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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.
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 Darmawan, Riski Deasy Mariyani Dewi, Diah L. Dwiyansaputra, Ramaditia 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 Hurnah Hurnah I Gede Pasek Suta Wijaya I Wayan Sudiarta Kasnawi Al Hadi Kasnawi Al Hadi Kurniawidi, Dian W. Laili Mardiana Lalu Sahrul Hudha Maulana, Sutan Fajri Maz Isa Ansyori Moh. Bahtiar Moh. Bahtiar 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 Pranahita, Dewa Dwi Putra, Nathanael Lucky Hadi Ramadian Ridho Illahi Ramaditia Dwiyansaputra Regania Pasca Rassy Regania Pasca Rassy Rosika, Herliana Roviq Wijaya Selvira Anandia Intan Maulidya Sintya Dewi Lestari Suaibatul Islamiah Susi Rahayu Susi Rahayu Susi Rahayu Susi Rahayu Susi Rahayu Susi Rahayu Tresna, I Made Agus Untung Sunaryo Wadis Freandly Wardi, Palaivia Harman Wirawan, Rahadi Zafrullah, Ahmad Zubaidi, Ariyan