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Annual and Interannual Rainfall Variability in Indonesia Using Empirical Orthogonal Function (EOF) Analysis and Its Response to Ocean-Atmosphere Dynamics Ariska, Melly; Suhadi, Suhadi; Supari, Supari; Irfan, Muhammad; Iskandar, Iskhaq
Jurnal Ilmu Fisika Vol 16 No 2 (2024): September 2024
Publisher : Jurusan Fisika FMIPA Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.16.2.151-165.2024

We investigate rainfall variability in Indonesia using the Empirical Orthogonal Function (EOF) method. The analysis starts by taking three main modes of EOF results, namely EOF1, EOF2, and EOF3. The EOF1 region is southern Indonesia, from southern Sumatra to Timor Island, parts of Kalimantan, parts of Sulawesi, and parts of Irian Jaya. The EOF2 region is located in northwestern Indonesia and includes the northern part of Sumatra and the northwestern part of Kalimantan. The EOF3 region covers Maluku. This study aims to analyze the annual and inter-annual variability of rainfall in anticipation of the threat of hydrometeorological disasters. Based on the correlation value of the principal component (PC) with the dipole mode index (DMI) and Niño3.4 index, it has a period similar to El Niño-Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD). Rainfall in Indonesia is very sensitive to sea surface temperature (SST) in the southeastern Indian Ocean and the central Pacific Ocean, which means that rainfall patterns in Indonesia can change significantly if SST in the region changes.

Analisa Mesin Pengering Makanan Food Dehidrator Menggunakan Sensor Thermostat Berbasis Hybrid Pinandita, Satria; Supari, Supari; Saputra, Dian Nova; Al Amin, Anggara Fuad
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 18 No. 1 (2024)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v18n1.2582

The process of drying food is done in the traditional way, by drying it in the hot sun, but the traditional drying method makes the food unhygienic. Several factors can influence the drying results of food ingredients, including temperature and drying time. Using optimal drying temperatures and times can reduce the level of damage caused by the drying process. This research aims to obtain an analysis of a food dehydrator drying machine using a hybrid-based thermostat sensor that can optimally condition the temperature and time factors in the drying process, the hyfood dehydrator machine system uses a dehumidification method, there is a heat recovery mechanism that recycles heat to open new air, thus saving 60-70% of fresh air preheating energy consumption. Hot air moving in the room dries the material. It is known that the test result data was analyzed by calculating the accuracy values, down to the relative distance values. The results of the comparison process are used as validation of the output values produced by the temperature measuring instrument. The measurement results of the Digital Thermostat Sensor are in accordance with the datasheet and have a high level of accuracy. So the Digital Thermostat Sensor measuring instrument can be used as a measurement tool. With an internal fan, thermostat, and time settings on this device, you only need to set the right heat according to the type of food you want to dry. The shelves in the cupboard consist of drying trays that can maximize the drying process

Exploration of Seasonal Dynamics of Tropical Indo-Pacific Ocean during Dry, Wet and Neutral Years in Indonesia using Composite Method Ariska, Melly; Suhanda, Alfin; Suhadi, Suhadi; Supari, Supari; Irfan, Muhammad; Iskandar, Iskhaq
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 14 No. 1 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v14n1.p67-83

Applying rainfall data for each month from Princeton University from January 1948 to December 2016, the impact of the Pacific El Niño-Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD), which is focused in the Indian Ocean, on rainfall in Indonesia was examined. IOD occurrences are significantly correlated with rainfall, as seen by the simultaneous association of seasonal rainfall anomalies during the peak of the rainy season (NDJ) in Indonesia's dry, wet, and neutral years, as well as other climatic indices in both climates. Rainfall has occurred in parts of South Sumatra, Java, South Kalimantan, Nusa Tenggara, Sulawesi, and East Papua. Meanwhile, ENSO events significantly correlate with rainfall in the southern regions of Sumatra, Java, Kalimantan, Sulawesi, and Papua. El Niño is associated with low sea surface temperature anomalies in the Indonesian Sea and southeast Indian Ocean. The low SST anomaly lowers the mean sea surface level (MSL). It reduces the amount of water vapor in the atmosphere, suppressing atmospheric convection in Indonesia and leading to a very sharp decrease in rainfall. Based on the forecasting and exploration of rainfall patterns in Indonesia described in this study, this research can be used as a reference for the government to prepare preventive measures against extreme global climate change events and to predict hydrometeorological disasters in disaster-prone areas.

