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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer EMITTER International Journal of Engineering Technology Jurnal Sains Teknologi dan Lingkungan (JSTL) Jurnal Penelitian Pendidikan IPA (JPPIPA) CYCLOTRON Jurnal Pengabdian Magister Pendidikan IPA Jurnal Gema Ngabdi Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro Jurnal Dedikasi Jurnal Jaringan Telekomunikasi Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Pepadu Dharma: Jurnal Pengabdian Masyarakat Jurnal Wicara Desa
Rosmaliati, Rosmaliati
Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram
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Fault Prognosis System on Face-Mask Body Machine with Adabelief-Backpropagation Neural Network Rosmaliati Rosmaliati; Imam Wahyudi Farid; Dzulfikar Ats Tsauri
Jurnal Jaringan Telekomunikasi Vol 13 No 2 (2023): Vol. 13 No. 02 (2023) : June 2023
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v13i2.747

Abstract

Ultrasonic welding workload on vertical roller welding components on face-mask body machine in making masks has a highvibration of up to 20kHz. This high vibration causes the locking bolt to loosen the serrations, thus causing a greater failure of function, such as wear and tear on the teeth. If this function fails, it will cause downtime and high costs in the waiting process for the cleat component to be remanufactured. The damage prognosis system based on the condition of this machine implements a Classification of types of damage along with recommendations for maintenance activities that need to be carried out on the Face-Mask Body Machine. Classification of the type of damage to this system using There is a Belief-Backpropagation Neural Network (BPNN), a method for looking for weight settings on a neural network based on the error rate obtained in the previous iteration. This method is optimized using AdaBelief, which can adapt the step size based on the "confidence" of the previous gradient to get Convergence rates and generalization abilities better so that these types of problems can be known from the vibration signal of the machine which previously the signal was parsed using wavelet packet decomposition into frequency bands to obtain component data with low or high frequency. From the results of system performance testing, the modeling accuracy is 98.4%, so this system can be declared good and feasible to use in slack detection of vertical roller welding cleat fixing bolts.
Biogas untuk Menghasilkan Energi Listrik Paniran; rosmaliati; Abdul Natsir
DIELEKTRIKA Vol 10 No 2 (2023): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v10i2.355

Abstract

Biogas is a methane gas produced from the fermentation of organic matter by anaerobic bacteria. Utilization of biogas as an energy source can be done by burning biogas directly, and indirectly by converting it into electrical energy. Biogas-fueled electric energy potential to be developed in the NTB area. The fundamental reason is: the government program "Earth One Million Cows" which is supposed to happen in 2013, rising prices of petroleum fuel and the scarcity of inorganic fertilizers. To realize the above research activities, will do the following steps: 1) Development of fixed-dome digester with a size of 8 m3, 2) the charging of organic materials in the digester to produce biogas, 3) perform gas reservoirs in the media that has been prepared, 4) integrate system are made, 5) test and measurement under load conditions. Test results on Biogas Power Plant in the laboratory EBT of the Engineering Faculty of Mataram Universit, with 8m3 digester produces biogas production at the effective time of 2.152 m3/day. Consumption of biogas to the generator at 200watt load is 0.133 m3 / 15, or the conversion of biogas into electricity coefficient is 2.4 m3/kwh. Production of biogas a day if converted to a 200Watt power burden to last about 4 hours.
Unraveling the Seismic Signal Anomaly at Mount Rinjani Station: In-Depth Exploration with the Detrended Fluctuation (DFA) Analysis Method in Connection with the 2018 Big Earthquake on Lombok Island, West Nusa Tenggara Bulkis Kanata; Rosmaliati; Teti Zubaidah; Made Sutha Yadnya; Abdullah Zainuddin; Dwi Ratnasari; Nur Fitratunnisa; Muhammad Fajrin Akbar
Jurnal Penelitian Pendidikan IPA Vol 10 No 1 (2024): January
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i1.6263

