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All Journal Natural B Indonesian Journal of Pharmaceutical Science and Technology JP3 (Jurnal Pendidikan dan Profesi Pendidik) Science and Technology Indonesia Jurnal Sains Teknologi dan Lingkungan (JSTL) Journal of Physics: Theories and Applications Jurnal Penelitian Pendidikan IPA (JPPIPA) Jukung (Jurnal Teknik Lingkungan) Jurnal Biologi Tropis JMM (Jurnal Masyarakat Mandiri) ORBITA: Jurnal Pendidikan dan Ilmu Fisika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan KONSTAN - JURNAL FISIKA DAN PENDIDIKAN FISIKA Jurnal Pengabdian Magister Pendidikan IPA Jurnal Pendidikan Fisika dan Teknologi EIGEN MATHEMATICS JOURNAL Indonesian Physical Review Kappa Journal Instructional Development Journal Informatika Jurnal Ilmiah Farmako Bahari Acta Chimica Asiana Jurnal Komunitas: Jurnal Pengabidian Kepada Masyarakat Jurnal Abdi Insani Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Jurnal Warta Desa (JWD) Jurnal Begawe Teknologi Informasi Kreasi: Jurnal Inovasi dan Pengabdian Kepada Masyaraka Jurnal Pepadu INSANTA: JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Pertambangan dan Lingkungan Journal of Technology, Mathematics and Social Science Journal of Fisheries & Marine Wahana Fisika : Jurnal Fisika dan Terapannya Journal of Theological Students
Susi Rahayu
Program Studi Fisika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Mataram
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Transformasi Peran Pemimpin Pembelajaran SMK dalam Mengintegrasikan Kecerdasan Buatan (AI) secara Etis dan Berkeadilan Rahayu, Susi; Darsinah, Darsinah; Rohmah, Wafrotur
Instructional Development Journal Vol 8, No 3 (2025): IDJ
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/idj.v8i3.38332

Abstract

Disrupsi teknologi Kecerdasan Buatan (AI) menuntut transformasi fundamental dalam kepemimpinan pendidikan, dari peran manajerial menuju peran yang lebih adaptif dan beretika. Penelitian ini bertujuan untuk menganalisis bagaimana pemimpin pembelajaran di SMK Muhammadiyah 1 Baturetno, sebuah sekolah kejuruan di wilayah non-urban, memaknai dan mentransformasikan bermaksud untuk mengintegrasikan AI secara etis dan berkeadilan. Dengan menggunakan pendekatan kualitatif berdesain studi kasus, data dikumpulkan melalui wawancara mendalam, observasi partisipan, dan studi dokumentasi dengan kepala sekolah, wakil kepala sekolah, dan beberapa guru. Hasil penelitian menunjukkan bahwa transformasi peran terjadi melalui tiga tahapan utama: (1) pergeseran makna kepemimpinan dari 'manajer' menjadi 'arsitek ekosistem belajar'; (2) penerapan strategi 'koalisi-terbatas' untuk menavigasi resistensi dan memantik inovasi dari bawah; dan (3) munculnya kesadaran akan dilema antara mendorong inovasi dengan memastikan keadilan digital bagi siswa dari latar belakang sosial-ekonomi yang beragam. Temuan ini mengimplikasikan bahwa kepemimpinan yang efektif di era AI tidak hanya menuntut kecakapan teknis, tetapi juga kecerdasan emosional untuk mengelola perubahan dan kompas moral yang kuat untuk menempatkan keadilan sebagai inti dari kebijakan teknologi.
Optimalisasi Aktivitas Antibakteri Formulasi Hidrogel Kitosan Berbasis Jaringan Saraf Multilayer Perceptron dalam Bioteknologi Lingkungan Akhyar, Halil; Illahi, Ramadian Ridho; Hendrawan; Zubaidi, Ariyan; Bimantoro, Fitri; Hamidi, M. Zaenuddin; Rahayu, Susi
JURNAL SAINS TEKNOLOGI & LINGKUNGAN Vol. 11 No. 3 (2025): JURNAL SAINS TEKNOLOGI & LINGKUNGAN
Publisher : LPPM Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jstl.v11i3.947

