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All Journal Jurnal Manajemen Dayasaing Jurnal Informatika Global Journal of Computer System and Informatics (JoSYC) Wahana Islamika: Jurnal Studi Keislaman
Amin Mustofa, Amin
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Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences

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KEPUASAN PASIEN RAWAT INAP DAN RAWAT JALAN TERHADAP PELAYANAN GIZI PASIEN DIET DIABETES MELLITUS Anggrianni, Silvia; Adji, Iwan Setiadi; Mustofa, Amin; Wajdi, M. Farid
Jurnal Manajemen Dayasaing Vol 19, No 1 (2017): Jurnal Manajemen Daya Saing
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/dayasaing.v19i1.5110

Abstract

Penelitian ini bertujuan untuk mengetahui dan mengevaluasi pengaruh: 1) kinerja tenagakesehatan terhadap kepuasan pasien diabetes mellitus. 2) kepatuhan ketepatan jadwalmakan terhadap kepuasan pasien diabetes mellitus. 3) kepatuhan jenis makanan terhadapkepuasan pasien diabetes mellitus. Data yang digunakan adalah data primer yangdiperoleh dari jawaban 100 orang responden dengan metode accidental sampling. Alatanalisis data menggunakan analisis regresi linier berganda. Hasil pengujian instrumenmenyimpulkan bahwa semua variabel valid dan reliabel sebagai alat pengumpul data.Dari hasil analisis data didapatkan bahwa: 1) Ada pengaruh kinerja tenaga kesehatanterhadap kepuasan pasien diabetes mellitus. 2) Tidak ada pengaruh kepatuhan ketepatanjadwal makan terhadap kepuasan pasien diabetes mellitus. 3) Tidak ada pengaruhkepatuhan jenis makanan terhadap kepuasan pasien diabetes mellitus.
PENGARUH MOTIVASI, BUDAYA ORGANISASI DAN KOMITMEN ORGANISASI TERHADAP KINERJA PERAWAT DI RSUD DR. MOEWARDI SURAKARTA Efliani, Destria; Mustofa, Amin; Mardalis, Ahmad
Jurnal Manajemen Dayasaing Vol 17, No 1 (2015): Jurnal Manajemen Daya Saing
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/dayasaing.v17i1.2269

Abstract

Providing health care to patients, hospitals greatly relies on the presence of a nurse. This makes the nurse as a reliable resource as the spearhead of hospital services to patients. Each activity hospitals, nurses also always had an important role. The nurses performance is one indicator of performance hospital as a service industry that always rests on the human resources of competence. Purpose of this research to determine the effect of motivation, organizational culture and organizational commitment to the nurses of performance at the Dr. Moewardi General Hospital in Surakarta. The research method of multiple linear regression with simple random sampling technique. The population is a nurse in the Emergency Ward, Mawar Ward I, II and Melati Ward I, II , III, at Dr. Moewardi General Hospital in Surakarta as many as 100 people. There was effect motivation, organizational culture and commitment organizational to the nurses of performance at Dr. Moewardi General Hospital in Surakarta with P-value of 0.001 and r of 0.52.
Perbandingan Metode Deep Learning dengan Model LSTM dan GRU untuk Prediksi Perubahan Iklim Mustofa, Amin; Setiawan, Hendra
Journal of Computer System and Informatics (JoSYC) Vol 5 No 4 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i4.5671

