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All Journal Jurnal Teknik Elektro JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Nasional Komputasi dan Teknologi Informasi Journal of Computer Science and Informatics Engineering (J-Cosine) Jurnal Pengabdian Magister Pendidikan IPA KOMPUTEK EXPLORE Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro Jurnal Mnemonic Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) TIN: TERAPAN INFORMATIKA NUSANTARA ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Prosiding Konferensi Nasional PKM-CSR Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Fidelity : Jurnal Teknik Elektro Jurnal Informatika Teknologi dan Sains (Jinteks) EXPLORE Jurnal Bakti Nusa Jurnal Pepadu
A. Sjamsjiar Rachman
Universitas Mataram
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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The Implementation of Deep Learning Method for Disease Detection in Tomato Plants Based on Leaf Images via Web Putra, Chaeru Rachmadi; Rachman, Amang Sjamsjiar; Suksmadana, I Made Budi
Fidelity : Jurnal Teknik Elektro Vol 7 No 1 (2025): Edition for January 2025
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v7i1.269

Abstract

Agriculture plays a vital role in supporting the economy. Optimally and wisely managed agricultural development can encourage sustainable economic growth and equity. One example is tomato production, which has great potential to be developed. In 2021, the production of tomatoes in all Indonesian provinces reached a total of 1,114,401 tons. However, tomato production often decreases due to disease attacks on plants. Therefore, this research aimed to identify plant diseases by utilizing deep learning methods applied to web applications, so that they can be easily accessed by farmers. Its use only requires uploading images of plants to be identified into the web application. Based on the results of training and testing conducted at Google Collaboratory using two model architectures, the findings highlight that VGG16 and DenseNet121, the DenseNet121 architecture provides higher accuracy reaching 100%, while VGG16 reaches 98.58%. In addition, in web application implementation and testing with primary data, the DenseNet121 model also showed high accuracy of 92%.
Implementasi Vascular Connect, Platform Terpadu untuk Telekonsultasi dalam Kesehatan Kardiovaskular Rafli, Muhammad; Rachman, A. Sjamsjiar
KOMPUTEK Vol. 8 No. 2 (2024): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v8i2.2998

Abstract

Layanan kesehatan kardiovaskular yang optimal di wilayah pedesaan sering kali terbatas akibat kurangnya akses terhadap tenaga medis spesialis dan infrastruktur kesehatan yang memadai. Penelitian ini bertujuan untuk mengatasi masalah tersebut melalui implementasi Vascular Connect, sebuah platform terpadu yang dirancang khusus untuk telekonsultasi kesehatan kardiovaskular. Platform ini diharapkan mampu meningkatkan aksesibilitas layanan medis dan memberikan solusi praktis bagi masyarakat di daerah terpencil. Metode yang digunakan dalam penelitian ini meliputi pengembangan aplikasi berbasis web dan mobile dengan fitur-fitur utama seperti konsultasi langsung dengan dokter spesialis, pemantauan kesehatan jarak jauh, serta integrasi dengan data rekam medis elektronik. Proses pengembangan mengikuti pendekatan User-Centered Design (UCD) untuk memastikan aplikasi memenuhi kebutuhan dan preferensi pengguna. Hasil penelitian menunjukkan bahwa Vascular Connect berhasil meningkatkan akses layanan kesehatan kardiovaskular, dengan respon positif dari pengguna terkait kemudahan penggunaan dan efisiensi waktu. Platform implementasi ini diharapkan dapat menjadi model yang dapat diterapkan di wilayah pedesaan lainnya
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.
IMPLEMENTASI INTERNET OF THINGS (IoT) DALAM SISTEM IRIGASI TETES CERDAS: PROGRAM PELATIHAN DI SMK PP NEGERI MATARAM Budiman, Djul Fikry; Misbahuddin, Misbahuddin; Iqbal, M. Syamsu; Rachman, A. Sjamsjiar; Akbar, Lalu Ahmad S. Irfan
Jurnal Abdi Insani Vol 11 No 4 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i4.2005

