Article Per Year (5 Year)
p-Index From 2021 - 2026
5.599
P-Index
This Author published in this journals
All Journal Jurnal Sains dan Seni ITS Jurnal Statistika Universitas Muhammadiyah Semarang Techno.Com: Jurnal Teknologi Informasi Jurnal Buana Informatika Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Ilmiah Teknik Industri Jurnal Pendidikan Agama Islam Jurnal Fourier Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) Journal of Information Technology and Computer Science JBMP (Jurnal Bisnis, Manajemen dan Perbankan) Desimal: Jurnal Matematika Al-MARSHAD: Jurnal Astronomi Islam dan Ilmu-Ilmu Berkaitan BAREKENG: Jurnal Ilmu Matematika dan Terapan MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jambura Journal of Mathematics MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Journal of Mathematics Education and Science Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Enthusiastic : International Journal of Applied Statistics and Data Science Jurnal Matematika Integratif STATISTIKA International Journal of Computing Science and Applied Mathematics-IJCSAM
Hani Khaulasari
Universitas Islam Negeri Sunan Ampel, Surabaya, Indonesia
Arts Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

Published : 36 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 36 Documents
Search

 1   2   3   4 
Determination of the Beginning of Prayer Time on the Mount Prau Hiking Trail by Applying Spherical Trigonometry Nur Aulia, Shofinatul Wahdah; Hamid, Abdulloh; Yuliati, Dian; Asyhar, Ahmad Hanif; Khaulasari, Hani
Al-Marshad: Jurnal Astronomi Islam dan Ilmu-Ilmu Berkaitan Vol 10, No 1 (2024): Al-Marshad
Publisher : University of Muhammadiyah Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jam.v10i1.18366

Abstract

Determining the beginning of prayer time on the Mount Prau hiking trail is very important for Muslims, especially when performing the five daily prayers. Calculation of the beginning of prayer time is important even though prayers can be performed within a certain time range. This study aims to apply spherical trigonometric calculations and to determine the results of the beginning of prayer time on the Mount Prau hiking trail. This research uses spherical trigonometry hisab method with the required data are latitude of place, longitude of place, solar declination and equation of time. The calculation results show the exact prayer time, such as dawn between 04.24 to 04.29 WIB, zuhur between 11.39 to 11.44 WIB, asar between 15.01 to 15.05 WIB, maghrib between 17.32 to 17.36 WIB and isya between 18.46 to 18.51 WIB. This information is useful for climbers of Mount Prau so that they can carry out worship on time.
Klasifikasi Sebaran Wilayah dengan Risiko Penyakit Mers di Provinsi Jawa Timur dengan Menggunakan Algortima Support Vector Machine (SVM) Wahyudi, Sharenada Norisdita; Hafiyussholeh, Moh.; Susanto, Hugeng; Khaulasari, Hani
Journal of Mathematics Education and Science Vol. 7 No. 2 (2024): Journal of Mathematics Education and Science
Publisher : Universitas Nahdlatul Ulama Sunan Giri Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/james.v7i2.3269

Abstract

Middle East Respiratory Syndrome Coronavirus (MERS-CoV) ialah penyakit saluran pernapasan yang menular melalui virus corona. MERS pertama kali muncul dan terkonfirmasi pada tahun 2012 dengan gejala awal berupa demam, batuk berdahak disertai dengan sesak napas. MERS Merupakan salah satu penyakit mematikan dengan jumlah kasus lebih dari 2600 kasus terkonfirmasi dengan total 935 kematian. Penyakit ini paling banyak terkonfirmasi di Arab Saudi tepatnya di Mekkah, yang mana kota tersebut menjadi pusat terlaksananya ibadah Haji dan Umroh bagi seluruh umat muslim dunia. Jawa Timur merupakan salah satu wilayah dengan jumlah kuota jamaah haji tertinggi di Indonesia yang memiliki potensi tinggi terjadinya penyebaran penyakit MERS-Cov. Oleh karenanya perlu dilakukan suatu usaha mitigasi resiko guna memperkecil potensi terjadinya sebaran penyakit MERS di Indonesia khususnya di Jawa Timur, salah satunya ialah melakukan prediksi sebaran potensi menggunakan algoritma SVM. Hal itu dikarenakan SVM dinilai unggul dalam mengolah data non linear dengan baik karena sudah dilengkapi dengan bantuan fungsi kernel dalam kinerja algortimanya. Data yang digunakan pada penelitian ini adalah data sebaran potensi kasus MERS di Jawa Timur pada tahun 2023 yang didapatkan dari Dinas Kesehatan Provinsi Jawa Timur. Dilakukan beberapa pengujian untuk mendapatkan hasil optimal dengan menggunakan beberapa pembagian proporsi data training:testing, diantaranya 60:40, 65:35, 70:30, 75:25, 80:20, dan didapati hasil pengujian tertinggi terdapat pada proporsi data sebesar 75:25 dengan nilai akurasi 0.9 (90%).
Forecasting Zakat Potential in BAZNAZ East Java Using the ARIMAX Method with Calendar Variation Effects Sari, Lia Puspita; Hamid, Abdulloh; Khaulasari, Hani
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 2 August 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i2.31456

