Abstract:Abstract: The Presidential general election on 2019 became one of the most popular topics on twitter nowdays. The society give their opinion about the pair of candidates that they are support through the social media.…
ia. This research was predicts about the society sentimens toward the candidates of President and Vice President of Republic of Indonesia. The data was used based on the tweet on the @jokowi twitter account. The retrieval of data by using the Tweepy library with the Python 2.7 programming language. This research was classified became of two of society sentiments classes, namely positive and negative. The modeling was used of the weighting method Unigram, Bigram, Trigram, N-Gram (1-2) and N-Gram (1-3) that used the Naïve Bayes Algorithm on the Weka Application. The modeling data was used by the dataset of 646 sentences. The highest results of this reseach were obtained by Unigram Weighting, namely: 81.4% accuracy, 81.5% precision, 81.3% recall with a time of 0.3 s.
Keywords: classification, naïve bayes, 2019 presidential election, twitter, unigram
Abstrak: Pemilihan Umum tentang Pilpres 2019 menjadi salah satu topik yang ramai diperbincangkan di Twitter. Adu pendapat di sosial media oleh masyarakat mengandung opini terhadap pasangan calon yang didukungnya. Penelitian ini memprediksi sentimen masyarakat kepada pasangan calon Presiden dan Wakil Presiden Republik Indonesia. Data yang digunakan adalah tweet yang ada pada akun Twitter @jokowi. Pengambilan data menggunakan library Tweepy dengan bahasa pemrograman Python 2.7. Penelitian ini mengklasifikasi sentimen masyarakat menjadi 2 kelas, yaitu positif dan negatif. Kemudian dilakukan pemodelan dengan metode pembobotan Unigram, Bigram, Trigram, N-Gram (1-2) Dan N-Gram (1-3) menggunakan Algoritme Naïve Bayes pada Aplikasi Weka. Pembuatan model menggunakan dataset yang berjumlah 646 kalimat. Hasil tertinggi yang diperoleh pada penelitian ini adalah dengan menggunakan Pembobotan Unigram, yaitu : akurasi 81,4%, presisi 81,5 % , recall 81,3 % dengan catatan waktu 0,3s.
Kata kunci: klasifikasi, naïve bayes, pilpres 2019, twitter, unigram.
Abstract:Abstract: In analyzing information, it is possible for experts to disclose information with uncertain recognition. For example, with the use of consent, the use is large and almost certain. In overcoming uncertainty in the…
he system, experts can use the certainty factor (CF) method. This method can overcome reality with a level of certainty based on facts so that it can explain the confidence of an expert. CF can be applied in an expert system to build a program that can diagnose a set of rules. In this study CF was implemented in an expert system diagnosing seahorse disease. Sea horses have a high trading value, both in living and dead conditions. Therefore, sea horses, including animals that are protected by population. In this study, developing an expert system application that can diagnose seahorse disease can help determine the level of trust of experts and users who use related cases. Based on the test results, it shows that CF is able to cope well and has a high level of accuracy.
Keywords: certainty factor; expert system; seahorses.
Abstrak: Informasi yang dihasilkan dalam diagnosa dimungkinkan menggunakan ungkapan ketidakpastian. Misalkan dengan penggunaan pernyataan mungkin (maybe), kemungkinan besar (probably not), hampir pasti (almost certainty) dan pernyataan tidak pasti lainya. Untuk mengatasi ketidak pastian pada sistem pakar dapat menerapkan pendekatan certainty factor (CF). Metode ini mampu mengatasi ketidakpastian dengan mendefinisikan tingkat kepastian berdasarkan fakta sehingga dapat memaparkan keyakinan seorang pakar. CF dapat diterapkan dalam sistem pakar untuk membangun suatu program yang dapat mendiagnosa berdasarkan suatu set aturan. Pada penelitian ini CF diimplementasikan pada sistem pakar diagnose penyakit kuda laut. Kuda laut memiliki nilai jual perdagangan yang tinggi, baik dalam keadaan hidup maupun mati. Oleh sebab itu kuda laut termasuk hewan yang dilindungi populasinya. Penelitian yang dilakukan menghasilkan sistem pakar yang mampu mendiagnosis serta memberikan solusi untuk penyakit kuda laut dengan menggunakan pendekatan CF dalam penanganan ketidakpastian. Berdasarkan hasil pengujian menunjukkan CF mampu mengatasi ketidakpastian dengan baik dan memiliki tingkat akurasi yang tinggi.
