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All Journal Jurnal Pendidikan Teknik Mesin Rekayasa Mesin eUREKA : Jurnal Penelitian Mahasiswa Teknik Sipil dan Teknik Kimia Sistemasi: Jurnal Sistem Informasi Jurnal Belantara International Journal of Supply Chain Management JURNAL CRANKSHAFT Science Midwifery Sprocket : Journal of Mechanical Engineering MAKILA: Jurnal Penelitian Kehutanan CELEBES Agricultural Jurnal Sehat Indonesia (JUSINDO) National Multidisciplinary Sciences Journal of Management and Innovation Entrepreneurship (JMIE) Majalah Teknik Mesin
Andi Nugroho, Andi
Prodi Pendidikan Teknik Mesin, Universitas Negeri Semarang
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Analisa Pengaruh Arah Panel Surya Terhadap Daya Nugroho, Andi; Nababan, Wilson Sabastian; Setyawan, Eko Yohanes; Peranginangin, Siwan Ediamanta; Sihombing, Suriady
SPROCKET JOURNAL OF MECHANICAL ENGINEERING Vol 6 No 1 (2024): Edisi Agustus 2024
Publisher : Program Studi Teknik Mesin, Universitas HKBP Nommensen, Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36655/sprocket.v6i1.1624

Abstract

Pada penelitian ini penulis menganalisis pengaruh arah panel surya terhadap arus, tegangan, dan intensitas cahaya matahari di Kalimantan Timur dengan sudut kemiringan 25°. Penelitian ini melibatkan tiga variabel arah panel surya: timur, utara, dan barat. Data yang diperoleh melalui pengukuran langsung intensitas cahaya matahari, arus, dan tegangan yang dihasilkan oleh panel surya pada berbagai waktu dalam sehari. Hasil penelitian ini menunjukkan bahwa orientasi panel surya memiliki pengaruh signifikan terhadap efisiensi konversi energi surya. Pada arah timur dan barat menghasilkan arus dan tegangan yang lebih tinggi pada pagi dan siang hari, sedangkan dengan arah utara menghasilkan performa yang lebih stabil sepanjang hari. Temuan ini dapat menjadi referensi penting bagi pengoptimalan pemasangan panel surya di wilayah tropis seperti Kalimantan Timur.
Comparison of k-Nearest Neighbor and Support Vector Machine using Binary Dragonfly Algorithm Optimization Nugroho, Andi; Khomeini, Muhammad Imam; Heraldi, Rifan
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i1.2953

Abstract

BDA is an adaptation of Dragonfly Algorithm (DA) that optimizes computation for single-objective, discrete, and multi-objective problems. Combining BDA optimization algorithm with KNN and SVM classification algorithms aims to improve the performance of the prediction model. This research compares and tests accuracy of KNN and SVM algorithms on the diabetes dataset used in research to find out the best algorithm in predicting diabetes. This research uses the BDA optimization algorithm to select the best features in the dataset, then the KNN and SVM classification algorithms, in classifying data, predicting, and comparing the accuracy of the accuracy of the two algorithms on the diabetes dataset. Medical record data from people with diabetes is processed using the KNN and SVM algorithms, which will then produce an accuracy level that can be used in predicting diabetes. Previous research has conducted a comparison between classification algorithms in predicting diabetes. In the previous research above, no one has combined BDA with classification algorithms, because BDA itself is a relatively new method and has not been widely studied, so researchers use this optimization algorithm. The results of the research conducted obtained the highest accuracy results in the BDA + KNN algorithm with a Precision value of 96.10%, Recall 79.36%, F-1 Score 86.93% and Accuracy 85.55%.
Dinamika Perubahan Tutupan Lahan dan Emisi Karbon dari Deforestasi dan Degradasi Hutan di Kabupaten Kutai Timur Tahun 2019 - 2024 Fauzan, Muhammad Rafii Nur; Suhardiman, Ali; Naufalianto, Ikhsan Fiqra; Syarifudin, Achmad; Nugroho, Andi; Saud, Oshlifin Ruchmana
MAKILA Vol 19 No 2 (2025): Makila : Jurnal Penelitian Kehutanan
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/makila.v19i2.22634

Abstract

This study aims to analyze land cover changes and estimate carbon emissions resulting from deforestation and forest degradation in Kutai Timur Regency during the period of 2019–2024. The analysis was conducted using land cover vector data from the Ministry of Environment and Forestry, which was analyzed with the pairwise comparison method and Geographic Information System (GIS). Carbon emissions were calculated based on Tier 2 IPCC with emission factors for each land cover class.The results of the study show that deforestation is the main contributor to carbon emissions, with the highest increase in emissions during 2023–2024, reaching 9,702,628 tons CO₂e. The decrease in emissions during 2020–2022 aligns with the implementation of the moratorium policy, but an increasing trend in emissions was observed again in 2022–2024, indicating that pressure on forest land remains high. Natural regeneration of secondary forests occurred, but its contribution was not sufficient to offset the loss from deforestation. Spatial patterns show that the largest forest conversion took place in agricultural areas, mining, open land, and scrublands. These findings emphasize the importance of consistent jurisdiction-based forest management policies to achieve the FOLU Net Sink 2030 target and support climate change mitigation.
Inventarisasi Hama dan Penyakit pada Bibit Lima Jenis Tanaman Buah Tropis di Persemaian Mentawir Saud, Oshlifin Rucmana; Syarifudin, Achmad; Nugroho, Andi; Saud, Oshferlia Rucmana; Utami, Widia Sri
MAKILA Vol 19 No 2 (2025): Makila : Jurnal Penelitian Kehutanan
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/makila.v19i2.22687

