Article Per Year (5 Year)
p-Index From 2021 - 2026
4.597
P-Index
This Author published in this journals
All Journal Jurnal Industri Hasil Perkebunan Sistemasi: Jurnal Sistem Informasi Jurnal Pendidikan : Riset dan Konseptual JMM (Jurnal Masyarakat Mandiri) Jurnal Teknologi Pertanian Jurnal Kreativitas PKM SELODANG MAYANG Jurnal Agro Indragiri Jurnal Pengabdian kepada Masyarakat Journal of Applied Agricultural Science and Technology Open Science and Technology Jurnal Riset Indragiri Indonesian Journal of Community Services Cel EJOIN : Jurnal Pengabdian Masyarakat Agricultural Revolution Journal JPP (Jurnal Pendidikan dan Pembelajaran)
Hermiza Mardesci
Sekolah Pasca Sarjana Magister Ilmu Pertanian, Universitas Lancang Kuning
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

Published : 99 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 99 Documents
Search

 6   7   8   9   10 
PENDIDIKAN POLITIK DAN SOSIALISASI PEMILU 2024 Azhar, Ali; Apriyanto, Mulono; Fikri, KMS Novyar Satriawan; Mardesci, Hermiza; Marlina, Marlina; Novitasari, Rifni; Yulianti, Yulianti
EJOIN : Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2024): EJOIN : Jurnal Pengabdian Masyarakat, Januari 2024
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/ejoin.v2i1.2169

Abstract

In 2024, Indonesia will hold general election, which is a routine agenda of every five years. But the 2024 election has an important signification as it would determine Indonesia's future. Apart from electing new members of parliament and a new president, after President Joko Widodo was unable to run for office due to the provisions of the 1945 Constitution, the 2024 election will be a touchstone for assessing the quality of democracy in Indonesia. At the end of Susilo Bambang Yudhoyono's administration, Indonesia's democracy was said to have stagnated, because President Susilo Bambang Yudhoyono’s policies were more accommodative to various parties within the parliament in order to maintain political stability and economic growth. With such kind of policy, reform of the bureaucracy and the military must have proceeded slowly, and eradicating corruption is still a big homework, and the protection of minorities and freedom of the press had to be fought for. But under the Jokowi’s administration, Indonesia's democracy is said to have suffered a setback due to political polarization, revision of the Corruption Eradication Commission (KPK) law, rampant corruption, and restrictions on civil liberties. To overcome this situation, it is important to provide political education to the public so that they are able to choose qualified leaders, such as through conducting lectures and discussions. The paper is a report of discussion held at Sunga Rukam village, Enok Subdistrict, Indragiri Hilir District. It showed that thatparticipants have a good understanding of political developments, especially those related to election, but they are still vulnerable to hoax and hate speeches, and in consequence, being trapped in political polarization
PENGARUH PENAMBAHAN TEPUNG DAUN KELOR (Moringa oleifera. L) TERHADAP KIMIA DAN ORGANOLEPTIK TTEOKBOKKI Rahmadani, Suci Adhis; Mardesci, Hermiza; Yulianti
JURNAL TEKNOLOGI PERTANIAN Vol. 13 No. 2 (2024)
Publisher : Prodi Teknologi Pangan Fakultas Pertanian Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/jtp.v13i2.3977

Abstract

Penelitian ini bertujuan untuk meningkatkan kandungan gizi tteokbokki, makanan populer Korea, dengan menambahkan tepung daun kelor (Moringa oleifera) yang kaya nutrisi. Latar belakang penelitian ini adalah tingginya angka stunting di Indonesia, termasuk di Provinsi Riau, meskipun daun kelor tersedia melimpah. Penelitian dilakukan untuk menentukan konsentrasi optimal tepung daun kelor yang menghasilkan tteokbokki dengan nilai gizi tinggi dan kualitas organoleptik yang baik. Hasil penelitian menunjukkan bahwa penambahan tepung daun kelor meningkatkan kadar protein, vitamin C, dan kadar abu, namun menurunkan kadar air. Konsentrasi tepung daun kelor sebesar 3,5% menghasilkan kadar protein tertinggi (7,31%). Penelitian ini memberikan informasi penting tentang pemanfaatan daun kelor dalam pengolahan pangan untuk meningkatkan gizi masyarakat
MENAKAR POTENSI DAN HAMBATAN INDUSTRI KELAPA SEBAGAI PENGUAT KETAHANAN PANGAN NASIONAL: SUATU KAJIAN LITERATUR Mardesci, Hermiza; Fitriani, Dita
JURNAL TEKNOLOGI PERTANIAN Vol. 14 No. 1 (2025)
Publisher : Prodi Teknologi Pangan Fakultas Pertanian Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/jtp.v14i1.4281

