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INDONESIA
Jurnal Ilmiah Teknologi dan Rekayasa
Published by Universitas Gunadarma
ISSN : 14109093     EISSN : 20898088     DOI : http://dx.doi.org/10.35760/tr.
Core Subject : Science, Engineering,
Automotive Engineering Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology
Jurnal ini diterbitkan secara berkala tiga kali dalam setahun, April, Agustus, dan Desember. Artikel yang dimuat dalam jurnal ini merupakan artikel ilmiah hasil penelitian tentang teknologi dan rekayasa yang meliputi teknik informatika, teknik elektro, teknik mesin, dan teknik industri. Artikel dapat ditulis dalam bahasa indonesia maupun bahasa inggris.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 8 Documents
 1 
Search results for , issue "Vol 30, No 1 (2025)" : 8 Documents clear
INTEGRATING RENEWABLE ENERGY SOLUTIONS IN SUSTAINABLE BUILDING PROJECTS: A CASE STUDY OF NIGERIAN URBAN CENTERS (This article has been retracted due to findings of duplicate publication) Unegbu, Hyginus Chidiebere Onyekachi; YAWAS, Danjuma S.; Dan-asabe, Bashar; Alabi, Abdulmumin Akoredeley
Jurnal Ilmiah Teknologi dan Rekayasa Vol 30, No 1 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/tr.2025.v30i1.12836

Abstract

This study explored the integration of renewable energy solutions in sustainable building projects across three major Nigerian urban centers: Lagos, Abuja, and Port Harcourt. The research focused on the viability and impact of solar photovoltaic (PV) systems, wind energy, and biomass waste-to-energy solutions in reducing energy consumption and greenhouse gas (GHG) emissions. Data were collected through interviews, site visits, and simulations using energy performance modelling software. Advanced data analyses, including cost-benefit analysis (CBA), sensitivity analysis, and life cycle assessment (LCA), were conducted to assess financial viability and environmental impact. The results show that solar PV systems are the most effective, providing energy savings of 25% to 35% with a payback period of 6 to 8 years. Biomass waste-to-energy projects demonstrated promise in industrial settings, while wind energy adoption remains limited due to high upfront costs and longer payback periods. The study identifies key barriers to adoption, such as high initial capital costs, lack of technical expertise, and weak policy enforcement. Policy recommendations include increasing financial incentives, improving policy enforcement, building local technical capacity, and fostering public-private partnerships to accelerate renewable energy adoption in Nigeria’s urban centers.
AZOLLA AND DUCKWEED PYROLYSIS PROCESS TO BECOME ENVIRONMENTALLY FRIENDLY FUEL Kamal, Dianta Mustofa; Syuriadi, Adi; Gunadi, Gun Gun R; Heryana, Ghany
Jurnal Ilmiah Teknologi dan Rekayasa Vol 30, No 1 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/tr.2025.v30i1.13921

Abstract

Pyrolysis is a thermochemical conversion process carried out to efficiently convert biomass, such as azolla and duckweed, to produce environmentally friendly fuels. This study aims to compare the results of the pyrolysis process of azolla waste with duckweed into fuel. This study uses a pyrolysis reactor to produce fuel products whose main products are syngas, bio-oil, and environmentally friendly carbon charcoal. From this study, it was found that azolla only produces 0.6% oil. This is 2.07% lower than duckweed, so duckweed is a potential raw material for bio-oil. On the other hand, azolla is able to produce more syn-gas fuel than duckweed, as evidenced by the longer ignition of azolla than duckweed.
IMPLEMENTASI VIRTUAL REALITY PT. PLN (PERSERO) GARDU INDUK TEGANGAN EKSTRA TINGGI BALARAJA Rois Abid, M. Nur; Hidayat, Agus
Jurnal Ilmiah Teknologi dan Rekayasa Vol 30, No 1 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/tr.2025.v30i1.13966

