Seminar Teknologi dan Sains Nasional - STARNAS 2025

Audit Energi pada Bangunan Komersial Pusat Perbelanjaan Continent Jalan Koperasi Aikmel, Lombok Timur

Alimin Alimin, Muji Juherwin — Thu, 11 Dec 2025 00:00:00 +0000

An energy audit was conducted on the commercial building “Continent,” located on Jalan Koperasi, Aikmel, with the objective of evaluating the level of electrical energy consumption and identifying potential energy efficiency improvements. The audit method included recording electrical loads, estimating equipment operational hours, calculating energy consumption in kWh, and analyzing the Energy Consumption Intensity (ECI) for each area. The audit results indicate that the monthly electrical energy consumption reaches 4,031.33 kWh with an estimated cost of Rp 5,824,068. The overall ECI value of 2.52 kWh/m²/month is categorized as efficient; however, the office area shows an ECI value of 13 kWh/m²/month, which exceeds the efficiency standards set by the Ministry of Energy and Mineral Resources. Based on these findings, several energy efficiency recommendations were formulated, including optimizing the lighting system, adjusting equipment operating hours, replacing conventional lamps with LEDs, installing motion sensors, and performing routine maintenance on electrical equipment. If all recommendations are implemented, it is estimated that energy savings of 1,686.17 kWh per month can be achieved, with a potential cost saving of Rp 2,436,009. Therefore, this audit concludes that there are significant opportunities for improving energy efficiency, particularly in areas with high energy consumption.

Integrasi Artificial Intelligence dalam Layanan Kefarmasian untuk Meningkatkan Kepatuhan Terapi pada Pasien Tunanetra dengan Tuberkulosis: Suatu Kajian Literatur

Fransiskus Samuel Renaldi, Khrisna Pangeran, Wafa — Fri, 12 Dec 2025 00:00:00 +0000

Tuberculosis remains a leading infectious disease globally, with medication non-adherence as a critical barrier to successful treatment. Visually impaired patients face additional challenges in medication management due to inability to read drug labels, thereby increasing the risk of medication errors and non-adherence. Artificial Intelligence (AI) presents innovative solutions through voice-based systems and adaptive technologies tailored to inclusive pharmaceutical care. This systematic literature review examines the efficacy, implementation opportunities, and challenges of AI-integrated pharmaceutical services in improving medication adherence among visually impaired tuberculosis patients. A comprehensive systematic review following PRISMA guidelines was conducted searching PubMed, Scopus, ScienceDirect, and Google Scholar (2018-2025). Twelve studies met inclusion criteria involving RCTs, protocols, and qualitative research examining AI applications in medication adherence and pharmaceutical care for vulnerable populations. AI technologies including voice assistants, natural language processing, smart pillboxes, and computer vision demonstrated 20-40% improvement in medication adherence. VDOT achieved 96.1% treatment completion rates compared to 94.6% for conventional DOT. However, accessibility barriers including limited smartphone ownership (30.4%) and demographic disparities in technology adoption remain significant. While AI-based interventions show promise for inclusive pharmaceutical services, successful implementation requires multidisciplinary collaboration, robust data security protocols, sustained healthcare provider training, and policy support ensuring equitable access for disabled populations.

Optimasi Model Random Forest pada Sistem Deteksi Serangan Jaringan IoT dengan Seleksi Fitur dan Hyperparameter Tuning

Fayruz Rahma — Fri, 12 Dec 2025 00:00:00 +0000

The Internet of Things (IoT) has become an integral part of various aspects of life, from smart homes to critical infrastructure. However, the increasing adoption of IoT also brings significant security challenges, including the growing number of cyberattacks. Therefore, intrusion detection in IoT networks is crucial for identifying and preventing potential threats. This study develops an attack detection model using the Random Forest (RF) algorithm, trained with the ToN_IoT dataset. To enhance model efficiency and accuracy, feature selection is applied using Recursive Feature Elimination (RFE), while parameter optimization is performed through Grid Search with 3-fold cross-validation. The resulting model exhibits high performance, with all evaluation scores exceeding 0.99 based on the Confusion Matrix and AUC-ROC, demonstrating its effectiveness in detecting attacks.