Abstract

Pengembangan biomaterial antibakteri yang berkelanjutan sangat penting untuk kemajuan bioteknologi lingkungan dan meningkatkan pengendalian patogen. Komposit hidrogel berbasis kitin menunjukkan aktivitas antimikroba alami. Namun, penentuan formulasi optimal masih menjadi tantangan akibat interaksi nonlinier antara kitin, PVA, gelatin, dan honey (madu). Studi ini memperkenalkan jaringan saraf tiruan Multilayer Perceptron (MLP) sebagai kerangka kerja prediktif dan optimasi cerdas untuk menentukan komposisi hidrogel paling efektif terhadap Pseudomonas aeruginosa. Model MLP dilatih menggunakan dataset sekunder dan dievaluasi melalui R², MSE, RMSE, dan MAE untuk menilai akurasi prediksi dan kinerja generalisasi. Model mencapai R² sebesar 0.991 pada tahap pelatihan dan 0.914 pada tahap pengujian, menunjukkan kemampuan yang baik dalam menangkap hubungan variabel yang kompleks. Kemudian, optimasi berbasis grid mengidentifikasi formulasi optimal yang terdiri dari 0.06 g/mL kitosan, 0.05 g/mL PVA, 0.00 g/mL gelatin, dan 0.01 g/mL honey (madu), menghasilkan zona inhibisi maksimum sebesar 30.66 mm. Selain itu, validasi eksternal menunjukkan bahwa model MLP menghasilkan bias rata-rata sebesar 4.80%, melampaui Response Surface Methodologydan mengonfirmasi kemampuannya yang superior dalam pemodelan nonlinier. Hasil ini menunjukkan potensi jaringan saraf MLP sebagai salah satu algoritma pemodelan untuk mempercepat penemuan dan optimasi hidrogel antibakteri ramah lingkungan dalam aplikasi bioteknologi lingkungan.
Functionalization of Titanium Dioxide Nanoparticles in Anatase-Rutile Phases and Quartz Crystal Microbalance for Humidity Sensing Materials Mardiana, Laili; Fajriah, Baiq Nurul; Wirawan, Rahadi; Alaydrus, Alfina Taurida; Rahayu, Susi
Science and Technology Indonesia Vol. 11 No. 1 (2026): January
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2026.11.1.252-260

Abstract

A QCM (Quartz Crystal Microbalance) can be developed as a humidity sensor with a selective coating material. TiO2 (titanium dioxide) is a metal oxide with several crystal phases: anatase and rutile phases. However, there are few studies on the crystal phase investigation of a TiO2-based humidity sensor. Thus, this study aimed to develop a humidity sensor by functionalizing TiO2 particles with different crystal phases. The coating materials were prepared by ultrasonication. The synthesis was conducted by mixing 7 mL of TTIP (Titanium (IV) Isopropoxide) precursor in ethanol. This solution was stirred for 30 minutes, ultrasonicated, and heated for 16 hours to make a gel. The next step was a calcination process with two different temperatures to produce different crystal phases: 500oC (anatase) and 700oC (rutile). The synthesized powders were analyzed using XRD-SEM and coated onto the surfaces of the QCMs used as the developed sensors. These sensors were tested inside a chamber using a humidity control kit and a frequency counter (humidity levels: 57% to 92%). The results show that the rutile phase has a smaller particle diameter (252.672 nm) than the anatase phase (384.589 nm). The humidity sensing examinations indicate that the anatase-phase sensor has faster response-recovery times (19 seconds and 8 seconds) than the rutile-phase sensor (28 seconds and 50 seconds). It can be concluded that TiO2 particles in the anatase and rutile phases can be functionalized as a high-sensitivity coating material for a QCM humidity sensor.
Pentingnya Berpikir Ilmiah dalam Konseling Pastoral: Integrasi Epistemologis untuk Praktik yang Reflektif dan Bertanggung Jawab Anto Wahyu Prastyo, Andri; Rahayu, Susi
JOURNAL of THEOLOGICAL STUDENTS Vol. 14 No. 2 (2025): Regular Issue, Volume 14 Number 2 (2025)
Publisher : STT Kristus Alfa Omega

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37465/journaltheologi.v14i2.555

Abstract

Traditional pastoral counseling often relies on intuition or spiritual experience without a systematic methodological foundation, making it difficult to measure intervention effectiveness and limiting accountability in service. This study aims to explore the importance of scientific thinking in pastoral counseling practice as a means of epistemological integration between psychology and spirituality, to produce reflective and responsible practice. The method employed includes a literature review on counseling theories, scientific epistemology, and pastoral practice, as well as conceptual analysis on the application of scientific methodology in assessment and counseling interventions. The results indicate that applying scientific thinking enables pastoral counselors to evaluate intervention effectiveness objectively, reduce subjective bias, and strengthen professional service. Integrating scientific approaches with spiritual values also allows counselors to facilitate clients’ holistic growth, uniting psychological, social, and spiritual aspects. Thus, an ideal pastoral counselor functions as both a spiritual guide and a reflective scholar grounded in validated data, theory, and experience.
The Influence of the Tide Levels on the Water Electrical Conductivity Parameter in the Estuary Area: In-Site and Real-Time Measurement Alaydrus, Alfina Taurida; Budianto, Arif; Rahayu, Susi; Andini, Mira; Akhyar, Halil; Anggriani, Ni Ketut
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 11 No 2 (2025): July - December
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v11i2.10881

