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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknik ITS IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Semantik Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmiah Kursor Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal EECCIS Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Infotech Journal Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Inspiration KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) JOIV : International Journal on Informatics Visualization Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal ULTIMA InfoSys SISFO Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) PINISI Discretion Review Jurnal Rekayasa Industri (JRI) Teknika Journal La Multiapp JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Melek IT: Information Technology Journal Jurnal Nasional Teknik Elektro dan Teknologi Informasi Sewagati Bulletin of Social Informatics Theory and Application Scientific Journal of Informatics
Yuhana, Umi Laili
Departemen Teknik Informatika, Fakultas Teknologi Elektro Dan Informatika Cerdas, Institut Teknologi Sepuluh Nopember Surabaya
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Software Defect Prediction Based on Optimized Machine Learning Models: A Comparative Study Muhammad Zain Fawwaz Nuruddin Siswantoro; Umi Laili Yuhana
Teknika Vol 12 No 2 (2023): Juli 2023
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v12i2.634

Abstract

Software defect prediction is crucial used for detecting possible defects in software before they manifest. While machine learning models have become more prevalent in software defect prediction, their effectiveness may vary based on the dataset and hyperparameters of the model. Difficulties arise in determining the most suitable hyperparameters for the model, as well as identifying the prominent features that serve as input to the classifier. This research aims to evaluate various traditional machine learning models that are optimized for software defect prediction on NASA MDP (Metrics Data Program) datasets. The datasets were classified using k-nearest neighbors (k-NN), decision trees, logistic regression, linear discriminant analysis (LDA), single hidden layer multilayer perceptron (SHL-MLP), and Support Vector Machine (SVM). The hyperparameters of the models were fine-tuned using random search, and the feature dimensionality was decreased by utilizing principal component analysis (PCA). The synthetic minority oversampling technique (SMOTE) was implemented to oversample the minority class in order to correct the class imbalance. k-NN was found to be the most suitable for software defect prediction on several datasets, while SHL-MLP and SVM were also effective on certain datasets. It is noteworthy that logistic regression and LDA did not perform as well as the other models. Moreover, the optimized models outperform the baseline models in terms of classification accuracy. The choice of model for software defect prediction should be based on the specific characteristics of the dataset. Furthermore, hyperparameter tuning can improve the accuracy of machine learning models in predicting software defects.
Penggalian Pola Kemampuan Peserta Ujian Berbasis Klaster untuk Penentuan Aturan Sistem Penilaian Umi Laili Yuhana; Eko M. Yuniarno; Supeno Mardi S. Nugroho; Siti Rochimah; Mauridhi Hery Purnomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 4: November 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1137.837 KB)

Abstract

Determination of initial ability of examinees is one of the important stages in the adaptive assessment system. The accuracy of the examinee's ability level prediction will influence the appropriateness of choosen item difficulty level for each examinee. This paper discusses the patterns mining of cognitive ability based on cluster using K-Means. The K-means method is utilized to mine the examinees’ ability pattern from examinees’ pretest answers. The patterns are used for developing rules to determine examinee’s ability level in the adaptive assessment system. The addition of this method is proposed to improve the performance of the prediction methods to predict the examinees’ ability level. Extraction of graduation value at each level is done before the pattern excavation process. Patterns found become the basis of making the rules as well as replace the rules from the experts in previous studies. The prediction of participants' ability is done by implementing rule based method classifier. A total of 140 data were used for the experiment. Based on the results of the experiment, it can be concluded that the cluster-based pattern mining using K-means can be utilized to determine the cognitive ability level of examinee. The application of this method to student pretest data shows the performance improvement of all the prediction methods used in this paper, i.e. Naive Bayes, MLP, SMO, Decision Table, JRIP, and J48. This method is suitable for adaptive assessment system where the rules can be adjusted along with the addition of the number of the data as well as the addition of the number of variations in the ability pattern of examinees.
Evaluasi Desain Antarmuka Website Sekolah Menengah Atas Menggunakan Metode Heuristic Evaluation Ahmad Nur Hidayat; Umi Laili Yuhana
Jurnal Rekayasa Industri (JRI) Vol. 5 No. 2 (2023)
Publisher : Program Studi Teknik Industri, Fakultas Sains dan Teknologi, Universitas Widya Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37631/jri.v5i2.944

