9 research outputs found
Analisis Nilai Pendidikan Agama Islam Dalam Novel Merindu Baginda Nabi Karya Habiburrahman El Shirazy
Get PDFThis research is motivated by the value of Islamic education which is a collection of interrelated principles of life. Contains teachings to maintain and develop human nature and human resources that exist in it towards the formation of a complete human being (insan kamil) in accordance with Islamic norms or teachings. The reason the author took this research was because the novel Merindu Baginda Nabi by Habiburrahman El Shirazy taught readers to always be close to Allah SWT, and worship Allah and always be grateful in any circumstances. Research problems (1) What is the value of Islamic religious education related to Akidah in the novel Merindu Baginda Nabi by Habiburrahman El Shirazy? (2) What is the value of Islamic religious education related to Sharia in the novel Merindu Baginda Nabi by Habiburrahman El Shirazy? (3) What is the value of Islamic religious education related to Morals in the novel Merindu Baginda Nabi by Habiburrahman El Shirazy. The theory put forward by Toto Suryana, et al (1997), Ramayulis, et al (2009), Muhamad Alim (2006). The research method is content analysis. The results of this study conclude that there are three values ​​of Islamic religious education contained in the novel Merindu Baginda Nabi by Habiburrahman El Shirazy, namely (1) The value of Islamic religious education related to faith, namely faith in Allah, faith in the Book, faith in angels, faith in the Prophet, faith in the last day, faith in Qadha and Qadar. (2) The value of Islamic religious education related to Sharia, which includes the pillars of Islam in the form of saying two sentences of shahada, fasting, prayer, zakat and Hajj. Public worship is in the form of prayer, dhikr, alms, reading the Koran and marriage marriage. (3) The value of Islamic religious education related to Morals, namely a) morals towards Allah which includes, pray, dhikr, shalawat, tawakal, repentance, gratitude, Husnudzon. b) Moral towards oneself includes, patience, optimism, effort, trust. c) Morals towards fellow human beings include, help to help, keep promises, generous, and friendship
Multi response optimization of sheet forming of Kenaf-Polypropylene composites using grey based fuzzy algorithm
No full textVirtual Reality Experience In Indonesian Tourism
Get PDFThe shift in the pattern of the tourism industry is inseparable from technological developments. In recent times, a concept known as virtual reality has developed in the tourism sector. The purpose of this study is to determine the antecedents of tourist experience satisfaction, which in turn will shape tourist attitudes. The author explores further the relationship of each variable studied using the Stimulus Organism Response (SOR) framework. The method used in this research is experimental. Respondents were determined as many as 100 people with certain requirements. The data that has been collected is processed using SEM-PLS software. The results of the study stated that all the hypotheses tested were positive, but not all were significant. The author finds that tourist interactions with tourist destinations carried out in the realm of virtual reality are not sufficient to provide significant satisfaction. Another finding in this study shows that the experience satisfaction felt by tourists does not always encourage tourists\u27 attitudes to visit tourist destinations
Sentiment analysis of reviews related to Unesco Global Geopark (UGG) Ciletuh Palabuhanratu on google maps using the naive bayes algorithm
Get PDFCiletuh Geopark is part of the UNESCO Global Geopark Network. This study will analyze a tourist review of the Ciletuh Pelabuhan Ratu Geopark based on reviews on Google Maps. The author considers that user reviews really need to be taken into account because it is to find out the reviews of tourists who share their experiences. Reviews from tourists who have visited geoparks are the most important thing because these reviews can be used as information to be used as data. This research uses the Naïve Bayes Algorithm, because this algorithm is considered to have a high enough level of accuracy so that it can determine the Unesco Global Geopark (UGG) Ciletuh Pelabuhanratu tourist attraction that is often visited based on tourist reviews on Google Maps. Then the highest accuracy value of this research is Palangpang with an accuracy value of 98.61%, the second position is the Cisolok Geyser tourist attraction with an