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Jurnal Penelitian Sistem Informasi
Published by INSTITUT TEKNOLOGI DAN BISNIS SEMARANG
ISSN : 29856310     EISSN : 29857759     DOI : 10.54066
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Sistem Pendukung Keputusan (DSS), Sistem Informasi Geografi (GIS), Perusahaan Skala Sistem Informasi (ERP, EAI, CRM, SCM), E-Commerce, E-Government, Sistem Informasi dari Rumah Sakit, Sistem Informasi Perbankan, Sistem Informasi Industri, Pengambilan Informasi, Keamanan Sistem Informasi, Sistem Informasi Berbasis Web, Sistem Berbasis Pengetahuan, Komputasi Bergerak, Penambangan Data, Basis Data, Gudang Data, Gudang Data, Mutimedia.
Arjuna Subject : Ilmu Pengambilan Keputusan (semua kategori) - Sistem Informasi dan Manajemen
Articles 153 Documents
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Analisa Transaksi Penjualan Menu Makanan pada Warung Makan Menggunakan Algoritma Apriori Wulan Dari; Raden Aris Sugianto; Anton Purnama
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 3 No. 1 (2025): JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v3i1.3050

Abstract

The increasingly rapid development of the culinary sector makes commercial competition in this field increasingly fierce. Food stalls serve a variety of menus and drinks, but stall owners need to strive to create product innovations in order to provide satisfactory service to customers. Under these conditions, a computer technician is needed to find out recommendations for food stall menus. The analysis method used is a data mining technique with the Apriori algorithm, where this algorithm is used to identify the data sets that appear most frequently (frequent itemset). The research results show that the highest support and confidence values ​​are Ayam Penyet and Fried Rice with 50% support and confidence values 76%. This can be a combination of menus suggested from data that has been collected and applied according to an a priori algorithm which is expected to be used to evaluate service and possibly increase guest satisfaction so that the Food Stall can develop more quickly.
Rancang Bangun Sistem Pembayaran SPP Berbasis Web dengan Metode Waterfall pada SMK Swasta Parulian 2 Medan Elisabet Ndruru; Cut Try Utari; Taufik Ismail Simanjuntak
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 3 No. 1 (2025): JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v3i1.3340

Abstract

Information technology is used in the data processing process which includes processing, obtaining data, compiling data, storing data and manipulating data in various ways so as to present qulity information, namely information that is accurate, relevant and timely. One example of a field that has benefit greatly from the development of science and information technology is the field of education. There are quite a lot of benefits from using information and communication technology in the word of education, both for teaching and learning purposesand for school administration management purposes. Website based school administration payment information system to provide effective and efficient solutions to overcome school payment management problems. This research aims to build applications for students and financial departemens in the digital payment process at school. By using this applications, it is hoped that the tuition payment process can be carried out quickly, accurately and safely. The research method applied in this thesis is to use the waterfall method, which is software development that uses sequential and systematic stages, such as a waterfall flowing from top to buttom. The conclusion is that admin (administration), school principals, and students can log in to the website using their respective usernames and passwords provided by the admin.
Analisis Sentimen Ulasan Aplikasi Gojek Menggunakan Metode Random Forest dan K-Means Clustering Nabeel Fazle Mawla Buntaran; Safrizal Safrizal
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 2 (2026): Mei: JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i2.3792

Abstract

This study aims to examine user opinion tendencies toward Gojek services by integrating Random Forest and K-Means Clustering approaches. The dataset consists of 15,000 user reviews collected throughout 2025 using web scraping techniques. The initial stage focuses on data preprocessing, including text cleaning, case normalization, tokenization, removal of non-informative stop words, and lemmatization to restore words to their base forms. Subsequently, sentiment labels are assigned using a lexicon-based approach. The next phase involves classification modeling through Random Forest to identify sentiment tendencies, while K-Means Clustering is employed to uncover latent patterns within the opinion data. The findings indicate that the Random Forest model achieves an accuracy level of 0.878, demonstrating strong performance in distinguishing positive and negative sentiments, as reflected by f1-scores of 0.932 and 0.818, respectively. However, the model shows limitations in consistently identifying neutral sentiment. In contrast, the implementation of K-Means Clustering successfully categorizes the data into three primary clusters, providing a more structured representation of user opinion characteristics. Overall, these results offer empirical insights that can serve as a strategic reference for enhancing the quality of Gojek’s service delivery.
Efektivitas Aplikasi e-SIDAK dalam Penilaian Kinerja PNS di BKPSDM Kabupaten Belitung Risnu Pratama; Ardieansyah, Ardieansyah; Agung Nurrahman
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 2 (2026): Mei: JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i2.3832

