Abstract:Abstract: Question classification is a computer science system, which aims to analyze questions and can label each question based on existing categories. Questions can be collected from several materials or topics that are…
re many and different. Therefore, the researcher intends to create a classification system for quiz questions Data Warehouse and Business Intelligence which can be grouped into topics Data Warehouse, Business Intelligence, Data Analytics, and Performance Measurement. One way to solve this problem is by approach machine learning. In this study, researchers used a comparison of machine learning algorithms, namely the algorithm NaïveBayes and SupportVectorMachine using SMOTE and methods Cross-Validation The results of this study show the best accuracy results and are very helpful. The results obtained in the method cross-validation before SMOTE resulted in an accuracy rate of 82.02% for the results after going through the SMOTE stage of 94.79% on the algorithm Naïve Bayes, while the algorithm SupportVectorMachine get accuracy of 81.39% in the process before SMOTE for the results after going through SMOTE of 96.52%.
Keywords: Cross-Validation; Machine Learning; Naive Bayes; Support Vector Machine; Question Classification
Abstrak: Klasifikasi pertanyaan merupakan sebuah sistem ilmu komputer, yang bertujuan untuk menganalisis pertanyaan serta dapat memberi label pada setiap pertanyaan berdasarkan kategori yang ada. Pertanyaan soal dapat dikumpulkan dari beberapa materi atau topik yang banyak dan berbeda. Oleh karena itu, bermaksud untuk membuat sistem klasifikasi pertanyaan soal kuis Data Warehouse dan Business Intelligence yang dapat dikelompokkan menjadi topik Data Warehouse, Business Intelligence, Data Analitik, dan Pengukuran Kinerja. Cara yang dapat dilakukan untuk permasalahan ini dengan menggunakan pendekatan MachineLearning. Pada penelitian kali ini menggunakan perbandingan algoritma MachineLearning yaitu algoritma NaïveBayes dan SupportVectorMachine menggunakan metode SMOTE dan Cross-Validation. Hasil penelitian ini menunjukkan hasil akurasi yang terbaik dan sangat membantu. Hasil yang diperoleh pada metode cross-validation sebelum SMOTE menghasilkan tingkat akurasi sebesar 82.02% untuk hasil sesudah melalui tahap SMOTE sebesar 94.79 % pada algoritma Naïve Bayes, sedangkan pada algoritma Support Vector Machine menghasilkan akurasi sebesar pada proses sebelum SMOTE 81.39% untuk hasil sesudah melalui SMOTE sebesar 96.52%.
Kata kunci: Klasifikasi Pertanyaan; Pembelajaran Mesin; Naive Bayes; Support Vector Machine; Cross-Validation
Abstract:Abstract: Student objectivity in filling out E-EDOM is very necessary, the results of data analysis become the basis for the leadership in making decisions for learning strategies. Previous research has proven that the E-EDOM…
-EDOM filling done by students is not objective. Efforts should be made so that students can fill it in seriously. This study aims to determine strategies that can be applied so that students can fill out the E-EDOM very objectively. Starting with analyzing and collecting data through a questionnaire. The Delon and Mclean model is used as a basis for creating questions in the questionnaire and processing the questionnaire data. The data collection technique used a simple random sampling method, with a population of 121 students from Amik Riau STMIK who were active in the 2019-2020 school year. Before processing, the data is tested for validity and reliability. After testing the validity and reliability, then testing the hypothesis to determine the relationship between variables in the Delon and Mc Lean success model. The results showed that each variable showed the effect of a positive relationship that was fully accepted with a value of 0.000. This means that all the variables used in this study are related to one another. Even so, it is necessary to implement several strategies that must be done in an effort to fill out E-EDOM which is very objective by students.
Keywords: e-edom, delon and mclean models, objectivity, students.
