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Jurnal Penelitian Teknologi Informasi dan Sains
Published by INSTITUT TEKNOLOGI DAN BISNIS SEMARANG
ISSN : 29856280     EISSN : 29857635     DOI : 10.54066
Core Subject : Science,
Computer Science & IT
Ruang lingkup meliputi bidang Informatika, Teknik Mesin, Teknik Elektro,Teknik Sipil, Teknik Industri, Ilmu Komputer dan Sains.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 138 Documents
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Perbandingan Algoritma K-Nearest Neighbors dan Naïve Bayes dalam Penentuan Penerima Bantuan di Desa Banyuputih Kidul Thoriq Wahyu Hidayatullah; Ulya Anisatur Rosyidah; Nur Qodariyah Fitriyah
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 1 (2026): : JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i1.3733

Abstract

The distribution of social assistance represents a key government strategy to enhance the welfare of low-income communities. Nevertheless, its implementation frequently faces challenges related to inaccurate targeting, often caused by uneven data collection and subjective decision-making processes in identifying eligible beneficiaries. This study aims to compare the performance of the K-Nearest Neighbors (KNN) and Naïve Bayes algorithms in determining eligibility for social assistance recipients in Banyuputih Kidul Village. Both models were evaluated using a confusion matrix with performance indicators including accuracy, precision, recall, and F1-score. The findings reveal that the KNN algorithm outperformed Naïve Bayes in identifying recipients of the PKH social assistance program, achieving an evaluation score of 99%, compared to 86% for Naïve Bayes. These results indicate that KNN provides higher predictive reliability for eligibility classification. This research is expected to support the development of an objective, data-driven decision support system that can assist village governments in distributing social assistance more accurately and transparently.
Evaluasi Capability Level Tata Kelola TI Berbasis COBIT 2019 untuk Mendukung Transformasi Digital Perguruan Tinggi Amalia, Rifka Dwi; Krisnanik, Erly; Kraugusteeliana
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 2 (2026): Juni: JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i2.3859

Abstract

The increasing role of information technology in higher education requires IT governance practices that are measurable, structured, and aligned with digital transformation objectives. Many higher education institutions have implemented various information systems to support academic, administrative, and managerial services; however, the existence of technology does not automatically ensure that IT processes are governed effectively. This study aims to evaluate the Capability level of IT governance using the COBIT 2019 framework in the context of a state university in Indonesia. A descriptive case study approach was applied through structured interviews, document analysis, and observation of IT governance practices. The evaluation focused on eleven Governance and Management Objectives across the EDM, APO, BAI, DSS, and MEA domains. The results show that most objectives are at Capability Level 1 (Performed), while only BAI01, BAI03, and DSS02 have reached Capability Level 2 (Managed). No evaluated objective has reached Level 3 (Established). The gap analysis indicates that the highest gaps are found in EDM03, APO12, and APO13, which relate to risk optimization, risk management, and security governance. These findings indicate that IT governance practices have been implemented but still require stronger formal policies, standardized procedures, documented controls, and integrated monitoring mechanisms. The study provides practical recommendations for improving IT governance through risk appetite definition, risk register development, information security policy, enterprise architecture blueprint, service level agreement implementation, and performance monitoring to support sustainable digital transformation in higher education.
Evaluasi Usability Aplikasi E Commerce UMKM menggunakan Metode System Usability Scale (SUS) Afifah Chesa Luckytalia
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 2 (2026): Juni: JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i2.3923

Abstract

Micro, Small, and Medium Enterprises (MSMEs) increasingly rely on e-commerce applications to enhance business performance and broaden market access. Nevertheless, the effectiveness of such applications is strongly determined by their usability, which reflects how easily users can interact with the system. This study aims to evaluate the usability of an MSME e-commerce application using the System Usability Scale (SUS) method. A quantitative descriptive approach was applied by distributing SUS questionnaires to 30 respondents who had previously used the application. The instrument consisted of 10 standard SUS statements measured using a five-point Likert scale. Data were analyzed by calculating individual SUS scores and determining the overall average score. Based on the randomized respondent data, the application achieved an average SUS score of 80,25. This score is categorized as Excellent and acceptable. These findings indicate that the MSME e-commerce application has a very good usability level and is well accepted by users. Therefore, the application has strong potential to support MSME digitalization and improve online transaction effectiveness.
Implementasi Software Quality Assurance pada Aplikasi E-Commerce Menggunakan Manual Testing dan Katalon Studio Fahmi Ardiansyah
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 2 (2026): Juni: JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i2.3925

