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  • Learning to Read the Qur’an

    Learning to Read the Qur’an

    Join us for a Qur’an reading session to improve and perfect our recitation together.

    🎤 With: Ustadz Sofyan Yahya, S.Ag., C.MTQ.

    📅 Friday, April 10, 2026 ⏰ 13:00 – 14:30 WIB 📍 Offline: Prayer Room (Mushola), 16th Floor, UNIKOM Smart Building

    💳 Channel your Infaq & Sadaqah to: BNI Account: 1335193823 Account Name: MT. Ashfiyatun Nisa UNIKOM

    📞 Information: 0859 2624 3634 📱 Instagram: @mtnisa_unikom ▶️ YouTube: mtnisa_unikom

    Organized by: 📖 MT. Ashfiyatun Nisa UNIKOM 🎓 Universitas Komputer Indonesia (UNIKOM) 🏛 Science and Technology Foundation (Yayasan Ilmu Pengetahuan dan Teknologi)

  • Degree Certificate & Academic Transcript Certification Services

    Degree Certificate & Academic Transcript Certification Services

    Universitas Komputer Indonesia (UNIKOM) provides certified true copies of degree certificates and academic transcripts for alumni who require official documents for job applications, further studies, or other administrative purposes.

    You can request document certification in two ways:

    🔹 In-Person (Offline) Alumni can visit us directly at: 📍 Student Admissions Service Center Lobby of UNIKOM Smart Building (New Building)

    🕒 Office Hours Monday – Friday 08:00 – 15:00 WIB

    🔹 Online: For alumni residing out of town or unable to visit the campus, certification requests can be made online by contacting our service email beforehand.

    📧 Information & Services UNIKOM Directorate of Administration Email: admisi@email.unikom.ac.id

  • Geographic Information System (GIS) Application to Identify the Distribution of Tourist Attractions and Supporting Facilities Related to the Sustainable Development Goals (SDGs)

    Author: Lia Warlina ; Afredi A.

    DOI: 10.17509/ijost.v11i2.89803

    Abstract

    The purpose of this research is to examine the distribution patterns of tourism attractions, hotels, and restaurants, and to explore their implications for achieving the Sustainable Development Goals (SDGs) in Lembang District. To analyze these distributions, a quantitative approach was applied using nearest neighbor analysis and Geographic Information System (GIS) techniques. A total of 38 tourism attractions were identified, including 17 natural attractions, 17 artificial attractions, and four cultural attractions; all exhibiting dispersed distribution patterns. There are 32 hotels with random distribution patterns and 178 restaurants that are clustered. Natural attractions are characterized by hilly terrain, forests, valleys, and rivers, which result in physical separation between some sites. In contrast, artificial and cultural attractions tend to be concentrated in more accessible areas, particularly along main routes. Notably, villages such as Cikahuripan, Cikidang, Mekarwangi, Suntenjaya, Wangunharja, and Wangunsari contain tourism attractions but lack adequate supporting facilities, including hotels and restaurants. The spatial allocation of tourism attractions, accommodations, and restaurants significantly influences the achievement of the SDGs. Tourism contributes to 14 of the 17 SDGs, especially SDG 8 (promoting economic opportunities), SDG 1 (reducing poverty), and SDG 5 (advancing gender equality). © 2026 Tim Pengembang Jurnal UPI.

    Author keywords

    GIS; Nearest neighbor analysis; SDGs; Tourism attraction


    This article can be accessed at: https://www.scopus.com/pages/publications/105015322980

  • How to Improve Hydroponic Leafy Vegetable Plant Productivity by Balancing Nutrient Solution, Total Dissolved Solids (TDS), and pH Completed with Literature Review on Standard Vegetable pH & TDS Requirement to Support Sustainable Development Goals (SDGs)

    How to Improve Hydroponic Leafy Vegetable Plant Productivity by Balancing Nutrient Solution, Total Dissolved Solids (TDS), and pH Completed with Literature Review on Standard Vegetable pH & TDS Requirement to Support Sustainable Development Goals (SDGs)

    Author: Senny Luckyardi ; Agis Abhi Rafdhi ; Annisa Wulan Sari; Hewa Majeed Zangana ; Eddy Soeryato Soegoto

    DOI: 10.17509/ajse.v6i1.89992

    Abstract

    This study explores how to improve the productivity of hydroponic leafy vegetables by balancing Total Dissolved Solids (TDS) and nutrient solution pH. Using bok choy in a floating raft system, the research applies a controlled experimental design to observe how these parameters interact in supporting vegetative growth and yield. Daily monitoring and careful adjustment of nutrient levels and pH are emphasized to ensure optimal nutrient uptake. Balanced TDS and pH conditions enhanced leaf formation and biomass accumulation, while imbalances caused nutrient stress and growth inhibition. This study offers practical guidance for growers to synchronize TDS and pH in real-time for improved nutrient management. The findings contribute to precision hydroponics aligned with sustainable agriculture, specifically supporting sustainable development goals (SDGs) for SDG 2 (Zero Hunger) through efficient food production and SDG 12 (Responsible Consumption and Production) by encouraging optimal use of agricultural inputs. © 2026 Universitas Pendidikan Indonesia.