Abstract

Indonesia as an agricultural country has quite large agricultural potential and can contribute to the national economy. As an agricultural country, it means that the majority of the population in Indonesia depends on the agricultural sector for their livelihood. One of the government's calls to improve the performance of the agricultural sector is to encourage the younger generation, especially those at the Vocational High School (SMK) level, to get to know, study, and apply IoT products to support the Smart Farming concept. This call has encountered obstacles caused by SMK PP teachers, especially those who have competencies in food crop agribusiness, horticulture, plantations and seeds who do not understand agricultural technology. To overcome these obstacles, it is necessary to hold training and introduction to IoT-based technology that is implemented in the agricultural sector. The training provided begins with the concept of smart drip irrigation using IoT which is utilized in hydroponic plants. In the process of manually controlling water, farmers use watering time intervals without paying attention to soil moisture so that water supply is inefficient. With Internet Of Things (IoT) technology, automation of watering can be carried out so that the expected soil moisture can be maintained, without excessive water waste. The training was conducted by giving a lecture on the implementation of IoT in smart drip irrigation, followed by the introduction and assembly of IoT-based smart drip irrigation modules. The training conducted has provided new knowledge and understanding for students and teachers of SMK PP Negeri Mataram about the importance of technology such as IoT in managing agriculture. They hope that training like this can be continued and is expected to become one of the subjects in the SMK PP Negeri Mataram curriculum.
PEMANFAATAN RUNNING TEXT SEBAGAI ALAT BANTU INFORMASI WAKTU SHOLAT DI MASJID YAYASAN DARUL HIKMAH LOMBOK TENGAH Akbar, L. Ahmad S. Irfan; Iqbal, Muhamad Syamsu; Budiman, Djul Fikry; Rachman, A. Sjamsjiar; Wiriasto, Giri Wahyu; ., Sinarep
Jurnal Bakti Nusa Vol. 2 No. 1 (2021): JURNAL BAKTI NUSA
Publisher : Jurusan Teknik Elektro Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/baktinusa.v2i1.10

Abstract

Penampil waktu yang menandakan informasi masuknya waktu sholat sering dijumpai di masjid-masjid sebagai tempat peribadatan Umat Islam, pada umumnya penampil informasi ini sudah memakai jadwal sholat digital. Namun sering ditemukan waktu sholat yang tertampil tidaklah diperuntukkan untuk daerah tersebut, sehingga kadang mempunyai selisih waktu yang cukup jauh dengan awal waktu sholat sesungguhnya. Penelitian pengabdian ini membuat penampil jadwal shalat digital yang mengacu pada jadwal yang dikeluarkan oleh badan hisab Kementerian Agama Republik Indonesia (KEMENAG). Menggunakan metode look-up tabel agar mendapatkan jadwal waktu shalat yang lebih akurat. Perangkat keras yang dibangun berbasis mikrokontroller dan menanamkan jadwal waktu shalat ke dalam EEPROM dan akan ditampilkan melalui 7-segment. Tampilan pada 7-segment berupa Jam, Menit, Tanggal, Bulan, Tahun, Shubuh, Dzuhur, Ashar, Maghrib dan Isya dengan jumlah ukuran LED Dot Matrix jenis P10 sebanyak 2 panel. Perangkat keras kemudian diberi kemampuan berkomunikasi dengan smart phone berbasis android melalui media bluetooth. Hasil yang didapatkan adalah kecepatan dalam mendapatkan data waktu sholat yang sesuai dengan lokasi dan keakuratan yang sesuai dengan sumber data jadwal sholat yang digunakan
Rancang Bangun Sistem Monitoring Daftar Kehadiran Karyawan Berbasis Fingerprint dengan Metode Prototyping Danistian, Angga; Darmawan, Budi; Rachman, A. Sjamsjiar
TIN: Terapan Informatika Nusantara Vol 5 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i1.5345

Abstract

Employee attendance issues are a significant concern in many organizations, particularly regarding fraudulent practices such as proxy attendance and data inaccuracies. Conventional attendance systems relying on signatures or ID cards are often ineffective in preventing these frauds. To address this issue, this study developed a fingerprint-based attendance system integrated with a database and website. The primary objective of this system is to facilitate the attendance recapitulation process, eliminate proxy attendance, and enhance employee awareness and discipline. This system uses fingerprint technology to ensure that each employee is physically present at the time of attendance, thereby improving the accuracy and reliability of attendance data. The research method used is experimental, involving the development of hardware and software with various interconnected components. The results show that this system not only simplifies attendance recapitulation but is also effective in preventing fraud, increasing employee awareness and discipline, and ensuring data security accessible only by the admin. Thus, the fingerprint-based attendance system proves to be an effective solution in addressing attendance issues in the workplace.
Sosialisasi Smart-ICows Aplikasi Sistem Pengenalan Individu Sapi Ternak pada Kelompok Koperasi Ternak Sapi di Lombok Timur Wiriasto, Giri Wahyu; Misbahuddin, Misbahuddin; Iqbal, Muhamad Syamsu; Rachman, A Sjamsjiar; Akbar, L A Syamsul Irfan; Zamroni, Sulthon
Jurnal Pepadu Vol 5 No 3 (2024): Jurnal PEPADU
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v5i3.5891

