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Wastewater Treatment Plant (WWTP) pada kawasan industri konvensional umumnya masih mengandalkan strategi pemeliharaan berbasis interval waktu yang tetap. Pendekatan tersebut berisiko menyebabkan penurunan performa pompa yang tidak teridentifikasi secara dini serta meningkatkan potensi pemborosan energi operasional. Penelitian ini mengembangkan Green Maintenance Framework berbasis machine learning untuk meningkatkan reliabilitas pompa sirkulasi pada sistem Moving Bed Biofilm Reactor (MBBR). Analisis dilakukan menggunakan dataset telemetri multi-sensor yang mencakup parameter getaran, temperatur, tekanan, debit aliran, dan rotasi per menit (RPM). Proses rekayasa fitur diterapkan melalui pembentukan System Efficiency Index untuk meningkatkan sensitivitas model terhadap indikator degradasi kinerja pompa. Model prediktif dibangun menggunakan algoritma Random Forest Classifier dengan skema pembagian data 80:20 secara stratified. Hasil pengujian menunjukkan bahwa model menghasilkan tingkat akurasi klasifikasi sebesar 100%, dengan variabel Vibration dan Temperature menjadi parameter yang paling dominan dalam proses prediksi. Analisis operasional memperlihatkan bahwa degradasi pompa menyebabkan penurunan flow rate meskipun nilai rotasi per menit (RPM) mengalami peningkatan, sehingga memicu kenaikan konsumsi energi dan meningkatkan risiko gangguan pada proses biologis Moving Bed Biofilm Reactor (MBBR). Dari aspek ekonomi, kondisi tersebut menyebabkan pemborosan energi sebesar 5.623 kWh atau setara Rp6.271.236, - per bulan untuk setiap unit pompa. Penelitian ini berkontribusi pada pengembangan sistem predictive maintenance berbasis kecerdasan buatan untuk mendukung efisiensi energi serta implementasi green manufacturing di kawasan industri.

Konflik manusia–gajah merupakan permasalahan serius di kawasan Taman Nasional Way Kambas, Lampung, yang berdampak pada kerugian ekonomi, gangguan sosial, dan ancaman keselamatan manusia serta satwa liar [1], [2]. Salah satu pendekatan mitigasi yang efektif adalah penerapan sistem peringatan dini berbasis teknologi telekomunikasi dan Internet of Things (IoT) [3], [4]. Penelitian ini bertujuan menganalisis kebutuhan dan kinerja jaringan telekomunikasi yang sesuai untuk mendukung sistem peringatan dini konflik manusia–gajah. Metode meliputi analisis kebutuhan sistem, perancangan arsitektur jaringan, perbandingan teknologi komunikasi (GSM/4G, NB-IoT, dan LoRaWAN), serta simulasi skenario pengiriman data dari node sensor. Data empiris diperoleh dari simulasi performa jaringan (jangkauan, delay, konsumsi daya, dan packet delivery ratio). Hasil analisis menunjukkan bahwa LoRaWAN memiliki keunggulan dalam jangkauan dan efisiensi energi untuk wilayah konservasi yang minim infrastruktur [5], [6]. Sistem yang diusulkan mampu mengirimkan data deteksi keberadaan gajah secara near real-time ke pusat pemantauan dan selanjutnya didistribusikan sebagai peringatan kepada petugas dan masyarakat sekitar. Penelitian ini diharapkan menjadi referensi dalam pengembangan sistem peringatan dini konflik manusia–gajah berbasis telekomunikasi di Indonesia.

The commercial sector, especially the hospitality industry, is one of the largest consumers of electrical energy, with energy costs often ranking as the second highest operational expense. This study aims to conduct a specific Electrical Energy Audit in the Office Engineering unit of Aston Denpasar Hotel & Convention Center to optimize electricity usage and improve energy efficiency. The research applies a detailed audit approach with a focus on lighting systems and air conditioning (AC), which are major contributors to energy consumption. The initial stage involves calculating the actual Energy Consumption Intensity (IKE) in kWh/m²/month and comparing the results with ASEAN and SNI standards to determine the efficiency classification of the building. Data collection is carried out through direct field measurements as primary data, using instruments such as a Clamp Meter and Lux Meter. The expected outcome of this study is the identification of detailed Energy Saving Opportunities (ESO), along with the estimation of potential monthly energy cost savings and the calculation of the investment Payback Period.

