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Risiko Bencana Kebakaran Hutan dan Lahan Gambut di Kabupaten Kubu Raya, Provinsi Kalimantan Barat Dwiki Muharrama; Widjonarko Widjonarko
Teknik PWK (Perencanaan Wilayah Kota) Vol 12, No 2 (2023): Mei 2023
Publisher : Jurusan Perencanaan Wilayah dan Kota

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/tpwk.2023.32816

Abstract

Data laporan kasus Kebakaran hutan dan lahan dari publikasi Badan Penanggulangan Bencana (BPBD) Kabupaten Kubu Raya menunjukkan bahwa sepanjang tahun 2015 hingga tahun 2019 telah terjadi sebanyak total 342 kasus kebakaran hutan dan lahan. Rata-rata total kasus karhutla mencapai 60 kasus pertahun yang tersebar pada beberapa lokasi di kecamatan yang berbeda-beda. Wilayah Kabupaten Kubu Raya dilalui bentangan Sungai Kapuas yang bercabang-cabang serta memiliki karakteristik dataran rendah dengan sebaran jenis tanah gambut yang luas dan jenis lahan didominasi lahan hutan dan kawasan perkebunan sawit. Karakteristik geografis tersebut membuat pembangunan menjadi sulit dan memengaruhi kualitas penanggulangan karhutla hingga beberapa kali kasus karhutla tidak dapat ditangani karena sulitnya akses pada sebagian wilayah. Penelitian ini bertujuan untuk mengetahui distribusi spasial tingkat risiko bencana kebakaran hutan dan lahan.Untuk mencapai tujuan tersebut penelitian ini menggunakan metode analisis spasial untuk mengkaji masing-masing variabel ancaman, kerentanan, serta kapasitas penganggulangan karhutla. Hasil yang didapatkan menunjukkan bahwa tingkat risiko karhutla didominasi kategori risiko rendah dengan rasio 44,60%. Akan tetapi, terdapat beberapa temuan pada pengkajian variabel karhutla yang menjadi penyebab kondisi risiko karhutla menjadi tinggi seperti sebaran jenis tanah gambut serta kurang meratanya cakupan pelayanan fasilitas penanggulangan karhutla.
The Economic Impact of the Road Infrastructure Utilization and the Consumption of Electrical Energy in the Kedungsepur Urban Area Widjonarko, Widjonarko; Ul Fikri, Auliya
Jurnal Teknik Sipil dan Perencanaan Vol 25, No 2 (2023)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jtsp.v25i2.42617

Abstract

Kedungsepur is a national urban area located in the northern region of Java Island, comprising of six autonomous regions: Semarang City as the principal urban center, along with Kendal Regency, Semarang Regency, Salatiga City, Grobogan Regency, and Demak Regency as supporting areas. Kedungsepur holds significant economic importance in Central Java, contributing approximately 24% to the total Gross Regional Domestic Product (GRDP) over the past two decades. To strengthen Kedungsepur 's role in the regional economy, the government has invested in infrastructure, aiming to bolster the overall economy in Central Java, particularly in the northern region. Therefore, it is important to assess the economic impact of providing infrastructure in the Kedungsepur area to determine the extent to which infrastructure contributes to the regional economy. To measure the economic impact of infrastructure in Kedungsepur, this research uses a regression model with panel data and uses GRDP data as the dependent variable, and infrastructure utilization, especially road utilization and electricity consumption as independent variables. To ensure that regional economic growth in Kedungsepur is influenced by the existence of infrastructure, this research also uses household consumption data as a control variable. The research results show that regional economic growth in Kedungsepur is not only influenced by infrastructure utilization, but also household consumption. Among these, road usage emerges as the primary contributor to the economic growth of the Kedungsepur region, surpassing the impact of electricity consumption and household spending
Solar-powered seawater desalination: A contribution to provide energy-efficient clean water Widjonarko, Widjonarko; Aditya Rahardi, Gamma; Rudiyanto, Bayu; Ishamul Ayady Akma, Ahmad; Ahmed Mohammed Ate, Abdelrahim
Borobudur Engineering Review Vol 3 No 1 (2023): Industrial Technology Support
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/benr.9042

