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Dental Implant sebagai Stabilisasi Gigi Tiruan Lengkap Rahang Bawah: Laporan Kasus
Hasudungan, Dian Samuel
; Ramaniasari, Sheryn Marcha
; Wahyuningtyas, Erdiarti Dyah
; Hendrawan, Cindy
; Hidayati, Nurul
Journal of Educational Innovation and Public Health
Vol 4
, No 2
(2026)
Edentulism is a condition of total tooth loss that has a significant impact on the efficiency of mastics, phonetics, and facial aesthetics. This case report presents the rehabilitation of a 72-year-old female patient with a condition of total mandible edentulus using two standard-diameter implants that support the overdenture with a locator retention system. Treatment procedures include clinical evaluation, radiographic analysis, implant placement, prosthesis placement, as well as follow-up eval...
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Legal Implications of the Implementation of the Financial Services Authority Licensing Requirement for Foreign Venture Capital Companies under the P2SK Law
International Journal of Sociology and Law
Vol 3
, No 1
(2026)
The growth of the digital economy in Indonesia has positioned Foreign Venture Capital Companies (FVCCs) as a fundamental pillar within the startup financing ecosystem. However, the legal landscape has undergone a significant transformation with the enactment of Law Number 4 of 2023 on the Development and Strengthening of the Financial Sector (P2SK Law). This regulation mandates that all financial services business actors, including foreign entities, obtain business licenses from the Financial Se...
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Analisis Klasifikasi Keputusan Belanja Konsumen Pada Toko Online XX Menggunakan Algoritma Decision Tree
Putri Maria Theresia Kehi
; I Wayan Sudiarsa
; Maria Oktaviani Suryati
; Yosefina Dehadi
; Maria Karlinda
Saturnus: Jurnal Teknologi dan Sistem Informasi
Vol 4
, No 1
(2026)
This study aims to analyze consumer purchasing behavior on e-commerce platforms using the Decision Tree algorithm as an easily interpretable classification method. The dataset used consists of 12,330 transaction records with 18 attributes representing visitor characteristics and user activities during interactions with the e-commerce platform. The research stages include data exploration to identify initial patterns, data preprocessing to handle missing values and class imbalance, splitting the...
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Implementasi Pipeline ETL dan Pemodelan Prediktif ARIMA dalam Memetakan Pola Pembelian Konsumen pada Dataset Marketplace
I Wayan Manik Mas Sri Dantya
; I Wayan Sudiarsa
; I Putu Kabinawa Raesa Putra
; Brian Adi Sapurta
; I Komang Hari Sastrawan
Repeater : Publikasi Teknik Informatika dan Jaringan
Vol 4
, No 1
(2026)
In the rapidly evolving digital economy, the ability to anticipate transaction surges is a strategic asset for marketplace platforms to maintain operational efficiency. This research aims to build an accurate daily transaction volume forecasting system thru the implementation of an Extract, Transform, and Load (ETL) pipeline and Autoregressive Integrated Moving Average (ARIMA) predictive modeling. The dataset used is sourced from dataset_olshop.csv, which includes transaction history for the ent...
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Optimasi Prediksi Harga Saham BBNI melalui Integrasi Proses ETL dan Algoritma Long Short-Term Memory
I Gusti Ngurah Rangga Mahesa
; I Wayan Sudiarsa
; I Putu Dicky Dharma Suryasa
; Putu Agus Aditya Putra
; Yulianus Kevin Dharmawa Sagur
Repeater : Publikasi Teknik Informatika dan Jaringan
Vol 4
, No 1
(2026)
Stock price prediction remains a complex challenge due to the dynamic and non-linear nature of financial markets, especially for banking stocks like PT Bank Negara Indonesia (Persero) Tbk (BBNI). This study aims to optimize BBNI stock price forecasting by integrating an automated Extract, Transform, Load (ETL) pipeline with the Long Short-Term Memory (LSTM) algorithm within a data engineering framework. Historical data from 2019 to 2025 were processed through a structured ETL sequence—including...
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Analisis Prediksi Penjualan Bisnis Retail Menggunakan Metode Decision Tree dan Random Forest
Agung Narayana Adhi Putra
; I Wayan Sudiarsa
; I Kadek Adi Gunawan
; Kadek Bagus Karunia Dwi Dharmayasa
; I Wayan Eka Saputra
Saturnus: Jurnal Teknologi dan Sistem Informasi
Vol 4
, No 1
(2026)
The retail industry generates an extremely large and continuously growing volume of transactional data along with the advancement of digital technology, thereby requiring sophisticated and systematic data analysis approaches to support effective and evidence-based business decision-making. This study aims to analyze retail sales data by utilizing the Retail Sales Dataset obtained from the Kaggle platform, which consists of 100,000 transaction records and broadly represents the characteristics of...
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Analisis Tren Gaji Profesi AI di Pasar Kerja Global Tahun 2025 Berdasarkan Data Lowongan Pekerjaan
Saturnus: Jurnal Teknologi dan Sistem Informasi
Vol 4
, No 1
(2026)
Rapid developments in the Artificial Intelligence (AI) industry have triggered an increased need for workers with specialized competencies, which has implications for significant variations in salary levels. This research aims to analyze the factors that influence salaries in the AI sector using the multiple linear regression method. The dataset used includes 15,000 AI job vacancies with variables including job and company characteristics. The data was engineered via the one-hot encoding method...
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BERBAGI PENGETAHUAN DAN KEPEMIMPINAN DIGITAL TERHADAP KINERJA PEGAWAI MELALUI KOMITMEN ORGANISASI(Studi pada Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Kabupaten Pemalang)
Innovation, Theory & Practice Management Journal
Vol 5
, No 1
(2026)
digital baik secara langsung maupun tidak langsung melalui komitmen organisasi pada pegawai Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Kabupaten Pemalang. Populasi yang digunakan pada penelitian ini adalah pegawai yang bekerja di Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Kabupaten Pemalang dengan jumlah 64 orang pegawai, dengan teknik pengambilan sampel menggunakan sample jenuh. Sumber data yang digunakan data primer, dengan metode pengumpulan data kuesioner. Teknik anal...
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Implementasi Algoritma Random Forest untuk Klasifikasi Rentang Harga Ponsel Berdasarkan Spesifikasi Teknis
Yustinus Liguori
; I Wayan Sudiarsa
; I Made Jagat Dita
; I Gusti Ngurah Galih Jimbar Baskara
; Pande Wisnu Wijaya Putra
Router : Jurnal Teknik Informatika dan Terapan
Vol 3
, No 4
(2025)
The rapid development of smartphone technology today creates challenges for consumers and manufacturers in determining an objective price range based on highly varied technical specifications. This study aims to implement the Random Forest algorithm in classifying smartphone price ranges into four main categories, namely low, mid-range, high, and flagship. The research method was carried out systematically through the stages of loading a dataset of 2,000 entries, exploratory data analysis (EDA)...
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Analisis Machine Learning pada Data Netflix Shows untuk Mengklasifikasikan Tren Genre dan Karakteristik Film
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Vol 3
, No 6
(2025)
The rapid development of digital streaming platforms such as Netflix has generated a large volume of content data with diverse characteristics, thereby requiring effective analytical methods to understand emerging patterns and trends. This study aims to classify Netflix content into two main categories, namely movies and television shows, and to analyze genre trends and content characteristics using a data mining approach with the Naive Bayes algorithm. The dataset used in this study is the Netf...
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