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All Journal JIMAT (Jurnal Ilmiah Mahasiswa Akuntansi) Undiksha Ekuitas: Jurnal Pendidikan Ekonomi Jurnal Ecodemica : Jurnal Ekonomi Manajemen dan Bisnis JUTIK : Jurnal Teknologi Informasi dan Komputer JOURNAL OF APPLIED INFORMATICS AND COMPUTING ANALISIS - SCIENTIFIC JOURNAL OF ECONOMICS, MANAGEMENT, BUSINESS, AND ACCOUNTING Indonesian Journal of Data and Science JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) INSERT: Information System and Emerging Technology Journal JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal Puan Indonesia Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Manajemen dan Teknologi Informasi Journal of Artificial Intelligence and Digital Business Journal of Software Engineering and Information System (SEIS) Jurnal Pengabdian Kepada Masyarakat SEWAGATI Journal of Social Work and Empowerment Jurnal Inovasi Global Ekuitas Jurnal Pnedidikan Ekonomi E-JURNAL AKUNTANSI
Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa
Institut Bisnis Dan Teknologi Indonesia
Agriculture, Biological Sciences & Forestry Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Other

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Sistem Informasi Laporan Keuangan pada Salon Berbasis Website Dengan Metode SDLC Desmayani, Ni Made Mila Rosa; Wardani, Ni Wayan; Nugraha, Putu Gede Surya Cipta; Mahendra, Gede Surya
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 4 No 2 (2021): December
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.118

Abstract

Jimmy Salon merupakan salah satu bisnis yang bergerak di bidang jasa tata rias rambut. Jimmy salon beroperasi sudah hampir 37 tahun. Jimmy salon berdiri pada tahun 1983 didirikan oleh Bapak Jimmy Waworuntu. Jimmy Salon terletak di Kompleks Pertokoan Nakula Plaza blok B-3 Jalan Nakula, Kecamatan Kuta, Kabupaten Badung, Provinsi Bali. Pelaporan keuangan di Jimmy Salon sudah terkomputerisasi namun masih menggunakan perangkat lunak microsoft excel sehingga untuk membuat laporan keuangan memakan waktu cukup lama dan laporan keuangan yang dihasilkan belum mampu menghasilkan laporan yang optimal. Tujuan dibangunnya sistem ini adalah untuk membantu administrator dalam menghasilkan laporan keuangan. Metode penelitian yang digunakan adalah metode SDLC. Metode pengujian yang digunakan adalah black box testing. Hasil dari sistem yang telah dibangun yaitu sistem telah berhasil dibuat berdasarkan kebutuhan usaha. Sistem berhasil memberikan laporan arus kas, laporan neraca, laporan laba rugi, dan laporan perubahan modal.
Public Sentiment Analysis of the Free Nutritious Meals Program (MBG) on Social Media X Using the Naive Bayes Method Aprianti, Ni Nyoman; Desmayani, Ni Made Mila Rosa; Libraeni, Luh Gede Bevi; Indrawan, I Gusti Agung; Radhitya, Made Leo
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11420

Abstract

This study aims to analyze public sentiment towards the Free Nutritious Meals Program (MBG) launched by the government, utilizing data from the X (Twitter) platform using the Naïve Bayes method. The background of this study is based on the high level of public attention towards the MBG program, which targets school children, toddlers, pregnant women, and nursing mothers, as well as the prevalence of diverse opinions on social media. Data was collected through a crawling process during the period of April 28 to May 28, 2025, using keywords related to MBG, resulting in 12,310 tweets. The data processing stages included text preprocessing (cleansing, case folding, tokenizing, filtering, stemming), word weighting with TF-IDF, training and test data division, and testing using a confusion matrix. The results show that the Naïve Bayes method is capable of classifying sentiment into three categories: positive, negative, and neutral, with optimal performance on an 80:20 data split, resulting in an accuracy of 86.78%, precision of 86.86%, recall of 86.78%, and an F1-score of 86.58%. The majority of public sentiment towards the MBG program was positive, reflecting support for the program's benefits in improving the nutrition of school children and alleviating the economic burden on families. This study is expected to serve as a reference for the government in evaluating public policy and communication strategies, as well as contributing academically to the development of text mining and sentiment analysis studies on social media.
Sentiment Analysis of BRImo Reviews on Google Play Store Using SVM and KNN Olivia Sutriani Jelni; Made Leo Radhitya; Gede Wirya Wardhana; Ni Wayan Jeri Kusuma; Ni Made Mila Rosa Desmayani
Indonesian Journal of Data and Science Vol. 6 No. 3 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i3.365

