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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi AKSIOMA Infotekmesin Indonesian Journal of Electrical Engineering and Computer Science Madani : Indonesian Journal of Civil Society
Zaenurrohman, Zaenurrohman
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Humanities Computer Science & IT Education Electrical & Electronics Engineering Mathematics Mechanical Engineering

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Efektifitas Metode Reciprocal Teaching dalam Meningkatkan Pemahaman Konsep Matematika Siswa Ulpah, Maria; Zaenurrohman, Zaenurrohman
AKSIOMA : Jurnal Matematika dan Pendidikan Matematika Vol 11, No 1 (2020): AKSIOMA: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/aks.v11i1.3749

Abstract

Pemahaman konsep matematika di SMP Negeri 2 Patikraja masih sangat rendah, terutama dalam pemahaman konsep bangun ruang. Berkaitan dengan hal ini, perlu adanya inovasi dalam penyampaian materi pembelajaran, salah satunya dengan menggunakan model pembelajaran yang mendorong peserta didik untuk lebih aktif dalam proses belajar mengajar di kelas yaitu reciprocal teaching. Penelitian ini bertujuan untuk mendeskripsikan efektifitas penggunaan model reciprocal teaching dalam meningkatkan pemahaman konsep matematika siswa SMP. Penelitian ini berjenis quasi experimen dengan menggunakan rancangan penelitian nonequivalent control group design. Adapun instrument yang digunakan untuk mengukur pemahaman konsep adalah tes yang terdiri dari soal-soal uraian. Tes diberikan sebelum dan setelah pembelajaran, lalu dianalisis dengan menggunakan n-gain. Hasil penelitian menunjukkan bahwa model pembelajaran reciprocal teaching efektif dalam meningkatkan pemahaman konsep siswa. Hal ini terlihat dari n-gain kelompok eksperimen yang berada pada kategori sedang yaitu 0.463, sedangkan rata-rata n-gain kelompok kontrol adalah 0.259 yang termasuk pada kategori rendah.Kata kunci: pemahaman konsep, reciprocal teaching, matematika.
Average Based-FTS Markov Chain Based on a Modified Frequency Density Partitioning to Predict COVID-19 in Central Java Hariyanto, Susilo; Zaenurrohman, Zaenurrohman; SRRM, Titi Udjiani
CAUCHY Vol 7, No 2 (2022): CAUCHY: Jurnal Matematika Murni dan Aplikasi (May 2022) (Issue in Progress)
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v7i2.13371

Abstract

COVID-19 is still a pandemic in Indonesia, and Central Java is no exception. New positive cases of COVID-19 in Central Java are being discovered every day. Therefore, researchers try to predict new positive cases in Central Java. Many forecasting methods are currently developing, one of which is fuzzy time series (FTS). FTS has been also developed until now, one of which is a development of the FTS by combining the Markov chain as a defuzzification process. In FTS there is no definite formula to determine the length of the interval, so the researcher uses an average based to determine the length of the interval in the FTS Markov chain. Next, the researcher repartitioned based on the modified frequency density. The results of this study are that forecasting new positive cases of COVID-19 in Central Java using the average based-FTS Markov chain based on a modified frequency density partitioning method has a good level of accuracy, this can be seen from the MAPE value of the method.
Handling missing values and clustering industrial liquid waste using K-medoids Maharrani, Ratih Hafsarah; Abda'u, Prih Diantono; Ikhtiagung, Ganjar Ndaru; Rahadi, Nur Wahyu; Zaenurrohman, Zaenurrohman
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 2: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i2.pp1411-1420

Abstract

The textile industry is a significant contributor to environmental pollution due to its wastewater, which contains hazardous substances such as dyes, heavy metals, and chemicals that can severely harm aquatic ecosystems. Effective management of this wastewater is crucial to mitigate its environmental impact. This study focuses on classifying industrial liquid waste data using the K-medoids clustering method, chosen for its robustness to noise and outliers compared to K-means. To address challenges in wastewater data processing, such as missing values and varying data scales, two approaches are compared: replacing missing values with zero and K-nearest neighbors (KNN) imputation, alongside Z-score normalization for data uniformity. The clustering quality is evaluated using the Davies-Bouldin index (DBI) for cluster variations of k=2, 3, 4, and 5. The results show that the best clustering quality is achieved at k=2, with the smallest DBI values obtained using KNN imputation (0.139) and zero replacement (0.149). The superior performance of KNN imputation highlights its effectiveness in handling missing data. These findings provide valuable insights into the characteristics of textile industry wastewater pollution, offering a robust framework for effective wastewater management. The study concludes with practical recommendations for policymakers and industry stakeholders to adopt advanced data-driven approaches for sustainable wastewater treatment strategies.
Penerapan Sistem Pembangkit Listrik Tenaga Surya Pada Alat Pembuat Pupuk Organik Cair di Desa Banjarwaru Zaenurrohman, Zaenurrohman; Susanti , Hera; Alimudin, Erna; Sumardiono, Arif; Santoso, Agus; Bahasa Indonesia
Madani : Indonesian Journal of Civil Society Vol. 7 No. 1 (2025): Madani : Februari 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/madani.v7i1.2551