Kata kunci: certainty factor; sistem pakar; kuda laut
Abstract:Abstract: Forecasting sales is one of the challenges in CV. Rabbani Asyisa. This company getting a buildup of product in inventory that makes the company need sales forecasting to avoid the excess of products. Forecasting…
g needs to be followed by measurement of the forecast error rate to determine the accuracy of the prediction forecasting. In this study, the measurement of the forecasting error level in the trend moment method and season index. The study took the data sample from the period of August 2019 to November 2019. The results of error measurement using the trend moment method the value of Mean Absolute Percentage Error (MAPE) is 0.47% and measurements with the influence of the season index the value of Mean Value Absolute Percentage Error (MAPE) is 0.45%.
Keywords: Forecasting; Rabbani; Trend Moment
Abstrak: Melakukan peramalaan penjualan menjadi salah satu tantangan pada CV. Rabbani Asyisa. Perusahaan ini mengalami penumpukan barang pada inventory yang membuat perusahaan membutuhkan peramalan penjualan agar tidak terjadi kelebihan barang. Melakukan peramalan penjualan perlu diikuti dengan pengukuran tingkat kesalahan untuk mengetahui tingat akurasi prediksi dari peramalannya. Pada penelitian ini dilakukan pengukuran tingkat kesalahan peramalan dalam metode trend moment dan indeks musim. Penelitian mengambil sampel data kerudung mulai dari periode Agustus 2019 sampai November 2019. Hasil pengukuran kesalahan dengan metode trend moment nilai Mean Absolute Percentage Error (MAPE) adalah 0.47% dan pengukuran dengan pengaruh indeks musim nilai Mean Absolute Percentage Error (MAPE) adalah 0.45%.
Kata kunci: Peramalan; Rabbani; Trend Moment,
Abstract:Abstract: In this paper we discuss the development of computational application program in MATLAB to calculate the second derivative of a function by using finite difference method for various types (forward, backward, or…
r central) and any order of accuracy. The MATLAB program extends the similar one which has been developed for the first derivative. The program is designed as an implementation of the explicit formulas of finite difference formulated by Khan and Ohba. Through this program, one can easily calculate the second derivative of a function numerically with any order of accuracy and visualize it in a graphical form. Error of numerical derivatives in each order of accuracy confirm the validity of the obtained results.
Keywords: finite difference method, explicit formula, second derivative, MATLAB programming
Abstrak: Dalam makalah ini dibahas pengembangan program aplikasi komputasi pada MATLAB untuk menghitung turunan kedua suatu fungsi dengan menggunakan metode beda hingga pada berbagai tipe (maju, mundur, atau pusat) dan sebarang orde ketelitian. Program MATLAB ini melanjutkan program serupa yang telah dibuat untuk turunan pertama. Program ini dirancang sebagai implementasi dari rumus eksplisit beda hingga yang diformulasi oleh Khan dan Ohba. Melalui program ini, seseorang dengan mudah dapat menghitung turunan kedua suatu fungsi secara numerik dengan sebarang orde ketelitian dan memvisualisasinya dalam bentuk grafik. Galat dari turunan numerik di setiap orde ketelitian mengkonfirmasi kevalidan hasil yang diperoleh.
Kata kunci: metode beda hingga, rumus eksplisit, turunan kedua, pemrograman MATLAB
Abstract:Abstract: The human eye can distinguish objects from digital images, however, computers do not have the ability as human eyes that can directly distinguish objects from digital images. Therefore the bag of visual words method…
ethod was created. Bag of visual words is a method for presenting digital images based on local features. Bag of visual words illustrates how an image can be taken its characteristics, so that computers can distinguish objects on digital images. The test results show that the bag of visual words are still not maximal in classifying digital image categories, especially the chair category, which is only able to produce the most accurate accuracy of 75%. To improve the performance quality of bag of visual words in classifying digital image categories, especially the chair category, you can add an approach to determine the good number of K in clustering the visual words pattern.