Abstract

Salah satu bagian dari interaksi manusia dengan komputer yaitu mengevaluasi rancangan antarmuka. Penelitian ini difokuskan pada desain antarmuka sebuah website sekolah untuk dievaluasi menggunakan evaluasi heuristik mengenai kesesuaian dengan konsep kegunaan desain antarmuka (usability). SMA Negeri 5 Samarinda berusaha memanfaatkan teknologi dalam dunia pendidikan dengan memiliki website profil yang digunakan untuk keperluan sekolah. Berdasarkan observasi dan wawancara, pihak sekolah masih merasa tidak puas dengan User Interface dan User Experience dari website yang ada karena penamaan navigasi yang kurang baik dan beberapa hal yang masih belum memenuhi kebutuhan sekolah. Dalam penelitian ini, untuk memudahkan interaksi antara manusia dan komputer diperlukan sebuah metode penilaian yang bertujuan untuk memudahkan pengguna (usability). Maka dari itu dibutuhkan beberapa tenaga ahli yang paham dengan konsep usability untuk mengisi form heuristik dalam melakukan penilaian. Ketidak puasan pihak sekolah dengan User Interface dan User Experience dari website SMA Negeri 5 Samarinda terbukti dengan ditemukannya permasalahan melalui hasil evaluasi yang dilakukan. Ditemukan sebanyak 16 permasalahan oleh evaluator (expert). Pada website tersebut masih ditemukan beberapa bug atau error, design yang kurang jelas dan kurang konsisten. Hasil evaluasi dari penelitian ini diharapkan dapat dimanfaatkan oleh para pengembang situs web SMA Negeri 5 Samarinda untuk meningkatkan kualitas dan usability situs web sekolah yang sedang dipergunakan agar bisa sesuai dengan harapan sekolah dan mudah digunakan oleh pengguna.
Tuning Hyperparameter pada Gradient Boosting untuk Klasifikasi Soal Cerita Otomatis Umi Laili Yuhana; Ayu Purwarianti; Imamah Imamah
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 8, No 1 (2022): Volume 8 No 1
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v8i1.50506

Abstract

Soal adalah susunan pertanyaan yang dibuat untuk menguji keberhasilan dari pembelajaran siswa. Bagi manusia, membedakan soal penjumlahan dengan pengurangan sangat mudah, namun tidak halnya dengan mesin. Mesin  membutuhkan pembelajaran untuk mengenali soal cerita apakah termasuk penjumlahan atau pengurangan. Kebutuhan mesin untuk mengenali soal cerita biasanya diterapkan dalam pembuatan sistem E-learning. Berdasarkan dari masalah ini, maka digunakan metode gradient boosting untuk mengklasifikasikan soal cerita. Kelas target atau label dari klasifikasi terdiri dari empat kelas yaitu penjumlahan, pengurangan, perkalian, pembagian, dan campuran.  Soal cerita diambil dari buku matematika untuk kelas tiga sampai kelas enam Sekolah Dasar. Guru Sekolah Dasar (SD) melabeli soal cerita, dan dijadikan sebagai dataset untuk pembelajaran dari machine learning. Dataset kemudian di preprocessing, ekstraksi fitur dengan menggunakan TF-IDF dan selanjutnya dibagi menjadi data training dan data testing dengan menggunakan K-fold cross validation dengan nilai K[5,10,20]. Performa metode gradient boosting dalam mengklasifikasikan soal matematika diukur dengan menggunakan akurasi. Akurasi didapatkan dari hasil perbandingan dari label yang diprediksi oleh machine learning dengan label dari pakar yaitu guru SD. Berdasarkan hasil percobaan pada 500 data soal cerita, diperoleh hasil akurasi terbaik sebesar 75,8% pada saat K=20 dengan hyperparameter gradient boosting N_estimator=100, max_depth=9 dan learning rate=0,15.
Pelatihan Pemrograman Web Dasar untuk Siswa di SMA Negeri 1 Bojonegoro Sarwosri; Rochimah, Siti; Yuhana, Umi Laili; Siahaan, Daniel Oranova; Akbar, Rizky Januar
Sewagati Vol 8 No 1 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i1.548