    Author keywords

    Hydroponic; Leafy vegetable; pH; Sustainable development goals (SDGs); Total dissolved solids (TDS)

    This article can be accessed: https://www.scopus.com/pages/publications/105018607274

  • Enhancing Trust in Digital Finance: Blockchain and AI for Secure And Transparent Fintech Solutions

    Enhancing Trust in Digital Finance: Blockchain and AI for Secure And Transparent Fintech Solutions

    Author: Senny Luckyardi ; Muhamad Fahrezi ; Eddy Soeryanto Soegoto

    Abstract

    The rapid advancement of financial technology (FinTech) has brought significant innovations while raising concerns about security, transparency, and trust. This study explores how blockchain and artificial intelligence (AI) enhance trust in digital finance by strengthening security, improving fraud detection, and ensuring regulatory compliance. This study systematically reviews the integration of blockchain and AI in financial operations using a qualitative research approach. The findings indicate that blockchain enhances transaction security through decentralization and immutability, while AI significantly improves fraud detection and risk assessment through predictive analytics and machine learning. These advancements are driven by blockchain’s ability to ensure data integrity and AI’s capacity to analyse vast datasets in real time. This research highlights the potential of these technologies to boost consumer confidence, promote financial inclusion, and enhance the resilience of digital financial systems. However, regulatory complexities, high integration costs, and interoperability issues must be addressed to enable broader adoption. © School of Engineering, Taylor’s University.

    Author keywords

    Artificial intelligence (AI); Blockchain; Digital finance; Fraud detection; Regulatory compliance
    This article can be accessed at: https://www.scopus.com/pages/publications/105001500348

  • Enhancing Trust in Digital Finance: Blockchain and AI for Secure And Transparent Fintech Solutions

    Author: Senny Luckyardi ; Muhamad Fahrezi ; Eddy Soeryanto Soegoto

    Abstract

    The rapid advancement of financial technology (FinTech) has brought significant innovations while raising concerns about security, transparency, and trust. This study explores how blockchain and artificial intelligence (AI) enhance trust in digital finance by strengthening security, improving fraud detection, and ensuring regulatory compliance. This study systematically reviews the integration of blockchain and AI in financial operations using a qualitative research approach. The findings indicate that blockchain enhances transaction security through decentralization and immutability, while AI significantly improves fraud detection and risk assessment through predictive analytics and machine learning. These advancements are driven by blockchain’s ability to ensure data integrity and AI’s capacity to analyse vast datasets in real time. This research highlights the potential of these technologies to boost consumer confidence, promote financial inclusion, and enhance the resilience of digital financial systems. However, regulatory complexities, high integration costs, and interoperability issues must be addressed to enable broader adoption. © School of Engineering, Taylor’s University.

    Author keywords

    Artificial intelligence (AI); Blockchain; Digital finance; Fraud detection; Regulatory compliance


    This article can be accessed at: https://www.scopus.com/pages/publications/105001500348

  • Chili Plant Monitoring System Using Yolo Object Detection Technology

    Chili Plant Monitoring System Using Yolo Object Detection Technology

    Author: Harun Sujadi ; Budiman B. ; Nunu Nurdiana ; Dony Susandi ; Elba Ghiffari Fitriasina ; Trustorini Handayani

    Abstract

    Traditional farming in chili cultivation often needs help in monitoring plant conditions efficiently. Farmers generally use manual methods to identify pests and determine soil nutrient requirements, which are often inaccurate and time-consuming. This study aimed to improve the efficiency and productivity of chili cultivation by implementing smart farming technology using the YOLO (You Only Look Once) algorithm for real-time leaf pest detection. The method used is system development, which includes data collection, model training, and system performance evaluation. The test results showed that YOLO technology can identify pests with reasonably high accuracy, allowing farmers to take quick and precise action. The implementation of smart farming is expected to increase productivity, reduce losses due to pests, and support sustainable agricultural practices. The main contribution of this study was the development of a YOLO-based monitoring system that can support the efficiency of chili farming in Indonesia. © School of Engineering, Taylor’s University.

