874 hasil

Forecasting Food Prices in East Java Using Stacking Ensemble Learning via K-MEANS

Aviolla Terza Damaliana; Amri Muhaimin; Nabilah Selayanti dkk.

ComTech, Vol. 17 No. 1 · 2026 · Inggris · DOAJ

Food commodities are essential in developing countries, such as Indonesia. The government rules the food commodity prices in every province. Yet, somehow, there are some issues in certain provinces. Data science and statistics techniques can help the government control food commodity prices. The…

Juga tersedia di: DOAJ

Explainable Machine Learning Models SHAP-based for Feature Importance Affecting Stunting Prevalence

Asysta Pasaribu; Nur Fitriyani Sahamony; Khairil Anwar Notodiputro dkk.

ComTech, Vol. 17 No. 1 · 2026 · Inggris · DOAJ

Stunting is a form of chronic nutritional deficiency in toddlers and remains a major public health concern due to its impact on child growth and development. Efforts to reduce its prevalence continue to be strengthened in Indonesia, particularly in Sumatra Province. This study aims to evaluate the…

Balinese Language Classification on Social Media using Multinomial Naive Bayes Method with TF-IDF

Putu Widyantara Artanta Wibawa; Cokorda Pramartha; I Gusti Ngurah Anom Cahyadi Putra dkk.

ComTech, Vol. 17 No. 1 · 2026 · Inggris · DOAJ

Balinese language is a local language that is widely use and spoken by Balinese people including in social media. However, the nuances of these politeness levels are often lost in informal digital communication and there is a significant lack of computational model to automatically classify them…

Investigating Prospective Athletic Athletes: Classifiers, Benchmarking, and Post-Hoc XAI Analysis

Ibnu Febry Kurniawan; A'yunin Sofro; Danang Ariyanto dkk.

ComTech, Vol. 17 No. 1 · 2026 · Inggris · DOAJ

Identifying highly-potential athletes is a critical yet inherently challenging process that requires comprehensive analysis of diverse factors, including physiological attributes, demographic characteristics, and social influences. This multifaceted process requires meticulous evaluation of…

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Editorial Page and Table of Content

Evaristus Didik Madyatmadja

ComTech, Vol. 17 No. 1 · 2026 · Inggris · DOAJ

Juga tersedia di: DOAJ

Evaluating Application Integration Success Using DeLone McLean and CSF Model

Al Aziizu Putra Hendriana; Tanty Oktavia

ComTech, Vol. 17 No. 1 · 2026 · Inggris · DOAJ

Digital transformation in the financial industry has encouraged organizations to adopt application integration systems to improve operational efficiency and effectiveness. However, not all information system implementation projects succeed in meeting expectations, particularly in guarantee…

Comparative Performance Analysis of Object-Oriented Programming and Data-Oriented Programming in TensorFlow

Mangapul Siahaan; Jefriyanto Chandra; Muhamad Dody Firmansyah

ComTech, Vol. 17 No. 1 · 2026 · Inggris · DOAJ

The rapid advancement of deep learning significantly increases computational demands, making performance optimization essential for model scalability and deployment. While numerous studies optimize neural network architectures, the effect of different programming paradigms on computational…

Juga tersedia di: DOAJ

Hate Speech Detection Leveraging Emoji Descriptions and BERT-Based Contextual Data Augmentation

Junita Amalia; Walker Valentinus Simanjuntak; Ruth Marelisa Hutagalung dkk.

