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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) TELKOMNIKA (Telecommunication Computing Electronics and Control) JURNAL ELEKTRO ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika CogITo Smart Journal Jurnal Sisfokom (Sistem Informasi dan Komputer) MITRA: Jurnal Pemberdayaan Masyarakat EPIC : Journal of Electrical Power, Instrumentation and Control Jurnal Mantik Jurnal Teknologi dan Manajemen Industri Terapan Jurnal Pengabdian Masyarakat Charitas Metris: Jurnal Sains dan Teknologi Cylinder : Jurnal Ilmiah Teknik Mesin
Bachri, Karel Octavianus
Universitas Katolik Indonesia Atma Jaya
Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences

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Pengaruh Penggunaan Octane Booster Terhadap Konsumsi Bahan Bakar Kendaraan Roda Empat Bachri, Karel Octavianus; Satryanatha, Josaphat Febrian; Fortino, Antonius Edwin; Soewono, Arka Dwinanda
Cylinder : Jurnal Ilmiah Teknik Mesin Vol 9 No 1 (2023): APRIL 2023
Publisher : Department of Mechanical Engineering Atma Jaya Catholic University of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/cylinder.v9i1.5024

Abstract

Due to increasing fuel prices, most people in Indonesia choose to use fuel with an octane rating of 90. However, using fuel with a lower Research Octane Rating or RON can affect the performance and efficiency of vehicle engines, especially if the compatibility between fuel octane and the engine's compression ratio is neglected. One solution to this problem is adding an octane booster to RON-90 gasoline to resemble gasoline with an octane rating of 92. The purpose of this research is to conduct an experimental study to see the effect of using a commercially available octane booster on the fuel consumption of a multi-purpose vehicle with an engine capacity of 1500 cc. Fuel consumption testing was performed using a road test based on the full-to-full method. The measurement results show that using an octane booster in RON -90 gasoline can reduce vehicle fuel consumption by 6.82%. However, the decrease in fuel consumption is still less compared to vehicles using RON-92 gasoline. Economic analysis found that using an octane booster in a motorcar could be a cost-efficient alternative to a more expensive RON-92 petrol.
Analisis Gangguan Pada Sistem Gardu Listrik Berbasis Gas Insulated Switchgear 150 kV Dengan Metode High Voltage Test Bachri, Karel Octavianus; Jonathan, Edoardo; Soewono, Arka Dwinanda
Cylinder : Jurnal Ilmiah Teknik Mesin Vol 9 No 1 (2023): APRIL 2023
Publisher : Department of Mechanical Engineering Atma Jaya Catholic University of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/cylinder.v9i1.5029

Abstract

The insulator system in substations is essential in maintaining safety and efficiency in electricity transmission and distribution lines. The purpose of this research is to conduct High Voltage tests to check possible malfunctions in a gas-insulated switchgear (GIS) in a 150 kV substation following IEC standard 62271-203. Insulation Resistance (IR) measurement results for components in the GIS system show that the system still has high insulation resistance for the R, S, and T phases. High voltage testing results for the three-phase Gas Insulated Switchgear also did not exhibit current leakage, meaning the system still operates satisfactorily.
Rancang Bangun Sistem Pembersih Panel Surya Berbasis Arduino Uno dan Analisis Efektivitas Metode Pembersihan Kering dan Basah Terhadap Efisiensi Energi Erik Agustian Yulanda; Karel Octavianus Bachri; Muhamad Jaelani Sidik; Agi Tama; Joko Tri Susilo
EPIC Journal of Electrical Power Instrumentation and Control Vol 8 No 1 (2025): EPIC
Publisher : Universitas Pamulang, Prodi teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/epic.v8i1.58282

