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All Journal JUSIFO : Jurnal Sistem Informasi Sistemasi: Jurnal Sistem Informasi Jurnal Teknologi Sistem Informasi dan Aplikasi JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia Malcom: Indonesian Journal of Machine Learning and Computer Science Science and Technology: Jurnal Pengabdian Masyarakat The Indonesian Journal of Computer Science
Jazman, Muhammad
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Social Sciences Other

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DESIGN OF APPLICATION INFORMATION SECURITY SELF-ASSESSMENT USING VBA AND MSXML2.XMLHTTP CASE STUDY: DISKOMINFO KABUPATEN KAMPAR Fahmi Rifai; Jazman, Muhammad; Angraini, Angraini; Megawati, Megawati
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 6 (2023): JUTIF Volume 4, Number 6, Desember 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.6.1033

Abstract

Information security includes the issues that may threaten accountability, reliability, trustworthiness, privacy, authenticity, and trustworthiness of information in an agency. Data and information are very risky things in Information Security, and therefore it is important to do information security governance. The process of evaluating information security using the Index KAMI and ISO 27001: 2013 will be carried out in this study by recording data using Microsoft Excel which has been provided by the National Cyber and Crypto Agency (BSSN). To make it easier to conduct information security assessments and simplify the Excel display, Visual Basic for Applications (VBA) will be utilized as a medium for adding ISO 27001: 2013, then it will be connected using MSXML2.XMLHTTP. The results of the self-assessment carried out show that the Communication, Information, and Signaling Service of Kampar Regency has a level of completeness in implementing the ISO 27001 standard at the "Inadequate" level with a score of 151 only reaching level I+. Meanwhile, the results of the ISO 27001: 2013 Annex control evaluation show that there are still clauses that have not been fulfilled. Therefore, the Communication, Informatics, and Coding Office of Kampar Regency urgently needs improvement in order to fulfill the clauses of ISO 27001: 2013.
CYBERBULLYING SENTIMENT ANALYSIS OF INSTAGRAM COMMENTS USING NAÏVE BAYES CLASSIFIER AND K-NEAREST NEIGHBOR ALGORITHM METHODS Anisa Nirmala, Fitri; Jazman, Muhammad; Rozanda, Nesdi Evrilyan; Salisah, Febi Nur
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 5 (2024): JUTIF Volume 5, Number 5, Oktober 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.5.1997

Abstract

The high number of social media users presents major threats and risks, such as cyberbullying Cyberbullying or cyberbullying is one of the negative impacts of the rapid development of technology and social media. Sentiment Analysis is a technique for extracting text data to obtain information about positive, neutral or negative sentiment. One of Indonesian social media that often gets user sentiment through social media is Instagram. By using the Text Mining technique, the classification method will determine whether a sentiment is positive, neutral or negative. This research uses the Naïve Bayes Classifier (NBC) and K-Nearest Neighbor (KNN) methods with tf-idf weighting accompanied by the addition of an emotional icon (emoticon) conversion feature to determine the existing sentiment classes from tweets about Instagram users. The results of calculations using the first three methods using the Partitionong model, the results using the Naive Bayes method, get an accuracy value of 91.25%, a recall value of 92% and a precision value of 90% and calculations using the KNN method have an accuracy value of 67%, a recall value of 49% and a precision value of 34 %. So it can be concluded that the Naïve Bayes Classifier algorithm has the best performance.
User Experience Analysis of Adobe Lightroom Application for Photographers Using the Heart Framework Method Hamdi, Fathan Surya; Syaifullah, Syaifullah; Saputra , Eki; Jazman, Muhammad
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 3 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i3.41295

Abstract

Adobe Lightroom is a very popular software among photographers for editing and organizing photos. Although the application is feature-rich and intuitive, many users still face various problems using it. Common issues include slow performance on older hardware, synchronization difficulties between devices, a complex interface, and feature limitations. These issues can interfere with user productivity and satisfaction, especially for photographers who depend on this application for their work. In addition, the Adobe Lightroom subscription fee is also a barrier for photographers. This research aims to analyze the user experience of Adobe Lightroom using the HEART Framework method, which was developed by Google to evaluate the quality of user experience (UX) based on five dimensions namely Happiness, Engagement, Adoption, Retention, and Task Success. Research instrument testing uses validity and reliability test calculations which state that each statement item for user-centered metrics has been said to be valid and reliable. The achievement of the level of usability of the user experience of the Adobe Lightroom application has met and exceeded the predetermined goals in the goals-signal-metrics with a variable value of Happiness of 84.2%, Engagement of 79.3%, Adoption of 62.8%, Retention of 79%, and Task Succes of 83.5%. This result shows that the Adobe Lightroom application has created a positive experience for its users, but further development is still needed to provide a more optimal user experience in the future.
Audit of Information Tecnology Governance at BKKBN Riau Province using the 2019 Cobit Framework Fandi, Ridho Arif; Jazman, Muhammad; Fronita, Mona; Saputra, Eki
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

