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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Psikologika : Jurnal Pemikiran dan Penelitian Psikologi dCartesian: Jurnal Matematika dan Aplikasi Reaktor JURNAL SISTEM INFORMASI BISNIS Prosiding KOMMIT Jurnal Sains dan Teknologi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Indonesian Journal of Mathematics and Natural Sciences Jurnal Ilmiah Kursor Noetic Psychology Jurnal Teknologi Informasi dan Ilmu Komputer Plantropica: Journal of Agricultural Science Jurnal Transformatika JUITA : Jurnal Informatika Scientific Journal of Informatics Psikodimensia: Kajian Ilmiah Psikologi Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika JEA17: Jurnal Ekonomi Akuntansi Jurnal Sains Matematika dan Statistika BANGUN REKAPRIMA Proceeding of the Electrical Engineering Computer Science and Informatics MNJ (Malang Neurology Journal) Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika Inquiry: Jurnal Ilmiah Psikologi BAREKENG: Jurnal Ilmu Matematika dan Terapan IJEBD (International Journal Of Entrepreneurship And Business Development) JOURNAL SPORT AREA Philanthropy: Journal of Psychology MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Evangelikal: Jurnal Teologi Injili dan Pembinaan Warga Jemaat Aptisi Transactions on Technopreneurship (ATT) Insight: Jurnal Ilmiah Psikologi Jurnal Abdi Insani Computer Science and Information Technologies Jurnal Sains dan Edukasi Sains Jurnal Agrinika : Jurnal Agroteknologi dan Agribisnis SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Indonesian Journal of Applied Research (IJAR) Journal of Science and Science Education JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya INJURITY: Journal of Interdisciplinary Studies Jurnal Polimesin ENDLESS : International Journal of Future Studies d'Cartesian: Jurnal Matematika dan Aplikasi Tesseract: International Journal of Geometry and Applied Mathematics JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Buletin Veteriner Udayana
Adi Setiawan
Universitas Kristen Satya Wacana
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering 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 Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Transportation Veterinary Other

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Dynamics of Understory Vegetation in Agroforestry and Monoculture Teak (Tectona grandis) Stands during Wet and Dry Seasons Setiawan, Adi; Kholifah, Izzah Nurul; Ramadhana, Varotama Putra
Plantropica: Journal of Agricultural Science Vol. 11 No. 1 (2026): Februari
Publisher : Department of Agronomy, Faculty of Agriculture, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jpt.2026.011.1.4

Abstract

Planting patterns and seasonal variability strongly influence the diversity, dynamics, and species composition of understory vegetation in teak (Tectona grandis), a deciduous tree species. This study aimed to assess species diversity, dynamics, and composition of understory vegetation under agroforestry (AF) and monoculture (MN) teak systems during the wet season (WS) and dry season (DS). Field surveys were conducted in February–March and July–August 2023 in teak production forests managed by Perum Perhutani, Kalipare District, Malang Regency, East Java, Indonesia. A total of 117 systematically distributed 1 × 1 m plots were established, consisting of 27 plots in AF and 90 plots in MN stands, with 5 m spacing between plots. Plot locations were recorded using a Global Positioning System (GPS). Within each plot, understory species composition, percentage cover of vegetation, litter, and bare soil were recorded, and Sørensen similarity indices were calculated. Environmental variables measured included canopy openness and rainfall. Canopy openness was quantified using hemispherical photographs taken at 1 m above ground level with a 360° camera and analyzed using GLA 2.0 software. Rainfall data were obtained from the local climatological station. The results revealed clear differences in understory species composition between AF and MN systems. Monoculture teak stands supported 49 species belonging to 23 families, whereas agroforestry stands contained 35 species from 16 families. Vegetation composition and structure differed substantially between AF and MN systems. Understory diversity in MN stands during the dry season was higher than in AF stands, likely because agroforestry practices in the study area resemble intensive monoculture of annual crops. Canopy openness and rainfall were identified as significant drivers influencing understory vegetation cover.
Modification of Cuttlefish Bone-Derived CaO Catalyst via SrO Impregnation for Optimizing the Conversion of Waste Cooking Oil into Biodiesel Saputri, Cut Rahmah; Muhammad, Muhammad; Setiawan, Adi
Reaktor Volume 25 No.3 December 2025
Publisher : Department of Chemical Engineering, Faculty of Engineering, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/reaktor.25.3.%p

