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Sosialisasi Pemanfaatan Jaringan Listrik untuk Komunikasi Data kWh-meter di SMKN 1 Lingsar I Made Ari Nrartha; Sudi Mariyanto Al Sasongko; Sultan Sultan; Agung Budi Muljono; I Made Ginarsa
JURNAL KARYA PENGABDIAN Vol 2, No 1 (2020): April, Jurnal Karya Pengabdian
Publisher : Universitas Mataram

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Abstract

SMKN 1 Lingsar mempunyai kompetensi bidang keahlian Teknik Energi Terbarukan (TET) dan Teknik Komputer, Jaringan, dan Informatika (TKJI). Kompetensi tersebut didukung oleh lokasi sekolah yang dekat sumber energi terbarukan dan pusat kota Mataram. SMKN 1 Lingsar mempunyai pembangkit mikrohidro dengan kapasitas 3000 VA sebagai laboratorium lapangan. Produksi listrik pembangkit tersebut tidak pernah tercatat karena ketidaktersediaan kWh-meter dan petugas yang bertanggung-jawab untuk itu. Inovasi pemanfaatan jaringan listrik sebagai media untuk komunikasi antara kWh-meter ke server, perlu disosialisasikan untuk mensinergikan kompetensi TET dan TKJI. Sosialisasi mengenai teknik pemanfaaatan jaringan listrik untuk komunikasi data dan desain kWh-meter untuk kebutuhan tersebut. Hasil sosialisasi menunjukkan, peserta sangat antusias mengikuti acara sosialisasi, dan adanya tambahan pengetahuan baru bagi peserta tentang komunikasi data dan desain kWh-meter. Hasil evaluasi, pihak sekolah mendukung untuk diadakan kegiatan lanjutan berupa pelatihan dengan memberikan tim PKM surat kesediaan kerjasama untuk usulan proposal PKM tahun pendanaan 2020.
Pemberdayaan Masyarakat Desa Tumpak Kecamatan Pujut Lombok Tengah Melalui Pelatihan Uji Kelayakan Instalasi Listrik Agung Budi Muljono; Nrartha I Made; Sultan Sultan; Ginarsa I Made; Adnyani Ida Ayu Sri; Paniran Paniran; Yadnya Made Sutha; Sasongko Sudi Mariyanto Al
Jurnal Gema Ngabdi Vol. 5 No. 1 (2023): JURNAL GEMA NGABDI
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jgn.v5i1.313

Abstract

The increasing demand for electrical energy, especially in the household sector, requires the use of electrical equipment with electrical installations that meet the safety standard criteria according to SNI: 0225 (PUIL 2011). Electrical energy provides great benefits for human life, but it is also a threat to human life. This can happen if you do not comply with the standards for installing and using electrical installation equipment in accordance with SNI: 0225 (PUIL 2011) and Minister of Energy and Mineral Resources No. 045 of 2005, as well as behavior that is not wise and proper in using electrical equipment. As one of the villages in the KEK Mandalika area, Tumpak village has the potential to develop eco-friendly tourism, so it is necessary to prepare human resources with knowledge of electrical installations. Through community empowerment activities there has been an increase in the ability of participants in terms of theory and practice of the electrical installation feasibility test with an average value of 58.998 to 81.98 or an average increase of 38.95%.
PELATIHAN PERENCANAAN DAN PEMASANGAN INSTALASI LISTRIK YANG AMAN BERDASARKAN PUIL 2011 (SNI 0225:2011) UNTUK BANGUNAN BAGI MASYARAKAT DESA JELANTIK, KECAMATAN JONGGAT, KABUPATEN LOMBOK TENGAH Sultan Sultan; Sudi Mariyanto Al Sasongko; I Made Ari Nrartha; Bulkis Kanata; I Made Ginarsa; Agung Budi Mulyono
Jurnal Bakti Nusa Vol. 4 No. 1 (2023): JURNAL BAKTI NUSA
Publisher : Jurusan Teknik Elektro Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/baktinusa.v4i1.90