Abstract

Zakat is a Muslim act of worship that is related to wealth and is one of the instruments used in economic development so that it can solve the problem of poverty. According to the Central Statistics AgencyZakat is an Islamic obligation related to wealth distribution and functions as a key instrument in economic development, particularly in alleviating poverty. According to the Central Statistics Agency, East Java had the highest number of poor people in Indonesia in 2023. BAZNAS (Badan Amil Zakat Nasional) plays a strategic role in managing zakat funds to support poverty reduction efforts. Accurate information on zakat potential is crucial for ensuring the effective management and distribution of zakat. This study aims to model, evaluate the accuracy, and forecast the zakat potential at BAZNAS East Java untuk Januari sampai dengan Desember 2024 using the Autoregressive Integrated Moving Average with Exogenous (ARIMAX) Variables method. ARIMAX extends the ARIMA model by incorporating exogenous variables. In this study, the exogenous variables used are a deterministic trend and a Hijri calendar dummy variable representing the month of Ramadan, The results show that the best-performing model is ARIMAX([12],1,1), with a MAPE value of 18%, indicating a reasonably accurate forecast. The zakat potential for the next 12 months is projected to remain relatively stable, with a significant increase of IDR 6,674,988,827.25 expected in April 2024. This spike coincides with the month of Ramadan, when Muslims customarily pay zakat fitrah and zakat mal.
The Effectiveness of Peaceful Education Learning Strategies for Students at Emergency Madrasas Following Natural Disasters in Sidoarjo Abd Rachman Assegaf; Hani Khaulasari; Muhammad Thohir; Amjad Ali; Ratna Pangastuti
Jurnal Pendidikan Agama Islam Vol. 22 No. 1 (2025): Jurnal Pendidikan Agama Islam
Publisher : Yogyakarta: Jurusan Pendidikan Agama Islam Fakultas Ilmu Tarbiyah dan Keguruan UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jpai.v22i1.8369

Abstract

Purpose – This research aims to develop and evaluate learning strategies and curricula focused on risk management education for emergency schools in post-disaster areas. The goal is to support a peaceful learning process that helps students recover from trauma while improving motivation, academic performance, and disaster preparedness. Methods – This research uses the Borg & Gall Research and Development Model to find an appropriate instructional strategy for peace education in post-natural disaster school areas. Data collection was found through documentation, interviews, and observation. Field tests I, II, and III were conducted at Madrasa Ibtidaiyah (Islamic Elementary School) in Sidoarjo, which is close to the mud-flood areas of Lapindo Enterprise. Findings – The results show an improvement in test scores conducted over three cycles in class 3 ICP 1 and ICP 2. Additionally, students were enthusiastic about participating in the learning series. The research was concluded after cycle III as it was deemed effective. The strategy using disaster mitigation questions was effectively implemented in the science class (IPA) of ICP 1, contributing 56.9%, and in the religious class (akidah akhlak) of ICP 2, contributing 75.4%, enhancing student achievement, motivation, awareness, and readiness in disaster mitigation. The peaceful education strategy for disaster mitigation was more effectively applied in akidah akhlak classes. The validation criteria were sufficiently valid and proven effective for emergency madrasa students. Research implications/limitations – This studys implications have proven to be practically useful in handling post-disaster emergency education in madrasa environments in Sidoarjo through the instillation of peaceful education in the learning process of science and Islamic Religious Education. However, this study has limitations regarding the level and number of madrasas studied. Originality/value – The originality of this research is shown from the results of field findings in madrasa in Sidoarjo, with the validity value of the R&D Model Borg and Gall research method. Further research development can be done by expanding the types and levels of madrasas or schools in East Java.
Analysis of Industrial Waste Quality Control Using Generalized Variance and Hotelling’s T2 Control Diagram Methods Hamidah, Isna; Hamid, Abdulloh; Khaulasari, Hani
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 5 Issue 1, April 2025
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol5.iss1.art8