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

Abstract

The implementation of Information Technology in government agencies has been used to enhance management processes and productivity, making them more accurate and faster, which leads to an improvement in the organization's ability to achieve Governance Management Objectives (GMO) and Good Corporate Governance. The BKKBN of Riau Province has implemented Information Technology in its execution in the form of SIGA (Sistem Informasi Keluarga) and Srikandi (Sistem Informasi Kearsipan Dinamis Terintegrasi). BKKBN is a non-ministerial government agency tasked with population control through family planning and prosperous family programs. Cobit 2019 is an international standard for assessing IT governance and management within companies, which also provides solutions for improving those issues.This research aims to measure the level of organizational capability in IT implementation. The results of the analysis of the Design factor objective APO-09-Managed Service Agreements and DSS-01 Managed Operations have the highest importance value, which is 60. The measurement results for APO-09 reached 74% at capability level 3 with the status of Largely Achieved or not yet achieved, while DSS-01 reached a value of 79% at level 3, which means both process objectives are at level 2, indicating that the process activities have achieved their goals by performing a number of basic but complete activities. With these results, both process objectives require improvement based on recommendations formulated from the gap analysis to achieve the expected capability.
Analysis of Student Satisfaction with Google Scholar Services as Reference using the Delone and Mclean Method Permata, Nur Fitria Mita; Syaifullah, Syaifullah; Ahsyar, Tengku Khairil; Jazman, Muhammad
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i6.4680

Abstract

Google Scholar is a search engine that serves as a platform for finding references from sources like articles, books, and journals relevant to ongoing or planned research. It aids students in discovering references aligned with their research topics or discussions. Nevertheless, challenges such as technical glitches in Google Scholar's servers, internet connection problems, restricted or paid access to articles, and the search algorithm's potential misinterpretation of user queries can occur. This research seeks to assess information systems students' satisfaction with Google Scholar's services and evaluate user satisfaction using the DeLone and McLean model. The analysis results show that of the nine hypotheses tested, seven were supported and two were rejected. The study implies that to enhance Google Scholar in the future, adjustments should be made to better cater to the needs of users, particularly students, in locating relevant and accurate references.
Analisis Penerimaan Pengguna E-Wallet DANA Menggunakan Metode TAM dan Delone Mclean Sari, Gusmelia Puspita; Salisah, Febi Nur; Rozanda, Nesdi Evrilyan; Afdal, M; Jazman, Muhammad; Marsal, Arif
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5334

Abstract

The industrial revolution 4.0 motivates advances in information technology through the idea of ​​the internet of things (IoT). One form of implementing the internet of things is the use of e-wallets as a payment medium. One e-wallet that is popular among users is the DANA application. The DANA application helps users make non-cash or cardless payments, making transactions easier and more practical. Despite the advantages offered, there are several problems in its implementation, such as delays when making transfers, not being able to top up and losing balance. Therefore, using the TAM and Delone Mclean approach, this research aims to analyze user acceptance of the DANA application as an effort to see what factors make the DANA application able to be accepted and used by many users. This research was conducted on DANA application users who live in Pekanbaru City with a sample size of 100 respondents. The research uses quantitative methods by distributing questionnaires online. The data that has been collected is processed first using Microsoft Excel, then continued using SmartPLS 4 to analyze PLS-SEM. From hypothesis testing, the results obtained were that seven hypotheses were accepted and declared positive and significant, while one hypothesis was rejected because it did not show a significant relationship.
Integrating Support Vector Machines and Geospatial Analysis for Enhanced Tuberculosis Case Detection and Spatial Mapping Jannah, Miftahul; Jazman, Muhammad; Afdal, M; Megawati, Megawati
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7158

Abstract

Tuberculosis (TB) remains a significant global health problem, with Indonesia ranking third in the world in terms of TB burden. Riau Province recorded 13,007 notified TB cases in 2022 with a Case Notification Rate (CNR) of 138 per 100,000 population, still far from the national target. This study aims to develop a TB case classification system using Support Vector Machine (SVM) integrated with geospatial analysis to identify TB positive cases from screening data and visualize their spatial distribution in Riau Province. The research data was sourced from the Tuberculosis Information System (SITB) of the Riau Provincial Health Office for the period January-December 2024, covering 350 samples with demographic information, clinical symptoms, and patient risk factors. The research process includes data collection, preprocessing with Min-Max and Z-Score methods, feature extraction, modeling with SVM using various kernels (RBF, Linear, Polynomial, and Sigmoid), and geospatial visualization using Google Earth Engine (GEE). The results showed that the SVM model with Linear kernel achieved the highest accuracy of 80%, sensitivity of 100%, and specificity of 80% in detecting TB cases. Geospatial analysis successfully identified clusters of TB cases in several districts in Riau Province, with Pekanbaru City (112 cases) and Rokan Hulu (89 cases) as the main hotspots. The integration of machine learning and geospatial analysis proved effective in improving TB detection and providing a comprehensive understanding of disease spread patterns in Riau Province.
Evaluasi Usability Aplikasi Mobile Banking Menggunakan Metode Retrospective Think Aloud dan Post-Study System Usability Questionnaire Naufal, Muhammad; Ahsyar, Tengku Khairil; Jazman, Muhammad; Permana, Inggih
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4039

