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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Ilmiah Matrik METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Sebatik Jurnal Nasional Komputasi dan Teknologi Informasi Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) Building of Informatics, Technology and Science Just TI (Jurnal Sains Terapan Teknologi Informasi) TEPIAN Journal of Social Responsibility Projects by Higher Education Forum Informatika Wicida Digital Transformation Technology (Digitech)
Harpad, Bartolomius
STMIK Widya Cipta Dharma
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Neuroscience Social Sciences Transportation

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Analisis Perbandingan metode Teorema Bayes dan CF dalam Mendiagnosa Gejala Penyakit Demam Berdarah Dengue Bartolomius Harpad; Reza Andrea
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 4 (2023): Oktober 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i4.6776

Abstract

Dengue Hemorrhagic Fever (DHF) is a potentially hazardous condition and a health concern in various tropical countries. To accurately and swiftly detect this disease, various diagnostic methods have been developed. The incidence of DHF can fluctuate from year to year, influenced by factors such as weather changes, vector control efforts, and socio-economic aspects. In Indonesia, there have been significant outbreaks of DHF in certain years. In this study, the Author conducted a comparison between the Bayesian Theorem method and the Certainty Factor (CF) method to diagnose DHF symptoms. The Bayesian Theorem calculates the probability of the disease based on symptoms, while the Certainty Factor employs a confidence level to link symptoms with the disease. Symptom data from previous DHF patients were collected, and both methods were utilized to diagnose these cases. The analysis results indicate that both methods have their respective strengths and limitations in terms of accuracy and speed. The Bayesian Theorem is accurate when complete symptom data is available, while the Certainty Factor is useful when data is incomplete or uncertainty exists. Both methods can be used concurrently based on context. This research illustrates the application of statistical analysis and data-driven approaches to enhance DHF diagnosis, also stimulating the development of advanced combined methods in the future. This study provides insights into the use of probabilistic approaches and confidence-based logic in DHF diagnostic development. Both methods can be applied interchangeably or in conjunction, depending on data and case characteristics. The results of applying the Bayesian Theorem and Certainty Factor show that the Bayesian Theorem yields 57.29%, while the Certainty Factor achieves 94.47% accuracy in diagnosing DHF.
Implementation of the Breadth First Search Algorithm in the Darkness Maze Game Based on Desktop Intelligent Agent Ramadhani Suciansyah; Bartholomius Harpad; Hanifah Ekawati
TEPIAN Vol. 2 No. 3 (2021): September 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v2i3.346

Abstract

This research was developed with a multimedia development stage consisting of 6 stages, namely Concept, Design, Material Collecting, Assembly, Testing and Distribution. Analysis of system design using UML (Unified Modeling Language) which consists of Use Case Diagrams, Activity Diagrams and Sequence Diagrams. In the development of this 3D game using the Unity Engine as software designed for the creation and development of video games assisted by typing some coding programs. The test method uses Black-Box testing and Beta Testing. Testing and Distribution (Distribution). Analysis of system design using UML (Unified Modeling Language) which consists of Use Case Diagrams, Activity Diagrams and Sequence Diagrams. In developing this 3D game using the Unity Engine as software designed for the creation and development of video games assisted by typing some coding programs. The test method uses Black-Box testing and Beta Testing. Testing and Distribution . Analysis of system design using UML (Unified Modeling Language) which consists of Use Case Diagrams, Activity Diagrams and Sequence Diagrams. In developing this 3D game using the Unity Engine as software designed for the creation and development of video games assisted by typing some coding programs. The test method uses Black-Box testing and Beta Testing. The final results of this study can be applied with the help of typing coding so that the path points that have been created can provide information about adjacent paths so that they can find an exit path.
Implementasi Metode User Centered Design pada Perancangan Website Pendataan Inovasi dan Kewirausahaan di UPT. Pusat Inovasi Kewirausahaan dan Pelatihan (PIKP) STMIK Widya Cipta Dharma Fadillah Candrika Pratama; Bartolomius Harpad; Azahari Azahari
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 3 (2025): Juni 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i3.9057