Abstract

This study focuses on developing a prototype for a seawater desalination system powered by solarpanel. The desalination process is heated by a solar collector and 150 WP solar panel. The primaryobjective is to design, develop, and evaluate the prototype's efficacy, affordability, and scalability.The efficiency was measured by the quantity of freshwater produced per unit of solar energy. Ofthe three distillation tests, it was determined that the addition of a heater enhanced theperformance of the system. However, the overall efficiency was limited due to the solar panel andcollector's low heat output. A positive correlation was observed between irradiance andtemperature, but incomplete evaporation indicated the need for additional research to optimizethe process. The system consisted of a solar collector, a heater, and a distillation apparatus. Threedistillation tests revealed that the addition of a heater improved the system's performance,resulting in a maximum achievable efficiency of 0.99% and the production of 16 ml of fresh water.This study demonstrates the potential for renewable energy sources to power seawaterdesalination and lays the groundwork for future sustainable desalination technologies despite itslimitations.
Control energy management system for photovoltaic with bidirectional converter using deep neural network Widjonarko, Widjonarko; Utomo, Wahyu Mulyo; Omar, Saodah; Baskara, Fatah Ridha; Rosyadi, Marwan
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i2.pp1437-1447

Abstract

Rapid population growth propels technological advancement, heightening electricity demand. Obsolete fossil fuel-based power facilities necessitate alternative energy sources. Photovoltaic (PV) energy relies on weather conditions, posing challenges for constant energy consumption. This hybrid energy source system (HESS) prototype employs extreme learning machine (ELM) power management to oversee PV, fossil fuel, and battery sources. ELM optimally selects power sources, adapting to varying conditions. A bidirectional converter (BDC) efficiently manages battery charging, discharging, and secondary power distribution. HESS ensures continuous load supply and swift response for system reliability. The optimal HESS design incorporates a single renewable source (PV), conventional energy (PNL and genset), and energy storage (battery). Supported by a BDC with over 80% efficiency in buck and boost modes, it stabilizes voltage and supplies power through flawless ELM-free logic verification. Google Colab online testing and hardware implementation with Arduino demonstrate ELM's reliability, maintaining a direct current (DC) 24 V interface voltage and ensuring its applicability for optimal HESS.
Switch mode power supply with flyback LED driver topology in public lighting systems energy supply Widjonarko, Widjonarko; Hardianto, Triwahju; Akmal, Ahmad Ishamul Ayady; Ate, Abdelrahim Ahmed Mohammed
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2328-2337

Abstract

This research aims to design a flyback topology switch-mode power supply constant voltage and constant current light emitting diode (LED) driver to improve the performance of the LED. The flyback topology is chosen for its simple design and small size and uses high-frequency switching to lower the high DC voltage from the power source. The research aims to avoid blackouts caused by a drop in the power source voltage and to produce technological products that can be developed for other lighting applications. The constant-voltage feedback system ensures that the current flowing to the LED remains stable despite changes in load or other conditions. When there is a voltage drop from the power source, this topology can maintain the voltage and current stable and in accordance with the working voltage specifications of the LEDs. According to test results, the LED driver's output voltage ranges from 18.03 to 18.06 volts with an average message error value of 0.3%. In this system, switching occurs at frequencies ranging from 18.041 Hz to 38.230 Hz. With a constant current value of 0.58 ampere, the resulting lamp's lux value is stable and does not significantly change.
Pengaruh Industri dan Harga Lahan Terhadap Alih Fungsi Lahan Pertanian Sawah di Kabupaten Demak Maulana, Faaruq; Widjonarko, Widjonarko
Teknik PWK (Perencanaan Wilayah Kota) Vol 12, No 4 (2023): November 2023
Publisher : Jurusan Perencanaan Wilayah dan Kota

