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Perancangan Sistem Informasi Pendukung Pemulihan Kesehatan Mental Dengan Pendekatan Design Thinking Steffi Adam; Marfuah Marfuah
Jurnal Sistem Informasi Vol 14, No 1 (2022)
Publisher : Universitas Sriwijaya

Kesehatan Mental menjadi salah satu permasalahan yang belum terselesaikan di tengah masyarakat Indonesia. Riset Kesehatan Dasar (Riskesdas) 2018 menunjukkan bahwa lebih dari 19 juta penduduk Indonesia yang berusia lebih dari 15 tahun mengalami gangguan mental emosional, dan lebih dari 12 juta penduduk berusia lebih dari 15 tahun mengalami depresi. Penelitian ini bertujuan untuk merancang sistem informasi berupa aplikasi untuk mendukung pemulihan kesehatan mental dengan pendekatan design thinking. Design thinking terdiri dari lima tahapan yaitu empati, penetapan, ideasi, prototipe, dan ujicoba yang berbasis pada kebutuhan pengguna. Metode pengumpulan dan pengolahan data menggunakan wawancara dan brainstroming. Perancangan sistem menggunakan Unified Modelling Langauage (UML). Hasil penelitian menunjukkan bahwa untuk membantu para mental health warrior mengatasi masalah kesehatan mentalnya, dibutuhkan aplikasi dengan fitur yang memungkinkan mereka untuk berinteraksi tanpa dihakimi dan merasa ditemani (Fitur Teman Cerita), juga fitur yang membantu mereka mengatasi kecemasan (Fitur Journaling dan Fitur Kelas Pengembangan Diri), dan juga fitur yang membantu mereka bertemu dengan psikolog untuk mengatasi permasalahan mentalnya.

HEDONIC-MOTIVATION SYSTEM: PENGUKURAN INTENSI MAHASISWA DALAM PENGGUNAAN LEARNING MANAGEMENT SYSTEM Suryo Widiantoro; Marfuah Marfuah
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 7 No 2 (2019): Jursima Vol. 7 No. 2, Tahun 2019
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v7i2.179

One part of the academic information system at Universal University is a learning management system (LMS) that is used to support learning activities, so this system must be designed to be able to provide convenience for students as the main users. There are intrinsic motivational behaviors that need to be identified as consideration of factors that might have an impact on students' perceptions in their intentions to use a system. The Hedonic-motivation system (HMS) theory emphasized that in order to increase one's intention to use information systems, then the pleasure factor needs to be included along with the usability factor and the ease of use factor. The four HMS variables used in the measurement are ease of use, usability, enjoyment, and intention to use. The measurement results will be obtained dominant influential factors that can be used as a basic guideline in designing system interactions in the form of conceptual designs for the development of LMS at Universal University.

ANALISIS PERENCANAAN STRATEGIS SISTEM INFORMASI PADA SMA XYZ DENGAN METODE WARD AND PEPPARD Steffi Adam; Ummul Fitri Afifah; Suryo Widiantoro; Marfuah Marfuah
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 6, No 2 (2023): June 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v6i2.1317

