30 research outputs found
EFEKTIVITAS PENERAPAN SOCIAL EMOTIONAL LEARNING PADA PEMBENTUKAN RASA EMPATI PESERTA DIDIK DI MI RAHMANIA ISLAMIC SCHOOL
Full text linkThis research is motivated by the development of the times or 21st century learning with the development of technology which causes a lack of concern for the surrounding environment. So that students at this time still cannot form good characters, especially in empathizing. Based on pre-research, the author is interested in the existence of Social Emotional Learning at MI Rahmania Islamic School. This study aims to determine the application and effectiveness of Social Emotional Learning on the formation of empathy for students at MI Rahmania Islamic School. This research uses descriptive qualitative research. The data collection technique is by using observation, interview, and documentation methods. And data analysis techniques are carried out through data collection, data reduction, data presentation, and data verification. The results of this study indicate that the application of Social Emotional Learning in the formation of empathy for students at MI Rahmania Islamic School shows good planning, implementation, and evaluation. The formation of empathy for grade 5 students at MI Rahmania Islamic School in the cognitive aspect has been formed and seen significantly based on the results of the initial and final observation assessments on the perspective taking and fantasy components. This shows that Social Emotional Learning has been successful and quite effective in providing changes in the formation of learners' empathy
Pemodelan Jumlah Kasus Kusta di Kabupaten Mojokerto dan Kabupaten Jombang Tahun 2019 Menggunakan Regresi Zero-Inflated Poisson Inverse Gaussian
Full text linkKusta atau lepra adalah penyakit yang menyerang berbagai bagian tubuh diantaranya saraf dan kulit yang disebabkan oleh infeksi bakteri Mycobacterium leprae. Jawa Timur merupakan provinsi dengan jumlah penderita kusta tertinggi di Indonesia hingga tahun 2019 sebanyak 3.306 kasus. Stigma negatif masyarakat terhadap penderita kusta menyebabkan munculnya perkampungan kusta di dusun Sumberglagah, Kabupaten Mojokerto. Selain adanya kampung kusta, pada Kabupaten Mojokerto juga terdapat rumah sakit kusta terbesar di Jawa Timur yang menjadi pusat pengobatan kusta baik di Kabupaten Mojokerto maupun di daerah sekitarnya seperti Kabupaten Jombang. Penelitian ini menggunakan data jumlah kasus kusta di Kabupaten Mojokerto dan Kabupaten Jombang tahun 2019 sebagai variabel respon dan enam variabel lainnya sebagai variabel prediktor. Data jumlah kasus kusta tersebut memiliki proporsi nilai nol sebesar 30,77%, lalu nilai mean sebesar 2,179 serta varians sebesar 6,625. Hal ini mengindikasikan bahwa adanya extra zeros serta terdapat pelanggaran asumsi equidispersi. Regresi Zero Inflated-Poisson Inverse Gaussian (ZIPIG) merupakan metode pengembangan regresi yang mampu menangani overdispersi serta extra zeros pada variabel respon data observasi. Faktor yang berpengaruh signifikan terhadap jumlah kasus kusta berdasarkan hasil pemodelan regresi ZIPIG yaitu persentase pelayanan kesehatan untuk penduduk usia lanjut (X6).