accuracy value of 94.44%, then the third position is the Ujung Genteng tourist attraction with an accuracy value of 98.36%, the fourth namely the Cikaso tourist attraction with an accuracy value of 98.36%, the fifth is the Citepus tourist attraction with an accuracy value of 97.22%, the sixth is the Manic Peak tourist attraction with an accuracy value of 96.92%, the seventh is the Sodong tourist attraction with an accuracy value of 95.83%, the eighth is the Cipanarikan tourist attraction with an accuracy value of 95.01%, the ninth is the Teletubis Hill tourist attraction with an accuracy value of 94.48%, and the last is the Cimarinjung tourist attraction with an accuracy value of 94.44%
Sentiment analysis of reviews related to Unesco Global Geopark (UGG) Ciletuh Palabuhanratu on google maps using the naive bayes algorithm
No full textCiletuh Geopark is part of the UNESCO Global Geopark Network. This study will analyze a tourist review of the Ciletuh Pelabuhan Ratu Geopark based on reviews on Google Maps. The author considers that user reviews really need to be taken into account because it is to find out the reviews of tourists who share their experiences. Reviews from tourists who have visited geoparks are the most important thing because these reviews can be used as information to be used as data. This research uses the Naïve Bayes Algorithm, because this algorithm is considered to have a high enough level of accuracy so that it can determine the Unesco Global Geopark (UGG) Ciletuh Pelabuhanratu tourist attraction that is often visited based on tourist reviews on Google Maps. Then the highest accuracy value of this research is Palangpang with an accuracy value of 98.61%, the second position is the Cisolok Geyser tourist attraction with an accuracy value of 94.44%, then the third position is the Ujung Genteng tourist attraction with an accuracy value of 98.36%, the fourth namely the Cikaso tourist attraction with an accuracy value of 98.36%, the fifth is the Citepus tourist attraction with an accuracy value of 97.22%, the sixth is the Manic Peak tourist attraction with an accuracy value of 96.92%, the seventh is the Sodong tourist attraction with an accuracy value of 95.83%, the eighth is the Cipanarikan tourist attraction with an accuracy value of 95.01%, the ninth is the Teletubis Hill tourist attraction with an accuracy value of 94.48%, and the last is the Cimarinjung tourist attraction with an accuracy value of 94.44%
PERANCANGAN DESIGN OF A PWA-BASED DAILY ACTIVITY REPORT MONITORING INFORMATION SYSTEM IN THE REGENT'S OFFICE OF BANTAENG DISTRICT: DESIGN OF A PWA-BASED DAILY ACTIVITY REPORT MONITORING INFORMATION SYSTEM IN THE REGENT'S OFFICE OF BANTAENG DISTRICT
No full textUtilization of information technology by government institutions also using a monitoring system known as E-Government is an important part of government sustainability. The obstacle faced by each section head is during the process of making monthly reports, where when making monthly reports activities are often not recorded in the agenda book. To overcome this problem, we need a system that can record the daily activities of each section head systematically and accurately. The system that can solve the above problems is a website system, Progressive Web Apps (PWA) is a concept for implementing website creation that applies technology by building applications using the PWA concept which will make web applications run on various platforms such as websites, desktops, and mobile or Android platforms. Based on the percentage value of the question indicators, the System Usability Scale test results were 80.1 and received a "Good" score in the Adjective rating section and received a grade of "B". The method used by the author for this system design research, the Agile Method is a methodology in software development that is based on an iterative work process consisting of agreed rules and solutions.Pemanfaatan teknologi informasi lembaga pemerintahan juga menggunakan sistem monitoring yang disebut sebagai E-Goverment menjadi bagian penting keberlansungan pemerintahan. Adapun kendala yang dihadapi masing-masing kepala bagian adalah saat proses pembuatan laporan bulanan, dimana pada saat pembuatan laporan bulanan aktivitas-aktivitas sering tidak tercatat kedalam buku agenda. untuk mengatasi masalah tersebut perlu sebuah sistem yang dapat mencatat aktivitas harian dari masing-masing kepala bagian secara sistematis dan akurat. sistem yang dapat menyelesaikan permasalahan di atas adalah sistem website, Progressive Web Apps (PWA) adalah konsep penerapan pembuatan website yang menerapkan teknologi dengan membangun aplikasi menggunakan konsep PWA akan membuat aplikasi web berjalan diberbagai platform seperti website, desktop,dan platform mobile atau Android. Berdasarkan nilai persentase dari indikator pertanyaan, didapatkan hasil uji System Usability Scale sebesar 80,1 dan mendapatkan nilai “Good” pada bagian Adjective rating dan mendapatkan grade “B”. metode yang digunakan penulis untuk penelitian perancangan sistem ini, Metode Agile adalah sebuah metodologi dalam pengembangan software yang didasarkan pada proses pengerjaan berulang yang terdiri dari aturan dan solusi yang sudah disepakati