Abstract

Perkembangan teknologi informasi saat ini merambah ke hampir seluruh bidang kehidupan manusia. Penyampaian informasi dapat disajikan dalam situs web. Pembuatan web menjadi kompetensi yang menjanjikan dalam dunia kerja. Pelajar SMA bisa mempelajari pembuatan web dengan belajar pemrograman web dasar. Alasan ini menjadi pemilihan topik pada pengabdian Masyarakat. Mitra yang dipilih adalah SMA Negeri 1 Bojonegoro. SMA ini dipilih karena ada guru yang sudah kenal. SMA Negeri 1 Bojonegoro merupakan sekolah menengah atas di Bojonegoro yang diharapkan dapat menghasilkan pelajar dengan pengetahuan dan kemampuan menyelesaikan tantangan pada dunia digital. Pengabdian kepada masyarakat ini, mengusulkan pelatihan dasar pemrograman web. Pelatihan dilakukan secara online dengan menggunakan Zoom Meeting. Pelatihan ini membuat situs web yang menarik dan interaktif menggunakan teknologi pemrograman seperti HTML, CSS, dan Tailwind CSS. Berdasarkan hasil survei yang telah diberikan kepada peserta pelatihan diperoleh total responden sebanyak 34 siswa dengan tingkat kepuasan terhadap pelatihan terhadap keseluruhan sesi yakni sebesar 70,6% merasa sangat puas dengan indikator berupa poin maksimal terbilang lima. Pemahaman peserta diukur dari hasil pengerjaan Latihan pada sesi pelatihan serta pengumpulan tugas setelah pelatihan. Sebanyak 80% peserta mengumpulkan tugas yang diberikan. Pengabdian ini berhasil dilakukan dan dapat menjadi bentuk kontribusi ITS terhadap perkembangan pendidikan di Indonesia.
Pelatihan Pengantar Logika dan Pemrograman Dasar untuk The Skills Indonesia dengan Gamifikasi Sarwosri; Rochimah, Siti; Yuhana, Umi Laili; Oranova, Daniel; Akbar, Rizky Januar
Sewagati Vol 8 No 2 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i2.819

Abstract

Era digital saat ini, mendorong setiap orang untuk memahami perkembangan teknologi informasi. Teknologi informasi yang cukup berkembang saat ini adalah Logika dan Pemrograman. Logika dan Pemrograman bisa dipelajari oleh segala jenis usia. Siswa siswi Sekolah Dasar (SD) juga bisa mempelajari logika dan pemrograman ini. The Skills Indonesia merupakan Lembaga Pendidikan yang berfokus pada akselerasi transformasi pendidikan abad-21 di Indonesia memfasilitasi siswa siswa untuk mempelajari Logika dan Pemrograman. Laboratorium Rekayasa Perangkat Lunak bekerja sama dengan Tim Skills Indonesia bermitra untuk mengadakan pelatihan Pengantar Logika dan Pemrograman. Jumlah peserta yang mengikuti pelatihan adalah 35 siswa. Siswa berasal dari kelas 4 s.d kelas 6 sekolah dasar. Pelatihan dilakukan secara daring dengan menggunakan aplikasi Zoom Meeting. Materi pelatihan yang diberikan meliputi logika dasar, penyelesaian masalah menggunakan logika, pemrograman dasar, implementasi logika dan pemrograman dasar dengan permainan Ozaria. Pengabdian ini berhasil dilakukan dan dapat menjadi bentuk kontribusi ITS terhadap perkembangan pendidikan di Indonesia.
Lost and Found: An Application to Search and Find Lost Items Romadhona, Yasinta; Sjahrunnisa, Anita; Yuhana, Umi Laili
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 10, No 3 (2023)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v10i3.566

