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All Journal JURNAL SISTEM INFORMASI BISNIS Jupiter Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JRST (Jurnal Riset Sains dan Teknologi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) JURTEKSI Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal Teknologi Dan Sistem Informasi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Teknik Informatika (JUTIF) Jurnal Pengabdian Masyarakat Indonesia Jurnal Ilmiah Wahana Pendidikan Jurnal PkM (Pengabdian kepada Masyarakat) Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan IJCOSIN : Indonesian Journal of Community Service and Innovation Jurnal Tren Bisnis Global Jurnal INFOTEL Jurnal Informatika: Jurnal Pengembangan IT JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Edu Komputika Journal JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
M Yoka Fathoni
Intitut Teknologi Telkom Purwokerto
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Journal : Jupiter

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Forecasting Penjualan Gas LPG di Toko Sembako Menggunakan Metode Fuzzy Time Series M Yoka Fathoni; Sena Wijayanto
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 13 No 2 (2021): JUPITER Edisi Oktober 2021
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/3541.jupiter.2021.10

Abstract

Abstract This study discusses the forecasting of 3 kg LPG gas sales at the Carica House Grocery Store. This shop as one of the LPG gas agents in the Kaliwiro area who sells 3 kg LPG Gas either retail or reseller, the number of requests for LPG gas in stores is very high , thus causing the sale of LPG gas in the shop is always uncontrolled between incoming goods and outgoing goods. Therefore, it is necessary to forecast sales. Sales forecasting has the meaning as an activity to predict product sales by using previous data as a reference in making decisions. The development of this forecasting model aims to get better forecasting results, especially regarding the accuracy of forecasting results. The Fuzzy Time Series method is used to predict the demand for 3 kg gas cylinders for the next month based on the pattern from the previous data. In data forecasting using this method, there are two forecasting techniques, namely qualitative analysis and quantitative analysis. Then for the calculation of the error value from the forecasting results, this study using MAPE produces an error value of 0,3% because it states the percentage of error results more accurately.
Pengelompokkan Produktivitas Tanaman Padi di Jawa Tengah Menggunakan Metode Clustering K-Means Sena Wijayanto; M. Yoka Fathoni
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 13 No 2 (2021): JUPITER Edisi Oktober 2021
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/3918.jupiter.2021.10

Abstract

Padi merupakan salah satu sumber makanan pokok yang dikonsumsi masyarakat Indonesia. Namun kebutuhan beras masyarakat yang semakin meningkat tidak diimbangi dengan pertumbuhan area pertanian. Luas panen kota/kabupaten di provinsi Jawa Tengah di tahun 2020 mengalami penurunan dibandingkan tahun sebelumnya. Selain itu produksi padi juga mengalami penurunan. Oleh karena itu provinsi Jawa Tengah perlu mengelompokkan kota/kabupaten penghasil padi untuk mengetahui daerah yang memiliki potensi dalam memproduksi padi. Metode yang dapat digunakan dalam mengelompokkan kota/kabupaten penghasil padi adalah clustering. Clustering dapat mengelompokkan data tersebut berdasarkan kesamaan jenis data ke dalam cluster. Pada penelitian ini dilakukan pengelompokkan kota/kabupaten penghasil padi di Jawa Tengah dengan metode clustering. Clustering yang digunakan adalah dengan menggunakan algoritma K-Means. Hasil yang didapatkan dari metode ini yaitu 3 cluster antara lain C0 menggambarkan daerah yang hasil produktivitas padinya sedang terdiri dari 12 daerah. C1 menggambarkan daerah yang hasil produktivitas padinya rendah terdiri dari 18 daerah. Serta C2 menggambarkan daerah yang hasil produktivitas padinya tinggi terdiri dari 12 daerah.
Analisis Sentimen Pengguna Terhadap Smart Ring Pada Data Twitter Menggunakan Naive Bayes Fauzi, Faiq; Ali, Nizar; Azzahra, Anisa; Fathoni, M Yoka
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 17 No 1 (2025): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