ComTech, Vol. 17 No. 2 · 2026 · Inggris · DOAJ

This study evaluates the efficacy of emoji-to-text transformation and contextual data augmentation in improving hate speech detection on social media. Using a unified dataset from OLID, TweetEval, and the Sushil benchmark, we compared Multinomial Naive Bayes (MNB), Bidirectional LSTM (Bi-LSTM), and…

An Integrated BSC–Fuzzy DEMATEL–ANP to Continuous Improvement in Electronic Manufacturing

Rahmat Daryono; Christian Harito

ComTech, Vol. 17 No. 2 · 2026 · Inggris · DOAJ

To remain competitive, companies must satisfy customers by improving production processes and tracking progress with KPIs. Continuous Improvement (CI) programs are therefore essential. A review of 10 Scopus‑indexed articles from the past five years finds no study integrating Balanced Scorecard…

Prediction of Transportation-Induced Physiological Stress in Cattle Using an Artificial Neural Network

Harry Dhika; Agus Buono; Shelvie Nidya Neyman dkk.

ComTech, Vol. 17 No. 2 · 2026 · Inggris · DOAJ

The transportation of cattle, particularly during peak demand periods such as Eid al-Adha, frequently induces physiological stress that compromises animal welfare, reduces productivity, and causes economic losses. This study proposes an Artificial Neural Network (ANN) model to evaluate and predict…

GSTAR (1;1) Modelling with Queen Contiguity for Forest Fire FRP West Kalimantan

Zuleha Zuleha; Nur'ainul Huda; Nurfitri Imro'ah dkk.

ComTech, Vol. 17 No. 2 · 2026 · Inggris · DOAJ

Forest fires in West Kalimantan are a recurring problem that causes substantial impacts on the environment and public health. Unlike previous studies that generally focus on hotspot confidence levels or apply distance-based spatial weighting, this study models fire intensity using FRP through a…

Evaluation of Tree-Based Ensemble Models Using Socioeconomic Data

Riechie; Ferry Vincenttius Ferdinand; Feliks Victor Parningotan Samosir

ComTech, Vol. 17 No. 2 · 2026 · Inggris · DOAJ

Air quality significantly impacts public well-being and environmental sustainability, with socioeconomic factors known to influence air quality levels. However, existing AQI prediction studies predominantly rely on meteorological or pollutant variables, while the predictive capability of…

Indoor Campus Surveillance with HTTP Communication via Animaloid Robots

Erwin Anggadjaja; Matthew Amadeus

ComTech, Vol. 17 No. 2 · 2026 · Inggris · DOAJ

The vision of a smart campus is fundamentally rooted in the deployment of a robust and efficient indoor monitoring system, serving as a cornerstone of its intelligent infrastructure. However, a notable limitation of current indoor surveillance is the lack of mobile monitoring capabilities, which…

Optimizing Quality Attributes of Piper Retrofractum Vahl. Through Partial Least Squares Regression: Insights from Pretreatment and Drying Experiments with Fruit Peel Infusions

Ida Lumintu

ComTech, Vol. 16 No. 1 · 2025 · Inggris · DOAJ

The research aimed to optimize the quality attributes of Piper retrofractum Vahl.—piperine content, color brightness, and water content—using Partial Least Squares Regression (PLSR) to evaluate the pretreatment effects with fruit peel infusions and drying conditions. The research urgency lied in…

A Data Mining Approach to Understanding Financial Literacy Knowledge and Behavioral Patterns among Tertiary Students

Maricris M. Usita; Virgie Liza Luriban

ComTech, Vol. 16 No. 1 · 2025 · Inggris · DOAJ

The research sought to data mine the financial literacy of tertiary students to evaluate and pinpoint deficiencies in their financial knowledge, measure the degree of financial goal-setting and budgeting practices, and determine their primary sources of financial advice. The data were gathered…

The Implementation of the Fuzzy C-Means Method in Handling Outlier Data in the 2021 Village Potential Data of Bengkulu Province

Intan Juliana Panjaitan; Indahwati Indahwati; Farit Mochamad Afendi

ComTech, Vol. 16 No. 1 · 2025 · Inggris · DOAJ

Clustering groups aims to ensure similarity within clusters and disparity between them. The research evaluated the Fuzzy C-Means method’s effectiveness in clustering large datasets containing outliers, focusing on the 2021 Village Potential data from Bengkulu Province. The dataset, comprising 1,514…