Nutritional problems during the growth phase of adolescent are mostly caused by consumption patterns. The most commonly used eating patterns during adolescent are foods that are high in calories, fat, sugar and salt. The habits of an unhealthy eating pattern can affect nutritional status. The foods most consumed by adolescent are often junk food and caffeinated beverages. All kinds of food and drinks are easily found around campuses surrounded by student. The purpose of this study was to determine the relationship between junk food consumption and caffeinated beverages to the nutritional status of students of the Faculty of Technology and Food Industry at Slamet Riyadi University, Surakarta. The respondents involved were students aged 18-24 years. Data was collected using a questionnaire and interview to the student. Data were analyzed using Chi-Square test. The results showed that factor affecting the nutritional status of student was mother’s education (p=0,000) and father’s education (p=0.000). Factors that do not affect nutritional status were energy intake (p=0.545), protein (p=0.085), fat (p=0.204) and carbohydrate (p=0.112), the amount of pocket money (p=0.310), the consumption level of junk food (p=0.671) and caffeinated drinks (p=0.535). The results showed that there was no significant relationship between the consumption patterns of junk food and caffeinated drinks on the nutritional status of students of the Faculty of Food Technology and Industry at Slamet Riyadi University, Surakarta. Permasalahan gizi yang terjadi saat pertumbuhan fase remaja lebih banyak disebabkan karena pola konsumsi.  Pola makan yang sering diterapkan pada masa remaja adalah makanan tinggi kalori, lemak, gula, dan garam. Pola makan yang tidak sehat dapat mempengaruhi status gizi seseorang. Makanan yang paling banyak dikonsumsi oleh kalangan remaja masuk dalam kategori junk food dan juga minuman berkafein. Makanan dan minuman kategori ini mudah ditemukan di sekitar kampus yang dikelilingi mahasiswa. Tujuan pada penelitian ini ialah menentukan hubungan pola konsumsi junk food dan minuman berkafein terhadap status gizi mahasiswa Fakultas Teknologi dan Industri Pangan di Universitas Slamet Riyadi, Surakarta. Responden yang terlibat ialah mahasiswa berusia 18-24 tahun. Pengumpulan data menggunakan kuesioner dan wawancara kepada mahasiswa. Analisis data menggunakan uji Chi-Square. Hasil penelitian menunjukkan bahwa faktor yang mempengaruhi status gizi mahasiswa adalah pendidikan ibu (p=0.000) dan pendidikan ayah (p=0.000). faktor yang tidak mempengaruhi status gizi ialah asupan energi (p=0.545), protein (p=0.085), lemak (p=0.204) and karbohidrat (p=0.112), jumlah uang saku (p=0.310), tingkat konsumsi junk food (p=0.671) dan minuman berkafein (p=0.535). Hasil penelitian menunjukkan tidak terdapat hubungan signifikan antara pola konsumsi junk food dan minuman berkafein terhadap status gizi mahasiswa Fakultas Teknologi dan Industri Pangan Universitas Slamet Riyadi, Surakarta.

Panel surya merupakan salah satu solusi energi terbarukan yang banyak dikembangkan di Indonesia. Namun, salah satu kendala utama dalam implementasinya adalah penurunan efisiensi akibat peningkatan suhu permukaan panel saat terpapar sinar matahari secara intensif. Penelitian ini bertujuan untuk mengkaji efektivitas sistem pendingin pasif berbasis alumunium fin dalam mengoptimalkan kinerja panel surya. Metode eksperimen digunakan dengan membandingkan dua unit panel surya: satu unit menggunakan sistem pendingin pasif dengan fin alumunium dan satu unit lainnya tanpa sistem pendingin. Parameter yang diamati meliputi suhu permukaan panel, tegangan output, arus, dan efisiensi daya. Hasil penelitian menunjukkan bahwa penggunaan alumunium fin mampu menurunkan suhu rata-rata permukaan panel sebesar 8–10°C dibanding panel tanpa pendingin. Penurunan suhu ini berdampak positif terhadap peningkatan efisiensi panel surya sebesar 12,5%. Alumunium dipilih sebagai material utama karena konduktivitas termalnya yang tinggi serta ringan dan ekonomis. Dengan penerapan sistem ini, diharapkan pemanfaatan panel surya di wilayah tropis seperti Indonesia dapat menjadi lebih optimal tanpa tambahan konsumsi energi. Penelitian ini merekomendasikan penggunaan sistem pendingin pasif sebagai solusi efektif dan berbiaya rendah dalam pengembangan sistem energi surya skala kecil hingga menengah.