Abstract

BRKS Mobile is a digital service provided by Bank Riau Kepri Syariah to facilitate its customers in conducting financial transactions via smartphones. Because this application is relatively new, there are problems when running the application. The results of user reviews on playstore comments and pre-surveys, the problem that often occurs is errors when making transactions. In this study, usability evaluation was carried out using the Retrospective Think Aloud (RTA) and Post-Study System Usability Quesionaire (PSSUQ) methods. The results of the usability measurement show that users experience little difficulty when running the transfer and purchase menus. This is reinforced by the results contained in the norms of the PSSUQ method where the results of the SyeUse variable value of 2.70 and InfoQual 2.95 are below the average which indicates that the usability of the system and the quality of information on BRKS Mobile are still lacking. For the InterQual value of 3.09, it is above average and overall the BRKS application is at 2.89 above average, which means that the application can be accepted by its users.
PENGEMBANG TOOLKIT SUPPLY CHAIN MANAGEMENT DENGAN PENDEKATAN HOUSE OF RISK (HOR) (CASE STUDY: SAINT CINNAMON PEKANBARU) Putra, Adhytia Pratama; Angraini, Angraini; Salisah, Febi Nur; Jazman, Muhammad
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 1 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i1.7812

Abstract

Penelitian ini mengembangkan perangkat Supply Chain Manage-ment (SCM) dengan menggunakan pendekatan House of Risk (HOR), Excel dan Visual Basic for Applications (VBA) untuk mengatasi tan-tangan manajemen risiko di Saint Cinnamon Pekanbaru. Metode House of Risk (HOR) memakan waktu dan rentan terhadap kesala-han, sehingga membutuhkan waktu s. Perangkat lunak ini men-gotomatiskan analisis risiko, mendukung pengambilan keputusan yang lebih cepat dan akurat. Metodologi ini menggunakan model SCOR untuk mengidentifikasi risiko di seluruh rantai pasokan (Plan, Source, Make, Deliver, Return). Model House of Risk (HOR) kemudian diterapkan untuk memprioritaskan agen risiko berdasarkan Aggregate Risk Potential (ARP). Strategi mitigasi diformu-lasikan dan diurutkan berdasarkan rasio Efektivitas terhadap Tingkat Kesulitan.Perangkat ini mengotomatiskan analisis HOR, menghasilkan diagram Pareto dan matriks ETD. Toolkit berbasis Visual Basic for Applications (VBA) yang dikembangkan memung-kinkan manajemen risiko yang proaktif, mengurangi gangguan operasional, dan meningkatkan layanan pelanggan.
Co-Authors Am, Andri Nofiar Angraini Angraini Anisa Nirmala, Fitri Anofrizen Anofrizen Aprinastya, Rachell Aqilla, Nabila Fadia Arif Marsal Ariyansir, Sigit Butar Butar, Febiola Siska Dermawan, Tri Eki Saputra Fahmi Rifai Fandi, Ridho Arif Febi Nur Salisah Fenty Kurnia Oktorina Fina Nasari Fitri Hamdi, Fathan Surya Hamzah, Muhammad Luthfi Herliza, Herliza Inggih Permana Kusuma, Gathot Hanyokro M. Afdal MAULANA, BIMA Maulana, Rizki Azli Megawati - Miftahul Jannah Mona Fronita, Mona Muhammad Naufal, Muhammad Muhammad Ridwan Muttakin, Fitriani Novita Sari Nurhadi, Muhammad Permata, Nur Fitria Mita Praniffa, Anisya Caty Pribadi, Antoni Putra, Adhytia Pratama Putri, Runi Aulia Rahman, Eman Rahmawita, Medyantiwi Raihan, Muhammad Renaldi, Rengga Rianda, Rahmad Didho Rice Novita Rika Aryati Rozanda, Nesdi Evrilyan Saputra , Eki Sari, Gusmelia Puspita Setiawati, Elsa Siregar, Syafril Syaifullah Syaifullah Syaifullah Tengku Khairil Ahsyar Yulianti, Nelvi Zarnelly Zarnelly