Abstract

Abstrak - Website ini dirancang untuk memfasilitasi proses pengumpulan, pengelolaan, dan analisis data terkait aktivitas kewirausahaan mahasiswa di lingkungan perguruan tinggi. Integrasi dan sistematisasi data bertujuan untuk mempermudah pemantauan perkembangan kewirausahaan mahasiswa serta mendukung pengambilan keputusan strategis guna memperkuat kegiatan tersebut. Aplikasi ini memiliki fitur utama berupa pendataan artikel serta berita inovasi di STMIK Widya Cipta Dharma, registrasi kewirausahaan mahasiswa, serta pengumpulan data profil individu dan usaha yang dijalankan. Mahasiswa dapat mendaftarkan diri sebagai wirausaha serta menginformasikan detail bisnis yang tengah mereka kelola. Informasi yang diperoleh dari aplikasi ini dapat digunakan untuk memantau perkembangan, mengidentifikasi kebutuhan dan peluang baru, serta merancang strategi untuk meningkatkan kesuksesan bisnis mahasiswa dan efektivitas penyampaian informasi. Oleh karena itu, diperlukan perancangan desain antarmuka pengguna yang efektif. Penelitian ini menggunakan pendekatan User Centered Design (UCD), sebuah metode yang bertujuan merancang sistem yang berorientasi pada kebutuhan pengguna, sekaligus memastikan bahwa pengembangan sistem dilakukan sesuai dengan tujuan penelitian. Hasil penerapan UCD menunjukkan bahwa pendekatan ini mampu memenuhi kebutuhan pengguna dan meningkatkan kegunaan (usability) sistem. Evaluasi dilakukan menggunakan System Usability Scale (SUS) yang menghasilkan rata-rata skor sebesar 84,2, menempatkan sistem pada kategori Grade B (Excellent), Adjective Rating: Excellent, Acceptable, dan Promoter pada kategori Net Promoter Score.Kata kunci: User Centered Desain; Pendataan; Inovasi; Kewirausahaan; User Interface;  Perancangan; Desain User Interface. Abstract - This website is designed to facilitate the process of collecting, managing, and analyzing data related to student entrepreneurial activities in the university environment. Data integration and systematization aim to facilitate monitoring of student entrepreneurship developments and support strategic decision-making to strengthen these activities. This application has main features in the form of recording articles and innovation news at STMIK Widya Cipta Dharma, student entrepreneurship registration, and collecting individual profile data and businesses being run. Students can register themselves as entrepreneurs and provide details of the businesses they are managing. Information obtained from this application can be used to monitor developments, identify new needs and opportunities, and design strategies to improve student business success and the effectiveness of information delivery. Therefore, an effective user interface design is needed. This study uses the User Centered Design (UCD) approach, a method that aims to design a system that is oriented towards user needs, while ensuring that system development is carried out in accordance with the objectives of the study. The results of the application of UCD show that this approach is able to meet user needs and improve the usability of the system. The evaluation was conducted using the System Usability Scale (SUS) which produced an average score of 84.2, placing the system in the Grade B (Excellent) category, Adjective Rating: Excellent, Acceptable, and Promoter in the Net Promoter Score category.Keywords: User Centered Design; Data Collection; Innovation; Entrepreneurship; User Interface; User Interface; Design.
Pemanfaatan Filter XR Berbasis Web sebagai Media Promosi STMIK Widya Cipta Dharma Uleh Lod; Bartolomius Harpad; Ahmad Fahrijal Pukeng
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 3 (2025): Juni 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i3.9169

Abstract

Abstrak - STMIK Widya Cipta Dharma sebagai salah satu perguruan tinggi berbasis teknologi di Samarinda memiliki potensi yang cukup besar untuk mengadopsi teknologi web dalam strategi promosi kampus. Dengan memanfaatkan filter XR berbasis web, baik perguruan tinggi maupun mahasiswa dapat saling berbagi filter interaktif di media sosial sebagai sarana promosi yang menarik. Penelitian ini bertujuan untuk mengimplementasikan pendekatan promosi dengan menggunakan teknologi realitas campuran melalui web, sehingga dapat diakses tanpa perlu mengunduh aplikasi khusus. Beberapa tema filter dirancang untuk merefleksikan berbagai fase kehidupan kampus. Proses pengembangan mengikuti Multimedia Development Life Cycle (MDLC) yang terdiri dari enam tahap, yaitu konsep, desain, pengumpulan materi, perakitan, pengujian, dan distribusi. Data akan dikumpulkan selama fase pengujian melalui kuesioner beta yang disebarkan kepada 10 responden di STMIK Widya Cipta Dharma. Hasil evaluasi diharapkan dapat menunjukkan kepuasan pengguna dalam menggunakan filter promosi kampus.Kata kunci: Filter XR; MDLC; Website Abstract - STMIK Widya Cipta Dharma, as a technology-based higher education institution in Samarinda, holds significant potential to adopt Web technology for campus promotion strategies. By utilizing Web-based XR filters, both the institution and its students can share interactive filters on social media as an engaging promotional tool. This study aims to implement a promotional approach using mixed reality technology through the Web, allowing access without the need to download a dedicated application. Several filter themes are designed to reflect various phases of campus life. The development process follows the Multimedia Development Life Cycle (MDLC), which consists of six stages: concept, design, material collecting, assembly, testing, and distribution. Data will be collected during the testing phase through a beta questionnaire distributed to 10 respondents at STMIK Widya Cipta Dharma. The evaluation results are expected to indicate user satisfaction in using the campus promotional filters.Keywords: XR Filter; MDLC; Website.
Analysis of Consumer Satisfaction Levels at Sakura Fashion Store Using the SERVQUAL Method Laramitha; Pajar Pahrudin; Bartolomius Harpad
Sebatik Vol. 30 No. 1 (2026): June 2026
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v30i1.2816

