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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Specta Journal of Technology Scientific Journal of Informatics ILTEK : Jurnal Teknologi Journal of System and Computer Engineering Jurnal Pengabdian Masyarakat Abdimas Madani Patria Artha Journal of Community Bulletin of Information Technology (BIT) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Teknologi dan Komputer ILTEK : Jurnal Teknologi Jurnal Pengabdian Sosial JIKTIF
Nursuci Putri Husain
Universitas Islam Makassar
Religion Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Nursing Public Health Social Sciences

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Journal : Journal of System and Computer Engineering

 1 
Aplikasi Pendeteksi Dini Kanker Serviks Berbasis Android Herlinah B; Nursuci Putri Husain
Journal of System and Computer Engineering (JSCE) Vol 4 No 1 (2023): JSCE: Januari 2023
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/jsce.v4i1.684

Abstract

Cervical cancer is the growth of a group of abnormal cells in the cervix (mouth of the womb). The lack of knowledge in diagnosing women against cervical cancer is around 60% - 77%. Lack of diagnostic knowledge about cervical cancer symptoms so that many women do not know the symptoms of cervical cancer and have two possibilities whether it is cervical cancer symptoms or symptoms of other diseases. The purpose of the study was to design an Android-based cervical cancer early detection application to monitor cervical cancer early in helping women diagnose independently. The R&D (Research and Development) research method functions to generate, develop and test the effectiveness of the product (an android-based cervical cancer early detection application) and the forward chaining method functions in making decisions based on the facts that are inputted so as to produce conclusions. home menu, diagnoses, diagnostic results and profiles, starting with the user clicking the diagnosis menu in selecting the symptoms he is experiencing, then the user clicking the diagnostic results menu to see the results of the symptoms that have been diagnosed and have 4 criteria, namely cervical cancer stage 1, cervical cancer stage 2, cervical cancer stage 3 and cervical cancer stage 4. The conclusion of the application where the functional input and output runs well in accordance with the basic concepts that have been made and can be implemented.
Analisis Sentimen Ulasan Pengguna Tiktok pada Google Play Store Berbasis TF-IDF dan Support Vector Machine Husain, Nursuci Putri; Sukirman, Sukirman; SAJIAH, SAJIAH
Journal of System and Computer Engineering Vol 5 No 1 (2024): JSCE: Januari 2024
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v5i1.1105

Abstract

The rapid development of information and communication technology, particularly in social media platforms, has created an environment where users actively share their experiences and opinions related to various services and applications. One platform that has gained significant popularity is TikTok, a video-sharing application that has become a global phenomenon. With the increasing number of TikTok users, user reviews on distribution platforms such as the Google Play Store have become a crucial source of information. Sentiment analysis of these reviews can provide deep insights into how users respond to the application, while also offering valuable feedback for developers. The research aims to conduct sentiment analysis of TikTok user reviews on the Google Play Store using the Term Frequency-Inverse Document Frequency (TF-IDF) weighting method and the Support Vector Machine (SVM) algorithm as a classification method to achieve optimal results. There are three main stages: the initial stage involves data collection and data pre-processing, followed by the pattern recognition stage, which includes TF-IDF weighting and SVM classification. The final stage consists of evaluation and analysis. The opinion classification obtained includes three categories: positive, negative, and neutral. Based on the evaluation results, the proposed method successfully achieved high accuracy for the 70-30% training-testing split, reaching 84%. The conclusion drawn from these evaluation results indicates that the proposed method can be utilized in the sentiment analysis process of TikTok user reviews.
Perancangan Aplikasi Kepuasan Mahasiswa Terhadap Dosen Fakultas Teknik Universitas Islam Makassar Menggunakan Metode Simple Additive Weighting Husain, Nursuci Putri; Baco, Syarifuddin
Journal of System and Computer Engineering Vol 5 No 2 (2024): JSCE: Juli 2024
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v5i2.1211

Abstract

Faculty of Engineering UIM is one of the faculties at private universities in Makassar City. Currently, measuring student satisfaction with lecturers by filling out questionnaires through google forms. Disadvantages in filling out google forms because you can use gmail freely so that data manipulation can occur. So that a web application is created that facilitates student access and participation in providing assessments of lecturer performance. The purpose of the study was to design a web-based student satisfaction application for lecturers to increase student participation and produce more representative assessments. Waterfall research method as an application development method from the needs analysis, design, implementation, testing and maintenance phases while the Simple Additive Weighting method functions in the decision-making process. The results of application research where students log in to enter the dashboard page that displays a list of lecturers. On the lecturer list page there is a list of questions in assessing lecturer performance while on the admin page there is a menu that displays the results of the SAW calculation with a scale of 20 - 100 information is not good, not good, good enough, good and very good. Conclusion The application is able to provide solutions in mapping, understanding and assessing student satisfaction performance with lecturers in improving the quality of learning with a user-friendly interface. Keywords : Satisfaction, Simple Additive Weighting, Website
Automated Medical Image Processing for Lung Pneumonia Diagnosis Based on LS-SVM Husain, Nursuci Putri; Arfandy, Hamdan; Ramli, Ryan Midzar Wiradinata
Journal of System and Computer Engineering Vol 6 No 1 (2025): JSCE: January 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i1.1597