Abstract

Industri kelapa memiliki potensi besar sebagai pilar ketahanan pangan dan penggerak ekonomi nasional Indonesia. Sebagai produsen kelapa terbesar di dunia, Indonesia memiliki keunggulan komparatif dari segi agroekologi, diversifikasi produk, dan ketersediaan tenaga kerja. Namun, pengembangan industri kelapa masih menghadapi berbagai tantangan seperti produktivitas rendah, keterbatasan teknologi, akses pasar yang terbatas, serta dampak perubahan iklim. Kajian ini dilakukan melalui pendekatan studi literatur terhadap berbagai sumber ilmiah dan data sekunder guna mengidentifikasi potensi, hambatan, serta strategi pengembangan industri kelapa berkelanjutan. Hasil kajian menunjukkan perlunya transformasi teknologi, penguatan kelembagaan petani, dan integrasi rantai pasok berbasis ekonomi sirkular. Kolaborasi multipihak dan inovasi teknologi menjadi kunci untuk menjadikan industri kelapa sebagai sektor strategis dalam mencapai ketahanan pangan nasional.
PENERIMAAN KONSUMEN TERHADAP BOLU KUKUS DENGAN PENAMBAHAN KENTOS KELAPA Saputri, Heni Indra; Yulianti; Ninsix, Retti; Mardesci, Hermiza
JURNAL TEKNOLOGI PERTANIAN Vol. 14 No. 1 (2025)
Publisher : Prodi Teknologi Pangan Fakultas Pertanian Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/jtp.v14i1.4291

Abstract

Indonesia is one of the largest coconut producers in the world. Coconut trees are found in almost every province across the country. Coconut apple (kentos) is a by-product commonly found in almost all areas of Indragiri Hilir Regency, where the majority of the population works as coconut farmers. The aim of this study is to transform coconut apple waste into a valuable food product that is appealing to all segments of society. The results of the study show that the steamed sponge cake with the addition of coconut apple was well accepted by the panelists based on organoleptic characteristics, including color, aroma, texture, and taste. Based on the organoleptic evaluation (color, aroma, texture, and taste), it was concluded that steamed sponge cake with added coconut apple was acceptable and preferred by the panelists. The best treatment was treatment D, which used 15% coconut apple, with organoleptic scores of 4.00 for color, 4.10 for aroma, 4.55 for texture, and 4.45 for taste.
ANALISIS STABILITAS PROSES WWTP BERDASARKAN COD MENGGUNAKAN STATISTICAL QUALITY CONTROL DI PT. A Verra Syahmer; Maryam; Wahyu Yasril; Hermiza Mardesci
JURNAL TEKNOLOGI PERTANIAN Vol. 15 No. 1 (2026)
Publisher : Prodi Teknologi Pangan Fakultas Pertanian Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/vscwhs35

Abstract

This study aims to analyze the quality control of Chemical Oxygen Demand (COD) levels in the Waste Water Treatment Plant (WWTP) process at PT. A using the Statistical Quality Control (SQC) method. The data used consist of primary data obtained from laboratory testing and secondary data from company records. The analysis was conducted using X̄ and R control charts to monitor process stability and fishbone diagrams to identify the root causes of deviations. The results indicate that the COD treatment process still shows variations, suggesting that the process is not fully under statistical control during certain periods. The main contributing factors include human, method, machine, material, and environmental aspects. Therefore, continuous improvement efforts are required to ensure that the wastewater quality meets the established standards.  
Performance Evaluation of ARIMA and ANN Models for Forecasting Oil Palm Production Trends Hermiza Mardesci; Dita Fitriani
Agricultural Revolution Journal Vol. 1 No. 2 (2025): Agricultural Revolution Journal
Publisher : CIB Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64570/agrivolution.v1i2.33

