Garuda - Garba Rujukan Digital

Segmentasi persepsi dampak media sosial pada UMKM menggunakan K-Means Putri, Mayang Anglingsari; Trihapningsari, Denisha; Basri, Hasan; Junianto, Mochamad Bagoes Satria; Kusyadi, Irpan
Jurnal Ilmiah Teknologi Informasi Asia Vol 19 No 2 (2025): Volume 19 nomor 2 2025 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v19i2.1188

The rapid growth of social media usage has significantly influenced the marketing and development strategies of Micro, Small, and Medium Enterprises (MSMEs). However, there remains a limited understanding of how various users perceive the role of social media in supporting MSME growth. This study aims to segment user perceptions regarding the impact of social media on MSMEs, utilizing the K-Means Clustering method. The research novelty lies in combining perceptual analysis with an unsupervised machine learning technique to discover hidden patterns in public responses. Data were collected through a questionnaire distributed to MSME actors and users of MSME products across Indonesia. The questionnaire includes statements related to the accessibility, promotional effectiveness, and trust-building capability of social media. The clustering results categorize respondents into several perception groups—ranging from highly positive to neutral or skeptical, providing valuable insights for stakeholders and digital marketing strategists in targeting communication and support for MSMEs. This approach offers a data-driven strategy to optimize MSME empowerment through the appropriate use of digital platforms.

Digitalisasi Manajemen Data IKU 3 dan IKU 4 Pada Program Studi Sistem Informasi Universitas Terbuka Menggunakan Metode Agile Irpan Kusyadi; Mochamad Bagoes Satria J; Dwi Astuti Aprijani; Mayang Anglingsari Putri
Petik: Jurnal Pendidikan Teknologi Informasi Dan Komunikasi Vol. 11 No. 2 (2025): Volume 11 No 2 September 2025
Publisher : Pendidikan Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/petik.v11i2.3301

Abstrak Pengukuran kinerja Perguruan Tinggi Negeri (PTN) di Indonesia saat ini mengacu pada delapan Indikator Kinerja Utama (IKU). IKU berfungsi sebagai alat ukur pencapaian yang memengaruhi pemberian insentif berbasis kinerja seperti insentif capaian IKU, dana penyeimbang, dan program kompetisi. Program Studi Sistem Informasi Universitas Terbuka menghadapi tantangan dalam pengelolaan data terkait IKU 3 (dosen berkegiatan di luar kampus) dan IKU 4 (praktisi mengajar di dalam kampus). Penelitian ini bertujuan untuk mengembangkan sistem informasi manajemen data IKU 3 dan IKU 4 pada program studi sistem informasi Universitas Terbuka. Metode yang digunakan dalam pengembangan sistem ini yaitu metode Agile. Untuk mengumpulkan data dalam penelitian ini menggunakan metode wawancara, observasi dan menganalisis dari dokumentasi yang ada. Hasil penelitian ini menunjukan bahwa sistem informasi yang dikembahkan dapat memudahkan dalam pendokumentasian kegiatan yang berhubungan dengan IKU 3 dan IKU 4, mulai dari input kegiatan yang dilakukan sampai kepada penyajian laporan yang dapat dilakukan sesuai dengan template yang telah ditentukan. Pengujian sistem ini dilakukan dengan menggunakan metode black box testing yang menunjukan sistem berjalan dengan baik sesuai dengan fungsinya. Hasil penelitian ini menunjukkan bahwa sistem informasi yang dikembangkan dapat mempermudah pendokumentasian dan pelaporan IKU 3 dan IKU 4, serta telah berfungsi dengan baik berdasarkan pengujian black box. Kata Kunci: Digitalitasi data; Indikator Kinerja Utama (IKU); Metode Agile; Sistem Informasi Manajemen Abstract The performance measurement of State Universities (PTN) in Indonesia currently refers to eight Key Performance Indicators (KPI). KPI serves as a measurement tool for achievement that influences the provision of performance-based incentives such as KPI achievement incentives, balancing funds, and competition programs. The Information Systems Study Program of Universitas Terbuka faces challenges in managing data related to KPI 3 (lecturers engaged in activities outside the campus) and KPI 4 (teaching practitioners on campus). This study aims to develop a data management information system for KPI 3 and KPI 4 in the Information Systems Study Program of Universitas Terbuka. The method used in developing this system is the Agile method. To collect data in this study, interviews, observations, and analysis of existing documentation were used. The results of this study indicate that the developed information system can facilitate the documentation of activities related to KPI 3 and KPI 4, starting from inputting activities carried out to presenting reports that can be done according to a predetermined template. Testing of this system was carried out using the black box testing method which showed that the system runs well according to its function. The results of this study indicate that the information system developed can facilitate the documentation and reporting of IKU 3 and IKU 4, and has functioned well based on black box testing. Keyword: Data digitization; Key Performance Indicators (KPI); Agile Methods; Management Information Systems

Comparison Various Analytical Approaches to Find The Most Efficient and Effective Method for Peak Hour Identification Hapsani, Anggi Gustiningsih; Putri, Mayang Anglingsari
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 17, No 2 (2025): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v17i2.29193