Abstract

We analyzed the seismic signals of the Mount Rinjani station to identify possible seismic anomalies before a series of major earthquakes on Lombok Island in 2018. We observe anomalies before earthquake events Mw >= 5.90. This research applies the detrended fluctuation analysis (DFA) method to investigate possible earthquake precursors associated with the analyzed earthquake. The results showed a relationship between scaling seismic signals (α) that exceeds the threshold of α values during the analysis period, and there is a deviation of the root mean square fluctuations in the corresponding scaling that should be rising but constant. The value of α with constant root mean square fluctuations occurs one to three days before the preliminary earthquake Mw 6.40 (28/07/2018) UTC and eight to 10 days before the main earthquake Mw 6.90 (05/08/2018). The Mw 6.90 earthquake had the most magnitude and could significantly contribute to the appearance of seismic anomalies.
Tingkat Pengetahuan Masyarakat Tentang Pemanfaatan Sampah Rumah Tangga Menjadi Energi Terbarukan Biogas di Desa Sembalun Bumbung, Provinsi NTB Tania Tri Rosyantita; Intan Qurratun A'yunin; Geby Harlia Tri Putri; Rosmaliati
Jurnal Pengabdian Magister Pendidikan IPA Vol 7 No 3 (2024): Juli - September
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v7i3.7876

Abstract

The village of Sembalun Bumbung is one of the villages with the widest geographical area in the Sembalun District, East Lombok Regency, West Nusa Tenggara Province covering 15 hamlets. The significant number of hamlets and residents in the village poses a serious issue, namely, the problem of waste. The absence of temporary disposal sites and distant final disposal sites prompts the people of Sembalun Bumbung to dispose of their waste into the river. Socialization and education efforts are conducted among the community to encourage the separation of organic and inorganic waste and utilize them as a source of renewable energy, such as biogas from household waste (SRT) like vegetable scraps, leaves, and food leftovers. Biogas processing is carried out using simple digester tools. Socialization and education are implemented by bringing in speakers. Socialization involves distributing knowledge questionnaires to 25 respondents, which are then analyzed using Microsoft Excel and SPSS version 20. The results of the questionnaire analysis, using the Paired Simple Test method, yielded a value of 0.000 (<0.05). The conducted socialization and education have been successful in enhancing the community's knowledge regarding biogas and the separation of organic and inorganic waste.
PENGATURAN POLA BEBAN LISTRIK DENGAN SUPLAI DARI SISTEM PEMBANGKIT HIBRIDA FOTOVOLTAIK-BIOGAS Asror, Hazinatul; Rosmaliati, Rosmaliati; Natsir, Abdul
DIELEKTRIKA Vol 1 No 1 (2014): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (100.109 KB)

Abstract

Sistem fotovoltaik dan sistem biogas telah dibangun di Laboratorium Energi Barudan Terbarukan Fakultas Teknik Universitas Mataram. Kedua sistem tersebut akan digabungkan menjadi sistem hibrida untuk menentukan pola implementasi, kapasitas dan kinerja sistem pada kelompok bebanyang terdiri dari kelompok desa dan kelompok kota.Kelompok desa terdiri dari kelompok pendapatan rendah, kelompok pendapatan menengah, dan kelompok pendapatan atas, sedangkan kelompok kota terdiri dari kelompok pendapatan rendah dan kelompok pendapatan menengah.Penelitian ini menggunakan baterai sebagai penyimpanan energi, inverter untuk mengubah DCmenjadi AC, dan beban AC yang dibutuhkan masing-masing kelompok berdasarkan data survey. Hasil penelitian menunjukkan bahwa, biogas dengan kapasitas digester 8m3 dibutuhkan oleh semua kelompok. Untuk mengatasi kekurangan energi yang dihasilkan oleh biogas, kelompok desa pendapatan menengah, kelompok desa pendapatan atas, kelompok kota pendapatan rendah dan kelompok kota pendapatan menengah, membutuhkan fotovoltaik kapasitas 65 Wp dengan jumlah masing-masing panel 2, 5, 2, dan 8. Kapasitas baterai yang dibutuhkan masing-masing kelompok beban adalah 22,6Ah, 81,73Ah, 151,83Ah, 83Ah, dan 262,63Ah. Kinerja sistem hibrida fotovoltaik-biogas dipengaruhi oleh cuaca, meskipun produksi biogas cenderung tetap, tetapi kapasitas arus yang dihasilkan oleh fotovoltaik tergantung dari radiasi matahari yang diterima
ECONOMIC DISPATCH MENGGUNAKAN IMPERIALIST COMPETITIVE ALGORITHM (ICA) PADA SISTEM KELISTRIKAN LOMBOK Hazi, Khaerul; Rosmaliati, Rosmaliati; Misbahuddin, Misbahuddin
DIELEKTRIKA Vol 1 No 1 (2014): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (250.365 KB)

