syaugi, Muhammad; Yulianti, Yulianti
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 5 No. 4 (2022): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v5i4.21378

Abstract

Information system is a system that combines human activities and the use of technology to support management and operational activities. Waterfall method is the oldest software development method because it is natural. The Website application itself is a program designed specifically for mobile phones with the Website operating system. In this study, the researcher wrote how to create an Website application information system by applying the waterfall method.
Penerapan Seleksi Fitur pada Deteksi Coronavirus Disease 19 (COVID-19) berbasis Random Forest Saifudin, Aries; Nirmala, Endar; Kusyadi, Irpan
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 4 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i4.40755

Abstract

Data mining using machine learning algorithms can be used to help analyze historical data to predict COVID-19. The dataset used for predicting COVID-19 has many features, but those features have the possibility of redundancy or irrelevance that can cause a decrease in classifier performance. This research proposes a model that implements feature selection to select relevant features and can provide improved performance predictions for diagnose COVID-19. Some proposed feature selection techniques are Sequential Forward Selection (SFS), Sequential Backward Selection (SBS), Sequential Forward Floating Selection (SFFS), Sequential Forward Floating Selection ( SBFS), Sequential Backward Floating Selection (SBFS), and selectKBest. The classification algorithm used to classify is Random Forest. The model that gives the best performance value is the model that applies the SFS dan SFFS as feature selection.
Enhancing Usability Testing Through Sentiment Analysis: A Comparative Study Using SVM, Naive Bayes, Decision Trees and Random Forest Basri, Hasan; Junianto, Mochamad Bagoes Satria; Kusyadi, Irpan
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 4 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i4.45117

Abstract

In the digital age, mobile applications have become an integral part of everyday life, making usability testing an essential factor in ensuring a seamless user experience. Traditional usability testing methods often demand considerable resources, including time and cost, which calls for more efficient and automated alternatives. This study explores the use of sentiment analysis as an innovative approach to evaluate the usability of mobile applications. By analyzing user reviews from the Google Play Store, the research compares the effectiveness of four machine learning algorithms—Support Vector Machine (SVM), Naive Bayes, Decision Tree, and Random Forest—in classifying sentiment and evaluating usability. A dataset consisting of 2,000 reviews from a banking app was collected and labeled based on usability criteria, such as efficiency, user satisfaction, learnability, memorability, and error rates. The feature extraction process utilized Term Frequency-Inverse Document Frequency (TF-IDF) to enhance the relevance of the review texts for sentiment analysis. The findings reveal that Random Forest achieved the highest accuracy (68.15%) and demonstrated the best performance in terms of F1 Score, precision, and recall, although it had the longest processing time. In contrast, Naive Bayes, while the fastest, showed lower accuracy and F1 Score, making it suitable for applications with large datasets or limited processing time. Decision Tree and SVM offered a balanced trade-off between speed and accuracy. The study concludes that Random Forest is the preferred choice when high accuracy and prediction performance are crucial, despite its longer processing time. Meanwhile, Naive Bayes is more appropriate for scenarios demanding rapid data processing, and SVM and Decision Tree are recommended when a balance between speed and accuracy is needed.
Segmentasi persepsi dampak media sosial pada UMKM menggunakan K-Means Putri, Mayang Anglingsari; Trihapningsari, Denisha; Basri, Hasan; Junianto, Mochamad Bagoes Satria; Kusyadi, Irpan
Jurnal Ilmiah Teknologi Informasi Asia Vol 19 No 2 (2025): Volume 19 nomor 2 2025 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v19i2.1188

Abstract

The rapid growth of social media usage has significantly influenced the marketing and development strategies of Micro, Small, and Medium Enterprises (MSMEs). However, there remains a limited understanding of how various users perceive the role of social media in supporting MSME growth. This study aims to segment user perceptions regarding the impact of social media on MSMEs, utilizing the K-Means Clustering method. The research novelty lies in combining perceptual analysis with an unsupervised machine learning technique to discover hidden patterns in public responses. Data were collected through a questionnaire distributed to MSME actors and users of MSME products across Indonesia. The questionnaire includes statements related to the accessibility, promotional effectiveness, and trust-building capability of social media. The clustering results categorize respondents into several perception groups—ranging from highly positive to neutral or skeptical, providing valuable insights for stakeholders and digital marketing strategists in targeting communication and support for MSMEs. This approach offers a data-driven strategy to optimize MSME empowerment through the appropriate use of digital platforms.
Pengujian Black Box pada Aplikasi Perpustakaan Berbasis Web Menggunakan Teknik Equivalence Partitioning Setiawan, Deny; Fadhillah, Muhammad Ardiansyah; Wibawa, Anggun; Sugiarto, Irwan; Mulyana, Agus; Kusyadi, Irpan
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 3 No. 2 (2020): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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

