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All Journal Jurnal Sains Teknologi dan Lingkungan (JSTL) ORBITA: Jurnal Pendidikan dan Ilmu Fisika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Journal of Computer Science and Informatics Engineering (J-Cosine) Jurnal Pendidikan Fisika dan Teknologi Kappa Journal Jurnal Teknologi Informasi dan Multimedia Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) Jurnal Abdi Insani Jurnal Begawe Teknologi Informasi Kreasi: Jurnal Inovasi dan Pengabdian Kepada Masyaraka Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Journal of Fish Health Jurnal Perikanan
Halil Akhyar
Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram
Agriculture, Biological Sciences & Forestry Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Identifikasi Pengaruh Laju Alir Udara Terhadap Performa Efisiensi Aliran PM dalam Sistem Blower ESP Berbasis IoT Arif Budianto; Hanana Fadila Nurul Yaqin; Suaibatul Islamiah; Roviq Wijaya; Ni Ketut Anggriani; Kasnawi Al Hadi; Halil Akhyar
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 5 No. 1 (2025): Lambda
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v5i1.1243

Abstract

One of the air emission mitigation efforts is the development of electrostatic precipitator (ESP)-based filtration. On the other hand, this method requires further identification of the effect of flow rate on the resulting efficiency level. Therefore, this study aims to identify the best flow rate in a low-power, small-scale miniature ESP system based on ESP, with the application of IoT technology in real-time and accurate data monitoring. The study was conducted in a closed chamber using an IoT-based flow rate measurement system (anemometer). The flow rate was varied into two categories, namely inlet and outlet. Measurements were made for 100 s consecutively on both air flow paths. Work efficiency was calculated based on the difference between the inlet and outlet flow rates, which was then compared with the inlet flow rate. Data communication efficiency was analyzed using RSSI parameters based on the IoT system using a 4G internet network. The measurement results showed similarity in data between the inlet and outlet flow rates, with an efficiency level of 87%. RSSI in data communication is above -60 dBm with a strong transmission signal category. These results conclude that flow rate can affect air flow efficiency performance. The quality of an IoT network can be analyzed using the RSSI parameter.
Studi Pengaruh pH Terhadap Stabilitas Warna dan Kuat Tarik Kain Katun dengan Pewarna Alami Antosianin Susi Rahayu; Sintya Dewi Lestari; arif Budianto; Alfina Taurida Alaydrus; Halil Akhyar
Kappa Journal Vol 9 No 1 (2025): Kappa Journal
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v9i1.29595

Abstract

Lombok has become one of the leading tourist destinations, especially with the development of the Mandalika Special Economic Zone. One of the cultural products that has the potential to be offered to tourists is Lombok traditional weaving. The study aims to analyze the effect of the pH of the dye solution on the characteristics of the dyed fabric. The research method uses a mechanical thermal method to obtain anthocyanin powder extraction, standard staining methods namely mordan, staining, and fixation, as well as characterization using tensilons, Color Analyzer software, Hooloovoo, and Encycolorpedi website. The extraction of anthocyanin compounds from teak leaves (Tectona grandis) was successfully carried out by mechanical thermal method. Color analysis and identified color changes are significantly affected by differences in solution pH. The higher the pH used, the darker the color will be produced and the higher the level of color fading in the fabric. The smallest  E value is at pH 6 =5.364 and the largest  E value is at pH 14 = 17.145. However, an increase in pH tends to increase the tensile strength of the fabric. However, the optimum tensile strength condition was obtained in a solution of pH 12, which was 17.414 MPa, while at pH 13 and pH 14, the tensile strength of the fabric decreased to 16.071 MPa. Based on the analysis of the influence of pH of dye solution on fabric tensile strength, it was identified that a 6th-order polynomial model (determination coefficient R2 = 0.9479) was identified as accurate enough to model the influence of pH on fabric tensile strength. Therefore, this finding has potential in the textile industry, especially in increasing the economic value of Lombok weaving.
Optimizing Green-Synthesized Chitosan Nanoparticles for Anticancer Drug Delivery Using Artificial Intelligence: A Systematic Literature Review Halil Akhyar; Ahmad Taufik S; Susi Rahayu
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 2 (2026): May
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i2.1024

