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Development of a CNN Application for Black Mold Detection with Management Information System Nur Aisah; Supriyati Supriyati; Rizki Dwi Sya’bana Nugraha; Rizka Dwi Putri Ningsih; Rhadith Eka Erlangga Shaputra; Abdul Malik Febrian Zulkifli; Ramadhan Syaeful Bahri
@is The Best : Accounting Information Systems and Information Technology Business Enterprise Vol 10 No 1 (2025): @is The Best : Accounting Information Systems and Information Technology Busines
Publisher : Labkat Press KA FTIK UNIKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/aisthebest.v10i1.17909

Abstract

Black mold growing on damp indoor surfaces produces harmful mycotoxins that pose serious health risks, yet conventional laboratory-based identification remains slow, costly, and largely inaccessible for rural communities. This study aims to develop Peka Toksin, an Android-based mobile system that integrates a Convolutional Neural Network (CNN) with a Management Information System (MIS) to support real-time, community-level early detection of black mold. The classifier was built using transfer learning on the MobileNetV2 architecture, trained on a combined dataset of 10,537 labeled images (7,642 black-mold and 2,895 non-black-mold) obtained through field documentation during a community service program in Pamekaran Village, West Bandung Regency, supplemented with publicly available mold-image collections, and split into 7,569 training and 2,968 validation images. The application itself was developed using the Waterfall model, covering analysis, design, implementation, testing, and maintenance. Evaluation on the validation set showed an overall accuracy of 88%, with precision of 0.81, recall of 0.99, and F1-score of 0.89 for the Black Mold class, and precision of 0.98, recall of 0.76, and F1-score of 0.86 for the Non-Black Mold class, indicating high sensitivity to black mold with a tendency toward false positives. Beyond classification, Peka Toksin provides a detection-history feature and an action guide to support ongoing monitoring and decision-making. These results indicate that Peka Toksin can serve as an accessible, low-cost early-warning tool for black mold exposure, while its MIS component enables structured data management to support future village-level public-health surveillance.
A Technopreneurship FrameworkBased on Accounting Information Systems and Machine Learning To Improve the Competitive Advantage of MSMEs Dony Waluya Firdaus; Eddy Soeryanto Soegoto; Tri Utomo Wiganarto
@is The Best : Accounting Information Systems and Information Technology Business Enterprise Vol 11 No 1 (2026): @is The Best : Accounting Information Systems and Information Technology Busines
Publisher : Labkat Press KA FTIK UNIKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/aisthebest.v11i1.20458

Abstract

Micro, small and medium sized enterprises (MSMEs) play a strategic economic role but face challenges due to limited resources, digital skills, disorganized data and tactical decision-making. The literature regarding technology adoption, entrepreneurial orientation, sustainability and competitive advantage is still fragmented. This is despite the fact that technologies like predictive analytics offer a number of benefits in artificial intelligence (AI) and machine learning (ML). This study proposes an Accounting Information Systems (AIS) and ML-based technopreneurship framework to enhance MSMEs' Sustainable Competitive Advantage. Following PRISMA guidelines using Scopus, a systematic literature review screened 2,578 records, resulting in 69 eligible articles from January 2022-May 2026. Findings reveals three primary issue clusters for MSMEs, these are capacities and resources, digitalisation paradox and Institutional and Environmental Factors. In the conceptual framework offered, the internal and external antecedents are placed as enabling conditions. AI is treated as the data foundation, ML-based predictive analytics is treated as the analytical competence, and AI-ML-based technopreneurship is treated as the primary mechanism for value creation. We propose Business Model Innovation, Organisational Agility, Digital Absorptive Capacity, and Dynamic Competencies as mediating ways through which the competencies can contribute to Sustainable Competitive Advantage and Sustainable Performance. This study contributes to the literature in three ways: theoretical (by incorporating the Technology Organization Environment framework, Resource-Based View, and Dynamic Capabilities View), methodological (by combining a PRISMA-guided SLR with the development of a partial eDSR-oriented framework), and practical (by providing a structured roadmap for the data-driven transformation of MSMEs).
PERANCANGAN UI/UX SISTEM INFORMASI CERDAS UNTUK MONITORING PERTUMBUHAN DAN PREDIKSI PANEN MANGGA BERBASIS WEB: UI/UX Design of an Intelligent Information System for Web-Based Mango Growth Monitoring and Harvest Prediction Dian Pramadhana; Darsih; Riyan Farismana
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8229

