Abstract:Abstract : The Central Bureau of Statistics (BPS) is a non-departmental government agency established as a provider of data or information based on Law No. 6/1960 on Census and Law No. 7/1997 on Statistics. The Central Statistics…
tatistics Agency (BPS) recorded the number of motorized vehicles such as cars, buses, trucks, and motorcycles in the provinces of North Sumatra and West Sumatra in 2020-2021 reaching 3,043,892 million units. The purpose of this study is to classify the number of motorized vehicles in the form of cars, motorcycles, buses and trucks. This research uses quantitative research with Naive Bayes Algorithm analysis model. The data used in this study is data from several regions in North Sumatra Province and West Sumatra Province in 2020-2021. Evaluation of model performance is based on accuracy parameters, precision and total recall of the confusion-matrix. The results of testing the dataset and calculating the model performance parameters have obtained an accuracy value of 100%. With the percentage value of the description of each dataset class, namely a little 70.6%, moderate 21.6%, and a lot 7.8%.
Keywords :classification;confusion-matrix; data; motor vehicles; naive bayes
Abstrak : Badan Pusat Statistik (BPS) adalah lembaga pemerintahan non-departemen yang dibentuk sebagai penyedia data atau informasi berdasarkan UU Nomor 6 Tahun 1960 tentang Sensus dan UU Nomor 7 Tahun 1997 tentang Statistik. Badan Pusat Statistik (BPS) mencatat jumlah kendaraan bermotor seperti mobil, bus, truk, dan sepeda motor di Provinsi Sumatera Utara dan Sumatera Barat pada tahun 2020-2021 mencapai 3.043.892 juta unit. Tujuan dari penelitian ini yaitu untuk mengklasifikasikan jumlah kendaraan bermotor berupa mobil, sepeda motor, bus dan, truk. Adapun penelitian ini menggunakan jenis penelitian kuantitatif dengan model analisis Algoritma Naive Bayes. Data yang digunakan pada penelitian ini adalah data dari beberapa daerah di Provinsi Sumatera Utara dan Provinsi Sumatera Barat tahun 2020-2021. Evaluasi kinerja model didasarkan pada parameter akurasi, presisi dan recall total dari Confusion-Matrix. Hasil pengujian dataset dan perhitungan parameter performa model telah didapat nilai akurasi 100%. Dengan presentase nilai keterangan setiap kelas dataset yaitu Sedikit 70,6%, Sedang 21,6%, dan Banyak 7,8%.
Kata kunci :confusion-matrix; data; kendaraan bermotorklasifikasi; naive bayes
Abstract:Abstract: Based on available data, it is known that motorcycle sales at Panca Prima Abadi Dealers fluctuate every year. This resulted in several types of motorcycles that did not reach the sales target and affected operating…
ting income. The Panca Prima Abadi dealer realized that customers would return to buy motorcycles if they received good service. There are some customers who feel that the quality of service is relatively low so that in solving problems that cannot be solved optimally. The problem of vehicle service quality is supported by evidence of the changing number of customers who have performed service for the last 3 (three) years. To overcome this problem, a decision support system is made that will make it easier for Panca Prima Abadi Dealers to find out how the quality of motorcycle service has been provided to customers so far. Based on the calculation of the analysis of the level of service vehicle service and sales of motorcycle products using the Service Quality method, it can be concluded that the vehicle service has a "satisfied" predicate with a percentage value of 79.17% and a "very satisfied" predicate has a percentage value of 20.83% and product sales have a percentage value of 20.83%. the "satisfied" predicate gets a percentage value of 81.25% and the "very satisfied" predicate gets a percentage value of 18.75%. Keywords: Vehicle Service, Product Sales Service, Service Quality