Abstract

Desa Jelantik merupakan salah satu desa dari 13 desa yang ada dikecamatan Jonggat, Kabupaten Lombok Tengah  berpenduduk 10.393 Jiwa. Masyarakat desa Jelantik  berpendidikan masih rendah yaitu sebagian besar hanya tamat SD, SMP dan SMA, dan mereka tidak memiliki keterampilan untuk mendapatkan pebekerjaan, sehingga desa Jelantik dijadikan mitra untuk dilaksanakan pelatihan.  Perekonomian masyarakat Desa Jelantik masih tergolong rendah, dengan mata pencaharian mereka adalah sebagai petani dan buruh tani. Melalui kegiatan pengabdian kepada masyarakat, Akademisi dari Univesitas Mataram memberikan pelatihan bidang kelistrikan kepada masyarakat Desa Jelantik khususnya pemuda  putus sekolah, sehingga dengan bekal keterampilan yang diperoleh dari pelatihan tersebut mereka memperoleh kesempatan atau peluang untuk mendapatkan pekerjaan dan penghasilan terutama untuk diri sendiri. Kegiatan pelatihan perencanaan dan pemasangan instalasi listrik untuk bangunan yang telah  dilaksanakan di Desa Jelantik, Kecamatan Jonggat, Kabupaten Lombok Tengah, hampir 100%  peserta  merasakan manfaat dan menginginkan pelatihan kembali yang dilaksanakan secara periodik. Demikian pula setelah mengikuti pelatihan, sebanyak 77% peserta menyatakan instalasi rumah mereka tidak aman (tidak memenuhi standar menurut SNI-PUIL 2011).
Mangosteen Flesh Condition Detector Based on Microwave Non-destructive Technique Using Spiral Resonator Sensor’s Cahyo Mustiko Okta Muvianto; Muhammad Afrizal G. Rasyda; Suthami Ariessaputra; Kurniawan Yuniarto; Sudi Mariyanto Al Sasongko; Budi Darmawan; Syafaruddin Ch
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (822.664 KB) | DOI: 10.17529/jre.v18i1.23761

Abstract

The mangosteen fruit has a characteristic thick skin, so it is difficult to know the condition of the flesh. Farmer can only know damage to the fruit flesh after the fruit skin had opened. Detection of the quality of the mangosteen flesh can be detected using a sensor capable of penetrating the thickness of the mangosteen rind. Flesh quality detection is carried out based on the S21 value (attenuation of mangosteen flesh value) using a portable device equipped with a sensor and capable of emitting microwaves. The S21 value of the fruit's flesh was measured using a spiral resonator that functioned as a sensor. The prototype device consists of an oscillator circuit, a power splitter, and a phase detector with 2507 MHz. Fruit flesh had divided into two conditions: damaged for fruit flesh with yellow sap or Translucent Flesh Disorder, and suitable condition for clean fruit flesh. The results showed that the fruit flesh had an average S21 value of 7.041 dB for damaged flesh and 6.007 dB for good flesh condition. The difference in the value of S21 had used as a reference for detecting the shape of the fruit flesh, with the detection threshold calculated by the Support Vector Machine, resulting in a threshold value of 6.712 dB.
Analisis Quality Of Service (QOS) Jaringan Outdoor 4G di Perumahan Royal Madinah Kabupaten Lombok Barat dengan Metode Drive Test Muhammad Fajri; Suthami Ariessaputra; Abdullah Zainuddin; Sudi Mariyanto Al Sasongko; Cahyo Mustiko Okta Muvianto
JEITECH (JOURNAL OF ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY) Vol. 1 No. 1 (2023): JUNI 2023
Publisher : Depertment of Electrical Engineering University of Mataram

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Abstract

Humans need access to information through cellular technology to support their activities, and will continue to increase with the times. This condition forces cellular service providers to continue to innovate to maintain quality to meet the various needs of their users, including in residential areas. Cellular service quality in housing can be determined using Quality of service (QoS) measurements, one of which is the Royal Medina housing complex in West Lombok Regency. The measurements of Quality of service values and signal level values are using the Wireshark and G-Nettrack Pro applications. In addition, measurements use the drive-test method. Based on the THIPON standard, the outdoor measurement results show that the throughput value is in a bad category, while the delay value is in the medium and bad category.
RANCANG BANGUN SISTEM MONITORING DAN KONTROL BUDIDAYA JAMUR TIRAM BERBASIS INTERNET OF THINGS (IoT) Suthami Ariessaputra; Indra Sastra; Sudi Mariyanto Al Sasongko
JEITECH (JOURNAL OF ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY) Vol. 1 No. 2 (2023): Edisi Oktober 2023
Publisher : Depertment of Electrical Engineering University of Mataram