Abstract

Kesulitan dalam mengakses informasi secara fisik serta kebutuhan untuk memahami kondisi infrastruktur listrik menjadi tantangan yang dihadapi. Oleh karena itu, aplikasi berbasis Virtual Reality (VR) dikembangkan untuk memberikan representasi visual kondisi fisik secara virtual dan mempermudah akses informasi bagi pengguna. Dengan kemajuan teknologi, VR memungkinkan interaksi dengan lingkungan yang disimulasikan oleh komputer. Aplikasi ini dikembangkan menggunakan perangkat lunak grafis 3D, yaitu Blender 2.78 dan Unity 5.6.2f1. dengan metode pengembangan Waterfall serta diuji menggunakan Blackbox. Fitur yang tersedia mencakup profil PLN sebagai sumber informasi perusahaan, peta lokasi untuk memudahkan navigasi pengguna, serta pengalaman VR yang memungkinkan eksplorasi kondisi fisik secara interaktif. Hasil implementasi menunjukkan bahwa aplikasi ini berfungsi dengan baik, dengan interaksi yang dilakukan melalui layar komputer menggunakan mouse dan keyboard.
PERBANDINGAN MODEL MACHINE LEARNING DALAM ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI E-COMMERCE Fahnun, Budi Utami; Muhammad, Sy Aifero Sayyidina
Jurnal Ilmiah Teknologi dan Rekayasa Vol 30, No 1 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/tr.2025.v30i1.13530

Abstract

Fitur rating dan ulasan di Google Play Store memiliki dampak besar terhadap keputusan pengguna dalam mengunduh aplikasi, karena ulasan dari pengguna sebelumnya sering menjadi faktor utama dalam menilai kualitas suatu produk. Penelitian ini melakukan analisis sentimen terhadap ulasan aplikasi e commerce menggunakan pendekatan pelabelan ulasan berdasarkan skor dan membandingkan kinerja algoritma klasifikasi Multinomial Naïve Bayes, Random Forest, Extra Trees Classifier, dan Support Vector Machine (SVM). Dataset yang digunakan terdiri dari 2000-2200 baris data, dengan dua skema pembagian rasio data latih dan data uji yaitu 6:4 dan 8:2, untuk menemukan model dengan kinerja terbaik. Hasil pelabelan menggunakan pendekatan score-based labeling menunjukkan bahwa ulasan negatif paling dominan pada aplikasi Shopee dan Tokopedia, sementara ulasan positif mendominasi aplikasi Blibli. Eksperimen menunjukkan bahwa SVM secara konsisten mencapai nilai akurasi tertinggi pada dataset dari ketiga aplikasi tersebut. Secara spesifik, akurasi yang dicapai pada dataset Shopee adalah 90% dengan rasio data latih dan data uji 8:2, pada dataset Blibli adalah 91% dengan rasio 6:4, dan pada dataset Tokopedia adalah 83% dengan rasio 8:2. Capaian didapat dengan kombinasi hyperparameter kernel linear, Radial Basis Function (RBF), polinomial, dan sigmoid serta tingkat penalti terhadap kesalahan klasifikasi (c) dengan nilai 0.1, 1, dan 10. Temuan ini membuktikan algoritma SVM menunjukkan performa terbaik.
DESIGN OF A TELEGRAM-INTEGRATED GRAFANA NETWORK MONITORING SYSTEM FOR ENHANCED FAULT DETECTION AND REAL-TIME NOTIFICATION Hakim, Nurul Fahmi Arief; Elvyanti, Siscka; Ardiansyah, Yogi
Jurnal Ilmiah Teknologi dan Rekayasa Vol 30, No 1 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/tr.2025.v30i1.14058

Abstract

Network device monitoring has problems such as connectivity loss between routers. Network technicians are required to monitor all network devices at all times. This article aims to discuss the results of the network device monitoring system in Building A FPTK UPI using Grafana integrated with Telegram as an effort to monitor and repair problematic network devices. The method used is simulation using network software that is adjusted to actual conditions. Grafana and Prometheus are used in creating a device monitoring system. Prometheus works to retrieve data from the SNMP (Simple Network Management Protocol) and process the data using an exporter. Grafana can create visualizations on the network device monitoring system from the data that has been processed. This study uses a simulation method on PNETLab and VMware software. Based on the results obtained, the Grafana dashboard display can display the traffic interface on the router. The dashboard displayed is when ether 2 connected to the north 2nd floor router experiences interference which causes the north 2nd floor router to not get internet network access so that a warning appears in the form of a notification message R_LT2_UTARA | Down from DSTIbot via Telegram. The repair effort for the problem was carried out by connecting ether 3 from the middle 1st floor router to the north 2nd floor router so that the north 2nd floor router still gets internet network access. The repair displays the message notification R_LT2_UTARA | Up from DSTIbot via Telegram.
PUBLIC TRANSPORTATION SERVICE PERFORMANCE ASSESSMENT APPLICATION FOR BUS RAPID TRANSIT(BRT) TRANS SEMARANG Abdayani, Maharani Putri; Siswanto, Joko; Lestari, Astri
Jurnal Ilmiah Teknologi dan Rekayasa Vol 30, No 1 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/tr.2025.v30i1.13693