Abstrak: Berdasarkan data yang ada diketahui bahwa penjualan sepeda motor di Dealer Panca Prima Abadi mengalami fluktuasi setiap Tahunnya. Hal ini mengakibatkan ada beberapa tipe sepeda motor yang tidak mencapai target penjualan dan mempengaruhi pendapatan usaha Pihak Dealer Panca Prima Abadi menyadari bahwa pelanggan akan kembali membeli sepeda motor jika mendapatkan pelayanan yang baik. Ada beberapa pelanggan yang merasa kualitas pelayanan yang relatif rendah sehingga dalam penyelesaian permasalahan yang belum dapat diselesaikan secara maksimal. Permasalahan kualitas pelayanan service kendaraan didukung oleh bukti jumlah pelanggan yang melakukan service selama 3 (tiga) tahun terakhir yang berubah-ubah. Mengatasi masalah tersebut maka dibuat suatu sistem pendukung keputusan yang akan memudahkan Dealer Panca Prima Abadi untuk mengetahui bagaimana kualitas pelayanan service sepeda motor yang telah diberikan kepada pelanggan selama ini. Berdasarkan perhitungan analisis tingkat pelayanan service kendaraan dan penjualan produk sepeda motor dengan metode Service Quality dapat disimpulkan bahwa service kendaraan memiliki predikat “puas†mendapat nilai persentase 79,17% dan predikat “sangat puas†mendapat nilai persentase 20,83% serta penjualan produk memiliki predikat “puas†mendapat nilai persentase 81,25% dan predikat “sangat puas†mendapat nilai persentase 18,75%.
Kata Kunci: Pelayanan Service Kendaraan, Pelayanan Penjualan Produk, Service Quality
Abstract:Abstrack: This research aims to improve battery performance and safety on the ECGO2 electric motorcycle by re-assembling the battery system using 18650 lithium cells, Daly BMS 13S/7A battery management system, and XH-M604…
4 module. The configuration used is 13S5P (65 cells), resulting in a total voltage of 48.1 V and a capacity of 14 Ah, or equivalent to 673.4 Wh of energy. Compared to the ECGO2 built-in battery that requires 4-7 hours of charging time, this system is able to speed up charging to ±1.6 hours using a 7 A current charger. Test results using an oscilloscope show that the voltage of the assembled battery is more stable under load than that of a single battery, with minimal ripple. The estimated operating time of an 800 W electric motor using a 673.4 Wh battery is about 50 minutes. To achieve 2 hours of operation, the 13S10P configuration or energy-saving mode (400-500 W) can be used. The system is also more cost-effective at Rp2,678 per Wh compared to the manufacturer's version of Rp4,464 per Wh, as well as improved safety against leakage and overheating.
Keywords: 18650 lithium battery; daly bms; electric motorcycle; fast charging.
Abstrak: Penelitian ini bertujuan untuk meningkatkan performa dan keamanan baterai pada sepeda motor listrik ECGO2 dengan merakit ulang sistem baterai menggunakan sel lithium 18650, sistem manajemen baterai Daly BMS 13S/7A, dan modul XH-M604. Konfigurasi yang digunakan adalah 13S5P (65 sel), menghasilkan tegangan total 48,1 V dan kapasitas 14 Ah, atau setara dengan energi 673,4 Wh. Dibandingkan baterai bawaan ECGO2 yang memerlukan waktu pengisian 4–7 jam, sistem ini mampu mempercepat pengisian menjadi ±1,6 jam menggunakan charger arus 7 A. Hasil pengujian menggunakan osiloskop menunjukkan bahwa tegangan baterai rakitan lebih stabil di bawah beban dibandingkan baterai tunggal, dengan ripple minimal. Estimasi lama pengoperasian motor listrik 800 W menggunakan baterai 673,4 Wh adalah sekitar 50 menit. Untuk mencapai 2 jam pengoperasian, dapat digunakan konfigurasi 13S10P atau mode hemat energi (400–500 W). Sistem ini juga lebih hemat biaya dengan efisiensi harga Rp2.678 per Wh dibandingkan Rp4.464 per Wh versi pabrikan, serta meningkatkan keamanan terhadap kebocoran dan panas berlebih.
Kata kunci: baterai lithium 18650; daly bms; sepeda motor listrik; pengisian daya cepat.