Pengenalan dan Implementasi Matlab Untuk Siswa SMK Walisongo Semarang Ardina, Elfira Nureza; Erlinasari, Erlinasari; Supari, Supari
Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Vol 8, No 1 (2025): Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstormin
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/japhb.v8i1.8074

Dunia pendidikan dan pekerjaan saling berhubungan terutama dalam sebuah keterampilan pada perangkat lunak. Keterampilan perangkat lunak berupa keterampilan dalam penggunaan software. Beberapa macam software yang sering digunakan dalam pekerjan seperti matlab, autocad, SPSS, dan lain-lainnya. Selain itu software tersebut merupakan software yang populer dan sering digunakan di dunia pekerjaan dan pendidikan. Untuk matlab digunakan untuk membuat sebuah analisa perhitungan dalam bidang telekomunikasi maupun elektronika dan kelistrikan. Matlab ada dua tipe yaitu matlab offline dan online. Untuk matlab offline dengan cara menginstal program matlab di komputer maupun di laptop, sedangkan untuk matlab online dengan cara memasukkan akun matlab secara online di situs matlab. Matlab juga dapat digunakan menggunakan smartphone, karena matlab tersedia di play store yang ada di smartphone. Dari hal tersebut matlab sangat dibutuhkan di dunia pendidikan. Matlab sudah lama digunakan di bidang industri dan pendidikan, tetapi untuk pengenalan dan implementasi matlab di dunia pendidikan belum ada yang memberikan pelajaran matlab. Sekolah SMK Walisongo di Semarang adalah sekolah yang belum mengenalkan matlab ke para siswa dan siswinya. Saat ini sekolah SMK Walisongo di Semarang akan mengenalkan matlab ke para siswa dan siswinya untuk dapat menggunakan matlab tersebut. Pengabdian kepada masyarakat dilaksanakan berupa kegiatan untuk pengenalan dan implementasi matlab bagi siswa di SMK Walisongo Semarang. Tujuan dari pengabdian kepada masyarakat adalah memperkenalkan serta melakukan implementasi kepada siswa dan siswi SMK Walisongo Semarang agar dapat memahami dan mengetahui secara langsung bagaimana menggunakan matlab terutama matlab dalam dunia pekerjaan. Pengenalan dan implementasi matlab memiliki manfaat untuk memberikan pengetahuan kepada siswa dan siswi SMK Walisongo tentang penggunaan matlab baik secara offline maupun online dan memberikan wawasan dalam penggunaan software matlab seperti penggunaan cara menulis script di matlab, selain itu dari kegiatan pengabdian tersebut membuat siswa dan siswi SMK Walisongo Semarang mengetahui variabel dari penggunaan fungsi pada matlab.

Profile of Rainfall Patterns and Extreme Air Temperatures 1981-2020 in the Mosunal Region of Indonesia (Case Study: South Sumatra) Ariska, Melly; Supari, Supari; Irfan, Muhammad; Iskandar, Iskhaq
Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Vol 21, No 1 (2024): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/flux.v21i1.14022

Increasing concentrations of greenhouse gases have led to changes in extreme climate events. This study aims to describe the picture of climate change in the South Sumatra Region during the last 40 years, namely from 1981-2020. Rainfall and extreme temperature data were obtained from BMKG data for South Sumatra Province at the Palembang City Climatology Station (SK Palembang City) and the Sultan Mahmud Badaruddin II Meteorological Station (SM SMB II). Maximum temperature data, minimum temperature and rainfall were obtained based on parameter profiles obtained from BMKG data for South Sumatra Province based on the ETCCDMI provisions. Maximum temperature data, minimum temperature and rainfall are processed with RClimDex software so that temperature and extreme rain index data are obtained. These indices are extreme climate indices consisting of TN90p, TX90p, TNn, TNx,TXx, TXx, TMAXmean, TMINmean, RX1day, RX5day, SDII, CDD and CWD. The results of this study indicate that the trend of air temperature will increase significantly in South Sumatra Province, especially the minimum air temperature, then the precipitation pattern will also increase, especially the accumulation of rainfall for 5 consecutive days. There is an increase in the number of dry days and a decrease in the number of wet days, as well as the higher accumulation of daily rainfall but the wet days are decreasing day by day. This is also increasingly having an impact on climate change in South Sumatra Province which is getting hotter day by day and the smoke disaster due to land and peat fires in South Sumatra Province is increasingly worrying.