Abstract

Secara umum kebutuhan pangan hewani sebagian besar masih ditopang dari produksi daging sapi. Data sensus masih belum menggambarkan situasi nyata jumlah yang sebenarnya sehingga selisih proyeksi data sensus masih belum menggambarkan tingkat ketersediaan secara pasti. Pada tingkat peternak telah diupayakan oleh stakeholder penggunaan penanda qrcode yang dipasangkan pada telinga sapi sebagai metode identifikasi individu. Sekilas hasil pengamatan di lapangan menunjukkan bahwa penggunaan metode ini memiliki keterbatasan, terutama terkait dengan kelemahan dalam redundansi data dan validasi registrasi individu sapi baru. Terdapat potensi kesalahan saat nomor identitas sapi tertukar antara peternakan dan tempat penjualan ternak. Kesalahan lainnya tidak terpantaunya jumlah sapi yang telah masuk pada rumah potong sehingga secara sensus masih tetap terhitung. Selain itu pada domain penggemukan, diperlukan pencatatan riwayat perawatan. Oleh karena itu, diperlukan sistem yang dapat mendukung peternakan sapi berbasis teknologi. Pada tahap awal, solusi sistem yang kami tawarkan adalah sistem identifikasi biometrik cerdas atau smart ICows yang terintegrasi pada peternakan sapi khususnya pemilik ternak. Sistem ini berupa aplikasi berbasis android terpasang pada perangkat smartphone yang dimiliki setiap pemilik ternak. Sistem ini berperan sebagai alat identifikasi yang nantinya dapat terhubung pada sistem basisdata rekam-jejak pemuliaan sapi ternak. Proses identifikasi ini menggunakan image moncong atau muzzle sapi. Dalam kegiatan pengabdian pada masyarakat ini, kami ingin menguji hasil pengembangan sistem identifikasi sapi ternak dengan tingkat akurasi 83%.
Forecasting Produksi Energi Photovoltaic Menggunakan Algoritma Random Forest Classification Febtiawan, Ergi Putra; Akbar, Lalu A. Syamsul Irfan; Rachman, A Sjamsjiar
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5514

Abstract

Solar energy is one of the most affordable energy sources and a clean and friendly renewable energy source in the world. Solar energy, which is abundant throughout the world, can be an energy source that is economical to implement. Due to its advantages, the use of solar energy continues to increase throughout the year. One way to convert solar energy into electrical energy is to use a Photovoltaic (PV) or PV Module device. The PV module used as a study is located in the PLN PLTS 7 MWp in Sengkol village. The PV module used as a study is located in the PLN PLTS 7 MWp in Sengkol village. PV energy production forecasting is carried out to assist in managing planning and knowing PV energy production based on meteorological data in an area where PV equipment has not been installed with a user interface in the form of a website. Machine learning is a technique that allows machines to learn directly from examples, data and experience. In contrast to traditional programming approaches where machines are given commands one by one, machine learning can make its own decisions on a problem after it "learns" from the examples or data provided. This research attempts to forecast the energy production produced by photovoltaic devices using the Random Forest Classification algorithm, which is a classification algorithm from machine learning, so that the overall performance results of this modeling are obtained for the data provided. This algorithm works by collecting predictions from a large number of independent decision trees, and then combining these predictions to produce a more accurate and stable final result by involving the use of historical data about temperature, solar radiation, solar radiation, and other environmental characteristics to predict the amount of energy produced by the photovoltaic system at a certain time, so that the overall performance results of this model are obtained for the data provided. The model built was evaluated using a confusion matrix and the results showed that this algorithm achieved an accuracy level of 96%. These results indicate that Random Forest Classification is an effective and reliable method for forecasting photovoltaic energy production.
STUDI PENGEMBANGAN APLIKASI MEDIA PEMBELAJARAN ANATOMI SKELETAL PADA VIRTUAL REALITY MENGGUNAKAN RAPID APPLICATION DEVELOPMENT Wiriasto, Giri Wahyu; Misbahuddin; Rachman, A. Sjamsjiar; Harahap, Ida Lestari; Akbar, L. Syamsul Irfan; Iqbal, M. Syamsu; Fikriansyah, Muhamad
Jurnal Penelitian Pendidikan IPA Vol 10 No 8 (2024): August
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i8.8722