Abstract

Mango is one of Indonesia's leading horticultural commodities with high economic value and significant potential to support the productivity of the agricultural sector. However, monitoring plant growth, recording plant development, and scheduling harvest activities in most mango plantations are still carried out manually, resulting in fragmented information and increasing the risk of inaccurate harvest timing. This study aims to design the User Interface (UI) and User Experience (UX) of a web-based Intelligent Information System for Mango Growth Monitoring and Harvest Prediction using the Design Thinking method. The proposed method consists of five stages, namely Empathize, Define, Ideate, Prototype, and Testing, which emphasize a user-centered approach to developing an intuitive and user-friendly interface. The results of this study produced a web-based prototype consisting of five main interfaces: Dashboard, Plant Monitoring, Harvest Prediction, Harvest Calendar, and Reports. Each interface was designed to support plant growth monitoring, harvest prediction, harvest schedule management, and integrated reporting of harvest activities. The proposed UI/UX design is expected to serve as a reference for developing a more effective mango monitoring and harvest prediction information system, improve system usability, and support decision-making in mango plantation management.
PENERAPAN K-MEDOIDS PADA SISTEM INFORMASI PENGELOMPOKAN KASUS PERCERAIAN DI PENGADILAN AGAMA SIMALUNGUN: APPLICATION OF K-MEDOIDS IN THE INFORMATION SYSTEM FOR CLUSTERING DIVORCE CASES IN THE SIMALUNGUN RELIGIOUS COURT citra ramadhani; Amanda Putri Amanda Putri
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8326

