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JRST (Jurnal Riset Sains dan Teknologi)
Published by Universitas Muhammadiyah Purwokerto
ISSN : 25799118     EISSN : 25499750     DOI : http://dx.doi.org/10.30595/jrst
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering
JRST (Jurnal Riset Sains dan Teknologi) adalah jurnal peer reviewed dan Open-Acces. JRST merupakan jurnal yang diterbitkan oleh Lembaga Publikasi Ilmiah dan Penerbitan (LPIP) Universitas Muhammadiyah Purwokerto. JRST mengundang para peneliti, dosen, dan praktisi di seluruh dunia untuk bertukar dan memajukan keilmuan di bidang sains dan teknologi yang meliputi bidang Matematika, Kimia, Biologi, Teknologi Rekayasa dan Keteknikan, Farmasi, Geografi, Komputer dan Teknologi Informasi. Dokumen yang dikirim harus dalam format Ms. Word dan ditulis sesuai dengan panduan penulisan. JRST terbit 2 kali dalam setahun pada bulan Maret dan September.
Arjuna Subject : Energi (semua kategori) - Energi (Lain-Lain)
Articles 191 Documents
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Cyberloafing Analytics: Predicting Causes Using Machine Learning Models Ferdiansah, Gilang; Yuadi, Imam
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 1, March 2026: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i1.25997

Abstract

Cyberloafing refers to the practice of employees utilizing internet access for non-job-related activities during work hours. Cyberloafing poses a dilemma for organizations, as it is deemed aberrant conduct that might impact overall performance. Consequently, organizations must ascertain the determinants of cyberloafing. This study seeks to identify a suitable predictive model for the determinants of cyberloafing behavior in the workplace using a machine learning methodology. The employed methodology utilizes the conventional data mining cycle, namely the Cross-Industry Standard Process for Data Mining (CRISP-DM), with Orange Data Mining as the application tool. The findings indicate that Logistic Regression is the most effective model for forecasting cyberloafing. Logistic Regression yields performance scores of 90.5% Precision and 88.9% Recall. Conversely, the Naïve Bayes model had the lowest metrics, with a Precision of 64.8% and a Recall of 51.9%. This study serves as a reference demonstrating that Logistic Regression effectively predicts cyberloafing. This study enables firms to examine the factors contributing to cyberloafing, facilitating the development of policies aimed at mitigating its adverse effects.
Antibacterial Property Evaluation of Ethanolic Extract of Plantago major L. and Its Fractions Prismawan, Deka; Michael; Gunawan, Gwyneth Yovela; Kambira, Pretty Falena Atmanda
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 1, March 2026: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i1.26388

Abstract

The escalating global health crisis of antibiotic resistance necessitates the search for novel antibacterial agents from natural sources. This study investigated the potential of Plantago major L., a plant used in traditional medicine, as a source of antibacterial compounds. It aimed to evaluate the antibacterial activity of its ethanol extract and its polarity-based fractions against Escherichia coli and Staphylococcus aureus. Dried P. major L. leaves were extracted with ethanol using maceration. The crude extract was then fractionated using a sequential liquid-liquid extraction with hexane, ethyl acetate, and n-butanol. The antibacterial activity of the extract and all fractions was tested against S. aureus (ATCC 25923) and E. coli (ATCC 25922) using the broth microdilution method to determine the Minimum Inhibitory Concentration (MIC). Results revealed distinct antibacterial profiles based on fraction polarity. The ethyl acetate fraction exhibited the strongest activity against S. aureus with an MIC of 0.104 mg/mL, indicating the presence of potent semi-polar compounds like flavonoids effective against gram-positive bacteria. Conversely, the n-butanol fraction was most effective against E. coli with an MIC of 3.3 mg/mL, suggesting the role of hydrophilic compounds such as saponins in disrupting the more complex gram-negative membrane. The crude ethanol extract showed lower activity, confirming the critical role of fractionation in concentrating the bioactive compounds. Plantago major L. possesses significant antibacterial potential, with its active compounds concentrated in specific polarity-based fractions. These findings validate its traditional use and support its further development as an alternative therapy in the face of growing antibiotic resistance.
Conveyor Performance Analysis In Secondary Packaging Using the Time and Motion Study Method: Analisis Kinerja Conveyor pada Pengemasan Sekunder dengan Metode Time And Motion Study Fadhli, Haiyul; Anggraeni, Ica Winanda; Mudia, Whulan; Kamil, Marshal M.
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 1, March 2026: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i1.26423