Stability of Dielectric Insulation System in GSUT Transformer of Pertamina Geothermal Energy Lahendong: A Diagnostic Approach Based on DFR (Dielectric Frequency Response) Sianipar, Niko Ardiansa; Nurhayati, Titik; Supari, Supari
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 2 (2025): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i2.1703

Generator Step-Up Transformer (GSUT) is a vital component in the power system that serves to raise the voltage level before the transmission process. The operational reliability of the transformer is highly dependent on the condition of the dielectric insulation system which consists of mineral oil and insulating paper. A decrease in the quality of the insulation system can have a significant impact on the performance and operational life of the transformer. This study aims to analyze the results of Dielectric Frequency Response (DFR) testing on the GSUT Unit 6 Transformer at PGE Lahendong to evaluate the moisture content in insulating paper and the conductivity of transformer oil based on the IEC 60422 and IEC 61620 standard references. The test results based on the dissipation factor (DF) graph show that the moisture content in the insulating paper is 0.9% (dry category) and the oil conductivity is 1 fS/m, which indicates that the condition of the insulation system is still good with an estimated remaining operational life of up to 70 years by calculating the ratio between the average operating temperature value of the transformer and its dielectric rate (Dp.t). However, electromagnetic interference or bushing contamination can cause negative dissipation factor (DF) values, leading to invalid measurements. Therefore, DFR testing using the OMICRON DIRANA device proved effective in monitoring the condition of the dielectric insulation system and providing an accurate estimation of the remaining insulation life, as well as supporting the implementation of predictive maintenance strategies in power transformers.

Trend of Rainfall Pattern in Palembang for 20 Years and Link to El-niño Southern Oscillation (ENSO) Ariska, Melly; Putriyani, Fena Siska; Akhsan, Hamdi; Supari, Supari; Irfan, Muhammad; Iskandar, Iskhaq
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 12 No 1 (2023): Jurnal Ilmiah Pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v12i1.15525

One factor that significantly affects rainfall in Indonesia, especially in Palembang City, is the El-Nino Southern Oscillation (ENSO). This study aims to determine how big the correlation is and when the highest correlation occurs between the Nino 3.4 Index and rainfall during the 2001-2020 period. The stages of analysis carried out to carry out this study are as follows: 1) downloading daily rainfall data for 20 years, 2) processing the raw data to make it homogeneous, and 3) correlation analysis to find out when the highest correlation occurs between rainfall and the Nino 3.4 Index. The results show that the highest correlation occurs in September at -0.524, August at -0.481, and October at -0.439. The influence of the Nino 3.4 Index produces a negative relationship. If the Nino 3.4 Index increases, it will affect the maximum temperature at the sea surface so that rainfall will decrease and cause drought. The results obtained can also be used as a prediction or forecast of the inflow of rainfall and the length of the rainy season.

INSTALASI SOLAR HOME SISTEM PEMBANGKIT LISTRIK TENAGA SURYA SEBAGAI SUMBER ENERGI ALTERNATIF di SD IT MTA SURAKARTA Nurhayati, Titik; Supari, Supari; Nugroho, Andi Kurniawan
Jurnal Pengembangan Rekayasa dan Teknologi Vol. 6 No. 1 (2022): Mei (2022)
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/jprt.v18i1.4935

