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INDONESIA
Prosiding Seminar Nasional Teknoka
Published by Universitas Muhammadiyah Prof. Dr. Hamka
ISSN : -     EISSN : -     DOI : -
Core Subject : Engineering,
Engineering
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Articles 359 Documents
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Implementasi Business Intelligence Untuk Menvisualisasi Data Kekerasan Di Provinsi Jawa Barat Menggunakan Tableau Farhan Bias Purnama Putra; Rizki Alamsyah; Mohammad Akhdaan Juliandra; Isnan Wisnu Prastiyo; Firman Noor Hasan
Prosiding Seminar Nasional Teknoka Vol 7 (2022): Proceeding of TEKNOKA National Seminar - 7
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Penelitian ini membahas business intelligence dalam perannya memvisualisasikan data kekerasan di wilayah Provinsi Jawa Barat. Business Intelligence adalah system yang di gunakan untuk mengumpulkan, menyimpan, dan menganalisis data yang di hasilkan. Data yang terkumpul akan di tampilkan dalam format laporan yang mudah dipahami, komprehensif dan akurat. Dimana data kekerasan diolah dengan tool Tableau dan digunakan untuk melihat hasil pola visual pada data kekerasan berdasarkan tahun, jumlah korban, jenis kelamin tempat kejadian, kabupaten/kota dan bentuk kekerasan, serta jenis pelayanan yang di berikan untuk korban. Tableau merupakan perangkat lunak yang bisa menampilkan data dalam bentuk visual yang menarik. Hasil visualisasi yang didapatkan dalam Tableau dilakukan untuk memvisualisasikan data dalam bentuk dashboard grafis berdasarkan pola data demografi seperti tahun, jumlah korban, jenis kelamin, tempat kejadian, kabupaten/kota, bentuk kekerasan, dan jenis pelayanan untuk menganalisis data yang dapat di gunakan untuk evaluasi pemerintah Jawa Barat.
Implementasi Business Intelligence Untuk Menganalisis Data Jumlah Penduduk Di DKI Jakarta Menggunakan Platform Tableau Hibatullah Faisal; Faisal Parsakh Nursyamsi; Indra Ramadhan; Lingga; Firman Noor Hasan
Prosiding Seminar Nasional Teknoka Vol 7 (2022): Proceeding of TEKNOKA National Seminar - 7
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

In Indonesia, especially in the province of DKI Jakarta, population growth continues to increase every year. Data regarding population growth in the province of DKI Jakarta is an important factor for consideration in decision making based on the visualization results on the data. The purpose of this article is to visualize population growth data from 2019 to 2021 in the province of DKI Jakarta by implementing a Business Intelligence system to display the results of the development of the number of population growth that has been recorded in 2019 to 2021 in the province of DKI Jakarta. The method is to process the population dataset in the DKI Jakarta province from www.data.jakarta.go.id using Tableau. The results are in the form of reports in the form of dashboards such as total population data, the number of population growth by year and city in the DKI Jakarta province which can be used to support a decision making. Display data generated from the results of the analysis will be visualized with an interactive dashboard with Tableau so that it is easy to understand.
Analisis Perbandingan Indeks Prestasi (IP) Mahasiswa Sebelum dan Saat Pandemi Menggunakan Metode Naïve Bayes Widia Putri Septiani; Nunik Pratiwi
Prosiding Seminar Nasional Teknoka Vol 7 (2022): Proceeding of TEKNOKA National Seminar - 7
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

The occurrence of the COVID-19 pandemic has caused changes in various aspects, including the way of learning that has turned into online learning. Naïve Bayes is statistical classification method can make predictions in the future. The purpose of this study is to determine the predicted value obtained up or down from the dataset and to find out the accuracy results in the algorithm testing process and evaluation testing. Naïve Bayes Algorithm can predict whether the GPA will increase or decrease in the in the following semester. The accuracy value of the Naïve Bayes Algorithm test obtained results of 80% before the pandemic and 83% during the pandemic and in the evaluation, process carried out before the pandemic the value rose to 91% precision, 64% recall, and 75% f1-score. As for the decreasing value, the precision value is 76%, the recall is 95% and the f1-score is 85%. During the pandemic, the value went up to get a precision value of 83%, recall of 99%, and an f1 score of 90%. As for the decreasing value, the precision value is 88%, the recall is 30% and the f1-score is 45%. The prediction results before the pandemic for the value to increase amounted to 34 and decreased to 71, and during the pandemic, the predicted value to increase was 95 and decreased by 9.
