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All Journal Sinergi Jurnal Teknologi dan Sistem Komputer Widya Cipta : Jurnal Sekretari dan Manajemen Jurnal Informasi dan Teknologi BRITech : Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan International Journal of Health, Economics, and Social Sciences (IJHESS) Jurnal Abdimas ADPI Sains dan Teknologi Edu Cendikia: Jurnal Ilmiah Kependidikan Transformasi Indonesian Community Journal Jurnal Ilmiah Teknik Informatika (TEKINFO) Journal International of Lingua and Technology West Science Business and Management The Eastasouth Journal of Information System and Computer Science Journal Innovations Computer Science Innotech Journal of Informatics and Advanced Computing
Satya Arisena Hendrawan
Universitas Siber Indonesia
Agriculture, Biological Sciences & Forestry Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Transportation Other

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PREDIKSI BIAYA LOGISTIK MENGGUNAKAN METODE K-MEANS Widodo, Abung; Widyastuti, Rifka; Arisena Hendrawan, Satya
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 1 No 1 (2024): Innotech Issue Januari 2024
Publisher : Universitas Siber Indonesia

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Abstract

K-Means Clustering is a non-hierarchical data clustering method that groups data in the form of one or more clusters/groups. The role of costs is very important and cannot be separated from the activities of a company. The GAP between operational costs and work unit business exceeds the breakdown costs, causing an increase in operational costs every year. Financing logistics needs can be done with this method because this method can select and group clusters to be made which are considered suitable for operational costs which have a number of different groupings. It also aims to optimize the use of costs and optimize company profits. In the first experiment using 3 centroid cluster centers obtained randomly. The 3 centroid centers used in financing the company's operations are office maintenance costs, machine maintenance costs, and stationery costs which are grouped in the 2020 and 2021 periods for each operational cost date. This grouping aims to increase operational cost efficiency and increase the company's profits more optimally.
Metode End User Computing Satisfication untuk Analisis Kepuasan Pengguna E-Learning MyCyber Hendrawan, Satya Arisena; Muthmainnah, Syifa Nurlaeli
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 1 (2025): Innotech Issue Januari 2025
Publisher : Universitas Siber Indonesia

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Abstract

There is an error in the attendance recording, as well as a lack of notification features and replayable instructional videos. These issues impact user satisfaction and experience when engaging with the E-Learning of MyCyber. A study was conducted on the Indonesian Cyber University e-learning website to measure user satisfaction using the End User Computing Satisfaction (EUCS) method. Data collection was carried out through observation, literature review, and questionnaires. Partial analysis of user satisfaction from 80 active student respondents at Indonesian Cyber University revealed that 3 variables positively influenced user satisfaction: accuracy, ease of use, and timeliness, while content and format did not have a significant effect. Meanwhile, the simultaneous test results showed that the variables content, accuracy, format, ease of use, and timeliness influenced the satisfaction of users of the Indonesian Cyber University e-learning website by 83.8%. Recommendations for Indonesian Cyber University include improving and optimizing its e-learning website, particularly in content and information presentation, to enhance user satisfaction when using the E-Learning.
Analysis of the Digital System-Based Academic Factors and the Risk of Student Dropout Using Chi-Square Test for Data Driven-Interventions Satya Arisena Hendrawan
Edu Cendikia: Jurnal Ilmiah Kependidikan Vol. 5 No. 02 (2025): Research Articles, August 2025
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/educendikia.v5i02.6736

Abstract

Student dropout is a persistent challenge in the digital era of higher education. Using the chi-square test, this study examines whether two digital academic indicators—Grade Point Average (GPA) and attendance—are associated with dropout risk. We analyzed SIAKAD records for 100 Information Systems students at Bina Sarana Informatika University (cohorts 2020–2022), categorizing GPA (<2.75 vs. ?2.75) and attendance (<80% vs. ?80%). Results show a significant association between GPA and dropout (?² = 21.54, p < 0.001) and between attendance and dropout (?² = 29.85, p < 0.001). Students with low GPA and low attendance formed the highest-risk group (75% dropout), while high GPA and high attendance corresponded to the lowest risk (5%). These findings translate into simple, replicable rules for early detection and timely intervention: students below the GPA and attendance thresholds should trigger counseling, remedial support, or study-load adjustments. The contribution of this study is practical and immediate. Unlike approaches that rely on complex predictive models, a basic chi-square framework applied to routinely collected SIAKAD data yields actionable risk profiles that institutions can adopt with minimal technical overhead.
Site Visit and Needs Analysis for IoT and Solar Energy Integration in Greenhouse and Aquaponics Systems in Bojong Renged Village, Tangerang Regency Fahmy Rinanda Saputri; Muhammad Salehuddin; Arief Iswariyadi; Satya Arisena Hendrawan; Vannessa Wong
I-Com: Indonesian Community Journal Vol 5 No 4 (2025): I-Com: Indonesian Community Journal (Desember 2025)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/i-com.v5i4.8368

