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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
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.
Analisis DC Losses pada PLTS 7 MWP Menggunakan Simulasi Software PVSYST Khusnul Mar'iyah; A. Sjamsjiar Rachman
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 6 (2024): Desember 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i6.8286

Abstract

Abstrak − Pembangkit Listrik Tenaga Surya (PLTS) adalah sistem pembangkit listrik yang energinya bersumber dari radiasi matahari, melalui konversi sel  fotovoltaik. Terdapat rugi-rugi daya pada PLTS salah satunya adalah DC losses. Penelitian ini bertujuan untuk menganalisis kerugian daya DC (DC Losses) pada Pembangkit Listrik Tenaga Surya (PLTS) dioperasikan oleh PT XYZ. Metode yang digunakan adalah simulasi dengan software PVSyst untuk mengidentifikasi berbagai jenis kerugian DC, seperti soiling loss, mismatch loss, temperature loss, dan degradation loss, serta membandingkan hasil simulasi dengan data aktual di lapangan. Penelitian ini dilakukan di PLTS PT XYZ, dengan data operasi dari Januari hingga Mei. Analisis menunjukkan bahwa temperature loss memberikan kontribusi terbesar terhadap total DC Losses, dengan rata-rata 9,1% hingga 10%, diikuti oleh soiling loss sebesar 3%. Nilai kerugian aktual array loss bervariasi dari 14,83% hingga 17,03%, sementara simulasi menunjukkan hasil yang lebih rendah, yaitu antara 14,4% hingga 15,6%. Hasil ini menunjukkan adanya perbedaan signifikan antara nilai simulasi dan aktual, yang disebabkan oleh faktor lingkungan serta keterbatasan alat ukur di lapangan. Simulasi dan hasil aktual wiring loss juga menunjukkan perbedaan, di mana nilai aktual lebih tinggi (3,5% hingga 3,8%) dibandingkan hasil simulasi (3,1% hingga 3,4%). Hasil penelitian ini diharapkan dapat membantu meningkatkan efisiensi operasional PLTS dan meminimalkan kerugian DC.Kata Kunci: DC Losses, PLTS Selong, Software PVSyst, array loss, wiring loss. Abstract − Solar Power Plant (PLTS) is a power generation system whose energy is sourced from solar radiation, through the conversion of photovoltaic cells. There are power losses in solar PV, one of which is DC losses. This study aims to analyze DC power losses in Solar Power Plants (PLTS) operated by PT XYZ. The method used is simulation with PVSyst software to identify various types of DC losses, such as soiling loss, mismatch loss, temperature loss, and degradation loss, and compare the simulation results with actual data in the field. This research was conducted at PLTS PT XYZ, with operational data from January to May. The analysis shows that temperature loss contributes the most to total DC Losses, with an average of 9.1% to 10%, followed by soiling loss of 3%. The actual loss value of the array loss varied from 14.83% to 17.03%, while the simulation showed a lower yield, which was between 14.4% to 15.6%. These results show that there is a significant difference between the simulated and actual values, which is caused by environmental factors and the limitations of measuring instruments in the field. Simulations and actual wiring loss results also showed differences, where the actual values were higher (3.5% to 3.8%) than the simulation results (3.1% to 3.4%). The results of this research are expected to help improve the operational efficiency of solar PV and minimize DC losses.Keywords: DC Losses, PLTS Selong, Software PVSyst, array loss, wiring loss
MODELING HIDDEN NODES COLLISIONS IN WIRELESS SENSOR NETWORKS: ANALYSIS APPROACH A. Sjamsjiar Rachman; Wirawan Wirawan; Gamantyo Hendrantoro
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 8, No 1, Januari 2010
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (320.071 KB) | DOI: 10.12962/j24068535.v8i1.a69