Energy audits are an essential step in supporting the efficiency of electricity utilization, particularly in large-scale commercial buildings such as shopping malls. This study was conducted to measure and analyze electricity consumption at Pollux Malls Paragon Semarang using a direct measurement approach combined with historical monitoring of energy consumption. The main focus of the audit was on the lighting system and the Heating, Ventilation, and Air Conditioning (HVAC) system from the Basement to the 6th Floor. Measurement results showed that the Energy Consumption Intensity (ECI) ranged between 39.94–45.20 kWh/m²/month, far above the national efficiency standard (maximum 18.5 kWh/m²/month), indicating a highly wasteful energy usage condition. The two main systems contributing to the largest share of consumption were HVAC and lighting, with a combined estimated share exceeding 60% of the total monthly energy use. Based on the analysis, several energy-saving opportunities were identified, including the replacement of energy-efficient lighting (LED), installation of automatic control systems (light, temperature, and timer sensors), and regular maintenance of HVAC systems. With the implementation of technical, managerial, and operational efficiency strategies, it is estimated that energy consumption savings could reach 20–30%, or around 60,000 kWh per month, without compromising visitor comfort.

This study aims to analyze the influence of green financing, industrialization level, and fossil energy consumption on carbon emissions in Indonesia for the period 2018–2023. The method used is multiple linear regression with the Ordinary Least Squares (OLS) approach based on time series data. The dependent variable used is carbon emissions, while the independent variables include green financing, industrialization level, and fossil energy consumption. The results of the analysis show that both simultaneously and partially, the three independent variables do not have a significant effect on carbon emissions. The coefficients of green financing and industrialization tend to be positive, while fossil energy consumption is negative, but all are not statistically significant. These findings indicate that green financing policies, industrial development, and fossil energy consumption during the study period have not had a significant impact on carbon emissions in Indonesia. This study recommends the need to extend the observation period, add relevant variables such as the renewable energy mix, and optimize the implementation of green energy and financing policies to support carbon emission reduction in the future.

Urbanisasi yang berkembang pesat telah menjadi isu utama dalam peningkatan konsumsi energi di wilayah perkotaan. Sebagian besar rumah-rumah di zona permukimam pada zaman kini juga dikonstruksi melekat satu sama lain, menyebabkan ventilasi udara alami bekerja tidak optimal dan mengharuskan para penghuni untuk menggunakan alat pengontrol termal untuk mencapai kenyamanan termal mereka. Dengan menggunakan metode eksperimen kuantitatif melalui simulasi digital, penelitian ini bertujuan untuk menyelidiki apabila bentukan rumah panggung seperti Rumah Limas Potong mampu mencapai kenyamanan termal untuk penggunaannya di masa depan. Hasil simulasi menunjukkan bahwa rumah panggung mustahil untuk meraih kenyamanan termal dengan iklim tropis terkini. Perlu dilakukan lagi eksperimen waktu-nyata pada rumah-rumah panggung dengan atau tanpa sistem pendinginan pasif untuk hasil dan akurasi yang lebih baik dalam meraih permukiman yang hemat energi.

This study aims to analyze the electrical energy consumption of a bench-type drilling machine, RYU RDB 13, by varying machining parameters in the form of spindle speed and feed rate. Electrical energy is a critical aspect of production efficiency in the manufacturing industry, particularly in machining processes that require continuous power consumption throughout the cutting operation. The material used in this study is aluminum 6061, chosen for its lightweight, corrosion resistance, and wide application in the automotive and aerospace industries. The drilling process was carried out using three spindle speed variations: 620 rpm, 920 rpm, and 1280 rpm, along with three feed rate variations: 0.04 mm/rev, 0.08 mm/rev, and 0.1 mm/rev. Current and voltage were measured using a digital wattmeter in real-time, and energy consumption was calculated in wattseconds (Ws) using power calculation formulas. The results indicate that increasing the feed rate and spindle speed leads to higher instantaneous power consumption. However, total energy consumption tends to decrease at higher speed and feed combinations due to shorter machining times. The optimal parameter combination was found at a feed rate of 0.1 mm/rev and a spindle speed of 1280 rpm, which resulted in the lowest energy consumption of 387 Ws and the fastest drilling time. This demonstrates that selecting the right machining parameters not only improves energy efficiency but also maintains or enhances productivity. The observed power consumption pattern typically shows a sharp increase at the beginning of the drilling process, a stable phase during the main cutting stage, and a rapid decrease towards the end of the cut. These findings contribute to a better understanding of the relationship between machining parameters and energy efficiency, serving as a basis for developing sustainable production strategies in the manufacturing sector that prioritize energy savings and cost reduction.

