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All Journal Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Green Engineering: Journal of Engineering and Applied Science Jurnal Sistem Informasi dan Ilmu Komputer
Wawan Hermawansyah
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering

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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.
Sistem Pendukung Keputusan untuk Rekomendasi Obat Luar dengan Menggunakan Metode Simple Additive Weighting (SAW) Rudi Hermawan; Rahman Abdillah; Wawan Hermawansyah; Nur Alam
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 2 (2025): Mei: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v3i2.1026

Abstract

Quality health services are an important factor in increasing patient trust in medical facilities and health workers. One of the crucial aspects is accuracy in providing drug recommendations that suit the patient's needs. Drug recommendations are influenced by various criteria, including effectiveness, safety, price, availability, and potential side effects. However, in practice, there is often a gap between the patient's expectations and the reality of the treatment received. This can affect patient satisfaction and perception of health services. To overcome these challenges, a Decision Support (SPK) is needed that is able to provide drug recommendations in a more objective, measurable, and structured manner. This study uses the Simple Additive Weighting (SAW) method because of its advantages in processing various complex and diverse criteria. SAW works by giving weight to each attribute, normalizing the data, and then calculating the preference value to determine the best alternative from several available drug options. The results of the study show that the SAW method is able to produce more structured and consistent recommendations than manual determination. In this study, the drug with the highest preference value, which is 92.00, was recommended as the top choice. These findings confirm that SPK and SAW-based approaches can be an effective solution in supporting medical personnel, especially in the selection of external drugs. In addition to improving decision accuracy, this SPK also has the potential to be further developed, for example by integrating into an electronic medical record (EMR) or based on a mobile application, so that its use becomes more practical and accessible. Thus, the implementation of the SAW method in SPK not only provides benefits on the technical aspect, but also contributes to improving the quality of health services as a whole.
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 Heri Arifin Ibnu Adkha Nur Alam Rudi Hermawan