Keywords: Bag Of Visual Words, Classification, Digital Image, Speed-Up Robust Feature, Support Vector Machine
Abstrak: Secara kasat mata manusia bisa membedakan objek pada citra digital, namun, komputer tidak memiliki kemampuan sebagai mata manusia yang dapat secara langsung membedakan objek pada citra digital. Maka dari itu diciptakanlah metode bag of visual words. Bag of visual words adalah metode untuk menyajikan citra digital berdasarkan fitur lokal. Bag of visual words menggambarkan bagaimana suatu gambar dapat diambil karakteristiknya, sehingga komputer dapat membedakan objek pada citra digital. Hasil pengujian menunjukkan bag of visual words masih belum maksimal dalam mengklasifikasi kategori citra digital khususnya kategori chair, yang hanya mampu menghasilkan akurasi paling akurat sebesar 75 %. Untuk meningkatkan kualitas kinerja bag of visual words dalam mengklasifikasi kategori citra digital khususnya kategori chair, dapat menambahkan pendekatan untuk menentukan jumlah K yang baik dalam mengkluster pola visual words.
Kata kunci: Bag Of Visual Words, Klasifikasi, Citra Digital, Speed-Up Robust Feature, Support Vector Machine
Abstract:Medical disposable is one of important support tools in medical operational and must not be out of stock in order to deliver excellent service in hospital. The pharmacy department has to forecast the demand to supply information…
ormation for decision making in budgeting. In this paper, is comparing double moving average and double exponential smoothing method for 3 ml spuit for time series 01 January to 30 June 2017. The accuracy of forecasting is the most important and it can be measure with MAPE (Mean Absolute Percentage Error) and RMSE (Root Mean Square Value). The smallest value of MAPE and RMSE is having the high accuracy of forecasting. The double moving average method has the smallest MAPE = 0.353 and RMSE = 95.8 compare to Exponential Smoothingand be the best option to use as method to forecast the medical disposable supply demand.
Abstract:Abstract: The high level of student success and the low level of student failure is a quality of the education world. The world of education is currently required to have the ability to compete by utilizing all resources…
owned. In addition to facilities, infrastructure and human resources, information systems are one of the resources that can be used to improve competency skills. Data mining is a process of data analysis to find a dataset of data set. Data mining is able to analyze large amounts of data into information that has meaning for decision supporters. One process of data mining is clustring. Attributes used in the grouping of student achievement are Name, Extracurricular, Value which include Task Value, Uts Value, Value of Uses, total absenteeism, and Attitude value. The case study of 20 students with distance calculation using manhattan distance, chbychep distance and euclidian distance yielded 67% accuracy.
Keywords: data mining, clustering, k-means, student achievement
Abstrak: Tingginya tingkat keberhasilan siswa dan rendahnya tingkat kegagalan siswa merupakan cemin kualitas dunia pendidikan.Dunia pendidikan saat ini dituntut untuk memiliki kemampuan bersaing dengan memanfaatkan semua sumber daya yang dimiliki. Selain sumber daya sarana, prasarana dan manusia, sistem informasi merupakan salah satu sumber daya yang dapat digunakan untuk meningkatkan kemampuan barsaing. Data mining merupakan proses analisa data untuk menemukan suatu pola dara kumpulan data. Data mining mampu menganalisa jumlah data yang besar menjadi informasi yang mempunyai arti bagi pendukung keputusan. Salah satu proses data mining adalah clustring. Atribut yang digunakan dalam pengelompokan prestasi siswa adalah Nama, Ekstrakulikuler, Nilai yang meliputi Nilai Tugas, Nilai Uts, Nilai Uas, jumlah ketidak hadiran siswa (absensi), dan Nilai sikap. Studi kasus pada 20 siswa dengan perhitungan jarak menggunakan manhattan distance, chbychep distance dan euclidian distance menghasilkan akurasi sebesar 67%.
