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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Technology and Computer Science Jurnal Pendidikan Terbuka Dan Jarak Jauh JOURNAL OF APPLIED INFORMATICS AND COMPUTING SENTIA 2015 JURNAL PETIK Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Masyarakat Madani Indonesia Jurnal Informatika Polinema (JIP) Jurnal ilmiah teknologi informasi Asia
Mayang Anglingsari Putri, Mayang Anglingsari
Universitas Terbuka
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Library & Information Science Public Health Social Sciences

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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

Abstract

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

Abstract

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

Abstract

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

Abstract

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 Pengelolaan Manajemen Mushola Berbasis Digital Pada Mushola Al-Amanah Cinangka Junianto, Mochamad Bagoes Satria; Putri, Mayang Anglingsari; Trihapningsari, Denisha; Nurdiana, Dian
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 1 (2026): Februari
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/t6kc0w17

Abstract

Perkembangan teknologi digital menuntut organisasi keagamaan, termasuk mushola, untuk melakukan adaptasi dalam pengelolaan manajemen dan penyebaran informasi. Mushola Al-Amanah Cinangka masih menghadapi sejumlah kendala, di antaranya pengelolaan keuangan yang belum terdigitalisasi, penggunaan media sosial yang belum optimal, serta kemampuan produksi konten digital yang terbatas. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk meningkatkan kapasitas pengurus mushola melalui pelatihan digitalisasi manajemen, yang meliputi optimalisasi media sosial, pengelolaan keuangan digital, dan pembuatan konten. Metode yang digunakan adalah pendekatan partisipatif melalui observasi awal, identifikasi kebutuhan, penyusunan materi, pelatihan langsung, serta evaluasi pemahaman peserta. Hasil kegiatan menunjukkan adanya peningkatan kompetensi pengurus mushola pada tiga aspek utama: (1) pemahaman dan keterampilan memanfaatkan media sosial untuk publikasi kegiatan meningkat dari kategori rendah menjadi tinggi; (2) pengurus mampu menerapkan pencatatan keuangan menggunakan aplikasi digital secara lebih rapi dan transparan; dan (3) kemampuan membuat konten digital (poster, video, dan teks informatif) meningkat secara signifikan berdasarkan hasil evaluasi dan praktik peserta. Program ini berkontribusi dalam mewujudkan pengelolaan mushola yang modern, akuntabel, dan adaptif terhadap perkembangan teknologi. Kegiatan PkM ini diharapkan menjadi model pemberdayaan yang dapat direplikasi pada mushola atau lembaga keagamaan lainnya dalam rangka mendukung transformasi digital pada level komunitas.
Evaluating Website Performance Using EdgeOne as an Automated Web Assessment Tool Putri, Mayang Anglingsari; Aprijani, Dwi Astuti; Trihapningsari, Denisha; Putri Martinasari, Made Diyah; Junianto, Mochamad Bagoes Satria
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

Abstract

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.
Co-Authors Aprijani, Dwi Astuti Dwi Astuti Aprijani Hapsani, Anggi Gustiningsih Hasan Basri Indra Dharma Wijaya Indra Dharma Wijaya Indra Dharma Wijaya, Indra Dharma Irpan Kusyadi Irpan Kusyadi Ismiarta Aknuranda Junianto, Mochamad Bagoes Satria Minrohayati . Mochamad Bagoes Satria J Mutiara Ulfah Nurdiana, Dian Pardamean Daulay Putri Martinasari, Made Diyah Putri, Chandra Sina Risqy Siwi Pradini Rosadi, Raesita Rakhmawati Setia Budi, Agung Syaikhu, Ahmad Trihapningsari , Denisha Trihapningsari Trihapningsari, Denisha Unggul Utan Sufandi Wayan Firdaus Mahmudy Zikriyani, Hikmah