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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 24 Documents
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Search results for , issue "Volume 10 No. 1, March 2026: JRST" : 24 Documents clear
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.
Analysis of Bioactive Components and In-Silico Study of Ethanol Extract from Eleutherine Bulbosa (Mill.) Urb. (Bawang Dayak) using UHPLC-MS Method: Analisis Komponen Bioaktif dan Kajian In Silico Ekstrak Etanol Dari Eleutherine bulbosa (Mill.) Urb. (Bawang Dayak) dengan Metode UHPLC-MS Hairunisa, Indah; Prasetyo, Afin Irgi; Awalia, Dinda Kholifatul; Kurniawan, Ferdi; Lestari, Dwi; Bakar, Mohd Fadzelly Abu
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.v10i1.27746

Abstract

Breast cancer is one of the most common non-communicable diseases in Indonesia that characterized by uncontrolled growth of abnormal cells. The high incidence and mortality rates associated with this disease have driven the search for new anticancer agents, including those derived from natural sources such as Eleutherine bulbosa (Mill.) Urb. (Dayak onion). The bulbs of the Dayak onion are known to contain bioactive compounds such as flavonoids and naphthoquinones, which may possess anticancer activity. This study aims to identify secondary metabolites from Dayak onion ethanol extract using UHPLC-MS, as well as evaluate the ADMET profile (Absorption, Distribution, Metabolism, Excretion, and Toxicity) and in silico activity of the identified compounds against the HER2 receptor (Human Epidermal Growth Factor Receptor 2). The results of the UHPLC-MS analysis revealed the presence of 233 compounds in the Dayak onion ethanol extract, with 23 compounds showing the highest reactivity. After screening based on the Lipinski Rule of Five criteria, as well as ADME and toxicity predictions, one potential candidate compound was identified: 5-O-Methylvisamminol. This compound meets all the physicochemical profile criteria (Lipinski’s Rule of Five) for oral drugs and exhibits a satisfactory pharmacokinetic profile with an HIA value of 95.7%; Caco-2 cell permeability of 39.7 nm/s; PBB of 72.1%;  BBB 0.814, and through the Ames test, this compound was also found to be non-mutagenic and non-carcinogenic. Molecular docking analysis showed that 5-O -Methylvisamminol has a binding energy (∆G) of -9.1 kcal/mol when interacting with the HER2 receptor and can interact with five key amino acids (ASP863, LEU852, VAL734, LEU796, and LEU800) through hydrophobic interactions. The compound 5-O-Methylvisamminol is predicted to have potential as an anti-breast cancer agent that can target HER2.   ABSTRAK (Bahasa Indonesia) Kanker payudara merupakan salah satu penyakit tidak menular yang paling sering ditemukan di Indonesia yang ditandai oleh pertumbuhan sel abnormal yang tidak terkendali. Tingginya angka kejadian dan kematian akibat penyakit ini mendorong pencarian agen antikanker baru, termasuk dari bahan alami seperti Eleutherine bulbosa (Mill.) Urb. (bawang dayak). Umbi bawang dayak diketahui mengandung senyawa bioaktif seperti flavonoid dan naftokuinon yang berpotensi memiliki aktivitas antikanker. Penelitian ini bertujuan untuk mengidentifikasi metabolit sekunder dari ekstrak etanol bawang dayak menggunakan metode UHPLC-MS, serta mengevaluasi profil ADMEToks (Absorpsi, Distribusi, Metabolisme, Ekskresi, dan Toksisitas) dan aktivitas in silico dari senyawa teridentifikasi terhadap reseptor HER2 (Human Epidermal Growth Factor Receptor 2). Hasil dari analisis UHPLC-MS menunjukkan adanya 233 senyawa dalam ekstrak etanol bawang dayak, dengan 23 senyawa yang menunjukkan reaksi paling tinggi. Setelah dilakukan pemilahan berdasarkan kriteria Lipinski Rule of Five serta prediksi ADME dan Toksisitas, diperoleh satu kandidat senyawa potensial, yaitu 5-O-Methylvisamminol. Senyawa ini memenuhi semua kriteria profil fisikokimia (Lipinski Rule of Five) untuk obat oral dan menunjukkan profil farmakokinetik yang cukup baik dengan nilai HIA 95,7%; sel Caco-2 39,7 nm/detik; PBB 72,1%;  BBB 0,814 dan melalui uji Ames senyawa ini juga tidak bersifat mutagenik maupun karsinogenik. Analisis molecular docking menunjukkan bahwa 5-O-Methylvisamminol memiliki energi pengikatan (∆G) sebesar -9,1 kkal/mol ketika berinteraksi dengan reseptor HER2, serta mampu berinteraksi dengan lima asam amino kunci (ASP863, LEU852, VAL734, LEU796, dan LEU800) melalui interaksi hidrofobik. Senyawa 5-O-Methylvisamminol diprediksi memiliki potensi sebagai agen antikanker payudara yang dapat menargetkan HER2.
Discovery of Novel GLUT4 Inhibitors from Kawista (Limonia Acidissima L.) Bioactive Compounds Through in Silico Approaches Muchlisin, M. Artabah; Astuti, Engrid Juni; Cahyani, Aura Lintang Ayu; Andita, Felia Rahma Cahya; Abdillah, Nur Islami Vikri; Inayah, Aghnia Fuadatul; Fakih, Taufik Muhammad
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.v10i1.28366

