23 research outputs found
Lockdown Policy As A Corona Desease (COVID-19) Management Efforts Asked From The Environmental Aspect Of Life Based On Law Act No. 32 Of 2009 Concerning Protection And Management Of Environment
No full textThe government has formed the COVID-19 (Task Force) Acceleration Countermeasures Group to discuss strategies to deal with the Corona Virus outbreak. One of Covid-19\u27s coping strategies, namely: Social restrictions in the form of Lock Down with modifications or rules that are clarified and clear in priority areas as of now, but proposals in the form of Lock Down in priority areas such as DKI are not approved by the government. Although in the end the DKI Jakarta Government issued a policy after approval from the central government through the Minister of Health in the form of Governor\u27s Regulation Number 33 Year 2020 concerning the Implementation of Large-Scale Social Debate in Handling Corona Disease 2019 (COVID-19) in the Special Capital Province of Jakarta and Governor Decree Number 380 Year 2020 concerning the Imposition of the Implementation of Large-Scale Social Restrictions in Handling Corona Disease 2019 (COVID-19) in the Special Capital Province of Jakarta. If the lockdown is really implemented, then this effort will indirectly have an impact on the environment, because the policy will relate to space that includes all objects, power, conditions, and living things, including humans and their behavior, which affect nature itself, continuity of life, and the welfare of humans and other living things. Therefore it is necessary to examine the relationship between the lockdown policy and COVID-19 countermeasures in the perspective of the Environmental Protection and Management Law. The author intends to find a connection point between the lockdown policy by looking at the impact it has on the environment by referring to the Law Act No. 32 Of 2009 Concerning Protection And Management Of Environment
Pengaruh Organizational Culture, Transformational Leadership, dan Competence terhadap Employee Performance di Kantor Pelayanan Utama Bea dan Cukai Tipe A Tanjung Priok
No full text
Penelitian ini mengkaji pengaruh budaya organisasi, kepemimpinan, dan kompetensi karyawan terhadap kinerja karyawan di Kantor Pelayanan Utama Bea dan Cukai Tipe A Tanjung Priok dengan menggunakan pendekatan kuantitatif. Hasil penelitian menunjukkan bahwa seluruh asumsi klasik dalam analisis regresi telah terpenuhi, dan instrumen yang digunakan dinyatakan valid serta dapat diandalkan. Berdasarkan analisis regresi linier berganda, Transformational Leadership terbukti memiliki pengaruh positif dan signifikan terhadap Employee Performance. Sementara itu, Organizational Culture dan Competence karyawan tidak menunjukkan pengaruh yang signifikan secara individual terhadap Employee Performance. Namun, ketika ketiga variabel tersebut dipertimbangkan secara bersama-sama, ditemukan adanya pengaruh yang signifikan terhadap Employee Performance secara keseluruhan. Temuan ini menegaskan pentingnya Transformational Leadership yang efektif dalam meningkatkan Employee Performance, meskipun Organizational Culture dan Competence belum menunjukkan kontribusi yang kuat secara terpisah. Oleh karena itu, studi ini merekomendasikan penguatan kualitas Transformational Leadership melalui program pelatihan dan pengembangan yang terstruktur, serta perlunya evaluasi dan peningkatan terhadap budaya organisasi dan program pengembangan Competence guna mengoptimalkan Employee Performance. Perbedaan hasil ini dibandingkan dengan penelitian sebelumnya dibahas dalam konteks karakteristik khusus dari lingkungan kerja di Kantor Pelayanan Utama Bea dan Cukai Tipe A Tanjung Priok
Analysis Strategy of The Tahfidzul Qur'an Method for The Excellence Program at SMP IP Al-Madinah Nogosari
No full textThe Qur’an is a book that Allah revealed to the Prophet Muhammad through the Angel Jibril. The Qur'an is a guide to human life on Earth. So maintaining glory is a duty for all humans, especially Muslims in the world. One way to preserve the Qur’an is to read and memorize it and study the verses in it. Memorizing the Qur'an has many advantages. In fact, Allah promises to reward those who memorize the Qur'an with His heaven. In maintaining the sanctity of the Qur'an, SMP IP Al-Madinah is trying to create a program that focuses on the field of Tahfidzul Qur'an. The program is a grouping of students with a certain level of memorization into the Tahfidzul Qur'an halaqah according to their abilities. One of these programs is the excellence program for Tahfidzul Qur'an. The excellence Tahfidzul Qur'an program is a program that develops students' ability to memorize the Al-Qur'an with the aim of producing students who have good and extensive memorization.
The aim of this research is to determine the strategies, methods and supporting and inhibiting factors of Tahfidzul Qur'an as an excellence program at SMP IP Al-Madinah Nogosari. The research method used is descriptive qualitative. The data taken in this research is in the form of interviews, observation and documentation.