Abstract

Carrying personal items is a must for everyone, especially to the campus area. It can cause people to lose things, and many lost or found items pile up without the owners. However, to communicate this information, only broadcasts were implemented through chain messages on social media which were considered less effective. Based on these problems, a website-based information system is proposed to assist in managing reports of lost and found items and transactions between finders and searchers of the items. This system has three main functions: inserting data on lost or found items, deleting items that have been returned to their owners, and making claims for items by exchanging messages to each user’s account. This system is built using PHP, HTML, CSS, JavaScript and is referred to the waterfall model. This information system can be accessed through a web browser on a device, so there is no need to install many applications because a browser is installed by default there. The purpose of this study is to measure the usability scale. This information system is expected to facilitate interaction for searchers and finders of the items and be a convenient alternative so that cases of lost items in the campus area can be handled effectively and efficiently. Evaluation of the system using the System Usability Scale (SUS) has a score of 77 which means it is acceptable or feasible.
Integrating Social Support into the TAM Framework: Effects on ‎E-Learning Usage and Acceptance Wighneswara, Alifiannisa Alyahasna; Yuhana, Umi Laili
Journal La Multiapp Vol. 5 No. 5 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i5.1505

Abstract

This research explores the role of social support in the context of the TAM model in relation to usage and acceptance of e-learning by high school learners as well as a technical usability assessment of e-learning environment. By employing cross sectional survey design and Partial Least Squares Structural Equation Modeling (PLS-SEM analytical technique, we explore the interconnection of social support with perceived usefulness, perceived ease of use, behavioral intention and actual usage. Specifically, the work finds that social support partially mediates students’ reception of e-learning from their perspective of perceived usefulness and its ease of use and that perceived usefulness is deeply seated in behavioral intention on the chosen platform. From the technical analysis, load testing, content delivery and security was examined to determine the effectiveness of the platform. An addition of a content delivery network streamlined page load time and minimized latency issues while on security the implementation of SSL and two factor authentication advanced the security of data. These are tangible technical enhancements accompanied by social support systems which increase the e-learning derived adoption as well as the retention ratios. The implications of the results put emphasis on both social and technical aspects in e-learning system that must be taken into consideration for educators and developers creating efficient and large-scale e-learning system.
Improving The UI/UX Quality Of The JasBi Application Using UEQ And UCD Talasari, Resky Ayu Dewi; Ilham, Karina Fitriwulandari; Yuhana, Umi Laili
PINISI Discretion Review Volume 7, Issue 2, March 2024
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/pdr.v7i2.54053

Abstract

This research was conducted to analyze and evaluate the User Interface (UI) and User Experience (UX) contained in the JasBi application using a User Experience Questionnaire (UEQ) and User Centered Design (UCD). At the first questionnaire distribution stage, JasBi application users were less satisfied with the existing UI. This research is a quantitative study using a survey method of those who use the JasBi application. Based on the design of solutions using the UCD method results in the following results: interest in the JasBi application UI is excellent (value 2.30), clarity in the JasBi application (averaged 1.98), efficiency in the JasBi application is excellent (value 2.30), simulation in the JasBi application is excellent (averaged 1.88), newness in the JasBi application (2.10).
Analyzing the Quality of Game-based Assessment Design in Basic Arithmetic Operations Azzmi. H., M. Naufal; Yuhana, Umi Laili; Sulistyani, Nawang; Husniah, Lailatul
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 1, February 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i1.1599