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/tpwk.2023.39374

Abstract

Demand for built-up land will increase due to regional development, which is not directly proportional to the availability of land which does not change or increase. This raises several factors that have an impact on the environment, one of which is the widespread need for land for regional industrial development as a result of increasing economic growth and the continued development of an area. High demand for land will cause an increase in the value or price of land around the development area, one of which is paddy farming land. This study aims to measure the role of industrial development and increase in land prices on the conversion of paddy agricultural land. This research was conducted in Demak Regency, Central Java Province. This research was carried out with a quantitative approach using multiple linear regression by collecting data through document review and literature review related to the factors influencing the conversion of agricultural land functions such as industry and land prices. From the overall analysis, industrial development and an increase in land prices play a role or effect by 30.8% on the conversion of paddy fields in Demak Regency, while 69.2% are influenced by other variables outside the regression equation. Based on the results of this study, industrial development and increasing land prices have a less significant role or influence on the conversion of paddy fields in Demak Regency. This is because there are several other aspects that underlie the conversion of paddy fields in Demak Regency, such as economic, social and physical aspects of nature.
Preferensi Masyarakat dalam Penggunaan BRT yang Adaptif Pandemi Sugiyarto, Anis Meilitasari; Widjonarko, Widjonarko
Teknik PWK (Perencanaan Wilayah Kota) Vol 13, No 3 (2024): Agustus 2024
Publisher : Jurusan Perencanaan Wilayah dan Kota

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/tpwk.2024.41114

Abstract

The Bawen-Tawang Bus Rapid Transit (BRT) is urban public transportation in Central Java that experienced a decline in passengers due to the 2020–2021 pandemic. The risk of the new pathogen disease X creating a negative pandemic for public transportation is because it is transmitted through the air and physical contact. This research aims to measure the preferences of the pandemic-adaptive Bawen-Tawang BRT based on stated preferences. Data collection was carried out using a questionnaire survey of eight service scenarios for 100 users using non-probability accidental techniques and quantitative descriptive analysis, including descriptive statistics, logistic regression, and binomial logit models. The results show that there is a change in the preferences of Bawen-Tawang BRT users if the BRT service becomes pandemic-adaptive. The most preferred scenario is service 6 by 94.34% of respondents and scenario 2 by 93.12%, which is 1.22% different due to differences in subsidized rates for service 2. Both services are in accordance with user characteristics. 79% have never had respiratory illnesses, 44% are quite worried about pandemics, rates are not important for 48% of users, and 42% are willing to pay according to the new policy. Safety assurance influenced preferences 4,305 times and adaptive services 4,039 times.
Productivity Improvement of Oyster Mushroom Cultivation by Utilizing Temperature Control on Baglog Steamer in Industrial Farming Area: Peningkatan Produktivitas Budidaya Jamur Tiram dengan Pemanfaatan Kontrol Suhu pada Steamer Baglog di Daerah Pertanian Industrial Laagu, Muh Asnoer; Vivi, Vivi Nur’anini Sutimi; Gamma , Gamma Aditya Rahardi; Wahyu, Wahyu Muldayani; Widyono, Widyono Hadi; Widjonarko, Widjonarko
CONSEN: Indonesian Journal of Community Services and Engagement Vol. 4 No. 1 (2024): Consen: Indonesian Journal of Community Services and Engagement
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/consen.v4i1.1030

Abstract

Indonesia adalah negara beriklim tropis dengan 2 musim yang memiliki kelebihan tanah subur sehingga menjadi faktor dalam bidang pertanian. Keanekaragaman hayati menjadi potensi besar dalam kesejahteran manusia salah satunya yaitu budidaya ragam jenis jamur. Jamur memiliki nilai ekonomis yang tinggi namun dalam proses budidanya masih tergolong sulit. Budidaya yang dilakukan masih menggunakan alat konvensional sehingga dalam proses produksi masih berlangsung lama dan sulit. Penelitian ini bertujuan untuk membangun sistem kerja steamer baglog jamur hitam dengan metode fuzzy untuk mengontrol suhu. Sistem yang dibuat dengan mengatur besar kecillnya api agar segera mencapai suhu ideal yang 100? dan mempertahankan suhu tersebut hinngga mencapai waktu yang ditentukan. Penggunaan stremaer baglog jamur menggunakan metode fuzzy sangat efektif dalam proses sterilisasi baglog dimana eror yang dihasilkan sebesar 0,02% tanpa terjadi overshoot dan mampu meminimalisir bahan bakar. Sehingga pertumbuhan miesselium bibit jamur menggunkan steamer baglog dengan metode fuzzy memiliki bobot lebih besar dalam waktu pertumbuhan 4 minggu yakni sebesar 1,9 ons. Implementasi dari alat ini merupakan bagian dari kegitan pengabdian masyarakat dilakukan pada kelompok petani jamur di Kab. Jember.
Desain Dan Implementasi Sistem Tracking Dual Axis Panel Surya 50wp Untuk Optimalisasi Daya Widjonarko, Widjonarko; Asnoer Laagu, Muh.; Nur Fauzi, Ahmad
Jurnal FORTECH Vol. 5 No. 2 (2024): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v5i2.5206