Abstract

This study aims to analyze the effectiveness of the e-SIDAK application as a tool for recording and evaluating the performance of civil servants at BKPSDM Belitung Regency. The research employs a descriptive qualitative approach with 12 purposively selected informants, including managers, administrators, and application users. Data were collected through semi-structured interviews, observations, and documentation, and analyzed thematically using NVivo 12 Pro based on the digital service effectiveness indicators proposed by Pedrosa et al., namely ease of use, simplicity, understandability, consistency, trustworthiness, availability, speed, and usefulness. The findings indicate that the e-SIDAK application fulfills most effectiveness indicators, particularly in terms of ease of use, process simplicity, clarity of information, interface consistency, and service usefulness. The application facilitates systematic work activity recording, simplifies reporting, improves employee discipline, and supports performance monitoring integrated with the employee performance allowance system. However, its effectiveness remains limited in terms of system reliability, service availability, and access speed due to server capacity constraints, network conditions, and the accumulation of data input at the end of reporting periods. In addition, the point-based evaluation system has not fully reflected task duration, complexity, and workload. This study recommends strengthening system infrastructure, developing user guidelines, regulating input timing, and improving the point-based evaluation system to enhance digital service effectiveness in local government institutions.
Difusi Inovasi Layanan Administrasi Kependudukan Digital di Wilayah Kepulauan: Studi pada SIMPEL-DUKCAPIL Kabupaten Bengkalis Alwan Syarofi; Ardieansyah, Ardieansyah
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 2 (2026): Mei: JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i2.3834

Abstract

This study aims to analyze the diffusion of the SIMPEL-DUKCAPIL innovation in population administration services in Bengkalis Regency. The study employs a descriptive qualitative approach using Everett M. Rogers’ diffusion of innovation theory, which includes five attributes: relative advantage, compatibility, complexity, trialability, and observability. Data were collected through interviews, observation, documentation, and triangulation involving 19 informants consisting of officials from the Population and Civil Registration Office and service users. Data analysis was conducted using the Miles and Huberman interactive model, including data reduction, data display, and conclusion drawing. The results show that SIMPEL-DUKCAPIL provides relative advantages in improving time efficiency, cost savings, and service accessibility, particularly for communities in archipelagic areas. The data indicate 2,311 application users in 2025 with unequal distribution across sub-districts, along with 107 blank spot areas that hinder digital service access. The compatibility and observability dimensions are relatively strong, as the application aligns with service needs and its benefits are directly perceived by users. However, the adoption process remains suboptimal due to challenges in complexity and trialability, including low digital literacy, limited internet infrastructure, technical system issues, and user preference for face-to-face services. This study highlights that innovation diffusion in archipelagic regions is not solely determined by application quality, but also by infrastructure readiness, socialization strategies, and community digital capabilities.
Model Sistem Dinamik untuk Menganalisis Rasio Biaya terhadap Pendapatan Akibat Implementasi Teknologi pada Usaha Tambak Sefi Ayu Nirmalasari; Putri Amelia
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 2 (2026): Mei: JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i2.3837