The Peak hour sales identification is essential to manage staff, inventory, and service capacity in coffee shop operations. This study compares an exploratory heatmap with two forecasting models, linear regression and Seasonal ARIMA (SARIMA) using six months of hourly transaction data from a coffee shop (1 March–17 August 2024) . The heatmap offers rapid visual recognition of high traffic periods but provides no predictive capability. For prediction, this study trained a linear regression and a SARIMA specification tuned by standard diagnostics; model performance was assessed on a held out set using MAE, RMSE, and MAPE. Linear regression yielded RMSE = 6.68, MAE = 5.40, and MAPE = 138.06%, indicating inadequate fit for intraday demand dynamics. In contrast, SARIMA achieved RMSE = 0.828, MAE = 0.557, and MAPE = 40.34%, substantially reducing error by explicitly modeling autocorrelation and recurrent seasonal cycles. The results show that seasonality aware time series modeling delivers actionable, interpretable forecasts for near term operational planning (such as staffing and product preparation). Overall, the proposed pipeline, heatmap for rapid situational awareness plus SARIMA for prediction, constitutes a practical baseline for peak hour identification in small scale retail.

The Integration of AHP and Rank Order Centroid in a Decision Support System for Selecting Social Media for MSMEs Putri, Mayang Anglingsari
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.12153

This study aims to develop a Decision Support System (DSS) to assist Micro, Small, and Medium Enterprises (MSMEs) in selecting the most optimal social media platform for promotional activities. In the digital era, choosing an appropriate platform is a critical factor in enhancing marketing effectiveness; however, many MSMEs face challenges in making informed decisions due to limited analytic capabilities and resources. To address this issue, the proposed system integrates the Analytic Hierarchy Process (AHP) to determine the relative importance of decision criteria and the Rank Order Centroid (ROC) method to assign weights to the alternatives. The evaluation criteria include audience reach, cost efficiency, and user engagement, which are considered essential factors in digital marketing strategies for MSMEs. The results indicate that Instagram achieved the highest score of 0.208 and is recommended as the most suitable social media platform for MSME promotion. TikTok ranked second with a score of 0.082, followed by Facebook with a score of 0.041. Furthermore, user validation testing demonstrates that the system is well accepted by MSME practitioners, as it provides recommendations that are accurate, structured, and easy to use.This research contributes by offering a technology-based decision-making solution that enhances the effectiveness of digital marketing strategies for MSMEs. The developed DSS serves as a practical and relevant tool to support promotional decision-making and to address the challenges of social media utilization in today’s competitive digital landscape.

Program Pengembangan Santri Cerdas Melalui Pemanfaatan Media Digital Pada Pesantren Nafidatunjannah Gunung Sindur Dian Nurdiana; Mochamad Bagoes Satria Junianto; Mayang Anglingsari Putri; Denisha Trihapningsari; Irpan Kusyadi
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol. 8 No. 1 (2026): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/abdimaspolibatam.v8i1.11929

The rapid development of information and communication technology (ICT) has created significant opportunities for Islamic boarding schools (pesantren) to strengthen their roles in education and da'wah in the digital era. Although santri represent a generation that is highly familiar with technology, its use is still predominantly directed toward entertainment rather than self-development or da'wah activities. This study discusses the urgency of technological proficiency among santri, the challenges faced by pesantren in the process of digital transformation, and the importance of guidance to shape santri into positive content creators capable of spreading Islamic values through digital platforms. The main obstacles include limited technological infrastructure, insufficient training for educators, and a lack of understanding of effective digital da'wah strategies. Therefore, this study emphasizes the need to strengthen technological capacity in pesantren through relevant training, adequate ICT facilities, and the development of a digital curriculum aligned with da'wah needs. The findings are expected to serve as a foundation for pesantren in designing effective and sustainable digital transformation programs.

Evaluating Website Performance Using EdgeOne as an Automated Web Assessment Tool Mayang Anglingsari Putri; Dwi Astuti Aprijani; Denisha Trihapningsari; Made Diyah Putri Martinasari; Mochamad Bagoes Satria Junianto
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 18, No 1 (2026): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v18i1.37752

A university website functions not only as an information portal but also as a reflection of institutional credibility and academic reputation. Therefore, maintaining website quality—particularly web performance—is essential and must be evaluated continuously. The website of the Information Systems Study Program at Universitas Terbuka was selected as the focus of this study due to its role in delivering academic information and supporting communication with stakeholders. This research evaluates the website’s web performance using EdgeOne, an automated assessment tool that measures key performance indicators such as Time to First Byte (TTFB), First Contentful Paint (FCP), Largest Contentful Paint (LCP), Speed Index, Total Blocking Time (TBT), and Page Load Time. A descriptive quantitative approach is applied to interpret the performance metrics and identify areas requiring optimization. The results show that although the website maintains stable structural functionality, several performance indicators—particularly loading speed—remain below the recommended threshold for modern web standards. These findings highlight the importance of continuous web performance monitoring and technical optimization to improve user experience and ensure the reliability of institutional digital platforms.