Abstract:Abstract: The inability to accurately monitor the lifespan of motorcycle batteries can lead to sudden failures, disrupt user activities, and increase maintenance costs. This issue is exacerbated by the absence of a predictive…
ctive system that can assist users and workshops in planning maintenance and managing battery inventory effectively. This study aims to develop a battery lifespan prediction model for motorcycles using the Double Moving Average (DMA) method. The model is built based on historical data from 12 motorcycle units, including usage frequency, duration, terrain conditions, and maintenance habits. Forecasting is conducted through two stages of moving averages followed by trend parameter calculations. Evaluation results show that the model has a high level of accuracy, with MAPE = 0.10, MAD = 1.68, and RMSE = 2.14, indicating very low prediction errors. In addition, DMA is also used to forecast product demand at PT Anugerah Karya Abiwara Kisaran to prevent stock shortages. The system is developed using Visual Studio 2010 and Microsoft Access and has proven effective in supporting maintenance planning and inventory control. With its high accuracy and efficiency, the results of this study provide tangible contributions to decision-making in battery maintenance and inventory management.
Keywords: battery; DMA; motorcycle; prediction.
Abstrak: Ketidakmampuan dalam memantau usia pakai aki sepeda motor secara akurat dapat menyebabkan kerusakan mendadak, mengganggu aktivitas pengguna, serta meningkatkan biaya perawatan. Permasalahan ini diperburuk oleh tidak tersedianya sistem prediktif yang membantu pengguna dan bengkel dalam merencanakan perawatan serta mengelola persediaan aki secara efisien. Penelitian ini bertujuan untuk mengembangkan model prediksi usia pemakaian aki sepeda motor dengan menggunakan metode Double Moving Average (DMA). Model dibangun berdasarkan data historis dari 12 unit sepeda motor yang mencakup frekuensi penggunaan, durasi, kondisi medan dan kebiasaan perawatan. Proses peramalan dilakukan melalui dua tahap perataan bergerak, yang kemudian diikuti dengan perhitungan parameter tren. Hasil evaluasi menunjukkan bahwa model ini memiliki tingkat akurasi yang tinggi, dengan nilai MAPE sebesar 0,10, MAD sebesar 1,68, dan RMSE sebesar 2,14, yang mengindikasikan tingkat kesalahan prediksi yang sangat rendah. Selain itu, metode DMA juga diterapkan untuk meramalkan permintaan produk pada PT Anugerah Karya Abiwara Kisaran guna mencegah terjadinya kekurangan stok. Sistem dikembangkan menggunakan Visual Studio 2010 dan Microsoft Access, serta terbukti efektif dalam mendukung perencanaan perawatan dan pengendalian persediaan. Dengan akurasi dan efisiensi yang tinggi, hasil penelitian ini memberikan kontribusi nyata dalam pengambilan keputusan terkait pemeliharaan aki dan manajemen inventori.
Kata kunci: baterai; DMA; prediksi; sepeda motor.
Abstract:Abstract: This study aims to develop a Deep Learning-based Traffic Flow Detector to automatically and accurately observe traffic flow. Conventional traffic observation is often conducted manually or via CCTV, but it is prone…
rone to human error and difficult to use for real-time trend analysis. In this study, the YOLOv4 method is used to detect four types of vehicles (cars, motorcycles, buses, trucks). To continuously track vehicle movement and address occlusion issues, the Deep SORT algorithm is implemented. The YOLOv4 model used is a pre-trained model and was tested on seven CCTV video recordings obtained from the official website of the Pekanbaru City Transportation Department. The system was implemented on a limited device, the Nvidia Jetson Nano, as a simulation of direct CCTV integration. Test results showed a highest precision of 98%, but the maximum accuracy achieved was only 26%. This low accuracy is influenced by several factors, including video resolution, detection model quality, and lighting conditions. Nevertheless, the system demonstrates potential to support future traffic management and engineering decisions but still requires further optimization, including improving video resolution and quality, retraining the model with a more representative local dataset, using lighter and more accurate detection models, and optimizing the tracking algorithm.