Abstract

This paper studied both types of collisions. In this paper, we show that advocated solutions for coping with hidden node collisions are unsuitable for sensor networks. We model both types of collisions and derive closed-form formula giving the probability of hidden and visible node collisions. To reduce these collisions, we propose two solutions. The first one based on tuning the carrier sense threshold saves a substantial amount of collisions by reducing the number of hidden nodes. The second one based on adjusting the contention window size is complementary to the first one. It reduces the probability of overlapping transmissions, which reduces both collisions due to hidden and visible nodes. We validate and evaluate the performance of these solutions through simulations.
SOSIALISASI DAN PENGENALAN ROBOTIKA UNTUK PENGUATAN PEMBELAJARAN STEM DENGAN PENDEKATAN INDUKTIF DI SMP-IT Giri Wahyu Wiriasto; Misbahuddin; Iqbal, Muhamad Syamsu; Rachman, A. Sjamsjiar; Irfan A, L Ahmad Syamsul; Budiman, Djul Fikry
Jurnal Pepadu Vol 6 No 4 (2025): Jurnal Pepadu
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v6i4.8869

Abstract

  Pemerintah mendorong penguatan pendidikan STEM sejak jenjang sekolah dasar untuk membekali siswa dengan literasi sains, teknologi, teknik, dan matematika. Namun, implementasi di sekolah masih menghadapi kendala, seperti keterbatasan sarana, minimnya kit robotika, serta kurangnya kesiapan guru dalam menerapkan inductive reasoning. Selain itu, waktu untuk pembelajaran berbasis proyek dan dukungan kurikulum juga masih terbatas. Kondisi ini mendorong perlunya inisiatif alternatif melalui kegiatan pengabdian masyarakat. Program ini bertujuan untuk memperkenalkan robotika sebagai media pembelajaran STEM berbasis inductive reasoning serta mendukung sekolah dalam menyiapkan kurikulum ekstrakurikuler yang relevan. Kegiatan dilaksanakan melalui sosialisasi dan workshop yang dipisahkan untuk siswa dan guru pendamping. Selain itu, disediakan kit robotika sederhana berbahan habis pakai dipadukan dengan perangkat elektronika, serta pendampingan dalam penyusunan kurikulum STEM berbasis inductive learning. Sosialisasi pengenalan robotika berhasil dilaksanakan di salah satu SMP-IT kota Mataram dan diikuti lebih dari 600 siswa kelas VII–IX. Sebanyak empat guru pendamping terlibat aktif dalam kegiatan. Kit mekanis-elektronis digunakan dalam workshop untuk menunjang praktik langsung siswa, sementara guru memperoleh wawasan baru terkait strategi pembelajaran induktif. Luaran lain berupa rancangan kurikulum STEM berbasis inductive learning yang dapat dijadikan acuan dalam kegiatan ekstrakurikuler. Program ini memperlihatkan antusiasme tinggi dari siswa dan respon positif dari pihak sekolah. Kegiatan ini memperkuat literasi STEM berbasis robotika, menumbuhkan motivasi siswa, serta memberi kontribusi nyata bagi sekolah, siswa dan guru dalam mengembangkan pembelajaran induktif di sekolah.
Co-Authors ., Sinarep Abdullah Zainuddin Akbar, L A Syamsul Irfan Akbar, L. Ahmad S. Irfan Akbar, L. Syamsul Irfan Akbar, Lalu A. Syamsul Irfan Akbar, Lalu Ahmad S. Irfan Budi Darmawan Bulkis Kanata Danistian, Angga Dianda, Nandita Dirga Dama Derajat Djul Fikry Budiman, Djul Fikry Farhan Ahmad Suharyadi Febtiawan, Ergi Putra Fikriansyah, Muhammad G. Gunawan Gamantyo Hendrantoro Giri Wahyu Wiriasto Gunawan Gunawan Hartawan, Bagi I Made Budi Suksmadana I Nengah Suhartawan Ida Lestari Harahap 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. Syamsul Irfan Akbar L.A.S. Irfan Akbar L.A.Syamsul Irfan Akbar Lalu Imam Adiguna Rinjani Lalu Muhamad Roviq Akbar M. Irwan M. Irwan, M. Irwan M. Ramdani M. Rifqi M. Syamsu Iqbal Made Sutha Yadnya Misbahuddin Misbahuddin, Misbahuddin Muhamad Fikriansyah Muhamad Syamsu Iqbal Nurwijayanti Paniran Paniran Putra, Chaeru Rachmadi Rafli, Muhammad Rosmaliati, Rosmaliati RR. Ella Evrita Hestiandari Sandy Febrian R Shafwatul Majdi Suksmadana, I Made Budi Syafaruddin Syafaruddin Wicaksono, Eko Prasetyo Wirawan Wirawan Zamroni, Sulthon