Abstract

The use of Serious Games in education has experienced rapid development. However, not all studies have been able to show evidence that game-based methods are superior to other methods. It is important to analyze the quality of game designs used in learning and assessment used to assess students. This study focuses on how to design a serious game called B-block used in the assessment. The researcher validates the quality of the serious game first before conducting a pilot study regarding the feasibility of the Serious Game given for assessment. The game focuses on basic arithmetic, including addition, subtraction, division, and multiplication, and involves positive and negative numbers. The study was conducted in one of the schools in Indonesia and given to 35 students with an age range of 11-12 years with different student backgrounds in their experience with game-based exams. Based on these results, 85.7% of respondents agreed that this game could be used as a substitute for paper-based exams, with the analysis of game design quality having an average value of 78% pedagogic specifications and 73% playful and 80% technical specifications. Thus, the average value of this game quality analysis is considered superior and meets almost all the specifications needed for assessment. We also argue that serious game is closely related to how game design meets specifications for use as educational tools.
Co-Authors Achmad Affandi Agung Prasetya Ahmad Budi Kurniawan Ahmad Nur Hidayat Akbar Noto Ponco Bimantoro Akbar, Rizky Januar Alfan, Muhammad Bahauddin Ali Sofyan Kholimi Amelia Devi Putri Ariyanto Amirullah, Afif Andhik Ampuh Yunanto Andi Besse Firdausiah Anisah Herdiyanti Apriyanto, I Nengah Putra Ariatama, Ilham Putra Arief Rahman Ary Mazharuddin Shiddiqi As'ad Arismadhani Ayu Purwarianti Azzmi. H., M. Naufal ‘Azizah, Lutfiyatul Badrudin, Arif Bambang Setiawan Buliali, Joko Lianto Chastine Fatichah Daniel Oranova Daniel Oranova Siahaan Daniel Siahaan Darlis Herumurti Denni Aldi Ramadhani Denni Aldi Ramadhani Denni Aldi Ramadhani Denni Aldi Ramadhani Diana Purwitasari Diana Purwitasari Donny Fitrado Dwi Sunaryono Dwi Sunaryono Eka Alifia Kusnanti Eko M. Yuniarno Eko Mulyanto Yuniarno Esti Yuniar Fadilla Sukma Alfiani Faizah Alkaff Fanji Hastomo Febri Fernanda Gultom, Rudy Agus Gemilang Habibi, Ahmad Faqih Hadziq Fabroyir Hanim Maria Astuti Hazna At Thooriqoh Hersyaputra, Mohamad Syazimmi Hervit Ananta Vidada Hidayat, Taufik I Gusti Lanang Agung Oka Cahyadi Pradipta Ilham, Karina Fitriwulandari Imam Kuswardayan Imamah Imamah Irnayanti Dwi Kusuma Jaya, Muhammad Triyanda Taruna Kadek Anggrian Mahendra Putra Kurniawan, Adi Lailatul Hidayah Lailatul Husniah Lauretha Devi Fajar Vantie Lesmideyarti, Dwi Mamluatul Hani’ah Mauridhi Hery Purnomo Muhamad Fauzi Muhammad Alfian Muhammad Alfian, Muhammad Muhammad Faisal Fanani Muhammad Najib Muhammad Zain Fawwaz Nuruddin Siswantoro Nawang Sulistyani Nisa, Maidina Choirun Nugroho, Supeno Mardi S. Nuralamsyah, Bintang Oranova, Daniel Puspitaningrum, Ari Cahaya Putu Yuwono Kusmawan Ratnasari, Fitria Dwi Rizal Setya Perdana Rizky Januar Akbar Rizqa Raaiqa Bintana Rully Agus Hendrawan Rully Soelaiman Sally Indah Khansa Sally Indah Khansa Santi Tiodora Sianturi Santoso, Bagus Jati Saptarini, Istiningdyah Sari Sahadi, Fitria Vera Sartana, Bruri Trya Sarwosri Sarwosri Sarwosri Sarwosri, - Setiawan, Wahyu Fajar Siska Arifiani Siti Rochimah Sjahrunnisa, Anita Sumantri, Siswo Hadi Supeno Mardi S. Nugroho Supeno Mardi Susiki Nugroho, Supeno Mardi Suyadi Suyadi Talasari, Resky Ayu Dewi Tiara Nur Annisa Toshihiro Kita Wighneswara, Alifiannisa Alyahasna Yasinta Romadhona Yogi Kurniaawan Yogi Kurniaawan, Yogi Yuniarno, Eko M.