Abstract

This study investigates the utilization of waste cooking oil (WCO) as a biodiesel feedstock using a heterogeneous catalyst derived from cuttlefish bone. The catalyst was modified via Sr(NO₃)₂ impregnation at different composition ratios (98:2, 95:5, and 90:10 % w/v) to produce CaO–SrO catalysts, followed by chemical activation with NaOH (2, 4, and 6 g). Catalyst characterization was conducted using scanning electron microscopy coupled with energy-dispersive spectroscopy (SEM–EDS) and X-ray diffraction (XRD) to examine surface morphology, elemental distribution, and crystalline phases. The results indicate that the catalyst with a 90:10 CaO–SrO composition and 6 g NaOH activation (C90S10–N6) exhibited the most homogeneous surface morphology, uniform Sr dispersion, and enhanced phase stability. Transesterification of WCO under a methanol-to-oil molar ratio of 9:1, catalyst loading of 1 wt%, and reaction time of 2 h resulted in a biodiesel yield of 95.5%. The produced biodiesel showed a density of 0.87 g/mL, water content of 0.64%, calorific value of 38.52 MJ/kg, and a reduction in free fatty acid (FFA) content from 2.84% to 1.71%. These findings demonstrate that SrO-modified CaO catalysts derived from cuttlefish bone are effective, sustainable, and economically viable for enhancing biodiesel production from waste cooking oil.
Komparasi Support Vector Machine dengan Logistic Regression terhadap klasifikasi pada data asma Moelyono, Tiara Utary Grace; Setiawan, Adi; Wijaya, Rachel Wulan Nirmalasari
Jurnal Sains dan Edukasi Sains Vol. 9 No. 1 (2026): Jurnal Sains dan Edukasi Sains
Publisher : Faculty of Science and Mathematics, Universitas Kristen Satya Wacana, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/juses.v9i1p1-8

Abstract

Single Nucleotide Polymorphisms (SNP) atau Polimorfisme Nukleotida Tunggal merupakan salah satu jenis variasi genetik yang paling umum pada genom manusia. Salah satu contoh data SNP adalah data asma yang diperoleh dari paket program R yaitu SNPassoc. Penyakit asma  diantaranya dipengaruhi oleh kondisi genetik manusia. Untuk melihat pengaruh SNP pada genetik manusia dapat dilakukan klasifikasi yang merupakan sebuah proses untuk memisahkan kelas data satu dengan yang lainnya. Penelitian ini bertujuan membandingkan kinerja (performance) metode Support Vector Machine (SVM) dan Logistic Regression (LR) untuk klasifikasi terkena penyakit asma atau tidak pada data asma. Empat statistik digunakan guna melihat tingkat kebaikan metode atau kinerja dari metode yaitu akurasi (accuracy), presisi (precision), recall, dan F1-Score. Pada proporsi data uji 20%, metode SVM lebih unggul dengan akurasi, presisi, recall, dan F1-Score sebesar 78,76%, 78,85%, 100%, 88,12% dibandingkan metode LR dengan hasil 77,09%, 79,34%, 96,09%, 78,14%. Demikian juga untuk proporsi data uji yang lain, memberikan hasil yang analog. Berdasarkan hasil yang diperoleh dapat disimpulkan bahwa pada kasus ini metode SVM cenderung lebih baik dari pada metode LR.
TEXT MINING FACTORS INFLUENCING CONSUMER INTENTION TO USE ROBLOX METAVERSE PLATFORM FROM CUSTOMER REVIEWS Putra Yuda, Mario; Setiawan, Adi
JEA17: Jurnal Ekonomi Akuntansi Vol. 11 No. 1 (2026): April
Publisher : Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of metaverse platforms, which are interactive virtual worlds that integrate entertainment, social interaction, and digital economic activity, has been aided by the quick development of digital technology. One of the most well-known metaverse platforms is Roblox, which gives users the chance to communicate, produce content, and take part in a variety of virtual events. This study looks into how consumer intention and reviews are impacted by the Roblox Metaverse Platform. It also examines how the relationship between the platform and customer feedback is mediated by consumer intention. This study employs an explanatory quantitative methodology, gathering data from active Roblox users via online surveys. The sample technique utilized is called snowball sampling, and the data is examined to find correlations between the variables using path analysis. The findings demonstrate that the Roblox Metaverse Platform has a favorable and significant impact on customer reviews as well as consumer intention. Furthermore, client Intention has a favorable and noteworthy influence on Customer Reviews and acts as a mediating variable that links the platform experience to client assessments. Overall, the findings show how crucial user experience is to promoting sustained use and fostering favorable opinions about metaverse platforms. These results imply that enhancing user intention and customer feedback can be achieved by boosting platform quality and interaction features. Keywords: Metaverse, Roblox, Technology Acceptance Model, Consumer Intention, Customer Reviews
Growth and Yield of Six Sugarcane Varieties (Saccharum officinarum L.) Satriyono, Wahono; Novitasari, Adin; Setiawan, Adi; Effendi, Mokhtar; Sitindaon, David Frans Yusuf
Jurnal Agrinika: Jurnal Agroteknologi dan Agribisnis Vol 10 No 1 (2026): MARCH
Publisher : Kadiri University - Faculty of Agriculture