Abstract

One area that requires attention in water quality studies is the estuarine ecosystem. Estuaries are transition zones connecting freshwater and marine waters, thus possessing unique environmental dynamics. However, there is limited information regarding the effect of sea tides in the area on local estuary water quality. Therefore, this study aims to identify the existing relationship between sea tide levels and EC values, using an IoT-based system that is portable, lightweight, and capable of operating in real time. This study was conducted over five days in Senggigi village, Batulayar, West Nusa Tenggara, Indonesia. The collected data focused on the EC parameter's water quality levels at different tide levels, which were monitored using the self-developed system. This system was developed using an EC sensor, a microcontroller, and a wireless internet router (for wireless data communication via ThingSpeak.com). This system was also equipped with a pH sensor, a TDS sensor, and a water temperature sensor. The recorded data show that the resulting data are valid and highly accurate, and that the system is ready for examination at the measurement area. The resulting data show that the correlation between tide level and EC value is logarithmic, with a regression coefficient of 0.934. The EC level was about 20.42 – 62.54 mS/cm, depending on the tide level. It can be concluded that the tide level indeed influences the EC parameter in the estuary area. Moreover, TDS plays an important role in regulating EC levels, underscoring the need to systematically measure this parameter in any estuarine water-quality study.
In Silico Evaluation of Chitosan's Antibacterial Potential Against Gram-Positive and Gram-Negative Bacteria Maulidya, Selvira; Rahayu, Susi; Permatasari, Lina; Putri, Hudaynu Patya; Juniarza, A'yuni Guban
Jurnal Ilmiah Farmako Bahari Vol 17 No 1 (2026): Jurnal Ilmiah Farmako Bahari
Publisher : Faculty of Mathematic and Natural Science, Garut University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jifb.v17i1.43047

Abstract

Chitosan, a natural biopolymer, has attracted attention for its potential antibacterial properties against a wide range of pathogens. The escalating crisis of antibiotic resistance necessitates the exploration of novel antibacterial agents effective against both Gram-positive and Gram-negative bacteria. This study aimed to predict the antibacterial potential of chitosan against Staphylococcus aureus (a Gram-positive bacterium) and Escherichia coli (a Gram-negative bacterium) using a comprehensive in silico approach. Short chitosan oligomers, specifically trimers, were used to ensure computational feasibility and reliable molecular docking, as full-length polymers are too large for standard docking algorithms. Molecular docking simulations were performed using AutoDock to investigate the interactions between 13 chitosan compounds and the essential bacterial protein DNA gyrase, a key enzyme involved in DNA replication and repair. Binding affinities, interaction patterns (such as hydrogen bonding and hydrophobic contacts), and conformational changes were analyzed. The ligand showing the most favorable docking profile was further evaluated via molecular dynamics simulations using OpenMMDL to assess the stability of the complex over time. The results indicated that the chitosan derivatives, namely aminoethyl chitosan and dimethylaminoethyl chitosan, interact favorably with DNA gyrase in S. aureus and E. coli, respectively, with differential binding energies and interaction modes suggesting potential variations in inhibitory mechanisms between Gram-positive and Gram-negative bacteria. These computational findings support the potential of chitosan as a broad-spectrum antibacterial agent and provide a theoretical framework to guide further in vitro and in vivo validation of chitosan as a novel antibacterial compound.
STRUCTURAL AND COMPOSITIONAL CHARACTERIZATION OF HYDROXYAPATITE AND NANO-CHITOSAN SYNTHESIZED FROM PINCTADA MAXIMA SHELL WASTE FOR BIOMEDICAL APPLICATIONS Rahayu, Susi; Santjojo, D J D H; Wirawan, Rahadi; Yulianingsih, Weny; Masruroh, Masruroh
Indonesian Physical Review Vol. 9 No. 2 (2026)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v9i2.574