The rapid growth of motor vehicles, exceeding 169 million units in Indonesia by 2025, highlights the urgent need for energy-efficient and environmentally friendly transportation solutions, such as hybrid vehicles. Brushless Direct Current (BLDC) motors are crucial components in these systems due to their high efficiency and compact design, particularly when directly integrated into wheels. This study specifically aims to analyze the impact of varying loads on the power consumption of a BLDC motor within a front-wheel-drive hybrid motorcycle prototype equipped with a Continuously Variable Transmission (CVT) system. Experimental data was collected using a wattmeter on a prototype subjected to different passenger loads: 55 kg, 75 kg, and 100 kg, at constant speeds of 20 and 40 km/h. The findings consistently show that an increase in load significantly and positively correlates with higher power consumption of the BLDC motor. For instance, at 40 km/h, power consumption for a 100 kg load reached 729.578 Watt, whereas for a 55 kg load it was 649.605 Watt. This demonstrates that greater effort (power) is required from the motor to overcome the inertia and increased resistance associated with heavier loads. These results contribute to optimizing energy efficiency in hybrid vehicle design and underscore the importance of load management for sustainable transportation.

Energy audit is a technique used to obtain the efficiency of a building with a certain method. Continuous research implementation is expected to be able to identify electrical efficiency and the purpose of data analysis is to obtain electrical energy efficiency to calculate the Energy Consumption Intensity (IKE) value in the building. Energy audits can also be carried out at any time or according to a predetermined schedule. Regular monitoring of energy usage is a must to find out the amount of energy used in each part of the operation during a certain period of time. Thus, savings efforts can be made.

This research aims to design and develop a motion detection-based automatic light control system with a light intensity setting feature using IoT technology. The system utilizes a combination of PIR sensor, MOSFET module, and Arduino Uno microcontroller to control lighting based on the presence and position of the user. With an adaptive control algorithm, the lamp can dynamically adjust the lighting intensity to several levels as needed. Test results show that the system successfully reduces energy consumption optimally without reducing user comfort. The implementation of this technology has great potential in supporting energy efficiency in public areas, such as parks, office hallways, and sidewalks.

This study aims to see the effect between energy subsidies and electricity consumption on economic growth in Indonesia. This study uses secondary time series data for the period 2014-2023 with a quantitative approach using the Eviews 12 software analysis tool. The variables in this study are energy subsidies, electricity consumption and economic growth which are analyzed by multiple linear regression methods. The results showed that energy subsidies have a positive and insignificant effect on economic growth, electricity consumption has a positive and significant effect on economic growth in Indonesia. While energy subsidies and electricity consumption simultaneously have no significant effect on economic growth in Indonesia in the 2014-2023 period.

Pengelolaan energi listrik yang tepat merupakan faktor penting dalam mengelola konsumsi energi listrik secara lebih efisien, konsep yang sangat penting di fasilitas-fasilitas seperti Gedung Teknik Elektro Universitas Merdeka Malang. Penelitian ini menggabungkan penggunaan energi listrik yang dipantau dengan bantuan sistem SCADA (Supervisory Control and Data Acquisition) melalui komunikasi Modbus-LoRa WAN. SCADA adalah sistem integratif dan waktu nyata untuk pemantauan dan pengendalian, Modbus cocok untuk kolaborasi yang andal, sementara LoRaWAN unggul dalam menyediakan sistem nirkabel jarak jauh. Sistem ini terdiri dari sensor energi listrik, unit kontrol, dan peralatan komunikasi yang semuanya digunakan untuk memantau, memproses, dan menyampaikan informasi terkait penggunaan listrik. Makalah ini juga mengungkapkan hasil implementasi di Gedung Teknik Elektro UNMER, di mana sistem yang diidentifikasi dapat menyediakan informasi waktu nyata tentang konsumsi energi listrik. Implementasi ini sebaiknya digunakan sebagai referensi untuk mencapai cara yang lebih cerdas dan berkelanjutan dalam mengelola energi di gedung-gedung lainnya.

