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All Journal Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Green Engineering: Journal of Engineering and Applied Science Jurnal Sistem Informasi dan Ilmu Komputer
Ibnu Adkha
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Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions

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Sosialisasi Penerapan Algoritma Media Sosial Youtube untuk Menaikkan Jumlah Pengunjung Rahman Abdillah; Ibnu Adkha; Dwi Puspita Agustin; Nur Alam
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Vol. 4 No. 1 (2025): Jurnal Hasil Pengabdian Masyarakat Indonesia
Publisher : Fakultas Teknik Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/karunia.v4i1.3075

Abstract

YouTube is one of the leading video-based social media platforms with a complex algorithm for recommending content to users. Understanding this algorithm is crucial for content creators to increase visitor numbers and audience engagement. This socialization activity aims to educate beginner content creators on video optimization strategies to enhance discoverability and recommendation by YouTube’s system. The socialization was conducted online via Zoom, utilizing presentations, interactive discussions, and simulations of YouTube Studio features. The results of this activity indicate an improvement in participants’ understanding of key factors influencing the YouTube algorithm, such as watch duration, user interactions, and metadata optimization. Some participants who implemented the taught strategies experienced up to a 30% increase in video views within a month. However, challenges remain in maintaining content consistency and utilizing YouTube analytics effectively. Therefore, continuous mentoring is necessary to help participants refine more effective strategies. This socialization is expected to enable content creators to maximize the YouTube algorithm to enhance their channel visibility and growth.
Pengujian Perangkat Lunak Sistem Informasi Inventori pada Usaha Jasa Pengiriman Paket Rahman Abdillah; Rudi Hermawan; Wawan Hermawansyah; Ibnu Adkha; Heri Arifin
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 2 No. 4 (2024): Juli: Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v2i4.199

Abstract

Software testing is one of the aspects in software design methodology. The author conducted research by taking a case study on the inventory stock information system in a goods delivery service business. The testing technique for this information system uses the black box testing method, with the Equivalence Partitioning technique. From the testing results, the author found irregularities in the database and conducted a more in-depth analysis of the class diagram. The diversity of software types suggests the importance of flexibility and improvisation during software testing, such as determining the appropriate test cases, selecting the appropriate testing methods, and determining the suitable testing environment. Software testing should also consider the effectiveness of resources, project scheduling and deadlines, user/client requests, the availability of testing infrastructure, and other parameters that may be more complex.
Assessment of Life-Cycle Carbon Footprint Reduction Potential through Green Roof and Vertical Farming Integration in Urban High-Rise Buildings Rahman Abdillah; Wawan Hermawansyah; Ibnu Adkha
Green Engineering: International Journal of Engineering and Applied Science Vol. 1 No. 4 (2024): October: Green Engineering: International Journal of Engineering and Applied Sc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v1i4.250

Abstract

Rapid urbanization in major cities has led to the decreasing availability of green spaces, exacerbating urban challenges such as the Urban Heat Island (UHI) effect, high energy consumption in buildings, and air pollution. In response, green architecture innovations like green roofs and vertical farming present opportunities for reducing carbon footprints and improving urban sustainability. This study explores the potential for life-cycle carbon footprint reduction through the integration of green roofs and vertical farming systems in high-rise buildings, focusing on energy savings, environmental impact, and air quality improvements. Using Life-Cycle Assessment (LCA) methodology, the research evaluates carbon emissions reduction, operational energy savings, and ecosystem benefits from different building scenarios. Simulation models were developed for conventional high-rise buildings and those incorporating green roofs and vertical farming. EnergyPlus, SketchUp, and SimaPro software were used for energy consumption calculations and carbon emissions modeling. The study analyzes various intervention scenarios-baseline (no vegetation), green roof only, vertical farming only, and a combined system-based on tropical climate data from cities like Jakarta, Surabaya, and Kuala Lumpur. Results reveal that the integration of both green technologies significantly reduces cooling demand, lowers CO₂ emissions, and improves urban microclimates by reducing surface temperatures and enhancing air quality. Policy recommendations and guidelines for adopting green construction practices in tropical regions are provided, alongside suggestions for future research on optimizing these technologies, conducting economic modeling, and evaluating multi-building approaches at a district scale.
Sistem Pakar Berbasis Pengetahuan Menggunakan Metode Forward Chaining untuk Rekomendasi Peminatan Jurusan SMK Rahman Abdillah; Alfito Yudha Ramadhan; Wawan Hermawansyah; Ibnu Adkha; Nur Alam
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 4 (2025): JNovember :urnal Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i4.6037

Abstract

The purpose of this scientific paper is to design and implement a knowledge-based expert system to assist students in determining their major specializations at Vocational High Schools (SMK) more objectively and accurately. A major problem frequently faced by SMK students is the mismatch in department selection caused by a lack of understanding regarding their own potential and the specific criteria of each competency. To address this issue, the system was developed using the Forward Chaining method as the inference engine. This method operates in a data-driven manner, beginning with the collection of facts such as interests, academic abilities, and psychological aspects, which are then matched against a Knowledge Base consisting of IF-THEN logical rules. Based on system testing results, the inference engine is capable of processing the list of facts to generate a specialization diagnosis for SMK students and provide the most relevant departmental recommendations, such as Computer and Network Engineering (TKJ), Accounting, Office Automation and Governance (OTKP), or Marketing. The research results indicate that the implementation of the Forward Chaining method is effective in accelerating the decision-making process and minimizing placement errors. This expert system is expected to serve as a tool for Guidance and Counseling (BK) teachers in providing appropriate career direction for students based on structured empirical data.
Co-Authors Abdillah, Rahman Alfito Yudha Ramadhan Dwi Puspita Agustin Heri Arifin Nur Alam Rudi Hermawan Wawan Hermawansyah