Article Per Year (5 Year)
p-Index From 2020 - 2025
2.679
P-Index
This Author published in this journals
All Journal Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Cita Ekonomika: Jurnal Ilmu Ekonomi Pakem : Jurnal Pengabdian Kepada Masyarakat Jurnal GAMMA-PI Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Nabilla, Ulya
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 17 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 17 Documents
Search

 1   2 
ANALISIS PENGARUH LAYANAN SAMSAT WARUNG KOPI TERHADAP KEPUASAN MASYARAKAT KOTA LHOKSEMAWE Chaidir, Chaidir; fairus, fairus; Sari, Riezky Purnama; Nabilla, Ulya; Nurviana, Nurviana; Amelia, Amelia; Fuad, Muhammad
Jurnal Cita Ekonomika Vol 17 No 2 (2023): Cita Ekonomika: Jurnal Ilmu Ekonomi
Publisher : Jurusan Ekonomi Pembangunan, FEB Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51125/citaekonomika.v17i2.11143

Abstract

Samsat Warung Kopi is the newest innovation product from the Lhoksemawe Samsat Service in 2021 with the aim of making the vehicle tax payment process fast, easy and in a pleasant atmosphere for people who want to pay taxes. The aim of this research is to determine the quality of Samsat warung kopi’s services on the satisfacation of the people of lhokseumawe. The data used is primary data in the form of a questionnaire results distributed to 59 respondents. The results of the analysis show that Samsat Warung Kopi's services in paying vehicle tax is considered to be very good (81.09%). Community satisfaction with the quality of Samsat Warung Kopi's services in paying vehicle tax is rated as Very Good (83.67%). Regression Value Y = 17,222+ 0.893X. dan based on the results of the hypothesis test, it was concluded that that samsat warung kopi’s services had a very significant effect on community satisfaction. The percentage of influence of the coffee shop vehicle tax payment service on Lhokseumawe community satisfaction was 0.239 or 23.9% and the remainder was influenced by variables not included in this research.
PENYULUHAN DAN PELATIHAN PEMBUATAN PRODUK NUTRASETIKAL IE BU PEUDAH SEBAGAI ANTIDIABETES DI DESA MEURANDEH, LANGSA, ACEH Rahmazani, Intan; Junidil Asna, Intan; Nabilla, Ulya; Ilman Navia, Zidni
Jurnal Masyarakat Berdikari dan Berkarya (Mardika) Vol 1 No 3 (2023): Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Publisher : Fakultas Teknik, Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55377/mardika.v1i3.9387

Abstract

Ie bu peudah is a traditional Acehnese dish made with 44 different leaf and spice species. This spicy porridge is typically consumed during Ramadan since it is thought to improve the body's endurance after fasting all day. The raw components used to make these nutraceutical products are known to offer anti-diabetic properties. This community service project intends to provide knowledge and training on how to make nutraceutical goods, which can help diabetics maintain their health and prevent future issues. This community service project is carried out in Meurandeh Village, Langsa City, using a community empowerment strategy that consists of three stages: counseling, practice, and evaluation monitoring. According to the findings of this exercise, 80% of the general population.
PEMANFAATAN ARTIFICIAL INTELLIGENCE (AI) SEBAGAI MEDIA PEMBELAJARAN INTERAKTIF BERBASIS DIGITAL DI ERA REVOLUSI INDUSTRI 4.0 SOCIETY 5.0 BAGI GURU SMPN 4 KOTA LANGSA Amelia; Muliani, Fitra; Meutia, Rahmi; Nabilla, Ulya; Purnama Sari, Riezky; Nurviana; Fairus
Jurnal Masyarakat Berdikari dan Berkarya (Mardika) Vol 2 No 3 (2024): Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Publisher : Fakultas Teknik, Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55377/mardika.v2i3.10748

