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Bulkis Kanata
Universitas Mataram
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Optimasi Penyaluran Bantuan Langsung Tunai Menggunakan Algoritma K-Nearest Neighbor di Desa Penedagador Rosyida, Amrina; Kanata, Bulkis; Ramadhani, Cipta
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 2 (2025): JPTI - Februari 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.742

Abstract

Kemiskinan merupakan salah satu tantangan terbesar yang masih terus dihadapi semua bangsa termasuk Indonesia. Sesuai amanat konstitusi dalam pasal 34 UUD 1945, pemerintah terus berupaya melindungi dan memberdayakan masyarakat miskin melalui berbagai program strategis. Salah satu program yang ditawarkan pemerintah yaitu Bantuan Langsung Tunai. Tetapi karna ketersediaan sssdata sasaran masyarakat miskin yang kurang sesuai, menyebabkan program berjalan kurang optimal karena perlu verifikasi dan validasi ulang. Distribusi Bantuan Langsung Tunai (BLT) di Indonesia masih menghadapi kendala akibat ketidaktepatan data penerima, yang menyebabkan inefisiensi dalam penyalurannya. Kesalahan dalam data sasaran mengharuskan adanya proses verifikasi dan validasi ulang, sehingga menghambat efektivitas program. Penelitian ini bertujuan untuk mengoptimalkan penyaluran BLT dengan menerapkan metode klasifikasi K-Nearest Neighbor (KNN). Penelitian ini bertujuan untuk mengoptimalkan penyaluran BLT menggunakan pendekatan K-Nearest Neighbor, dengan 714 dataset dan empat atribut yaitu kondisi rumah, penghasilan, pekerjaan dan jumlah keluarga. Prinsip kerja KNN adalah mencari jarak terdekat antara data baru yang akan diuji dengan data latihnya. Untuk mencari jarak terdekat digunakan euclidean distance dengan 3 nilai k yang berbeda yaitu k=35, k=45, dan k=55. Hasil yang didapatkan untuk akurasi, presisi dan recall yang tertinggi yaitu menggunakan parameter k=35 memberikan performa terbaik  dengan nilai akurasi sebesar, 95%, presisi sebesar 95% dan recall sebesar 100%. Penerapan metode ini diharapkan dapat meningkatkan efisiensi distribusi BLT dengan memastikan bahwa bantuan tepat sasaran, sehingga mendukung kebijakan pengentasan kemiskinan secara lebih efektif.
Prototipe Smart Mosque System Untuk Persiapan Sarana Sebelum Waktu Shalat Berbasis IoT Kafrawi, Achmad Evin; Ch, Syafaruddin; Kanata, Bulkis
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.6116

Abstract

The advancement of technology in the modern era has driven the development of innovations that facilitate human activities, one of which is through the concept of the Internet of Things (IoT). This research aims to develop a smart mosque prototype based on IoT to prepare facilities before prayer times. The issue faced by several mosques is the lack of a permanent caretaker, which often leads to delays in preparing for worship, such as filling the ablution water or playing the Quran recitation before the call to prayer, as well as the management of facilities like lighting and fans that are not well controlled. The proposed solution in this research utilizes the NodeMCU ESP32 microcontroller, an ultrasonic sensor to detect the water tank capacity to ensure water is available, a DFPlayer Mini to automatically play the Quran recitation before the call to prayer, the MyQur’an API to retrieve prayer times, and the NTP (Network Time Protocol) server to synchronize the system time accurately. Additionally, the Blynk application is used to control the facilities within the mosque. Based on the test results, this prototype system demonstrates good performance in controlling mosque facilities, automatic water filling, and timely Quran recitation playback. However, in the automatic water filling, there is a limitation regarding the high filling threshold, where water overflows at 90% and 95% levels. The DS1307 RTC system has also proven capable of synchronizing time accurately with the prayer schedule from the MyQur’an API, with minimal time difference.
Inovasi Pengelolaan Biogas di Rumah Qur’an At-Tazkiyah, Sembalun Lombok Timur Kanata, Bulkis; Rosmaliati, Rosmaliati; Yadnya, Made Sutha; Zainuddin, Abdullah; Rachman, A. Sjamsjiar; Paniran, Paniran; Suharyadi, Farhan Ahmad; Derajat, Dirga Dama; Majdi, Shafwatul; Ramdani, M.
Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat) Vol 5 No 3 (2025): Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakamitra.v5i3.976