Abstrak: Objektifitas mahasiswa dalam mengisi E-EDOM sangat diperlukan, karena hasilnya akan dijadikan dasar oleh pimpinan dalam mengambil keputusan untuk masalah pembelajaran. Berdasarkan penelitian sebelumnya pengisian E-EDOM yang dilakukan mahasiswa masih banyak yang belum mengisinya dengan sangat objektif. Perlu dilakukan upaya agar mahasiswa dapat mengisinya dengan sunggun-sungguh. Penelitian ini bertujuan untuk menentukan strategi yang dapat diterapkan supaya mahasiswa dapat mengisi E-EDOM dengan sangat objektif. Diawali dengan melakukan analisa dan pengumpulan data melalui kuisioner. Model Delon and Mclean digunakan sebagai dasar untuk membuat pertanyaan dalam kuisioner dan melakukan pengolahan data kuesioner tersebut. Teknik pengumpulan data menggunakan metoda sampling simple random, dengan populasi mahasiswa STMIK Amik Riau yang aktif pada tahun ajaran 2019-2020 sejumlah 121 orang mahasiswa. Sebelum dilakukan pengolahan, terlebih dahulu data-data tersebut dilakukan uji validitas dan reability. Setelah dilakukan uji validitas dan reability, selanjutnya melakukan uji hipotesis untuk mengetahui hubungan antar variable yang ada pada model Delon and Mc Lean success. Hasil penelitian ini menunjukkan bahwa setiap variable menunjukkan pengaruh hubungan positif dapat diterima seluruhnya dengan nilai 0.000. Artinya semua variable yang digunakan pada penelitian ini memiliki keterkaitan antara satu dengan lainnya. Walaupun demikian perlu diterapkan beberapa strategi yang harus dilakukan dalam upaya pengisian E-EDOM yang sangat objektif oleh mahasiswa.
Kata kunci: e-edom, delon and mclean model, mahasiswa, objektifitas.
Abstract:Abstract: Religious tourism especeeially for Hajj and Umroh is increasingly in demand by the public. Auliya Tour & Travel, which is engaged in the travel agency, has diverse pilgrimage data so that the data collection is…
used to find new knowledge as a marketing strategy using Data Mining techniques. Data Mining is one of the KDD processes that has the function for grouping. K-Means Clustering is a data mining technique that aims to group data into a data subset. The grouping of data on Umroh pilgrims is conducted to find out the interest groups of pilgrims based on age. This study categorizes pilgrim data into three clusters, which are very popular, in high demand and less desirable. Attributes used in processing data include gender, age, and congregation package. Before the data calculation process is carried out, the data transformation process is carried out before data calculation process. Based on data calculations that have been done through the RapidMiner software, the members of the group were very interested, ranging in age from 56 to 83 years, interested groups ranging in age from 29 to 55 years and the group was less interested with an age range 2 to 22 years from 170 records.
Keywords: Clustering, Data Mining, K-Means, RapidMiner, Umroh.
Abstrak: Perjalanan wisata religi khususnya untuk ibadah haji dan umroh semakin diminati masyarakat. Auliya Tour & Travel yang bergerak pada bidang biro perjalanan memiliki data jamaah yang beragam sehingga kumpulan data tersebut dimanfaatkan untuk menemukan pengetahuan yang baru sebagai strategi pemasaran dengan menggunakan teknik Data Mining. Data Mining merupakan salah satu proses dari KDD yang fungsi salah satunya untuk pengelompokan. K-Means Clustering merupakan salah satu teknik Data Mining yang bertujuan untuk mengelompokkan data ke dalam subset data. Pengelompokan data jamaah umroh dilakukan bertujuan untuk mengetahui kelompok minat jamaah berdasarkan usia. Penelitian ini mengelompokkan data jamaah menjadi tiga cluster yaitu sangat diminati, diminati dan kurang diminati. Atribut yang digunakan dalam pengolahan data meliputi jenis kelamin, usia, dan paket jamaah. Sebelum proses perhitungan data dilakukan terlebih dahulu dilakukan proses transformasi data. Berdasarkan perhitungan data yang telah dilakukan melalui software RapidMiner diperoleh anggota kelompok sangat diminati dari rentang usia mulai 56 sampai 83 tahun, kelompok diminati dengan rentang usia mulai 29 sampai 55 tahun dan kelompok kurang diminati mulai usia 2 sampai 22 tahun dari 170 record.
Kata Kunci: Clustering, Data Mining, K-Means, RapidMiner, Umroh
Abstract:Abstract: Information systems for processing data on registration of contracts for cafeterias and restaurants regulate all the needs of system users, as well as presenting needed and effective reports. The information system…
stem for processing data on registration of contracts for cafeterias and restaurants has data entry for tenants, places, cafeteria and restaurant management, and contract registration, tenant data search process, and cafeteria and restaurant contract data search process and produces list of tenant names, cafe per contract report month, cafeteria and restaurant contract report per year where all the processes were done manually beforehand.