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

Abstract

Smart ring is a ring-shaped wearable device equipped with advanced technology to monitor user activities. Smart ring technology can be used by analyzing user sentiment, a wearable device that is increasingly popular but still faces various challenges of public acceptance. This research is to find out the opinions of users on social media, especially Twitter, and how these sentiments affect consumers' views and purchase intentions. Data was collected by crawling techniques using Google Colab and tweet-harvest tools, after which it was analyzed using the Naive Bayes algorithm to classify sentiment into positive and negative. The results showed that of the 580 tweets collected, there were 147 positive sentiments and 63 negative sentiments after duplicate removal, with an accuracy of 76.19%. This research can help smart ring manufacturers develop products that are more in line with user needs.
Co-Authors 12.5202.0161 Daniel Yeri Kristiyanto Adanti Wido Paramadini Ade Tiara Rosalinda Alfarisi, Gitasari Kurnia Ali, Nizar Alika, Shintia Dwi Anggraeni, Selly Apriliana Puspitaningrum Ardi Susanto Ardi Susanto Arif Riyandi Aruga Yudish Firmansyah Ayu Kusumaningtyas Ayu Nirwana, Zahra Fikri Azzahra, Anisa Cahyo Prihantoro Dairoh Dairoh Dandi Sunardi Dany Candra Febrianto Darmansah Darmansah, Darmansah Dasril Aldo Dea Caesy Rahmadani Dedy Agung Prabowo Dega Surono Wibowo Dega Surono Wibowo, Dega Surono Dwi Januarita Dwi Januarita Dwi Mustika Kusumawardani, Dwi Mustika Fadhilah, Syifa Nur Fajriyah, Nindi Ilmiyati Farkhan Hariyadi Berbudi Bowoleksono Fauzi, Faiq Firmansyah, Aruga Yudish Firmansyah, Muhammad Raafi'u Friliyani, Radiyana Aniq Garin Indra Prameswara Hutanti Setyodewi Ike Kurnia Putri Irwan Susanto Jihan Shinta Celina Kusuma Ningrum, Linda Ayu Lina Fatimah Lishobrina Logiandani Logiandani M Nishom M Nishom Mahazam Afrad Maulida, Elsa Miftahul Jannah Monsya Juansen Muhamad Albirra Arsyi Rizqi Muhamad Awiet Wiedanto Prasetyo Muhammad Fikri Hidayattullah Muhammad Imanullah Nabila Azahra Naufal Ibrahim Nevandra Putra Andyka Ni Wayan Wardani Nicolaus Euclides Wahyu Nugroho Nindi Ilmiyati Fajriyah Nishom, M Nunik Oktaviani Olivia Sari Purba, Yessi Pahrizal, Pahrizal Pero Roberto Kristovic Radiyana Aniq Friliyani Rahmadani, Dea Caesy Raihan Zidane Ramadhan Ramadhan, Firman Adi Ramadhani S, Bunga Rona Nisa Sofia Amriza Safhira Nanda Rahmadhani Salsabila Cahya Alifia Sandhy Fernandes Sandhy Fernandez Sayyidah Jasinda Amalia Selly Anggraeni Sena Wijayanto Setyodewi, RR Hutanti Sisilia Thya Safitri Siti Khomsah, Siti Sudianto Sukmadiningtyas Sulaeman, Gilang Syabrian, Izma Syifa Nur Fadhilah Tegar Wahyudi Adha Tomy Nanda Putra Toni Anwar Toni Anwar Toyib, Rozali Waliulu, Raditya Faisal Wiedanto, Muhammad Awiet Yedija Maarende, Tigris Yogo Dwi Prasetyo Yogo Dwi Prasetyo Yohani Setiya Rafika Nur Yulia Darmi Yustia Hapsari Zahra Fikri Ayu Nirwana