Abstract

Environmental pollution is an unsettling problem for everyone and the ecosystem which can be caused by poorly managed waste originated from the final output of industrial production processed. It can negatively impact the surrounding environment if it is not handled properly. Therefore, the waste must be processed until it meets the predetermined characteristic standards before being disposed of. Among the actions that can be taken is carrying quality control. This study aims to evaluate and characterize the quality of the waste produced. The methods used were the generalized variances and Hotelling’s T2 control charts. The data used for this research was the characteristics of liquid waste from a sugar factory industry, taken from May to September 2023. The quality control results, which were obtained using the generalized Variance control chart, could be statistically controlled after eight improvements. Then, Hotelling’s T2 control chart was successfully controlled after one test. The capability index value obtained was > 1, indicating that the quality control process in liquid waste at the Pesantren Baru sugar factory is capable or controlled.
LONG-SHORT TERM MEMORY (LSTM) FOR PREDICTING VELOCITY AND DIRECTION SEA SURFACE CURRENT ON BALI STRAIT Pramesti, Diah Devi; Novitasari, Dian C Rini; Setiawan, Fajar; Khaulasari, Hani
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 2 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (860.674 KB) | DOI: 10.30598/barekengvol16iss2pp451-462

Abstract

The strategic role of the Bali Strait as a connection between the islands of Java and Bali is growing in line with the increase in the economy and tourism of the two islands. Therefore, it is necessary to have a further understanding of the condition of the waters in the Bali strait, one of which is ocean currents. This study aims to predict future ocean currents based on 30-minute data in the Bali Strait in the range of 16 May 2021 to 9 June 2021 obtained from the Perak II Surabaya Maritime Meteorological Station. In this study, the Long Short Term Memory method was used. The parameters used are hidden layer, batch size, and learn rate drop. Based on the parameters used, the results showed that the smallest MAPE value was 18.64% for U ocean current velocity data and 5.29% for V ocean current velocity data.
ARIMA MODEL OF OUTLIER DETECTION FOR FORECASTING CONSUMER PRICE INDEX (CPI) Imron, M.; Utami, Wika Dianita; Khaulasari, Hani; Armunanto, Firman
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 4 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (427.349 KB) | DOI: 10.30598/barekengvol16iss4pp1259-1270

Abstract

The Consumer Price Index (CPI) is a indicator used by Badan Pusat Statistik (BPS) which describes the average change in the prices paid by urban consumers for a market basket of consumer goods and services in a certain period. The case on Consumer Price Index (CPI) of Probolinggo City, if the Consumer Price Index (CPI) increase then describe inflation occurs and conversely. The Consumer Price Index (CPI) of Probolinggo City increase is not fixed. This study is to forecast the Consumer Price Index (CPI) that the results can be used as one of the considerations in carrying out economic development in the future. Research focused on the data of Consumer Price Index (CPI) of Probolinggo City from January 2014 to April 2022. Methodology implemented in this study is Autoregressive Integrated Moving Average (ARIMA). Result show that ARIMA without an outlier was the best model for predicting Consumer Price Index (CPI) of Probolinggo City for the next 8 months. This model shows the value of MAPE is . The value of forecasting results in each month has decreased and increased not so significantly where in May 2022 the forecasting value was 108,391 then in June 2022 the forecasting value became 108,411 and so on until December 2022 the forecasting results using ARIMA model of 107,845.
COMPARISON OF FORECASTING RICE PRODUCTION IN MAGELANG CITY USING DOUBLE EXPONENTIAL SMOOTHING AND AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) Imron, M.; Khaulasari, Hani; SNM, Diva Ayu; Inayah, Jauharotul; S, Eka Eliyana
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1533-1542

Abstract

Magelang City has experienced a significant decline in the rice production sector, triggering the need for forecasting research as the next crucial step. This research aims to forecast rice production in Magelang city. By applying Double Exponential Smoothing and ARIMA methods, the most suitable forecasting model is identified. Data on rice production was obtained from the Badan Pusat Statistik (BPS) of Magelang city. The results revealed that the ARIMA (0,1,1) model with MSE of 479,259 was the best choice. This model is expressed as . Using this model, rice production was forecast from July to December 2023, the forecasting results showed that rice paddy production is expected to fluctuate in the coming months. For July 2023, production is projected to be around 65,1762 units, followed by 51,4779 units in August, 58,2432 units in September, and so on.
MAPPING OF GENDER INEQUALITY IN INDONESIA BASED ON INFLUENCING FACTORS USING GEOGRAPHICALLY WEIGHTED ORDINAL LOGISTIC REGRESSION Khaulasari, Hani; Suhaeri, Fadjar
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0233-0244

