Journal of Science and Application Technology (JSAT - Institut Teknologi Sumatera)
Not a member yet
656 research outputs found
Sort by
Statistical Pattern Recognition of Lithosphere Anomalous Activity Along the Indonesian Ring of Fire
Full text linkThe introduction of statistical pattern recognition becomes highly important for assessing disaster threats such as earthquakes. This approach is significantly more comprehensive and suitable for long-term event forecasting. Therefore, in the future, efforts can be promptly made to reduce the risk of disasters resulting from anomalies in lithospheric activity, especially frequent earthquakes in the Sumatra Island region, Indonesia. Statistical pattern analysis of lithospheric activity anomalies can be categorized through classification. Earthquake classification is performed based on magnitude scale and mathematical calculations of earthquake parameter unit conversion. The classification method employed in this research includes machine learning methods like k-nearest neighbor and support vector machine. The evaluation metrics used for machine learning models are model accuracy and confusion matrix tables
Tingkat Kenyamanan Pengunjung terhadap Taman Dipangga berdasarkan Persepsi Pengunjung
Full text linkGreen open space is very important in realizing a green and sustainable city. This study investigates visitor comfort at Dipangga Park, Bandar Lampung, a green open space with historical tourism potential related to the Mount Krakatau eruption. Despite its significance, the park faces issues such as poorly maintained facilities and poor accessibility, contributing to a declining visitor experience. Using a mixed-methods approach with descriptive statistical analysis and a likert scale. Based on the research results, the comfort level of visitors to Dipangga Park based on visitor perceptions is included in the Uncomfortable category. This shows the level of comfort according to visitors' assessment of conditions that are not good and require improvement and maintenance of the park and facilities to enhance safety, social interaction, and overall visitor satisfaction, contributing to a livable city
Pengaruh Suhu Pengeringan terhadap Karakteristik Fisiko-Kimia Bumbu Penyedap dari Limbah Kepala Udang Vanamei (Litopenaeus vannamei)
No full text: Udang merupakan salah satu komoditas perikanan andalan. Tahun 2020 Provinsi Lampung mempunyai volume produksi udang terbesar keempat di Indonesia yaitu sebesar 63.310,45 ton, dengan jenis udang vanamei (Litopenaeus vannamei). Bagian yang dikonsumsi dari udang hanya dagingnya saja, sedangkan kepala dan cangkangnya dibuang begitu saja sehingga menimbulkan bau yang tidak sedap pada saat proses pembusukan terjadi. Salah satu pemanfaatan limbah kepala udang adalah pembuatan penyedap rasa dari limbah kepala udang yang dikeringkan. Tujuan penelitian ini adalah menganalisis pengaruh suhu pengeringan terhadap sifat fisikokimia bumbu penyedap dan menganalisis suhu terbaik untuk pengeringan kepala udang vanamei (Litopenaeus vannamei). Penelitian ini dilakukan pengeringan kepala udang dengan suhu 60 °C, 70 °C, dan 80 °C selama 14 jam menggunakan alat cabinet dryer. Penelitian ini menggunakan Rancangan Acak Lengkap (RAL) non faktorial, hal ini karena faktor yang digunakan hanyalah suhu. Analisis yang dilakukan penelitian ini meliputi analisis uji kadar air, kadar abu, kadar protein, kadar lemak, kadar karbohidrat, uji rendemenen, kelarutan, dan higroskopisitas bumbu penyedap dari limbah kepala udang. Sampel diuji secara duplo dengan dua kali pengulangan uji. Berdasarkan penelitian yang telah dilakukan, dapat ditarik kesimpulan bahwa suhu pengeringan berpengaruh terhadap kadar protein, rendemen, dan higroskopisitas bumbu penyedap limbah kepala udang, serta tidak memiliki pengaruh terhadap kadar abu, kadar lemak, kadar karbohidrat, dan kelarutan bumbu penyedap limbah kepala udang. Berdasarkan analisis, suhu pengeringan berpengaruh terhadap kadar protein, rendemen, dan higroskopisitas, dan tidak memiliki pengaruh terhadap kadar air, kadar abu, akdar lemak, kadar karbohidrat, dan kelarutan bumbu penyedap limbah kepala udang
BALANCING FEAR APPEALS AND SCIENTIFIC STORYTELLING ON INSTAGRAM: AN EXTENDED PARALLEL PROCESS MODEL CASE STUDY IN INDONESIAN ORGANIC SKINCARE
