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All Journal Agromet Cakrawala Pedagogik JINAV: Journal of Information and Visualization Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Enthusiastic : International Journal of Applied Statistics and Data Science AB-JME: Al-Bahjah Journal of Mathematics Education Mathematical Journal of Modelling and Forecasting Journal Arunasita
Hermansah
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Perbandingan Model Pembelajaran Mind Mapping dan Accelerated Learning terhadap Kemampuan Komunikasi Matematis Siswa di Kelas X SMA Negeri 19 Batam Hermansah; Fadillah, Indah
AB-JME: Al-Bahjah Journal of Mathematics Education Vol. 1 No. 2 (2023): AB-JME Vol. 1 No. 2 2023
Publisher : STAI Al-Bahjah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61553/abjme.v1i2.34

Abstract

Penelitian ini bertujuan untuk mengetahui: (1) Keefektifan model pembelajaran Mind Mapping terhadap kemampuan komunikasi matematis siswa, (2) Keefektifan model pembelajaran Accelerated Learning terhadap kemampuan komunikasi matematis siswa, dan (3) Perbandingan keefektifan model pembelajaran Mind Mapping dan Accelerated Learning terhadap kemampuan komunikasi matematis siswa kelas X SMA Negeri 19 Batam. Penelitian ini merupakan penelitian eksperimen dengan populasi seluruh siswa kelas X SMA Negeri 19 Batam sebanyak 399 siswa. Pengambilan sampel dilakukan dengan teknik simple random sampling dan diperoleh sampel sebanyak 99 siswa. Validitas dan reliabilitas instrumen yang digunakan dalam penelitian ini kemudian diuji, selanjutnya analisis data dengan menggunakan Uji T dependen dan independen diperoleh. Hasil analisis menunjukkan bahwa: (1) Model pembelajaran Mind Mapping efektif terhadap kemampuan komunikasi matematis siswa, (2) Model pembelajaran Accelerated Learning efektif terhadap kemampuan komunikasi matematis siswa, (3) Terdapat perbedaan keefektifan antara model pembelajaran Mind Mapping dan Accelerated Learning terhadap kemampuan komunikasi matematis siswa. Pada saat yang sama, model Mind Mapping lebih efektif karena dari karakteristik siswa yang lebih tertarik secara visual ketika Mind Mapping ditampilkan, karakter yang lebih mampu mengikuti pembelajaran ketika mengetahui produk akhir yang akan di buat yaitu membuat Mind Mapping, dan karakter siswa yang lebih tertarik dengan kreativitas.
Efektivitas Model Pembelajaran Contextual Teaching and Learning terhadap Kemampuan Pemecahan Masalah Matematis Siswa Sara Serlina Aulia; Hermansah
AB-JME: Al-Bahjah Journal of Mathematics Education Vol. 2 No. 1 (2024): AB-JME Vol. 2 No.1 2024
Publisher : STAI Al-Bahjah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61553/abjme.v2i1.78

Abstract

This research aims to determine the effectiveness of the contextual teaching and learning model on students' mathematical problem-solving abilities. This type of research is quasi experimental research with a pre-test post-test control group design. The population in this study were all class VIII students at the Wustho An-Ni'mah Batam Salafiyah Islamic Boarding School. The subjects in this research were 22 students from class VIII A as the experimental class and 12 students from class VIII B as the control class. The sampling technique was carried out using a saturated sample technique. Data was obtained with a test instrument consisting of 4 questions which had been tested for validity and reliability (rii = 0.67). The data analysis techniques used are normality tests, homogeneity tests, and hypothesis tests which include paired sample t-test and independent sample t-test. Based on the results of data analysis, (1) The CTL learning model is effective on students' mathematical problem-solving abilities, (2) The Direct Instruction learning model is not effective for students' mathematical problem-solving abilities, (3) There are differences in the effectiveness of the CTL learning model and the Direct Instruction learning model on students' mathematical problem solving abilities.
Indonesian Inflation Forecasting with Recurrent Neural Network Long Short-Term Memory (RNN-LSTM) Hermansah; Muhajir, Muhammad; Canas Rodrigues, Paulo
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 4 Issue 2, October 2024
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol4.iss2.art5