Abstract

Gender inequality is a condition of discrimination between men and women that results from unequal social systems and structures. Gender inequality is measured based on the gender inequality index (IKG). This research aims to map gender inequality in Indonesia based on influencing factors and compare classification accuracy results between the GWOLR and ordinal logistic regression model. Data was obtained from the Indonesian Central Statistics Agency (BPS RI) and KemenPPPA in the year of 2022. The Gender Inequality Index data as the response variable is categorized using an ordinal data scale, namely IKG (1) Low, IKG (2) Middle, and IKG (3) High with ten predictor variables from the dimensions of health, education, human empowerment, socio-culture, and employment, with the amount of data is 34 observation data. The research method uses geographically weighted ordinal logistic regression (GWOLR) based on exponential kernel weighting. In the data analysis stage, ordinal logistic regression is performed before applying GWOLR, and after the model is formed, the classification accuracy will be calculated. The results of this study indicate that mapping gender inequality in Indonesia based on influencing factors using the GWOLR model forms three groups. The first mapping location labeled as low inequality is influenced by women whose birth was attended by a health worker (X1), women who have a pre-employment card (X7), women who are employed (X8), and the percentage of women who married before the age of 17 (X10). The second mapping location labeled with middle inequality is influenced by women whose delivery is attended by a health worker (X1), women's net enrolment in higher education (X2), and women married before the age of 17 (X10). The three locations categorized as high inequality are influenced by female birth attendance by health personnel (X1), Women's Human Development Index (X3), female rape offenses (X4), female domestic violence offenses (X6), and female marriage under the age of 17 (X10). Modeling the Gender Inequality Index using the GWOLR model resulted in higher classification accuracy than the ordinal logistic regression model, which was 94.11%.
MODELING CRIME IN EAST JAVA USING SPATIAL DURBIN MODEL REGRESSION Farida, Yuniar; Farmita, Mayandah; Intan, Putroue Keumala; Khaulasari, Hani; Wibowo, Achmad Teguh
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss3pp1497-1508

Abstract

The high crime rate will create unrest and losses for the community. One of the provinces with high crime rates is East Java. This study aims to analyze the factors that influence criminality in East Java to ensure appropriate crime prevention and control measures can be taken. The factors that potentially influence crime in East Java studied include population density, the number of poor people, unemployment, Human Development Index (HDI), Gross Regional Domestic Product (GRDP), and per Capita Expenditure, which are associated with geographical conditions in each region (regency/city) collected from BPS East Java in 2022. Meanwhile, the number of crimes is collected from the East Java Regional Police. This research uses a statistical method, namely the Spatial Durbin Model (SDM), which is a particular form of the Spatial Autoregressive Model (SAR) method with Queen Contiguity weighting by analyzing geographically (spatial processes). Based on the results of the analysis, it was found that the influential factors were unemployment, HDI, GRDP, and per Capita Expenditure, and the R-square result was obtained at 85.18%. This shows a relationship between spatial accessibility and crime, where unemployment, HDI, GRDP, and per Capita Expenditure in an area can affect regional vulnerability to crime
Co-Authors Ababil, Achmad Fachril Yusuf Abd Rachman Assegaf Abdulloh Hamid Achmad Teguh Wibowo Adam Fahmi Khariri Ahmad Hanif Asyhar Akbar, Jeneiro Rezkyansyah Maulana Amjad Ali Aris Fanani Armunanto, Firman Dian Yuliati Efendi, Havid FAJAR SETIAWAN Fajar Setiawan Farmita, Mayandah Ferdani, Ayu Fery Firmansyah Firda Sari Firda Yunita Sari Hafiyussholeh, Moh. Hamidah, Isna Inayah, Jauharotul Lutfi Hakim M. Imron M. Lail Kurniawan Maharani Kuntari Maharani sukma Kuntari Maliki, Naufal Ridho Maulana, Aashif Amiruddin Maulana, Jeneiro Moh. Hafiyusholeh Moh. Hafiyusholeh Mohammad Rizal Abidin Mohd Fauzi, Shukor Sanim Muhammad Thohir Nadiyah, Fithrotun Nafa Nur Nanda Adifia Novitasari, Dian C Rini Nur Aulia, Shofinatul Wahdah Nurissaidah Ulinnuha Pramesti, Diah Devi Pramono, Wahyu Joko pratiwi, Yuniar Ines Purhadi Purhadi Putri Krismadewi Putroue Keumala Intan Ratna Pangastuti Rudi Antonius S, Eka Eliyana Saputra, Yahya Vigo Tri Sari, Dian Candra Rini Novita Sari, Lia Puspita Setyawati, Maunah Siti Nurlela SNM, Diva Ayu Subaekti, Hendrik Suhaeri, Fadjar Susanto, Hugeng Swantika, Cicik Tiarra Dellaviyanie Muryanto Vianti, Febi Wahyudi, Sharenada Norisdita Wika Dianita Utami Wika Dianita Utami Winda Ari Yati Winda Yati Yuliati, Dian Yuniar Farida Zumrotul Muallifah