Keywords: deep learning; deepsort; NVIDIA Jetson NANO; traffic flow; YOLOv4
Abstrak: Penelitian ini bertujuan mengembangkan Traffic Flow Detector berbasis Deep Learning untuk mengobservasi arus lalu lintas secara otomatis dan akurat. Observasi lalu lintas konvensional sering dilakukan secara manual atau melalui CCTV, namun rentan terhadap human error dan sulit digunakan untuk menganalisis tren secara real-time. Pada penelitian ini digunakan metode YOLOv4 untuk mendeteksi empat jenis kendaraan (mobil, motor, bus, truk). Untuk melacak pergerakan kendaraan secara berkelanjutan dan mengatasi masalah occlusion, digunakan algoritma Deep SORT. Model YOLOv4 yang digunakan merupakan pre-trained model dan diujikan pada tujuh rekaman video CCTV yang diambil dari situs resmi Dinas Perhubungan Kota Pekanbaru. Sistem ini diimplementasikan pada perangkat terbatas Nvidia Jetson Nano sebagai simulasi penerapan langsung pada CCTV. Hasil pengujian menunjukkan presisi tertinggi mencapai 98%, namun akurasi tertingginya hanya sebesar 26%. Rendahnya akurasi dipengaruhi oleh beberapa faktor seperti resolusi video, kualitas model deteksi, serta kondisi pencahayaan. Meski demikian, sistem ini menunjukkan potensi untuk membantu pengambilan keputusan dalam manajemen dan rekayasa lalu lintas di masa depan, namun masih membutuhkan optimasi lebih lanjut, seperti peningkatan kualitas video input, pelatihan ulang model dengan dataset lokal, penggunaan model deteksi yang lebih ringan dan akurat serta pengoptimalan algoritma pelacakan.
Kata kunci: deep learning deepsort; Nvidia Jetson Nano; traffic flow; YOLOv4
Abstract:Abstract: Used motorbikes are motorized vehicles that are used by many people in various cicles. For someone who is a prospective buyer of a used motorbike, before coming to the place of puchase they have several choices…
based on several criteria that have been determined according to the used motorbike they want to buy. A problem that often occurs for prospective buyers is the difficulty in determination which used motorbike is superior from several choices based on predetermined criteria. This results in potential buyers feeling confused in making their choice. The difficulty in determining used motorbikes is the reason this research was conducted. In this case, the decision support system will be used as a tool in providing superior used motorbike choices for potential buyers. The method offered in this research is to use a combination of the CoCoSo and SAW algorithms. The criteria for determination a used motorbike consist of 8 criteria namely mileage, price, brand, accessories, tire condition, body condition, engine condition and completeness of documents. In the results of this decision support system research, ranking results using a combination of CoCoSo and SAW methods show that the red Suzuki F1 alternative (A39) is ranked with the highest score.
Keywords: combined compromise solution; decision support system; simple additive weighting
Abstrak: Sepeda motor bekas merupakan kendaraan bermotor yang digunakan oleh sebagian banyak masyarakat dalam berbagai kalangan. Bagi seseorang calon pembeli sepeda motor bekas, sebelum datang ke tempat pembelian mereka memiliki beberapa ketentuan pilihan yang berdasarkan pada beberapa kriteria yang telah ditentukan sesuai dengan sepeda motor bekas yang ingin dibeli. Permasalahan yang sering kali terjadi bagi calon pembeli ialah kesulitan dalam menentukan sepeda motor bekas mana yang unggul dari beberapa alternatif pilihan berdasarkan kriteria yang telah ditentukan sebelumnya. Hal ini mengakibatkan, calon pembeli merasa kebingungan dalam menentukan pilihannya. Kesulitan dalam penentuan sepeda motor bekas tersebut menjadi alasan penelitian ini dilakukan. Dalam hal ini sistem pendukung keputusan akan digunakan sebagai alat bantu dalam memberikan pilihan sepeda motor bekas yang unggul bagi calon pembeli. Metode yang ditawarkan dalam penelitian ini yaitu dengan menggunakan kombinasi algoritma CoCoSo dan SAW. Kriteria-kriteria dalam penentuan sepeda motor bekas terdiri dari 8 kriteria yaitu jarak tempuh, harga, merek, aksesoris, kondisi ban, kondisi body, kondisi mesin dan kelengkapan surat. Dalam hasil penelitian sistem pendukung keputusan ini, memberikan hasil perangkingan dengan kombinasi metode CoCoSo dan SAW menunjukkan bahwa alternatif Suzuki F1 merah (A39) adalah peringkat dengan nilai tertinggi.
