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All Journal International Journal of Advances in Applied Sciences Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Pendidikan Teknologi dan Kejuruan APTEKINDO Jurnal Sains dan Teknologi Jurnal Teknologi Pembelajaran Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan CESS (Journal of Computer Engineering, System and Science) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Eksplora Informatika SINTECH (Science and Information Technology) Journal Jurnal RESISTOR (Rekayasa Sistem Komputer) WIDYA LAKSANA IJISTECH (International Journal Of Information System & Technology) Jurnal Teknologi Informasi dan Pendidikan JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) Jurnal Pendidikan Teknik Mesin Undiksha Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing Unri Conference Series: Community Engagement IJISTECH STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer
Luh Joni Erawati Dewi
Universitas Pendidikan Ganesha
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : SINTECH (Science and Information Technology) Journal

 1 
PENGEMBANGAN APLIKASI MOBILE SISTEM INFORMASI PRODUK PERTANIAN KABUPATEN BULELENG Luh Joni Erawati Dewi; Ketut Agus Seputra; I Nyoman Saputra Wahyu Wijaya
SINTECH (Science and Information Technology) Journal Vol. 5 No. 1 (2022): SINTECH Journal Edition April 2022
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v5i1.999

Abstract

The availability of accurate and up-to-date agricultural data is very much needed for agricultural development in Buleleng district. This data requirement can be facilitated by utilizing information and communication technology. The purpose of this research is to create a mobile-based Agricultural Product Information System (SIPROTANI) application. The SIPROTANI mobile application was developed following the agile software development model scrum. The data requirements for the system were obtained in collaboration with the Buleleng district agriculture office. Users of mobile-based SIPROTANI are Field Agricultural Extension (PPL) and administrators. Functions that have been developed in SIPROTANI are displaying and managing agricultural products in Buleleng Regency, managing farmer group data, managing farmer data, searching for agricultural product data, and displaying product reports. agriculture according to the criteria of product type, location, (range) harvest date. It is hoped that with this system, Buleleng Regency has accurate, up to date data related to agricultural products in Buleleng. In addition, this system can be used as a model for other districts in Bali and other regions in Indonesia. In the future, this system can be developed into e-commerce that connects farmers as producers and the community/stakeholders as consumers, so that the distribution chain of product marketing can be cut. Farmers will get a fair price for their products and consumers will get good quality products at a commensurate price.
Analisis Sentimen Berbasis Aspek Kinerja Polri Menggunakan SVM dengan Pendekatan POS Tagging Sanjaya, I Gede Ary Suta; Candiasa, I Made; Dewi, Luh Joni Erawati
SINTECH (Science and Information Technology) Journal Vol. 7 No. 2 (2024): SINTECH Journal Edition Agustus 2024
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v7i2.1568

Abstract

Beragam opini masyarakat terkait kinerja POLRI terus bermunculan pada media sosial Twitter. Analisis sentimen dilakukan untuk mengetahui kecenderungan sentimen opini masyarakat dan aspek kinerja yang dibahas pada opini tersebut. Penelitian ini bertujuan untuk mengetahui aspek kinerja yang dibahas pada data tweet dan sentimen data tweet berdasarkan aspek kinerja POLRI. POS Tagging digunakan sebagai klasifikasi aspek kinerja POLRI yang meliputi “penanganan kejahatan”, “kecepatan respon”, “interaksi terhadap masyarakat”, dan “tidak beraspek”, serta metode Support Vector Machine (SVM) sebagai proses klasifikasi sentimen “positif”, “negatif”, dan “netral”. Proses POS Tagging dilakukan menggunakan metode Conditional Random Field (CRF), melalui teknik Bio-Tags dengan melabelkan aspek kinerja berdasarkan koleksi kata yang mencerminkan klasifikasi aspek kinerja. Pemodelan klasifikasi sentimen berdasarkan aspek kinerja POLRI dibangun dengan metode SVM. Diperoleh 1103 tweet melalui API Twitter dalam kurun waktu Januari 2023 sampai Oktober 2023 sebagai dataset awal, yang dibagi menjadi 80% data training dan 20% data testing. Hasil penelitian menunjukkan model klasifikasi sentimen berbasis aspek kinerja menggunakan SVM dengan pendekatan POS Tagging memperoleh akurasi sebesar 81%, presisi sebesar 83%, recall sebesar 81%, dan F1-score sebesar 81%.Penggunaan metode klasifikasi machine learning lainnya, kontinuitas penggunaan data awal, dan pengembangan aspek yang dianalisis dapat menjadi saran untuk pengembangan penelitian kedepannya.
Co-Authors A. A. Gede Yudhi Paramartha Agus Gunawan Agus Seputra I Ketut Ahmad Asroni Ahmad Asroni, Ahmad Ariana, I Wayan Arunika, Ketut Biantara, I Gede Dody Okta Daniel Kevin Alexander Dewa Gede Hendra Divayana, Dewa Gede Hendra Dharmana, I Wayan Dwipayana, I Gusti Made Surya Dwipayana, Made Krisna Gede Arya Ardivan Pratama Saputra Gede Beny Indrawan Gede Indrawan Gede Rasben Dantes Handayani Putri, Dwi Prima I Gede Aris Gunadi I Gede Eka Artha Putra I Gede Krishna Adi I Gusti Andiani Octavia I Gusti Lanang Agung Andrayuga I Gusti Putu Yada Giri I Ketut Paramarta I Ketut Purnamawan I Ketut Purnamawan I Ketut Purnamawan I Ketut Resika Arthana I Made Agus Oka Gunawan I Made Candiasa I Made Gede Sunarya I Made Suryana Dwipa I Nyoman Pasek Nugraha I Nyoman Saputra Wahyu Wijaya Indrawan, Gede Beny Junaedi, Gede Tomi Kadek Rihendra Dantes Kadek Yota Ernanda Aryanto Kadir, Ach. Khalil Komang Setemen M.T. S.T. I Wayan Sutaya . Made Santo Gitakarma Meiliana, Komang Gita Ni Ketut Opayanti Ni Wayan Marti Nugraha, I Gede Pradipta Adi Nugraha, I Gusti Agung Satria Ony Andewi, Putu Pradiktha, Wisnu Dwijaya Pranata, Putu Ade PRIMAYUDI, IDA BAGUS KETUT KARISMA Putra, Gede Bakti Pratama Putra, I Gede Eka Artha Putra, I Nyoman Gede Ardi Yana Putri, Kadek Utari Darma Putu Ade Pranata Putu Gede Rizky Raditya Librawan Putu Haryaka Setadewa Putu Hendra Suputra Randi Wirdana, I Gede Richo, Rolando Alex Sanjaya, I Gede Ary Suta Saraswati, Desak Putu Mahadewi Sari, Gusti Ayu Gita Mulya Sariyasa . Sugiantari, Kadek Feny Tamayasa, Kadek Agus Wedatama, Made Restu Wisnu Dwijaya Pradiktha Yasa, I Kadek Purnama