Perancangan Sistem Pembukuan dan Transaksi Berbasis Website (Studi Kasus: Kios Pelangi) Fahmi Triyadi Fauzi; Nunik Pratiwi
Prosiding Seminar Nasional Teknoka Vol 7 (2022): Proceeding of TEKNOKA National Seminar - 7
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Kios pelangi merupakan tempat usaha menjual perlengkapan alat tulis kantor, mainan anak, alat listrik dan alat teknik lainnya, dalam mengelola toko pemilik menggunakan buku untuk mencatat data barang dan laporan penjualan, kios pelangi berlokasi di Jalan Pringgodani no 69a, Pondok Labu, Cilandak-Jakarta Selatan. Permasalahan yang terjadi terfokus pada pembukuan barang dan transaksi, oleh karena itu penelitian pada permasalahan tersebut bertujuan untuk memberikan penyelesaian masalah yang ada pada kios pelangi, yaitu dengan merancang dan membangun sistem toko pembukuan dan transaksi berbasis web menggunakan metode prototyping, Unified Modelling Language (UML) dan Balsamiq Mockup, membangun dan merancang sistem menggunakan Hypertext Pre-processor atau dikenal PHP dan Xampp sebagai database. Berdasarkan hasil pengujian menggunakan blackbox testing Alpha dan Beta menghasilkan program sesuai keinginan pemilik toko, peneliti memprogramkan pengelolaan pembukuan barang dan transaksi menjadi lebih efisien dan teratur, dengan dibuktikannya perbedaan antara sistem lama dan sistem baru menggunakan stopwatch, pada sistem lama memakai buku catatan untuk mengelola toko memerlukan waktu 5 sampai 10 menit untuk keseluruhan prosesnya berbeda dengan sistem baru terintegrasi komputer mampu menyelesaikan 1 sampai 2 menit untuk seluruh prosesnya.
Analisis Sentimen Tingkat Perbandingan Efisen antara Kendaraan BBM denganKendaraan Listrik Menggunakan Algoritma Naives Bayes Arvin Rafialdo; Achmad Ramadhan; Ananda Prasta Warasati Janah; Azhar Haikal Anwar; Firman Noor Hasan
Prosiding Seminar Nasional Teknoka Vol 7 (2022): Proceeding of TEKNOKA National Seminar - 7
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

The most widely used energy sources today are fossil fuels, one of which is oil, especially Indonesia isstill very dependent on fossil energy, almost 95% of Indonesia's energy needs are still supplied by fossils.Along with the times, many studies are trying to find alternative energy sources, one of which is electric vehicles, as an alternative to the use of fossil energy. Therefore, researchers classify public sentiment and understanding of fuel-oil and electric vehicles using the Naïve Bayes method to compare vehicle efficiency levels. Based on the results of the study, it was found that oil-fueled vehicles with electricity using the Naïve Bayes method yielded 50 results for each data. Fuel-fueled vehicles give positive and negative results, namely 30 and 20. Meanwhile, electric vehicles give positive and negative results of 43 and 7. It can be concluded that public sentiment towards electric vehicles is more efficient than oilfueledvehicles.
Analisis Sentimen Kenaikan Harga BBM pada Media Sosial Twitter Iqbal Musyaffa; Mia Kamayani
Prosiding Seminar Nasional Teknoka Vol 7 (2022): Proceeding of TEKNOKA National Seminar - 7
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Based on information in a press conference at the Merdeka Palace on Saturday, 03 September 2022 at 14.30 WIB, President Joko Widodo has decreed that the price of fuel be officially raised. This is a burden for road users, especially users of two-wheeled vehicles. Currently, many people use social media sites to submit complaints regarding this topic. One of them social media Twitter. Therefore, sentiment analysis was carried out using 2 methods, namely the Naïve Bayes Classifier and the Decision Tree on 1100 tweets obtained from the keyword "bbm up". The test results show thatthe best Performance is using the Naïve Bayes Classifier algorithm, which produces values with an accuracy of 94.91%and for the Decision Tree algorithm only gets an accuracy of 62.57%. The results of sentiment are, positive totaling 68data, neutral totaling 20 data, and negative totaling 301 data. The results of more negative sentiment show that the increase in fuel prices in Indonesia has not been accepted by the Indonesian people on social media Twitter.