Abstract

Teachers are the key to the success of school digital initiatives in creating quality human resources. Teachers as educators are required to be proficient and skilled in using various ICT (Information and Communication Technology) based learning media. The sophistication of technology that can be utilized by teachers to improve the learning process experience is Artificial Intelligence (AI). Chat GPT is one of the implementations of the GPT model designed to interact with users in the form of conversation or chat. Based on the results of interviews with the Principal of SMPN 4 Kota Langsa, it is known that there are several problems, namely the lack of education for teachers related to AI, lack of knowledge in using AI, especially Chat GPT, and the absence of utilization of AI-based learning media. The method of implementing activities includes observation or field survey, socialization and counseling, training, mentoring and monitoring and evaluation. The questionnaire results generally show that the community service activities carried out at SMPN 4 Kota Langsa are said to have received sufficient participation from the teachers. The good response shown by the teachers helped the socialization process run smoothly, actively asking and answering questions so that the training process on the use of AI, especially Chat GPT, went well.
Application Of The Adams Bashforth-Moulton Method To Coffee Production Quantity Approach Tarisma, Tantri; Saumi, Fazrina; Nabilla, Ulya
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 9 No. 4 (2024): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v9i4.660

Abstract

Coffee is a type of plantation plant that has long been cultivated so that it has high economic value. Therefore, the authors are interested in approximating the amount of coffee production using the Adams Basforth Moulton method. The Adams Bashforth Moulton method is a way of finding a numerical solution at a certain point of a non-linear differential equation with a known initial value. The differential equation is first solved using the fourth-order Runge Kutta method to obtain four initial solutions which are then substituted into the fourth order Adams Bashforth predictor equation. Furthermore, the approximation value is corrected using the fourth-order Adams Moulton corrector equation. If the relative error is less than the stopping criterion , then the iteration is stopped. The iterations are performed 25 times with an interval of [0,25]. The results of the approximation using the Adams Bashforth Moulton method on the Verhults equation in the approximation show that every year the amount of production increases. The results of the total coffee production in Aceh Province in 2022 will reach 71468 tons and in 2023 it will reach 72966 tons and in 2024 it will reach 74465 tons.
ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARAT Amelia, Amelia; Mulyani, Fitra; Nabilla, Ulya
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 2 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1187.294 KB) | DOI: 10.30598/barekengvol14iss2pp175-186

Abstract

Poverty is an inability to meet basic needs measured by expenditure, including rice consumption. Based on data from the Central Statistics Agency (BPS), as much as 95% of Indonesia's population consumes rice as the main food, with an average rice consumption of 102 kg/person/ year (BPS, 2013). Furthermore, BPS stated that almost 1/4 of them or around 25.95 million people were included in the category of the poor population as of March 2018. So the government made a policy to tackle the problem through the program of giving poor family rice (Raskin), namely subsidized rice assistance to households poor. However, in the implementation of the Raskin program, there was a deviation of around 40% of Indonesia's population with a middle-upper social-economic status receiving Raskin and 12.5% ​​of the population with a socio-economic status upon receiving Raskin. Therefore this study aims to analyze the significant factors that affect the status of rice in poor families using binary logistic regression analysis. The location of the study was conducted in the District of West Langsa because the district was one of the districts receiving the most Raskin in the City of Langsa. The data used in this study are primary data and secondary data. The results showed that the factors influencing the status of Raskin's acceptance were education level, floor type, fuel type, food expenses, and frequency of purchasing new clothes with prediction classification prediction of 72.2%.
INOVASI PRODUK ICE CREAM DAN STIK AMPAS TAHU DALAM PEMANFAATAN AMPAS TAHU SEBAGAI USAHA PENGEMBANGAN PRODUK UMKM USAHA TAHU MAJU MANDIRI DESA PAYA BUJOK TEUNGOH Riezky Purnama Sari; Nabilla, Ulya; Fajri, Rahmatul; Amelia; Nurviana; Muliani, Fitra; Fairus
Jurnal Masyarakat Berdikari dan Berkarya (Mardika) Vol 2 No 3 (2024): Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Publisher : Fakultas Teknik, Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55377/mardika.v2i3.11159

Abstract

Tofu production in Langsa City is mostly produced by small businesses, one of which is the UMKM Usaha Tahu Maju Mandiri. Based on initial observations, the problems faced by these MSMEs are not maximizing the use of solid tofu dregs which are of selling value, lack of knowledge in more attractive product packaging, and not having a well-structured financial bookkeeping system. The solutions offered are in the form of outreach about maximizing the use of tofu dregs that can be of marketable value, designing product labels, as well as training in making ice cream and tofu dregs sticks, product packaging techniques, and making simple financial reports. This activity is carried out in three stages, namely preparation, implementation and evaluation. The method used is the Participatory Rural Appreciation (PRA) method with lecture techniques, interactive discussions, demonstrations and direct practice. This activity went well. partners gained knowledge about making ice cream and sticks from solid tofu dregs, as well as increased partner motivation in developing their business, namely by selling ice cream products and tofu dregs stick
PENGEMBANGAN KOMPETENSI GURU DALAM PENULISAN ARTIKEL ILMIAH DAN PENGGUNAAN MENDELEY Nabilla, Ulya; Nurviana, Nurviana; Lydia, Ellida Novita; Amelia, Amelia; Muliani, Fitra; Sari, Riezky Purnama; Fairus, Fairus; Mutiara, Mutiara
PAKEM : Jurnal Pengabdian Kepada Masyarakat Vol 5 No 2 (2025): Pakem : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pakem.5.2.55-61