Abstract

This study compares the performance of the Autoregressive Integrated Moving Average (ARIMA) model and an Artificial Neural Network (ANN) in forecasting annual palm oil production in Kampar Regency, using a univariate time series covering the period from 2013 to 2024. The forecasting aim is to support regional agricultural planning and decision-making in one of Riau Province’s key oil palm-producing regions. The ARIMA model was developed using the Box–Jenkins approach, which involves stationarity testing, optimal model identification, parameter estimation, and residual diagnostics, including ACF/PACF, Shapiro–Wilk, Jarque–Bera, and Ljung–Box tests. A feedforward ANN with three lagged inputs, five hidden neurons, sigmoid activation, and backpropagation training was constructed for comparison. Model performance was evaluated using RMSE, MAPE, and R². The results indicate that the ARIMA (1,1,1) model yields more stable and reliable forecasts, with diagnostic tests confirming white noise residuals and no significant autocorrelation. Conversely, the ANN model produced higher errors and indications of overfitting, likely due to the limited number of observations and the sharp increase in production recorded in the final data year. While ANN captured a stronger upward trend, which may represent an optimistic scenario, ARIMA provided more conservative and statistically valid forecasts under constrained data conditions. Overall, the ARIMA(1,1,1) model proved more suitable for the short univariate palm oil production series, yielding lower forecasting errors (RMSE = 273.88; MAPE = 8.92%) than the ANN model (RMSE = 283.53; MAPE = 9.03%).
Sustainable Palm Oil Management in the Tani Jaya Palm Oil Farmers Group, Rumbai Jaya Village Mulono Apriyanto; Hermiza Mardesci; Dita Fitriani; Djono Albar Burhan; K.M.S. Novyar Satriawan Fikri
Indonesian Journal of Community Services Cel Vol. 4 No. 2 (2025): Indonesian Journal of Community Services Cel
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70110/ijcsc.v4i2.128

Abstract

Background: The Indonesian government implements the Indonesia Sustainable Palm Oil (ISPO) standard to ensure environmentally responsible management of oil palm plantations. Compliance with ISPO is mandatory for both enterprises and independent smallholders involved in oil palm cultivation.Aims: A training program was established to educate these smallholders in agricultural business practices in line with ISPO principles, integrating both theoretical classroom instruction and practical field experience.Method: The training involved 45 participants, including 40 from the members of Farmer group and five independent non-member smallholders. Following this training, participants showed significant improvement in their understanding of farm business management metrics, including Equity Ratio (ER), Total Asset Turnover Ratio (TAT), and Return on Equity (ROE), among others.Results: The courses also covered essential ISPO principles such as Legal Compliance, Good Agricultural Practices, and Environmental Management. Evaluation of knowledge acquisition through written and oral assessments revealed a 95% increase in farmers' understanding of these management practices and ISPO criteria.
The Effect of Online Learning on University Students’ Learning Motivation Hermiza Mardesci Hermiza Mardesci
JPP (Jurnal Pendidikan dan Pembelajaran) Vol. 27 No. 1 (2020)
Publisher : Lembaga Pengembangan Pendidikan dan Pembelajaran, Universitas Negeri Malang in Collaboration with Asosiasi Pendidik dan Pengembang Pendidikan Indonesia (APPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study was designed to determine the effect of online learning on students’ learning motivation. Sixteen students from the Department of Food Technology, Islamic University of Indragiri, Indonesia, were involved in this study. Data collection was carried out through observation, literature review, and questionnaires. The results of this study indicate that students shared negative learning motivation responses to online learning.
Integrating Climate Variables into Coconut Production Forecasting: A Comparative Analysis of ARIMA and ARIMAX Models for Climate-Informed Decision Support Hermiza Mardesci; Mulono Apriyanto; Dita Fitriani; Herman Farmi; Abdullah Abdullah
Journal of Applied Agricultural Science and Technology Vol. 10 No. 3 (2026): Journal of Applied Agricultural Science and Technology
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/jaast.v10i3.558