Abstract

This research is motivated by the importance of understanding the level of customer satisfaction in the increasingly competitive retail fashion industry, particularly at Sakura Fashion Store. Customer satisfaction is a crucial factor in maintaining customer loyalty and enhancing business competitiveness. This study aims to analyze the level of customer satisfaction with service quality using the SERVQUAL method, which encompasses five dimensions: tangibles, reliability, responsiveness, assurance, and empathy. The research method used is a descriptive quantitative approach with data collection techniques through distributing questionnaires to 42 respondents who are consumers of Sakura Fashion Store. The data obtained were analyzed to determine the match between consumer expectations and perceptions of the services provided. The results showed that the overall level of customer satisfaction was in the category of quite satisfied to satisfied. The tangibles dimension received the highest score, while the reliability and responsiveness dimensions still require improvement. This study concludes that service quality has a significant influence on customer satisfaction. Therefore, Sakura Fashion Store is advised to improve service speed, product quality consistency, and employee ability to respond to consumer needs more effectively
Analysis Of The Effectiveness Of Using Tiktok Social Media As A Promotional Medium Using The EPIC Model At Alesha Shop Bara Ammar Ibnu Arif; Ita Arfyanti; Bartolomius Harpad
Sebatik Vol. 30 No. 1 (2026): June 2026
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v30i1.2827

Abstract

Social media promotional activities currently play a truly crucial role in significantly increasing brand awareness and public interest in Alesha Shop Bara. For this precise reason, conducting a comprehensive analysis of the effectiveness of utilizing this digital media is highly necessary for management to design and develop more optimal sales strategies in the future. In conducting this evaluation process, a highly applicable instrument or method is the EPIC Model, which was initially developed by the global market research firm, AC Nielsen. This particular evaluation model is specifically designed to comprehensively measure promotional effectiveness based on four main dimensions, which consist of empathy, persuasion, impact, and communication. To test and determine definitely whether the specific marketing strategy executed through the TikTok platform by Alesha Shop Bara has been completely effective, an objective measurement of the shop's TikTok performance itself is required. Based on the final results of the data analysis, it can be concluded that Alesha Shop Bara's TikTok is proven to be a highly effective promotional medium. This positive result is strongly evident from the excellent scores achieved in the empathy, persuasion, impact, and communication dimensions. Overall, the average score of the EPIC rate obtained is 4.42, with the empathy dimension successfully achieving the highest score compared to the other dimensions, reaching 4.49.
Analisis Sentimen Ulasan Pengguna Aplikasi Grab Mobile Menggunakan Metode K-Nearest Neighbor dan Lexicon-Based Maulana Bakti; Pitrasacha Adytia; Bartolomius Harpad
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp402-411

Abstract

Grab is one of the most widely used online transportation and digital service applications in Indonesia. As the number of users grows, reviews provided on the Google Play Store have become an important sourc of information to understand what users think and how satisfied they are. This study aims to study customer feelings about app reviews. Grab uses the K-Nearest Neighbor (KNN) method combined with a Lexicon -Based approach for automatic labeling. The dataset consists of 300 reviews in Indonesian sourced from the Google Play Store. The preprocessing process includes cleaning, case folding, tokenizing, stopword removal, and stemming using the Sastrawi library. Emotion labeling is done automatically using a Lexicon-Based sentiment dictionary. Text attributes are extracted using the TF-IDF (Term Frequency-Inverse Document Frequency) method, then classified using KNN with K = 5 and a training and experimental data sharing ratio of 80: 20. The research findings emphasize that the majority of users (80.67%) give positive reviews to the Grab app. The KNN model achieved 90% accuracy with a precision of 0.92, a recall of 0.96, and an F1-score of 0.94 for the good class. This study demonstrates that the combination of KNN and Lexicon-Based methods can be used effectively in sentiment classification of Indonesian-language reviews.
Prototype of Fan Radiator Control System Diesel Machine Using Max6675 Type Transmitter and Type-K Thermocouple Sensor Based On Arduino Uno Asep Nurhuda; Bartolomius Harpad; Sunarto
TEPIAN Vol. 1 No. 2 (2020): June 2020
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v1i2.92