Abstract

GLUT4 (Glucose Transporter Type 4) is a key regulator of glucose homeostasis in muscle and adipose tissues. Although inhibition of GLUT4 may exacerbate hyperglycemia in diabetes, it represents a potential therapeutic strategy in cancer by limiting glucose uptake in cells reliant on aerobic glycolysis (the Warburg effect). Natural secondary metabolites are promising candidates for modulating GLUT4 activity. This study aimed to identify potential GLUT4 inhibitors from bioactive compounds of Limonia acidissima (kawista) using in silico approaches. Secondary metabolites of kawista were screened for ADMET properties and oral bioavailability. Molecular docking was performed against the cryo-EM structure of GLUT4 (PDB ID: 7WSM), followed by 200 ns molecular dynamics simulations for the top-ranked ligands. Structural stability was evaluated using RMSD, RMSF, radius of gyration (Rg), and solvent-accessible surface area (SASA). Binding free energies were calculated using the MM-PBSA method. Docking analysis showed that the native ligand cytochalasin B exhibited strong binding affinity (−9.13 kcal/mol, Ki 202.26 nM). Among 43 kawista metabolites, stigmasterol (−8.6 kcal/mol, Ki 494.04 nM) and lupeol (−7.91 kcal/mol, Ki 1.58 μM) demonstrated the most favorable binding affinities. Molecular dynamics simulations revealed stable protein–ligand complexes, with RMSD values ranging from 2.0 to 3.5 Å. RMSF analysis indicated stable key binding residues (Gln298, Gln299, Asn304, Gly400, Trp428, and Asn427), except for Trp404, which showed higher fluctuation in the lupeol complex. Rg and SASA values remained relatively constant, indicating compact and stable complexes. MM-PBSA analysis confirmed that stigmasterol exhibited the most favorable binding free energy, closely comparable to cytochalasin B. These findings suggest that stigmasterol and lupeol from Limonia acidissima are promising GLUT4 inhibitors, with stigmasterol demonstrating the most stable interaction and favorable binding profile. This study highlights the potential of kawista-derived metabolites as lead compounds for further development of GLUT4-targeted anticancer agents.
The Impact of Generative Artificial Intelligence (GenAI) on the Quality and Ease of Teaching Material Preparation in Higher Education: Pengaruh Generative Artificial Intelligence (GenAI) terhadap Kualitas dan Kemudahan Penyusunan Materi Pembelajaran di Perguruan Tinggi Puspani, Nissa Syifa; Suyono, Annisa Maharani; Endiyansyah, Oktavian
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.v10i1.28531

