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All Journal Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Creative Information Technology Journal Jurnal Eksplora Informatika JURNAL REKAYASA TEKNOLOGI INFORMASI JMM (Jurnal Masyarakat Mandiri) Jurnal Sisfokom (Sistem Informasi dan Komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jurnal Bumigora Information Technology (BITe) Jurnal Teknimedia: Teknologi Informasi dan Multimedia Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Hasan, Nur Fitrianingsih
Universitas Muhammadiyah Papua
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Sentiment Analysis of Public Opinion Regarding Papuan Local Languages Condition Using Data Science Approach Hasan, Nur Fitrianingsih; Aisyah, Aisyah; Rahman, Rahman; Wonda, Herlin
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 2 (2022): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/digitalzone.v13i2.11545

Abstract

Regional languages ​​can support economic empowerment and improvement through the tourism sector. Opinions from people's expressions in social media and online news collections in reporting the condition of regional languages ​​often become headlines in cyberspace that number in the thousands, which can be used as new knowledge as a basis for making decisions through the mining method. This study aims to explore public opinion sentiment related to the condition of the Papuan language, sourced from text data in cyberspace using a data science approach, namely the classification method with text mining techniques using the naïve bayes algorithm. Public opinion sentiments are processed and the results are presented using word cloud visualization through 4 stages of data science, namely data collection, data preprocessing, modeling exploration and visualization analysis. The result of 778 opinions, 92% tend to have a positive sentiment. The analysis of public opinion sentiment is carried out by the naïve bayes algorithm which has an algorithm model accuracy of 78% and a precision of 88%. The machine learning model that was built and the word cloud visualization analysis succeeded in providing new insights regarding the condition of the Papuan language.
SISTEM KONTROL SUHU DAN KELEMBAPAN OTOMATIS PADA BUDIDAYA JAMUR TIRAM BERBASIS IOT UNTUK MENDUKUNG SMART FARMING SYSTEM Muhamad Maksum Hidayat; Nur Fitrianingsih Hasan; Intan Maya; Martalina Wakerwa
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 4 No. 2 (2023): Desember 2023
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v4i2.130

Abstract

The cultivation of mushrooms, particularly the oyster mushroom variety, is gaining increasing popularity within the agricultural sector in Indonesia. The success of oyster mushroom cultivation is highly dependent on environmental factors, notably temperature and humidity, which must be consistently maintained. In response to these challenges, this research is centered on the design and implementation of an IoT-based automated temperature and humidity control system aimed at supporting the concept of house smart farming. The system developed in this research consists of temperature and humidity sensors connected to an ESP32 microcontroller. Furthermore, this system is equipped with a user interface based on a mobile application accessible through Android devices. With this system in place, farmers can monitor the environmental conditions of their mushroom growth facilities in real-time and adjust temperature and humidity easily through the mobile application. The system's key strength lies in its capability to monitor environmental conditions in real-time, allowing farmers to conveniently observe temperature and humidity levels in their mushroom cultivation facilities remotely. Additionally, the system can autonomously adjust temperature and humidity through the mobile application. The research findings conclusively demonstrate that this system can maintain the required ideal temperature and humidity levels for successful oyster mushroom cultivation.
Implementasi Metode Simple Additive Weighting dalam Penentuan Kelayakan Mobil Hasan, Nur Fitrianingsih; Izzatillah, Millati; Marsiani, Ega Shela; Natsir, Fauzan
Semnas Ristek (Seminar Nasional Riset dan Inovasi Teknologi) Vol 9, No 1 (2025): SEMNAS RISTEK 2025
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/semnasristek.v9i1.7869

Abstract

Penentuan kelayakan mobil dalam sebuah rental menggunakan sistem penunjang keputusan dengan metode Simple Additive Weighting (SAW) bertujuan untuk memudahkan dan mengakurasi hasil kelayakan mobil. Mobil yang digunakan oleh customer adalah mobil yang lulus uji kelayakan. Sedangkan yang tidak lulus uji kelayakan standarisasi perusahaan akan diproses untuk perbaikan. Pengembangan perangkat lunak menggunakan metode waterfall dengan implementasi menggunakan Bahasa pemrograman java berbasis desktop. Sebuah perangkat lunak yang dibangun lunak berhasil mengimplementasikan metode SAW untuk menentukan kelayakan sebuah mobil dengan objektif. Sehingga dapat dipastikan mobil yang dipakai oleh customer adalah monil yang lulus uji dan aman digunakan.
Peramalan Jumlah Penjualan Menggunakan Jaringan Syaraf Tiruan Backpropagation Pada Perusahaan Air Minum Dalam Kemasan Nur Fitrianingsih Hasan; Kusrini Kusrini; Hanif Al Fatta
Jurnal Teknik Informatika dan Sistem Informasi Vol 5 No 2 (2019): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v5i2.1607

Abstract

The inhibition of the production and distribution of bottled water has become a serious problem in the survival of the community and the company, so there is a need for a solution to this problem both short-term and long-term solutions. One of the things that can be done by the company or management is that the right amount of production and distribution is by forecasting sales. Sales forecasting is the process of predicting which products will be sold in the future made based on data that has ever happened. This paper aims to determine the level of accuracy of the use of Backpropagation ANN in estimating the sales of bottled water.The ANN architecture used is 12-10-1 with the MSE value of 0,00043743 and the MAPE value of 6.88%. Forecasting sales results of Robong Holo 600ml brand using Backpropagation ANN for 2019 is 2271 pcs in January, 2019 pcs in February, 1358 pcs in March, 917 pcs in April, 462 pcs in May, 324 pcs in June, 739 pcs in July, 370 pcs in August, 367 pcs in September, 1073 pcs in October, 765 pcs in November and 1388 pcs in December. Keywords— AMDK,Backpropagation,Jaringan Syaraf Tiruan,Penjualan,Peramalan
Co-Authors Aisyah Aisyah Akrilvalerat D W ARDIANSYAH ARDIANSYAH Christin Nandari Dengen Christin Nandari Dengen Dony Ariyus Dwinda Etika Profesi Fauzan Natsir Hanif Al Fatta HANIF AL FATTA Hanif Al Fatta Intan Maya Irfan Purwanto Joni Saputra Julia Kurniasih Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini, Kusrini Lukmanul Hakim Lukmanul Hakim M. Afriansyah marsiani, ega shela Martalina Wakerwa Millati Izzatillah Muhamad Maksum Hidayat Muhammad Salis Amin Iribaram Rahman Rahman Rifqi Hammad Rifqi Hammad Rizky Nurbarokah Tarmino Semi Giyai Vera Wati Wonda, Herlin Yasinta Bella Fitriana Yasinta Bella Fitriana