Abstract

Penelitian ini membahas tentang optimalisasi pada sisi pembangkit untuk pemilihan daya yang dibangkitkan pada masing – masing generator dengan tujuan untuk mendapatkan biaya yang ekonomis khususnya pada Sistem Kelistrikan Lombok, tentunya dengan memperhatikan daya beban dan losses. Economic Dispatch (ED) menggunakan metode Imperialist Competitive Algorithm (ICA) ini dapat menghasilkan kombinasi daya pembangkitan dan biaya termurah dengan perlakuan Parameter ICA optimasi ED Kelistrikan Lombok dengan kombinasi country = 150 dan imperialist = 5, koefisien asimilasi β = 1.5 dan koefisien revolusi = 0.3. Biaya total pembangkitan yang dihasilkan oleh metode Imperialist Competitive Algoritma sebesar 72.881.839 Rp/jam lebih kecil dibandingkan dengan metode Algoritma Genetika (GA) sebesar 73.230.930 Rp/jam sehingga dengan menggunakan kombinasi daya pembangkitan metode ICA dapat menghemat biaya sebesar 349.090 Rp/jam dibandingan dengan metode GA.
The Electrical Energy Demand Forecasting Analysis in the Province of West Nusa Tenggara: Analisis Peramalan Kebutuhan Energi Listrik di Wilayah Provinsi Nusa Tenggara Barat Sevyanto, Yusril Bagas; Rosmaliati, Rosmaliati; Muljono, Agung Budi
DIELEKTRIKA Vol 9 No 2 (2022): DIELEKTRIKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v9i2.303

Abstract

Energi listrik dari waktu ke waktu mengalami peningkatan tidak dapat dipastikan. Hal ini menjadi masalah apabila tidak diperkirakan, pihak penyedia dalam hal ini PT. PLN harus mampu menyediakan pasokan energi listrik yang sesuai dengan porsinya dan tidak melebihi batas. Sehingga diperlukan teknik peramalan untuk memprediksikan kebutuhan energi listrik di masa depan. Pada penelitian ini proyeksi peramalan dilakukan untuk Wilayah Provinsi Nusa Tenggara Barat dengan menggunakan beberapa metode yaitu metode kuadrat terkecil, kuadrat terbesar, eksponensial, ekonometri analisis regresi linier sederhana dan berganda serta proyeksi ekonometri dengan perangkat lunak LEAP. Didapatkan hasil peramalan konsumsi energi pada metode kuadrat terkecil dengan rata-rata pertumbuhan sebesar 5,32%, metode kuadrat terbesar dengan rata-rata pertumbuhan 4,55% per tahun, metode eksponensial dengan rata-rata pertumbuhan sebesar 12,99% dan proyeksi ekonometri dengan rata-rata pertumbuhan sebesar 2,77 %. Berdasarkan nilai MAPE (Mean Absolute Percentage Error) metode ekonometri dengan proyeksi LEAP memiliki nilai MAPE yang paling rendah dengan nilai rata-rata 0,0016%.
Perubahan Fungsi Lahan Untuk Status Rawan Bencana Dengan Remote Sensing Di Daerah Mandalika: Changes in Land Function for Disaster Prone Status Using Remote Sensing in the Mandalika Area Yadnya, Made Sutha; Kanata, Bulkis; Zainuddin, Abdullah; Paniran, Paniran; Ramadhani, Cipta; Rosmaliati, Rosmaliati
Jurnal Pepadu Vol 5 No 4 (2024): Jurnal PEPADU
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v5i4.5952