Abstract: XYZ Senior High School Batam is a private school that was established in 2009 and has implemented information sytems and information technology as part of the schools business process activities. The implement of IS/IT at XYZ Senior High School aims to improve the effectiveness and efficiency of various jobs or activities that will be carried out by the school. Therefore, IS/IT strategic planning are certainly needed to assist schools in providing information that can support these goals. In order for the IS/IT strategic planning that is made to be in accordance with the vision, mission, and goals of XYZ Senior High School, the IS/IT strategic planning in this study will use the Ward and Peppard model framework starting from the internal and external environmental analysis process, as well as the IS/IT external and internal environmental analysis. The analysis process is carried out using SWOT, Value Chain, Porter's Five Force, PEST, technology trend analysis, and McFarlan's Strategic Grid matrix. The results of this study are to produce recommendations for nine new information systems, namely SIGAWAI; SIMAKEU; STUDENTS; E-Learning; SICRM; SITS; SIAMIK; SIAB; SIRANA; and SIHUMAS aims to make school services and operations more effective and efficientKeywords: analysis;ward and peppard framework;SI/IT strategic planning. Abstrak: Sekolah Menengah Atas XYZ Batam merupakan sebuah sekolah swasta yang berdiri pada tahun 2009 dan telah menerapkan sistem informasi dan teknologi informasi sebagai salah satu bagian dari kegiatan proses bisnis sekolah. Penerapan SI/TI pada SMA XYZ bertujuan untuk meningkatkan efektivitas dan efisiensi dari berbagai pekerjaan ataupun kegiatan yang akan dilakukan oleh pihak sekolah. Oleh sebab itu, perencanaan strategis SI/TI tentu sangat diperlukan untuk membantu pihak sekolah dalam menyediakan informasi yang dapat mendukung tujuan tersebut. Agar perencanaan strategis SI/TI yang dibuat dapat sesuai dengan visi, misi, dan tujuan dari SMA XYZ, maka perencanaan strategis SI/TI pada penelitian ini akan menggunakan kerangka model Ward and Peppard yang dimulai dari proses analisis lingkungan bisnis internal dan eksternal, serta analisis lingkungan SI/TI eksternal dan internal. Proses analisis dilakukan dengan menggunakan teknik analisis SWOT, analisis Value Chain, analisis Five Force Porter, analisis PEST, analisis tren teknologi, dan matriks McFarlans Strategic Grid. Hasil dari penelitian ini adalah menghasilkan rekomendasi sembilan sistem informasi baru yaitu SIGAWAI; SIMAKEU; SISWARU; E-Learning; SICRM; SITS; SIAMIK; SIAB; SIRANA; dan SIHUMAS bertujuan agar pelayanan dan operasional sekolah menjadi lebih efektif dan efisienKata kunci: analisis;metode ward and peppard;perencanaan strategis SI/TI.

Aplikasi Augmented Reality (AR) Sebagai Media Pembelajaran Sistem Rangka Manusia Kaharuddin Kaharuddin; Yonky Pernando; Marfuah Marfuah; Musliadi KH
Journal of Information System Research (JOSH) Vol 4 No 4 (2023): Juli 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i4.3685

Problems in the Indonesian education system have raised serious concerns over the low quality of education. One of the problems that causes low interest in learning is the lack of interest in the learning media used. Therefore, it is important for schools to create learning conditions that are comfortable, interesting, and provide opportunities for students to participate actively. One solution that can be used is the use of computer-based learning media, such as Augmented Reality (AR), which can increase students' interest in learning. In the context of learning Natural Sciences, understanding the anatomy of the human body is an important aspect. The purpose of this research is to develop an Augmented Reality (AR) application using the Game Development Life Cycle (GDLC) method as a learning medium or introduction to the human skeletal system. This application will be equipped with theoretical materials and 3D-based object views that include the names of related bones. With the development of this application, it is expected to create an interesting and interactive learning experience, increase the effectiveness of the learning process, and avoid boredom for students.

HEDONIC-MOTIVATION SYSTEM: PENGUKURAN INTENSI MAHASISWA DALAM PENGGUNAAN LEARNING MANAGEMENT SYSTEM Suryo Widiantoro; Marfuah Marfuah
JURSIMA Vol 7 No 2 (2019): Jursima Vol. 7 No. 2, Tahun 2019
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v7i2.179

One part of the academic information system at Universal University is a learning management system (LMS) that is used to support learning activities, so this system must be designed to be able to provide convenience for students as the main users. There are intrinsic motivational behaviors that need to be identified as consideration of factors that might have an impact on students' perceptions in their intentions to use a system. The Hedonic-motivation system (HMS) theory emphasized that in order to increase one's intention to use information systems, then the pleasure factor needs to be included along with the usability factor and the ease of use factor. The four HMS variables used in the measurement are ease of use, usability, enjoyment, and intention to use. The measurement results will be obtained dominant influential factors that can be used as a basic guideline in designing system interactions in the form of conceptual designs for the development of LMS at Universal University.

