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Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Published by Sekolah Tinggi Ilmu Kesehatan Ibnu Sina Ajibarang
ISSN : 30252776     EISSN : 3025342X     DOI : 10.59841
Core Subject : Science,
Computer Science & IT
hasil penelitian mengenai Ilmu bidang Teknik Informatika, Sains dan Ilmu Komunikasi, sebagai media bagi para dosen, guru, peneliti dan para praktisi dalam bidang teknologi informasi dari seluruh Indonesia
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 296 Documents
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Sistem Presensi Pegawai Berbasis Face Recognition Asep Suherman; Herlina Herlina; Ninik Sri Lestari; Lysda Oktaviani; Sukirno Sukirno
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.4196

Abstract

This research focuses on developing a system that supports face-recognition-based employee attendance as a solution to improve accuracy, efficiency, and security in attendance recording. The system consists of two types of users: Employees and Admins. The developed system provides main features such as registration, login, profile management, clock-in and clock-out attendance through facial verification, and logout for employees, as well as data management and reporting for admins. The registration process is carried out by activating the camera and capturing a photo (via smartphone or webcam), while attendance verification uses face recognition technology to compare the facial match with the data in the database. Test results show that all main functions, including login and both clock-in and clock-out attendance, work as designed. In addition, the admin features function optimally in managing employee data and generating daily, monthly, yearly, and overall attendance reports in PDF and Excel formats. The system can be accessed via smartphone or computer, supporting flexibility in usage. Face recognition technology is used as the primary authentication method to ensure valid attendance and prevent fraud, making the system an effective and relevant digital solution for institutions and companies.
Rancang Bangun Sistem Informasi E-Learning Sebagai Media Pembelajaran pada SMP Tutim Delo Menggunakan Metode Waterfall Yosep Bulu; Gergorius Kopong Pati; Paulus Mikku Ate
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 3 (2026): Juli : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i3.4199

Abstract

Advancements in information technology offer educational institutions the opportunity to enhance the quality of the learning process through the implementation of digital-based learning systems. SMP Tutim Delo currently faces challenges in its learning process, such as limitations in delivering course material outside school hours, delays in distributing teaching materials, and a lack of learning media that facilitate flexible interaction between teachers and students. This research aims to design and develop an e-learning information system to serve as a learning medium that supports material delivery, assignment management, and instructional interaction between teachers and students. The Waterfall method was employed for system development, comprising stages such as requirements analysis, system design, implementation, testing, and maintenance. The analysis phase involved identifying the needs of various user groups, including administrators, teachers, and students. The developed system provides features for managing user data, subjects, learning materials, and assignment submissions, as well as academic information to support teaching and learning activities. Research results indicate that the developed e-learning system provides a digital learning platform that simplifies material and assignment management for teachers while enabling students to access learning content more effectively and flexibly. System testing was conducted using the black-box testing method to ensure that all functions operate according to user requirements. Test results confirm that the system functions correctly and meets the learning needs of SMP Tutim Delo. This e-learning information system is expected to support digital transformation in education and enhance the overall effectiveness of the learning process
Sistem Informasi Monitoring dan Klasifikasi Jenis Bantuan Sosial (BLT-PKH) di Desa Tema Tana Yunita Neni Dadi; Gergorius Kopong Pati; Agustina Purnami Setiawi
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 3 (2026): Juli : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i3.4200

Abstract

The rapid advancement of information technology offers significant opportunities for various sectors to enhance service effectiveness and efficiency, including the management of social assistance at the village level. Utilizing web-based technology serves as a solution to facilitate management, monitoring, and information dissemination in a faster and more transparent manner. This research aims to develop a web-based Information System for Monitoring and Classifying Social Assistance in Tema Tana Village. The system is designed to assist the village government in monitoring the distribution of social assistance and ensuring that aid reaches community members who meet the beneficiary criteria. Furthermore, the system is expected to aid village officials in data collection, the categorization of assistance types, and the structured presentation of information, thereby enabling data-driven decision-making. The system development method employed in this study is the System Development Life Cycle (SDLC), comprising the stages of requirements analysis, design, implementation, and system testing. Data collection techniques included interviews, observation, and documentation review to gather information regarding the existing social assistance management process in Tema Tana Village. The developed system involves four primary actors: the village head, the village secretary, the village treasurer, and the community. Each actor possesses distinct access rights tailored to their specific roles in the management and monitoring of social assistance. The expected outcome of this research is a web-based information system capable of effectively supporting social assistance monitoring, enhancing management transparency, and assisting the village government in ensuring that social assistance is distributed efficiently, reaches the intended targets, and aligns with community needs.
Evaluasi Komparatif Random Forest, LightGBM dan MLP pada Dataset Tabular UCI dengan Beragam Karakteristik Eko Prasetyo; Budi Waluyo
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.4211