The results of this research are SMP IP's strategy for developing students' potential in the field of Al-Qur'an by creating an excellence program for Tahfidzul Qur'an. The memorization method applied is the talaqqi method, namely the teacher meets directly with the student. The target that excellence halaqah students must achieve is 2 juz in one semester. There are several factors that support and inhibit the implementation of this program, namely internal factors and external factors. The author hopes that this research will be useful for schools, universities and memorizers of the Al-Quran. And the author also provides suggestions for using this research as best as possible and for future researchers to develop research in the field of the Al-Qur'a
PODCAST SEBAGAI MEDIA KRITIK SOSIAL (Analisis Wacana Digital pada Podcast Mendoan “Bukannya Menginjak Dewasa Malah Menginjak Gulune Wong” di Spotify Terkait Kasus Penganiayaan oleh Mario Dandy)
No full textThe case of abuse by the child of an official at the Directorate General of Taxes, Mario Dandy, against David Ozora has often been in the public spotlight. This case drew social criticism launched by the public against state officials through various media, including new media. Submission of social criticism through new media is carried out by the Mendoan podcast on Spotify. One of the episodes, namely “Instead of Stepping on Adults Instead of Stepping on Gulune Wong”, Mendoan's podcast carries out social criticism of the abuse case by Mario Dandy. The author conducted an analysis of the podcast episode as a research subject using the digital discourse analysis method which pays attention to four things, namely text, context, action and interaction, as well as ideology and power. The writer finds that the text of the episode is thick with social criticism, especially explanations and reactions to the Mario Dandy case, taxation issues, rich people's children, and big motorbike users. The context of the podcast which consists of Mendoan's background as an Indonesian citizen, a taxpayer, originally from East Java, a former radio announcer, and a comedian demonstrates his competence in conducting social criticism. Through Twitter, actions and interactions outside the podcast also show satire, annoyance, and even criticism that contains criticism. Podcast's ideology and power through its
character as new media without abandoning its function as a development from conventional media has an impact on social justice while at the same time accommodating the opinions of various groups of people
Twitter user sentiment analysis for RUU Omnibus Law using convolutional neural network
No full textThe general function of social media is for online interaction with many people. Moreover, social media have functions for sharing information, discussion, and giving an opinion media about some topics that a lot of people talk about, one of that media is Twitter. An atopic will show many opinions and different responses from everyone. This study was for making an analysis opinion from social media Twitter user about Rancangan Undang-Undang (RUU) Omnibuslaw topic using a Convolutional Neural Network method wich one of Deep Learning method. This study has been done a sentiment analysis with opinion data from many different people through the tweet they making, Preprocessing and weighting are done using Word2vec which give 84% result accuracy of an algorithm from 10-time testing. Based on 2.820 tweet data, the result is 1.320 data of positive sentiment, and 1.500 data of negative response for the RUU Omnibuslaw topic in Indonesia
Analysis of Methods and Sources of Interpretation of the Book of Tafsir Al Kasyif in Surah Al Fatihah Verses 1-7
No full textInterpretation as a result or product of the dialectic between the reasoning of an interpreter and the text, and the context that surrounds it, requires continuous dynamics, interpretation has no stopping point. That is why the product of interpretation needs to be studied. This writing aims to analyze the methods and sources of interpretation used in the book Tafsir al Kasyif by Muhammad Jawwad Mugniyah, especially in surah al Fatihah verses 1-7. The author uses a qualitative method through literature study with various reference sources, both primary and secondary based on books, journals, and others that support this research. The special methods presented by Tafsir al Kasyif include: presenting a special discussion on Isti'adzah and Basmallah; mentioning the name of the surah; writing one surah as a whole; presenting various opinions about where it was revealed; explaining the naming of surah al Fatihah first; Interpreting the Qur'an verse by verse; explaining the rules of language; explaining the meaning and prioritizing the opinion of Ali Zainal Abidin; Explaining vocabulary; explaining the differences in readings (qiraat). Muhammad Jawwad uses a general method: Tahlili, in presenting his tafsir work, along with a special method that tends towards linguistic rules to examine each meaning, and is accompanied by a variety of opinions that prioritize opinions oriented towards the fanaticism of his sect's ideology. If there are differences in readings or qiraat, he presents these differences, but does not explain them in depth and includes strong sources, only as informative
Pemilihan Pemimpin Non-Muslim di Wilayah Mayoritas Muslim Perspektif Nahdatul Ulama dan Mummadiyah