Abstract

This study aims to produce a Control System that can operate the radiator fan based on the temperature or temperature of the cooling water, this control system is made as an optimization in order to support the dynamism of the operator's work. The prototype of the automatic radiator fan control system is expected to be able to provide time efficiency and work effectiveness for the operator. The method in this study uses the prototype method. In this research, data collection techniques used are field studies, observations and literature studies. Tool testing is carried out using comparative testing and function tests documented with the minutes of testing. The final results of this study are in the form of Prototype of the Diesel Engine Radiator Fan Control System based on temperature or temperature.
Employee Acceptance Decision Support System Using The Smart Method (Case Study on Association of The Indonesian Electrical and Mechanical Contractors Samarinda City) Aldy Septian Derry; Bartholomius Harpad; Yunita Yunita
TEPIAN Vol. 2 No. 2 (2021): June 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v2i2.357

Abstract

Decision Support System (DSS) is a system that can assist someone in making accurate and targeted decisions. Many problems can be aasolved by using SPK, one of which is the acceptance of employees at the Gaklimdo Samarinda Association using the SMART (Simple Multi Attribute Rating Technique) method. The purpose of this research is to produce a Decision Support System for Employee Admission Using the SMART Method (Case Study of the Gaklimdo Association of Samarinda City) with the hope that the selection of employees will be carried out objectively. By using the PHP programming language and the database used is MySql. In this study, the data collection techniques used were literature study, observation and interviews. The result of this research is the creation of a decision support system to make employee decisions that are accepted, and not accepted as employees. Users can input prospective employee data, criteria data and sub-criteria data. Then the system will look for a solution using the SMART (Simple Multi Attribute Rating Technique) method. After the decision is obtained, the system will display the decision.
Investment Decision-Making for High-Potential Startups in the Digital Economy Using AHP and VIKOR Salmon Salmon; Rizki Galang Rahmadani; Bartolomius Harpad
Building of Informatics, Technology and Science (BITS) Vol 7 No 3 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i3.8633

Abstract

The rapid growth of the digital economy has driven the emergence of numerous startup companies that play a vital role as catalysts for innovation and business transformation in the modern era. However, the increasing number of startups poses a major challenge for investors in selecting the most potential and profitable investment opportunities. The main problem lies in the multi-criteria evaluation process, which involves various aspects such as market potential, product innovation, business model, team performance, and financial stability. To address this complexity, this study applies a combination of the Analytical Hierarchy Process (AHP) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) methods as an objective and measurable multi-criteria decision-making approach. The AHP method is utilized to determine the priority weights of each criterion through a pairwise comparison process. The results show that market potential (C1) is the most dominant criterion with a weight of 0.458, followed by product innovation (C2) with a weight of 0.247, and business model (C3) with a weight of 0.144. Meanwhile, team performance (C4) and financial stability (C5) have relatively lower weights of 0.105 and 0.046, respectively. These findings indicate that market and innovation aspects are the primary factors influencing startup investment feasibility. Furthermore, the VIKOR method is employed to rank the alternatives based on compromise solutions toward the ideal outcome. The results reveal that startup A17 has the lowest compromise value (Q = 0.0000), making it the most optimal investment alternative, followed by A4 (Q = 0.0303) and A19 (Q = 0.0586). This study demonstrates that the combination of AHP and VIKOR methods provides a comprehensive, objective, and consistent analysis in the decision-making process for digital startup investments. The proposed approach assists investors in evaluating startups more systematically and accurately based on the priority of relevant criteria in the context of the dynamic digital economy. Therefore, a decision support system based on the AHP-VIKOR method can serve as an effective solution for decision-makers to identify and select the most promising startups for future development.
Co-Authors Ahmad Fahrijal Pukeng Ahmad Rofiq Hakim Aldy Rivaldo Aldy Septian Derry Amelia Yusnita Amelia Yusnita Ammar Ibnu Arif Azahari Christianus Pakembongan Dicky Rifaldi Ekawati, Hanifah Evander Yose Gultom Fadillah Candrika Pratama Helda Priscila Ita Arfyanti Ita Arfyanti Laramitha Maulana Bakti Meilinda Wulandari Muhamad Almazazi Metekohy Muhammad Ibnu Sa’ad Muhammad Sirajul Amin Mubarak Nizar Kharismi Nurhuda, Asep Pahrudin, Pajar Pitrasacha Adytia Ramadhani Suciansyah Ramadhani Suciansyah Reza Andrea Rizki Galang Rahmadani Rizky Meizal Saputra Romanus Kristian Salmon Salmon Sony Darmawan Sunarto Syafriadi Meidianta Syamsuddin Mallala Uleh Lod Yohanes Rombe Paran Yunita Yunita