This research aims to determine the effect of the government expenditure model and green growth based on green energy consumption in Indonesia which has 4 variables, namely carbon emissions, energy consumption, economic growth and government expenditure. The analytical method used in this research is the Vector Auto Regression (VAR) model with the Impulse Response Function (IRF) test, Forecast Error Varince Decomposition (FEVD), stationarity test, cointegration test, structural lag stability test, and optimal lag length test. . The results of the Vector Autoregression research using lag 1 as the basis show the contribution of each variable to the variable itself and other variables. The results of the Vector Autoregression analysis also show that the past variable (t-1) contributes to the current variable, both the variable itself and other variables. From the results of the analysis, there is a reciprocal relationship between one variable and another variable. Response Function Analysis shows the response of other variables to changes in a variable in the short, medium and long term, and it is known that the stability of the response of all variables is formed within a period of 5 years or the medium term. and long term. Variance Decomposition Analysis shows that there are variables that have the largest contribution to the variable itself in the short, medium and long term, such as CO2, EC, and GOV. Meanwhile, another variable that has the greatest influence on the variable itself in the short, medium and long term is CO2 which is strongly influenced by GOV and GDP.

Chronic energy deficiency (CED) in pregnant women can also be interpreted as a situation when pregnant women have insufficient energy intake for a long period of time, causing the pregnant woman to gain less weight and can disrupt the health of the mother and fetus she is carrying. CED in pregnant women can trigger various health problems, such as anemia, respiratory tract infections, metabolic disorders, and increase the risk of complications during childbirth. The aim of this research was to determine the consumption pattern of Ferros (Fe) tablets among pregnant women who experience chronic energy deficiency (KEK) at the Kurra Health Center, Tana Toraja Regency. This research method is quantitative with a cross-sectional research design. The population in this study were 31 pregnant women who experienced Chronic Energy Deficiency (CED) at the Kurra Health Center, Tana Toraja Regency and the sample in this study were 31 pregnant women who experienced Chronic Energy Deficiency (KEK) at the Kurra Health Center, Tana Toraja Regency. pregnant mother. The sampling technique used in this research is total sampling where the researcher will take the entire population. This research was processed using a computerized system with the help of the SPSS program. The data analysis method used is statistical test analysis with a statistical test (chi-square) to determine the consumption pattern of Ferros (Fe) tablets in pregnant women who experience chronic energy deficiency (KEK), where if a p value of 0.000 < 0.05 is obtained, it can be interpreted as significant. Therefore, it is recognized that the pattern of consumption of Ferros (Fe) tablets in pregnant women who experience chronic energy deficiency (KEK)

Listrik dewasa ini telah menjadi bagian tak terpisahkan dalam kehidupan manusia. Pemanfaatan daya listrik semakin mengalami pertumbuhan sesuai kemajuan teknologi, yang terlihat dari kegiatan industri, perkantoran, bahkan pada pemanfaatan energi konsumen rumah tangga. Peningkatan pertumbuhan ekonomi dan laju pembangunan yang semakin pesat di Kabupaten Fakfak yang membutuhkan daya listrik yang besar, berkelanjutan, dan harus selalu dijaga agar dapat memenuhi kebutuhan konsumsi energi listrik pelanggan. Untuk mencapai hal tersebut maka diperlukan suatu sistem tenaga listrik yang handal. Namun, seiring dengan pertambahan kebutuhan pelanggan, mengakibatkan pelaksaaan pendistribusian sistem tenaga listrik tidak lepas dari berbagai macam gangguan yang menyebabkan menurunnya ketidakseimbangan beban listrik. Metode yang digunakan dalam penelitian ini yaitu pengukuran data beban puncak yang digunakan untuk menentukan ketidak seimbangan arus netral hingga perhitungan rugi-rugi daya. Berdasarkan hasil pengukuran yang telah dilakukan diperoleh bahwa ketidakseimbangan beban pada trafo distribusi yang mengakibatkan terjadinya rugi-rugi daya serta timbulnya arus netral pada waktu beban puncak dimana yang terbesar terjadi pada penghantar di jalur 1 pada di siang hari adalah sebesar 12,5% dan pada malam hari adalah sebesar 29,84%. Sedangkan di jalur 2 pada di siang hari adalah sebesar 33,48% dan pada malam hari adalah sebesar 43,30%.