    Author keywords

    Agriculture; Chile plants; Research and development; Smart farming; YOLO


    This article can be accessed at: https://www.scopus.com/pages/publications/105002405701

  • Carbon Particle Size from Galangal Rhizomes as the Sustainable Adsorbent: Synthesis and Mathematical Calculation Analysis in the Adsorption Isotherm Characteristics

    Carbon Particle Size from Galangal Rhizomes as the Sustainable Adsorbent: Synthesis and Mathematical Calculation Analysis in the Adsorption Isotherm Characteristics

    Author: Asep Bayu Dani Nandiyanto ; Alifiyha Nayla Putri Akbar ; Shilla Aulia Suhandi ; Risti Ragadhita ; Dwi Fitria Al Husaeni ; Meli Fiandini ; Abdulkareem Sh. Mahdi Al-Obaidi ; Herry Saputra ; Senny Luckyardi ; Muhammad Aziz

    DOI: 10.53898/josse2024422

    Abstract

    This study investigates the impact of carbon particle size derived from Galangal Rhizomes on adsorption isotherm characteristics, aiming to establish its effectiveness as an adsorbent. Ga-langal Rhizomes were selected due to their rich carbon compounds, including cellulose, hem-icellulose, lignin, starch, pectin, and fiber, making them ideal for carbon-based adsorbents. The carbonization process involved subjecting Galangal Rhizomes to 250°C for 9 hours, then mill-ing and sieving to obtain specific particle sizes (500, 1000, and 2000 µm). Characterization was done using digital microscopy and Fourier-transform infrared spectroscopy. Batch adsorp-tion experiments were conducted using a curcumin solution as the model adsorbate, comparing results with ten standard isotherm models. Findings revealed that small carbon particles (500 µm) underwent monolayer adsorption, while large particles (1000 and 2000 µm) exhibited multilayer adsorption. The study concluded that Galangal Rhizomes-derived carbon particles are effective for colour waste cleanup, providing a natural, sustainable, and environmentally friendly solution aligned with sustainable development goals (SDGs). © 2024 Asep Bayu Dani Nandiyanto.

    Author keywords

    Adsorption; Carbon; Curcumin Solution; Isothermic galangal rhizomes; Particle distribution; Sustainable development goals

    This article can be accessed at: https://www.scopus.com/pages/publications/85214430183

  • Geospatial Intelligence Framework for BTS Infrastructure Planning Toward Universal Internet Access Target in Indonesia

    Author: Anjar Dimara Sakti ; Andani, I Gusti Ayu Andani ; Anissa Dicky Putri ; Muhammad Rizky Zakiar ; Ismail Al Faruqi ; Cokro Santoso ; Rezzy Eko Caraka ; Pitri Rohayani ; Fabian Surya Pramudya ; Arie Wahyu Wijayanto ; Angga Setiyadi ; Wervyan Shalannanda

    DOI: 10.1016/j.jag.2024.104274

    Abstract

    Equitable internet coverage has emerged as a key global priority, which is essential for promoting inclusive and sustainable development. The Indonesian government aims to provide universal internet access by 2024, particularly in remote regions. This study introduces a novel machine-learning-based approach to identify the priority areas for deploying Base Transceiver Station (BTS) towers, which are crucial for achieving the internet access targets of the government. A BTS Network Priority Index was developed by integrating the internet demand estimates with a BTS suitability index derived from key predictors: proximity to fiber optic stations, physical–environmental suitability, and infrastructure–economic readiness. The model identified areas with high internet demand and high BTS suitability as the most critical for immediate development, covering 20 km2. Additionally, future BTS development should target areas with high demand but medium suitability (900 km2) and medium demand but high suitability (280 km2). To validate the methodology, the Random Forest model was employed, which achieved an area under the curve value of 0.7315, indicating strong predictive performance. For the BTS Deployment Suitability parameter, the median was 0.65, with the lower and upper quartiles at 0.44 and 0.85, respectively, confirming that most proposed locations are highly suitable for development. This systematic approach provides data-driven insights for the equitable distribution of BTS towers to ensure efficient internet infrastructure expansion across Indonesia. Furthermore, the study offers a framework that can be adapted by other countries aiming to improve their digital infrastructure and achieve comprehensive, equitable internet access. © 2024 The Author(s)

    Author keywords

    Internet accessibility; Machine learning; Remote sensing; Spatial assessment


    This article can be accessed at: https://www.scopus.com/pages/publications/85209593186