Abstract

This study is motivated by the challenges faced by lecturers in Indonesian higher education institutions in developing high-quality teaching materials due to time constraints, limited resources, and the burden of the tri dharma duties. On the other hand, the Generative Artificial Intelligence (GenAI) offers a solution to enhance content efficiency and relevance through its key characteristics of relevance, content accuracy, and reference accuracy. Therefore, this research aims to evaluate the impact of GenAI usage on the quality and ease of preparing teaching materials in higher education settings. The study employs a quantitative approach using composite-based Structural Equation Modeling (C-SEM), based on data collected through surveys from lecturers at universities in Indonesia who have utilized GenAI in the teaching material design process. The analysis reveals that the main characteristics of GenAI, such as relevance, content accuracy, and reference accuracy, significantly contribute to improving lecturers' effectiveness and efficiency in designing teaching materials. The tested structural model demonstrates a significant positive influence of GenAI usage on the quality of teaching materials and the ease of their preparation, with large effect sizes. These findings underscore the importance of developing GenAI applications focused on enhancing content quality and relevance to support adaptive and innovative learning processes in higher education.   ABSTRAK  (Bahasa Indonesia) Penelitian ini dilatarbelakangi oleh tantangan dosen perguruan tinggi di Indonesia dalam menyusun materi pembelajaran berkualitas akibat keterbatasan waktu, sumber daya, dan beban tugas tridarma. Disisi lain, generative Artificial Intelligence (GenAI) dapat menjadi solusi untuk meningkatkan efisiensi dan relevansi konten melalui karakteristik relevansi, akurasi konten, serta akurasi referensi. Untuk itu, penelitian ini bertujuan mengevaluasi pengaruh penggunaan  GenAI terhadap kualitas dan kemudahan penyusunan materi pembelajaran di lingkungan pendidikan tinggi. Penelitian ini menggunakan pendekatan kuantitatif dengan metode composite-based Structural Equation Modeling (C-SEM), berdasarkan data yang dikumpulkan melalui survei terhadap dosen dari universitas di Indonesia yang telah memanfaatkan GenAI dalam proses perancangan materi ajar. Analisis menunjukkan bahwa karakteristik utama GenAI, seperti relevansi, akurasi konten, dan akurasi referensi, memberikan kontribusi signifikan dalam meningkatkan efektivitas dan efisiensi dosen dalam proses perancangan materi ajar. Model struktural yang diuji memperlihatkan pengaruh positif yang signifikan dari penggunaan GenAI terhadap kualitas materi pembelajaran dan kemudahan penyusunannya dengan ukuran efek yang besar. Hasil ini menegaskan pentingnya pengembangan aplikasi GenAI yang fokus pada peningkatan kualitas dan relevansi konten untuk mendukung proses pembelajaran yang adaptif dan inovatif di perguruan tinggi.
Fabrication and Characterization of Injectable Hydrogel Based on Carboxymethylcellulose-Hyaluronic with Variation Hydroxyapatite as a Candidate Regenerative Medicine for Osteoporosis: Fabrikasi dan Karakterisasi Hidrogel Injeksi Berbahan Dasar Carboxymethylcellulose-Asam Hialuronat dengan Variasi Hidroksiapatit Sebagai Kandidat Regenerative Medicine Untuk Osteoporosis Nurpriyanto, Bagus Satria; Wijaya, Rheynaldi; Mulyana, Wimar Ardhi; Maharani, Salwa Tegar Cahaya; Paramadini, Adanti Wido
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.v10i1.28564

