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All Journal Jurnal Publikasi Ilmu Komputer dan Multimedia Jurnal Dharma Indonesia The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Umi Sa’adah
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Computer Science & IT Earth & Planetary Sciences Other

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RANCANG BANGUN SISTEM ADMINISTRASI KEPENDUDUKAN DI DESA KARANGUDI, NGRAMPAL, KABUPETEN SRAGEN Agus Sujarwadi; Umi Sa’adah
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol 1 No 1 (2022): januari : Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (848.258 KB) | DOI: 10.55606/jupikom.v1i1.264

Abstract

Karangudi Village Hall Office is an agency that does the logging process of the population especially in the process of making the petition for Resident Sign Cards (KTP), family card (KK), Birth Certificate, Certificate of death, the Residents come and go. Certificate processing in Karangudi Village already runs Hall Offices still using paper form completion as well as long time processing cover letters about 30 minutes and must be lined up with the other another activities, report the results of the examination of the processing of the population to generate reports of residents came, residents born, residents moved in, people die, a recapitulation of the population each month can not be done at any time. The methods where used to design system observation, interviewing, documentation, libraries. The design of the system is described by using the Context Diagram, Data Flow Diagram (DAD), Entity Relation Diagram (ERD) and Tiered Diagram. The system is built to produce population administration system application program in the village Karangudi , district Ngrampal , Sragen district in order for data processing much better population and maximum thus simplifying the process and the report can provide information on population.
Upaya Mengatasi bahaya Pernikahan Dini dan Kenakalan Remaja di Desa Gunung, Kecamatan Simo, Boyolali Yanitama, Arka; Rafael Eben Haezer Ginting; Tanti Liana Dewi; Umi Sa’adah; Charles Sahalatua Pangaribuan
Jurnal Dharma Indonesia Vol. 2 No. 2 (2024): Jurnal Dharma Indonesia
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jdi.v2i2.4434

Abstract

Early marriage and juvenile delinquency are two phenomena that often traverse different paths but have the potential to cast a dark shadow on the social development of society. Early marriage and juvenile delinquency are not simply social phenomena that can be ignored; both haunt the future of the younger generation and place a heavy burden on the well-being of society as a whole. In this article, we will explore in depth the dangers of early marriage and juvenile delinquency, uncover the roots of the problem, and detail the negative impacts on individual and societal development. In this community activity, the UNNES GIAT 6 KKN Team and the Gunung Village Government collaborated to carry out an outreach with the theme "The Dangers of Early Marriage and Juvenile Delinquency" which was held on Sunday 26 November 2023 at the courtyard of the Gunung Village Hall. In this activity several methods were applied, namely brain storming, lectures by presenters or resource persons, discussions with participants, and quizzes with prizes held by KKN students. Religious leaders have an important role in preventing early marriage and juvenile delinquency. In dealing with the phenomenon of early marriage and juvenile delinquency, religious leaders in Gunung Village can provide moral guidance, religious values and educational approaches to teenagers to minimize risks. Religious and ethical education, religious leaders can play a role in protecting teenagers from the dangers posed by early marriage and juvenile delinquency, so the support of religious leaders is needed. Some of the roles of religious leaders in dealing with the dangers of early marriage and juvenile delinquency are moral and ethical approaches, spiritual guidance, religious and ethical education, prevention of early marriage, women's empowerment.
SPATIAL ANALYSIS OF QUANTITATIVE PRECIPITATION FORECAST ACCURACY BASED ON STRUCTURE AMPLITUDE LOCATION (SAL) TECHNIQUE Abdullah Ali; Achmad Rifani; Supriatna; Yunus Subagyo Swarinoto; Umi Sa’adah
International Journal of Remote Sensing and Earth Sciences Vol. 20 No. 2 (2023)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3854