Pengelolaan Layanan Sistem Kehadiran Kerja Dosen Berbasis ITIL Versi 3.0 Suryo Widiantoro; Marfuah Marfuah; Randi Randi
Prosiding Vol 5 (2023): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v5i.8117

Quality is something that becomes a reference in assessing something. Good performance is always associated with good quality, so that good data and information management will have an impact on good performance in order to meet the desired quality. This research aims to apply the principles of the information technology service management framework based on ITIL version 3.0 into the context of managing the development of a lecturer attendance system service within the Faculty of Computers at Universal University. Through the service design domain, this research succeeded in developing recommendations for service system development in the aspects of service catalog management, capacity management, availability management, information technology service sustainability management, and information security management. Keywords: Service management; lecturer performance; ITSM; ITIL version

Simple Additive Weighting Untuk Penentuan Target Pasar Gabriel Alan Wijaya; Marfuah Marfuah; Suryo Widiantoro
J-INTECH ( Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i1.841

Changes in information and communication technology have encouraged the formation of an information society. One of the strategic elements for business organizations is processing data quickly and accurately for decision making. Therefore we need a computer-based decision support system that can support the company's decision-making process quickly and accurately. Currently, Glints Talenthub Batam still uses manual methods for decision making in determining the target market, so it takes a long time and results are less accurate. Based on this, the authors try to develop a computer-based decision support system with the Simple Additive Weighting (SAW) method to assist the decision-making process in determining the target market at Glints Talenthub Batam. The results of this study are useful for getting a faster and more accurate decision on which target market to take at Glints Talenthub Batam. In this case, the best target market decision to make is Canada and the United States (San Francisco) ranking first with a final score of 18.68, followed by the United Kingdom in the next rank with a final score of 18.35.

Early Detection of Patient Surge Anomalies in Hospitals: A Comparative Analysis of Gradient Boosting, Random Forest, and SVM Masparudin Masparudin; Marfuah Marfuah; Abdullah Abdullah
Jurnal Sistem Informasi Bisnis Vol 15, No 4 (2025): Volume 15 Number 4 Year 2025 (In Press)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss4pp488-495

Unpredictable fluctuations in patient visits often lead to resource unpreparedness and decreased service quality in hospitals. This study aims to develop an early warning system for patient surges across 110 healthcare service units. Unlike conventional approaches utilizing static thresholds, this study proposes a Statistical Anomaly Detection method based on Z-Score for dynamic labeling and applies Synthetic Minority Over-sampling Technique (SMOTE) to address extreme data imbalance. Three classification algorithms—Gradient Boosting Classifier (GBC), Random Forest (RF), and Support Vector Machine (SVM)—were compared using time-series lag features and volatility trends. Experimental results demonstrate that Gradient Boosting outperformed other methods, achieving the highest F1-Score of 37.35% and a Recall of 48.98%. Although the F1-Score reflects the extreme nature of the data imbalance, achieving high recall is explicitly prioritized in healthcare operations to minimize the critical risk of missed surge events. This study concludes that integrating statistical anomaly-based labeling with ensemble boosting algorithms effectively mitigates noise in heterogeneous hospital visit data, thereby serving as a reliable basis for proactive managerial decision-making.

Monitoring Expiration and Beyond-Use Dates of Non-Compounded Drugs Through Rule-Based and Machine Learning Approaches Marfuah Marfuah; Masparudin Masparudin; Raymond Erz Saragih
Al'adzkiya International of Computer Science and Information Technology (AIoCSIT) Journal Vol 7, No 1 (2026)
Publisher : Al'Adzkiya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55311/aiocsit.v7i1.392

Public knowledge regarding the time limit for drug usage is still limited, despite existing educational efforts. Many people rely solely on the Expiration Date (ED) stated on the primary packaging, which indicates the post-production shelf life. However, once the packaging is opened, the usage limit no longer refers to the ED, but instead to the Beyond Use Date (BUD), which depends on the drug type, time, form, aroma, and color. The application of a Rule-Based Expert System, through a series of IF-THEN rules and machine learning. Three methods were used: decision tree (DT), Gaussian Naive Bayes (GBN), and K-Nearest Neighbor (KNN). The results showed that the decision tree method (95%), the GBN method (94%), and the KNN method (81%) can assist in monitoring drug use limits, minimizing losses, and enhancing user awareness and compliance to prevent medication errors.

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