Abstract

The rapid growth of digital banking has increased user interaction through mobile banking apps such as BRImo (Bank Rakyat Indonesia). Google Play Store reviews provide valuable insight into app quality, but their unstructured format makes manual analysis inefficient. This study analyzes user sentiment toward BRImo and compares the performance of Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) for sentiment classification. Reviews were collected using Google Play Scraper from May 2024 to May 2025, yielding 15,945 raw reviews. After cleaning (removing duplicates, symbols, links, emojis) and language filtering, 15,233 valid reviews remained. Sentiment labels were generated using two lexicon-based methods: INSET and VADER. Using INSET, the data consisted of 6,238 positive, 4,987 negative, and 4,383 neutral reviews, producing 11,225 reviews for modeling. Using VADER, 10,496 positive, 2,903 negative, and 1,834 neutral reviews were obtained, totaling 13,399 reviews. Datasets were split into 80% training and 20% testing with stratified sampling. Features were extracted using TF-IDF unigrams. Classification was performed using linear SVM and KNN, with the optimal K=3 selected via Grid Search. Models were evaluated using 5-fold cross-validation, reporting mean accuracy, precision, recall, and F1-score (macro-average for INSET; weighted-average for VADER due to class imbalance). Results show SVM consistently outperforms KNN, achieving 98.36% mean accuracy and 98.34% mean F1-score on INSET, and 95.59% mean accuracy and 95.56% mean F1-score on VADER. Overall, BRImo user sentiment is predominantly positive, and findings can guide developers in improving app stability and quality
Perilaku Investor Ritel dalam Pengambilan Keputusan Investasi di Indonesia: Kajian Literatur Terstruktur (SLR) Gede Rudiharta Pratama Giri; I Nyoman Artika; Eko Maisusanto; Ni Made Astini Rahayu; Ni Made Mila Rosa Desmayani
Jurnal Inovasi Global Vol. 3 No. 6 (2025): Jurnal Inovasi Global
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jig.v3i6.354

Abstract

Fenomena pertumbuhan investasi di Indonesia menunjukkan peningkatan signifikan, terutama dengan kemudahan akses ke pasar modal melalui platform digital. Kondisi ini telah mendorong peningkatan partisipasi investor ritel secara aktif. Namun, pengambilan keputusan investasi oleh investor ritel cenderung tidak sepenuhnya rasional dan dipengaruhi oleh berbagai faktor internal maupun eksternal, sehingga berdampak pada hasil investasi mereka. Oleh karena itu, penting untuk memahami bagaimana faktor-faktor berinteraksi dan memengaruhi keputusan investasi yang diambil oleh investor ritel di Indonesia. Penelitian ini bertujuan untuk mengkaji secara terstruktur literatur yang membahas perilaku investor ritel dalam pengambilan keputusan investasi di Indonesia. Untuk penelitian ini, digunakan metode tinjauan pustaka sistematis, dengan Google Scholar menjadi salah satu sumber data utamanya. Pemilihan literatur dilakukan berdasarkan kriteria inklusi yang sudah ditetapkan, kemudian dianalisis dengan pendekatan tematik guna mengidentifikasi pokok-pokok bahasan penting. Hasil kajian menunjukkan bahwa keputusan investasi investor ritel sangat dipengaruhi oleh kombinasi faktor psikologis, sosial, dan dinamika pasar. Faktor seperti reputasi, sinyal personal, sentimen pasar, serta kebutuhan finansial pribadi terbukti memengaruhi perilaku investasi, di samping pertimbangan rasional seperti informasi fundamental dan analisis pasar. Selain itu, karakteristik individu seperti tingkat pengalaman, kemampuan mengelola emosi, dan nilai-nilai keagamaan juga berperan penting, termasuk dalam konteks investasi pada instrumen berbasis syariah.
MEMBANGUN GENERASI YANG CERDAS DAN MANDIRI DALAM MENGELOLA UANG Ni Made Mila Rosa Desmayani; Luh Gede Bevi Libraeni; Ni Putu Eka Kherismawati; Kadek Nonik Erawati; Ida Bagus Putu Meisa Pratama Putra
PUAN INDONESIA Vol. 8 No. 1 (2026): Jurnal PUAN Indonesia Vol. 8 No. 1 Juli 2026
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v8i1.518