Analisis Rugi-Rugi Transfer Pump Tipe Centrifugal Single Stage di Gedung BRI II Kantor Pusat Fadhlurrahman Zaki; Yos Nofendri
Prosiding Seminar Nasional Teknoka Vol 7 (2022): Proceeding of TEKNOKA National Seminar - 7
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Pompa sentrifugal merupakan alat yang mengubah energi penggerak utama (motor listrik atau turbin) menjadi energi kinetik dan kemudian menjadi energi aliran fluida yang sedang dipompa. Tujuan penulisan ini adalah untuk menganalisis besar rugi-rugi dan kinerja pompa distribusi (transfer pump) akibat pemakaian yang sudah lama. Analisis dilakukan untuk mengetahui kinerja dan karakteristik pompa secara aktual guna mendapatkan parameter yang bisa diketahui dalam proses, maka diperlukan data awal yang digunakan dalam perhitungan, yaitu debit air (Q) yang diperoleh dari alat ukur rulermeter, tekanan sisi buang pada pompa (Pd) yang diperoleh dari pressure gauge, analisis hasil akhir, dan kesimpulan. Kapasitas fluida yang dipompakan yaitu 7,458 m3/jam, kecepatan aliran pada pipa 6” sebesar valiran = 0,1138 m/s dan pada pipa 4” sebesar valiran = 0,2557 m/s. Didapatkan efisiensi pompa sebesar ηp = 40% dan daya pompa sebesar WHP = 2,743 kW.
Pengaruh Tingkat Efisiensi Distribusi Penjualan Produk Batik Pamekasan Dengan Metode Data Envelopment Analysis (DEA) Mita Dwi Purwanti; Indra Cahyadi; Ika Deefi Anna
Prosiding Seminar Nasional Teknoka Vol 8 (2023): Proceeding of TEKNOKA National Seminar - 8
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Batik Pamekasan is located in a small village so that buyer access is difficult, besides that it does not measure the efficiency level in each distribution area so that the profit is not optimal. The purpose of this study is to determine the level of efficiency of Pamekasan batik sales distribution using the Data Envelopment Analysis (DEA) method and provide suggestions for improvement in increasing the level of efficiency. The results obtained for the 100% efficient regions are DMU 4, DMU 5, DMU 6, DMU 7, DMU 8 range green. The inefficient regions are DMU 1, DMU 2, the efficiency score is 74.8%, 41.7% range red while DMU 3, DMU 9 the efficiency score is 90.99% range amber. Proposed improvements make rules limiting the purchase of batik products below 500 pieces for low quality, making centers close to customers so that access to purchases is easy and saves distribution costs.
Penerapan Green Productivity Pada UMKM Aneka Batik Pamekasan Muhamad Khoirul Alfa; Indra Cahyadi; Ika Deefi Anna
Prosiding Seminar Nasional Teknoka Vol 8 (2023): Proceeding of TEKNOKA National Seminar - 8
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Aneka Batik is a micro, small and medium enterprise that produces hand-written batik typical of the Pamekasan region. Waste from batik soaking is discharged directly into the ground and sewers. The impact produced by this batik waste is that it causes water pollution and causes corrosion of the soil. One approach that can help Aneka Batik MSMEs to reduce environmental impacts and increase productivity is the application of Green Productivity. With the application of Green productivity we can find out the level of productivity, find out the Enviromental performance Indicator (EPI) and find out alternative solutions for improvement. Based on the calculation, it is known that the resulting EPI index value is -10.382. To increase the EPI value, the alternative solution used is to replace textile dyes with natural dyes. This dye replacement is expected to provide savings of Rp 405,375 and an increase in productivity value of 0.03%.
Integrasi Panel Surya dengan Modul Termoelektrik sebagai Sistem Pendingin Ruangan Bertenaga Surya Nazilul Muttaqin Nautica; Rifky
Prosiding Seminar Nasional Teknoka Vol 8 (2023): Proceeding of TEKNOKA National Seminar - 8
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Solar energy, as a renewable energy source, can be utilized as a power generator for room cooling systems. The room cooling system receives electrical energy supply from the conversion of solar radiation through solar panels. Subsequently, this solar generator system is integrated with thermoelectric modules to produce a cold condition within the cooling system. The objective of this research is to achieve maximum heat absorption by the thermoelectric cooler in the room cooling system, determine the lowest attainable temperature, and evaluate the coefficient of performance of the cooling system. The method employed is an experimental approach, utilizing a room cooling model represented by a 0.25 m3 volume cooling box. The solar cells, serving as the power source, are oriented towards the north to maximize sunlight intensity over an extended period. The solar cell output, in the form of electrical and thermal energy, is supplied to the thermoelectric cooling system arranged in series. When electrical power is applied to the thermoelectric modules, temperature changes occur on both sides. The cold side absorbs heat from the cooling space, while the hot side releases heat into the environment. The use of a heatsink on the cold side enhances heat absorption. After conducting experiments, data collection, and processing, the overall solar cell output is determined to be 413.23 W. Meanwhile, the thermoelectric cooler achieves a minimum temperature of 24.6°C. The total heat load is found to be 416.70 W, resulting in a coefficient of performance for the cooling system of 1.01.

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