Abstract

Penurunan efisiensi panel surya akibat akumulasi debu dan kotoran merupakan permasalahan umum pada sistem Pembangkit Listrik Tenaga Surya (PLTS), terutama di lingkungan yang berdebu dan lembap. Oleh karena itu, diperlukan penelitian untuk menyediakan sistem pembersihan alternatif yang efektif sekaligus hemat energi. Penelitian ini bertujuan untuk mengembangkan sistem pembersih panel surya berbasis Arduino Uno yang beroperasi menggunakan dua metode, yaitu pembersihan kering dan pembersihan dengan air. Sistem ini terdiri atas motor stepper Nema 23 untuk pergerakan linier, motor DC 12 V untuk rotasi sikat, pompa air DC 12 V, serta dua limit switch yang berfungsi untuk membalik arah putaran motor stepper. Pengujian dilakukan dengan membandingkan nilai tegangan, arus, dan daya keluaran panel sebelum dan sesudah pembersihan, serta mengukur konsumsi energi sistem pembersih untuk setiap metode. Hasil penelitian menunjukkan bahwa metode pembersihan kering mampu meningkatkan daya panel dari 1,10 W menjadi 1,33 W (peningkatan sebesar 20,91%) dengan konsumsi energi sebesar 0,097 Wh per siklus. Sementara itu, metode pembersihan dengan air meningkatkan daya dari 0,80 W menjadi 1,32 W (peningkatan sebesar 65,00%) dengan konsumsi energi sebesar 0,187 Wh per siklus. Kedua metode menghasilkan perolehan energi bersih positif masing-masing sebesar 0,133 Wh dan 0,333 Wh. Hasil analisis menunjukkan bahwa sistem yang dikembangkan memiliki efisiensi energi yang baik dan berpotensi untuk diimplementasikan sebagai solusi efektif dalam pemeliharaan panel surya.
Optimasi Histeresis Smart Relay Zelio pada Sistem Pompa Booster untuk Peningkatan Efisiensi Energi dan Kualitas Kinerja Cycling Agi Tama; Karel Octavianus Bachri; Joko Tri Susilo; Erik Agustian Yulanda; Bambang Iwan Suryana
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 4 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i4.1362

Abstract

Stabilitas tekanan distribusi air bersih merupakan tantangan krusial dalam pengelolaan infrastruktur gedung bertingkat, di mana tekanan seringkali jatuh di bawah ambang batas operasional 2 bar. Penelitian ini bertujuan merancang sistem kendali pompa booster yang optimal untuk mengatasi inefisiensi energi dan ketidakstabilan tersebut. Metode yang diterapkan adalah perancangan panel kontrol dengan sistem jogging tiga pompa yang dikendalikan oleh Smart Relay Zelio dan sensor Pressure Switch Digital. Kebaruan penelitian ini terletak pada penerapan optimasi histeresis sebesar 1 bar pada sistem Zelio tiga pompa yang belum pernah diuji sebelumnya, guna meminimalkan frekuensi cycling dan mencegah fenomena chattering. Berdasarkan pengujian komparatif selama 9 jam, sistem yang diusulkan berhasil menurunkan konsumsi energi total dari 48,97 kWh (sistem konvensional) menjadi 32,88 kWh. Hal ini setara dengan penghematan energi sebesar 32,86%. Selain efisiensi, sistem ini terbukti menyeimbangkan beban kerja antar pompa secara otomatis melalui algoritma jogging. Kontribusi penelitian ini adalah penyediaan strategi kendali otomatis berbasis Smart Relay yang terbukti handal, stabil, dan hemat energi untuk manajemen utilitas bangunan modern.
Generative Representation of Aggregate Brain Activity: A Deep Autoencoder Approach for EEG Topoplot Summarization Tobias Mikha Sulistiyo; Karel Octavianus Bachri
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 2 (2026): MAY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i02.2607

Abstract

This research aims to assess a Deep Convolutional Autoencoder (CAE) framework for representative EEG topoplot summarization using latent space aggregation. In order to produce representative EEG topoplot summaries while maintaining important spatial features, we suggest a Deep Convolutional Autoencoder (CAE) with latent space aggregation. Prior to group-level aggregation and image reconstruction, EEG topoplots are simplified into latent representations that resemble baseline artifacts. An adolescent EEG dataset obtained during a Go/No-Go Association Task involving addiction stimuli was used to test our methodology. The frontal-temporal predominance of normal respondents and the prominent temporal-occipital activation of at-risk respondents, primarily in those with slower responses, are caused by distinct activation patterns that are associatively aroused by attentional and memory bias. These results support the use of secure EEG topoplot summarization in addiction research using CAE-based latent space aggregation.
Tomato leaf disease recognition system using Faster R-CNN Karel Octavianus Bachri; Bryan Santoso; Duma Kristina Yanti Hutapea; Catherine Olivia Sereati; Lanny W. Pandjaitan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 6: December 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v22i6.25519