Abstract

Writing scientific papers is one of the important activities to demonstrate the professionalism of a teacher. SMKN 5 Langsa has approximately 37 teachers, 20 of whom are civil servants (ASN). The results of interviews with the Deputy Head of School at SMKN 5 Langsa indicate that many teachers are still not skilled in academic writing. Furthermore, they also face difficulties in preparing proper and accurate bibliographies. One of the software that can be used to compile bibliographies is Mendeley. The training is conducted through several stages, include observing the problems faced by the partners. It is followed by the socialization and training on academic writing and the use of Mendeley software. After conducting observations, the team held Focus Group Discussions (FGD) with the community partners. The team provided socialization to the partners regarding the development of teacher competencies in writing scientific articles and the use of Mendeley for academic references. Then, they provided training and mentoring. The conclusion of this activity is that the program ran smoothly, and the partners gained knowledge and PKM training to improve the quality of their scientific writing
ANALISIS REGRESI LOGISTIK BINER UNTUK MENENTUKAN FAKTOR STILLBIRTH DI KABUPATEN ACEH TIMUR Muliani, Fitra; Amelia, Amelia; Nabilla, Ulya; Azizah, Azizah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (489.349 KB) | DOI: 10.30598/barekengvol15iss1pp001-008

Abstract

Stillbirth merupakan kematian fetus setelah usia gestasi 20 minggu dan sebelum persalinan, tanpa adanya tanda kehidupan setelah lahir. Permasalahan bayi lahir dalam keadaan meninggal merupakan problem yang masih menjadi tugas bagi pemerintah dan perlu perhatian secara khusus untuk diselesaikan. Adapun tujuan penelitian ini untuk meninjau faktor penyebab yang paling dominan secara signifikan terhadap kematian bayi, khususnya terkait permasalahan stillbirth pada Puskesmas yang terletak pada pusat kota Aceh Timur.Data yang akan dianalisis merupakan data sekunder yang diperoleh dari puskesmas Idi Rayeuk dan dinas kesehatan kabupaten Aceh Timur. Pada penelitian ini, penulis akan menganalisa faktor-faktor yang signifikan serta berpengaruh terhadap stillbirth dengan menggunakan anilisis regresi logistik biner. Respon pada kasus ini bersifat biner yaitu hidup dan mati. Metode regresi logistik digunakan untuk memodelkan variabel respon serta mencari hubungan antara variabel respon dengan variabel prediktor. Model regresi logistik binner untuk menggambarkan hubungan antara stillbirth pada ibu hamil dengan infeksi kehamilan, cacat bawaan, kondisi kesehatan ibu, dan usia ibu adalah . Berdasarkan model regresi logistik biner, dapat dinyatakan bahwa dari empat variabel bebas yang di analisis untuk mengidentifikasi faktor-faktor yang berpengaruh terhadap kejadian stillbirth pada ibu hamil, menghasilkan bahwa variabel infeksi selama kehamilan yang paling mempengaruhi terjadinya stillbirth pada ibu hamil yang sampelnya diperoleh dari puskesmas Idi Rayeuk dan dinas kesehatan kabupaten Aceh Timur. Ibu yang mengalami infeksi kehamilan 2 kali lebih berpengaruh dibandingkan dengan ibu yang tidak mengalami infeksi kehamilan terhadap kejadian stillbirth pada ibu hamil.
POISSON REGRESSION MODELING GENERALIZED IN MATERNAL MORTALITY CASES IN ACEH TAMIANG REGENCY Sari, Riska Novita; Nabilla, Ulya; Sari, Riezky Purnama
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (423.785 KB) | DOI: 10.30598/barekengvol17iss1pp0235-0244