Abstract

Krisis energi dan dampak lingkungan akibat penggunaan bahan bakar fosil mendorong pencarian solusi energi terbarukan yang ramah lingkungan. Pengabdian ini bertujuan memanfaatkan biogas sebagai alternatif energi di Rumah Qur'an At-Tazkiyah, Sembalun, Lombok Timur. Sistem monitoring tekanan dan laju aliran biogas dirancang dan diimplementasikan untuk memantau kinerja sistem secara real-time. Alat monitoring yang terintegrasi dengan platform Blynk memungkinkan pengambilan data setiap menit, memberikan gambaran mengenai performa sistem. Hasil pantauan menunjukkan bahwa tekanan biogas mengalami tren penurunan, sedangkan massa dan laju aliran biogas menunjukkan variasi yang dipengaruhi oleh ketersediaan bahan baku, terutama kotoran sapi. Laju aliran yang relatif rendah dapat mengakibatkan efisiensi pembakaran yang kurang optimal dan meningkatkan emisi karbon. Kesimpulan dari pengabdian ini menegaskan bahwa meskipun terdapat tantangan dalam pengelolaan biogas, penerapan teknologi monitoring yang efektif dapat meningkatkan kinerja sistem dan membantu dalam pengambilan keputusan yang lebih baik. Rekomendasi untuk perbaikan sistem diharapkan dapat meningkatkan efisiensi produksi biogas, menyediakan sumber energi yang berkelanjutan, serta memberikan kontribusi pada pengurangan biaya operasional dan keberlanjutan lingkungan di masyarakat.
PROGRAM PEMENUHAN ENERGI DI RUMAH QUR’AN SEMBALUN DESA SEMBALUN BUMBUNG, KECAMATAN SEMBALUN, KABUPATEN LOMBOK TIMUR Yadnya, Made Sutha; Ramadhani, Cipta; Zubaidah, Teti; Kanata, Bulkis; Rosmaliati, Rosmaliati
Jurnal Pepadu Vol 6 No 1 (2025): Jurnal Pepadu
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v6i1.6977

Abstract

Sembalun Bumbung Village, East Lombok, faces the problem of river pollution due to the disposal of livestock manure and garbage, which on the other hand has great potential to be processed into biogas as an economical, environmentally friendly, and sustainable alternative energy. This program aims to design and implement a biogas system at Rumah Qur'an At-Tazkiyyah Sembalun, a boarding school that is also a center for community empowerment, to meet energy needs while reducing environmental pollution. The methods used include training and assistance to students and the community about biogas processing, starting from organic waste fermentation, the use of fermented gas for cooking and electricity, to the use of residual waste as organic fertilizer, as well as education on livestock care and waste management to support the sustainability of the program. Expected outputs include the production of renewable energy in the form of biogas for cooking and electricity, reduction of waste that pollutes the environment, increasing public awareness about waste management, and creating a cleaner and healthier environment. Keyword : livestock manure; garbage; energy; biogas; organic fertilizer
PROGRAM PEMETAAN LAHAN KRITIS DENGAN REMOTE SENSING UNTUK KEWASPADAAN BAJIR DAN TANAH LONGSOR AKIBAT PERUBAHAN FUNGSI LAHAN DI DAERAH MANDALIKA Yadnya, Made Sutha; Kanata, Bulkis; Zainuddin, Abdullah; Paniran, Paniran; Ramadhani, Cipta; Rosmaliati , Rosmaliati
Jurnal Pepadu Vol 5 No 2 (2024): Jurnal PEPADU
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v5i2.4047

Abstract

Lecturers' empathy in implementing the Tri Dharma of Higher Education is to provide community service against the dangers of landslides by changing the function of land from hills to landfill. Mataram University has an observatory in Rembitan, part of the Geomagnetic Science and Technology Excellence Center (PUI), which measures the earth's magnetism with the nTesla (Nano Tesla) earth magnetic unit. The measurement results show an anomaly (a decrease in the earth's magnetic value. This is a precursor to an earthquake. Sade and Rembitan villages are one area that must be protected and provide knowledge about the dangers of floods and landslides due to extreme weather. The process of using remote sensing with photos air. The results have been obtained from several disaster-prone points. The women's group in Sade Village has agreed to create a reforestation group to mitigate disasters.
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.
PROGRAM PEMENUHAN ENERGI DI RUMAH QUR’AN SEMBALUN DESA SEMBALUN BUMBUNG, KECAMATAN SEMBALUN, KABUPATEN LOMBOK TIMUR Yadnya, Made Sutha; Ramadhani, Cipta; Zubaidah, Teti; Kanata, Bulkis; Rosmaliati, Rosmaliati
Jurnal Pepadu Vol 6 No 1 (2025): Jurnal Pepadu
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v6i1.6977