Keywords: Information System, Cafeteria and Restaurant Contract Registration, PT. Angkasa Pura II
Abstrak: Sistem informasi pengolahan data tata kelola pendaftaran kontrak Cafetaria dan Restoran mengatur semua kebutuhan pengguna sistem, serta menyajikan laporan-laporan yang dibutuhkan dengan efektif dan efesien. Sistem informasi pengolahan data tata kelola pendaftaran kontrak Cafetaria dan Restoran memiliki entri data penyewa, tempat, manajemen cafetaria dan restoran, dan pendaftaran kontrak, proses pencarian data penyewa, dan proses pencarian data kontrak cafeteria dan restoran serta menghasilkan daftar nama penyewa, laporan kontrak cafe per bulan, laporan kontrak cafetaria dan restoran per tahun yang dimana semua proses tersebut dikerjakan secara manual sebelumnya.
Kata kunci: Sistem Informasi, Pendaftaran Kontrak Cafetaria dan Restoran, PT. Angkasa Pura II
Abstract:The Gondoriyo 1-phase network has a network length of 3.2 km supplied by a 1-phase network that is charged in phase S on BSB 1. The extent of the service area makes the load on phase S jump high. The measurement results…
obtained by the load current during peak load reached a total of 62A. While the load current of the repeater at the time of peak load is phase R of 32A, phase S of 98A, and phase T of 44A. With such conditions, it is necessary to expand the medium voltage distribution network in the Gondoriyo area with the aim of balancing the load on the BSB 1 extension. To facilitate load sharing in the expansion of the Gondoriyo area, the ETAP powerstaion 7.5.0 simulation program is used. which consists of 1 phase simulation before expansion and 3 phase simulation after expansion. From the results of this engineering shrinkage simulation, the total engineering shrinkage value in the 1-phase network before the expansion was 6480 kW, after the network expansion, the total engineering shrinkage changed to 2510.4 kW. With the simulation that has been made, it is expected to produce a load sharing plan that will make it easier for PT PLN (Persero) Rayon Boja to share the load on the network after the expansion.
Abstract:Load balancing is one of the things that must be considered by reducing the value of voltage drops or power losses that occur in distribution channels. It is necessary to know the characteristics of the load in an area or…
r area with a balanced supply so that each phase is burdened evenly. Calculating the voltage drop on the distribution network conductors, the voltage drop on the KBN09 Slawi feeder was calculated. What will be calculated here is from the line to the transformer furthest from the GI, namely from the three-phase 20 kV main line, single-phase branching. The results of power calculations from GI Kebasen Tegal show differences between R, S and T phases with three 20 kV phases in pre-balance and post-balance conditions. As written, the value for R wire is 82661.52 W, for S 52613 W, while for the T phase the value is 60127.06 W. Meanwhile, the calculation of power losses from GI Kebasen Tegal shows differences between the R, S and T phases with 1 phase voltage in the conditions before balance and after balanced. On the 3-phase line for the R wire, the power loss decreases from 34,198 W to 17,0425 W, for S it increases from 11,540 W to 19,077 W, while for the T phase the value remains 15,274 W.
Abstract:Hypertension is a non-communicable disease that is a global problem in both developed and developing countries and is the cause of stroke as the second death and third disability. Efforts are needed to reduce and control…
the prevalence of hypertension by utilizing nonpharmacological therapies, such as consuming young coconut water consumption. Therefore, this study aims to evaluate the effect of young coconut water consumption on reducing high blood pressure in menopausal women. A nonrandomized controlled trial study with a pretest-posttest control group design was chosen as the design of this study, which was conducted at the Community Health Center of Pekalongan, East Lampung Regency. A consecutive sampling technique was used to select eligible participants among menopausal women diagnosed with mild and moderate hypertension by medical personnel, totalling 16 treatment groups and 16 control groups. The treatment group was given the intervention of consuming young coconut water 300 ml morning and evening for seven days and taking standard hypertension medication. Meanwhile, the control group took standard hypertension medication. Participants had their blood pressure checked using an aneroid tensimeter before and after treatment. Data were analysed using a paired t-test with a confidence level (α) of 0.05 to prove the treatment effect on blood pressure reduction. The results found that the treatment of drinking young coconut water affected reducing systole blood pressure (p-value 0.016) and diastole (p-value 0.007). The average decrease in systolic and diastolic blood pressure pre and post-treatment was 11.25 mmHg and 9.87 mmHg after participants were controlled by taking standard hypertension medications. Drinking young coconut water can be used as a companion option for hypertension treatment by the community.