Abstract

In determining the level of quality of a software it is necessary to test the software. Tests tested can include specifications, design, and coding of the software. This test is conducted to test web-based library software. This test uses the Black Box Testing method using the Equivalence Partitioning technique. Black Box Testing is applied in order to find errors in software related to erroneous functions, errors in interface display, data structure errors or access rights in external databases, sub-optimal performance in a process, and errors in initialization or termination. The Equivalence Partitioning technique defines the cases to be tested by finding some errors and minimizing the number of cases that must be made. The Equivalence Partitioning test case design is based on the premise of the input and output of a component which is partitioned into classes according to the specifications of that component, which are treated equally (equivalence). It can also be assumed that the results of an input produce the same response. The expected result of testing this software is to ensure that this software is free from errors so that in its use there will be no obstacles that prevent the user from doing his work. And inform that the software is in accordance with predetermined specifications.
Implementasi Teknik Equivalence Partitions untuk Pengujian Black Box pada Sistem Informasi DAPODIKDASMEN Putra, Alvin Pratama; Nurdin, Noviar; Rondonuwu, Rio Valentino; Kusyadi, Irpan
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 3 No. 3 (2020): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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Abstract

DAPODIKDASMEN (Data Pokok Pendidikan Dasar dan Menengah) is an application that is very important for schools to be used in managing all data related to institutional, curriculum, student data, teacher data, and employee data, as well as data on facilities and infrastructure of all schools in Indonesia and schools- Indonesian schools abroad. This application is quite complex, if something goes wrong can result in large losses. For this reason, testing of features in the DAPODIKDASMEN application is needed to ensure that there are no problems that cause losses, especially for stakeholders (stakeholders), this test is carried out to provide assurance that the DAPODIKDASMEN application is error free and suitable for use. Testing the DAPODIKDASMEN application is proposed by Black Box using the Equivalence Partitions technique so that errors / defects can be identified and can be corrected immediately. The results of testing with the Equivalence Partitions technique can find errors that exist due to errors in the pre-coding stage, as well as unintentional errors in coding, so that the resulting application can be guaranteed to be of high quality and in accordance with established requirements.
Analisa dan Perancangan Aplikasi Sistem Penyewaan Kendaraan berbasis Java Putri, Septi Nur Ilmi; Zaeni, Mohammad; Jasmiati, Desi; Nirmala, Endar; Kusyadi, Irpan
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 4 No. 2 (2021): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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Abstract