Abstract

The use of innovative multimedia technology continues to evolve and has now become a primary technology tool in education. Currently, the utilization of virtual reality (VR) technology is being used as an immersive medium for learning, especially in the field of medicine. Immersive technology is presented in 3D visualization, approaching real and relevant objects in medical education as an alternative to traditional teaching aids such as cadavers. In this research, an exploration of the VR environment was conducted in a case study of the skeletal system using 3D skull bone objects. The exploration involved tasks such as preparing the 3D skull bone object data assets in the 3D development environment, exporting data assets to the 3D-VR environment, and configuring aspects related to visualization and object control based on visual C#. So far, documentation of the 3D-VR application development environment and the trial results of the case study object development on the Unity platform have been produced. Additionally, documentation of the interface design application using Rapid Application Development (RAD) has also been generated. The Android-based VR application has functioned well in accommodating the skull object, designed with 3 layers of the skeletal system adjusted to their respective depths. The skull consists of 22 components, including cranium.
Pemanfaatan Biogas untuk Mendukung Penerangan Mandiri Berbasis Energi Terbarukan di Rumah Qur’an Sembalun Rosmaliati, Rosmaliati; Kanata, Bulkis; Yadnya, Made Sutha; Zainuddin, Abdullah; Rachman, A. Sjamsjiar; Paniran, Paniran; Akbar, Lalu Muhamad Roviq; Suharyadi, Farhan Ahmad
Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat) Vol 5 No 6 (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.v5i6.1363

Abstract

Keterbatasan pasokan listrik dan ketergantungan pada energi fosil menjadi permasalahan utama yang dihadapi masyarakat di Rumah Qur’an Sembalun. Kondisi ini mendorong perlunya pengembangan sumber energi alternatif yang ramah lingkungan dan berkelanjutan. Kegiatan pengabdian ini bertujuan untuk memanfaatkan biogas sebagai sumber energi listrik mandiri melalui penerapan sistem digester dan penampungan plastik berkapasitas 8 m³ yang terhubung dengan generator berkapasitas 700 watt. Metode pelaksanaan meliputi pengolahan limbah kotoran sapi dalam digester, penyaluran biogas ke penampungan, dan pengujian kinerja generator dalam menyalakan lampu LED hemat energi. Hasil pengujian menunjukkan bahwa sistem biogas mampu menghasilkan daya listrik antara 8 hingga 58 watt, dengan lama nyala total mencapai 60 menit. Daya rata-rata yang dihasilkan sebesar 15,28 watt dibandingkan daya nominal 15 watt, sehingga diperoleh efisiensi konversi energi sebesar 98,13%. Kegiatan ini membuktikan bahwa penerapan biogas berbasis penampungan plastik berkapasitas 8 m³ efektif untuk mendukung penerangan mandiri, sekaligus memberikan manfaat tambahan berupa pengelolaan limbah ternak dan pengurangan emisi gas rumah kaca, yang berkontribusi terhadap upaya kemandirian energi dan keberlanjutan lingkungan di wilayah pedesaan.
Co-Authors ., Sinarep Akbar, L A Syamsul Irfan Akbar, L. Ahmad S. Irfan Akbar, L. Syamsul Irfan Akbar, Lalu A. Syamsul Irfan Akbar, Lalu Ahmad S. Irfan Akbar, Lalu Muhamad Roviq Budi Darmawan Bulkis Kanata Danistian, Angga Derajat, Dirga Dama Dianda, Nandita Djul Fikry Budiman, Djul Fikry Febtiawan, Ergi Putra Fikriansyah, Muhamad Fikriansyah, Muhammad Gamantyo Hendrantoro Giri Wahyu Wiriasto Harahap, Ida Lestari Hartawan, Bagi I Made Budi Suksmadana I Nengah Suhartawan Ida Rofaida Iqbal, M. Syamsu Irfan A, L Ahmad Syamsul Irfan Akbar, L. Ahmad Syamsul Jurnal Pepadu Karya Gunawan Khusnul Mar'iyah L. Syamsul Irfan Akbar L.A.S. Irfan Akbar L.A.Syamsul Irfan Akbar Lalu Imam Adiguna Rinjani M. Irwan M. Irwan, M. Irwan M. Rifqi Made Sutha Yadnya Majdi, Shafwatul Misbahuddin Misbahuddin Misbahuddin Misbahuddin, Misbahuddin Muhamad Syamsu Iqbal Paniran Paniran Putra, Chaeru Rachmadi Rafli, Muhammad Ramdani, M. Rosmaliati, Rosmaliati RR. Ella Evrita Hestiandari Sandy Febrian R Suharyadi, Farhan Ahmad Suksmadana, I Made Budi Syafaruddin Syafaruddin Wicaksono, Eko Prasetyo Wirawan Wirawan Zainuddin, Abdullah Zamroni, Sulthon