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/agrinika.v10i1.7288

Abstract

Sugarcane (Saccharum officinarum L.) is a plant that can grow on uplands and lowlands. Domestic demand for sugar continuehus to increase in line with population growth and industrial development, but domestic sugar production has not been able to meet this demand. Efforts to increase sugarcane productivity and sugar production can be optimized through adaptive, high-yielding, superior sugarcane varieties. This study revealed morphological differences among six sugarcane varieties, namely PSJT 941, PS 865, PS 862, Bululawang, PA 028, and Kidang Kencana. The results of the study indicate significant morphological differences between varieties. PS 865 exhibits superior vegetative growth with the tallest plant height (224.33 cm) and stem diameter (39.33 mm), while PA 028 demonstrates highly stable characteristics with a coefficient of variation of 4.37%, indicating suitability across various environments. PS 862 and PSJT 941 exhibited longer roots and greater fresh weight, indicating adaptability to wetter conditions. Cluster analysis grouped the six varieties into two major clusters: Cluster 1 (Bululawang, Kidang Kencana, PSJT 941, PS 862) and Cluster 2 (PS 865, PA 032), showing differences in morphological structure.
ANALISIS PENCAHAYAAN BUATAN DI RUANG KELAS LANTAI 2 GEDUNG SEKOLAH C (SC) POLITEKNIK NEGERI SEMARANG: ANALISIS PENCAHAYAAN BUATAN DI RUANG KELAS LANTAI 2 GEDUNG SEKOLAH C (SC) POLITEKNIK NEGERI SEMARANG Setiawan, Adi; Suwarto; Sudarmono; Santosa, Stefanus; Setyono, Karnawan Joko; Wiguna, Edo; Larassati, Dian Sukma; Imansyah, Salmaa R.N; Hudaya, Diah Wulansari
Bangun Rekaprima Vol. 12 No. 1 (2026): April 2026
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/bangunrekaprima.v12i1.7510

Abstract

Adequate lighting is crucial for supporting comfortable and effective classroom learning. This study evaluated the artificial lighting levels in a second-floor classroom on the C Building of Semarang State Polytechnic using a digital luxmeter. The research method used was to measure artificial lighting locally and generally. The final measurement results were compared to SNI 03-6575-2001, which requires a minimum value of 350 lux for classrooms. The measurements showed that most points had lighting values ​​below 200 lux, indicating that the lighting did not meet the standard. The low lighting levels were caused by several malfunctioning lamps and uneven light distribution due to suboptimal fixture layout and room reflectance. These findings indicate the need for lighting system improvements to enhance visual comfort and support the learning process.
WORKSHOP PENINGKATAN LITERASI DATA SISWA MELALUI PEMBELAJARAN BERBASIS PROYEK DIGITAL DI SMP KRISTEN SATYA WACANA SALATIGA Setiawan, Adi; Tita, Faldy; Larwuy, Lennox; Prabaswara, Amazia Ananta; Leipary, Harfeley; Bagaskoro, Daniel Bramantyo Ranu
Jurnal Abdi Insani Vol 13 No 1 (2026): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v13i1.3440