Abstract

Analysis of service performance through surveys distributing questionnaires to BRT passengers is a complicated process which results in it being less effective and efficient due to using many devices and human resources. A BRT service performance assessment application using the Importance Performance Analysis (IPA) method is proposed to solve this problem which is built using the waterfall method (analysis, design, coding and testing). The public transport service performance assessment application can produce analysis and cartesian diagrams for assessing the performance and importance of BRT services automatically and in real time. The application was tested using black box testing on 7 test cases for admins and 5 test cases for respondents with valid results or in line with expectations. The application is used to analyze service performance in Corridor 4 BRT Trans Semarang which is filled directly by 100 passengers (respondents) with the results of quadrant I of the Cartesian diagram about drivers who are orderly in traffic and prioritize safety (statement 5), and buses have safety equipment (statement 6) can be prioritized in service. BRT Trans Semarang managers can use the resulting application to improve the effectiveness and efficiency of service performance analysis, identify service aspects that need to be prioritized, and support data-based decision making for public transportation (BRT) management.
PENINGKATAN HASIL PRODUKSI BIOHIDROGEN BERBAHAN BAKU LIMBAH KULIT PISANG RAJA DENGAN KATALIS H2O2 MENGGUNAKAN METODE FERMENTASI GELAP Amanda, Ricca; Suyata, Arfiansyah Yusuf Zuliardi; Saputra, Rifki Maulana; Putra, Juan Arkananta Sakti; Ulma, Zeni
Jurnal Ilmiah Teknologi dan Rekayasa Vol 30, No 1 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/tr.2025.v30i1.12918

Abstract

Konsumsi bahan bakar fosil masyarakat Indonesia terus meningkat. Hal tersebut mengakibatkan jumlah cadangan minyak bumi semakin menipis. Terobosan baru perlu diciptakan untuk menyubstitusi ketergantungan energi dari energi fosil.  Selain itu, emisi gas yang dihasilkan dari proses pembakaran yang dipengaruhi oleh pemakaian bahan bakar fosil berakibat pada perubahan iklim global. Salah satu energi alternatif yang berpotensi untuk dikembangkan yaitu biohidrogen karena bernilai kalor tinggi dan termasuk ke dalam bahan bakar ramah lingkungan karena bebas emisi karbon. Biohidrogen merupakan hasil fermentasi dari bahan yang mengandung karbohidrat tinggi. Kulit pisang raja mengandung karbohidrat dengan jumlah besar sehingga dapat dimanfaatkan sebagai substrat dalam proses fermentasi. Penelitian ini bertujuan untuk menentukan konsentrasi H2O2 sebagai katalis dan kondisi pH medium fermentasi yang terbaik untuk menghasilkan gas biohidrogen. Variabel konsentrasi H2O2 yang digunakan meliputi 0,4 mM; 0,6 mM; dan 0,8 mM, sedangkan variabel kondisi pH yang digunakan meliputi pH 5; pH 6; dan pH 7. Pengamatan dan pengujian yang dilakukan meliputi jumlah volume gas dan persentase padatan volatil. Metode pengolahan data yang digunakan adalah Metode Permukaan Respons. Hasil optimum didapat pada penggunaan katalis H2O2 dengan konsentrasi 0,8 mM dan pada kondisi pH 5 yang menghasilkan jumlah volume gas sebanyak 103,5±3,5 mL dengan persentase padatan volatil sebesar 99,73±0,12%.
Front Matter Jurnal Ilmiah Teknologi dan Rekayasa Vol. 30 No 1, April 2025 Jurnal Ilmiah Teknologi dan Rekayasa, Editorial
Jurnal Ilmiah Teknologi dan Rekayasa Vol 30, No 1 (2025)
Publisher : Universitas Gunadarma

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Abstract

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