Abstract

Coconut is a strategic plantation commodity in Padang Pariaman Regency, Indonesia, whose productivity is increasingly influenced by climate variability. Accurate, climate-responsive forecasting is therefore essential to support production planning and early warning systems. This study aims to develop and evaluate a climate-informed ARIMAX model for forecasting coconut production and assessing its potential application in an early warning framework. Annual coconut production data for 2014–2024 were combined with climate variables, including rainfall, temperature, humidity, wind speed, and the number of rainy days. A baseline ARIMA model was first identified, followed by ARIMAX modeling using Maximum Likelihood Estimation. Model selection was based on Akaike Information Criterion (AIC), while forecasting performance was evaluated using Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE). The results showed that ARIMA(1,1,1) was identified as the optimal baseline model and achieved the lowest forecasting errors based on RMSE and MAPE, indicating its strong capability in capturing the temporal pattern of coconut production. The incorporation of climate variables through ARIMAX demonstrated that rainfall and the number of rainy days significantly influenced coconut production, while temperature, humidity, and wind speed exhibited weaker effects. To improve model stability and avoid multicollinearity, a simplified log-ARIMAX(1,1,1) model was developed by retaining rainfall as the primary exogenous variable. This model achieved the lowest AIC value among the evaluated climate-based models, indicating improved parsimony and explanatory capability. Forecasting results for 2025–2029 indicate a moderate and continuous increase in coconut production. Although ARIMA provides superior predictive accuracy, the rainfall-based ARIMAX model offers additional insights into climate–production relationships, making it valuable for supporting climate-informed forecasting and the future development of early warning frameworks for coconut plantation productivity.
Co-Authors Abdullah Abdullah Agustin P. Pertiwi Ahmad Yasin Ahmad Yasin, Ahmad Alfi, Rizki Ali Azhar Ali Azhar Anak Agung Istri Sri Wiadnyani Apriyanto, Mulono Bayu Rianto Berry Tri Yoka Dian Sriwahyuni Diningsih, Suci Marta Dita Fitriani Dita Fitriani Dita Fitriani Djono Albar Burhan Elfi Yenny Yusuf Epsilody Mardeson Feni Puspitasari Fitri Wahyuni Fitriani, Dita Herman Farmi Ilyas Ilyas Imaryana Imaryana Imaryana, Imaryana Jurait, M Jurait, M. K.M.S. Novyar Satriawan Fikri Khaidir Saputra Khairul Ihwan, Khairul Lilis Masruroh M. Jurait Mardesci, Afrina Marlina Marlina Marlina Marlina Marlina Marlina Marlina Maryam Maryam Maryam Maryam, Maryam Maulana Rahman Melisa, Rekka Moh Amin, Moh Moh. Amin Mulono Apriyanto Mulono Apriyanto Nadiyah, Khairun Ninsix, Retti Ninsix, Retti Novitasari, Rifni Novizar Nazir Novyar Satriawan Fikri, KMS Nurbayah, Siti Nurhasnia Nursida. Zinatal Hayati, Rofika Nofri Yandra. Partini Pertiwi, Agustin P Pertiwi, Agustin P. R. Marwita Sari Putri Rahmadani, Suci Adhis Rahman, Maulana Ratri Retno Utami Rekka Melisa Retti Ninisix Retti Ninsix Retty Ninsix Rika Ampuh Hadiguna Rini Rahmayanti Rujiah Rujiah Santosa Santosa Santosa Saputri, Heni Indra Sari Putri, R. Marwita Saripuddin, Saripuddin Sartika Yuliani Sarumaha, Rahmat Syarief Siti Helmyati Siti Nurbaya Siti Nurbaya Sriwahyuni, Dian Supiati Suryadi Syamsiar, Syamsiar Trimo Priyanto Verra Syahmer Wahyu Yasril Widyawati Widyawati Yeni Afiza Yoka, Berry Tri Yoyon Riono Yuliani, Sartika Yulianti Yulianti Yulianti Yulianti Yulianti Yulianti Yulianti