Along with the current developments, electricity has become a basic need that must be required. With population growth, economic development, and an increase in various activities and the use of facilities that require electricity, the use of electrical energy will continue to increase even in the use of lights as lighting in offices. The expected purpose of this study is to examine the efficiency of energy use as office lighting for one of the fertilizer industries before and after using LED lights, as well as analyze the costs incurred and the economic value obtained from the use of LED lamps. In this study, several data are needed, such as building plan data, inventory of the types of lamps used, electrical energy consumption, and the price of electricity consumption per kWh through the calculation method. The difference in costs incurred for the use of non-LED lamps into LED lamps is IDR 580,931.14 in the 1st-floor office building in one of the fertilizer industries and IDR 319,747.56 in the 2nd-floor office building in one of the fertilizer industries. Based on this, the difference in costs incurred is very large, so the use of LED lamps is the main alternative in saving energy and costs. Therefore, it is important to conduct studies and research on the impact that can be caused by the use of LED lights on energy consumption and electricity cost efficiency in the company.    

Pertanian merupakan kegiatan manusia dengan tujuan menggunakan sumber daya hayati untuk menghasilkan makanan, bahan baku industri atau sumber energi dan untuk mengelola lingkungan. Penelitian ini mengetahui apakah biaya produksi dan pendapatan berpengaruh secara signifikan terhadap perilaku konsumsi petani kelapa di Desa Sungai Tawar Kabupaten Tanjung Jabung Timur. Penelitian ini menggunakan metode dan jenis penelitian kuantitatif karena penelitian kuantitatif adalah penelitian ilmiah yang sistematis terhadap bagian-bagian dan fenomena serta hubungan-hubungannya. Penelitian ini akan dilakukan di Desa Sungai Tawar Kecamatan Mendahara Kabupaten Tanjung Jabung Timur. Metode pengumpulan data yakni data primer yang datanya diperoleh langsung dari responden melalui wawancara dan penyebarab kuisioner. Hasil penelitian yang menunjukkan biaya produksi dan pendapatan baik secara parsial maupun simultan berpengaruh terhadap perilaku konsumsi petani kelapa di Desa Sungai Tawar Kabupaten Tanjung Jabung Timur.

Motor bakar adalah motor yang memanfaatkan prinsip penyesuaian panas untuk diubah menjadi energi mekanik. Penelitian ini bertujuan untuk mengetahui penggunaan bahan bakar motor bakar bensin yang dipasang pada Honda Supra 100cc. statistiknya adalah minus dengan sepeda motor pada rasio gigi dan kecepatan yang berbeda dengan jarak tempuh 3 kilometer. Pengujian dilakukan dengan rasio roda gigi 2, 3 dan 4 dengan kecepatan 20, 25, 30, 35 dan 40 kilometer/jam. Pengamatan dan perhitungan pada tiang pancang membuktikan bahwa penggunaan bahan bakar dengan rasio roda gigi 2 secara berurutan adalah 359.2, 410.9, 439.0, 545.9, dan 648.9 G/Jam. Dengan rasio kecepatan 3, masing-masing 296,9, 295,8, 408,6, 494,4, dan 624,5 G/jam. Dengan rasio rodá gìgì 4 masing-masing 201.9, 249.4, 419.0, 330.8 dan 538.0 G/Jam. Konsul mulai mengamati bahwa semakin besar akselerasi motor, maka semakin besar pula tingkat konsumsi bahan bakarnya. Berawal dari pengamatan tersebut, diketahui bahwa percobaan dilakukan dengan putaran mesin 2136 mencapai 6128 RPM. Reaksi tersebut membuktikan bahwa sebenarnya dengan akselerasi 20 kilometer/jam mencapai 40 kilometer/jam lebih efektif bekerja pada gèar rasio 4.