Abstract

To avoid a shortage of drug stocks in the market with the high number of market demands, PT. Trifa Raya Laboratories always evaluates to achieve good product quality, one of which is in the field of packaging by optimizing the amount of labor and time needed using conveyor tools. The purpose of this study is to determine the optimal amount of manpower needs in the secondary packaging process at PT. Trifa Raya Laboratories using the Time and Motion Study method. This method was chosen to measure the time and efficiency of worker movements in each packaging activity, so that it can increase productivity. Data were collected through direct observation in the field with variations in the number of workers (5, 6, and 7 people) and were carried out three times every 5 minutes at different times. The results showed that the packaging of envelopes and small boxes was optimal with 7 workers, resulting in productivity per person of 21.33 and 52.24 respectively. Meanwhile, the packaging of medium and large boxes is optimal with 5 and 6 workers, resulting in productivity per person of 68.53 and 65.44 respectively. The conclusions of this study emphasize the importance of determining the ideal number of workers to increase efficiency and productivity in the secondary packaging process, as well as the need to pay attention to the level of complexity of packaging and the skills of workers. ABSTRAK (Bahasa Indonesia) Untuk menghindari kekosongan stok obat di pasaran dengan tinggi nya jumlah permintaan pasar, PT. Trifa Raya Laboratories selalu melakukan evaluasi untuk mencapai mutu produk yang baik salah satunya pada bidang pengemasan dengan mengoptimalkan jumlah tenaga kerja dan waktu yang dibutuhkan menggunakan alat conveyor. Tujuan dari penelitian ini untuk menentukan jumlah kebutuhan tenaga kerja yang optimal pada proses pengemasan sekunder di PT. Trifa Raya Laboratories dengan menggunakan metode Time and Motion Study. Metode ini dipilih untuk mengukur waktu dan efisiensi gerakan pekerja dalam setiap aktivitas pengemasan, sehingga dapat meningkatkan produktivitas. Data dikumpulkan melalui observasi langsung di lapangan dengan variasi jumlah pekerja (5, 6, dan 7 orang) dan dilakukan sebanyak tiga kali setiap 5 menit pada waktu yang berbeda. Hasil penelitian menunjukkan bahwa pengemasan dus amplop dan kecil optimal dengan 7 pekerja, menghasilkan produktivitas per orang masing-masing sebesar 21,33 dan 52,24. Sementara itu, pengemasan dus sedang dan besar optimal dengan 5 dan 6 pekerja, menghasilkan produktivitas per orang masing-masing sebesar 68,53 dan 65,44. Kesimpulan dari penelitian ini menekankan pentingnya penentuan jumlah tenaga kerja yang ideal untuk meningkatkan efisiensi dan produktivitas dalam proses pengemasan sekunder, serta perlunya perhatian terhadap tingkat kerumitan pengemasan dan keterampilan pekerja.
Analysis of Alternative Substitute Materials for Concrete Production Using Word Cloud Andaryati, Andaryati; Suharso, Akbar Bayu Kresno; Raharja, Danang Setiya; Saurina, Nia
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 1, March 2026: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i1.26434

Abstract

Concrete is a construction material whose use continues to increase every year. This need is based on concrete forming materials, especially cement, which has experienced quite a large increase. Word cloud is a system that creates visualizations of words by emphasizing the frequency of occurrence of related words in written discourse. This research uses the text mining method with the help of Word Cloud and Term Document Matrix to analyze 76 articles as a dataset that discuss various concrete substitute materials including husk ash, dry bamboo leaves, construction waste, husk ash, and shells. The use of Word Cloud in the analysis of concrete substitute materials provides a fast and effective visualization of the frequency and relevance of words in the text and helps identify environmentally friendly substitute materials, the most widely used in the industrial world and has concrete compressive strength according to concrete quality standards based on the frequency of word occurrences. key in the dataset
Identification of Single Nucleotide Variation (SNV) -1082 A/G Gen Interleukin 10 (IL-10) in Tuberculosis Patients Using ARMS-PCR Method: Identifikasi Single Nucleotide Variation (SNV) -1082 A/G (rs1800896) Gen Interleukin 10 (IL-10) pada Penderita Tuberkulosis Menggunakan Metode ARMS-PCR Saroh, Dewi; Hana, Aninda
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 1, March 2026: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i1.26435