Abstract

This study forecasted inflation in Indonesia using the Recurrent Neural Network Long Short-Term Memory (RNN-LSTM) model, ideal for nonlinear, complex time series data. It evaluated the effects of different activation functions, such as Logistic, Gompertz, and Hyperbolic Tangent (tanh); and weight update methods, such as Stochastic Gradient Descent (SGD) and Adaptive Gradient (AdaGrad) on RNN-LSTM performance. Monthly inflation data from January 2005 to December 2023 underwent preprocessing, including normalization and autoregressive lag-based input selection. Model accuracy was assessed with Root Mean Squared Error (RMSE) and Symmetric Mean Absolute Percentage Error (SMAPE). The findings indicated that the RNN-LSTM model with the logistic activation function and SGD optimization achieved the highest accuracy, outperforming traditional models such as Exponential Smoothing (ETS), Autoregressive Integrated Moving Average (ARIMA), Feedforward Neural Network (FFNN), and Recurrent Neural Network (RNN). Additionally, optimal learning rate and epoch values were identified, enhancing model stability and precision. In conclusion, the study confirms that the RNN-LSTM model is effective for inflation forecasting when optimized with specific activation functions and optimization methods. It recommends further exploration of neuron configurations and alternative models, such as the Gated Recurrent Unit (GRU), to improve forecast accuracy.  
CITOREK TRADITIONAL LEADERSHIP AS STUDY MATERIAL IN LEADERSHIP DEVELOPMENT IN PRIMARY SCHOOLS Oktania, Sella; Hermansah; Ila Rosmilawati
Cakrawala Pedagogik Vol 8 No 2 (2024): Cakrawala Pedagogik
Publisher : Sekolah Tinggi Keguruan dan Pendidikan Syekh Manshur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51499/cp.v8i2.700

Abstract

This research aims to examine Citorek traditional leadership and its relevance in leadership development in elementary schools. Citorek traditional leadership, which is based on local wisdom and traditional value systems, has the potential to provide inspiration for the development of leadership skills based on the values of togetherness, mutual cooperation and social responsibility. The research was carried out in Citorek village, Lebak Regency. The research method used was a qualitative study with an ethnographic approach. The research subjects in this research are traditional leaders, Jaro, and the Citorek community. Data collection techniques are through in-depth interviews with traditional leaders and the Citorek community as well as direct observation. The research results show that Citorek's leadership values, such as participatory decision making and collective responsibility, are very relevant to be applied in elementary school management. In conclusion, Citorek traditional leadership can be a source of learning for elementary school principals in creating a school climate that is inclusive, participatory and based on social values
Short-term Forecasting of Covid-19 Cases in East Java of Indonesia using NARX-NN Model Hermansah; Rosadi, Dedi; Novianti, Pepi
JINAV: Journal of Information and Visualization Vol. 4 No. 2 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav2356

Abstract

The goal of this study is to forecast short-term verified Covid-19 infections in East Java of Indonesia using the NARX-NN model. Here, the external variable used was the weather of East Java. The confirmed data for Covid-19 were obtained from the BNPB, and the weather data of East Java were obtained from the BMKG. Data from July 21st, 2020 to June 20th, 2021, were used for model formation (training data), and data from June 21st to 27th, 2021 were used for validation data. Based on the formatting model results, we can conduct a short-term forecast for three future periods (June 28th to 30th, 2021). This research evaluated the NARX-NN model using the forecasting accuracy of MAPE. The NARX-NN approach is more suitable than the NAR-NN method for predicting daily confirmed Covid-19 cases in East Java, based on the forecasting results of the NAR-NN and NARX-NN methods. The MAPE value was 0.03060 (0.03248 smaller than the MAPE value of the NAR-NN). At the conclusion of the study, the NARX-NN approach was utilized for daily forecasting of Covid-19 instances in East Java from June 28th to June 30th, 2021, namely 1039, 1072, and 1185.
Pemberian Kompos Kotoran Sapi Terhadap Perubahan Karakteristik Kimia Tanah Bekas Tambang Batu Kapur PT. Semen Padang Hakim, Lukman Nul; Hermansah; Maira, Lusi; Sefano, Muhammad Aknil
Journal Arunasita Vol. 1 No. 1 (2024): Pangan dan Tantangan dalam Era Digital
Publisher : WBS Laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15315110