Kata kunci : combined compromise solution; simple additive weighting; sistem pendukung keputusan
Abstract:Abstract: Motorcycles are the main and affordable choice for the majority of Indonesian people, two-wheeled vehicles are chosen as the transportation that is commonly used. Indonesia has many motorcycle users, in 2019 there…
ere were 112,771,136 units. In 2020 there were 115. 023. 039 units, and in 2021 there were 120 .042 .298 units. The many motorcycles, increasing the theft of motorcycles (curanmor), and accidents caused by underage use. The purpose of conducting research to minimize theft, and the use of motorbikes by minors, this research uses quantitative methods. The results of the study found that when the user places the KTP on RC522, the condition of relay 1 will become NC to turn on the motorcycle's ignition system, then relay 2 will turn on the motorcycle's starter for 5 seconds, then it will turn off automatically. for relays, arduino provides pure 5VDC voltage. The conclusion from this study , RFID cards and KTP is have different serials, and different numbers, RFID cards have a serial combination of 9 numbers and letters, while KTP has a serial combination of 27 numbers and letters.
Keywords: KTP; microcontroller arduino; sepeda motor; start enggine.
Abstrak : Sepeda motor menjadi pilihan utama dan terjangkau untuk mayoritas masyarakat Indonesia, kendaraan roda dua dipilih sebagai transportasi yang umum digunakan. Indonesia memiliki banyak pengguna sepeda motor, tahun 2019 sebanyak 112. 771. 136 unit. Tahun 2020 sebanyak 115. 023. 039 unit, dan tahun 2021 sebanyak 120 .042 .298 unit. Banyak nya sepeda motor, meningkatkan pencurian sepeda motor (curanmor), dan kecelakaan yang diakibatkan penggunaan dibawah umur. Tujuan dilakukannya penelitian untuk meminimalisir curanmor, dan pemakaian sepeda motor oleh anak dibawah umur, penelitian ini menggunakan metode kuantitatif. Hasil penelitian mendapati ketika user meletakan KTP pada RC522, maka kondisi relay 1 akan menjadi NC untuk menyalakan sistem pengapian sepeda motor, kemudian relay 2 akan menyalakan stater sepeda motor selama 5 detik, kemudian akan mati secara otomatis. untuk relay, arduino memberikan tegangan 5VDC murni. Kesimpulan dari penelitian ini,kartu RFID dan KTP memiliki serial yang berbeda, dan jumlah yang berbeda, kartu RFID memiliki serial kombinasi 9 angka dan huruf, sementara untuk KTP memiliki serial kombinasi 27 angka dan huruf.
Kata Kunci : KTP; microcontroller arduino; sepeda motor; start enggine.
Abstract:Abstract: PT. Panca Niaga Mandiri is an authorized motorcycle dealer in Sei Piring which is engaged in selling Honda motorcycles both in cash and on credit. Dealer Problems PT. Tunas Dwipa Putra at this time is that there…
e is no definite calculation to predict the motorcycle sales target each month and the problems that occur are that sometimes there is an increase or decrease in motorcycle sales for each month because currently, business competition is very tight so that it makes business people compete with each other in their way. Many strategies have been carried out by marketing for how monthly motorcycle sales continue to increase. Therefore, it is necessary to use a forecasting method to predict sales of Honda motorcycles, especially automatic-type Honda motorcycles. The method used is the Trend Moment method. It is hoped that this method can help predict sales of automatic motorcycles for the next month.