Abstract

Sembalun Bumbung Village, East Lombok, faces the problem of river pollution due to the disposal of livestock manure and garbage, which on the other hand has great potential to be processed into biogas as an economical, environmentally friendly, and sustainable alternative energy. This program aims to design and implement a biogas system at Rumah Qur'an At-Tazkiyyah Sembalun, a boarding school that is also a center for community empowerment, to meet energy needs while reducing environmental pollution. The methods used include training and assistance to students and the community about biogas processing, starting from organic waste fermentation, the use of fermented gas for cooking and electricity, to the use of residual waste as organic fertilizer, as well as education on livestock care and waste management to support the sustainability of the program. Expected outputs include the production of renewable energy in the form of biogas for cooking and electricity, reduction of waste that pollutes the environment, increasing public awareness about waste management, and creating a cleaner and healthier environment. Keyword : livestock manure; garbage; energy; biogas; organic fertilizer
The Klasifikasi Suara Paru-Paru Menggunakan Mel Frequency Cepstral Coefficient dan Convolutional Neural Network Halim, Sayyidis Syariful; Kanata, Bulkis; Akbar, Syamsul Irfan
Jurnal Bumigora Information Technology (BITe) Vol. 6 No. 2 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v6i2.4487

Abstract

Background: Challenges in diagnosing respiratory disorders are often caused by the lack of technological tools capable of accurately recognizing lung sound patterns, thereby reducing the potential for subjective misdiagnosis by medical personnel. Objective: This study aims to develop a lung sound classification model that is able to detect respiratory disorders early and accurately. Methods: The method used includes a combination of data augmentation techniques and Mel Frequency Cepstral Coefficient (MFCC) feature extraction to improve the performance of Convolutional Neural Network (CNN) in classifying lung sounds. A total of 1,350 lung audio recordings were categorized into nine classes, including normal and abnormal sounds. The augmentation techniques applied include the addition of white noise, pitch scaling, time stretching, and random gain to enrich the variety of training data. Result: The results show that the E-CNN2D model is able to achieve an accuracy of up to 95%, surpassing the previous model, which had an accuracy range of 83-93%. Conclusion: With these results, this study has the potential to be a fast and accurate diagnostic tool solution so that it can support medical personnel in reducing the risk of subjective misdiagnosis in respiratory disorders.
Recognizing Cow Muzzle Patterns using the Convolution Neural Network (CNN) Algorithm Zamroni, Sulthon; Wiriasto, Giri Wahyu; Kanata, Bulkis
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i6.4598

Abstract

In today's digital era, any task or problem can be solved with minimal effort, especially in livestock identification such as cattle. Numerous systems and algorithms have been developed to recognize cattle, ranging from body shape, fur patterns, to specific parts of the cattle. This research aims to develop a cattle muzzle identification system using convolutional neural networks method with Alexnet architecture and to identify the factors that can decrease the accuracy of prediction results. The results of this research can help cattle farmers manage their livestock data more effectively, as traditional identification methods can cause discomfort and stress to the cattle. This research also serves as a reference for future researchers in developing cattle recognition research. Additionally, this research can be used to support insurance programs such as Cattle Farming Insurance (AUTS) to protect farmers from losses due to cattle theft and death. Cattle recognition through their muzzles using the CNN method can produce relatively high results. By slightly modifying the AlexNet architecture, this system can recognize cattle with an accuracy of 85%..
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 Kanata, Bulkis; Rosmaliati; Zubaidah, Teti; Yadnya, Made Sutha; Zainuddin, Abdullah; Ratnasari, Dwi; Fitratunnisa, Nur; Akbar, Muhammad Fajrin
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.
Co-Authors A. Sjamsjiar Rachman Akbar, L. Ahmad Syamsul Irfan Akbar, Lalu A. Syamsul Irfan Akbar, Lalu Muhamad Roviq Akbar, Muhammad Fajrin Akbar, Syamsul Irfan Akhdan, M. Rafif Anis Arrafi, Muhammad Aryoso, Galih Dimas Budi Irmawati Cipta Ramadhani Derajat, Dirga Dama Dwi Ratnasari Fitratunnisa, Nur Giri Wahyu Wiriasto Halim, Sayyidis Syariful I Gede Pasek Suta Wijaya Ida Ayu Putu Sri Widnyani IGP Suta Wijaya Indira Puteri Kinasih Kafrawi, Achmad Evin Made Sutha Yadnya Majdi, Shafwatul Misbahuddin Oni, Muhammad Paniran Paniran Ramdani, Cipta Ramdani, M. Rosmaliati Rosmaliati , Rosmaliati Rosmaliati, Rosmaliati Rosyida, Amrina Setiawan, Didin Suharyadi, Farhan Ahmad Suriakin, Maulana Susanto, Oki Prio Syafaruddin Ch Teti Zubaidah Utomo, Rizqi D. C. Zahidin, Ilham Zainuddin, Abdullah Zamroni, Sulthon