Transformasi Inovasi Perguruan Tinggi: Dampak Knowledge Sharing pada Inovasi Dosen dalam Mendukung Kemandirian dan Ketahanan Bangsa

Susan Febriantina, Siti Nabila, Roni Faslah — Sat, 13 Dec 2025 00:00:00 +0000

Innovation is essential for higher education institutions to adapt to rapid changes and enhance lecturers’ performance. One of the key factors that supports innovative work behavior (IWB) is knowledge sharing, which remains challenging in public universities with strong bureaucratic structures. This study aims to examine the influence of knowledge sharing on IWB among civil servant lecturers in higher education institutions under LLDikti Region III Jakarta. A quantitative causal-explanatory survey was conducted with 322 respondents selected through proportional random sampling. The findings indicate that knowledge sharing has a positive and significant effect on IWB, with a path coefficient of 0.370. The knowledge donating dimension emerged as the strongest contributor, reflecting lecturers’ high willingness to share insights through digital platforms. Meanwhile, knowledge collecting showed a lower score, indicating limited proactiveness in acquiring knowledge from colleagues. These results highlight that fostering a strong knowledge-sharing culture is crucial for stimulating lecturers’ innovative behaviors. In conclusion, institutions must strengthen collaborative ecosystems, enhance knowledge-sharing platforms, and build a work climate that actively encourages information exchange to support innovation in higher education.

Uji Sifat Fisik Sediaan Suspensi Amoxicillin dengan Menggunakan Pati Biji Durian (Durio zibethinus L.) Lokal sebagai Suspending Agent

Ade Irma Fitria Ningsih, Alwi Hadat, Muhammad Sidrotullah, Andy Susbandyah Ifada — Sat, 13 Dec 2025 00:00:00 +0000

Suspension is a liquid preparation that contains solid particles that do not dissolve in the liquid phase, so to dissolve the solid substance a suspending agent is required. Durian seeds are a type of waste that has not been widely utilized. After being studied, durian seeds contain 43.6 grams - 46.2 grams of carbohydrates per 100 grams of seeds which are converted into glucose. The aim of this study was to determine the effectiveness of local durian seed powder as a suspending agent at concentrations of 4%, 6%, and 8%. The research design used in this study was an experimental evaluation study. The results of the study showed that organoleptic tests at concentrations of 4%, 6% and 8% met the requirements for physical properties testing. The results of the pH test at concentrations of 4%, 6% and 8% on the first day were 5.0; 5.2; and 5.6, respectively, while on the sixth day the pH values were 5.2; 5.1 and 5.5, respectively. The results of the specific gravity test at concentrations of 4%, 6% and 8% showed results of 1.052 g/mL; 1.074 g/mL; and 1.096 g/mL, respectively. The results of the viscosity test at concentrations of 4%, 6% and 8% showed results of 51.3 cP; 54.3 cP; and 58.4 cP, respectively. The results of the sedimentation test at concentrations of 4%, 6% and 8% showed results of 0.11; 0.19; and 0.86. The results of the suspension redispersion test at concentrations of 4%, 6%, and 8% showed results of 83%, 86%, and 90%, respectively. From the results of the study, it can be concluded that the physical properties test of amoxicillin suspension preparations using local durian seed starch as a suspending agent only at a concentration of 8% met the physical properties test requirements.

Isolation of Escherichia Coli Flag Gene for Transformation

Muhammad Sidrotullah, Khairil Pahmi — Sun, 14 Dec 2025 00:00:00 +0000

The term "FLAG tag" refers to a hydrophilic peptide (DYKDDDDK) made up of eight residues that has an enterokinase cleavage site and is intended for the immunoaffinity purification and identification of recombinant proteins and strong specificity for monoclonal antibodies. Its hydrophilicity and tiny size help with efficient surface localization, which reduces disruption to protein activity. The method of this research is experimental. The experiment result will be described. Some processes will be done by polymerase chain reaction (PCR) to amplify the gene and then it will be extracted to pure the targeted gene. This research was successful to isolate Escherichia coli FLAG gene for transformation. This gene has important role to encode the flagella in the bacteria.

Penerapan Pembelajaran Mendalam pada Materi Menulis Cerpen Berbantuan Kecerdasan Buatan ChatGPT

Lalu Sirajul Hadi, Ria Saputri, Nia Hikmah — Wed, 17 Dec 2025 00:00:00 +0000

Short story writing is an important literacy skill for junior high school students, yet many of them still struggle to develop coherent plots, shape convincing characters, and generate meaningful ideas. These challenges show the need for learning approaches that strengthen students’ reflective and analytical thinking. This study describes the implementation of a deep learning approach supported by ChatGPT in short story writing lessons and examines its influence on students’ writing performance and engagement. The research employed a descriptive qualitative method involving 40 purposively selected ninth-grade students at SMP Negeri 2 Mataram. Data were collected through classroom observations, questionnaires, and interviews with Indonesian language teachers. The results show clear improvement in students’ ability to organize story elements, develop characters, and refine diction after using ChatGPT. The tool also helped them explore ideas more confidently, which was reflected in an average score increase of 10–12 points. Teachers observed that the learning process became more reflective and meaningful, with students showing greater participation in shaping their narratives. Overall, the study concludes that integrating deep learning with AI-based assistance effectively enhances students’ short story writing skills and encourages more exploratory and reflective thinking.