Abstract

Dengan perkembangan teknologi yang pesat, kebutuhan akan sumber energi alternatif semakin mendesak karena keterbatasan bahan bakar fosil. Energi matahari menjadi salah satu solusi potensial karena sifatnya yang melimpah, efisien, dan ramah lingkungan. Panel surya, yang mengubah energi matahari menjadi listrik, masih memiliki efisiensi rendah, sehingga perlu teknologi yang dapat meningkatkan kinerjanya. Penelitian ini bertujuan untuk mendesain dan mengimplementasikan sistem tracking dual axis pada panel surya 50 Wp, guna membandingkan daya dan efisiensi yang dihasilkan dengan sistem non-tracking. Penelitian dilakukan melalui dua tahapan, yaitu perancangan sistem dan pengujian. Pada sistem tracking, panel surya dilengkapi sensor cahaya yang mengarahkan panel mengikuti posisi matahari secara optimal. Hasil penelitian menunjukkan bahwa panel dengan sistem tracking menghasilkan daya rata-rata 4,28 Watt, lebih besar dibandingkan panel statis yang hanya 3,91 Watt. Efisiensi panel tracking juga lebih tinggi, dengan rata-rata 17,19%, dibandingkan efisiensi panel statis sebesar 14,27%. Ini membuktikan bahwa sistem tracking dual axis lebih efektif dalam meningkatkan kinerja panel surya, menghasilkan daya dan efisiensi yang lebih tinggi dibandingkan sistem statis
Pengenalan Pola Sinyal Electromyography (EMG) pada Gerakan Jari Tangan Kanan MULDAYANI, WAHYU; IMRON, ARIZAL MUJIBTAMALA NANDA; ANAM, KHAIRUL; SUMARDI, SUMARDI; WIDJONARKO, WIDJONARKO; FITRI, ZILVANHISNA EMKA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 8, No 3: Published September 2020
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v8i3.591

Abstract

ABSTRAKSinyal EMG merupakan salah satu sinyal yang dapat digunakan untuk memberikan perintah pada kursi roda listrik. Sinyal EMG yang digunakan diambil dari sinyal otot fleksor dan ekstensor yang berada di tangan kanan. Sinyal tersebut diambil menggunakan sensor Myo Armband. Klasifikasi sinyal EMG diambil dari pergerakan jari yang mewakili perintah gerak yaitu jari kelingking untuk bergerak maju, jari manis untuk berhenti, jari tengah untuk belok kanan dan jari telunjuk untuk belok kiri. Setiap sinyal EMG diekstraksi fitur untuk menentukan karakteristik sinyal sehingga fitur yang diperoleh adalah Average Absolute Value, Root Mean Square, Simple Integral Square, EMG Simple Variant and Integrated EMG. Kemudian fitur tersebut digunakan sebagai input dari metode klasifikasi Artificial Neural Network Backpropagation. Jumlah data latih yang digunakan adalah 800 data sedangkan data uji yang digunakan adalah 200 data. Tingkat keberhasilan proses klasifikasi ini sebesar 93%.Kata kunci: electromyogram, artificial neural network, klasifikasi sinyal, tangan kanan, Myo Armband. ABSTRACTEMG signal is one of the signals that can be used to give orders to electric wheelchairs. The EMG signal used is taken from the flexor and extensor muscle signals in the right hand. The signal is taken using the Myo Armband sensor. The EMG signal classification is taken from the movement of the finger which represents the command of motion ie the little finger to move forward, ring finger to stop, middle finger to turn right and index finger to turn left. Each EMG signal is extracted features to determine the signal characteristics so that the features obtained are Average Absolute Value, Root Mean Square, Simple Integral Square, EMG Simple Variant and Integrated EMG. Then the feature is used as input from the Backpropagation classification method. The amount of training data used is 800 data while the test data used is 200 data. The success rate of this classification process is 93%.Keywords: electromyogram, artificial neural network, signal classification, right hand, Myo Armband.