Intellectual Capital Disclosure dan Kinerja Keuangan: Systematic Literature Review
Get PDFThis research aims to find out the direction of development of Intellectual Capital Disclosure and Financial Performance research for 7 years (2015-2022) by mapping or classifying according to themes and according to keywords. By using a literature review system as the basis for research analysis, this research uses a descriptive qualitative approach to collect data. The articles reviewed were taken from Sinta indexed or accredited Sinta-2 journal sources. The research results show: (1) Mapping according to theme shows that the Sinta 2 Accredited Scientific Journal with the name "Accounting or Accounting" totals 10 journals; (2) Mapping according to keywords shows that the number of articles with the keywords Intellectual Capital Disclosure and Financial Performance is 16 articles. The researchers emphasized many limitations of this article. The author determined this limitation by only looking at articles published in the accredited journal Sinta 2 and focusing on the study of Intellectual Capital Disclosure and Financial Performance in Indonesia. Articles from other countries were not included in the review. As a result, there may be articles on certain subjects that are not covered in this review. Although the limitations of this article are the results of the review that the author described, it cannot be concluded that it can generally be applied in Indonesia due to the limited scope of much researc
ANALISIS SENTIMEN APLIKASI PEMBELAJARAN ONLINE DI PLAY STORE PADA MASA PANDEMI COVID-19 MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM)
Get PDFAbstractThe condition of the Covid-19 pandemic in Indonesia this time has caused face-to-face learning to be temporarily stopped, which indirectly encourages anapplication E-Learning on the Play Store to have a high level of usage and a high number of downloads. So far, a predicate for the best application has been given to the application with the highest number of downloads and star rating in the play store. Meanwhile, the author considers that comments from user reviews need to be taken into account because a lot ofapplications E-learning have almost the same number of downloads and star ratings, thus making the best predicate for these applications irrelevant. Therefore this study aims to analyze user reviews comments ofapplications E-learning as an additional variable to determine whichapplication E-learning is the best in the play store. In this study, the SVM (algorithm is usedSupport Vector Machine), the results of previous studies that have been conducted concluded that this algorithm has a high level of accuracy that is considered high enough to determine whichapplication E-learning is the best. After collecting data, the number of which is around 1500 reviews obtained from each application, namely as many as 300 reviews, the results of the data analysis process show that the level of accuracy for the first best application is the Teacher Room of 83.33%, the second Zenius is 82.67% , the third Smart Class was 82.00%, the fourth Edmodo was 74.67%, and the fifth Google Classroom was 64.33%.Keywords: Sentiment Analysis, Covid-19, E-Learning Application, Play Store Reviews, Support Vector Machine (SVM).Kondisi pandemi Covid-19 di Indonesia kali ini menyebabkan pembelajaran secara tatap muka diberhentikan secara sementara, yang secara tidak langsung mendorong sebuah aplikasi E-Learning yang ada di Play Store memiliki tingkat penggunaan dan jumlah unduhan yang tinggi. Selama ini sebuah predikat untuk aplikasi terbaik diberikan kepada aplikasi dengan jumlah unduhan dan pemberian bintang paling tinggi di play store. Sementara penulis menganggap bahwa komentar dari ulasan pengguna perlu diperhitungkan karena banyak sekali aplikasi E-learning yang memiliki jumlah unduhan dan penilaian