Strategi Integratif Pemanfaatan AI Generatif dalam Pendidikan Tinggi untuk Meningkatkan Ketahanan Akademik dan Literasi Digital Nasional

Wed, 17 Dec 2025 00:00:00 +0000

The integration of generative artificial intelligence (GenAI) in higher education presents a transformative opportunity to enhance academic resilience and digital literacy across Indonesia. This paper explores a multidisciplinary framework combining educational technology, cognitive science, and policy analysis to assess the impact of GenAI tools on learning personalization, academic productivity, and institutional preparedness. Using a mixed-methods approach, we analyze pilot implementations across three universities and propose a strategic roadmap for scalable adoption. Findings indicate that GenAI can significantly improve feedback cycles, adaptive learning, and research efficiency, provided ethical, infrastructural, and pedagogical challenges are addressed

Analisis Keterampilan Menyimak untuk Penentuan Makna Kata, Baris, dan Bait dalam Puisi “Aku” Karya Chairil Anwar

Ilzami Atmami, Siti Hardiyanti, Syukron Hadi, Akmaluddin Akmaluddin — Sat, 20 Dec 2025 00:00:00 +0000

The ability to listen to poetry is an essential skill in Indonesian language learning, serving to develop literary appreciation, linguistic sensitivity, and an understanding of the aesthetic qualities of language. In the learning process, listening skills are not only focused on recognizing sound elements and rhythm but also on conducting an in-depth interpretation of the meanings contained within the components of a poem. This study aims to analyze students' ability to listen to poetry in determining word meaning, line meaning, and stanza meaning as part of their interpretative competence in appreciating literary works. The method employed is a literature study, using Chairil Anwar's poem "Aku" as the object of analysis. The results indicate that effective comprehension in listening to poetry requires attention to diction, use of figurative language, line structure, and inter-stanza relations, enabling readers to fully grasp the emotional nuances, spirit of struggle, and existential messages embedded in the poem. This study concludes that poetry listening instruction should be oriented toward strengthening interpretative abilities to enhance students' literary literacy skills.

Analisis Statistik Dataset Emosi Bahasa Indonesia untuk Pengembangan Model Klasifikasi Emosi

Yoppy Sazaki, Mgs. Afriyan Firdaus, Junia Kurniati — Sun, 28 Dec 2025 00:00:00 +0000

This study presents a descriptive statistical analysis of an Indonesian emotion dataset as a foundational step for developing emotion classification models in Natural Language Processing (NLP). A representative and balanced dataset is essential for ensuring stable and unbiased model predictions. However, many existing Indonesian emotion datasets exhibit class imbalance, which limits the model’s ability to learn minority emotion patterns.
The dataset analyzed in this study consists of 7,368 text samples annotated into six emotion categories: angry, disgusted, fearful, happy, neutral, and sad. In addition to emotion distribution, this research examines text-length characteristics to better understand the linguistic structure of the dataset, as text length may influence the performance of modern NLP models.
The analysis reveals that sad, happy, and neutral are the dominant categories, while angry and disgusted appear in smaller proportions. Such imbalance may lead to biased predictions toward majority classes during model training. These findings provide an initial understanding of the statistical characteristics of Indonesian emotion data and highlight the importance of applying data-balancing strategies in future research to improve model performance and fairness.

Tingkat Kepuasan Pasien BPJS terhadap Kualitas Pelayanan Kefarmasian di Instalasi Farmasi Rawat Jalan Rumah Sakit Umum NTB Tahun 2025

Nur Oktaviani, Nur Radiah — Sun, 28 Dec 2025 00:00:00 +0000

Pharmacy services are an integral part of the hospital healthcare system, aiming to ensure the safe, rational, and effective use of medicines. Patient satisfaction is an important indicator in assessing the quality of these services. This study aims to determine the level of satisfaction of BPJS (Social Security Agency) patients with the quality of pharmaceutical services in the Outpatient Pharmacy Unit of the West Nusa Tenggara Provincial General Hospital in 2025. This study used a descriptive quantitative method with a survey approach using a questionnaire for 100 BPJS patient respondents. Five SERVQUAL dimensions were used to measure patient satisfaction: reliability, responsiveness, assurance, empathy, and tangibles. The empathy dimension received the highest score at 93.7%, followed by assurance (93.3%), reliability (91.9%), tangibles (91.6%), and responsiveness (91.4%). The results of the study indicate that overall patient satisfaction with the quality of pharmaceutical services is highly satisfied, with an average percentage of 92.3%. This finding indicates that pharmaceutical services at the outpatient pharmacy at the NTB Provincial Hospital have met the expectations of BPJS patients and are able to provide professional, informative, and humane services

