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A Decision Support System Based on Transformer-Driven Sentiment Analysis of Social Media Data
The growing availability of social media data offers new opportunities for decision support systems (DSS) in large-scale human resource screening. This study proposes a technology-driven DSS architecture integrating transformer-based sentiment analysis to support early-stage candidate profiling. Its novelty lies in combining IndoBERT-based sentence embeddings with a structured DSS layer that aggregates tweet-level sentiment into risk-aware recommendations, rather than treating sentiment classifi...
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Intervensi Edukasi Reproduksi untuk Cegah Infeksi Menular Seksual pada Remaja Melalui Sekolah
Jurnal Inovasi dan Pengabdian Masyarakat Indonesia
Vol 5
, No 2
(2026)
Latar belakang: Remaja merupakan kelompok usia yang rentan terhadap infeksi menular seksual (IMS) dan human immunodeficiency virus/acquired immuno deficiency syndrome (HIV/AIDS) akibat kurangnya akses terhadap informasi kesehatan yang akurat dan edukatif. Kondisi ini menunjukkan perlunya intervensi edukatif yang sistematis dan berbasis sekolah guna meningkatkan pemahaman remaja mengenai kesehatan reproduksi serta pencegahan IMS dan HIV/AIDS. Tujuan: Kegiatan ini bertujuan untuk meningkatkan peng...
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Factors Influencing Cesarean Section (CS) Deliveries In Indonesia (DHS Program Analysis)
VISIKES
Vol 25
, No 1
(2026)
There are numerous potential issues that might arise during birth, leading to morbidity and even death for both mothers and fetuses. Indonesia's 2020 Maternal Mortality Rate (MMR) was 189 fatalities for every 100,000 live births. Cesarean section (CS) is one maternal care intervention that has a strong correlation with maternal and fetal morbidity and mortality. The DHS Program particularly for Indonesia, also known as the SDKI (Indonesian Demographic Health Survey), provided the secondary data...
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Social Determinants and Hypertension Incidence in Productive-Age Adults: A Literature
VISIKES
Vol 25
, No 1
(2026)
Hypertension, commonly known as high blood pressure, is a blood disorder characterized by an increase in blood pressure above the normal threshold of 140/90 mmHg during two measurements within a five-minute period in a calm state. Hypertension is one of the non-communicable diseases that causes high mortality rates in various countries. Increased blood pressure puts a heavier workload on the heart in pumping blood and circulating it throughout the body. Therefore, a person with high blood pressu...
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Spatial and Epidemiological Analysis of Tuberculosis Case Distribution and Determinants of Treatment Success in the Working Area of Rowosari Community Health Center (2024-2025)
Fitriana, Amelia Putri
; Lavinia, Bela
; Nabila, Farida Putri
; Prastina, Mona
; Arani, Azka
; Asfawi, Supriyono
VISIKES
Vol 25
, No 1
(2026)
Tuberculosis (TB) remains a significant global public health challenge. This study aims to analyze the distribution of TB cases based on the dimensions of time, region, age, gender, and the evaluation of treatment success at Puskesmas Rowosari for the period 2024–2025. The research method uses a quantitative descriptive design with a secondary data study approach from the health center information system. The results show a decrease in case notifications from 134 (2024) to 100 (up to November 20...
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Designing hypothetical learning trajectory of geometry transformation using realistic mathematics education
KOMAEDI, ZAHRA
; Putri Ayunia Rahmawati
; Saskia Eva Aprilia
; Gladis Audia Meyfika
; Putri Claudia Maharani Saputro
; Farida Nursyahidah
Geometric transformation is an important topic in mathematics that students must master. However, many students find it difficult to understand geometric transformations abstractly. Thus, the purpose of this research is to develop a learning trajectory that facilitates students' understanding of geometric transformations by using the context of Tayub Dance and GeoGebra media for ninth-grade students at junior high schools in Semarang. The approach applied is Realistic Mathematics Education (RME)...
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Sentiment Analysis in User Reviews of Tourist Attractions in East Nusa Tenggara Using Machine Learning Classification
Journal of Multimedia Trend and Technology
Vol 5
, No 1
(2026)
This study aims to analyze user review sentiments for six tourist attractions in East Nusa Tenggara Province by utilizing a large amount of review data obtained from Google Maps. Data was collected through a scraping process using Serp API, followed by cleaning and text pre-processing to improve data quality. Sentiment labeling was performed automatically using the Indo-BERT model to obtain three sentiment classes: positive, negative, and neutral. Text feature representation was performed using...
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Algoritma Apriori untuk Menganalisis Pola Pembelian Produk di PT. Tridaya Medima Sakti
WillaWiranata, Danniel Riyantus
; Sihotang, Fransiska Prihatini
; WillaWiranata, Danniel Riyantus
; Sihotang, Fransiska Prihatini
Ketidakseimbangan antara tingkat persediaan dan permintaan pasar dapat mengakibatkan kelebihan stok, meningkatnya biaya penyimpanan, dan meningkatnya risiko kerusakan produk. PT. Tridaya Sakti Medima, sebuah perusahaan distribusi farmasi yang berlokasi di Palembang, menghadapi tantangan serupa dalam mengelola persediaannya. Penelitian ini bertujuan untuk menganalisis pola pembelian dengan menerapkan teknik penambangan data menggunakan algoritma Apriori dan untuk merancang sistem rekomendasi prod...
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Development of a Web-Based Chemical Laboratory Inventory System Using the Prototype Model
Pengelolaan inventaris pada laboratorium kimia yang masih dilakukan secara manual berpotensi menimbulkan berbagai permasalahan seperti kesalahan pencatatan stok, ketidaksesuaian data, serta keterlambatan dalam penyusunan laporan. Kondisi tersebut dapat menghambat efektivitas pengelolaan barang masuk dan keluar serta menyulitkan proses monitoring ketersediaan stok. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem informasi inventory laboratorium kimia berbasis web guna mendukung...
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Data-Driven Techno-Behavioral Segmentation of Post-Pandemic Tourists Using TwoStep Cluster Analysis
Post-pandemic tourism is characterized by increasing behavioral heterogeneity as digital technologies reshape travel planning and mobility practices, challenging traditional demographic-based segmentation. This study develops a techno-behavioral, data-driven segmentation framework within the Smart Tourism Ecosystem perspective by conceptualizing digital adoption as a mediating mechanism between socio-demographic attributes and travel behavior. Using survey data from 805 domestic tourists in Yogy...
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