Abstract

Osteoporosis is a disease can make bones brittle and weak by reducing bone mass and altering bone's microarchitecture. Osteoporosis increases every year, and it is predicted that in 2050, osteoporosis will cause an increase in bone fractures in men by 310% and in women by 240%. Existing treatments for osteoporosis, such as bisphosphonate therapy and tissue transplantation, have several limitations. Hydrogel is a new solution to overcome osteoporosis. In this research, hydrogels are fabricated using three combinations of materials: carboxymethylcellulose (CMC), hyaluronic acid, and hydroxyapatite. In this study, hydrogels were fabricated using a blending method combining CMC, hyaluronic acid, and hydroxyapatite in four formulations: 1:1:0, 1:1:1, 1:1:2, and 1:1:3. The study will identify the optimal hydrogel formulation as a candidate for regenerative medicine in osteoporosis. The XRD results show hydroxyapatite is successfully incorporated into the hydrogels. The fluid affinity test results show that the fabricated hydrogels include 3E, 2E, and 1E. Based on viscosity tests, all fabricated hydrogels fulfill the viscosity requirements for injectable hydrogels, with viscosities ranging from 5 to 200,000 mPa.s. In the stability test, the hydrogels were stable after the freeze-thaw cycle. All of the hydrogels fabricated have an injectability approach 100%. Afterward, the resuspension test showed no change in pH, and formulation 1:1:1 resuspended the least. The SEM results indicate a pore size of 87.06 ± 41.63 μm, and the morphology shows that hydroxyapatite successfully fills the pores. Based on the test results, the 1:1:1 formulation is a strong candidate for regenerative medicine applications in osteoporosis   ABSTRAK (Bahasa Indonesia) Osteoporosis adalah kondisi penyakit yang dapat membuat tulang rapuh dan lemah disertai dengan berkurangnya massa tulang serta perubahan mikroarsitektur tulang. Osteoporosis ini meningkat setiap tahunnya dan diprediksi dapat meningkatkan terjadinya patah tulang pada tahun 2050 sebesar 310% pada pria dan 240% pada wanita. Solusi yang ada untuk osteoporosis saat ini berupa terapi bifosfonat dan transplantasi jaringan yang masih memiliki keterbatasan. Hidrogel merupakan solusi terbarukan untuk menangani osteoporosis. Pada penelitian ini hidrogel difabrikasi dengan menggunakan metode pencampuran yang mengombinasikan CMC, asam hialuronat, dan hidroksiapatit sebanyak empat variasi formulasi, yaitu 1:1:0, 1:1:1, 1:1:2, dan 1:1:3. Penelitian ini  akan menemukan formulasi hidrogel yang optimal sebagai kandidat regenerative medicine osteoporosis. Hasil XRD menunjukkan hidroksiapatit berhasil terinkorporasi dalam hidrogel. Hasil uji fluid affinity menunjukkan bahwa hidrogel memiliki tipe yang berbeda-beda. Hasil pengujian viscosity menunjukkan seluruh sampel memenuhi viskositas hidrogel yang dapat diinjeksi yaitu 5 sampai 200.000 mPa.s. Uji stability menunjukkan semua sampel bersifat stabil. Seluruh hidrogel yang difabrikasi memiliki tingkat injectability yang mendekati 100%. Hasil uji percolation menunjukkan formulasi hidrogel 1:1:1 memiliki kemampuan slow release. Kemudian, uji resuspension tidak menunjukkan abnormalitas pH dan hidrogel 1:1:1 memiliki kemampuan pembentukan endapan kembali paling lama. Hasil uji SEM menunjukkan ukuran pori sebesar 87,06 ± 41,63 μm dan morfologi menunjukkan hidroksiapatit telah berhasil mengisi pori matriks. Dari keseluruhan hasil pengujian, formulasi 1:1:1 dapat sebagai kandidat regenerative medicine untuk osteoporosis.
GIS-Based Land Suitability for Wetland Rice Field to Support Regional Food Security in Proposed New Autonomous Region of Purwokerto, Banyumas : Kesesuaian Lahan Padi Sawah berbasis Sistem Informasi Geografis sebagai Dasar Ketahanan Pangan Wilayah di Calon DOB Purwokerto, Kabupaten Banyumas Rizqi, Bayu; Wibowo, Adi
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.v10i1.28607