Abstract

Chitosan nanoparticles (CNPs) are promising anticancer drug-delivery carriers because of their biodegradability, mucoadhesive behavior, drug-loading capacity, and surface modifiability. However, previous studies have often examined green synthesis, CNP formulation, artificial intel-ligence (AI), and anticancer delivery as separate research domains, leaving limited synthesis of how AI-assisted optimization can improve environmentally sustainable CNP systems for cancer therapy. This systematic literature review evaluated studies published from 2016 to 2025 on green-synthesized CNPs optimized through AI, machine learning, or statistical optimization approaches for anticancer applications. A Scopus search using the Boolean string "chitosan AND anticancer AND optimization" identified 95 records. After eligibility screening, 42 records were excluded because they were older than 2016, non-article publications, non-English records, or out-side the oncology/green-CNP scope, leaving 53 studies for review. The evidence was synthesized into four domains: optimization and predictive modeling, green synthesis and material innova-tion, targeted and multifunctional nanocarriers, and preclinical efficacy and translational readiness. Across the included studies, optimized CNPs showed particle sizes ranging from approxi-mately 5 to 473 nm, encapsulation efficiency up to 98%, and zeta potentials from -31 to +98 mV. Reported therapeutic improvements included enhanced cytotoxicity, reduced IC50 values, sus-tained release up to 72 h, and inhibition rates up to 82% in selected cancer models. Nevertheless, cross-study comparison was limited by inconsistent model-validation metrics, incomplete toxicity reporting, limited in vivo validation, and insufficient scalability assessment. Integrating AI-guided optimization with green CNP synthesis can accelerate sustainable nanomedicine design, but future studies should prioritize standardized reporting, risk-of-bias control, life-cycle assess-ment, and regulatory translation.
IDENTIFICATION OF pH SENSOR SENSITIVITY LEVELS ACROSS VARIOUS AQUATIC ECOSYSTEMS BASED ON DIRECT MEASUREMENT WITH WIRELESS DATA COMMUNICATION Halil Akhyar; Ariyan Zubaidi; Ramaditia Dwiyansaputra; Mohammad Zaenuddin Hamidi; Susi Rahayu; Kasnawi Al Hadi; Ni Ketut Anggriani
Vol 16 No 3 (2026): JURNAL PERIKANAN
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jp.v16i3.2337

Abstract

Characterizing sensor sensitivity across various aquatic ecosystems is essential for determining the sensor's ability to accurately detect pH changes under real-world field conditions. Given this context, this study aims to assess the sensitivity of a capacitive pH sensor in several aquatic ecosystems through in situ measurements. This study utilized several water samples for direct calibration and testing. Four water samples with known pH levels were used for calibration. For the subsequent testing phase, water samples were collected from the following ecosystems: ecosystem 1 (river), ecosystem 2 (rice field), ecosystem 3 (estuary), ecosystem 4 (sea), and ecosystem 5 (fish pond). The system was built using an Arduino MEGA+ESP8266 microcontroller. Regarding the sensor component, a pH sensor (DF-Robot) with an analog signal output was employed. The calibrated system was examined using five different water ecosystems. The results show that the system was calibrated, with a span of 6.47-7.50. The sensitivity levels depend on the ecosystem conditions (0.08 V/pH level). The findings are expected to provide a scientific basis for developing more reliable pH sensors and to support sustainable water quality monitoring and mitigation efforts.
Empowering Communities in Lombok through Korean Language Education and Digital Business Development: PEMBERDAYAAN MASYARAKAT DI LOMBOK MELALUI PENDIDIKAN BAHASA KOREA DAN PENGEMBANGAN BISNIS DIGITAL I Wayan Agus Arimbawa; I Kade Wiratama; Rosmaliati Rosmaliati; Ida Bagus Ketut Widiartha; Budi Irmawati; Halil Akhyar; Santi Ika Murpratiwi; Aylira Natasya Susanto; Christian Hadi Candra; Hendru Elban Anshori; Linda Julivia; M. Rizki Juniardi; Tiara Andriani Isnawati; Rahmat Syukrianto
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 7 No. 2 (2026): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v7i2.1702