Abstract

Pearl oyster (Pinctada maxima) aquaculture in West Nusa Tenggara (NTB), Indonesia, generates underutilized shell waste that may impact coastal environments. This study aimed to convert the Pinctada maxima shell waste into high-value biomaterials, specifically hydroxyapatite (HA) and nano-chitosan, and to characterize their physicochemical properties for potential biomedical applications. HA was synthesized via the wet precipitation method followed by calcination  at 1000 °C and 1100 °C. Concurrently, nano-chitosan was prepared through ionic gelation, investigating the effect of 70% and 80% NaOH alkaline treatments. Characterization of HA using EDX indicated a stable Ca/P molar ratio of  1.68 ± 0.03 (1000°C) and 1.67 ± 0.03 (1100°C), FTIR confirmed the presence of hydroxyl and phosphate groups, and XRD revealed well-defined crystalline structures. For nano-chitosan, particle size analysis (PSA) showed size ranges from 235.55 ± 43.90 up to 2728.58 ± 258.74 nm (70% NaOH) and 20.63 ± 18.04 up to 3525.55 ± 13.06 nm (80% NaOH), with FTIR confirming successful ionic cross-linking. The degree of deacetylation (DD) was found to be high, 81.13 ± 0.03% and 82.65 ± 0.15% respectively, although the XRD patterns indicated a predominantly amorphous structure for the nano-chitosan. These findings suggest that the synthesized HA and nano-chitosan from Pinctada maxima shell waste possess favorable physicochemical characteristics, thus supporting their potential as sustainable materials for various biomedical applications.
Characteristics of Dyeing Cotton Thread Using Fine Particle Powder from Tectona Grandis Leaf Dian W. Kurniawidi; Diah L. Dewi; Susi Rahayu; Arif Budianto; Siti Alaa
Jurnal Penelitian Pendidikan IPA Vol 9 No 10 (2023): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i10.3753

Abstract

In Lombok, the traditional process of dyeing woven fabrics primarily involves the use of synthetic dyes, which can contribute to environmental pollution. This study aimed to identify the characteristics of woven yarn and assess the effect of dye solution pH on yarn properties when using teak leaves (Tectona grandis) to produce dye powder through a mechanical thermal method. The thread coloring process comprised mordanting, coloring, and fixation stages, with the assistance of Android applications for color analysis and a Universal Tensile Machine Type RTG-1310 to assess mechanical properties. The results revealed that dyeing yarn with anthocyanin powder from teak leaves yielded a range of colors, including shades of gray, brown, and red. The highest tensile strength observed was 2,664 cN/dtex, and the solution's pH significantly influenced the dominant color, with red being prominent. Notably, optimal tensile strength (1,649 cN/dtex) was achieved at pH six. These findings highlight the potential for producing high-quality cotton threads using different dyeing processes and techniques. The study's insights contribute to both environmental protection and thread quality enhancement in the textile industry
Object distance analysis using convolutional neural network (CNN) method based on stereo vision Alistiqlal, B. Hilda Nida; Sudiarta, I Wayan; Rahayu, Susi
Journal of Physics: Theories and Applications Vol 8, No 2 (2024): Journal of Physics: Theories and Applications
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jphystheor-appl.v8i2.86069