Abstract

The fish pond farming sector plays a vital role in supporting the local economy; however, fish pond farmers’ incomes remain highly volatile due to fluctuations in production, operational costs, and water quality. This study aims to analyze the income dynamics of milkfish pond farmers and examine the impact of technology adoption on income growth. The method used is System Dynamics, involving the creation of a Causal Loop Diagram (CLD) and a Stock and Flow Diagram, simulated using STELLA software. Data were obtained through observation, interviews, and literature review. The results indicate that water quality and fish mortality rates significantly affect production and income. The application of technology helps maintain water quality, thereby stabilizing production. Additionally, the use of alternative energy sources such as solar panels can reduce operational costs. Simulation results indicate that the combination of technology and energy efficiency yields a more optimal increase in profits compared to the initial conditions. This study demonstrates that the application of technology can enhance the income of milkfish pond farmers in a more effective and sustainable manner.
Analisis Big Data Perpajakan untuk Mendeteksi Potensi Kecurangan Pelaporan Pajak Febryawan Yuda Pratama; Angga Rahmat Pinanggih; Yessica Fara Desvia; Nina Mardiana; Aura Mutiara Zahra
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 2 (2026): Mei: JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i2.3877

Abstract

Tax administrations are undergoing a fundamental transition from conventional audit practices based on manual inspection and limited sampling toward data-driven supervision supported by big data analytics, artificial intelligence, and digital transaction infrastructures. However, developing economies, particularly in Southeast Asia, continue to face structural constraints such as fragmented legacy systems, informal economic activities, uneven digital literacy, corruption risks, weak data interoperability, and evolving privacy regulations. This study aims to develop a contextual framework for detecting potential tax-reporting fraud by integrating big data tax analytics, localized machine learning, explainable artificial intelligence, blockchain-enabled value-added tax data integrity, and socio-organizational governance. The study adopts a mixed-method sequential explanatory approach combined with Design Science Research. The methodological design integrates policy and institutional analysis, machine learning model design, and socio-organizational validation using secondary literature, Southeast Asian case studies, regulatory review, and simulated data architecture. The main contribution of this study is the Contextual Tax Analytics with AI and Blockchain Framework, or C-TAX-AIB Framework, consisting of three interrelated layers: Data Layer, Analytics Layer, and Governance and Human Layer. The Data Layer proposes a hybrid blockchain architecture for e-Faktur and value-added tax reporting integrity; the Analytics Layer introduces localized machine learning and explainable AI to support transparent risk scoring and anomaly detection; and the Governance and Human Layer embeds privacy protection, taxpayer digital literacy, auditor readiness, and trust-building mechanisms. The framework advances prior studies by moving beyond algorithmic fraud detection toward an integrated governance model suitable for developing economies. The study provides theoretical implications for public finance analytics and practical guidance for ASEAN tax administrations in designing accountable, explainable, and context-sensitive digital tax systems.
Integrasi ISO 27001, Zero Trust, dan AI untuk Keamanan Sistem Informasi Keuangan Kampus Nina Mardiana; Yessica Fara Desvia; Angga Rahmat Pinanggih; Febryawan Yuda Pratama; Farah Diva Fadila
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 2 (2026): Mei: JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i2.3879

Abstract

Financial information systems in higher education institutions manage highly sensitive assets, including tuition payments, scholarships, payroll, vendor transactions, budgeting, and institutional financial reporting. Although ISO/IEC 27001:2022 provides a risk-based foundation for establishing an Information Security Management System, its implementation in universities is frequently constrained by fragmented governance, limited resources, complex asset environments, inconsistent managerial commitment, cultural resistance, and limited real-time monitoring capability. This study aims to develop an integrated security evaluation model for campus financial information systems by combining ISO/IEC 27001:2022, Zero Trust Architecture, AI-driven threat detection, security maturity assessment, and human-factor analysis. The study adopts a mixed-method sequential explanatory design integrated with Design Science Research. Quantitative stages include asset identification, risk scoring, ISO 27001 control gap analysis, maturity assessment, Zero Trust readiness assessment, and AI-driven detection readiness assessment. Qualitative stages include document analysis, semi-structured interviews, observation, expert judgment, and thematic analysis to examine organizational, cultural, and behavioral factors influencing security control effectiveness. The proposed outcome is the HEFIS-ISMS Model, an integrated framework consisting of seven layers: ISO 27001 control compliance, risk-based asset protection, security maturity, human and organizational factors, Zero Trust readiness, AI-driven detection readiness, and improvement roadmap. The model is expected to address the static and compliance-oriented limitations of conventional ISO 27001 assessments by introducing adaptive access control, continuous monitoring, anomaly detection readiness, and phased implementation guidance. The study contributes theoretically to cybersecurity governance in higher education and practically to risk-prioritized security improvement for resource-constrained universities.
Pengembangan Sistem Keamanan Data Berbasis Blockchain untuk Perlindungan Informasi Sensitif di Sektor Keuangan Angga Rahmat Pinanggih; Nina Mardiana; Febryawan Yuda Pratama; Yessica Fara Desvia; Arman Maulana
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 2 (2026): Mei: JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i2.3880

