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Alusyanti Primawati, M.Kom
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INDONESIA
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Published by Universitas Indraprasta PGRI
ISSN : -     EISSN : 27158756     DOI : https://doi.org/10.30998/jrami.v7i01
Core Subject :
JRAMI merupakan media publikasi online khusus bagi mahasiswa/i baik didalam Program Studi Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Indraprasta PGRI ataupun luar institusi. Setiap mahasiswa/i yang memiliki hasil riset dari PKM (Program Kreatifitas Mahasiswa) dan atau Tugas Akhir dapat mempublikasinya dalam bentuk artikel ilmiah sehingga kontribusi dari hasil penelitian mahasiswa dapat disebarluaskan dan dimanfaatkan oleh masyarakat luas. JRAMI sejak 2020 diterbitkan sebanyak 4 kali dalam setahun yang dikelola oleh Program Studi Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Indraprasta PGRI. Fokus dan Area Jurnal: Sistem Informasi, Rekayasa Perangkat Lunak, Sistem Berbasis Pengetahuan, Sistem Pakar, E-Commerce, dan Sistem Pengambilan Keputusan.
Arjuna Subject : -
Articles 92 Documents
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Analisis Faktor Penentu Keberhasilan dan Kegagalan Marketplace Digital melalui Kasus Tokopedia dan Blanja.com Ikhsan Ardiansyah; Septi Andryana
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 04 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i04.1533

Abstract

Indonesia is the largest e-commerce market in Southeast Asia; however, not all marketplace platforms have successfully maintained business sustainability amid the acceleration of digital transformation. This study analyzes the determinant factors of success and failure in digital marketplace adaptation through a comparative case study of Tokopedia and Blanja.com. Three research gaps are addressed: the absence of studies that simultaneously integrate PPT, BMC, and Agile Transformation frameworks for Indonesian cases; the scarcity of polar-case comparisons between successful and failed marketplaces in Southeast Asia; and the unmapped causal hierarchy among the People, Process, and Technology dimensions as determinants of platform sustainability. Using a qualitative approach with a comparative case study method, analysis was conducted through the integration of four analytical frameworks: PPT, BMC, Agile Transformation, and UX Honeycomb. The results identify that Tokopedia's success is determined by organizational agility, Lean UX implementation, AI personalization, and a hyperlocal ecosystem strategy, while Blanja.com's failure stems from joint-venture structural rigidity and a mismatch between the global platform and local market preferences. The primary contribution of this study is a theoretical proposition that the People dimension in the PPT framework causally precedes Process and Technology rather than being parallel, along with an integrative diagnostic framework for e-commerce platforms in emerging markets to assess their digital transformation readiness.  
Faktor Dominasi Platform Mobile Instant Messaging: Studi Komparatif Whatsapp dan BBM Rizky Zein Adam; Septi Andryana
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 04 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i04.1741

Abstract

The shift in dominance of mobile instant messaging from BlackBerry Messenger (BBM) to WhatsApp is a significant phenomenon in the evolution of digital platforms. BBM, which initially dominated the market, experienced a significant decline with the emergence of WhatsApp, which was able to adopt more adaptive technological and business strategies. This study aims to analyze the role of technology adoption factors, business model innovation, and platform ecosystems in determining the dominance of mobile messaging apps. The method used is a qualitative descriptive approach involving a literature review and a comparative analysis between BBM and WhatsApp based on several key dimensions, such as platform support, identity models, onboarding speed, network coverage, infrastructure, adaptation speed, and revenue models. The results indicate that WhatsApp excels in ease of technology adoption, flexible business model innovation, and the development of an open ecosystem that drives massive network effects. The integration of these three factors is key to establishing platform dominance. This study concludes that the success of digital platforms is largely determined by the ability to integrate easily adoptable technology, scalable business models, and a broad, open ecosystem.
Evaluasi Model Bi-Lstm Dan Bi-Gru dalam Memprediksi Direct Normal Irradiance Sebagai Verifikasi Pyrheliometer CHP1 Roy Handoko; Sudarno Wiharjo; Yan Mitha Djaksana
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 04 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i04.1742

