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INDONESIA
TEKNOSIA
Published by Universitas Bengkulu
ISSN : 19788819     EISSN : 27980588     DOI : https://doi.org/10.33369/teknosia.v17i1.28432
Core Subject : Science, Engineering,
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Engineering Transportation
A journal TEKNOSIA, Provides a forum for publishing the original research articles, review articles from contributors, and the novel technology news related to pure and interdisciplinary of sciences and engineering. Scientific articles dealing with sciences, technology and engineering fields of electric and electronics, mechanics, materials, structure, civil, informatics, computer, etc. are particularly welcomed. This journal encompasses original research articles, review articles, and short communications, including: Fundamental of Electrics; Fundamental of Electronics; Telecomunication; Mechatronics; Informatics Engineering; Software Engineering; System Engineering; Mechanical Engineering; Design; Manufacture; Energy and Conservation; Materials; Civil Engineering; Water and Resources Engineering; Transportation; Structure; Management; Bio-System Application.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 65 Documents
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HYBRID METHOD USING ITARA AND MACONT FOR SELECTING THE BEST CUSTOMERS IN A DECISION SUPPORT SYSTEM Junhai Wang; Setiawansyah Setiawansyah; Riska Aryanti
Teknosia Vol. 20 No. 1 (2026): Vol. 20 No. 01 (2026): June 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/teknosia.v20i1.48331

Abstract

This research is motivated by the company's challenges in objectively identifying high-value customers due to the numerous assessment criteria, heterogeneous data, and the use of conventional methods that are prone to subjective bias and ranking instability. To address these challenges, this study develops a decision support system based on the hybrid ITARA–MACONT method, where ITARA is used to determine criteria weights rationally based on indifference threshold deviation, while MACONT is applied to perform compromise aggregation in the alternative ranking process. The results show that the system can produce clear and consistent customer rankings, with Customer TY achieving a score of 0.7141 and ranking first, followed by Customer RD with a score of 0.6561 in second place, and Customer AH with a score of 0.5859 in third place. These findings indicate that the integration of ITARA–MACONT is effective in enhancing the objectivity, transparency, and stability of top customer selection results, thereby supporting strategic decision-making aimed at improving customer loyalty and business profitability.
Effect of Temperature on Slagging During Solid Refuse-Derived Fuel Combustion with Dolomite Additives: Pengaruh Temperatur Terhadap Slagging Pembakaran Bahan Bakar Jumputan Padat Dengan Penambahan Dolomit GALIH PRATAMA; Nur Hayati; Trisma Jaya Saputra
Teknosia Vol. 20 No. 1 (2026): Vol. 20 No. 01 (2026): June 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/teknosia.v20i1.49163

Abstract

This research analyzes the effect of combustion temperature on slagging formation in Solid Refuse-Derived Fuel (SRDF) and evaluates the effectiveness of dolomite additives in mitigating this issue. While SRDF is a promising alternative fuel for co-firing systems, its high ash and alkali metal content often lead to slagging, which can impair combustion performance. The experimental method utilized a muffle furnace with temperature variations of 600°C, 700°C, and 800°C for a duration of 120 minutes. The SRDF samples consisted of an 8:2 ratio of organic to inorganic waste, integrated with 10% dolomite additive based on a 50-gram total sample mass. Observed parameters included slagging mass, slag distribution, and calorific value. The results indicate that temperature significantly influences slagging formation. Furthermore, the addition of dolomite effectively reduces slag formation by increasing the ash fusion temperature through the creation of calcium-based compounds. With the additive, the fuel achieved a calorific value of 4,013.09 cal/g, meeting national (SNI) standards. Ultimately, dolomite proves to be an effective solution for optimizing SRDF utilization as a sustainable energy source in co-firing applications.
DETEKSI AKSARA ULU REJANG MENGGUNAKAN METODE YOU ONLY LOOK ONCE Noval Rizkiansyah; Ruvita Faurina; Widhia KZ Oktoeberza
Teknosia Vol. 20 No. 1 (2026): Vol. 20 No. 01 (2026): June 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/teknosia.v20i1.48664

Abstract

Aksara Ulu Rejang is a cultural heritage of Bengkulu that is starting to be forgotten due to the lack of literacy and digital documentation. To preserve it, this study developed an automatic detection system for aksara Ulu Rejang using the You Only Look Once (YOLO) method, a deep learning technique that is effective in real-time object detection. The research data were images of aksara Ulu Rejang from the Bengkulu Museum. The research process included data acquisition, image preprocessing (resize and augmentation), annotation with Roboflow, model training in Google Collaboratory, and evaluation using Mean Average Precision (mAP). The dataset consisted of 710 images with 253 letter and punctuation classes. The results showed that the YOLO model was able to detect the script well, obtaining an mAP value of 0.793 at an IoU threshold of 0.5–0.95. This model is expected to be the basis for developing a digital Ulu script recognition system to support the preservation of Bengkulu culture.
STUDI BIBLIOMETRIK: PENERAPAN ALGORITMA SUPPORT VECTOR MACHINE DALAM ANALISIS SENTIMEN BERBASIS WEB UNTUK KEPUASAN PELANGGAN Deni Ramadhan; Defni; Rostam Ahmad Efendi; Yulherniwati
Teknosia Vol. 20 No. 1 (2026): Vol. 20 No. 01 (2026): June 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/teknosia.v20i1.49393

Abstract

In the digital business era, customer satisfaction is a critical metric often evaluated through internet-based sentiment analysis, where Support Vector Machine (SVM) has emerged as a highly reliable algorithm. This study aims to map existing literature and identify future trends regarding the application of SVM in analyzing online sentiment for customer satisfaction. A bibliometric analysis was conducted using literature metadata from leading databases, with citation and trend analyses visualized via VOSviewer. Our network visualizations reveal key thematic clusters, highlighting a strong correlation between the SVM algorithm and the evaluation of customer reviews. Furthermore, density visualizations successfully identify specific research gaps, particularly concerning the integration of SVM with web-based platforms. These findings offer clear directions for future research. While the foundational applications of SVM have been extensively studied, exploring web-based data approaches still presents significant opportunities for future investigation.
A SEBARAN AREA BERMAIN LUAR RUANGAN DI PEMUKIMAN PADAT HUNI SEKITAR KAWASAN KOMERSIAL : Indonesia Atik Prihatiningrum; Panji Anom Ramawangsa; Debie Rizqoh; Eka Vuspa Sari
Teknosia Vol. 20 No. 1 (2026): Vol. 20 No. 01 (2026): June 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/teknosia.v20i1.49571

Abstract

High density neighbourhood areas directly adjacent to commercial areas such as markets, commercial corridors, and malls are environments that face significant challenges in creating a child-friendly environment. This study aims to identify unplanned outdoor play areas as areas discovered or created by children and forms of adaptation to find outdoor play spaces around their neighborhoods. This study uses a qualitative research design to identify unplanned areas as areas discovered or created by children for play using direct observation methods, interviews and documentation are used to validate the involvement of children who play actively in their play locations. The results show that the distribution of planned and unplanned play areas in densely populated residential areas around commercial areas has a ratio of 1:7. Unplanned play areas are preferred and frequently visited by children based on ease of access, ease of supervision, ease of meeting and playing with friends, and the freedom to play with types of games that are mobile games with and without equipment. The distribution of unplanned play areas utilizes urban circulation and transition spaces for play areas with types of games that are adaptive, minimal in material and utilize the physical characteristics of the space. Children actively create temporary play areas by re-functionalizing space, marking territory and social negotiation.

Page 7 of 7 | Total Record : 65

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