Jurnal Universitas Siliwangi
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IDENTIFIKASI POTENSI PENGEMBANGAN KOMODITAS TANAMAN PANGAN DI KECAMATAN BANTARGADUNG KABUPATEN SUKABUMI
Get PDFPertanian memegang peranan penting dalam perekonomian. Oleh karena itu, sektor pertanian harus terus berkembang. Aspek yang perlu diperhatikan dalam pengembangan pertanian yaitu peningkatan hasil produksi pertanian agar tetap bisa bersaing secara efektif. Kabupaten Sukabumi memiliki luas lahan pertanian sekitar 124.607 Ha, menunjukan adanya potensi untuk pengembangan pertanian. Pangan merupakan kebutuhan pokok manusia dan Kecamatan Bantargadung oleh pemerintah Kabupaten Sukabumi diarahkan untuk pengembangan komoditas pangan padi sawah, padi gogo, jagung, kedelai, kacang tanah, kacang hijau, ubi kayu dan ubi jalar.Maka dari itu, penelitian ini bertujuan untuk menentukan komoditas unggulan tanaman pangan di Kecamatan Bantar Gadung Kabupaten Sukabumi, dengan menggunakan analisis LQ (Location Question).Hasil penelitian menunjukkan bahwa komoditas kacang tanah di Kecamatan Bantargadung merupakan sektor basis dengan LQ sebesar 70,040 dan produksi mencapai 798,39 ton/hektar. Tingginya tingkat produksi, komoditas kacang tanah memiliki potensi dalam pengembangan pertanian, meningkatkan perekonomian dan bisa menjadi komoditas ekspor.
THE RELATIONSHIP BETWEEN GENIALLY LEARNING MEDIA AND THE MATHEMATICAL CREATIVE THINKING ABILITY OF FIFTH GRADE ELEMENTARY SCHOOL STUDENTS
Get PDFThe development of creative thinking skills in problem-solving is crucial, especially in mathematics at the elementary school level. This study aims to investigate the relationship between the use of Genially learning media and the creative mathematical thinking abilities of fifth-grade students at SDN Sunter Jaya 03 Pagi. Employing a quantitative approach with a correlational design, the study involved all fifth-grade students as the sample. Data were collected through a creative thinking skills test and a questionnaire analyzing the use of Genially. The results indicate that Genially was engaging for students (84%), but they faced language comprehension difficulties (70%). The creative mathematical thinking test revealed that the fluency indicator had the highest percentage (81.5%), while the originality indicator had the lowest (40.5%). Pearson correlation analysis showed no significant relationship between the use of Genially media and students' creative mathematical thinking abilities, with a significance value of 0.731 and a Pearson Correlation of 0.072. These findings suggest that while Genially may be engaging, it does not significantly enhance creative mathematical thinking on its own. The study implies the need for further guidance from teachers in using Genially media to optimize students' creative potential and enhance their understanding of the learning material. This highlights the importance of integrating instructional support with technological tools in the learning process
Development Prediction Model to Optimize Cooperative Loans Based on Machine Learning Algorithms
Get PDFDefault on loans by borrowers to the cooperative to optimize the cooperative's business performance. In this research, a default prediction model was developed using several quite popular machine learning algorithms, namely decision tree, K-NN, logistic regression, and random forest, then all models with each of these algorithms were compared and evaluated. to find out which algorithm model is the most effective and accurate in predicting loan defaults in cooperatives. Model evaluation is carried out using metrics such as accuracy, precision, recall, and f1-score. The dataset used in this research was obtained from the loan list at one of the Savings and Loans Cooperatives in Tasikmalaya Regency, the contents of which include attributes such as borrower profile, loan amount, number of installments, and others. This dataset is divided into training data and test data to train and evaluate the model. These machine learning algorithms were chosen because they are quite well known among other algorithms for prediction and have been proven in several financial studies. The results of this prediction model can be used by cooperatives to support decisions in providing appropriate loans