Abstract

Direct Normal Irradiance (DNI) plays an important role in global climate observation and the optimization of solar photovoltaic systems. Pyrheliometer calibration commonly refers to ISO 9059 by comparing an operational instrument with a reference standard. This study develops a Deep Learning-based virtual verification instrument to reconstruct the output of a CHP1 pyrheliometer while capturing nonlinear relationships between thermopile sensor response and meteorological dynamics. Two bidirectional architectures, Bidirectional Long Short-Term Memory (Bi-LSTM) and Bidirectional Gated Recurrent Unit (Bi-GRU), were trained using multivariate irradiance and meteorological data obtained from a calibration campaign in Kupang City during September 2025. Model performance was evaluated using the coefficient of determination, RMSE, and MAPE. The results show that bidirectional architectures achieved stronger performance than their unidirectional counterparts. Bi-GRU delivered the best performance, with a coefficient of determination of 0.986, an RMSE of 1.153 W/m², and a MAPE of 0.096%, while Bi-LSTM achieved a coefficient of determination of 0.885 and a MAPE of 0.309%. These findings demonstrate the potential of Bi-GRU as an adaptive virtual verification model for pyrheliometer response reconstruction. Further development may focus on validation across different periods, locations, weather conditions, and instruments.
Pendekatan GeoAI Berbasis DBSCAN dan Geo-Tagging untuk Rekomendasi Lokasi UMKM di Kota Depok Aulia Rahman Mahyuddin; Sirojul Munir; Sigit P Wigati Jarot
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 04 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i04.1797

Abstract

Location selection errors are one of the main factors for the failure of MSMEs, but most existing geographic information systems are still limited to distribution visualization without AI-based analytical capabilities. This study proposes a GeoAI approach that integrates geo-tagging with the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to produce a spatial cluster-based MSME location recommendation system. The system is built using the Django Framework with PostgreSQL as a spatial database, and developed using the Extreme Programming (XP) method. The case study was conducted on coffee shop and barber shop MSMEs in Depok City. DBSCAN was applied to 220 barber shop data and 241 coffee shop data to identify business concentration zones as the basis for location recommendations. The clustering evaluation results showed a Silhouette Score of 0.509 and a DBI of 0.551 for barber shops, and 0.217 and 0.743 for coffee shops, with a system functional accuracy of 90.90%. This research shows that the GeoAI approach based on spatial clustering is able to transform MSME geospatial data into actionable location intelligence, and has the potential to be adopted as a decision-making tool by business actors and local governments in MSME ecosystem planning.  
Implementasi Sistem Pakar Quality Control Kendaraan Rantis menggunakan Metode Forward Chaining T.M.Aditya Ramadhan; Nurhasanah Nurhasanah
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 04 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i04.1839

Abstract

Quality Control  is an essential process to ensure that tactical vehicles meet the required quality standards. However, at PT Sentra Surya Ekajaya, the Quality Control decision-making process still faces challenges due to the absence of standardized assessment criteria. As a result, the determination of pass or fail status still depends on the inspectors' judgment, leading to inconsistent inspection results. This study aims to design and develop a web-based expert system using the Forward Chaining method to support the Quality Control decision-making process, manage inspection data, and determine the pass or fail status of each vehicle part in a more objective and consistent manner. The research employed a qualitative approach with the Waterfall system development model. Data were collected through observation and interviews. The expert system applies forward chaining to infer conclusions based on the symptoms or conditions of vehicle parts identified during the inspection process. The results indicate that the developed system successfully implements inspection rules based on the expert's knowledge base, facilitates computerized management of inspection data, and produces Quality Control decisions that are more objective, consistent, and digitally documented. Therefore, the proposed system is expected to improve the effectiveness of Quality Control at PT Sentra Surya Ekajaya.
Pengembangan Media Pembelajaran Bangun Ruang Berbasis Website Interaktif dengan Visualisasi 3D Malisa Huzaifa; Yoseph Satria Praka; Muhammad Ibnu Rosyid; Tegar Adhitya Febriansyah
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 04 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i04.1931

Abstract

Learning about three-dimensional shapes still faces challenges because most learning media only present two-dimensional representations, causing students to tend to memorize formulas without fully understanding geometric concepts. This research aims to develop interactive website-based learning media for spatial shapes with 3D visualization to help students understand the concepts in a more engaging way. The method used is the Web Development Life Cycle (WDLC). The website was developed using React, Tailwind CSS, and React Three Fiber and is equipped with 3D object visualizations, learning materials, information on elements and properties of three-dimensional shapes, a geometry calculator, and interactive exercises. Testing was conducted using Black Box Testing on 95 test scenarios and Beta Testing by a mathematics teacher with 17 years of experience. The test results showed that all scenarios were successfully executed with a success rate of 100%, while beta testing received an average score of 4.71 in the material aspect and 4.71 in the media aspect. The results indicate that the developed website has functioned well and is suitable for use as a learning medium for spatial structures.
Analisis Dan Implementasi Sistem Firewall dan Intrusion Detection System Menggunakan Metode NDLC Pada Jaringan Perumahan Pamulang Village Rahmad Raihan Amsyah; Nurhasanah Nurhasanah
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 04 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i04.1940

