Article Per Year (5 Year)
p-Index From 2021 - 2026
1.556
P-Index
This Author published in this journals
All Journal International Journal of Advances in Applied Sciences Media Teknik Sipil Jurnal Dedikasi Jurnal Gamma Prosiding Semnastek Journal of Energy, Mechanical, Material and Manufacturing Engineering BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks J-Dinamika: Jurnal Pengabdian Kepada Masyarakat JINAV: Journal of Information and Visualization Proceeding Biology Education Conference ARMATUR : Artikel Teknik Mesin dan Manufaktur Jurnal Teknik Mesin Sinergi J-Proteksion : Jurnal Kajian Ilmiah dan Teknologi Teknik Mesin
Ali Mokhtar
Universitas Muhammadiyah Malang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health

Published : 33 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 33 Documents
Search

 1   2   3   4 
Evaluating ARIMA Models for Short-Term Rainfall Forecasting in Polewali Mandar Regency Ahmar, Ansari Saleh; Mokhtar, Ali
JINAV: Journal of Information and Visualization Vol. 5 No. 2 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav3266

Abstract

This study aims to forecast rainfall in Polewali Mandar Regency using the ARIMA model. This is a quantitative study that uses secondary data, specifically monthly rainfall data (in mm) from January 2008 to December 2020, obtained from the NERC EDS Centre for Environmental Data Analysis. Two ARIMA models were tested: ARIMA(0,1,1)(0,1,1)[12] and ARIMA(1,1,1)(0,1,1)[12], with model selection based on the Akaike Information Criterion (AIC), which balances model fit and complexity. The AIC calculation revealed that the ARIMA(1,1,1)(0,1,1)[12] model had a lower AIC value (1677.33) compared to the ARIMA(0,1,1)(0,1,1)[12] model (1678.16), making ARIMA(1,1,1)(0,1,1)[12] the preferred model. Using this model, the forecasted rainfall for the next five months is as follows: January 2021: 279.8745 mm, February 2021: 238.2206 mm, March 2021: 237.1745 mm, April 2021: 349.3206 mm, and May 2021: 336.0976 mm. These forecasts provide valuable information for water resource management, agricultural irrigation planning, and disaster mitigation related to rainfall. The study emphasizes the importance of selecting the appropriate model to improve forecasting accuracy.
Pengaruh Penambahan Catalytic Converter Berbahan Ceramic Cordierite Honeycomb dan Sponge steel terhadap Emisi Gas Buang Kendaraan Rahmandhika, Andinusa; Mokhtar, Ali; Defantyan, Etantyo Daffa; Lutfi, Vicky Thorikhotul
J-Proteksion: Jurnal Kajian Ilmiah dan Teknologi Teknik Mesin Vol. 8 No. 2 (2024): J-Proteksion
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/jp.v8i2.1429

Abstract

Peningkatan jumlah kendaraan bermotor mengakibatkan kenaikan polusi udara akibat emisi gas buang. Penelitian ini bertujuan untuk mengkaji penambahan katalisator berbahan keramik cordierite berbentuk sarang lebah dan penambahan spons baja guna menghambat tingginya gas berbahaya yang dilepaskan pada knalpot. Metode yang digunakan dalam penelitian ini adalah metode eksperimental, dimulai dari perancangan converter, pemilihan jenis katalis, hingga proses pembuatan converter berbahan keramik cordierite dan spons baja lebah. Selanjutnya, dilakukan pengujian untuk membandingkan emisi gas buang kendaraan yang menggunakan converter dengan yang tidak menggunakan atau menggunakan knalpot bawaan motor. Parameter yang diukur adalah presentase gas buang CO, CO2, dan HC pada knalpot dengan memvariasikan nilai putaran mesin. Hasil pengujian menunjukkan bahwa penggunaan converter berbahan katalis keramik cordierite dapat menekan peningkatan presentase gas CO, CO2, dan kadar emisi HC yang dilepaskan ke lingkungan pada putaran mesin 1500 – 4500 rpm. Penambahan sponge steel efektif untuk mereduksi gas CO, CO2, dan kadar emisi HC pada putaran mesin rendah, namun tidak maksimal pada rpm tinggi.
Prediction index drought use neural network based rainfall Nafiiyah, Nur; Mokhtar, Ali
International Journal of Advances in Applied Sciences Vol 14, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i4.pp1146-1154

Abstract

Prolonged dry seasons compared to rainy seasons often lead to drought, making drought index observations essential. In Indonesia, drought monitoring commonly uses the standardized precipitation index (SPI), yet there is no common standard for drought index measurement. Therefore, this research applies the Z-score index (ZSI) and China-Z index (CZI), which, like SPI, are rainfall-based drought indices but have rarely been explored in previous research. To predict ZSI and CZI, this research compares the weighted moving average (WMA) and multilayer perceptron (MLP) methods. Two input scenarios are tested: the previous two periods (t-2, t-1) and the previous three periods (t-3, t-2, t-1). The results show that MLP outperforms WMA, with the best performance achieved by the MLP model at a mean absolute percentage error (MAPE) of 4.177% using the three variable input scenario and MLP architecture 3-6-10-1.
Co-Authors Achmad Fauzan Hery Adi Putra, Bagus Ahmar, Ansari Saleh Ali Saifullah Andinusa Rahmandhika Daryono Daryono Defantyan, Etantyo Daffa Heni Hendaryati Ilyas Masudin Lud Waluyo Lutfi, Vicky Thorikhotul Machmud Effendy Machmud Effendy Moch Agus Kresno Moch Agus Kresno, Moch Agus Moch. Agus Krisno Budiyanto muhammad irfan Muhammad Irfan Murjito Murjito Nafiiyah, Nur Pringga P, Okta Samin Samin Satworo Adiwidodo Sayid Muhammad Sayid Muhammad, Sayid Sentot Achmadi Sudarman . Sudarman . Sudarman Sudarman Sudarman Sudarman Sujono Sujono Suwignyo . Suwignyo, Suwignyo Yepy Komaril Sofi’i