Abstract

The increasing number of divorce cases at the Simalungun Religious Court has resulted in a growing volume of case data. However, the existing Case Tracking Information System (SIPP) is primarily used for administrative purposes and does not support the analysis of divorce case patterns. This study aims to implement the K-Medoids algorithm in a web-based information system to cluster divorce cases and present the analysis results visually. The study used 2,232 divorce case records from 2024–2025, consisting of case type, age, district, occupation, education, reason for divorce, and case year. The research stages included data preprocessing, Label Encoding, Min-Max Scaling, clustering using the K-Medoids algorithm, and cluster quality evaluation using the Davies-Bouldin Index (DBI). The results showed that the optimal number of clusters was K=3 with the lowest DBI value of 1.249, while the clustering evaluation produced a DBI value of 1.378. The analysis indicated that all clusters were dominated by the factor of continuous disputes and conflicts, with Cluster 2 containing the largest number of cases. The developed system is capable of presenting cluster visualizations, cluster characteristic analyses, and clustering reports to support data-driven decision-making at the Simalungun Religious Court.  
DESIGN OF A DIGITALIZED INDEPENDENT WASTE BANK INFORMATION SYSTEM USING GOOGLE APPS SCRIPT WITH AN INTEGRATED INPUT GATEWAY AND LIVE CALCULATOR Fery Andika Kurniawan
INKOFAR Vol. 10 No. 1 (2026)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Conventional waste bank management often faces challenges regarding transaction data recording accuracy, the risk of incorrect resident ID entry, and delays in updating savings balance information. This research aims to design and implement a digitized, web-based independent waste bank information system using Google Apps Script (GAS), Google Sheets as the database, and Bootstrap for the user interface. The design methodology focuses on minimizing human error by implementing a "Resident ID Master Input" feature (Single Input Gate) that integrates and locks transaction data, alongside a "Live Calculator" for real-time Rupiah value simulations based on pricing data from the *Harga_Komoditas* (Commodity Prices) sheet. Testing results demonstrate that the system successfully eliminates ID input errors across transaction modules (Waste Deposit and Cash Withdrawal), presents transaction history in reverse-chronological order (newest first) with precise timestamps, and displays resident financial data instantly without synchronization delays.
OUTPATIENT PATIENT SATISFACTION WITH MEDICATION INFORMATION SERVICES AT X PRIMARY INPATIENT CLINIC BASED ON MINISTER OF HEALTH REGULATION NO. 34 OF 2021 Putri Ade Fitriani; Tisa Amalia; Ayu Izzatin Haifa
INKOFAR Vol. 10 No. 1 (2026)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background Drug information services are a critical component of pharmaceutical care, ensuring patient safety and therapeutic adherence. However, suboptimal delivery of drug information remains a challenge in primary health facilities, potentially leading to patient non-compliance and increased risk of adverse drug reactions. Purpose This study aims to determine the level of outpatient satisfaction with drug information services at Klinik Pratama Rawat Inap X based on Regulation of the Minister of Health Number 34 of 2021 concerning Pharmaceutical Service Standards in Clinics. Methodology A descriptive quantitative method with a cross-sectional approach was employed. Data were collected through a validated nine-item questionnaire distributed to 98 outpatients selected using the Slovin formula. Data analysis used Likert scale (1-5) with percentage calculation and categorized into five satisfaction levels.. Findings The overall satisfaction rate was 69% (satisfied category). The highest score was for drug benefit information (85%, very satisfied), while the lowest was for drug storage information (69%, satisfied). Three mandatory information items, side effects (70%), precautions (70%), and storage (69%), were at the lower threshold of the satisfied category. The staff-to-patient ratio (1:85) exceeded the recommended standard (1:50), contributing to incomplete information delivery. Implications This study recommends strengthening regulatory compliance, increasing pharmaceutical staff capacity, and improving supervision of drug information services in primary health facilities to enhance patient satisfaction and therapeutic outcomes. Originality This research provides a comprehensive evaluation of outpatient satisfaction with drug information services specifically in a primary care clinic setting, using a multidimensional assessment aligned with national regulatory standards.
Evaluating Mobile Mathematics Learning Application Success Using the DeLone–McLean Information Systems Success Model Ferawati Ferawati; Lilis Stianingsih; Fiqih Hana Saputri; Rudi Setiyanto
Jurnal Info Sains : Informatika dan Sains Vol. 16 No. 02 (2026): Info sains, 2026
Publisher : SEAN Institute

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Abstract

This study evaluates the success of the Math World mobile mathematics learning application implemented at SKh YKDW Tangerang using the DeLone and McLean Information Systems Success Model. A quantitative descriptive approach was employed involving 25 special education teachers as respondents. Data were collected through a questionnaire measuring six dimensions of information system success: System Quality, Information Quality, Service Quality, System Use, User Satisfaction, and Net Benefits. The data were analyzed using descriptive statistics based on percentage scores. The results indicate that the overall success level of the application reached 78.9%, which falls into the Good category. Among the six dimensions, User Satisfaction obtained the highest score (82.9%), followed by Information Quality (82.4%), while System Use recorded the lowest score (74.1%). The findings suggest that teachers perceive the Math World application as easy to use, providing accurate and relevant learning content that supports mathematics instruction for students with intellectual disabilities. However, improvements are still needed in system reliability, technical support responsiveness, and the integration of the application into regular classroom practice to maximize its educational benefits. Overall, the study concludes that Math World is an effective learning application with considerable potential to support inclusive mathematics education.
Development of a Web-Based Geographic Information System for Mapping and Monitoring the Spatial Distribution of Dengue Hemorrhagic Fever (DHF) Cases in Manado City Christian Fendy Sumangkut; Mans L. Mananohas; Eric Alfonsius; Eliasta Ketaren
Jurnal Info Sains : Informatika dan Sains Vol. 16 No. 02 (2026): Info sains, 2026
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dengue Hemorrhagic Fever (DHF) remains a major public health concern in many regions of Indonesia, including Manado City. The spatial distribution of dengue cases is strongly influenced by environmental and geographical factors, highlighting the need for an information system capable of providing timely and accurate spatial data to support disease surveillance and control. This study aims to design and develop a web-based Geographic Information System (GIS) for mapping the spatial distribution of DHF cases in Manado City. The system was developed using the Waterfall software development model, which consists of the sequential phases of requirements analysis, system design, implementation, testing, and maintenance. The application was implemented using PHP as the programming language and MySQL as the database management system, while Leaflet.js and OpenStreetMap were utilized to provide interactive geospatial visualization based on GeoJSON data. The developed system enables users to visualize the spatial distribution of dengue cases through an interactive digital map, manage epidemiological data, and access statistical summaries via a web-based dashboard. Functional evaluation using Black Box Testing demonstrated that all major system functions operated correctly and fulfilled the specified requirements. The proposed GIS application provides an effective platform for spatial disease surveillance and supports evidence-based decision-making by public health authorities in planning and implementing dengue prevention and control strategies.
Improving the Quality of Financial Reports through Human Resources, Information Technology, Internal Controls, the Implementation of Government Accounting Standards, and Leadership Style: (Case Study on Regional Apparatus Organization of West Papua Province) Syarifuddin Syarifuddin; Marlina Malino; Stevanie Lusye Sahertian; Muhammad Arif Wiratama Fattah; Christine S.M. Marpaung; Yubelina Mamoribo
Advances in Economics & Financial Studies Vol. 4 No. 3 (2026): June - September
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/aefs.v4i3.1056