Prototipe Alat Pendeteksi Endapan Lumpur Selokan Berbasis Sensor Koil Datar dengan Fitur Buzzer Terintegrasi

Islahudin; Linda Sekar Utami, Hamzah — Fri, 02 Jan 2026 00:00:00 +0000

One of the serious issues that occurs in drainage channels but often receives little attention is the presence of sediment deposits. Sediment accumulation occurs due to soil materials or waste in liquid or fine form that are transported as the waste flows from one location to another. The objectives of this study are: (1) to design a prototype of a flat-coil–based drainage sediment detector equipped with an integrated buzzer feature; and (2) to analyze the level of effectiveness in utilizing the flat-coil–based drainage sediment detector with an integrated buzzer feature. The research uses two methods, namely 1) research method; and 2) quantitative method. The research method was employed to design the flat-coil sensor to be installed on the drainage sediment detection device, whereas the quantitative method was used to measure the level of community satisfaction with the implementation of this device. The community members who served as the sample consisted of 20 residents from Griya Citra Agung III Housing, South Cakranegara, and Kembang Kerang I Hamlet, Aik Dareq Village, selected through random sampling. The data on community satisfaction were collected using a questionnaire instrument. The conclusions of this study are as follows: (1) the flat-coil–based drainage sediment detector equipped with an integrated buzzer feature has been successfully designed and tested; and (2) the responses provided by the community showed the highest score in the aspect of objectives and benefits, reaching 84.40%. This percentage value indicates that this device is very useful in detecting sewer mud sediment by providing an emergency warning in the form of sound via the buzzer.

Cacing Nyale sebagai Entitas Bio-Kultural dari Pesisir Selatan Pulau Lombok: Tinjauan Ringkas Bioekologis dan Praktik Sosial Budaya Terkait

Sat, 07 Feb 2026 00:00:00 +0000

The Bau Nyale phenomenon along the southern coast of Lombok Island represents one of the most compelling biocultural events in Indonesia. This tradition emerges as a cultural response to the annual mass appearance of marine worms, locally known as “nyale worms” by the Sasak people, the indigenous inhabitants of Lombok Island. This study aims to describe nyale worms as a biocultural entity by integrating perspectives from marine ecology, traditional knowledge, and ritual practice. The research employs a literature review and direct field observations conducted in coastal areas of Kuta, Seger, Tanjung Aan, and surrounding sites between 2023 and 2025. The findings indicate that the emergence of the nyale worms is a natural mass-spawning cycle that, in turn, constructs cultural values expressed through meaningful legends, ritual practices, and local identity. Ecologically, nyale worms play an important role in nutrient cycling and trophic dynamics in intertidal ecosystems. Culturally, they function as a medium of social cohesion, a symbol of traditional ecological knowledge, and a marker of the agrarian calendar. This study emphasizes that the conservation of nyale worms cannot be separated from both ecological and cultural contexts. Therefore, a biocultural management approach is required to ensure the sustainability of local traditions, marine ecosystems, and the cultural identity of coastal communities in Lombok.

Model Kepemimpinan Humanistik Aswaja Sebagai Strategi Penguatan SDM dan Ketahanan Budaya Masyarakat Urban

Siti Nabilah, Susan Febriantina, Intan Rizky Wulandari — Sun, 09 Feb 2025 00:00:00 +0000

This research aims to formulate the leadership model and da'wah (Islamic propagation) patterns of K.H. Ahmad Zayadi Muhajir by examining the da'wah approaches he applied, the various challenges he faced, and the solutions he designed within a modern and culturally diverse urban environment. Furthermore, this study underscores the central role of ulamas (Islamic scholars) in preserving Islamic values and cultural heritage amidst continuous social change. Utilizing a qualitative approach based on field research, data collection was carried out through observation, in-depth interviews, and documentation sourced from primary and secondary data. The research findings indicate that K.H. Ahmad Zayadi Muhajir successfully incorporated Aswaja (Ahlus Sunnah wal Jama'ah) values, such as tawasuth (moderation) and tasamuh (tolerance), into the lives of urban communities through the pesantren (Islamic boarding school) education system. The distinctiveness of his da'wah is evident from its early process, which began in his youth through small halaqahs (study circles), which later developed into a pesantren with a significant role. The challenges encountered relate to the friction between global culture and local traditions, as well as a lack of understanding of aqidah (Islamic creed) among the younger generation. To address these issues, K.H. Ahmad Zayadi Muhajir implemented a personalized educational approach that balances spiritual and intellectual aspects