Abstract

Rapid urbanization and the planned establishment of the Proposed New Autonomous Region (PNAR) of Purwokerto have intensified pressure on rice-field conversion, threatening the sustainability of regional rice supply. This study offers a GIS-based approach to assess the biophysical suitability of paddy fields and determine LP2B protection priorities. The objective is to identify paddy-field zones that should be preserved to maintain long-term food security. The Spatial Multi-Criteria Evaluation (SMCE) method was used to integrate seven biophysical parameters, producing a suitability map dominated by S2 class (19,096.56 ha). An overlay with existing rice fields shows that all 7,040.78 ha fall within the S2 class. The LP2B prioritization analysis reveals the need to retain at least 6,642.18 ha of rice fields to maintain the 2029 rice surplus, with five peri-urban subdistricts required to protect more than 90% of their existing fields. These findings underscore the urgency of land-suitability-based paddy-field protection to balance PNAR development with regional food security.   ABSTRAK (Bahasa Indonesia) Urbanisasi pesat dan rencana pembentukan Calon DOB Purwokerto meningkatkan tekanan konversi sawah, mengancam keberlanjutan pasokan beras wilayah. Penelitian ini menawarkan solusi berbasis SIG untuk memetakan kesesuaian biofisik lahan padi sawah serta menilai prioritas perlindungan LP2B. Tujuannya adalah mengidentifikasi zona sawah yang layak dipertahankan guna menjaga ketahanan pangan jangka panjang. Metode Spatial Multi Criteria Evaluation (SMCE) digunakan untuk mengintegrasikan tujuh parameter biofisik, menghasilkan peta kesesuaian yang menunjukkan dominasi kelas S2 (19.096,56 ha). Overlay dengan sawah eksisting menunjukkan bahwa seluruh 7.040,78 ha sawah berada pada kelas S2. Analisis prioritas LP2B mengungkap kebutuhan mempertahankan minimal 6.642,18 ha sawah untuk menjaga surplus beras 2029, dengan lima kecamatan penyangga harus melindungi lebih dari 94% sawah eksistingnya. Temuan ini menegaskan urgensi perlindungan sawah berbasis kesesuaian lahan untuk menyeimbangkan pembangunan DOB dengan ketahanan pangan wilayah.
Analysis and Optimization of LoRa SX1278 Ra-02 Transmission Performance for an Internet of Things-Based Water Quality Monitoring System: Analisis dan Optimasi Kinerja Transmisi LoRa SX1278 Ra-02 untuk Sistem Monitoring Kualitas Air Berbasis Internet of Things Mahfudi, Isa; Soelistianto, Farida Arinie; Aditya, Adinda; Meylinda, Yossy Dwi
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.v10i1.28610

Abstract

Water quality is a critical indicator of environmental health, yet conventional monitoring methods remain limited in coverage and efficiency. To address these limitations, this study proposes an Internet of Things (IoT)-based water quality monitoring system employing long-range communication using the LoRa SX1278 module, with the objective of analyzing the influence of LoRa physical parameters and determining the most optimal transmission configuration for field monitoring applications. The experimental method involved varying the Spreading Factor, Bandwidth, Coding Rate, and Transmit Power, while transmission performance was evaluated based on RSSI, SNR, Packet Delivery Ratio (PDR), and delay, with sensor data transmitted in real time to the ThingSpeak platform for visualization and validation. The results indicate that the configuration SF9–BW125 kHz–CR4/7–TxPower +14 dBm provides the best overall performance, achieving a PDR of 96–98%, a delay of 380–410 ms, and a power consumption of 82 mA; moreover, field testing demonstrated stable system operation up to 300 meters under Line-of-Sight (LOS) conditions and up to 200 meters under Non-Line-of-Sight (NLOS) conditions. These findings highlight that appropriate LoRa parameter tuning significantly enhances range, reliability, and energy efficiency, making the proposed configuration the optimal choice for IoT-based water quality monitoring systems requiring long-range, reliable, and low-power communication.   ABSTRAK (Bahasa Indonesia) Kualitas air merupakan indikator penting bagi kesehatan lingkungan, namun pemantauan secara konvensional masih terbatas dalam jangkauan dan efisiensi. Untuk mengatasi kendala tersebut, penelitian ini mengusulkan sistem monitoring kualitas air berbasis Internet of Things (IoT) dengan komunikasi jarak jauh menggunakan LoRa SX1278, dengan tujuan menganalisis pengaruh parameter fisik LoRa serta menentukan konfigurasi transmisi yang paling optimal untuk pemantauan kualitas air di lapangan. Metode yang digunakan adalah eksperimen dengan memvariasikan Spreading Factor, Bandwidth, Coding Rate, dan Transmit Power, sedangkan kinerja transmisi dievaluasi berdasarkan RSSI, SNR, Packet Delivery Ratio (PDR), dan delay, dengan data sensor dikirim secara real-time ke platform ThingSpeak untuk visualisasi dan validasi. Hasil penelitian menunjukkan bahwa konfigurasi SF9–BW125 kHz–CR4/7–TxPower +14 dBm memberikan performa terbaik dengan PDR 96–98%, delay 380–410 ms, dan konsumsi daya 82 mA; sementara pengujian lapangan menunjukkan sistem mampu beroperasi stabil hingga 300 meter pada kondisi LOS dan hingga 200 meter pada kondisi NLOS. Hasil ini menegaskan bahwa pengaturan parameter LoRa yang tepat mampu meningkatkan jangkauan, reliabilitas, dan efisiensi energi, sehingga konfigurasi tersebut direkomendasikan sebagai pengaturan optimal untuk sistem monitoring kualitas air berbasis IoT yang membutuhkan komunikasi jarak jauh yang andal dan hemat daya.
Kinetic of Paper Waste Fed Batch Hydrolysis using Sulfuric Acid Catalyst : Kinetika Hidrolisis Limbah Kertas Secara Fed Batch Menggunakan Katalis Asam Sulfat Panjaitan, Jabosar Ronggur Hamonangan; Sinurat, Daniel Tumpal; Sihombing, Mai Melsi; Sanjaya, Andri; Sufra, Rifqi
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.v10i1.28652