Abstract

The nursery phase represents a critical early space in plant cultivation, which is highly susceptible to pest and disease incidence. Mentawir Nursery, as one of the largest seedling centers in East Kalimantan, plays a strategic role in supporting reforestation programs, including for Indonesia’s new capital city (IKN). This study aims to identify and document the types of pests and diseases affecting five tropical fruit crops, as well as to analyze the incidence and severity. The five plant species observed in this study are Citrus sinensis, A. integer, Psidium guajava, Mangifera indica, and Dimocarpus longan. The research method employed is Simple Random Sampling, with observations conducted on 20 individuals from each plant species. The collected data include attack levels, symptoms, and signs of pest and disease infestations.The results indicate that four plant species experienced a 100% attack frequency, while one species had an 80% attack rate. The severity of the attacks ranged from moderate to severe. The observed disease symptoms included leaf spots, leaf blight, loss of leaf tissue, internal leaf tissue loss, leaf tumors, and leaf curling. Identified infestation signs included the presence of whiteflies (Hemiptera), larvae (Diptera), small beetles (Coleoptera), as well as larvae and pupae (Lepidoptera).These findings serve as a basis for pest and disease management at Mentawir Nursery to enhance seedling success and plant productivity.
STUDY ON THE INFLUENCE OF THE ANGULAR DIRECTION OF ALUMINUM COOLING FINS ON THE WORKING TEMPERATURE OF SOLAR PANELS Binyamin, Binyamin; Riswan, Muhammad; Nugroho, Andi; Julianto, Eko
Media Mesin: Majalah Teknik Mesin Vol. 27 No. 1 (2026)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/mesin.v27i1.8587

Abstract

The utilization of solar energy through solar panels as a source of electrical energy for households and street lighting is increasing rapidly. However, solar panels face problems related to working temperature. When the absorption of solar radiation is too high, it results in a decrease in efficiency. High temperatures cause solar panels to produce lower energy than in cold conditions. Therefore, the purpose of this study was to explore the effect of aluminum cooling fins on solar panels, with variations of fin inclination angles of 30° and 45°, and compared with panels without a cooling system to reduce the working temperature of solar panels by using cooling fins and air blowing media. The results showed that at an angle of 30°, the panel temperature was 43.60°C at the 13th iteration, with a temperature drop of about 3.13%. At an angle of 45°, the temperature obtained was 41.80°C with a temperature drop of about 6.68%. Meanwhile, the uncooled condition reached a maximum temperature of 44.40°C. No cooling causes the panel temperature to be higher, and the 45° angle provides a better cooling effect than the 30° angle, although the difference is not very significant when compared to the uncooled condition.
Co-Authors Achmad Syarifudin, Achmad Akbar Ramadhan, Muhaimin Andy Kristafi Arifianto Anis Siti Nurrohkayati Binyamin Binyamin, Binyamin Christian Dini, Gabriella Dermawan, Bintang Diana , Rita Dwi Antono, Aji Eko Julianto Elfan Prayoga, Muhamad Faatih, Muhammad Al Girardi, Alan Evin Hastaniah, Hastaniah Heraldi, Rifan Hery Tri Waloyo Karya Saputra, Didy Khanif Setiyawan Khomeini, Muhammad Imam Mega Nur Sasongko Muhammad Khumaedi Mujianto, Agus Nababan, Wilson Sabastian Naufalianto, Ikhsan Fiqra Paulus Matius Po Abas Sunarya Rafii Nur Fauzan, Muhammad Rafii Ramadhani, Reza Riswan, Muhammad Riyan Fadillah, Rizky Rucmana Saud, Oshlifin Saud, Oshferlia Rucmana Saud, Oshlifin Ruchmana Saud, Oshlifin Rucmana Sepsamli, Letus Setiawan, Khanif Setyawan, Eko Yohanes Sigiet Haryo Pranoto Sihombing, Suriady siwan edi amanta Perangin angin Soleh, Mualim Suhardiman, Ali Suhudi . Sukotjo, Ivanda Andinar Try Waloyo, Heri Widia Sri Utami Widya Wijayanti Wita Oktaviana Yoland Stanis Witak, Yosef Yudha, Bayu Porsea Yudi Prasetyo Yuliadi, Boy