Abstract:The hospitality sector is one of the impacted industries, as it is closely connected to the tourism sector by providing lodging for tourists. However, there have been some favourable effects, such as the establishment of…
Kokoon Hotel Banyuwangi in reaction to the pandemic scenario. Increase in staff turnover is correlated with the appearance of opportunities that have resulted from the tourism recovery programme that the Indonesian government has implemented as a response to the Covid-19 outbreak, as was stated before. The research aims to investigate the employees' perception of the workplace climate at Kokoon Hotel Banyuwangi and determine the extent to which the work environment impacts their intention to continue working at the hotel. The qualitative method offers an opportunity for an in-depth exploration of Kokoon Hotel Banyuwangi's Efforts in Retaining Employees. This research found that skill development, career advancement, pay, work culture, benefits, and outstanding relationships affect employee satisfaction at Kokoon Hotel Banyuwangi. To retain staff, Kokoon Hotel Banyuwangi offers cross-training programmes, fair promotion processes, and a comfortable work culture for employee development. Kokoon Hotel Banyuwangi employees depart for financial, professional, and outside experience reasons. Kokoon Hotel Banyuwangi has to strengthen work culture, interactions with supervisors, coworkers, and subordinates, and employee skill development.
Abstract:The purpose of community service which raised the title of Assistance in Making Standard Operating Procedure Flow Diagrams for Cimahi City Drinking Water BLUD Cash Receipts to improve the financial performance of Cimahi…
City Drinking Water BLUD, one of the things that is of concern is that there are differences in data between the Revenue Treasurer and the Accounting Department. While the accounting department is duty to provide financial statement data to DPKP Cimahi City which will then be consolidated to BPKAD Cimahi City. When the accounting department reconciles data with BPKAD, there is different income data between BAPPENDA and BPKAD. This happened because there was no data reconciliation first between the revenue treasurer and the Accounting Section of the Cimahi City Drinking Water BLUD before the data was provided to interested parties. So far, BLUD Drinking Water uses SOPs that have not been updated. The problem occurred because the Cash Receipt SOP had not been updated and had not complied with the SOP preparation standards set by the local government. Needed to create a new Cash Receipt SOP so that the data provided by the Revenue Treasurer or Accounting Section becomes one vote. The methods used in preparing SOP are interviews, observations, and literature studies. The result of the community service carried out is that there is an excel format of the latest Cash Receipt SOP even though it has not been ratified because it is still waiting for the completion of SOP in other divisions.
Abstract:This research aims to determine how the effect of using the look and say method on learning acheivemnt reading comprehension for class VIII D students of SMPN 1 Konawe. The researcher problems were “Is there any significanct…
icanct effect on students’ English reading comprehension before and after taught by using look and say strategy? And Is there any significant difference on students’ English reading comprehension taught by using look and say strategy and those are not?”. This research uses a type of pre-experimental design research with One Group Pretest-Posttest Design. The subjects of this study were students of class VIII D SMPN 1 Konawe totally was 22 students. Data collection techniques were carried out using tests those are pretest, treatment, and posttest. The data collected were analyzed quantitatively using descriptive statistics and inferential statistics. The researcher used theory of Edhitin (2000) to analyzed the data. The results of quantitative analysis show that the results of descriptive statistical data shows that there are differences in the learning acheivement of students' reading comprehension which are marked by the mean score of students who are in the implementation the pretest was 56,59 while in the posttest the students' average score was 70,91. The results of inferential statistical data show that t test > t table or 6,539 > t table = 2,086 if viewed from the results of the pretest and posttest hypothesis tests it is known that t test > t table or 7,936 > 2.086, it can be concluded that H0 is rejected and Ha is accepted. This means that there is an influence of look and say methode on the reading comprehension learning achievement of class VIII D students of SMPN 1 Konawe.