cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
Jl. KH. Ahmad Dahlan, PO BOX 202 Purwokerto 53182 Kembaran, Banyumas, Jawa Tengah
Location
Kab. banyumas,
Jawa tengah
INDONESIA
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 23 Documents
 1   2   3 
Search results for , issue "volume 10 no. 2, september 2026 :jrst" : 23 Documents clear
Identification of Potential Compounds of Green Tea (Camellia sinensis) in Inhibiting SARS-CoV-2: a Multi-Target Approach Based on Molecular Docking Farhan Fauzan; Meilisa Dwi Puteri; Tria Putriani; Yudhistia Putri Alwahida; Siti Nurhaliza Hasibuan; Naura Nurnahari; Winni Nur Auli
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 2, September 2026 :JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i2.27965

Abstract

SARS-CoV-2 is a new betacoronavirus that has a complex replication pathway through the Mpro, TMPRSS2, and RdRp proteins. This study aims to analyze the potential and molecular mechanisms of catechin-derived compounds from green tea (Camellia sinensis), using a multi-target approach based on molecular docking. Predictions of physicochemical properties and toxicity were analyzed using SwissADME, pkCSM, and Toxtree v3.1.0.1851. Protein and ligand structure preparation used PDB, MolView, and Avogadro. Then, molecular docking was analyzed using AutoDock4 1.5.6 and BIOVIA Discovery Studio. The analysis results showed that the EGCG compound had the best affinity with Mpro (-7.6 kcal/mol) at the cyad catalytic site (His 41 and Cys 145), the CG compound with TMPRSS2 (-7.95 kcal/mol) at the triad catalytic site (His 26 and Ser 441), and the ECG compound with RdRp (-7.51 kcal/mol) at the replication catalytic site (Lys 73 and Phe 219). These results indicate that the catechin compound from green tea has the potential to inhibit SARS-CoV-2 replication in a multi-target manner through the mechanism of inhibition of the catalytic and replication sites, thereby overcoming the complexity of virus replication and avoiding resistance
Modeling and Simulation of D18:L8-BO Organic Solar Cells for Enhanced Efficiency and Stability: Pemodelan dan Simulasi Sel Surya Organik D18:L8-BO untuk Peningkatan Efisiensi dan Stabilitas Soni Prayogi
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 2, September 2026 :JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i2.28613

