Article Per Year (5 Year)
p-Index From 2019 - 2024
4.057
P-Index
This Author published in this journals
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 Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Teknologi dan Komputer ILTEK : Jurnal Teknologi Jurnal Pengabdian Sosial
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 Mechanical Engineering Nursing Public Health Social Sciences

Published : 25 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
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.
Rancang Bangun Alat Pengering Dan Pengupas Kulit Kacang Hijau Menggunakan Arduino Uno Dan Sensor Termocouple Nursuci Putri Husain; Junaedy Junaedy; Arwinsa Arwinsa; Munawar Soasiu
Journal of System and Computer Engineering (JSCE) 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.
Analisis Sentimen Ulasan Pengguna Tiktok pada Google Play Store Berbasis TF-IDF dan Support Vector Machine Nursuci Putri Husain; Sukirman Sukirman; SAJIAH SAJIAH
Journal of System and Computer Engineering (JSCE) 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.
Co-Authors Agus Zainal Arifin Ahmad Hanafie Arwinsa Arwinsa Chastine Fatichah Darlis Herumurti El Fazza, Fahri Hariati Kumkelo Herlinah B Herlinah B Herwinsyah Herwinsyah Ichwan K, Muh. Junaedy Junaedy M Akbar Mithahul Khairah Muh. Dzulkifli P Muh. Ichwan Kadir Munawar Soasiu Mutmainnah Mutmainnah Mutmainnah Mutmainnah Nursanti Novi Arisa Nurseno Bayu Aji Nurseno Bayu Aji, Nurseno Bayu Putri Nur Rahayu Ria Rahmi Putri Rikhzan Ainun Nur Riski Futriani Rosmiati Sajiah Sajiah Siti Eti Tridamayanti Siti Eti Tridarmayanti Sukirman Sukirman Sukirman Suradi Suradi Ulfa Nurhidayah