STUDI ANALISIS EFISIENSI PENGGUNAAN BATERAI DI GAS INSULATED SUBSTATION WARU
Get PDFGas Insulated Switchgear (GIS) dalam beroperasi menggunakan dua sumber daya yaitu bolak balik (AC) dan searah (DC). Baterai merupakan alat penting untuk menampung sumber DC dari rectifier agar dapat dimanfaatkan dengan efisien. Baterai ini akan mensuplai daya untuk dipergunakan mesin dan peralatan yang memerlukan sumber DC. Baterai dengan nilai efisiensi baik maka menunjukkan baterai masih berkualitas bagus sehingga masih aman untuk digunakan. Metode penelitian ini dilaksanakan secara langsung di lokasi pemeliharaan baterai GIS Waru untuk mengumpulkan data. Berdasarkan hasil dari menganalisis data pemeliharaan baterai di GIS Waru diketahui bahwa baterai unit 1 110 VDC di GIS Waru masih layak untuk digunakan karena mempunyai kapasitas pengosongan sebesar 286 Ah dengan waktu pengosongan selama 7 jam dan memiliki efisien sebesar 137,5%. Penelitian ini dapat menjadi penilaian baterai dalam memastikan kelayakan untuk dapat dimanfaatkan kembali. Kata Kunci: Baterai, Efisiensi, GIS Waru, Uji Kapasita
DESAIN DAN SIMULASI DC-DC SHUNT BUCK CONVERTER EFISIENSI TINGGI MENGGUNAKAN KONTROL LOGIKA FUZZY
Get PDFAbstract The development of electronic component and circuit technology is able to produce a direct current voltage power supply system or more briefly DC (Direct Current), which is produced by converting the input voltage to the desired output voltage form (DC to DC converter). In its development, there are three types of DC to DC converter types, namely, boost converter (step up), buck converter (step down),and buck-boost converter (step up and step down). Of the three types, there have been several developments that have been carried out, as one example is the shunt buck converter that will be used in this study. The simulation test result of the shunt buck converter circuit carried out by means of 3 approaches, namely open loop, close loop with PID control, and close loop with fuzzy logic control can produce an output voltage value that is smaller than the input voltage value given, this is accordance with the function of the buck converter itself. In addition, the efficiency value obtained from the three experiments with the previously mentioned approaches has a fairly high value ranging from 65% - 99% with the highest efficiency obtained being 98,7%. Keyword: Buck Converter, Efficiency, Fuzzy Logic, PID, Shunt Abstrak Perkembangan teknologi komponen dan rangkaian elektronika mampu menghasilkan sistem penyedia daya tegangan arus searah atau lebih singkatnya DC (Direct Current), yang dihasilkan dengan cara mengkonversi tegangan masukan ke bentuk tegangan keluaran yang diinginkan (DC to DC converter).Pada perkembangannya ada tiga tipe tipe DC to DC converter yaitu, boost converter (step up), buck converter (step down), dan buck-boost converter (step up dan step down). Dari tiga tipe tersebut sudah ada beberapa pengembangan yang telah dilakukan, sebagai salah satu contohnya yaitu shunt buck converter yang akan digunakan pada penelitian ini. Hasil uji simulasi rangkaian shunt buck converter yang dilakukan dengan cara 3 pendekatan yaitu open loop, close loop dengan kontrol PID, dan close loop dengan kontrol logika fuzzy dapat menghasilkan nilai tegangan keluaran yang lebih kecil dari nilai tegangan masukan yang diberikan, hal ini sesuai dengan fungsi dari buck converter itu sendiri. Selain itu, nilai efisiensi yang didapatkan dari ketiga percobaan dengan pendekatan yang telah disebutkan sebelumnya memiliki nilai yang terbilang tinggi yang berkisar antara 65% - 99% dengan efisiensi tertinggi yang didapatkan adalah 98,7%.Keyword: Buck Converter, Efisiensi, Logika Fuzzy, PID, Shunt