Abstract

The reliability of an e-commerce application is essential to ensure smooth and secure user transactions. This study discusses the implementation of Software Quality Assurance (SQA) on a web-based e-commerce application to test the functionality of the developed system. The testing methodology used in this research combines manual testing and automated testing using the Katalon Studio tool, following the Software Testing Life Cycle (STLC) framework. Manual testing was focused on validating the user interface and user experience across core workflows, including user registration, authentication, cart management, and the checkout process. Meanwhile, Katalon Studio was utilized to execute automated test scenarios on these crucial features to accelerate regression testing and ensure system stability. The results indicate that from 42 test cases executed, the SQA approach successfully identified five functional defects across three modules, categorized by severity into two High-level defects (server error on registration and missing error handling on checkout), two Medium-level defects (client-side-only address validation and cart quantity logic), and one Low-level defect (insufficient logout notification display time). Four of the five defects were resolved, raising the test pass rate from 90.5% to 97.6% during regression testing. Automated testing demonstrated a significant time efficiency of approximately 95% compared to manual execution for regression scenarios. In conclusion, the combination of manual and automated testing proved capable of thoroughly verifying software quality, ensuring that the SQA Shop application functions according to the required specifications before its release to end-users.
Implementasi Early Warning System Berbasis Machine Learning Untuk Deteksi Pola Aktivitas Anomali Server Linux Berdasarkan Log Sistem Operasi Mochamat Bayu Aji; Angger Binuko Paksi; Bintang Raka Putra; Tiyan Ganang Wicaksono
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 2 (2026): Juni: JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i2.3929

Abstract

The increase in activity and security threats on Ubuntu server causes the volume of system logs to become very large and difficult to analyze manually. This condition potentially leads administrators to experience delays in detecting abnormal activities, such as repeated login attempts and web access patterns related to online gambling promotions. Therefore, this research aims to develop a machine learning-based Early Warning System capable of automatically detecting anomalous activities. The system is developed using the Python programming language and runs on an Ubuntu server by utilizing authentication logs and web access logs as the main data sources. The anomaly detection model is trained using normal activity data collected directly from the Ubuntu server logs to learn standard system behavior patterns. During the operational phase, the system reads server logs in real-time, extracts activity features, and analyzes them using the Isolation Forest algorithm. Activities detected as anomalies trigger alert notifications via Telegram to the administrator without performing automatic blocking. The results show that the system is able to provide early warnings for suspicious activities, thereby helping to improve server security more effectively.
Peran Business Intelligence dalam Meningkatkan Efektivitas Operasional dan Kinerja Perusahaan Achmad Solechan
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 1 (2026): : JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i1.3949

Abstract

This study explores the role of Business Intelligence (BI) in improving operational effectiveness and company performance amid rapid digital transformation, big data, Artificial Intelligence (AI), and data analytics development. Using a Narrative Literature Review (NLR) approach, this study analyzed 48 national and international scientific articles related to BI, firm performance, digital transformation, and big data analytics. The findings reveal that BI positively influences decision-making quality, operational efficiency, organizational agility, innovation capability, marketing effectiveness, customer relationship management, and competitive advantage. Furthermore, integrating BI with Big Data Analytics, predictive analytics, machine learning, and AI enhances organizational responsiveness to dynamic business environments. The study also identifies key success factors for BI implementation, including organizational readiness, management support, technological infrastructure, information quality, and system integration. These findings indicate that BI has evolved from a technological tool into a strategic organizational capability that supports sustainable business performance and digital transformation. This study contributes to the Business Intelligence literature by providing a comprehensive understanding of BI’s strategic role across various industries and organizational contexts.
Peninigkatan Akurasi Prediksi Pembayaran Pajak Kendaraan menggunakan Algoritma Random Forest dengan Pendekatan Cyclical Encoding dan Lagged Variables Himawan Wicaksono; Eka Ardhianto
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 2 (2026): Juni: JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i2.3998