Rental is a service provider that provides vehicle rental services. Currently, there are still many rental businesses that use manual systems for data processing which results in less efficient and slow work. Lack of information also makes it difficult for prospective tenants to find out the vehicle you want to rent. Making this application design aims to help facilitate ordering and information. This vehicle rental application will be designed using the Unified Modeling Language (UML) method, which visualizes the modeling using Use Case Diagrams and Activity Diagrams. Then the programming language that will be planned is JAVA language, with the MYSQL database as data storage. Meanwhile, the application development uses the Netbeans IDE 8.2. This system will provide results in the form of rental information and ordering transactions to facilitate vehicle rental activities.
Co-Authors Achmad Fahmi Respati Adam Pamungkas Adinda Putriani Pratiwi Agus Mulyana Agus Mulyana Agustian, Bobi Ahmad Arifin Ahmad Firmansyah Ahmad Rizal ahmad rizal Ahmad Satibi Ahmad Wahyu Awaludin Aji, Wahyu Akbar, Sulthon Aulia Azis Akhsyanal Gowpur Alex Saputra Alexius Grennantoro Alfeina Wahdayani Alma’arif Alvin Pratama Putra Ananta Dicapriyo Andini Afaf Andreas, Elbino Anggit Prastika Setiany Anggun Wibawa Annafiyah, Ika Komala Ardani, Muhammad Rifky Adrian Ardianto Abdul Moenir Ari Asyari Arief Prasetyo Aries Saifudin Atina Fahma Aziz, Fuad Abdul Bagas Dewantoro Susilo Candra Irawan Dahri, Syamsul dede muhtar safari Deny Setiawan Deny Setiawan Desi Jasmiati Devi Yunita Dewa Agung Laksono Dewa Nyoman Wester Yusadi Dhimas Marwahyu Dian Noviyanto Dicapriyo, Ananta Dimas Nugroho Elbino Andreas Eltyes Michael Efata Zebua Endar Nirmala Fadhillah, Muhammad Ardiansyah Fadillah Ahmad Fauzi, Muhamad Imam Febriansyah, M. Yoga Febryansyah, Feby Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah, Aksal Gusti Qhori Intan Syaputra Habi Risnanda Hamra Nurrazi Hasan Basri Hasan Basri Hasan Basri Helmy Agus Pradita Henriansyah Hidayat Hidayat, Henriansyah Ika Komala Annafiyah Irfansyahfalah, Muhammad Irwan Sugiarto Irwan Sugiarto Ivan Topani Iwan Setiawan Jaelani, Yusep Jasmiati, Desi Jayz Rahman Elfaiz Jejen Juanda Juanda, Jejen Junianto, Mochamad Bagoes Satria Khantaqwa Amri Khoirunissya Khoirunissya Kiki Mahendra Luthfia Zahra Maharizal Ilham Farabi Mamat Ismail Maulana, Fiqri Nanda Mauludin Yusup Suyudi Mayang Anglingsari Putri, Mayang Anglingsari Meri Hendayani mohadib mohadib Mohammad Kevin Putra Adiyaksa Mohammad Zaeni Muhamad Aldiansyah Muhamad Imam Fauzi Muhamad Rafli Mauludin Muhammad Alfatih Muhammad Andinun Muhammad Anshor Jihadi Muhammad Ardiansyah Fadhillah Muhammad Arinal Haq Muhammad Arvy Syahputra Muhammad Burhan Muhammad Burhan Muhammad Fakhri Fadlurrahman Muhammad Galih Susetyo Muhammad Iqbal Ashara Muhammad Irfansyahfalah Muhammad Noval Nur Auliya Muhammad Nurul Huda Muhammad Panca Prastyo Muhammad Zidni Ilman Munawaroh Munawaroh Nasution, Ali Napiah Noviar Nurdin Noviyanto, Dian Novri Ronald Fieterd Nurdin, Noviar Nurdin, Rachmat Septian Nurhasanah Nurhasanah Oktafani, Muhammad Dio Pipin Ma’ripudin Pradita, Helmy Agus Prasetyo Adi Widodo Purwanti Putra, Alvin Pratama Putri, Septi Nur Ilmi Rachell Fauziah Mawahdah Rachmat Septian Nurdin Rafli Ramadhan Rahmad Danil Fajri Rahmat Jaya Rifqi Farhansyah Ansyar Rio Valentino Rondonuwu Rivansyah Rivansyah Rondonuwu, Rio Valentino Roro Anindya Rahayulianti Sari S, Amaranullah Putra Saputra, Alex Saputra, Andi Kusuma Saputra, Bagas Sari, Aulia Kurnia Sartika Lina Mulani Satibi, Ahmad Septi Nur Ilmi Putri Setiany, Anggit Prastika Shelvi Eka Tassia Sidhiq, Restu Fajar Siti Aisah Siti Aisah Siti Jenabun Solly Aryza Sri Mulyati Sri Mulyati Subhan, Fajrial Sulthon Aulia Azis Akbar Syamsul Dahri Syaugi, Muhammad Tabah Yulistio Tedy Nugroho Teti Desyani Teuku Raja Muhammad Zaki Trihapningsari, Denisha Wahyudin Wahyudin Wibawa, Anggun Yanuar Luthfi Yono Cahyono Yuda Andika Purwara Yugo Aji Pamungkas Yulianti Yulianti Yulianti Yulianti Yulianti Yulistio, Tabah Zaeni, Mohammad