No full textThis article discusses non-Muslim leaders in the region choosing Muslims from the views of Nahdlatul Ulama and Muhammadiyah. The formulation of the problem to be answered in this study is What is the leadership succession procedure in Islam? (2) What is the fiqh view of non-Muslim leadership? (3) What is the view of the Islamic community organizations Nahdlatul Ulama and Muhammadiyah on the law of choosing non-Muslim leaders in Muslim-majority areas?The type of research used by the author is library research which is guided by data processing and is also obtained from various literature related to the title of this article which is sourced from primary data and secondary data. The research approach used is a political approach. The results of this study indicate that the leadership succession procedure in Islam there is no standard and standard procedure set by the Al-Qur'an and Hadith, but the jumhur of ulama agrees that leaders in Islam are chosen in two ways, namely appointed by ahlul halli wal aq in the election committee and appointed by the previous leader. The majority of fiqh scholars view that non-Muslim leadership in Muslim-majority areas is not allowed because their leadership is not valid according to Islamic sharia, unless these non-Muslim leaders lead and control in non-Muslim-majority areas. Meanwhile, in the view of Nahdlatul Ulama and Muhammadiyah regarding the law of choosing non-Muslim leaders, there is already a fatwa stipulation from the two organizations that it is haram to choose non-Muslim leaders but Nahdlatul Ulama provides a little leeway by exempting in an emergency.Keywords: Non-Muslim Leaders, Succession, Nahdlatul Ulama, Muhammadiyah
Analisis Sentimen Level Aspek Teks Bahasa Indonesia Pada Media Sosial Menggunakan Hierarchical Attention Position-Aware Network (Studi Kasus : Politik)
No full textJumlah pengguna internet penduduk indonesia dari tahun ke tahun semakin meningkat. Pengunaan internet ini sebagian besar digunakan untuk berinteraksi di media sosial. Pengguna media sosial seringkali mengungkapkan pikiran atau pandangannya di media sosial salah satunya dibidang politik. Khususnya pada tahun 2019 ini dimana terjadi pesta demokrasi di Indonesia yaitu diadakannya pemilu . Hal ini membuat banyak bermunculan opini-opini tentang objek politik. Untuk mengetahui pandangan atau penilaian masyarakat terhadap suatu objek politik dapat digunakan analisis sentimen. Umumnya terdapat dua macam sentimen atau opini yang ditulis yaitu sentimen positif dan sentimen negatif. Tetapi perlu diperhatikan juga bahwa dalam satu kalimat opini dapat mengandung berbagai sentimen. Hal ini dikarenakan suatu objek politik dapat memilik berbagai aspek yang juga diberikan pandangan sendiri oleh penulis. Banyaknya jumlah opini yang tidak sesuai dengan kaidah standar akan membuat penarikan kesimpulan sentimen level aspek dari objek menjadi sulit. Sehingga diperlukan sebuah sistem yang mampu melakukan klasisfikasi sentimen level aspek terhadap objek. Klasifikasi sentimen level aspek dilakukan dengan menggunakan metode deep-learning yaitu Recurrent Neural Network dan juga berdasarkan attention. Penelitian sebelumnya melakukan percobaan dengan menggunakan metode Hierarchical Attention Position-aware network yang berdasarkan pada Bi-GRU mencapai hasil yang sangat baik. Teks yang digunakan sebagai input pelatihan model dan diubah menjadi representasi vector menggunakan metode Word Embedding. Kemudian dilakukan evaluasi performa dari model HAPN. Hasil dari penelitian tugas akhir ini adalah didapatkannya hasil klasifikasi sentimen level aspek pada objek politik yang lebih baik. =============================================================================================================================
The number of Indonesian internet users has increased from year to year. Internet is mostly used to interact on social media. Social media users often express their thoughts or views in social media where one of them is political field. Especially in 2019 where a democratic party takes place in Indonesia, namely the holding of elections. This makes a lot of opinions on political objects emerge. To find out the views or assessments of the public about a political object, sentiment analysis can be used. Generally there are two kinds of sentiments or opinions written, namely positive sentiment and negative sentiment. But it should also be noted that in one sentence opinion can contain various sentiments. This is because a political object can have various aspects which are also given their own views by the author. The large number of opinions that are not in accordance with the standard rules will make the conclusion of the sentiment level aspect of the object becomes difficult. So we need a system that capable of classifying sentiment level aspects of objects. Aspect level sentiment classification is done by using deep-learning methods namely Recurrent Neural Network and also based on attention. Previous studies conducted experiments using the Hierarchical Attention Position-aware network (HAPN) method based on Bi-GRU achieved very good results. The text is used as an input training model and is converted to a vector representation using the Word Embedding method. Then evaluate the performance of the HAPN model. The results of this thesis research is to obtain better results from the aspect level sentiment classification on political objects
Expert system for predicting the early pregnancy with disorders using artificial neural network
No full textPregnancy is an important moment of growth of the human being. In many case women do not know that she is being pregnant, this is one of the causes of miscarriage. For healthy pregnancy also need to be guarded by knowing abnormalities early in pregnancy. There are several early pregnancy disorder among others hyperemesis gravidarum, pre-eclampsia and eclampsia, hydatidiform mole, and ectopic pregnancy. In this research, we propose an expert system using Artificial Neural Network (ANN) and Back Propagation algorithm for predicting the pregnancy with disorders early. We used 172 medical records of patient with 17 input parameters and 5 output classes, among others normal early pregnancy, and 4 classes for pregnancy disorders. The experiment with training and testing process showed that ANN could be applied to predict the disorders pregnancy with percentage of accuracy around 78,248%. The percentage is got by 0,1 of learning rate value, 17 of neuron input layers, 50 of neuron hidden layers, 5 of neuron output layers, and 0,01 of error value