Abstract

This community service program addressed the low level of financial literacy among adolescents at Posyandu Remaja Pejeng Kawan, Gianyar. Limited understanding of money management, inability to distinguish needs from wants, lack of saving habits, and absence of simple financial records indicated an urgent need for structured financial education. Strengthening financial literacy at an early age is essential to prevent consumptive behavior and to foster responsible financial attitudes in adulthood. The program was implemented through systematic stages, including observation, problem identification, training, evaluation, and reporting. A participatory approach was applied using interactive discussions, case examples, simple financial recording simulations, and a seven-day saving challenge. Evaluation was conducted qualitatively through observation of participation, reflective discussions, and assessment of participants’ ability to explain and practice the concepts learned. The results indicate improved understanding of money functions, clearer differentiation between needs and wants, increased awareness of saving, and initial practice of recording daily expenses. The program also strengthened the role of the youth health post as a life-skills development platform. Overall, the activity demonstrates that participatory financial education effectively enhances adolescents’ financial awareness and supports the formation of responsible financial behavior.
Co-Authors Anak Agung Danendra Priya Kayana Aniek Suryanti Kusuma Aprianti, Ni Nyoman Aristamy, I Gusti Ayu Agung Mas Aristana, I Dewa Gede Aristana, Made Dona Wahyu Atmaja, Ketut Jaya Bevi Libraeni, Luh Gede Desak Dwi Utami Putra Devi Valentino Waas Dewa Ayu Giovany Angga Indrya Dewi, Desak Putu Eka Komala Diah Juniari Arnidya Eddy Hartono Eddy Hartono Gede Rudiharta Pratama Giri Gede Rudiharta Pratama Giri Gede Surya Mahendra Gede Wirya Wardhana I Dewa Gede Aristana I Dewa Putu Gede Wiyata Putra I Gusti Agung Indrawan I Kadek Adiana Putra I Kadek Krisna Dwipayana Putra I Kadek Wira Dharma Prayana I Made Sadha Suardhika I Nyoman Agus Suarya Putra I Nyoman Artika I Nyoman Artika I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Yoga Indrawan I Wayan Dharma Suryawan Ida Bagus Putu Meisa Pratama Putra Indrayuni, Ni Komang Purnama Kadek Nonik Erawati Kompiang Martina Dinata Putri Libraeni, Luh Gede Bevi Luh Gede Bevi Libraeni Luh Gede Bevi Libraeni Luh Gede Diah Ary Pradnyaswari Luh Putu Rara Ayu Ratnaningrum Maisusanto, Eko Mulyawan, I Putu Arya Murpratiwi, Santi Ika Ni Kadek Ariasih, Ni Kadek Ni Kadek Ayu Nirwana Ni Made Astini Rahayu Ni Made Astini Rahayu Ni Putu Eka Kherismawati Ni Putu Widantari Suandana Ni Wayan Anggita Dara Pratiwi Ni Wayan Anggita Dara Pratiwi Ni Wayan Jeri Kusuma Ni Wayan Wardani Ni Wayan Wardani Ni Wayan Wardani Wardani Nirwana, Ni Kadek Ayu Nugraha, Putu Gede Surya Olivia Sutriani Jelni Parwathi, Ni Luh Gede Putri Desta Pramawati, I.D.A Tantri Pratiwi, Ni Wayan Anggita Dara Prayana, I Kadek Wira Dharma Purnama, Ni Kadek Liryana Putra, I Gede Ardi Sukaryadi Putra, Putu Satria Udyana Putu Gede Surya Cipta Nugraha Putu Gede Surya Cipta Nugraha Radhitya, Made Leo Rahayu, Ni Made Astini Sandhisutra , Ida Bagus Ketut Sandhisutra, Ida Bagus Ketut Sandhiyasa, I Made Subrata Sandika, I Kadek Budi Sutarwiyasa, I Ketut Utama, I Made Putra Wardani, Ni Wayan Widiartha, Komang Kurniawan Wiguna, I Made Surya Willdahlia, Ayu Gede Willdahlia, Ayu Gede Winatha, Komang Redy Wiyata Putra, I Dewa Putu Gede Yuliandari, Ni Kadek