Full text linkThis study examines how an Indonesian organic-skincare SME integrates science-based storytelling, calibrated fear appeals, and micro-influencer collaboration on Instagram to build brand engagement and consumer trust. It addresses the research gap on balancing educational and threat-based messaging in emerging Muslim-majority markets. A 16-week single-case study combined (i) five semi-structured interviews, (ii) document analysis of a four-month content calendar (71 posts), and (iii) post-level Instagram analytics. Thematic coding (κ = 0.82) was integrated with non-parametric tests (Mann–Whitney) in a mixed-methods joint display. Scientific storytelling embedded in a five-stage content workflow lifted saves-to-view ratios and underpinned a 70 % repeat-purchase rate. Fear-appeal posts generated 1.2× more comments but provoked backlash unless paired with coping advice, supporting the Extended Parallel Process Model. Posts co-created with niche influencers achieved six-fold higher views (3,189 vs 524) and engagement rates (2.46 % vs 0.41 %) than stand-alone brand content. Resource-constrained beauty brands should (i) codify a science-first scripting routine, (ii) sequence “threat-then-solution” messages, and (iii) prioritize credibility-matched micro-influencers over costly macro endorsements. This study is the first to integrate live social-media analytics, internal workflow documents, and stakeholder interviews to test how scientific storytelling and fear appeals interact under influencer mediation in an emerging-market cosmetics context, extending content-marketing and fear-appeal theory
Motivasi Petani Mempertahankan Lahan Pertanian Tanaman Padi Studi Kasus Kecamatan Sukoharjo Kabupaten Pringsewu
Full text linkThe conversion of agricultural land into non-agricultural uses can significantly reduce the area available for food crop cultivation, posing serious risks to both local and national food security. In Sukoharjo Subdistrict, rice fields have increasingly been transformed into residential zones. Since rice is the primary staple food and a major crop cultivated by local farmers, it is essential to strengthen their motivation to preserve rice farming land. This study aims to investigate the factors that influence farmers' willingness to maintain rice cultivation in Sukoharjo. A deductive approach was employed, using quantitative methods and multiple line-ar regression analysis to identify key variables affecting farmer motivation. From the farmers’ viewpoint, several elements play a role, including age, farming experience, education level, land size, income, access to production inputs, market prices, agricultural extension services, farmer group activities, and land value. Understanding these factors is crucial for designing effective programs that support farmers in sustaining rice farming and enhancing agricultural productivity. By identifying what drives farmers to continue culti-vating rice, stakeholders can implement targeted interventions that not only protect agricultural land but also ensure long-term food supply stability in the region
Faktor Penentu Keberhasilan Megaproyek Infrastruktur: Studi Kasus 4 PSN di Indonesia
Full text linkThis study explores the success factors in infrastructure megaprojects in Indonesia, focusing on four National Strategic Projects (PSN): Yogyakarta International Airport, MRT Jakarta, Smelter Morowali, and LRT Palembang. The research uses a multiple case study approach and qualitative analysis to assess the success of the projects based on three key elements: a clear vision, total alignment, and adaptation to complexity. The results indicate that Yogyakarta International Airport achieved the highest score due to its success in all three elements, while the other projects faced significant challenges, particularly in alignment and adaptation to social and environmental challenges. MRT Jakarta Phase 1 and Smelter Morowali were somewhat successful despite challenges such as land acquisition and cost increases, while LRT Palembang faced issues with transport integration and financial sustainability. The key success factors identified in these megaprojects include clear project vision, alignment between strategic, operational, and tactical goals at all stakeholder levels, the ability to address technical, social, and environmental challenges, management transparency, infrastructure integration, and community participation. Based on these findings, the study recommends improving communication and community involvement from the planning stage through to implementation, as well as adopting a more holistic adaptive approach to address social and environmental challenges, aiming to enhance project sustainability and ensure benefits are shared equitably by the community