Abstract

The objective of this paper is to detect tomato leaf disease using Faster region-based convolutional neural network (R-CNN). The tomato leaf disease recognition system utilizes a dataset consisting of healthy tomato leaves and eight leaf diseases, including early blight, late blight, leaf mold, mosaic virus, septoria, spider mites, yellow leaf curl virus, and leaf miner. The dataset is obtained from various sources, such as Kaggle, Google Images, Bing Images, and Roboflow Universe. Pre-processing techniques, including collage, tile, static crop, and resize, are applied to prepare the dataset for training. Data augmentation methods, such as flipping, 90° rotation, exposure adjustment, and hue modification, are applied to enhance the model’s robustness and generalize its performance. Specifically, we implemented Faster R-CNN as part of Detectron2 using its base models and configurations. The results demonstrate that the X101-FPN base model for Faster R-CNN with the default configurations of Detectron2 is efficient and general enough to be applied to defect detection. This approach results in an average precision (AP) detection score of 87.01% for validation results.
Experimental Comparison of DALI and 0–10V LED Dimming Systems for Smart Lighting MUHAMMAD RISQI NURYANA; MARSUL SIREGAR; KAREL OCTAVIANUS BACHRI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 14, No 1: Published January 2026
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v14i1.42

Abstract

This study compares the dimming performance of DALI and 0–10 V using three commercial LED drivers at eight dimming levels. The testing included power consumption, illuminance, and flicker stability. The results showed that DALI was able to maintain a linear dimming curve down to low levels such as 10%, 5%, and 1%, with consistent flicker within the No Risk zone. Power consumption at 0% was also low, making it suitable for applications requiring deep dimming and stable visual comfort. Conversely, the 0–10 V system performed quite well at high levels and was slightly more efficient at low power, but its performance dropped drastically below 30%. At 10%, the illuminance was almost zero and the flicker level entered the High Risk zone. Overall, DALI is more ideal for smart lighting with smooth transitions, while 0–10 V is more suitable for basic installations.
Co-Authors Adang Suwandi Ahmad Agi Tama Agi Tama Alexander, Justin Alvinson, Gregorius Anthon de Fretes, Anthon de Fretes Anthony , Jean Arwin Datumaya Wahyudi Sumari Bachtiar, Marsellinus Bambang Anggoro Soedjarno Bambang Iwan Suryana Bryan Santoso Bunardi, Marcelinus Eric Catherine Olivia Sereati Catherine Olivia Sereati Christine Natalia Duma Kristina Yanti Duma Kristina Yanti Hutapea Enny Widawati Erik Agustian Yulanda Fernanto, Nico Fortino, Antonius Edwin Hadikusuma, Ridwan Satrio Herianto, David Joko Tri Susilo Jonathan, Edoardo Karangga, Yusaphat Phosa Kartadinata, Budi Kelvin, Dimas Kevin Kevin kevin Khayam, Umar Kusmanto, Willy Lanny W. Pandjaitan Lestari, Hesti Tri Lukas Maria Angela Kartawidjaja Marsellinus Bachtiar Wahju Marten Darmawan Melisa Mulyadi Micha Thesania Katarine Michael Deni Perdana Putera Muhamad Jaelani Sidik Muhammad Risqi Nuryana Nabil, Alfi Nova Eka Budiyanta Nur, Tajuddin Osmond, Edbert Pandjaitan, Lanny W. PANJAITAN, LANNY Pardosi, Cristoni Hasiholan Paschalis, Sebastian Michael Paskalis, Yohanes Maria Jonathan Glenn PRAWIRA, WASKITO Putera, Michael Deni Perdana PUTRA, SADIANA Rizki Surya Permana Rory Anthony Hutagalung Sachi, Haenuki Sandra Octaviani Sandra Octaviani Satryanatha, Josaphat Febrian Setiawan, Axel Gilbert Siregar, Marsul Soewono, Arka Soewono, Arka D. Soewono, Arka Dwinanda Sutomo, Febryan Tajuddin Nur Theresia Ghozali Tobias Mikha Sulistiyo Trifenaus Prabu Hidayat Veronica Windha Mahyastuty Wahju, Marsellinus Bachtiar Widodo Basuki Wijaya, Nickolas Dario Wijaya, Toby Wijayanti, Linda Wilson