Keywords: honda motorcycle; prediction; sales;
Abstrak: PT. Panca Niaga Mandiri merupakan dealer resmi sepeda motor yang ada di Sei Piring yang bergerak pada penjualan sepeda motor honda baik secara tunai maupun secara kredit. Permasalahan Dealer PT. Tunas Dwipa Putra pada saat ini yaitu tidak adanya perhitungan yang pasti untuk memprediksi target penjualan motor disetiap bulannya dan permasalahan yang terjadi terkadang mengalami kenaikan maupun penurunan penjualan sepeda motor untuk setiap bulannya, Karena saat ini persaingan bisnis sangat ketat sekali sehingga membuat para pelaku bisnis saling bersaing dengan cara mereka sendiri. Banyak strategi yang sudah dilakukan oleh marketing untuk bagaimana penjualan sepeda motor setiap bulanya terus meningkat. Oleh karena itu, maka diperlukan metode peramalan untuk memprediksi penjualan sepeda motor honda khususnya sepeda motor honda type matic. Metode yang digunakan yaitu metode Trend Moment diharapakan metode ini dapat membantu dalam memprediksi penjualan sepeda motor matic untuk bulan kedepannya.
Kata kunci:penjualan; prediksi;sepeda motor honda
Abstract:This study aims to improve students' academic achievement by implementing the TAI (Team Assisted Individualization) cooperative learning model. The method used is Classroom Action Research (CAR) conducted over two cycles.…
. Each cycle consists of planning, action implementation, observation, and reflection stages. The subjects of this research are third-semester students totaling 32 individuals. Data were collected through observation and tests using observation sheets and test instruments. Data analysis was conducted qualitatively and quantitatively. The results of the study indicate: 1) There is a significant improvement in students' academic performance from the pre-cycle to cycle 2, indicating that the learning model used is effective in enhancing students' understanding and achievement. 2) Changes in teaching strategies successfully increased the average scores and classical mastery percentages, confirming that adjustments in teaching methods have a positive impact on students' learning outcomes. 3) The number of students who have not reached the learning targets decreased from cycle 1 to cycle 2, indicating an improvement in the quality of learning and the success of additional efforts in addressing learning challenges.
Abstract:The purpose of this research is to determine the improvement in performance and learning outcomes of Physics with the Google Form Assisted Inquiry Learning Model for Class X SMA Asuhan Daya Medan. The type of research used…
ed is classroom action research which aims to determine whether there is an increase in performance and learning outcomes of the subjects, namely students. The population of this research is all students of Class X SMA Asuhan Daya Medan. The sample is class X-IPA, totaling 25 students, who are taught using the inquiry learning model based on the concept of freedom of learning. This type of research is carried out using two cycles to achieve good learning outcomes. The instrument in this question consists of 14 multiple-choice questions with options (a, b, c, d and e) which are tested for validity, reliability and level of test difficulty. Learning outcomes are obtained using the Gain value according to the results of the hypothesis test, learning outcomes increase from ???? ̅ pre-cycle = 36.36 to ???? ̅ cycle I = 68.91 N-Gain = 0.44 and is classified as neutral. learning improvement from ???? ̅ diaphragm = 36.36 ???? ̅ cycle II = 85.09 with N-Gain = 0.74 is classified as high. The increase in learning activity ???? ̅ cycle I meeting 1 = 40.94 to ???? ̅ cycle and I fulfill the first N-Gain = 0.19 less classified as meeting 2 = 52.00, then the learning activity increases ???? ̅ cycle I 1 = 40.94 to meeting II = 66.06 seconds N With - Gain = 0.42 is classified as moderate, and the increase in active learning ???? ̅ cycle I meeting 1 = 40.91 to ???? ̅ cycle II meeting 2 = 85.09 with the third N-Gain = 0.85 is classified as high. The results of this research show an increase in performance and higher learning outcomes in the learning process using the Google Form Assisted Inquiry Learning Model for Class X of SMA Asuhan Daya Medan in the 2023/2024 academic year.