Abstract

This community service project aims to monitor the progress of implementing Internet of Things (IoT) and solar-powered agricultural systems in Bojong Renged Village, Tangerang Regency. A field visit was conducted on October 21, 2025, by a collaborative team from Universitas Multimedia Nusantara and Universitas Siber Indonesia following an initial Focus Group Discussion (FGD). The methods applied include field observations of greenhouse and aquaponics construction, interviews with farmer and fisheries groups, and environmental measurements such as temperature, humidity, water quality, and site conditions. The visit confirmed the installation of lightweight steel structures for the greenhouse and preliminary frameworks for aquaponics above fish ponds. Partners expressed the need for IoT-based temperature, pH, soil moisture, and water quality monitoring systems powered by solar energy. These findings provide practical implications for system design, including sensor selection, energy capacity planning, and community training modules. The results serve as a foundation for the next implementation phase toward a sustainable smart farming and aquaculture model.
SIMULASI SISTEM PEMANTAUAN AIR SUNGAI BERBASIS INTERNET OF THINGS DAN KONTROL LOGIKA FUZZY Hendrawan, Satya Arisena; Harun, Rofiq; Amirah, Amirah
TRANSFORMASI Vol 21, No 2 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i2.445

Abstract

This study aims to develop a river water hazard monitoring system based on the Internet of Things (IoT) and fuzzy logic. This system is designed to help the community in identifying the level of danger of river flows. By using ultrasonic sensors and Arduino Uno microcontrollers, Cisco Packet Tracer simulation, Fuzzy logic, and visualization using Proteus software. This system is capable of monitoring water levels in real-time, providing early warning notifications with a Fuzzy Logic approach to improve accuracy and response to critical conditions. The study uses the ADDIE development model, problem analysis using SWOT (Strength, Weakness, Opportunity and Threat), Feasibility Analysis using TELOS Analysis which analyzes five main aspects, namely Technical, Economic, Legal, Operational, and Schedule. The results of the Black Box test show that each function in the system works according to user needs. Based on the results of the UAT test, the average overall score is 4.51 (Very Good category). This means that the water level monitoring system developed with fuzzy logic received positive feedback from respondents. This system is considered accurate in detecting water levels, easy to use, and reliable in various environmental conditions.Keywords: Internet of Things, fuzzy logic, ultrasonic, Arduino, SWOT, TELOS
Co-Authors Afdhal Chatra Perdana Agus Trihandoyo Amirah, Amirah Anang Martoyo Anang Martoyo Arief Iswariyadi Arnes Yuli Vandika Dana Santoso Saroso Diky Wardhani Diky Wardhani Dwipo Setyantoro Fahmy Rinanda Saputri FITRIYASARI, MALIATUL Hasan Basri Herwanto Herwanto Herwanto Herwanto Ike Pertiwi Windasari Jatmiko Wahyu Nugroho Judijanto, Loso Legito Loebis, Iin Almeina Loso Judijanto Muhammad Bitrayoga Muhammad Salehuddin Muhiban, Ayi Muthmainnah, Syifa Nurlaeli Nawir, Fadliyani Nurjanah, Noneng Nurul Iman Putra, Haris Satria Putriarrum Kusuma Wardani R Rizal Isnanto Rifka Widyastuti, Rifka Rizki Hesananda Rofiq Harun Satria, Deki Soemarno Hidayatullah Taufiqurokhman Taufiqurokhman TAUFIQUROKHMAN, TAUFIQUROKHMAN Teddy Oswari Tristyanti Yusnitasari Vannessa Wong Widodo, Abung Yayang Ayu Nuraeni