Distance Testing on Point To Point Communication with Lora Based on RSSI and Log Normal Shadowing Model
No full textBig cities are currently implementing the smart city concept, where Internet of Things (IoT) sensors are placed on the roads, then the data is collected and processed by smart devices to solve urban problems. IoT implementation is suitable using LoRa technology. In this paper, distance testing is carried out on point to point communications with LoRa in urban areas at a frequency of 915 MHz. The RSSI (Received Signal Strength Indicator) parameter value is what is observed, and the log normal shadowing model is used to compare the RSSI values computationally. The test results for the farthest distance were 3.37 km with an RSSI value of -104.5 dBm. The error value between the measured and calculated RSSI values is 7.3% where a path loss exponent (n) of 1.6 from the measurement results
Analisis Karakteristik Arus Lalu Lintas Menggunakan Metode Logaritmik Greenberg Dan Eksponensial Underwood (Studi Kasus: Jalan RS Fatmawati Raya, Kota Jakarta Selatan)
Get PDFKarakteristik arus lalu lintas yang terdiri dari volume, kepadatan, dan kecepatan merupakan komponen utama dalam menganalisis kondisi eksisting lalu lintas suatu ruas jalan. Jika terdapat permasalahan pada kondisi lalu lintas khususnya di jalan raya, hendaknya diperlukan analisis guna mengetahui kondisi jalan tersebut seperti halnya pada bagian Jalan RS Fatmawati Raya, yang merpakan jalan arteri sekunder. Jalan tersebut berada di area komersial yang terdiri dari pusat perbelanjaan, pertokoan, dan perkantoran sehingga banyak kegiatan perpindahan tempat menggunakan alat transportasi yang tersedia. Penelitian ini bertujuan untuk mengetahui nilai volume maksimum (kapasitas jalan), kecepatan arus bebas, kecepatan maksimum, nilai kepadatan pada jam puncak, dan nilai kepadatan optimum antara model logaritmik dan eksponensial, sehingga dapat diketahui hasil hitungan model yang paling mendekati dengan kondisi aktual dari alat perhitungan sensor arus lalu lintas. Metode penelitian yang digunakan yaitu pemodelan matematika dari metode logaritma Greenberg dan eksponensial Underwood yang dapat menganalisis ketiga parameter utama dari karakteristik lalu lintas. Hasil dalam penelitian ini menunjukkan bahwa model matematika yang terpilih untuk menganalisis hubungan arus lalu lintas pada Jalan RS Fatmawati Raya yaitu model Underwood, karena model tersebut memiliki nilai koefisien korelasi (R) tertinggi yaitu 0,965 dan nilai koefisien determinasi (R Square) sebesar 0,931. Hasil tersebut juga berdasarkan dari hitungan persamaan regresi yang membuktikan bahwa nilai korelasi tertinggi didapatkan pada metode Underwood daripada metode Greenberg
Pengaruh Komite Audit, Transfer Pricing, Profitabilitas, dan Sales Growth Terhadap Penghindaran Pajak (Tax Avoidance)
Get PDFABSTRACTTax is an obligation that must be paid by the Company to support the implementation of National Development and Community Welfare, but it is not uncommon for companies to practice tax avoidance, because taxes can reduce company income. This study aims to scientifically examine the effect of the Audit Committee, Transfer Pricing, Profitability, and Sales Growth on Tax Avoidance in Manufacturing Sector Companies listed on the Indonesia Stock Exchange for the 2019-2021 period. This type of research uses quantitative research, and the research design is causal associative. The research population used the Purposive Sampling method. Data processing uses the IBM SPSS statistical version 24 application, with descriptive analysis, classical assumption test, multiple linear regression, and hypothesis testing. The results of the study indicate that the Audit Committee, Transfer Pricing, and Sales Growth partially affect Tax Avoidance. while Profitability partially has no effect on Tax Avoidance. However, for simultaneous testing, it is found