Abstract

Pengabdian kepada masyarakat merupakan salah satu wujud implementasi Tri Dharma Perguruan Tinggi, khususnya di bidang pengabdian kepada masyarakat, yang memberikan kesempatan kepada dosen dan mahasiswa untuk menerapkan pengetahuan dan keterampilannya secara langsung di tengah masyarakat. Program ini dikembangkan bersama KKN UNRAM x SNU yang dilaksanakan dari bulan April hingga Juli 2026 bekerja sama dengan Universitas Mataram, Seoul National University, Universitas Nasional Jakarta, dan Universitas Indonesia, dirancang untuk memperkuat kompetensi dan kapasitas masyarakat Lombok melalui kegiatan pendidikan, pengembangan keterampilan, pertukaran budaya, dan kepedulian lingkungan. Program ini terdiri dari beberapa kegiatan pelatihan, antara lain Bahasa Korea Dasar, Bahasa Korea untuk Pekerja (EPS-TOPIK), Bahasa Korea untuk Pariwisata, Bahasa Korea untuk Bisnis, dan Bisnis Digital. Melalui program ini, peserta dibekali dengan pengetahuan dan keterampilan praktis yang relevan untuk komunikasi sehari-hari, pekerjaan, pariwisata, lingkungan profesional, dan kewirausahaan digital. Program ini juga dilengkapi dengan kegiatan edukasi budaya bagi siswa sekolah dasar serta aksi bersih pantai di Pantai Melase sebagai bentuk keterlibatan masyarakat dan kepedulian lingkungan. Melalui berbagai inisiatif tersebut, program ini bertujuan untuk memperluas kompetensi dan peluang peserta sekaligus mendukung pengembangan sumber daya manusia, kewirausahaan digital, potensi pariwisata, dan pemahaman lintas budaya di Lombok.
Empowering Youth through Digital Literacy and Optimization of Village Information Systems for Tourism Promotion in Mertak Village, Central Lombok, West Nusa Tenggara: PEMBERDAYAAN PEMUDA MELALUI LITERASI DIGITAL DAN OPTIMALISASI SISTEM INFORMASI DESA UNTUK PROMOSI PARIWISATA DI DESA MERTAK, KABUPATEN LOMBOK TENGAH, NTB Halil Akhyar; Pahrul Irfan; Mohammad Zaenuddin Hamidi; Regania Pasca Rassy; Lalu Bisma Kurniawan Haris
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 7 No. 2 (2026): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v7i2.1706

Abstract

Desa Mertak, Kecamatan Pujut, Kabupaten Lombok Tengah, memiliki potensi alam, budaya, kuliner, aktivitas masyarakat, dan usaha mikro yang mendukung pengembangan pariwisata, tetapi belum direpresentasikan secara sistematis melalui situs web resmi desa. Program pengabdian kepada masyarakat ini bertujuan memberdayakan pemuda melalui penguatan literasi digital dan optimalisasi Sistem Informasi Desa berbasis OpenSID sebagai media informasi publik dan promosi pariwisata. Kegiatan menggunakan pendekatan partisipatif berbasis praktik dengan melibatkan 18 peserta pada pelatihan tanggal 10 Juli 2026. Tahapan kegiatan meliputi identifikasi permasalahan, sosialisasi literasi digital, praktik OpenSID, penataan situs web, publikasi konten, pendampingan, dan evaluasi proses. Peserta mempraktikkan pembaruan identitas desa, konfigurasi tema, penataan menu, pengelolaan tautan media sosial, serta publikasi artikel. Hasil kegiatan menunjukkan perubahan situs web dari kondisi awal yang minim konten menjadi lebih representatif dengan identitas desa yang jelas, menu Berita Desa, Budaya, Wisata, Program Prioritas, informasi demografis, serta artikel yang telah dipublikasikan. Kegiatan juga memberikan pengalaman langsung kepada peserta dalam pengelolaan OpenSID. Hasil ini menunjukkan bahwa pemanfaatan Sistem Informasi Desa sebagai media promosi pariwisata memerlukan dukungan kapasitas digital, pengelolaan konten, pembagian peran editorial, dan tata kelola yang berkelanjutan. Program ini berkontribusi terhadap SDG 4.4 melalui penguatan keterampilan digital, SDG 8.9 melalui dukungan promosi pariwisata, budaya, dan produk lokal, SDG 16.10 melalui peningkatan akses informasi publik, serta SDG 17.17 melalui penguatan kemitraan. Kontribusi tersebut berada pada tingkat penguatan kapasitas dan luaran kelembagaan, bukan sebagai bukti ketercapaian target SDGs. Evaluasi selanjutnya perlu mencakup pre-test–post-test, analitik situs web, frekuensi publikasi, dan keterlibatan media sosial.
KLASIFIKASI CITRA KELAINAN KULIT MENGGUNAKAN RESNET50 DAN MOBILENETV2 PADA DATASET HAM10000 Ida Ayu Dewi Purnama Anjani; Fitri Bimantoro; Halil Akhyar
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 8 No 2 (2026): September 2026
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v8i2.612