Abstract

Tuberculosis (TB) is a significant global health problem and remains one of the leading causes of high morbidity and mortality worldwide. Genetic variation in the interleukin-10 (IL-10) gene, particularly SNV -1082 A/G (rs1800896), plays an important role in regulating the immune response to Mycobacterium tuberculosis. This study aimed to determine the distribution of genotypes and alleles of SNV -1082 A/G (rs1800896) in the IL-10 gene among tuberculosis patients and healthy individuals. A descriptive study was conducted using a total of 12 blood samples (6 active TB patients from Puskesmas Delanggu Klaten and 6 healthy individuals as controls). Identification of the SNV was performed using the ARMS-PCR method, followed by electrophoresis and DNA band analysis. The results showed that the A/A genotype was more frequently observed in TB patients, while the A/G genotype was more frequent in healthy individuals. The A allele was more dominant in TB patients, whereas the G allele was more common in the healthy group. These findings provide a preliminary overview of genotype and allele distribution in a limited population. However, the very small sample size represents a major limitation of this study, and therefore the findings should only be considered preliminary and cannot be generalized. Further studies with larger sample sizes are required to confirm these results.   ABSTRAK (Bahasa Indonesia) Tuberkulosis (TB) merupakan masalah kesehatan global yang signifikan dan masih menjadi penyebab morbiditas dan mortalitas tinggi. Variasi genetik pada gen interleukin-10 (IL-10), khususnya SNV -1082 A/G (rs1800896), berperan penting dalam regulasi respon imun terhadap Mycobacterium tuberculosis. Penelitian ini bertujuan untuk mengetahui distribusi genotipe dan alel SNV -1082 A/G (rs1800896) gen IL-10 pada pasien tuberkulosis dan individu sehat. Penelitian dilakukan secara deskriptif dengan total 12 sampel darah (6 pasien TB aktif dari Puskesmas Delanggu Klaten dan 6 individu sehat sebagai kontrol). Identifikasi SNV dilakukan menggunakan metode ARMS-PCR, dilanjutkan dengan elektroforesis dan analisis pita DNA. Hasil menunjukkan bahwa genotipe A/A lebih banyak ditemukan pada pasien TB, sedangkan genotipe A/G lebih banyak pada individu sehat. Alel A lebih dominan pada pasien TB, sementara alel G lebih banyak pada kelompok sehat. Hasil ini memberikan gambaran awal distribusi genotipe dan alel pada populasi terbatas. Namun, jumlah sampel yang sangat kecil menjadi keterbatasan utama penelitian ini, sehingga temuan hanya dapat dianggap sebagai data awal (preliminary) dan belum dapat digeneralisasi. Penelitian lanjutan dengan jumlah sampel lebih besar sangat diperlukan untuk mengonfirmasi hasil ini    
Analysis of risk factors for recurrent stroke in stroke patients: Analisis Faktor Risiko Kejadian Stroke Berulang Pada Pasien Stroke Dwiyanti, Luvty S.L.; Abdillah, Syamsudin; Sumarny, Ros; Diandy, M. Ivan
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 1, March 2026: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i1.26489