that the Audit Committee, Transfer Pricing, Profitability, and Sales Growth affect Tax Avoidance.Keywords: Audit Committee, Transfer Pricing, Profitability, Sales Growth, Tax Avoidance ABSTRAKPajak merupakan kewajiban yang harus dibayarkan oleh Perusahaan guna mendukung pelaksanaan Pembangunan Nasional dan Kesejahteraan Masyarakat, namun tak jarang Perusahaan yang melakukan praktik penghindaran pajak, karena pajak dapat mengurangi pendapatan perusahaan. Penelitian ini bertujuan untuk mengkaji secara ilmiah pengaruh Komite Audit, Transfer Pricing, Profitabilitas, dan Sales Growth terhadap Tax Avoidance pada Perusahaan Sektor Manufaktur yang terdaftar di Bursa Efek Indonesia periode 2019-2021. Jenis penelitian ini menggunakan penelitian kuantitatif, serta desain penelitiannya berupa asosiatif kausal. Populasi penelitian menggunakan metode Purposive Sampling. Pengolahan datanya menggunakan aplikasi IBM SPSS statistic versi 24, dengan analisis secara deskriptif, uji asumsi klasik, regresi linear berganda, dan pengujian hipotesis. Hasil dari penelitian menunjukkan bahwa Komite Audit, Transfer Pricing, dan Sales Growth secara parsial berpengaruh terhadap Tax Avoidance. sedangkan Profitabilitas secara parsial tidak berpengaruh terhadap Tax Avoidance. Namun untuk pengujian secara simultan didapatkan hasil bahwa Komite Audit, Transfer Pricing, Profitabilitas, dan Sales Growth berpengaruh terhadap Tax Avoidance.. Kata Kunci: Komite Audit, Transfer Pricing, Profitabilitas, Sales Growth, Tax Avoidanc
Implementation Of C5.0 Classification And Support Vector Machine Algorithm With Correlation-Based Feature Selection In Application Liver Disease
Get PDFLiver disease is a general term that refers to a number of disorders or problems that affect the liver. The liver is an important organ in the human body and has many diverse functions, including food processing, protein production, toxin removal, and energy storage. Therefore, when the liver experiences disorders or disease, it can have a serious impact on the overall health and function of the body. Liver disease is a significant global health problem. Early detection as well as classification of liver disease can provide valuable guidance for effective treatment. Based on the problems above, the aim of this research is to create a liver disease classification model using C5.0 and Support Vector Machine with Radial Basis Function (RBF) and Sigmoid kernels. With data obtained from the liver disease dataset. The two methods will be compared and we will find out which one produces the best results. The method used is also optimized with CFS (Correlation Based Feature Selection) feature selection. The results of the classification process, namely the C5.0 Model and Support Vector Machine (RBF) with CFS have a similar accuracy of 76%, while the Support Vector Machine (Sigmoid) has an accuracy of 70%, without feature selection the C5.0 algorithm has an accuracy of 66% , Support Vector Machine between RBF and sigmoid kernels has an accuracy of 69% and 55%
Studi Komparasi Kemampuan Penalaran Analogis Siswa Berdasarkan Keikutsertaan di Bimbingan Belajar Luar Sekolah
Get PDFThis research was conducted to investigate whether there is a difference in analogical reasoning ability between students who take tutoring and those who do not. The research employed ex-post facto quantitative research and was carried out in SMPN 1, SMPN 2, and SMPN 3 in Tasikmalaya City. The sample size consisted of 124 class IX students, selected through cluster random sampling. Data was gathered through analogical reasoning ability test and analyzed using the dependent t-test in SPSS Statistics 24 software. The result of the analysis obtained a significance value of 0,809 0,05 hence the null hypothesis is accepted. It means there is no significant difference in analogical reasoning ability between students who took tutoring and those who did not take tutoring.Keywords: tutoring; analogical reasoning abilit