Abstract

Masalah utama Desa Tangguh Bencana (Destana)  di Desa Penyanggaya Sirkuit Madalika adalah bahaya tanah longsor akibat kemiringan tanah yang terjal,  masyarakat harus tahu kalau potensi tanah longsor dan menghidari pembuatan pemukiman akibat hujan atau gempa yang membuat retakan tanah. Situasi yang berbahaya tanah longsor dengan perubahan fungsi lahan dari perbukitan menjadi tanah urug. Universitas Mataram memiliki obsevatorium di Rembitan bagian dari Pusat Unggulan Iptek (PUI) Geomagnetik mengukur magnet bumi dengan satuan magnet bumi nTesla (Nano Tesla). Hasil pengukuran terjadi anomali (penurunan nilai magnet bumi. Ini merupakan precursor akan terjadinya gempa. Desa Sade dan Rembitan merupakan satu kawasan yang menjadi satu kesatuan yang harus dijaga dan memberikan pengetahuan akan bahaya banjir dan tanah longsor akibat cuaca ekstrim. Proses menggunaka remote sensing dengan foto udara. Hal hasil telah didapatkan bebarapa titik rawan bencana.
PEMBUATAN TEH HERBAL DARI DAUN KELOR (Moringa oleifera) UNTUK MENINGKATKAN KESEHATAN TUBUH Hakim, Muhamad Shaufil; Sari, Ainayya Amalia; Al Aqad, Yuniar Rizki Rahmawati; Amara, Nadya; Putri, Aida Musyarrifah Hasri; Putra, Muhammad Septian Dwi; Sani, Nabila Aulia; Khaerunnisa, Khaerunnisa; Darmawan, Adi; Susanto, Oki Novian; Rosmaliati, Rosmaliati
Jurnal Wicara Vol 1 No 5 (2023): Jurnal Wicara Desa
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/wicara.v1i4.3396

Abstract

Moringa is a type of plant that belongs to the Moringaceae family. This plant is also known as (Moringa oleifera). Moringa has many uses and has long been used by various cultures because various parts of this plant have high nutritional value and health properties that are considered beneficial. Some parts of the Moringa plant that are commonly used are the leaves, fruit, flowers, seeds, and roots. Moringa (Moringa Oleifera) originates from India and Arabia and then spreads to various regions. years, and withstand extreme heat conditions. This plant comes from tropical and subtropical regions of South Asia. In Indonesia, Moringa trees are widely planted as living fences, planted along fields or on the edges of rice fields, functioning as green plants. In addition, the Moringa plant is also known as a nutritious medicinal plant by utilizing all parts of the Moringa plant, starting from the leaves, bark, seeds, to the roots. This plant has been studied for its health benefits, has antifungal, antioxidant, antibacterial, anti-inflammatory, diuretic, and as a hepatoprotector. According to Folid, Moringa leaves can be consumed as a vegetable, consumed in the form of Moringa leaf tea, flour, powder or Moringa leaf capsules. Moringa leaf tea is a caffeine-free herbal tea which is very good for health and has a pretty good taste. Moringa leaf tea contains many nutrients that can increase the body's metabolism. Tea is a drink prepared by soaking the leaves or certain parts of the tea plant (Camellia sinensis) in hot water. This tea plant is the main source for various types of tea known throughout the world. There are several main types of tea that are produced from the Camellia sinensis tea plant, and these differences are mainly derived from the processing of the tea leaves.
PEMANFAATAN ECOBRICK SEBAGAI MEDIA KREATIVITAS DI KELURAHAN TANJUNG, KOTA BIMA Agustiansyah, Muhammad Rizki; Rousanfikr, Sava Arcadia; Maulinda, Ade Azahra; Hening, Beta Tiva Ratu; Putri, Andi Nirmala; Az-Zahra, Annisa; Azmi, Muhammad; Puspita, Intan Imda; Hamdani, Muhammad Ananda Rizki; Rosmaliati, Rosmaliati
Jurnal Wicara Vol 2 No 6 (2024): Jurnal Wicara Desa
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/wicara.v2i6.5628