Abstract

Stroke is the second leading cause of death after heart disease. It is reported that annually, over 15 million people worldwide suffer a stroke, resulting in disability or death. Indonesia has the highest stroke mortality rate among countries in Southeast Asia. Within 30 days, the risk of recurrent stroke is very high, with one contributing factor being non-adherence to antiplatelet therapy for recurrent stroke prevention. This study aimed to analyze medication adherence and risk factors associated with recurrent stroke incidents. The research employed an observational analytic method with a case-control study design. The study sample consisted of recurrent stroke patients and post-stroke patients, with 65 patients in each group, recruited from the neurology polyclinic of "X" Hospital in Jakarta during the period of December 2024 to January 2025. Data were collected using questionnaires and the Hospital Management Information System (SIMRS). Bivariate analysis was conducted using the Chi-Square test, and multivariate analysis was performed using multiple logistic regression. The results indicated that the respondent characteristics in both groups were patients aged 18–64 years, male, unemployed, and with low income below the regional minimum wage. Bivariate analysis identified the following risk factors associated with recurrent stroke: medication adherence, physical activity, blood pressure levels, and triglyceride levels. Multivariate analysis. ABSTRAK (Bahasa Indonesia) Stroke merupakan penyebab kematian tertinggi kedua setelah penyakit jantung, Dilaporkan bahwa setiap tahun >15 juta orang diseluruh dunia menderita stroke yang mengalami disabilitas bahkan kematian. Indonesia merupakan Negara dengan angka kematian tertinggi pada penderita stroke di Asia Tenggara. Dalam waktu 30 hari, resiko stroke berulang sangat tinggi, Salah satu pemicunya adalah ketidakpatuhan terhadap terapi pencegahan stroke berulang dengan antiplatelet. Penelitian ini bertujuan untuk menganalisis kepatuhan penggunaan obat dan faktor risiko yang berhubungan dengan kejadian stroke berulang. Metode penelitian yang digunakan adalah observasional analitik dengan desain case control study. Sampel penelitian adalah pasien stroke berulang dan pasien pasca stroke dengan jumlah sampel masing – masing sebanyak 65 pasien di poli saraf Rumah sakit “X” Jakarta periode Desember 2024 – Januari 2025. Pengambilan data menggunakan kuesioner dan SIMRS (Sistem Manajemen Rumah Sakit). Analisis bivariat menggunakan Chi Square, analisis multivariat dengan regresi logistik berganda. Hasil penelitian menunjukkan bahwa karakteristik responden di kedua kelompok adalah pasien dengan usia 18 – 64 tahun, berjenis kelamin laki – laki, tidak bekerja dan memiliki pendapatan rendah di bawah UMR. Secara bivariat, diperoleh faktor risiko yang berhubungan dengan kejadian stroke berulang adalah kepatuhan penggunaan obat, aktivitas fisik, nilai tekanan darah dan nilai trigliserida. Hasil analisis multivariat, variabel yang paling dominan berhubungan dengan kejadian stroke berulang adalah nilai tekanan darah yang tidak terkontrol (OR 0.216 dengan CI 0.086-0.543) pasien dengan nilai tekanan darah yang tidak terkontrol memiliki risiko 4.6 kali mengalami kejadian stroke berulang dibandingkan dengan pasien yang mempunyai nilai tekanan darah terkontrol.    
Bioethanol Synthesis from Areca Nut (Arecha catechu L.) Fiber Waste through Variations in Hydrochloric Acid Concentration and Hydrolysis Time: Sintesis Bioetanol dari Limbah Sabut Pinang (Arecha catechu L.) melalui Variasi Konsentrasi Asam Klorida Dan Waktu Hidrolisis Kolo, Sefrinus Maria Dolfi; Edi, Eduardus; Aki, Desidarius
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 1, March 2026: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i1.26945

Abstract

Bioethanol is produced through the fermentation of glucose by microbes from biomass containing sugar, starch, cellulose, and lignocellulose. This study aims to determine the effect of varying concentrations of hydrochloric acid and hydrolysis time on the yield of reducing sugars and bioethanol concentration from areca nut husks. This study uses two independent variables, namely variations in acid concentration and hydrolysis time on the optimum acid concentration. The method used is the separate hydrolysis method and fermentation with variations in hydrochloric acid concentration of 1; 3; 5; and 7% and variations in hydrolysis time between 40; 50; 60; and 70 minutes at a temperature of 200°C. Fermentation was carried out with 10% inoculum using Saccharomyses cerevisiae yeast at room temperature for 4 days with a stirring speed of 200 rpm. Analysis of reducing sugars was carried out using a UV-Vis spectrophotometer, while ethanol content was analyzed using a GC-FID instrument. The results of the analysis showed that the optimum reducing sugar content was 65.25% obtained at a hydrochloric acid concentration of 3% and a hydrolysis time of 60 minutes. Ethanol analysis using GC-FID showed three peaks with an ethanol retention time of 3.263 minutes and an ethanol content of 22.29%.   ABSTRAK (Bahasa Indonesia) Bioetanol dihasilkan melalui fermentasi glukosa oleh mikroba dari biomassa yang mengandung gula, pati, selulosa, dan lignoselulosa. Penelitian ini bertujuan mengetahui pengaruh variasi konsentrasi asam klorida dan waktu hidrolisis terhadap perolehan gula pereduksi dan konsentrasi bioetanol dari sabut pinang. Penelitian ini menggunakan dua variabel independen, yaitu variasi konsentrasi asam dan waktu hidrolisis terhadap konsentrasi asam optimum. Metode yang digunakan adalah metode hidrolisis terpisah dan fermentasi dengan variasi konsentrasi asam klorida 1; 3; 5; dan 7% serta variasi waktu hidrolisis antara 40; 50; 60; dan 70 menit pada suhu 200 °C. Fermentasi dilakukan dengan inokulum 10% menggunakan khamir Saccharomyses cerevisiae pada suhu kamar selama 4 hari dengan kecepatan pengadukan 200 rpm. Analisis gula pereduksi dilakukan menggunakan spektrofotometer UV-Vis, sedangkan kadar etanol dianalisis menggunakan instrumen GC-FID. Hasil analisis menunjukkan kadar gula pereduksi optimum sebesar 65.25% yang diperoleh pada konsentrasi asam klorida 3% dan waktu hidrolisis 60 menit. Analisis etanol menggunakan GC-FID menunjukkan tiga puncak dengan waktu retensi etanol 3.263 menit dan perolehan kadar etanol sebesar 22.29%.  
Quality Control Analysis of Instant Tea Packaging Using the FMEA Method at PT Respati Kemasindah: Analisis Pengendalian Kualitas Kemasan Teh Instan Menggunakan Metode FMEA di PT Respati Kemasindah Imam, Saeful; Suci Puji Lestari
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 1, March 2026: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i1.27104