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Leprosy is a disease that attacks various parts of the body, including the nerves and skin, which is caused by infection of Mycobacterium leprae bacteria. East Java is the province with the highest number of leprosy sufferers in Indonesia until 2019 with 3,306 cases. Society’s negative stigma towards people with leprosy has led to the emergence of a leprosy village in Sumberglagah village, Mojokerto Regency. In addition, there is the largest leprosy hospital in East Java which is located in Mojokerto Regency and becomes leprosy center treatment both in Mojokerto Regency and also in surrounding areas such as Jombang Regency. This study uses data of the number of leprosy cases in Mojokerto and Jombang districts in 2019 as response variables and six other variables as prediktor variables. Zero Inflated-Poisson Inverse Gaussian Regression (ZIPIG) is a regression development method that is able to handle overdispersion and extra zeros on the response variable of the observation data. The number of leprosy cases data has a proportion of zeros value namely 30,77%, then the mean value is 2,179 and the variance is 6.625. This indicates that there are extra zeros and there is a violation of the equidispersion assumption. The factor that significantly influences the number of leprosy cases based on the results of ZIPIG regression modeling is percentage of health services for the elderly population (X6)
Penaksiran Parameter dan Pengujian Hipotesis pada Model Regresi Bivariate Zero-Inflated Negative Binomial
No full textModel statistika yang dapat digunakan untuk mengatasi under/overdispersi dan excess zero secara bersamaan pada data cacahan diantaranya adalah Bivariate Zero-Inflated Negative Binomial Regression (BZINBR). Model BZINBR memiliki kelebihan yaitu tidak mensyaratkan nilai varians yang sama dengan nilai rata-rata pada variabel respon, serta terdapat parameter dispersi yang berguna untuk menggambarkan variasi dari data. Model BZINBR dapat diterapkan pada data cacahan yang terdiri atas dua variabel respon. Penelitian ini berfokus pada penaksiran parameter model BZINBR tipe II menggunakan metode Maximum Likelihood Estimation (MLE) dengan iterasi numerik Berndt–Hall–Hall–Hausman (BHHH) serta pengujian hipotesis secara serentak dan parsial dengan menggunakan Maximum Likelihood Ratio Test (MLRT). Model BZINBR selanjutnya dikembangkan dan diaplikasikan untuk studi kasus pada data jumlah kematian ibu hamil dan jumlah kematian ibu nifas di Karesidenan Pekalongan Provinsi Jawa Tengah tahun 2017. Berdasarkan data diketahui bahwa persentase nilai nol pada data kematian ibu hamil yaitu sebesar 74,73% dan pada data kematian ibu nifas yaitu sebesar 65,93%. Persentase nilai nol yang berlebih dapat mengindikasikan adanya extra zeros serta terdapat pelanggaran asumsi equidispersi yaitu under/overdispersi. Hasil penelitian menunjukkan bahwa pemodelan BZINBR terbaik yaitu pemodelan dengan melibatkan variabel exposure. Selanjutnya melalui pengaplikasian model BZINBR terbaik didapatkan hasil bahwa seluruh variabel prediktor berpengaruh signifikan terhadap jumlah kematian ibu hamil dan jumlah kematian ibu nifas, selain itu diketahui pula parameter dispersi pada model BZINBR tipe II mampu menangani adanya overdispersi pada data jumlah kematian ibu hamil dan jumlah kematian ibu nifas di Karesidenan Pekalongan Provinsi Jawa Tengah.
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The statistics model that can be used to overcome under/overdispersion and excess zero simultaneously in count data is Bivariate Zero-Inflated Negative Binomial Regression (BZINBR). BZINBR model has the advantages that it does not require the same variance value as the average value of the response variables, and there is dispersion parameter to describe the variation of the data. BZINBR model can be applied to count data that consist of two response variables. This study focuses on the parameters estimation of the BZINBR type II model using the Maximum Likelihood Estimation (MLE) method with Berndt–Hall–Hall–Hausman (BHHH) numerical iterations and also simultaneous and partial hypothesis testing using the Maximum Likelihood Ratio Test (MLRT). The BZINBR model is then developed and applied to case studies on data about the number of pregnant women deaths and the number of postpartum maternal deaths in the Pekalongan Residency of Central Java Province in 2017. Based on the data,it is known that the percentage of zero values in the data about pregnant women deaths is 74.73% and in postpartum maternal deaths is 65.93%. Excess percentage of zeros can indicate extra zeros and there is a violation of the equidispersion assumption, namely under/overdispersion. The results showed that the best BZINBR modeling is the model with exposure variables. Furthermore, through the application of the best BZINBR model, it is found that all predictor variables has significant effects on the number of pregnant women deaths and the number of postpartum maternal deaths. In addition, it is also known that the dispersion parameter in the BZINBR type II model is able to handle overdispersion in data about the number of pregnant women deaths and the number of postpartum maternal deaths in the Pekalongan Residency, Central Java Province