Kata kunci: data mining, clustering, k-means, prestasi siswa
Abstract:This study analyzes the implementation of the waiting list policy in the administration of the Hajj pilgrimage at the Office of the Ministry of Religious Affairs of Central Maluku Regency. A descriptive qualitative approach…
ach was used to examine how the policy is translated into public service practices, particularly in a local context where the waiting period has reached approximately 18 years, with about 2,500 prospective pilgrims and an annual quota of 135 people. Data were obtained through interviews, observation, and document review involving officials responsible for Hajj and Umrah services and relevant community informants. The data were analyzed using the interactive model of Miles, Huberman, and Saldana, consisting of data condensation, data display, and conclusion drawing. The findings show that policy implementation is supported by four interrelated factors: bureaucratic structure, resources, communication, and the disposition of implementing officers. A clear organizational structure and standard operating procedures facilitate coordination and accountability. Competent human resources, adequate facilities, and the use of Siskohat strengthen service accuracy and transparency. Multi-channel communication helps reduce misunderstanding, while professional and empathetic officer attitudes build public trust. The novelty of this study lies in its local-level analysis of Hajj waiting list implementation in an archipelagic regency. The study implies that transparent, responsive, and humanistic public services are essential for maintaining fairness and legitimacy in long-term Hajj queue management.
Abstract:This study investigates the stress concentration factor in an infinite steel plate with a thickness of 1 cm, containing an elliptical hole, subjected to biaxial loading at infinity. The elliptical hole has semi-axes a=5.0 cma…
0 cma = 5.0 \, \text{cm}a = 5.0 cm (major axis) and b=2.5 cmb = 2.5 \, \text{cm}b = 2.5 cm (minor axis). The applied stresses at infinity are a tensile stress of σ1=100 kg/cm2\sigma_1 = 100 \, \text{kg/cm}^2= 100 kg/parallel to the major axis and a compressive stress of σ2=−100 kg/cm2\sigma_2 = -100 \, \text{kg/cm}^2= -100 kg/ perpendicular to the major axis. The material properties include Young's modulus E=2.1×106 kg/cm2E = 2.1 \times 10^6 \, \text{kg/cm}^2E = 2,1. kg/ and Poisson's ratioν=0.3\nu = 0.3 = 0.3. Using analytical solutions from classical elasticity theory, the maximum tangential stress at the edge of the ellipse is calculated as σmax=600 kg/cm2\sigma_{\text{max}} = 600 \, \text{kg/cm}^2= -600 kg/, yielding a stress concentration factor of kσ=σmax/σ=6k_\sigma = \sigma_{\text{max}} / \sigma = 6 = =6. Additionally, a finite element (FE) analysis based on the Salerno and Sahoni problem for a quarter section of the plate results in kσ=3.1125k_\sigma = 3.1125 = 3.1125 for a configuration with s/r=5s/r = 5s/r = 5, showing a discrepancy of 1.3% compared to the theoretical value of kσ=3.1k_\sigma = 3.1= 3.1 from Peterson's Stress Concentration Factors. The results demonstrate good agreement between the calculated model and theoretical predictions, validating the accuracy of the FE approach for stress concentration analysis in such configurations.
Abstract:This study uses multiple linear regression analysis as the primary analytical tool to investigate the transformative effects of Electronic Self-Assessment Tax (E-SPT) and E-Filing systems on corporate tax revenue. By examining…
mining the integration of these digital tools, the research highlights their significant impact on enhancing tax administration efficiency, accuracy, and compliance. E-SPT simplifies the tax reporting process, reduces administrative burdens, and minimizes errors through automated checks. E-Filing improves transparency and accountability by providing clear, traceable records of submissions. Together, these systems streamline tax compliance, increase taxpayer awareness, and boost overall revenue collection. The study is based on a sample of 100 corporate taxpayers registered at KPP Pratama. The findings indicate that the adoption of E-SPT and E-Filing systems results in significant improvements in corporate tax revenue, emphasizing the role of digital solutions in modernizing tax systems.