Abstract

Maternal Mortality Rate (MMR) is the number of maternal deaths due to the process of pregnancy, childbirth, and postpartum which is used as an indicator of women's health degrees. The number of maternal deaths in Aceh Tamiang Regency in 2021 is a discrete random variable distributed by Poisson. The purpose of this study is to find out what poisson regression model is generalized in the case of MMR in Aceh Tamiang Regency in 2021 and what factors affect the AKI in Aceh Tamiang Regency in 2021. The research data was obtained from the Aceh Tamiang District Health Office. This type of research is quantitative by using the Generalized Poisson Regression method. The data used are maternal mortality rates and data on factors affecting MMR in Aceh Tamiang Regency in 2021. Influencing factors are the percentage of visits by pregnant women in K1 , percentage of visits by pregnant women K4 , percentage of maternity assistance by health workers , TT immunization of pregnant women , pregnant women who get Fe tablets , and puerperal ministry . Based on the results of research, the factors that affect the maternal mortality rate in Aceh Tamiang Regency in 2021 are TT immunizations for pregnant women (X4) with a p-value of 0.009 which states that for every additional TT immunization of pregnant women by 1%, the average maternal mortality rate also decreases by . The form of the generalized poisson regression model obtained is .
COMPARATIVE ANALYSIS OF TIME SERIES FORECASTING MODELS USING ARIMA AND NEURAL NETWORK AUTOREGRESSION METHODS Melina, Melina; Sukono, Sukono; Napitupulu, Herlina; Mohamed, Norizan; Chrisnanto, Yulison Herry; Hadiana, Asep ID; Kusumaningtyas, Valentina Adimurti; Nabilla, Ulya
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2563-2576

Abstract

Gold price fluctuations have a significant impact because gold is a haven asset. When financial markets are volatile, investors tend to turn to safer instruments such as gold, so gold price forecasting becomes important in economic uncertainty. The novelty of this research is the comparative analysis of time series forecasting models using ARIMA and the NNAR methods to predict gold price movements specifically applied to gold price data with non-stationary and non-linear characteristics. The aim is to identify the strengths and limitations of ARIMA and NNAR on such data. ARIMA can only be applied to time series data that are already stationary or have been converted to stationary form through differentiation. However, ARIMA may struggle to capture complex non-linear patterns in non-stationary data. Instead, NNAR can handle non-stationary data more effectively by modeling the complex non-linear relationships between input and output variables. In the NNAR model, the lag values of the time series are used as input variables for the neural network. The dataset used is the closing price of gold with 1449 periods from January 2, 2018, to October 5, 2023. The augmented Dickey-Fuller test dataset obtained a p-value = 0.6746, meaning the data is not stationary. The ARIMA(1, 1, 1) model was selected as the gold price forecasting model and outperformed other candidate ARIMA models based on parameter identification and model diagnosis tests. Model performance is evaluated based on the RMSE and MAE values. In this study, the ARIMA(1, 1, 1) model obtained RMSE = 16.20431 and MAE = 11.13958. The NNAR(1, 10) model produces RMSE = 16.10002 and MAE = 11.09360. Based on the RMSE and MAE values, the NNAR(1, 10) model produces better accuracy than the ARIMA(1, 1, 1) model.
Co-Authors Amelia Amelia Amelia Azizah Azizah Basriwijaya, Kiagus Muhammad Zain Chaidir Chaidir Ellida Novita Lydia Fairus Fairus, Fairus Fajri, Rahmatul Hadiana, Asep Id Herlina Napitupulu Junidil Asna, Intan Kusumaningtyas, Valentina Adimurti Maulana, Shevira Agustri Melina Melina, Melina Muhammad Fuad Muhammad Salman Muliani, Fitra Mulyani, Fitra mutiara mutiara Navia, Zidni Ilman nildawati, lazini afriani Norizan Mohamed Nurviana Nurviana, Nurviana Purnama Sari, Riezky Rahmawati, Rahmawati Rahmazani, Intan Rahmi Meutia, Rahmi Riezky Purnama Sari Rihadatul Aishy Rini Mastuti Rosmaiti, Rosmaiti Safrizal Safrizal Sari, Riezky Purnama Sari, Riska Novita Saumi, Fazrina Sukono . Tarisma, Tantri Yulison Herry Chrisnanto