Abstract

Network security is essential for protecting network resources from cyber threats. This study aims to analyze and implement a network security system using a Mikrotik Firewall and Snort-based Intrusion Detection System (IDS) following the Network Development Life Cycle (NDLC) method in the Pamulang Village residential network. The implemented system integrates Mikrotik as the Firewall, Snort as the IDS, Python for processing detection logs, MySQL as the database, and a PHP-based Web application for real-time monitoring. System evaluation was conducted through Black Box Testing, White Box Testing, and attack simulations including Port Scanning, ICMP Flood, and TCP Flood. The results show that Snort successfully detected all tested attacks, while the Mikrotik Firewall enforced the configured security rules to mitigate unauthorized access attempts. In addition, the Web-based monitoring application displayed attack logs in real time, enabling Administrators to monitor network security more effectively. The implementation demonstrates that the proposed system improves monitoring capability and supports network security management in the research environment.
Perancangan Protokol Self-Sovereign Identity untuk Autentikasi Sistem Layanan Kampus pada STT Terpadu Nurul Fikri Yudha Rizky Alvingky Alvingky; Yaasir Aidil Fitrah; Salman El Farisi
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 04 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i04.1945

Abstract

Campus service authentication systems in most universities still rely on passwords that are vulnerable to data breaches and cyber attacks. Self-Sovereign Identity (SSI) emerges as a digital identity paradigm that gives users full control, yet its implementation generally depends on complex blockchain infrastructure. This study aims to design a blockchain-free SSI-based authentication protocol for campus service systems at STT Terpadu Nurul Fikri. The research employs an engineering approach with stages including literature study, architecture design, prototype development, and evaluation through functional testing, performance testing, and User Acceptance Testing (UAT). The designed architecture uses the did:web method for campus digital identity, did:key for user identity, and SIOPv2 and OID4VP protocols for authentication. Functional testing results show all scenarios passed. Performance testing shows average VC creation time of 384 ms, did.json resolution of 404 ms, and SIOPv2 login of 112 ms, which is faster than blockchain-based approaches. UAT results through demonstration to partners indicate the system is considered easy to use and feasible to implement.
Implementasi Sistem Pendukung Keputusan Penentuan Area Ekspansi Jaringan Menggunakan Metode Moora Afrizal Nur Perdana; Aniq Astofa
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 04 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i04.2018

Abstract

Network expansion site selection is frequently based on subjective managerial judgment, creating a risk of misdirected decisions that undermine operational efficiency. This research addresses that gap by developing a web-based Decision Support System that applies the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) algorithm, using PT Sinar Komdigi Nusantara as the case study. The MOORA computation incorporates six weighted criteria: population density, public facility availability, distance to node or POP, competition level, area growth potential, and operational cost. It is applied across ten candidate site alternatives through matrix normalization and optimization value (Yi) calculation. The system was built following an Agile development approach using PHP and a MySQL database. Black box testing across all functional modules confirmed that the system operates according to its design specifications. The ranking output identified Griya Indah Serpong as the alternative with the highest optimization value (Yi = 0.1500), making it the top recommendation for network expansion. These findings confirm that the MOORA method produces measurable, consistent site recommendations free from decision maker subjectivity.
Rancang Bangun Supply Chain Management Berbasis Web pada PT Laco Alam Wijaya Raden Arizhafri Dzaky Arsandi; Dede Eko Saputro
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 04 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i04.2032

Abstract

PT Laco Alam Wijaya, a wood-processing manufacturing company, has continued to rely on manual recording mechanisms for its supply chain operations. This reliance has given rise to several persistent issues, including high levels of information asymmetry between divisions, difficulty in tracking real-time inventory monitoring of physical stock, and susceptibility to human error that results in discrepancies in managerial reports. This research aims to design and develop an integrated web-based Supply Chain Management (SCM) application to streamline operational workflows, accelerate report generation, and enhance employee productivity and time efficiency. The system was developed using the Rapid Application Development (RAD) methodology, encompassing requirements planning, user design, system construction implemented using the Python programming language, the Django framework, and a MySQL database and system testing. The resulting application provides centralized functionality for the Purchasing Division, Production Division, Quality Control for quality classification determination, and Sales Division. Implementation results demonstrate that the SCM system successfully integrates all operational activities into a single, integrated database. In conclusion, the implementation of this information system significantly minimizes the risk of information asymmetry, accelerates the monitoring of actual stock availability, and facilitates more accurate automation of monthly data recapitulation.

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