Abstract

PT Respati Kemasindah is a company engaged in the conversion of flexible packaging using rotogravure printing technology, including the production of instant tea packaging. The defect rate of instant tea packaging in the production process reaches 8.48%, which exceeds the company’s tolerance limit of 3%, indicating deficiencies in quality control. This study aims to analyze potential failures occurring in the instant tea packaging production process and to determine improvement priorities to reduce the defect rate. Failure Mode and Effects Analysis (FMEA) is employed by calculating the Risk Priority Number (RPN) based on severity, occurrence, and detection parameters. The results indicate that dry lamination defects have the highest RPN value of 155, followed by misprint defects and uneven printing. Based on these findings, improvement strategies are proposed with a focus on enhancing machine maintenance effectiveness, ensuring consistent implementation of standard operating procedures (SOPs), and improving operator competence and working conditions. This study is expected to serve as a fundamental reference for decision-making in improving quality control effectiveness and reducing the defect rate of instant tea packaging.   ABSTRAK (Bahasa Indonesia) PT Respati Kemasindah merupakan perusahaan di bidang converting kemasan fleksibel berbasis cetak rotogravure, salah satunya yaitu kemasan teh instan. Persentase kecacatan kemasan teh instan sebesar 8,48% dalam proses produksi kemasan yang melampaui batas toleransi perusahaan sebesar 3%, mengindikasikan adanya permasalahan dalam pengendalian kualitas.  Penelitian ini bertujuan untuk menganalisis potensi kegagalan yang terjadi dalam proses produksi kemasan teh instan serta menentukan prioritas perbaikan guna menurunkan tingkat kecacatan produk. Metode yang digunakan adalah Failure Mode and Effects Analysis (FMEA) dengan menghitung nilai Risk Priority Number (RPN) berdasarkan parameter severity, occurrence, dan detection. Hasil penelitian menunjukkan bahwa cacat dry laminasi memiliki nilai RPN tertinggi sebesar 155, diikuti oleh cacat misprint, dan unsmooth printing. Berdasarkan hasil tersebut, usulan perbaikan difokuskan pada peningkatan efektivitas pemeliharaan mesin, penegakan konsistensi penerapan SOP, serta peningkatan kompetensi dan kondisi kerja operator. Penelitian ini diharapkan dapat menjadi acuan dasar pengambilan keputusan dalam meningkatkan efektivitas pengendalian kualitas dan menurunkan tingkat kecacatan kemasan teh instan.
Clustering Analysis and Heavy Thunderstorm Prediction Using K-Means, Probit, dan Logit: Analisis Klasterisasi dan Prediksi Hujan Lebat Petir Menggunakan Model K-Means, Probit, Logit Dwi Hastuti, Yussi; Arief Wibowo
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 1, March 2026: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i1.27174