Abstract

Classification performance on tabular data can vary according to dataset characteristics, class distribution, feature structure, and learning mechanisms. This study aims to comparatively evaluate the performance of Random Forest, LightGBM, and Multi-Layer Perceptron on heterogeneous UCI tabular datasets using a consistent and leakage-controlled experimental framework. The study employed Breast Cancer Wisconsin, Wine Quality, Adult Income, and Spambase datasets. Data preprocessing included missing-value imputation, correlation-based feature reduction, class-imbalance handling using synthetic oversampling, categorical encoding, and feature scaling for the neural network model. Hyperparameters were optimized using Grid Search with three-fold inner cross-validation, while five-fold stratified nested cross-validation was used for unbiased performance estimation. Evaluation employed accuracy, precision, recall, weighted F1-score, and area under the receiver operating characteristic curve. Descriptively, LightGBM achieved the highest average accuracy of 0.846608 and weighted F1-score of 0.850399 across datasets, whereas Random Forest achieved the highest average area under the receiver operating characteristic curve of 0.868093. However, the Friedman test found no statistically significant performance differences among the three models for accuracy, weighted F1-score, or area under the receiver operating characteristic curve. Permutation feature importance further revealed that dominant features varied across models and datasets. These findings indicate that model performance is context-dependent and that tabular model benchmarking should integrate dataset diversity, rigorous validation, statistical testing, and model interpretability.
Peran Komunikasi Krisis Dan Manajemen Isu Dalam Menangani Miskonsepsi Pelabelan 'Bank Asing' Pasca-Rebranding Vivi Nessia; Priatna Priatna; Henry Sianipar
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.4216

Abstract

The transformation of the visual identity of PT Bank KB Bukopin, Tbk into KB Bank triggered a misconception of the labeling of "Foreign Bank" by PT TASPEN (Persero). This misconception due to the entry of South Korean investors has the potential to trigger the termination of institutional cooperation and brand switching of retired customers. This descriptive qualitative research aims to analyze the crisis communication strategy of KB Bank's Pension & Partnership Division through in- depth interviews, official correspondence documents, and risk mitigation maps. The results of the study show that issue management is quickly focused on the prodromal phase. The restoration of institutional relations is achieved through the integration of three tactical elements: the implementation of justification and bolstering strategies by locking the message on the legality of KB Bank as a National Private Bank under the supervision of the OJK; the use of a hybrid approach that combines official letters and face-to-face meetings; as well as the division of managerial tactical roles as diplomats and operational staff as educators. This strategy is considered to support the sustainability of institutional relations.
Konstruksi Kepercayaan Generasi Z terhadap Konten Visual Berbasis Generative AI di Media Sosial Agnita Ayucendika Damanik; Ilham Albar Pane
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.4220

Abstract

The development of Generative Artificial Intelligence (Generative AI) technology has brought about significant changes in the production and distribution of visual content on social media. AI's ability to generate increasingly realistic images and videos raises new issues regarding authenticity, credibility, and audience trust—particularly among Generation Z, a demographic that uses social media intensively. This study aims to analyze how Generation Z constructs trust in Generative AI-based visual content on social media and to identify the factors influencing this trust-formation process. A qualitative approach utilizing a descriptive method was employed. Data were gathered through semi-structured interviews with Generation Z informants who are active social media users and have experience encountering or interacting with AI-generated visual content. The data were analyzed through the stages of data reduction, data presentation, and interpretive conclusion drawing. The findings are expected to demonstrate that Generation Z's trust in Generative AI-based visual content is not formed solely based on visual quality, but rather through an evaluation process involving source credibility, creator reputation, transparency regarding AI usage, digital experience, verification capabilities, and digital literacy levels. This research contributes to an understanding of the dynamics of young audience trust amidst the rising use of AI technology in digital communication.
Evaluasi Model Embedding untuk Retrieval Dokumen Klinis Berbahasa Indonesia: Studi Kasus Hipertensi dan Diabetes Melitus Tipe 2 Rita Rahmawati; Shafitri Pangestika
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 3 (2026): Juli : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i3.4230

Abstract

Retrieval-augmented generation (RAG) is increasingly explored for clinical decision support, yet the contribution of the embedding model to retrieval quality on Indonesian medical documents has not been measured under controlled conditions. This study evaluates the effect of embedding model choice by comparing BAAI/bge-m3 and multilingual-e5-large on Indonesian clinical practice guidelines for hypertension (ICD-10 I10) and type 2 diabetes mellitus (ICD-10 E11). Two RAG pipelines were built to be identical except for the embedding component, using a FAISS index with cosine similarity, chunks of about 400 tokens with 15% overlap, and top-k fixed at 5. Ground truth consisted of 152 query–document pairs created through passage-to-query generation. Precision@5, Recall@5, MRR, and nDCG@5 were compared using paired Wilcoxon signed-rank tests, percentile bootstrap confidence intervals, rank-biserial effect sizes, and Holm-Bonferroni correction. BGE-M3 obtained higher mean scores on all four metrics, but only nDCG@5 differed significantly after correction (0.857 versus 0.806; Holm-adjusted p = 0.046). These results suggest that BGE-M3 is a better, or at least equivalent, choice, with its advantage clearest in ranking quality. This is a retrieval study and not a clinically validated decision support system.
Perancangan dan Implementasi Sistem Informasi Penjualan Kain Tenun Tradisional Berbasis Web pada UMKM Elisa Tenun dan Buah Petrus Kodi Hoga; Antonius Mbay Ndapamuri; Paulus Mikku Ate
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.4236