PENERAPAN PROFIT AND LOSS SHARING DALAM PEMBIAYAAN MUDHARABAH DAN MUSYARAKAH (STUDI KASUS PADA BPRS RAHMANIA DANA SEJAHTERA)
Full text linkABSTRACTThis study aims to knowing the application of profit and loss sharing which is applied by BPRS Rahmania Dana Sejahtera and to find out how the Statement of Financial Accounting Standard (PSAK) No. 105 and 106 about mudharabah and musyarakah. The research method used in this study is descriptive qualitative, with primary data source. The author collected the data by interviewing the admin of the financing divison of BPRS Rahmania Dana Sejahtera. The result of this study shows that the implementation of profit and loss sharing in mudharabah financing determined based on an agreement between BPRS Rahmania Dana Sejahtera and customers considering the level of profit shared to the average revenue. Based on the resul, the percentage of profit and loss sharing will be determinated. Determination of profit and loss sharing on musyarakah financing is determined from the level of profit and the amount financing required. BPRS Rahmania Dana Sejahtera has applied and enacted PSAK 105 (mudharabah) and PSAK 106 (musyarakah), Fatwa of National Sharia Council of Indonesia No.07/DSN-MUI/IV/2000 and No.08/DSN-MUI/IV/2000.Keyword: Profit and Loss Sharing, Mudharabah, Musyarakah, Sharia BankABSTRAKPenelitian ini bertujuan untuk mengetahui penerapan profit and loss sharing yang diterapkan oleh BPRS Rahmania Dana Sejahtera dan untuk mengetahui bagaimana PSAK 105 dan 106 tentang mudharabah dan musyarakah. Metode penelitian yang digunakan dalam penelitian ini adalah penelitian kualitatif deskriptif jenis data yang digunakan adalah data primer. Pengumpulan data yang digunakan oleh penulis adalah dengan metode wawancara terhadap admin divisi pembiayaan BPRS Rahmania Dana Sejahtera. Hasil penelitian ini menunjukkan bahwa penerapan profit and loss sharing pada pembiayaan mudharabah ditentukan berdasarkan kesepakatan antara BPRS Rahmania Dana Sejahtera dan nasabah dengan mempertimbangkan tingkat keuntungan yang dibagikan dengan pendapatan rata-rata. Berdasarkan hasil tersebut ditetapkan persentase profit and loss sharing. Penentuan profit and loss sharing pada pembiayaan musyarakah ditentukan dari tingkat keuntungan dan besarnya pembiayaan yang dibutuhkan nasabah. BPRS Rahmania Dana Sejahterasecara keseluruhan sudah menerapkan dan memberlakukan PSAK 105 (mudharabah) dan PSAK 106 (musyarakah), Fatwa Dewan Syariah Nasional Majelis Ulama Indonesia No.07/DSN-MUI/IV/2000 dan No.08/DSN-MUI/IV/2000.Kata Kunci: Profit and Loss Sharing, Mudharabah, Musyarakah, Bank Syaria
Manajemen investasi dan portofolio
No full textManajemen investasi adalah proses perencanaan, pengelolaan, dan pengalokasian dana atau aset ke dalam berbagai instrumen investasi untuk mencapai tujuan keuangan tertentu. Tujuan utama dari investasi adalah untuk mendapatkan keuntungan yang optimal dengan mempertimbangkan risiko yang ada. Investasi adalah komitmen atas sejumlah dana atau sumber daya lainnya yang dilakukan pada saat ini, dengan tujuan memperoleh sejumlah keuntungan di masa datang
Comparison of Lexicon-Based Methods and Bidirectional Encoder Representations for Transformers Models in Sentiment Analysis of Government Debt Market Movements
Full text linkThe State Budget of Indonesia (APBN) is the main tool for implementing fiscal policies and serves as a budgeting guideline for development execution in Indonesia. One of the funding sources in budget financing is Debt Financing, which consists of Government Securities (SBN) issuance and Loans. Overall, SUN contributes IDR 5,824.34 trillion, highlighting its significant proportion in debt financing. Understanding public sentiment toward SUN is essential in developing effective government policies. This research conducts sentiment analysis on tweets from the social media X over the past 7.75 years to assess public perception and propose strategic recommendations. The aim of this research is to compare the BERT model and the Lexicon-Based method to determine which achieves the highest accuracy in sentiment analysis. The findings can help the government develop