Abstract

Purpose: This study investigates the influence of human resource competency, information technology utilization, internal control systems, Government Accounting Standards implementation, and leadership style on the quality of financial reporting in Regional Apparatus Organizations of West Papua Province. Research Method: This study employed a quantitative descriptive design using primary data collected through structured questionnaires. Responses were measured using a five-point Likert scale ranging from strongly disagree to agree strongly. The data were converted into numerical values and analyzed using multiple linear regression to examine the relationships between the independent variables and financial reporting quality. Results and Discussion: The study involved 46 Regional Apparatus Organizations, with a total population of 184 respondents. The findings indicate that human resource competency, internal control systems, and Government Accounting Standards implementation positively affect financial reporting quality. However, information technology utilization and leadership style do not significantly affect the quality of financial reporting in West Papua Province. Implications: These findings provide empirical insights for policymakers and government institutions, particularly Regional Apparatus Organizations, in evaluating and improving government financial reporting quality. Originality: This study enriches the literature by providing empirical evidence regarding factors influencing government financial reporting quality in West Papua Province.
Financial Resilience of Indonesian SMEs Amid Economic Uncertainty: The Roles of Accounting Information Quality, Financial Management Capability, and Strategic Agility Muhammad Fajeri Siregar; Muhammad Hafis Akbar Nasution; Emi Uliyanty Boru Sidabutar; Veranda Panjaitan; Egy Juwita Tarigan
Golden Ratio of Data in Summary Vol. 6 No. 3 (2026): May - July
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grdis.v6i3.2464

Abstract

This study examines the financial resilience of Indonesian small and medium-sized enterprises amid economic uncertainty by focusing on the roles of accounting information quality, financial management capability, and strategic agility. The study aims to develop an integrated understanding of how these internal capabilities enable SMEs to anticipate financial pressures, maintain operational continuity, adapt resource allocation, and recover from disruption. A qualitative literature review method was employed by systematically identifying, selecting, comparing, and synthesizing peer-reviewed studies, publications, and institutional reports related to SME resilience, accounting information, financial management, strategic agility, digital transformation, and business sustainability. The findings indicate that accounting information quality functions as an early-warning and financial sensing mechanism by providing accurate, relevant, complete, and timely information for decision-making. Financial management capability translates such information into budgeting, liquidity control, working-capital management, debt evaluation, and risk mitigation. Strategic agility strengthens resilience by enabling rapid decisions, market adjustment, innovation, and resource reconfiguration. The study further finds that these three capabilities are complementary rather than independent. Financial resilience is strongest when reliable information, disciplined financial practices, and adaptive strategies operate simultaneously. The resulting framework contributes theoretically to dynamic capability and resource-based perspectives while offering practical guidance for SME owners, financial institutions, and policymakers.

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