Abstract

The development of digital technology has provided opportunities for Micro, Small, and Medium Enterprises (MSMEs) to improve the management and marketing of their products. One of the MSMEs that requires digital support is Elisa Tenun dan Buah, which manages and sells traditional Sumba woven fabrics. The sales and product management process requires an information system that can facilitate product data management, stock management, customer data, sales transactions, and reporting. This study aims to design and implement a web-based sales information system for Elisa Tenun dan Buah MSME. The research used a descriptive approach combined with the Waterfall software development model. Data were collected through observation, interviews, documentation, and literature studies. The system was developed using HTML, CSS, JavaScript, PHP, and MySQL. Functional testing was designed using the Black Box Testing method to examine whether each system function operates according to the specified requirements. The resulting system is designed to provide integrated management of product information, stock, customer data, sales transactions, and sales reports. The implementation of the system is expected to support more efficient sales administration, improve information accessibility, and expand the marketing potential of traditional Sumba woven fabrics through digital media. The system also provides a technological medium for supporting the promotion and preservation of traditional woven-fabric products in the digital era.
Klasifikasi Pelanggan Potensial Pada Platform Digital UMKM Menggunakan Machine Learning Berbasis Customer Analytics Zulfikar Yusya Mubarak; Tri Styo Famuji
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 3 No. 4 (2025): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v3i4.4273

Abstract

The development of digital platforms in the Micro, Small, and Medium Enterprises (MSMEs) sector generates various types of user activity data that have the potential to support data-driven decision-making. However, most MSME digital platforms still primarily focus on marketing and transaction functions, while the utilization of consumer behavior data for predictive analysis remains limited. This study aims to implement machine learning to predict consumer behavior on the khas-cilacap.com digital platform based on customer analytics. This study employs a quantitative approach using a computational experimental method. The dataset used is dataset consisting of 350 user records designed based on digital platform user activity characteristics, including visit frequency, product interaction, session duration, shopping cart activity, transaction frequency, transaction value, and customer status. The research stages include data preprocessing, dataset splitting into training and testing sets, classification model development using Logistic Regression, Decision Tree, and Random Forestalgorithms, and model evaluation using accuracy, precision, recall, and F1-score metrics. The results show that the Random Forestalgorithm achieved the best performance compared to other algorithms, with an accuracy of 91.25%, precision of 90.80%, recall of 89.70%, and F1-score of 90.20%. Feature importance analysis indicates that Transaction Frequency and transaction value are the most influential factors in identifying potential customers. These findings demonstrate that the implementation of machine learning-based Customer analytics can support the development of khas-cilacap.com as a digital MSME platform capable of generating predictive insights for marketing strategies and data-driven decision-making
Perancangan Sistem Informasi Akademik Berbasis Web dengan Metode Agile dan Black-Box Testing Arif Rahman
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 3 (2026): Juli : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i3.4179

Abstract

The management and delivery of academic information in schools require a system that can assist school staff in managing data while making academic information easier for students to access. At SMKS Patriot Nusantara Teluknaga, academic information was previously delivered manually through direct announcements, verbal communication, and written notices. This condition required students and parents or guardians to visit the school to obtain certain information, such as class schedules and learning outcomes. This study aims to design and develop a web-based academic information system that can assist the school in managing and delivering academic information more efficiently. The system was developed using an Agile approach, which emphasizes iterative development, continuous feedback, and incremental improvement. The system was designed using Unified Modeling Language (UML) and implemented using PHP, the CodeIgniter and Bootstrap frameworks, and MySQL as the database. System testing was conducted using Black-Box Testing to evaluate the functionality of the developed system, while usability evaluation was conducted to assess user acceptance. The functional testing involved 20 test scenarios, while the usability testing involved 12 respondents consisting of 2 teachers and 10 students using 30 questionnaire items. The results showed that the Black-Box Testing achieved a functional success score of 100%, while the usability test obtained a score of 86.7%, categorized as very feasible. These results indicate that the developed system is able to perform the required academic functions and can be used effectively by its users. The system is expected to assist SMKS Patriot Nusantara Teluknaga in managing and delivering academic information in a more organized manner while providing students with easier access to their academic information.

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