Abstract

Quantitative Precipitation Forecast (QPF) is the final product of a short-term forecasting algorithm (nowcasting) based on weather radar data which is widely used in hydrometeorological aspects. The calculation of the accuracy value using point data on a rainfall gauge often causes a double penalty problem because the QPF prediction results are in the form of spatial objects. This study aims to apply object-based spatial verification in analyzing the accuracy of QPF based on the Short Term Ensemble Prediction System (STEPS) algorithm using the SAL technique. The verification process is carried out by calculating the index value of the structure component (S), amplitude (A), and location (L) in the QPF prediction results based on the results of weather radar observations. The index values for components S and A have a range of -2 to 2, and 0 to 1 for component L with a perfect value of 0. The case study used is the occurrence of heavy rains that caused flooding in Bogor Regency in 2020. SAL verification results from 26 case studies used shows the average value of the components S, A, and L, respectively 0.51, 0.38, and 0.21. As many as 75% of all case studies have S and L component values less than 0.5 which indicate the structure and location of the QPF prediction object is close to the structure and location of the object of observation. A positive value in component A indicates that the QPF prediction results based on the STEPS algorithm tend to be overestimated but on a low scale, namely 0.38 out of 2.
RADAR-BASED STOCHASTIC PRECIPITATION NOWCASTING USING THE SHORT-TERM ENSEMBLE PREDICTION SYSTEM (STEPS) (CASE STUDY: PANGKALAN BUN WEATHER RADAR) Abdullah Ali; Supriatna; Umi Sa’adah
International Journal of Remote Sensing and Earth Sciences Vol. 18 No. 1 (2021)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2021.v18.a3527

Abstract

Nowcasting, or the short-term forecasting of precipitation, is urgently needed to support the mitigation circle in hydrometeorological disasters. Pangkalan Bun weather radar is single-polarization radar with a 200 km maximum range and which runs 10 elevation angles in 10 minutes with a 250 meters spatial resolution. There is no terrain blocking around the covered area. The Short-Term Ensemble Prediction System (STEPS) is one of many algorithms that is used to generate precipitation nowcasting, and is already in operational use. STEPS has the advantage of producing ensemble nowcasts, by which nowcast uncertainties can be statistically quantified. This research aims to apply STEPS to generate stochastic nowcasting in Pangkalan Bun weather radar and to analyze its advantages and weaknesses. Accuracy is measured by counting the possibility of detection and false alarms under the 5 dBZ threshold and plotting them in a relative operating characteristic (ROC) curve. The observed frequency and forecast probability is represented by a reliability diagram to evaluate nowcast reliability and sharpness. Qualitative analysis of the results showed that the STEPS ensemble produces smoothed reflectivity fields that cannot capture extreme values in an observed quasi-linear convective system (QLCS), but that the algorithm achieves good accuracy under the threshold used, up to 40 minutes lead time. The ROC shows a curved upper left-hand corner, and the reliability diagram is an almost perfect nowcast diagonal line.
PRELIMINARY STUDY OF A RADIO FREQUENCY INTERFERENCE FILTER FOR NON-POLARIMETRIC C-BAND WEATHER RADAR IN INDONESIA (CASE STUDY: TANGERANG WEATHER RADAR) Abdullah Ali; Iddam Hairuly Umam; Hidde Leijnse; Umi Sa’adah
International Journal of Remote Sensing and Earth Sciences Vol. 18 No. 2 (2021)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2021.v18.a3727

Abstract

C-Band weather radar that operates at a frequency of 5 GHz is very vulnerable to radio frequency interference (RFI) because it is located on a free used frequency. RFI can cause image misinterpretation and precipitation echo distortion. The new allocation for free spectrum recommended by the World Radio Conference 2003 and weather radar frequency protection in Indonesia controlled by the Balai Monitoring Spektrum Frekuensi (BALMON) have not provided permanent protection against weather radar RFI. Several RFI filter methods have been developed for polarimetric radars, but there have been no studies related to RFI filters on non-polarimetric radars in Indonesia. This research aims to conduct an initial study of RFI filters on such radars. Four methods were applied in the initial study. The Himawari 8 cloud mask was used to eliminate interference echo based on VS, IR, and I2 channels, while the nature of false echo interference that does not have a radial velocity value was used as the basis for the application of the Doppler velocity filter. Another characteristic in the form of consistent echo interference up to the maximum range was used as the basis for applying a beam filling analysis filter with reflectivity thresholds of 5 dBZ and 10 dBZ, with beam filling of more than 75%. Finally, supervised learning Random Forest (RF) was also used to identify interference echo based on the characteristics of the sampling results on reflectivity, radial velocity, and spectral width data. The results show that the beam filling analysis method with a threshold of 5 dBZ provides the best RFI filter without eliminating echo precipitation.
Co-Authors Abdullah Ali Achmad Rifani Agus Sujarwadi Charles Sahalatua Pangaribuan Hidde Leijnse Iddam Hairuly Umam Rafael Eben Haezer Ginting Supriatna Tanti Liana Dewi Yanitama, Arka Yunus Subagyo Swarinoto