bintang hampir sama, sehingga membuat predikat terbaik bagi aplikasi tersebut menjadi tidak relevan. Oleh karena itu penelitian ini bertujuan untuk menganalisis komentar ulasan pengguna aplikasi E-learning sebagai variabel tambahan untuk menentukan aplikasi E-learning mana yang terbaik yang ada di play store. Dalam penelitian ini digunakan algoritma SVM (Support Vector Machine), hasil penelitian sebelumnya yang telah dilakukan menyimpulkan bahwa algoritma ini memiliki tingkat keakuratan yang dinilai cukup tinggi untuk menentukan aplikasi E-learning mana yang terbaik. Setelah melakukan pengumpulan data yang berjumalah sekitar 1500 ulasan yang didapat dari masing-masing aplikasi yakni sebanyak 300 ulasan, hasil dari proses analisis data menunjukan bahwa tingkat keakurasian untuk aplikasi terbaik pertama yaitu Ruang Guru sebesar 83,33%, kedua Zenius sebesar 82,67%, ketiga Kelas Pintar sebesar 82,00%, keempat Edmodo sebesar 74,67%, dan kelima Google Classroom sebesar 64,33%.Kata Kunci : Analisis Sentimen, Covid-19, Aplikasi E-Learning, Ulasan Play Store, Support Vektor Machine (SVM)
ANALISIS SENTIMEN APLIKASI PEMBELAJARAN ONLINE DI PLAY STORE PADA MASA PANDEMI COVID-19 MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM)
Get PDFAbstractThe condition of the Covid-19 pandemic in Indonesia this time has caused face-to-face learning to be temporarily stopped, which indirectly encourages anapplication E-Learning on the Play Store to have a high level of usage and a high number of downloads. So far, a predicate for the best application has been given to the application with the highest number of downloads and star rating in the play store. Meanwhile, the author considers that comments from user reviews need to be taken into account because a lot ofapplications E-learning have almost the same number of downloads and star ratings, thus making the best predicate for these applications irrelevant. Therefore this study aims to analyze user reviews comments ofapplications E-learning as an additional variable to determine whichapplication E-learning is the best in the play store. In this study, the SVM (algorithm is usedSupport Vector Machine), the results of previous studies that have been conducted concluded that this algorithm has a high level of accuracy that is considered high enough to determine whichapplication E-learning is the best. After collecting data, the number of which is around 1500 reviews obtained from each application, namely as many as 300 reviews, the results of the data analysis process show that the level of accuracy for the first best application is the Teacher Room of 83.33%, the second Zenius is 82.67% , the third Smart Class was 82.00%, the fourth Edmodo was 74.67%, and the fifth Google Classroom was 64.33%.Keywords: Sentiment Analysis, Covid-19, E-Learning Application, Play Store Reviews, Support Vector Machine (SVM).Kondisi pandemi Covid-19 di Indonesia kali ini menyebabkan pembelajaran secara tatap muka diberhentikan secara sementara, yang secara tidak langsung mendorong sebuah aplikasi E-Learning yang ada di Play Store memiliki tingkat penggunaan dan jumlah unduhan yang tinggi. Selama ini sebuah predikat untuk aplikasi terbaik diberikan kepada aplikasi dengan jumlah unduhan dan pemberian bintang paling tinggi di play store. Sementara penulis menganggap bahwa komentar dari ulasan pengguna perlu diperhitungkan karena banyak sekali aplikasi E-learning yang memiliki jumlah unduhan dan penilaian bintang hampir sama, sehingga membuat predikat terbaik bagi aplikasi tersebut menjadi tidak relevan. Oleh karena itu penelitian ini bertujuan untuk menganalisis komentar ulasan pengguna aplikasi E-learning sebagai variabel tambahan untuk menentukan aplikasi E-learning mana yang terbaik yang ada di play store. Dalam penelitian ini digunakan algoritma SVM (Support Vector Machine), hasil penelitian sebelumnya yang telah dilakukan menyimpulkan bahwa algoritma ini memiliki tingkat keakuratan yang dinilai cukup tinggi untuk menentukan aplikasi E-learning mana yang terbaik. Setelah melakukan pengumpulan data yang berjumalah sekitar 1500 ulasan yang didapat dari masing-masing aplikasi yakni sebanyak 300 ulasan, hasil dari proses analisis data menunjukan bahwa tingkat keakurasian untuk aplikasi terbaik pertama yaitu Ruang Guru sebesar 83,33%, kedua Zenius sebesar 82,67%, ketiga Kelas Pintar sebesar 82,00%, keempat Edmodo sebesar 74,67%, dan kelima Google Classroom sebesar 64,33%.Kata Kunci : Analisis Sentimen, Covid-19, Aplikasi E-Learning, Ulasan Play Store, Support Vektor Machine (SVM)