Abstract

Weather in Indonesia is often influenced by seasonal phenomena, such as the peak of the rainy season, which exhibits highly dynamic patterns. These conditions frequently lead to extreme weather events, such as heavy rain accompanied by thunderstorms, affecting daily community activities. Therefore, it is essential to identify weather patterns and accurately predict the potential for thunderstorms, both for risk mitigation and activity planning. This study aims to predict thunderstorms on the 8th day and over the following seven days. Furthermore, it seeks to identify which provinces are likely to experience thunderstorms during this period. The method employed is K-Means clustering with the Elbow technique to determine the optimal number of clusters. Weather prediction is then performed using logit and probit models with a threshold of 0.2. The results indicate that the optimal number of clusters is five. Predictions for the 8th day show that two clusters have the potential to experience thunderstorms, with probabilities of 0.2 and 0.3, respectively. Forecasts for the next seven days reveal that 14 provinces are likely to experience thunderstorms, with probabilities ranging from 0.01 to 0.11. This study provides a clear overview of thunderstorm potential across various regions in Indonesia. By understanding these weather patterns, communities are expected to better prepare and reduce risks associated with extreme weather conditions.   ABSTRAK (Bahasa Indonesia) Cuaca di Indonesia sering dipengaruhi oleh fenomena musiman, seperti puncak musim hujan, yang memiliki pola sangat dinamis. Kondisi tersebut kerap menimbulkan cuaca ekstrem, seperti hujan lebat disertai petir, yang berdampak pada aktivitas masyarakat sehari-hari. Oleh karena itu, penting untuk mengidentifikasi pola cuaca dan memprediksi potensi hujan petir secara akurat, baik untuk mitigasi risiko maupun perencanaan aktivitas masyarakat. Penelitian ini bertujuan memprediksi hujan petir pada hari ke-8 serta selama tujuh hari ke depan. Selain itu, penelitian juga bertujuan mengidentifikasi provinsi yang berpotensi mengalami hujan petir pada periode tersebut. Metode yang digunakan adalah klasterisasi K-Means dengan teknik Elbow untuk menentukan jumlah klaster optimal. Prediksi cuaca dilakukan menggunakan model logit dan probit dengan ambang batas (threshold) 0,2. Hasil penelitian menunjukkan jumlah klaster optimal adalah lima. Prediksi untuk hari ke-8 mengindikasikan terdapat dua klaster yang berpotensi mengalami hujan petir dengan probabilitas masing-masing sebesar 0,2 dan 0,3. Prediksi selama tujuh hari ke depan menunjukkan sebanyak 14 provinsi berpotensi mengalami hujan petir dengan tingkat probabilitas bervariasi antara 0,01 hingga 0,11. Penelitian ini memberikan gambaran yang jelas mengenai potensi hujan petir di berbagai wilayah Indonesia. Dengan memahami pola cuaca ini, diharapkan masyarakat dapat mempersiapkan diri dengan lebih baik dan mengurangi risiko yang mungkin timbul akibat cuaca ekstrem.
Micropropagation of Wooden Banana (Musa paradisiaca L. cv. Kayu) Through In Vitro Sustiana, Maulia; Muspi'ah, Aida; Julisaniah, Nur Indah
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 1, March 2026: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i1.27457

Abstract

Wooden banana (Musa paradisiaca L. cv. Kayu) is a local banana variety that had unique characteristics, including a sweet taste, fragrant aroma, thicker skin, longer shelf life, and high economic value. This banana variety had a long growth period, requiring approximately 9 to 11 months to flower and bear fruit. Additionally, a single plant usually produced only one to three suckers, making wooden banana seedlings rare and difficult to obtain. To prevent its potential extinction, seedling propagation was necessary, with one possible solution being tissue culture techniques.   This study aimed to determine the optimal concentration of Benzyl Amino Purine (BAP) and the most effective culture medium for the growth of wooden banana shoots. The research employed an experimental method, testing various BAP concentrations (1 ppm, 2 ppm, 3 ppm, 4 ppm, and 5 ppm) on solid and semi-solid culture media. Data were analyzed descriptively based on the number of shoots produced under each treatment. The results showed that concentration of 3 ppm Benzyl Amino Purine (BAP) produced the highest shoot proliferation. The solid-liquid medium was the most effective culture medium, which produced an average of 4.33 shoots per explant. These findings indicate that appropriate BAP concentration and culture medium significantly enhance in vitro micropropagation of wooden banana.

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