Abstract

Blind or semi-blind people require additional devices or assistants such as a cane or a guide dog to navigate in their daily activities. In robotic or automation technology such as self-driving cars also require knowing objects in front of them accurately. The purpose of this paper is to study the use of stereo cameras as a distance measuring device and to determine the optimal camera configuration and its accuracy. The method used to determine distance is the convolutional neural network (CNN) method based on stereo vision. For training and validation data, we recorded images of a ball in random positions in front of the stereo cameras. This test uses two steps, the first is to recognise the camera object using the CNN method, then the second is to measure the stereovision-based object with an input image of 1350 image pairs. With 160 images used as CNN training data and the remaining 40 images as CNN validation data, the entire dataset is also taken to be used as training data for ball distance. Based on the results of the study, it was found that the model successfully predicted the image with 97% accuracy. The accuracy of the optimal distance measurement results at a distance between cameras of 11 cm is found to be 68.03% within a distance of 1 m, for a distance between cameras of 15 cm is found to be 94.63% within a distance of 2 m, and for a camera distance of 19 cm is found to be 99.61% for a distance of 3 m objects.
Co-Authors ABDUL GANI abdurrouf Abdurrouf Afiatul Hafifah Agista, Wida Puteri Agus Saputra Agus Wahid H Ahmad Risandi F. Ahmad Taufik Ahmad Taufik S Alaa', Siti Alaa, Siti Alaa, Siti Alaa`, Siti Alawiyah, Geby Alaydrus, Alfina T. Alaydrus, M. Mukaddam Alaydrus, Mukaddam Alda Berlian Alfina Alaydrus Alfina Taurida Alaydrus Alhadi, Kasnawi Alhaqiqi, Candra Alimuddin Alimuddin Alistiqlal, B. Hilda Nida Amirrah, Reffa Amrul Ikhsan Amrulloh, Ashfia Andini, Mira Anggie Dwi P. Anggriani, Ni Ketut Ansyori, Maz Isa Anto Wahyu Prastyo, Andri Arif Budianto Arif Budianto Arif Budianto Arum, Maysaroh Arzyl Akbar Baiq Niswatul Khair Baiq R. S. Yusuf Bakti Sukrisna Bambang Sumardjoko Cahyawati, Triyana Dyah Darsinah Deasy Mariyani Desti Olga Safitri Destrianingtyas, Aulia Safitri Dewi Handayani Dewi, Diah L. Diah L. Dewi Dian W Kurniawidi Dian W. Kurniawidi Dian W. Kurniawidi Dian Wijaya Kurniawidi Dian Wijaya Kurniawidi Djoko H Santjojo Djoko H. Santjojo Dodi Mariadi Dona, Dona Dwiyansaputra, Ramaditia Eka Rahmawati Eka Rahmawati Enggar Juwanda K. Ervina Sandra Dewi Eva Nurhaliza Eva Nurhaliza Fadila, Naila Fadli Robiandi Fajarica, Shinta Desiyana Fajriah, Baiq Nurul Fajriyah, Putri Arifatul Fidya, Karina Alma Fitri Bimantoro Hadi, Kasnawi Al Halil Akhyar Hamidi, M. Zaenuddin Hamidi, Mohammad Zaenuddin Handayana, I G N Yudi Handayana, I Gusti Ngurah Yudi Handayana, I Gusti Ngurah Yudi Hasanah, Khofizzatul Hendrawan Hendri Maradona, Hendri Hidayatullah, Kholik Hiden - Hiden Huan Ahmad T. Hurnah Hurnah, Hurnah Huwaida, Maitsa I Wayan Sudiarta I Wayan Sudiarta Ichsan, Andi Chairil Inatsa, Najma Intan Utami Intan Utami Isa A.A, Maz Iwan Sumarlan Jannah, Sahlli Jazuly, Zaky Juniarti, Rosita Juniarza, A'yuni Guban Kasnawi Al Hadi Khusnul Khotimah Kiki Yasdomi Kormil Saputra Kurniawan Yuniarto Kurniawidi, Dian W Kurniawidi, Dian W. Kurniawidi, Dian Wijaya Laeli, Ida Lahir, Sri Laili Mardiana Lalu A Didik Lalu A Didik Lalu A. Didik Lalu Sahrul Hudha Legi Aprila Lestari, Sintya Dewi Lily Maysari Angraini Liza Umitasari Mammi Dwi R. Marlina, Resti Marzuki Marzuki Marzuki Marzuki Masruroh Masruroh Masruroh MASRUROH Maulana, Sutan Fajri Maulidya, Selvira Meilani, Dini Moh. Bahtiar Muh. Alfaris Muhamad Ali Muhamad Ali Muhamad Ali Muhamad Amin Muhamad Amin Muhammad Fajrin Muhammad Maulana Mustafid, Azhar Nadila Rahmawati Nafsiatil Afro', Maulina Nurfadilah Nurfadilah Nurfadilah Nurhidayati Nurhidayati Nurlaili Nurlaili Nurliah Buhari Nurmaulida, Siti Ema NURUL QOMARIYAH Oktri P, Awanda Permatasari, Lina Pertiwi, Shavira Pranahita, Dewa Dwi Purnaning, Dyah Putraji, L.M. Guguh Putri, Hudaynu Patya Raisa, Daeva Ramadian Ridho Illahi Reza Alfian Ridwansyah, Habib Rohani Sayuti Rubi'ah, Siti S., RR. Delima Sabrina, Sovia Santjojo, D J D H sasabila, sasabila Septiani, Nonik Setyawan P Sakti Setyawan P. Sakti Shomad, Moh Abdul Sinta Devi Hariyanti Siti Alaa Siti Alaa Siti Alaa’ Sri Mulyani Suhayat Minardi Suhayat Minardi Sunita, Asfa Syamsuddin Syamsuddin Syamsuddin Syamsuddin Syamsuddin Teguh Ardianto, Teguh Thathit Suprayogi Utami, Urfi Wafrotur Rohmah Wahana, Lidia Wahyudi, Sopian Ari Wardi, Palaivia Harman Wijaya Kurniawidi, Dian Wirawan, Rahadi Wirawan, Rahadi Yulianingsih, Weny Zahrah Ramadlan Mubarokah Zubaidi, Ariyan