Digitalisasi Manajemen Data IKU 3 dan IKU 4 Pada Program Studi Sistem Informasi Universitas Terbuka Menggunakan Metode Agile Irpan Kusyadi; Mochamad Bagoes Satria J; Dwi Astuti Aprijani; Mayang Anglingsari Putri
Petik: Jurnal Pendidikan Teknologi Informasi Dan Komunikasi Vol. 11 No. 2 (2025): Volume 11 No 2 September 2025
Publisher : Pendidikan Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/petik.v11i2.3301

Abstrak Pengukuran kinerja Perguruan Tinggi Negeri (PTN) di Indonesia saat ini mengacu pada delapan Indikator Kinerja Utama (IKU). IKU berfungsi sebagai alat ukur pencapaian yang memengaruhi pemberian insentif berbasis kinerja seperti insentif capaian IKU, dana penyeimbang, dan program kompetisi. Program Studi Sistem Informasi Universitas Terbuka menghadapi tantangan dalam pengelolaan data terkait IKU 3 (dosen berkegiatan di luar kampus) dan IKU 4 (praktisi mengajar di dalam kampus). Penelitian ini bertujuan untuk mengembangkan sistem informasi manajemen data IKU 3 dan IKU 4 pada program studi sistem informasi Universitas Terbuka. Metode yang digunakan dalam pengembangan sistem ini yaitu metode Agile. Untuk mengumpulkan data dalam penelitian ini menggunakan metode wawancara, observasi dan menganalisis dari dokumentasi yang ada. Hasil penelitian ini menunjukan bahwa sistem informasi yang dikembahkan dapat memudahkan dalam pendokumentasian kegiatan yang berhubungan dengan IKU 3 dan IKU 4, mulai dari input kegiatan yang dilakukan sampai kepada penyajian laporan yang dapat dilakukan sesuai dengan template yang telah ditentukan. Pengujian sistem ini dilakukan dengan menggunakan metode black box testing yang menunjukan sistem berjalan dengan baik sesuai dengan fungsinya. Hasil penelitian ini menunjukkan bahwa sistem informasi yang dikembangkan dapat mempermudah pendokumentasian dan pelaporan IKU 3 dan IKU 4, serta telah berfungsi dengan baik berdasarkan pengujian black box. Kata Kunci: Digitalitasi data; Indikator Kinerja Utama (IKU); Metode Agile; Sistem Informasi Manajemen Abstract The performance measurement of State Universities (PTN) in Indonesia currently refers to eight Key Performance Indicators (KPI). KPI serves as a measurement tool for achievement that influences the provision of performance-based incentives such as KPI achievement incentives, balancing funds, and competition programs. The Information Systems Study Program of Universitas Terbuka faces challenges in managing data related to KPI 3 (lecturers engaged in activities outside the campus) and KPI 4 (teaching practitioners on campus). This study aims to develop a data management information system for KPI 3 and KPI 4 in the Information Systems Study Program of Universitas Terbuka. The method used in developing this system is the Agile method. To collect data in this study, interviews, observations, and analysis of existing documentation were used. The results of this study indicate that the developed information system can facilitate the documentation of activities related to KPI 3 and KPI 4, starting from inputting activities carried out to presenting reports that can be done according to a predetermined template. Testing of this system was carried out using the black box testing method which showed that the system runs well according to its function. The results of this study indicate that the information system developed can facilitate the documentation and reporting of IKU 3 and IKU 4, and has functioned well based on black box testing. Keyword: Data digitization; Key Performance Indicators (KPI); Agile Methods; Management Information Systems

AHP–Python Framework for Multicriteria Modeling of Rice Production in ASEAN Putri, Mayang Anglingsari; Pradini, Risqy Siwi; Jayanegara, Anuraga; Putra, Alexander Dimas Yonanta
Knowledge Engineering and Data Science
Publisher : citeus

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

Rice production is a key indicator of food security and agricultural stability in Southeast Asia, especially among Association of Southeast Asian Nations (ASEAN) countries. Despite shared regional goals, disparities in rice production remain, and previous studies mainly rely on descriptive statistics, lacking structured multicriteria decision-making frameworks and computational tools for cross-country comparisons. This study addresses these gaps by proposing an integrated Analytic Hierarchy Process (AHP)–Python framework to evaluate and rank ASEAN rice production from 2013 to 2022. Three criteria are used: Total Production Volume (K1), Production Growth Trend (K2), and Recent Year Performance (K3), capturing both long-term consistency and short-term dynamics. Official data from the ASEAN Food Security Information System (AFSIS) is analysed using a macro-level comparative approach. AHP is implemented in Python to efficiently perform matrix normalisation, pairwise comparisons, eigenvalue calculations, and final score synthesis, thereby improving accuracy, scalability, and reproducibility while reducing human error. Results show that Indonesia (0.678) and Vietnam (0.654) consistently rank among the highest-performing countries, highlighting their strategic role in the regional stability of rice production. This study contributes a novel integration of AHP and Python for regional agricultural performance modelling, providing methodological advancements and practical insights. The findings support evidence-based policymaking, cross-country collaboration, and resource planning, promoting food security and agricultural resilience across ASEAN.

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