Abstract

Pneumonia is an inflammation of the lungs that causes pain when breathing and limits oxygen intake. Pneumonia can be caused by bacteria, viruses, and fungi. Image processing, a branch of informatics or computer science, is a field highly related to the manipulation and analysis of digital images. This study aims to design a medical image processing system as an alternative to support the diagnosis of Pneumonia in the lungs using the LS-SVM method. LS-SVM (Least Square Support Vector Machine) is a simpler and modified model of the SVM method. HoG (Histogram of Gradient) is a commonly used feature extraction method in image processing and object detection. The objective of this study is to improve the quality of healthcare services and assist in faster and more accurate clinical decision-making. The results show that lung image analysis using the LS-SVM method has a good accuracy level in the image classification process, with 2000 training data inputs processed in the preprocessing stage, consisting of 1000 Pneumonia images and 1000 normal lung images, while the testing data used consisted of 500 images, with 250 Pneumonia images and 250 normal lung images. Based on the tested data, the system achieved an accuracy of 81% for 1300 tests, proving that the LS-SVM method is effective in image processing with satisfactory results.
Rancang Bangun Alat Pengering Dan Pengupas Kulit Kacang Hijau Menggunakan Arduino Uno Dan Sensor Termocouple Husain, Nursuci Putri; Junaedy, Junaedy; Arwinsa, Arwinsa; Soasiu, Munawar
Journal of System and Computer Engineering Vol 4 No 2 (2023): JSCE: Juli 2023
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v4i2.836

Abstract

Tanaman kacang hijau adalah sejenis tanaman budidaya dan palawija. Kacang hijau awalnya berasal dari india dan menyebar keberbagai negara asia tropis termasuk di indonesia, kacang hijau dikenal luas didaerah Tropika dan tumbuhan kacang hijau termasuk suku polongan (Fabaceae) ini memiliki manfaat dalam kehidupan sehari-hari sebagai sumber bahan pangan berprotein nabati tinggi. Budidaya kacang hijau biasa mengalami kendala pada proses pengeringan dan pengupasan kulit kacang hijau. Kacang hijau memiliki kadar air yang tinggi, sehingga membutuhkan waktu yang cukup lama untuk mengeringkannya. Kulit kacang hijau cukup keras sehingga proses pengupasan bisa menjadi sulit dan memakan waktu. Penelitian ini bertujuan untuk membuat alat pengering dan pengupas kulit kacang hijau otomatis menggunakan arduino uno agar memudahkan para petani untuk mengelola hasil pasca panen tanaman kacang hijau. Metode penelitian yang digunakan pada penelitian ini adalah R&D(Research and Development). R&D adalah proses atau langkah pengembangan produk baru atau meningkatkan produk yang sudah ada. Alat pengering dan pengupas kulit kacang hijau otomatis menggunakan arduino uno dimana dimulai dengan adaptor sebagai tempat masuknya arus listrik. Mikrokontroler pada penelitian ini adalah Arduino Uno. Dari hasil pengujian di dapatkan kesimpulan semua komponen aktif sesuai dengan fungsinya dan alat ini berhasil mengeringkan dan mengupas kulit kacang hijau dengan baik.
Co-Authors Agus Zainal Arifin Ahmad Hanafie Ainun Nur, Rikhzan Akhsa, Amaliah Chintami Darti Akmal, Maisyal Arwinsa, Arwinsa Atsari Hardiman, Ashriyanto Baco, Syarifudddin Burhanuddin, Nur Isnayanti Chastine Fatichah Darlis Herumurti Dedi Susanto El Fazza, Fahri Faridah Faridah Fitri, Rahmadhany Futriani, Riski H. Halim, Nur Indah Sari Hamdan Arfandy Hanafie, Ahmad Hariati Kumkelo Herlinah B Herlinah B Herwinsyah Ichwan K, Muh Ichwan K, Muh. Jainab, Zul efendi Junaedy Junaedy M Akbar Mardawiah MARIAM Martani, Ahmad Mirnawaty Sultan, Dian Mithahul Khairah Muh. Dzulkifli P Muh. Ichwan Kadir Musrawati Mutmainnah Mutmainnah Mutmainnah Mutmainnah Nurhidayah, Ulfa Nursanti Novi Arisa Nurseno Bayu Aji Nurseno Bayu Aji, Nurseno Bayu Putri Nur Rahayu Ramli, Ryan Midzar Wiradinata Rantau Jati, Tanto Dwi Ratu, Ratu Ameliah Ria Rahmi Putri Rosmiati Sajiah, Sajiah Sandre, Revas Siti Eti Tridamayanti Soasiu, Munawar Suharni Sukirman Sukirman Sukirman Suradi Suradi Suradi Suradi Syarifuddin Baco Syarifuddin Baco Tridarmayanti, Siti Eti Tukmuly, Asyuni