Abstract

Penyakit kulit merupakan salah satu masalah kesehatan dengan prevalensi yang cukup tinggi di Indonesia. Proses diagnosis kelainan kulit umumnya dilakukan melalui biopsi atau pemeriksaan visual menggunakan dermoskop yang memerlukan waktu serta ketelitian tinggi. Perkembangan deep learning, khususnya Convolutional Neural Network (CNN), memungkinkan proses klasifikasi citra medis dilakukan secara otomatis dengan tingkat akurasi yang lebih baik melalui pendekatan transfer learning. Penelitian ini bertujuan untuk menganalisis dan membandingkan performa model ResNet50 dan MobileNetV2 dalam klasifikasi tujuh jenis kelainan kulit pada dataset HAM10000. Tahapan penelitian meliputi preprocessing data, augmentasi citra, pembagian dataset menjadi data train, validation, dan test, training model menggunakan bobot pretrained ImageNet, fine-tuning, serta evaluasi menggunakan confusion matrix dan metrik accuracy, precision, recall, dan F1-score. Hasil penelitian menunjukkan bahwa ResNet50 memperoleh performa terbaik dengan accuracy 85,43%, precision 86,26%, recall 85,43%, dan F1-score 85,67%. Sementara itu, MobileNetV2 memperoleh accuracy 83,70%, precision 83,64%, recall 83,70%, dan F1-score 83,63%. Dari sisi efisiensi komputasi, MobileNetV2 memiliki jumlah parameter yang lebih sedikit dan waktu inferensi yang lebih cepat dibandingkan ResNet50. Hasil penelitian menunjukkan bahwa ResNet50 lebih unggul dalam performa klasifikasi, sedangkan MobileNetV2 lebih efisien untuk implementasi pada perangkat dengan sumber daya komputasi terbatas.
Co-Authors Ahmad Taufik S Ahmad Zafrullah Mardiansyah Alaydrus, Alfina T. Alfina Taurida Alaydrus Alfina Taurida Alaydrus Andini, Mira Anggriani, Ni Ketut Arif Budianto Arif Budianto Arif Budianto Arif Budianto Arif Budianto Ario Yudo Husodo, Ario Yudo Ariyan Zubaidi Ariyan Zubaidi Aylira Natasya Susanto Budi Irmawati Christian Hadi Candra Darmawan, Riski Deasy Mariyani Dewi, Diah L. Fajriyah, Putri Arifatul Febriyanto Fidya, Karina Alma Fitri Bimantoro Hadi, Kasnawi Al Hamidi, M. Zaenuddin Hamidi, Mohammad Zaenuddin Hanana Fadila Nurul Yaqin Hasanah, Khofizzatul Hendrawan Hendru Elban Anshori Herliana Rosika Hurnah Hurnah I B K Widiartha I Gede Pasek Suta Wijaya I Kade Wiratama I Wayan Agus Arimbawa I Wayan Sudiarta Ida Ayu Dewi Purnama Anjani Kasnawi Al Hadi Kasnawi Al Hadi Kurniawidi, Dian W. Laili Mardiana Lalu Bisma Kurniawan Haris Lalu Sahrul Hudha Linda Julivia M. Rizki Juniardi Maulana, Sutan Fajri Maz Isa Ansyori Moh. Bahtiar Moh. Bahtiar Mohammad Zaenuddin Hamidi Mohammad Zaenuddin Hamidi Mohammad Zaenuddin Hamidi Muhamad Ali Muhamad Ali Muhammad Iqbal Raissilki Muhammad Mukaddam Alaydrus Ni Ketut Anggriani Ni Ketut Anggriani Nugraha, Gibran Satya Nurfadilah Nurfadilah Pahrul Irfan Pahrul Irfan Pahrul Irfan Pranahita, Dewa Dwi Putra, Nathanael Lucky Hadi Rahmat Syukrianto Ramadian Ridho Illahi Ramaditia Dwiyansaputra Regania Pasca Rassy Regania Pasca Rassy Rosmaliati, Rosmaliati Roviq Wijaya Santi Ika Murpratiwi Selvira Anandia Intan Maulidya Sintya Dewi Lestari Suaibatul Islamiah Susi Rahayu Susi Rahayu Susi Rahayu Susi Rahayu Susi Rahayu Susi Rahayu Tiara Andriani Isnawati Tresna, I Made Agus Untung Sunaryo Wadis Freandly Wardi, Palaivia Harman Wirawan, Rahadi Zafrullah, Ahmad Zubaidi, Ariyan