Abstract

Tanah bekas tambang batu kapur merupakan tanah yang memiliki sifat kimia, fisika, dan biologi yang buruk sehingga tingkat kesuburan sangat rendah. Tujuan dari penelitian ini adalah untuk mengetahui dosis kompos kotoran sapi yang optimal untuk perbaikan sifat kimia tanah bekas tambang batu kapur dan pertumbuhan tanaman trembesi (Samanea saman). Penelitian ini menggunakan metode rancangan acak lengkap dengan 5 perlakuan dan 3 ulangan. Macam perlakuan yang diuji merupakan dosis kompos kotoran sapi (dosis 0,5 kg, 1 kg, 1,5 kg, dan 2 kg). Hasil optimal ditunjukkan oleh perlakuan 1 kg kompos kotoran sapi yaitu pH 7,29, kejenuhan basa 41,25%,  kandungan  C-organik  0,166%,  N-total  0,173%,  P-tersedia  60,19  ppm,  KTK  24,10  me/100g,  Mg-dd  1,409  me/100g,  K-dd 0,076 me/100g, dan Na-dd 0,329 me/100g. Sedangkan untuk kandungan Ca-dd mengalami penurunan menjadi 8,101 me/100g.
Kajian C-Organik dan Makro Fauna Tanah Sawah Minimum Tillage di Kelurahan Kurao Pagang Kota Padang Rahmi, Hafiza; Hermansah; Gusnidar
Journal Arunasita Vol. 1 No. 1 (2024): Pangan dan Tantangan dalam Era Digital
Publisher : WBS Laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15315287

Abstract

Pengelolaan lahan secara intensif menyebabkan hilangnya lapisan tanah subur dan penurunan kualitas tanah. Minimum Tillage atau pengolahan tanah minimum adalah teknik pertanian yang bertujuan untuk mengurangi gangguan pada struktur tanah dan mempertahankan kualitas lingkungan. Penelitian ini bertujuan untuk mengkaji pengaruh beberapa dosis kombinasi dari bahan organik dan pupuk sintetis pada tanah sawah minimum tillage terhadap C-Organik dan makro fauna tanah di Kelurahan Kurao Pagang Kota Padang. Penelitian dilakukan dari Januari sampai Juni 2024. Perlakuan yang diberikan yaitu kombinasi bahan organik dan pupuk sintetis, yang terdiri dari 5 perlakuan (A = Tanpa Input (Kontrol), B = Pupuk sintetis (150 g/petak), C = Jerami Padi (6 kg/petak) + Pupuk Kandang Ayam (3 kg/petak), D = Jerami Padi (6 kg/petak) + Pupuk Sintetis (150 g/petak), E = Jerami Padi (6 kg/petak) + Pupuk Kandang Ayam (1,5 kg/petak) + Pupuk Sintetis (75 g/petak)). Unit perlakuan dialokasikan di lapangan berdasarkan Rancangan Acak Kelompok (RAK). Parameter yang dianalisis adalah BV, pH, C-Organik, N-Total, Rasio C/N, Stok karbon, Populasi, Keragaman makro fauna, Frekuensi keberadaan jenis, dan Nilai kekayaan jenis. Hasil penelitian terbaik ditunjukkan oleh perlakuan C yang menunjukkan bahwa perlakuan minimum tillage dengan pengembalian jerami padi dalam bentuk mulsa dan pupuk kandang ayam secara signifikan menurunkan BV tanah senilai 0,73 g/cm3 dan meningkatkan kandungan C-Organik hingga 2,20%. Perlakuan kombinasi dengan penambahan pupuk kandang ayam pada perlakuan E menghasilkan populasi makro fauna, keragaman, frekuensi keberadaan jenis, dan nilai kekayaan jenis tertinggi. Hal ini menunjukkan pentingnya pengelolaan tanah yang berkelanjutan untuk meningkatkan kualitas tanah dan keanekaragaman hayati dalam tanah.
Assessment of Rice Crop Water Requirements for Planting Season in Moderate Agroclimatic Area of West Sumatra Saputra, Rizky Armei; Yulianti, Via; Hermansah
Agromet Vol. 39 No. 1 (2025): JUNE 2025
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.39.1.40-47