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Abstract

Technology in agriculture continues to develop along with human needs. IoT technology has also been applied in agriculture, including oyster mushroom cultivation. Mushroom cultivation must pay attention to several aspects, among others: environment, temperature, and humidity during the maintenance period. The temperature in the barn must be maintained in the range of 25°C-30°C. The optimum air humidity required is between 70%RH and 90%RH. Mushroom farmers usually use existing experience in cultivating and developing oyster mushrooms. Changes in the barn can change suddenly, so it is necessary to observe the environmental conditions of the mushrooms regularly so that the mushrooms can develop optimally. So, it is necessary to build a system that can control humidity and temperature in mushroom cultivation. The system uses IoT-based technology to monitor the temperature and humidity in the mushroom-growing media with certainty so that mushroom growth becomes more optimal. The monitoring and temperature control system in oyster mushroom cultivation can run well while maintaining the temperature at 27.9% and humidity at 90.10% and can be displayed on the LCD Display.
Classification of Lombok Songket and Sasambo Batik Motifs Using the Convolution Neural Network (CNN) Algorithm Suthami Ariessaputra; Viviana Herlita Vidiasari; Sudi Mariyanto Al Sasongko; Budi Darmawan; Sabar Nababan
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1386

Abstract

Sasambo batik is a traditional batik from the West Nusa Tenggara province. Sasambo itself is an abbreviation of three tribes, namely the Sasak (sa) in the Lombok Islands, the Samawa (sam), and the Mbojo (bo) tribes in Sumbawa Island. Classification of batik motifs can use image processing technology, one of which is the Convolution Neural Network (CNN) algorithm. Before entering the classification process, the batik image first undergoes image resizing. After that, proceed with the operation of the convolution, pooling, and fully connected layers. The sample image of Lombok songket motifs and Sasambo batik consists of 20 songket fabric data with the same motif and color and 14 songket data with the same motif but different colors. In addition, there are 10 data points on songket fabrics with other motifs and colors. In addition, there are 5 data points on Sasambo batik fabrics with the same motif and color and 5 data points on Sasambo batik fabrics with the same motif but different colors. The training data rotates the image by 150 as many as 20 photos. Testing with motifs with the same color shows that the system's success rate is 83.85%. The highest average recognition for Sasambo batik cloth is in testing motifs with the same color for data in the database at 93.66%. The CNN modeling classification results indicate that the Sasambo batik cloth can be a reference for developing songket categorization using a website platform or the Android system.
Pelatihan Redesain Instalasi Listrik Untuk Program Konversi Kompor Gas LPG Ke Kompor Listrik Di Desa Nyurlembang Nrartha, I Made Ari; Sasongko, Sudi Mariyanto Al; Sultan, Sultan; Ginarsa, I Made; Muljono, Agung Budi; Yadnya, Made Sutha
Jurnal Gema Ngabdi Vol. 6 No. 1 (2024): JURNAL GEMA NGABDI
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jgn.v6i1.393

Abstract

The allocation of LPG gas subsidies has increased, putting a burden on state finances, while surplus electricity production is not being utilized optimally. Electrical energy can replace LPG gas by replacing the gas stove with an electric stove. This conversion requires adequate installation to ensure the safe and secure operation of the electric stove. The implementation of the conversion program must be supported by community readiness regarding standard electrical installations for electric stoves in the form of training. Training activities were carried out in Nyurlembang Village, Narmada, West Lombok, as a community service activity. This activity aims to educate and train the public about repairing and redesigning electrical installations for electric stoves. Training methods include lecture, discussion and practice methods. Before and after the activity, participants are given a written test to determine the success of the training activity. The test results show an average score before and after training of 38.33 and 66.00 for the range 0-100. These results show that the training was quite effective with an increase in participants' theoretical and practical knowledge of 27.67.
Mel Frequency Cepstral Coefficients (MFCC) Method and Multiple Adaline Neural Network Model for Speaker Identification Sasongko, Sudi Mariyanto Al; Tsaury, Shofian; Ariessaputra, Suthami; Ch, Syafaruddin
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1376

Abstract

Speech recognition technology makes human contact with the computer more accessible. There are two phases in the speaker recognition process: capturing or extracting voice features and identifying the speaker's voice pattern based on the voice characteristics of each speaker. Speakers consist of men and women. Their voices are recorded and stored in a computer database. Mel Frequency Cepstrum Coefficients (MFCC) are used at the voice extraction stage with a characteristic coefficient of 13. MFCC is based on variations in the response of the human ear's critical range to frequencies (linear and logarithmic). The sound frame is converted to Mel frequency and processed with several triangular filters to get the cepstrum coefficient. Meanwhile, at the speech pattern recognition stage, the speaker uses an artificial neural network (ANN) Madaline model (many Adaline/ which is the plural form of Adaline) to compare the test sound characteristics. The training voice's features have been inputted as training data. The Madaline Neural Network training is BFGS Quasi-Newton Backpropagation with a goal parameter of 0,0001. The results obtained from the study prove that the Madaline model of artificial neural networks is not recommended for identification research. The results showed that the database's speech recognition rate reached 61% for ten tests. The test outside the database was rejected by only 14%, and 84% refused testing outside the database with different words from the training data. The results of this model can be used as a reference for creating an Android-based real-time system.
Analisis Pengaruh Variabel Spreading Faktor Pada Sistem Ofcdm Dan Mc-Dscdma Terhadap Kinerja Bit Error Rate Sudi Mariyanto Al Sasongko
Jurnal Teknologi Elektro Vol 8 No 2 (2009): (July - December) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