Perkembangan Permukiman Peri Urban di Kota Manado Berdasarkan Preferensi Bermukim Masyarakat
Full text linkThis study investigates the development of peri-urban settlements in Manado City, focusing on residents' housing preferences. The rapid growth of Manado’s urban population has caused housing development to expand into peri-urban areas due to limited space in the city center. This research aims to analyze the patterns of formal housing development in these areas and assess the factors that influence residents' decisions to live in peri-urban Manado. Using a quantitative approach, data were collected from 165 respondents living in formal housing in two peri-urban areas: Paniki Bawah and Sea I. The data were analyzed using descriptive statistics and conjoint analysis. Results show that 56% of respondents identified accessibility, particularly proximity to work and transportation, as the most important factor in choosing housing, followed by the availability of infrastructure (33%), environmental comfort (24%), and housing affordability (21%). Paniki Bawah experienced the highest population growth at 56% from 2012 to 2022, driven by significant formal housing expansion. These findings provide crucial insights for urban planners and policymakers in designing residential areas that meet residents' preferences and efficiently manage land use in the peri-urban regions of Manado
Identifikasi Tingkat Kekotaan dan Faktor-Faktor yang Memengaruhinya di Kawasan Metropolitan Pontianak
Full text linkThe Pontianak Metropolitan Area is part of a provincial strategic area comprising Pontianak City and several districts in Kubu Raya Regency and Mempawah Regency. This study aims to identify the level of urbanization and the factors influencing it within the Pontianak Metropolitan Area. The analysis employs a quantitative method using data normalization, data classification, composite index calculation, and Principal Component Analysis. The variables analyzed include population size, population density, population growth, non-agricultural population, built-up land, socio-economic facilities, and the centrality index. The classification results indicate that the area consists of 22.89% primary villages, 30.12% villages, 36.14% emerging towns, 9.64% small towns, and 1.20% advanced towns. Pontianak City, as the core city, exhibits a higher level of urbanization compared to surrounding areas. Through Principal Component Analysis, two main factors influencing the level of urbanization were identified. The first is the socio-economic factor, which includes variables such as population size, socio-economic facilities, and the centrality index. The second is the demographic and land use factor, encompassing variables such as population density, population growth, non-agricultural population, and built-up land. These findings provide valuable insights into the dynamics of urbanization in the Pontianak Metropolitan Area, serving as a foundation for regional planning and spatial policy-making
Dinamika Pertanian Desa Toto Katon: Analisis Kecenderungan, Peramalan Produksi Padi, dan Korelasi dengan Luas Tanam: Analisis Kecenderungan, Peramalan Produksi Padi, dan Korelasi dengan Luas Tanam
Full text linkIDENTIFIKASI KARAKTERISTIK RUANG KREATIF DALAM MENDUKUNG KOTA KREATIF: STUDI KASUS KOTA BANDUNG
Full text linkBandung City exemplifies this as part of the UNESCO Creative Cities Network. While the government establishes creative spaces like the Bandung Creative Hub, organic community-driven spaces also thrive. Each space possesses unique characteristics, but ideal creative spaces should meet criteria related to institutional support, flexible regulations, and diverse human resources. This mixed-methods study aims to identify the characteristics of Bandung's creative spaces based on institutional, regulatory, and human resource aspects. Qualitative data from interviews will be quantitatively assessed to compare with ideal criteria. Understanding these characteristics can inform urban planning and policy for fostering creative economies. Furthermore, creative space is also believed that it can foster creativity, innovation, and knowledge-based economic growth