Abstract

The protection of sensitive information in the financial sector requires a security architecture capable of preserving confidentiality, integrity, availability, auditability, and regulatory accountability across multiple institutions. Conventional centralized security models remain vulnerable to single points of failure, unauthorized access, data manipulation, and limited transparency in inter-organizational data sharing. Blockchain offers tamper-resistant records, decentralized trust, and verifiable audit trails; however, its direct implementation in financial systems is constrained by scalability limitations, smart contract vulnerabilities, privacy leakage, and conflicts between immutable ledgers and data protection principles. This study aims to develop a blockchain-based data security system for protecting sensitive financial information by integrating permissioned blockchain and Zero-Knowledge Proofs. The proposed method adopts a consortium-oriented permissioned blockchain architecture, represented by Hyperledger Fabric, to ensure controlled participation, certificate-based identity management, endorsement policies, and auditable transaction validation. Smart contracts are designed as policy-enforcement components for consent management, access authorization, data commitment, revocation, and audit logging. Zero-Knowledge Proofs are incorporated to verify customer attributes, eligibility, and access rights without disclosing raw personal or financial data. Sensitive information is stored off-chain in encrypted form, while the blockchain records only cryptographic commitments, hashes, consent states, and audit events. The expected result is a security model that improves data integrity, controlled access, privacy-preserving verification, and compliance-oriented accountability while reducing unnecessary exposure of sensitive data on-chain. The implication of this research is the provision of a technically coherent framework for financial institutions seeking to adopt blockchain securely in regulated environments, especially where data confidentiality, auditability, and privacy compliance must be achieved simultaneously.
Geospatial Modeling of Megathrust Earthquake Hazards in Southern Java, Indonesia using GIS-Based Weighted Overlay Analysis Aditya Dimas Dewanto; Noviyanti Riendrasiwi
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 2 (2026): Mei: JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i2.3888

Abstract

Megathrust earthquakes occurring along subduction zones pose significant natural hazards, particularly in tectonically active regions such as Indonesia. The southern coast of Java is highly vulnerable due to its proximity to the Sunda megathrust, which has the potential to generate large-magnitude earthquakes and associated risks. This study aims to develop a GIS-based model to assess megathrust earthquake hazards in Southern Java, Indonesia. A quantitative geospatial approach was employed by integrating Geographic Information Systems (GIS) with a Multi-Criteria Decision Analysis framework using weighted overlay analysis. Several spatial parameters, including seismic activity, distance to the subduction zone, geological structure, and elevation, were processed and standardized before being combined into a composite hazard index. The results indicate a clear spatial pattern, where high hazard zones are concentrated in coastal and offshore areas near the subduction interface, while inland regions exhibit lower hazard levels. This spatial distribution reflects the influence of tectonic proximity on hazard intensity. The study demonstrates that GIS-based weighted overlay analysis is effective in integrating multiple hazard indicators into a unified spatial model. The resulting hazard map provides valuable insights for disaster risk reduction, spatial planning, and preparedness strategies in megathrust-prone areas. This research also contributes to the advancement of geospatial modeling frameworks for earthquake hazard assessment, particularly in regions with similar tectonic characteristics.

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