Abstract

The majority of the population of Banjarwaru Village are farmers. The price of fertilizer is getting higher from time to time while farmers need fertilizer for their plants. Problems arise when fertilizer shortages often occur. In addition, the type of fertilizer used is generally a type of chemical fertilizer that is not good for the human body because the substance can be carried into the food consumed. Organic fertilizer is one option to overcome this problem. This type of fertilizer is now starting to be widely available on the market, although the price is relatively expensive. The solution to this problem is that it can be done by making organic fertilizer independently. Another factor is that there is a lot of organic waste that can be processed into liquid organic fertilizer (POC). Therefore, to create a village that is independent in fertilizer, the PKM Team aims to create an organic fertilizer maker based on a PLTS electricity source and provide training in operating the tool. The method used is by making an organic liquid fertilizer maker, socializing it to residents of Banjarwaru Village, and training and demonstrating how to operate the tool.
Rancang Bangun Kwh Meter Digital Menggunakan Internet of Things Rafi, Rio Guntur Dany; Supriyono, Supriyono; Zaenurrohman, Zaenurrohman; Purwiyanto, Purwiyanto
Infotekmesin Vol 14 No 2 (2023): Infotekmesin: Juli, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i2.1928

Abstract

In general, the kWh meter is installed in a distribution substation that supplies electrical energy to the building. The weakness of ordinary kWh meters cannot provide real information on electricity consumption. Measuring and recording the use of electrical energy still requires human power. By utilizing an internet network based on the Internet of Things (IoT) concept, this research aims to design and manufacture a digital kWh meter to monitor and control the use of electrical energy in buildings in real-time on a website. Using the website and the MYSQL-PHPMyAdmin Database as data storage. The PZEM-004T sensor is used to measure the electrical energy used, then it is processed on the Wemos D1 Mini microcontroller. From the test results that have been carried out, the digital Kwh meter has succeeded in monitoring and controlling the use of electrical energy through the website in real-time. Percentage average error value: voltage: 0.44% - 0.49%, current: 0.36%, cos phi leading: 39%, cos phi lagging: 1%, power: 0.93% - 2.68%, kWh: 16.3%, frequency: 0 %.
Pembuatan Lampu Jalan Dengan Suplai Tenaga Surya di Desa Banjarwaru, Kecamatan Nusawungu Sumardiono, Arif; Alimudin, Erna; Zaenurrohman, Zaenurrohman; Hazrina, Fadhillah; Susanti, Hera
Madani : Indonesian Journal of Civil Society Vol. 6 No. 2 (2024): Madani : Agustus 2024
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/madani.v6i2.2168

Abstract

Banjarwaru Village is located in Nusa Wungu District and has several hamlets connected to the main road as access to transportation facilities. The lack of street lighting hampers the activities of village residents, especially at night. Road points that do not have public street lighting are far from residents' homes, so they cannot use PLN electricity sources. Seeing the conditions explained above, the need for technology with energy sources that utilize renewable energy such as solar power to supply power to public street lights has been widely implemented. Making street lights with a solar power supply with the application of modern technology is the main priority in this community service activity. The main target objective of this Community Service is the Public Street Lighting Program through the manufacture of street lights with power supply from solar energy. The implementation method in this service is through observation and experiments in the field in the process of designing and manufacturing public street lights and handing over technology transfer to the community. The results of making public street lights with solar energy supply using Arduino Mega which functions to receive data from the LDR sensor and is continued with testing battery charging with solar power. The installation of the LDR sensor will help the efficiency of the lights because it will control the lights to turn on automatically. The results of the manufacture of public street lights also provided assistance and training to the Banjarwaru Village community regarding how the equipment works and the repair process if problems arise in the future.
Co-Authors Abda'u, Prih Diantono Agus Santoso Alimudin, Erna Bahasa Indonesia Hazrina, Fadhillah Hera Susanti, Hera Ikhtiagung, Ganjar Ndaru Maharrani, Ratih Hafsarah maria ulpah Purwiyanto, Purwiyanto Rafi, Rio Guntur Dany Rahadi, Nur Wahyu Sumardiono, Arif Supriyono Supriyono Susanti , Hera susilo hariyanto Titi Udjiani SRRM