Abstract

Paper waste is a potential solid waste. Cellulose, which is the largest component of paper waste, consists of glucose monomers that can be obtained through the hydrolysis process. In this study, hydrolysis process and kinetic evaluation of paper waste in a fed batch method using sulfuric acid catalyst was investigated. The results showed that the highest conversion of paper waste hydrolysis was obtained when feeding the paper waste reactant in a fed batch of 2 grams with 90 minutes reaction time. Higher hydrolysis temperature and time produced higher conversion which the highest conversion was 19.083% at 90oC reaction temperature and 90 minutes of reaction. The activation energy produced in the fed batch hydrolysis process of paper waste using sulfuric acid was 422.526 kJ/mol. The application of fed batch hydrolysis method in this study affects the conversion and kinetics value of paper waste acid hydrolysis using sulfuric acid catalyst. The addition of reactants in a fed batch can increase the number of reactant particles and the potential for effective collisions, resulting in faster reaction rate.   ABSTRAK (Bahasa Indonesia) Limbah kertas merupakan limbah padat potensial yang cukup banyak mencemari lingkungan. Selulosa yang merupakan komponen terbesar limbah kertas terdiri dari monomer glukosa yang dapat diperoleh melalui proses hidrolisis. Pada penelitian ini akan diteliti proses hidrolisis dan evaluasi kinetika limbah kertas secara fed batch menggunakan katalis asam sulfat. Tahapan penelitian ini terdiri dari preparasi bahan baku, proses hidrolisis dan pengolahan data kinetika. Proses hidrolisis dilakukan secara fed batch pada berbagai variasi suhu (70, 80 dan 90 oC) dan variasi waktu reaksi (30, 60 dan 90 menit). Hasil penelitian menunjukkan bahwa konversi tertinggi hidrolisis limbah kertas diperoleh pada pengumpanan reaktan limbah kertas secara fed batch sebesar 2 gram dengan total waktu reaksi 90 menit. Semakin tinggi suhu dan waktu hidrolisis akan menghasilkan konversi yang semakin tinggi dimana konversi tertinggi diperoleh sebesar 19,083% pada suhu reaksi 90oC dan 90 menit reaksi. Energi aktivasi yang dihasilkan pada proses hidrolisis fed batch limbah kertas menggunakan asam sulfat yaitu 422.526 kJ/mol. Aplikasi metode fed batch hidrolisis pada penelitian ini mempengaruhi nilai konversi dan kinetika reaksi hidrolisis limbah kertas menggunakan katalis asam sulfat. Penambahan reaktan secara fed batch meningkatkan jumlah partikel reaktan dan potensi terjadinya tumbukan efektif sehingga mengakibatkan laju reaksi semakin meningkat

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