Abstract

The problem of plastic waste is a serious issue in Indonesia, especially in Tanjung Village, Bima City, where waste management is still less than optimal. One solution implemented is the use of Ecobrick, a plastic waste management technique by filling used bottles with plastic until they are solid and hard. This program involves socialization and training at SDN 29 Tanjung and SMPN 13 Bima City, where students are taught how to process plastic waste into products with economic value such as furniture. The results of this program show that Ecobrick is effective in reducing the volume of plastic waste while increasing public awareness of the importance of waste management. The use of Ecobrick not only helps maintain environmental cleanliness but also provides economic benefits and has the potential to reduce negative environmental impacts such as coastal abrasion. It is hoped that this program can be the first step in forming new habits in the community related to waste management.
Co-Authors A'yunin, Intan Qurratun A. Sjamsjiar Rachman Abdul Natsir Abdulah Zainuddin Abdullah Zainuddin Abdullah Zainuddin Abdullah Zainuddin Adi Darmawan Agung Budi Muljono Agus Indra Gunawan Agustiansyah, Muhammad Rizki Al Aqad, Yuniar Rizki Rahmawati Amara, Nadya Ardyono Priyadi Asror, Hazinatul Ayu Ahadi Ningrum Az-Zahra, Annisa Bernandus Anggo Seno Aji Bulkis Kanata Bulkis Kanata Bulkis Kanata Bulkis Kanata Cipta Ramadhani Derajat, Dirga Dama Dwi Ratnasari Dwi Ratnasari Dzulfikar Ats Tsauri Edi Satriyanto Eka Meilia Suryanti Geby Harlia Tri Putri Hakim, Muhamad Shaufil Hamdani, Muhammad Ananda Rizki Hazi, Khaerul Hening, Beta Tiva Ratu Ida Ayu Sri Adnyani Ida Bagus Fery Citarsa Ilmiatul Masfufiah Imam Wahyudi Farid Intan Qurratun A&#039;yunin Isa Hafidz iwan Syarif Jurnal Pepadu Kenya Damayanti Priyatna Khaerunnisa Khaerunnisa, Khaerunnisa Lalu Muhamad Irfan Made Sutha Yadnya Majdi, Shafwatul Maulinda, Ade Azahra Mauridhi Hery Purnomo Misbahuddin, Misbahuddin Misbahul Munir Muhammad Azmi, Muhammad Muhammad Fajrin Akbar Nababan, Sabar Natsir, Abdul Ni Luh Sinar Ayu Ratna Dewi Ni Made Seniari Ni Made Seniari Novie Elok Setiawati Nur Fitratunnisa Paniran Paniran Puspita, Intan Imda Putra, Muhammad Septian Dwi Putri, Aida Musyarrifah Hasri Putri, Andi Nirmala Ramdani, M. Rosyantita, Tania Tri Rousanfikr, Sava Arcadia Sabar Nababan Sani, Nabila Aulia Sari, Ainayya Amalia Sevyanto, Yusril Bagas Sudi Maryanto Al Sasongko Suharyadi, Farhan Ahmad Supriyatna Supriyatna Susanto, Oki Novian Tania Tri Rosyantita Teti Zubaidah Teti Zubaidah Teti Zubaidah Teti Zubaidah Tri Putri, Geby Harlia Trisna Wati Yeni Rahmawati, Yeni Zainuddin, Abdullah