strategies for issuing SUN, especially in improving public involvement and investor trust. This research method is based on a deep learning pre-trained Bidirectional Encoder Representations from Transformers (BERT) model, specifically IndoBERT, with fine-tuning, and a Lexicon-Based approach utilizing the InSet lexicon. The results of this research are as follows: on the overall tweet dataset, the BERT model with optimal hyperparameters outperformed the Lexicon-Based method, achieving an accuracy of 70.28% compared to 55.77%. Similarly, on an annual basis, BERT exhibited higher accuracy than the Lexicon-Based method, except in 2021. Public sentiment on SUN in social media X is categorized as 49% positive, 30% neutral, and 21% negative. These findings indicate a generally favorable perception of SUN but also highlight areas for improvement in public communication. Overall, the BERT model demonstrates superior performance over the Lexicon-Based method. Considering the opportunities available, the government could leverage social media through Key Opinion Leaders and enhance transparency in explaining policies such as Tapera. This approach could maximize public participation in investing in SUN in Indonesia
IDENTIFIKASI PENANGANAN MUATAN LPG MENGGUNAKAN RELIQUEFIED SYSTEM DI KAPAL MT. GAS WIDURI
Full text linkABSTRACT
Mitha Rahmania Pratiwi, 2018, 5145127.N, “Identification cargo handling of LPG utilized reliquefied system on MT. Gas Widuri”, thesis Nautical Study Program, Diploma IV Program, Merchant Marine Polytechnic Semarang, Supervisor I: Dr. Capt. M Suwiyadi, S. Pd., M.Pd., M.Mar. Supervisor II: Sri Murdiwati, S. Sos, M.Si.
As one source of reliable foreign exchange the result is export oil and natural gas. Thus, smooth the implementation of the discharge operation can affect productivity ships in function as a means of transport. Therefore author’s want to know how to identification cargo handling of LPG, and find solutions of obstacles occurs.
The methodology which I used in my observation is qualitative and descriptive method. With the data analysis are fishbone and fault tree, to determine the cause of the problems and find solutions.
In this research terms of collecting data, through observation, interview, and documentation of researchers above a ship during the period on january 2018 until july 2018. Then were analysed into a discovery that should be given the solution of the problem and became a research observation can be useful for those who read it.
The research results show: traits and characteristics of LPG contain, knowing how the way to identification cargo handling use reliquefied system, knows all that must be considered during their work above the ship with LPG cargo, knowing how the way to handling this cargo contain so well, the obstacle that find during, and efforts must be done good between teminals and ships or ships and mother ship .
In the end of the research, the author conclusions and suggestions that can be used as a reference in the handling of the LPG cargo. Advice of the author is improving the awareness of the self for the entire crew a vessel that figure out the characteristics of the cargo and their environment work is important. So that events on a voyage and the cargo operations of a ship are going good condition and the obstacles occurs can try to get it repaired.
Keyword: Identification cargo handling of LP
RANCANG BANGUN ALAT DENGAR JARAK JAUH MENGGUNAKAN MULTI STAGE AMPLIFIER DAN LOW PASS FILTER (MULTI STAGE AMPLIFIER)
Full text linkThe title of the final report title is " The Design Of Hearing Device Of Long Distance By Using Multi Stage Amplifier And Low Pass Filter (Multi Stage Amplifier)". In the final report, the author aims to study the workings of the operational amplifier circuit and amplifier class B (Push Pull) on the circuit this hearing devices. In designing this tool, used some circuits that regulator circuit, pre-amplifiers, filters, and amplifiers class B (push-pull). The first most important stage in the design process is to make the block diagram of the circuit, making the circuit paths, and choose the components that fit the needs and then get the results and discussion. This tool requires an input voltage of 14.4 volts, then a small microphone captures audio frequency signals and transform them into electrical signals, entered into a series of pre-amplifier IC LM741 reinforced with two levels, further strengthened by a string of class B amplifier as voltage amplifier, then in filter by filter circuit LPF order to four, the final amplifier and the output of the audio output (sound) with a frequency range of 1 Hz - 1 KHz.
Key word : Op-amp IC LM 741, amplifier push pull , pre-amplifier, LPF