Abstract

Climate plays a critical role in determining the quality of life in Indonesia, which demands in-depth understanding through the Koppen climate classification and the latest technology. From agriculture to urban infrastructure, public health, to ecosystem sustainability, every aspect of our lives is affected by climate conditions. Deep Learning methods such as Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) are used to predict time series data because of their adaptive ability in learning complex data patterns. The LSTM and GRU models were tested with 2010-2021 data using batch_size 64, epochs 150, optimizer adam, and showed high accuracy (<10%). LSTM recorded MAPE: Rainfall 5.50%, Humidity 7.60%, Temperature 4.36%, Sunlight 8.29%. GRU recorded MAPE: Rainfall 5.01%, Humidity 6.86%, Temperature 4.35%, Sunlight 8.28%. Predictions for 2028 show that the Special Region of Yogyakarta has a Tropical Monsoon (Am), Tropical Savannah (As) and Tropical Rain Forest (Af) climate. These climate changes have significant impacts: increased rainfall increases the risk of flooding, threatening infrastructure and lives, while the As climate reduces agricultural productivity and increases food insecurity. Changes in rainfall and temperature affect people's health, with high humidity increasing the risk of tropical diseases and high temperatures causing heat stress. Climate change in the Am type increases the risk of floods and landslides, while in the Af type it threatens tropical rainforest ecosystems.
TINJAUAN MAQASHID ASY-SYARI’AH TERHADAP PERCERAIAN KARENA ALASAN EKONOMI Wibawa, Iskandar; Mustofa, Amin
Wahana Islamika: Jurnal Studi Keislaman Vol. 10 No. 2 (2024): Wahana Islamika: Jurnal Studi Keislaman
Publisher : STAI Syubbanul Wathon Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61136/y3807r09

Abstract

Fenomena perceraian karena alasan ekonomi menempati angka yang melambung tinggi dari tahun 2021 hingga sekarang. Kasus perceraian ini terjadi tidak hanya pada satu wilayah saja, melainkan di berbagai wilayah di Indonesia. Hal ini membutuhkan solusi yang tepat guna, karena lokus rusaknya hifz al-mal akan merembet ke lokus yang lainnya. Dalam konteks ini, maqashid asy-syari’ah Jasser Auda memberikan solusi yang patut untuk diperhitungkan. Pemikiran maqashid Jasser Auda menawarkan paradigma dalam memahami hukum Islam. Pendekatannya yang sistemik, fleksibel, universal dan berbasis nilai membuka peluang bagi syari'ah untuk beradaptasi dengan perubahan zaman, tanpa kehilangan nilai-nilai fundamentalnya. Dalam isu perceraian akibat faktor ekonomi mendorong solusi berbasis maqashid yang tidak hanya menyelesaikan konflik hukum, tetapi juga memberdayakan keluarga secara sosial dan ekonomi. Untuk menanggulangi fenomena perceraian karena faktor ekonomi, bukan tanggung jawab individu semata, melainkan membutuhkan campur tangan dan kolaborasi dari berbagai pihak. Mulai dari peningkatan pendidikan, hukum yang memihak, pembekalan hard skill dan soft skill bagi keluarga, dan dukungan psikososial. 
Electricity Energy Demand in Banjarnegara District for the Year 2021-2030 Using Linear Regression Method and Leap Software Mustofa, Amin; Setiawan, Hendra
Jurnal Ilmiah Informatika Global Vol. 14 No. 3
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i3.3436

Abstract

Electricity demand is expected to increase from year to year. Central Java's electricity demand in 2013 reached 18.205 GWh with a total of 8.092.964 customers. This energy demand has increased in 2018 to 22.945 GWh with a total of 10.011.388 customers. Continuous use of electricity, both directly and indirectly, will also affect economic needs and people's welfare. It is estimated that electricity sales will continue to increase in line with the growth of customers who will also continue to increase. In predicting the need for electrical energy, various forecasting methods are commonly used to predict the need for electrical energy, such as the Regression Method, Time Series Method, Causal Method, Neural Network Method, and Dynamic System Analysis Method. In predicting the need for electrical energy there are advantages and disadvantages of the forecasting method. Based on the availability of data, this research analyzes forecasting the demand for electrical energy in Banjarnegara district using the regression and time series method which is applied using LEAP software. The results show that the total demand for electrical energy using the regression method in 2030 will reach 50.616 GWh while the LEAP software in 2030 will be 59.677 GWh.
Co-Authors Adji, Iwan Setiadi Ahmad Mardalis, Ahmad Anggrianni, Silvia Destria Efliani Hendra Setiawan M. Farid Wajdi, M. Farid Wibawa, Iskandar