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Abstract

Parameter penting yang menjadi tinjauan baik buruknya sistem komunikasi  adalah Kualitas Bit Error Rate yang kecil, penggunaan bandwidth yang efisiensi, dan penggunaan emisi daya yang efisien. MC-DSCDMA dan OFCDM merupakan bentuk transmisi multicarrier hasil kombinasi dari dua teknik radio access yaitu OFDM (Orthogonal Frequency Division Multiplexing) dan CDMA (Code Division Multiple Access). Perbedaan utama kedua sistem terletak pada teknik spreading pada sub kanal. Pada penelitian ini akan disimulasikan dan dianalisis kinerja Bit Error kedua sistem. Pengujian kinerja Bit Error Rate dilakukan pada kanal AWGN dan Non Line Of Sight (NLOS) dengan modulasi QPSK. Pengujian dilakukan dengan merubah kenaikan SNR sebesar 1 dB sampai diperoleh batas ambang BER sebesar 10 – 3 . Analisis ini didasarkan pada nilai statistik rata-rata dari hasil program simulasi model sistem yang ditinjau dengan program Matlab Simulink 7.1. Berdasarkan analisa hasil pengujian, untuk kanal AWGN dengan batas ambang BER sebesar 10 – 3 diperoleh : model OFCDM baseband memerlukan level SNR sebesar 5,86 dB dan model MC-DSCDMA baseband memerlukan level SNR sebesar 7,98 dB. Pada Kanal NLOS, model OFCDM baseband memerlukan 2,44 dB  lebih kecil dibanding model MC-DSCDMA baseband yang masing-masing sebesar 10 dB dan 12.44 dB.  
Co-Authors A.B Muljono Abddullah Zainuddin Abdullah Zainuddin Abdullah Zainuddin Agung Budi Muljono Agung Budi Muljono Agung Budi Mulyono Agung Budi Mulyono Agustira, Mislahul Ihsan Alfandi, Ahmad Nova Ananda, Selly Ariessaputra, Suthami Arjuna Surya Dharma Putra, I Made Budi Darmawan Budi Darmawan Budi Darmawan Bulkis Kanata Bulkis Kanata Cahyani, Armita Dwi Darmawan, Lalu Sukma Djul Fikry Budiman, Djul Fikry Erina Nursholihatun Erni Dwi Jayanti Eva Susanti Fahroni Ardiansyah Ginarsa I Made Halimatussakdiah Halimatussakdiah Harjian, Muhammad Rivaldi I Gede Pasek Suta W I Made Ari Nrartha I Made Ginarsa I Made Ginarsa I.M Ari Nrartha I.M Ginarsa Ida Ayu Sri Adnyani Indra Sastra Januarman Maulana Putra Kurniawan Yuniarto Kurniawan Yuniarto L. A Syamsul Irfan Akbar Lalu Alfian Wahyudi Lilhamdi, M Riki Made Sutha Yadnya Maryati Ningsih, Resthi Misbahuddin, Misbahuddin Misnawati Misnawati Muhammad Afrizal G. Rasyda Muhammad Fajri Muvianto, Cahyo Mustiko Okta Nababan, Sabar Nafisah, Mufrihatun Natsir, Abdul Noviana, Yulia Nrartha I Made Nurrizka, Siti Oktapian, Tomi Paniran Paniran Putra, I Ketut Perdana Rasyda, Muhammad Afrizal G. S. Sultan Sabar Nababan Saefurrasyid , Yusril Seniari, Ni Made Siska Yunita, Eliza Sri Agustini Yumiati Sri Wahyuni Sujiwo, Teguh Maulana sultan Sultan . Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sultan Syachrir Eka Putra1 Eka Putra Syafaruddin Ch Tohri, M. Tsaury, Shofian Utami, Sulastri Viviana Herlita Vidiasari Wahyuni, Astriana Widianty , Desi Yuliana Yuliana Fatmi Zuldiansyah, Gusti Zulkipli, Muhammad Zidane Athaya