Abstract

Motor Vehicle Tax (PKB) is a key pillar of Regional Original Revenue (PAD) that supports development funding. However, seasonal fluctuations in payment realization create uncertainties in local budget planning. This study aims to address the limitations of the standard Random Forestalgorithm, which suffers from extreme prediction failures on time-series data due to its inability to capture temporal transitions between months. The proposed solution implements feature engineering using a Cyclical Encoding approach (Sine and Cosine transformations) and Lagged Variables. The dataset comprises historical records of motor vehicle tax potential and realization from January 2021 to November 2025. The baseline model evaluation without feature engineering yields highly inaccurate predictions with a Mean Absolute Percentage Error (MAPE) of 203.47% (accuracy of -103.47%). Conversely, after integrating Cyclical Encoding and Lagged Variables, the proposed model's performance improves drastically, achieving a MAPE of 14.40% (an accuracy rate of 85.60%), an MAE of 9,317 units, and an RMSE of 12,638 units. Feature Importance analysis confirms that the cyclically encoded month feature contributes the highest weight to the model's decisions with a score of 0.5031, followed by the potential feature at 0.1798. This study demonstrates that time-based feature engineering effectively optimizes Random Forestfor precise tax revenue forecasting.
Penerapan Metode EUCS dalam Evaluasi Sistem CSMS pada PT Jaya Abadi Kontrindo Steven Tan; Dicky Pratama
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 2 (2026): Juni: JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i2.4058

Abstract

This study aims to evaluate user satisfaction with the Customer Service Management System (CSMS) at PT Jaya Abadi Kontrindo using the End User Computing Satisfaction (EUCS) method. The CSMS is utilized to support various operational activities, such as purchase requests, payment requests, accounts receivable management, sales order rescheduling, and digital report generation. However, the system still faces several issues, including suboptimal response time, lack of user guidance, and the absence of a specific evaluation of user satisfaction. This study employs a qualitative approach by distributing questionnaires to 50 CSMS users using purposive sampling. The instrument was developed based on the five EUCS dimensions, namely content, accuracy, format, ease of use, and timeliness. The collected data were analyzed using validity testing, reliability testing, mean-based descriptive analysis, and Spearman correlation analysis. The results show that all questionnaire items are valid and reliable. In addition, all EUCS dimensions fall into the satisfied category, with the highest score in ease of use and the lowest in content. The Spearman correlation results also indicate that all EUCS dimensions have a significant relationship with user satisfaction.
Pengukuran Tingkat Capability Level Domain Apo12 (Managed Risk) dan Apo13 (Managed Security) Berdasarkan Framework COBIT 2019 Anggy Julia Wulandari; Febi Nur Salisah
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 2 (2026): Juni: JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i2.4070

Abstract

This study aims to measure the information technology governance capability level at SLB Cendana Rumbai using the COBIT 2019 framework. The study was conducted due to several issues in information technology management, including the absence of structured risk management, the lack of Standard Operating Procedures (SOPs) related to information security, the absence of periodic data backup and recovery mechanisms, and irregular monitoring of system security. This study focuses on the APO12 (Managed Risk) and APO13 (Managed Security) domains, which were selected based on design factor results as the main priorities for information technology management in the school. The research methods employed include observation, interviews, documentation, and questionnaire distribution to relevant stakeholders. The capability level measurement was carried out to determine the current condition of information technology governance (current capability), identify gaps between the current and expected levels, and formulate improvement recommendations. The results indicate that risk management and information security at SLB Cendana Rumbai still require improvement to become more effective, structured, and well-directed. Therefore, improvement recommendations were proposed as guidelines to enhance the quality of information technology governance in supporting the school’s operational activities optimally.
Pengaruh Pengelolaan Konten Instagram @Lakespra Terhadap Respon Audiens Viosela Meytriana Situmorang; Burhanuddin Burhanuddin
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 2 (2026): Juni: JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i2.4073

Abstract

The development of digital communication technology has encouraged health institutions to utilize social media as a medium for health promotion and information dissemination. This study aims to analyze the effect of Instagram content management on audience responses at Lakespra dr. Saryanto. The research used a quantitative approach with a survey method involving 60 respondents selected from members of Lakespra dr. Saryanto. Data were collected through questionnaires distributed online and analyzed using validity tests, reliability tests, descriptive statistics, and simple linear regression with IBM SPSS Statistics. The results showed that all questionnaire items were valid and reliable, with Cronbach’s Alpha values of 0.951 for the content management variable and 0.934 for the audience response variable. The regression analysis indicated that Instagram content management had a significant effect on audience responses, with a significance value of 0.000 and an F value of 184.783. The coefficient of determination showed that Instagram content management contributed 76.1% to audience responses, including engagement, understanding of health information, and interest in health services. The findings indicate that visually attractive, informative, and consistent Instagram content can improve audience interaction and support digital health communication effectively.

Page 11 of 14 | Total Record : 138

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