Setiap rumah diharapkan mampu membangkitkan energi alternatif yang dapat dapat digunakan untuk melayani beban sehari-hari. Salah satu cara yang dapat diterapkan adalah setiap rumah memasang Solar Home System (SHS). Instalasi dan perancangan SHS perlu dikenalkan kepada masyarakat umum salahsatunya guru agar memiliki pengetahuan tentang Pembangkit Listrik Tenaga Surya (PLTS). Masyarakat perlu diberi pelatihan bagaimana cara merancang dan menginstalasi SHS di rumah masing-masing. Pelatihan ini akan diberikan kepada Guru SDIT MTA Semanggi sesuai permintaan dari kepala sekolah.Permasalahan yang dihadapi mitra adalah kurangnya pengetahuan Masyarakat terutama Guru SDIT MTA Semanggi tentang (1) Bagaimana proses konversi energi dari energi matahari menjadi energi listrik, (2) Bagaimana energi matahari tersebut bisa dimanfaatkan untuk rumah tangga atau SHS, (3)Bagaimana cara merakit atau menginstal peralatan supaya terbentuk SHS. Solusi yang ditawarkan untuk menyelesaikan permasalahan mitra adalah memberikan pelatihan kepada Guru SDIT MTA Semanggi tentang bagaimana melakukan instalasi SHS PLTS sebagai sumber energi alternatif skala rumah tangga. Pelatihan dilaksanakan dengan waktu selama 3 jam pada Hari Selasa, 12 Oktober 2021Pelatihan diikuti oleh 13 Guru SDIT MTA Semanggi. Hasil pelaksanaan pengabdian terlihat dari hasil pre test dan post test. Hasil pretest menunjukkan bahwa dari 13 SDIT MTA Semanggi yang diberikan tidak ada yang mendapatkan nilai 100. Setelah dilakukan pelatihan, rata-rata menjawab benar sebanyak 10 Guru. Hal ini menunjukkan bahwa pemahaman Guru mengalami peningkatan sebanyak 90%, sehingga dapat diartikan setelah dilakukan pelatihan banyak Guru yang paham tentang SHS PLTS. K

Exploring The Potential Of Artificial Intelligenge And Personalized Services In Transforming The Golf Industry Supari, Supari; Salat, Roy; Wibawa, Tio Anta; Dewi, Nurma Gupita
Citizen : Jurnal Ilmiah Multidisiplin Indonesia Vol. 5 No. 4 (2025): CITIZEN: Jurnal Ilmiah Multidisiplin Indonesia
Publisher : DAS Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53866/jimi.v5i4.938

The golf industry, steeped in tradition and characterized by its unique culture, is currently at a crossroads, facing both unprecedented opportunities and significant challenges as it navigates the integration of Artificial Intelligence (AI) and personalized services. As technology advances, AI is becoming increasingly pivotal in transforming various aspects of golf, from enhancing equipment and training methodologies to optimizing golf course management through data-driven insights and automation. This integration not only improves operational efficiency but also enriches the overall golfing experience for players by tailoring services to meet their individual needs. Meanwhile, personalized services, which range from customized coaching programs to bespoke membership experiences, are gaining traction as a means to boost customer satisfaction and loyalty within the industry. However, the potential of these innovations is tempered by various barriers, including resistance to technological change, privacy concerns, and the need for significant investment in infrastructure. This paper aims to explore the multifaceted role of AI and personalized services in the golf industry, highlighting the opportunities they present for revenue generation and market expansion, while also addressing the challenges that must be overcome to fully realize their benefits. By examining the current landscape, this research provides insights into how the golf industry can adapt and thrive in a rapidly evolving technological environment, ensuring its relevance and sustainability amid changing consumer expectations and competitive pressures.

Annual and Interannual Rainfall Variability in Indonesia Using Empirical Orthogonal Function (EOF) Analysis and Its Response to Ocean-Atmosphere Dynamics Ariska, Melly; Suhadi, Suhadi; Supari, Supari; Irfan, Muhammad; Iskandar, Iskhaq
Jurnal Ilmu Fisika Vol 16 No 2 (2024): September 2024
Publisher : Jurusan Fisika FMIPA Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.16.2.151-165.2024

We investigate rainfall variability in Indonesia using the Empirical Orthogonal Function (EOF) method. The analysis starts by taking three main modes of EOF results, namely EOF1, EOF2, and EOF3. The EOF1 region is southern Indonesia, from southern Sumatra to Timor Island, parts of Kalimantan, parts of Sulawesi, and parts of Irian Jaya. The EOF2 region is located in northwestern Indonesia and includes the northern part of Sumatra and the northwestern part of Kalimantan. The EOF3 region covers Maluku. This study aims to analyze the annual and inter-annual variability of rainfall in anticipation of the threat of hydrometeorological disasters. Based on the correlation value of the principal component (PC) with the dipole mode index (DMI) and Niño3.4 index, it has a period similar to El Niño-Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD). Rainfall in Indonesia is very sensitive to sea surface temperature (SST) in the southeastern Indian Ocean and the central Pacific Ocean, which means that rainfall patterns in Indonesia can change significantly if SST in the region changes.

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