Abstract

The development of the digital era demands data literacy skills as a basic 21st-century skill that is important for junior high school students. Based on observations at SMPK Satya Wacana Salatiga, most students still experience difficulties in understanding, interpreting, and using data in learning. This community service activity aims to improve students' data literacy through hands-on practice-based training with an interactive and contextual learning approach. The implementation method includes socialization, data concept training, data processing simulations using spreadsheets and R software, and evaluation through pre-tests and post-tests. The results showed a significant increase in data analysis skills. The average pre-test score of 3.11 increased to 3.84 in the post-test, with an average normalized gain (K) of 0.40, which is included in the medium category. The paired t-test produced a value of t = -12.49 and p-value = 0.000 (p-value < 0.05), indicating a significant difference between the results before and after the training. A total of 44 students were in the medium improvement category, 38 students were low, and 19 students were high. These findings indicate that R-based data literacy training is effective in improving junior high school students' conceptual understanding, self-confidence, and analytical skills, and is relevant to be developed as a 21st-century learning model.
Co-Authors Adella Septiana Mugirahayu Aldian Umbu Tamu Ama Alfida Tegar Nurani Alicia Anggelia Lumbantoruan ALOYSIUS JOAKIM FERNANDEZ Ariani, Dwi Setya Atina Rahmatalia Bagaskoro, Daniel Bramantyo Ranu Bambang Susanto Baskoro Arie Nugroho Bayu Wijayanto Beni Utomo Christiana Hari Soetjiningsih Christina Maya Indah Susilowati D. B. Nugroho, D. B. Daivi Wardani, Daivi Delsylia Tresnawaty Ufi Denny Indrajaya Denny Indrajaya Deswita, Yenny Dewi Anisa Istiqomah Dewi Lukitasari Diah Wulansari Hudaya, Diah Wulansari Didit Budi Nugroho Djoko Hartanto E. D. Saputri, E. D. Effendi, Mokhtar Eko Sediyono Elsa Septyana Endang Sulistyaningsih Faldy Tita Fika Widya Pratama Florentina Tatrin Kurniati Haay, Happy Alyzhya Hanna Arini Parhusip Hari Slamet Trianto Hari Slamet Trianto Hariyanto Hariyanto Hartiningsih, Tri Hasibuan, Zulfikar Henderi . Henry Junus Wattimanela I Nyoman Suartha Ignatius Agus Supriyono Ilham Hizbuloh Imansyah, Salmaa R.N Irwan Sembiring Iwan Setiawan Iwan Setyawan Joko Siswanto Joni Murti Mulyo Aji JT Lobby Loekmono Keo, Jitro Jemryes Khan, Nani Siska Putri Kholifah, Izzah Nurul Kurniawan, Johanes Dian Kurniawan, Titus Antonius David Larassati, Dian Sukma Larwuy, Lennox Leipary, Harfeley Leipary, Harfely Leonardo Refialy Leonardo Refialy, Leonardo Leopoldus Ricky Sasongko Lilik Linawati Lindin Anderson Luh Made Sudimartini Luh Putu Suciati Lukman Hakim Lydia Soepriyani Fallo masipupu, Frangky Aristiadi Meydelina, Gloria Migunani Migunani Mitha Febby R. Donggori Mitha Febby R. Donggori Modjo, Marchella Ellena Moelyono, Tiara Utary Grace Mohammad Ridwan Muhammad Muhammad Nafisah Riskya Hasna Ni Nyoman Werdi Susari Ninda Lutfiani Novitasari, Adin Olivia Rumahpasal Pariama, Aprillia Mauren Prabaswara, Amazia Ananta Pradani, Wynona Adita Priatna , Wowon Purbaratri, Winny Purwoko, Agus Putra Yuda, Mario Putu Devi Jayanti Qurotul Aini Rachayu, Laras Andriani Rachel Wulan Nirmalasari Wijaya Ramadhana, Varotama Putra Riana Dewi Riskina, Shafira Romauli Basaria Roy Rudolf Huizen Rudhito, Andy Salomina Patty Saputri, Cut Rahmah SARI, EMMA NOVITA Satriyono, Wahono Setivani, Febi Setyono, Karnawan Joko Sitindaon, David Frans Yusuf Sri Suwartiningsih Stefanus Santosa Sudarmono Sulistio Sulistio Suryasatriya Trihandaru Sutarto Wijono Suwarto Suwarto Tamaela, Jemaictry Theo Sarita, Fetriks Theopillus J. H. Wellem Tri Wahyuningsih Tundjung Mahatma Umbu Tamu Ama, Aldian Untung Rahardja Untung Rahardja Vikky Aprelia Windarni Vikky Aprelia Windarni Vincentia Pawestri Wahyuni Kristinawati Waney, Natalia Christy Wattimanela, Henry Junus Wibowo, Mars Caroline Wiguna, Edo Wijayanti, Yunita Puput Windarni, Vikky Aprelia Wisnu Anendya Sekti Yenusi, Yuni naomi Yulius Yusak Ranimpi