Abstract

In changing climate, uncertainty in rice production becomes more frequent leading to threat of food security. However, research on rice cultivation in the rainfed agricultural areas of West Sumatra remains limited. The objectives of the study are to analyze the crop water requirements of rainfed rice and to determine rice planting patterns. The study was conducted in a moderate agro-climate area of West Sumatra based on oldeman agroclimate zone that experienced changes in planting patterns. We used climate data for 1991 – 2020 obtained from TerraClimate, which were utilized for monthly water balance computation based on the Thornwhite and Matter approach. The analysis focused on four major rice production centers, namely: Panti in Pasaman, Lima Kaum in Tanah Datar, Luak in Lima Puluh Kota and Sijunjung. The results showed change in water deficit periods across the study sites have changed planting season. Based on our analysis site in Lima Kaum, Tanah Datar experienced the longest deficit period, which lasted 5 months from May to September. This situation may not suitable to plant rice throughout the year without additional irrigation. Further, adjusting to the secondary crop may be considered to optimize agricultural productivity. These findings can serve as a reference for determining planting seasons and improving water use and distribution strategies in rainfed agricultural systems.
Strategy for Enhancing GRU-RNN Performance through Parameter Optimization Hermansah
Mathematical Journal of Modelling and Forecasting Vol. 3 No. 1 (2025): June 2025
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/mjmf.v3i1.41

Abstract

This study examines the selection of optimal parameters in the Gated Recurrent Unit-Recurrent Neural Network (GRU-RNN) model for forecasting inflation in Indonesia. Accurate forecasting requires precise model parameter adjustments, especially for time-series data, which can be either linear or non-linear. The study evaluates several parameters, including learning rate, number of epochs, optimization methods (Stochastic Gradient Descent (SGD) and Adaptive Gradient (AdaGrad)), and activation functions (Logistic, Gompertz, and Tanh). The results show that the best combination consists of the SGD optimization method, logistic activation function, a learning rate of 0.05, and 450 epochs, which delivers the best performance by minimizing errors and achieving high prediction accuracy. When compared to other forecasting models such as Exponential Smoothing (ETS), Autoregressive Integrated Moving Average (ARIMA), Feedforward Neural Network (FFNN), and Recurrent Neural Network (RNN), the GRU-RNN model shows significant superiority. Additionally, the Logistic activation function proves to be more effective in maintaining stability and prediction accuracy, while the use of the Adaptive Gradient (AdaGrad) method results in lower performance. These findings underscore the GRU-RNN model's ability to handle non-linear time-series data and provide insights for developing more accurate and efficient forecasting models in the future.
THE INFLUENCE OF PRINCIPAL LEADERSHIP, TEACHER MOTIVATION, WORK CULTURE, WORK ENVIRONMENT, TEACHER WELFARE AND LOCAL COMMUNITY SUPPORT ON SCHOOL PERFORMANCE IN PRIVATE JUNIOR HIGH SCHOOLS IN BATAM CITY Mega Heriyanto; Sri Langgeng Ratnasari; Hermansah
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 1 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i1.2659

Abstract

This study aims to determine the effect of principal leadership, teacher motivation, work culture, work environment, teacher welfare, and local community support on school performance in private junior high schools in Batam City, both partially and simultaneously. The method used is quantitative analysis by distributing questionnaires to private junior high school teachers in Batam City. Statistical tests carried out include validation and reliability, as well as multiple linear regression analysis using the SPSS 21 program. Quantitative data were collected through questionnaires distributed to 120 respondents, consisting of principals and teachers, with a population of 200. Sampling was carried out using the product moment formula with an error rate of 5% with a non-probability sampling method, namely cluster sampling, with an error rate of 5%. The results of the analysis showed that all questionnaire items were valid (p <0.05) and the reliability reached 0.87. The results of multiple linear regression showed a calculated R value of 0.84, while the R table at α = 0.05 was 0.30. Thus, the hypothesis is accepted because the calculated R> R table. The R² value of 0.71 indicates that 71% of the variation in school performance can be explained by the six independent variables. The F test produces a significance value of 0.000, which confirms that the regression model is significant at the α = 0.05 level. The t test shows that all independent variables have a p value <0.05, indicating a significant effect both partially and simultaneously on school performance. This study is compared with three previous relevant studies, namely research by Sri Langgeng Ratna Sari (2020), which discusses the effect of leadership on motivation; Rahman (2021), which examines the impact of work culture on performance; and Putri (2022), which investigates the relationship between teacher welfare and school performance. These findings show consistency in the results related to the influence of managerial factors on educational performance.
Co-Authors Albert Efendi Pohan Canas Rodrigues, Paulo Dedi Rosadi Enita, Enita fadillah, indah Gusnidar Hamjah Ila Rosmilawati Lukman Nul Hakim Mega Heriyanto Muhammad Aknil Sefano Muhammad Muhajir, Muhammad Nurhajati Hakim Oktania, Sella Pepi Novianti Rahmi, Hafiza Saputra, Rizky Armei Sara Serlina Aulia Sri Langgeng Ratnasari Teguh Budi Prasetyo Yulianti, Via