Abstract

Organic solar cells (OSCs) are one of the third-generation photovoltaic technologies that offer advantages in the form of mechanical flexibility, light weight, and potential low production costs. However, power conversion efficiency and operational stability of the device are still the main challenges that limit its commercial application. This study aims to analyze the effect of variations in the thickness of the active layer, energy bandgap, and the addition of a buffer layer on increasing the efficiency and stability of organic solar cells based on the donor-acceptor pair D18:L8-BO. ​​The research method uses a modeling approach and numerical simulation with OghmaNano software based on the drift-diffusion model. Variations in the thickness of the active layer are simulated in the range of 120–170 nm and the energy bandgap in the range of 1.3–1.8 eV under standard AM 1.5G illumination (1000 W/m²). The performance parameters analyzed include open circuit voltage (Voc), short circuit current (Isc), Fill Factor (FF), and Power Conversion Efficiency (PCE). The simulation results show that the optimum active layer thickness is in the range of 130–140 nm, with a maximum PCE value of 18.33%, Voc of 1.21 V, Isc of 10.12 mA/cm², and FF of 0.67 at a bandgap of 1.8 eV. In addition, the addition of the TPBi buffer layer can improve the thermal stability of the device by maintaining more than 95% of the initial efficiency after simulated operation for up to 2000 hours. These findings indicate that optimization of structural parameters through a numerical simulation approach can improve the efficiency and stability of D18:L8-BO-based OSC devices. This research provides an important contribution in the design of high-performance organic solar cells and has the potential to support the development of more efficient and sustainable renewable energy technologies. ABSTRAK (Bahasa Indonesia) Sel surya organik (Organic Solar Cell/OSC) merupakan salah satu teknologi fotovoltaik generasi ketiga yang menawarkan keunggulan berupa fleksibilitas mekanik, bobot ringan, dan potensi biaya produksi rendah. Namun demikian, efisiensi konversi daya dan stabilitas operasional perangkat masih menjadi tantangan utama yang membatasi penerapan komersialnya. Penelitian ini bertujuan untuk menganalisis pengaruh variasi ketebalan lapisan aktif, bandgap energi, serta penambahan lapisan buffer terhadap peningkatan efisiensi dan stabilitas sel surya organik berbasis pasangan donor–akseptor D18:L8-BO. Metode penelitian menggunakan pendekatan pemodelan dan simulasi numerik dengan perangkat lunak OghmaNano berbasis model drift–diffusion. Variasi ketebalan lapisan aktif disimulasikan pada rentang 120–170 nm dan bandgap energi pada rentang 1,3–1,8 eV di bawah iluminasi standar AM 1.5G (1000 W/m²). Parameter kinerja yang dianalisis meliputi tegangan rangkaian terbuka (Voc), arus hubung singkat (Isc), Fill Factor (FF), dan Power Conversion Efficiency (PCE). Hasil simulasi menunjukkan bahwa ketebalan lapisan aktif optimum berada pada kisaran 130–140 nm, dengan nilai PCE maksimum sebesar 18,33%, Voc 1,21 V, Isc 10,12 mA/cm², dan FF 0,67 pada bandgap 1,8 eV. Selain itu, penambahan lapisan buffer TPBi mampu meningkatkan stabilitas termal perangkat dengan mempertahankan lebih dari 95% efisiensi awal setelah simulasi operasi hingga 2000 jam. Temuan ini menunjukkan bahwa optimasi parameter struktural melalui pendekatan simulasi numerik dapat meningkatkan efisiensi sekaligus stabilitas perangkat OSC berbasis D18:L8-BO. Penelitian ini memberikan kontribusi penting dalam perancangan sel surya organik berperforma tinggi dan berpotensi mendukung pengembangan teknologi energi terbarukan yang lebih efisien dan berkelanjutan.
Evaluation of the Effectiveness of the HIRADC Method in Reducing Occupational Safety Risks in Concrete Work for WWTP Basin Construction : Evaluasi Efektivitas Metode HIRADC Terhadap Penurunan Risiko Keselamatan Kerja Pada Pekerjaan Beton Kolam IPAL Ari Setia Maulana; Muhammad Alvan Rizki
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 2, September 2026 :JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i2.28842

Abstract

Construction work, particularly concrete casting activities in confined areas, has a high risk of occupational accidents and therefore requires systematic safety management. This study aims to evaluate the effectiveness of the Hazard Identification, Risk Assessment, and Determining Control (HIRADC) method in reducing occupational safety risks in concrete work for wastewater treatment plant (WWTP) tanks. The research employed a quantitative descriptive approach, with data collected through field observations and questionnaires distributed to 40 respondents directly involved in the work. Data analysis was conducted using IBM SPSS Statistics 27 through validity and reliability tests, descriptive analysis, and paired sample t-test. The results identified 20 potential hazards, with risk levels predominantly classified as high to very high before the implementation of control measures. After applying technical, administrative, and personal protective equipment controls, the risk levels decreased to moderate and low categories. Statistical testing showed a significance value (Sig. 2-tailed) of less than 0.05, indicating a significant difference between conditions before and after the implementation of the HIRADC method. It can be concluded that the HIRADC method is effective in reducing occupational safety risks in high-risk concrete work, particularly in confined excavation areas. ABSTRAK (Bahasa Indonesia) Pekerjaan konstruksi, khususnya pada kegiatan pengecoran beton di area terbatas, memiliki tingkat risiko kecelakaan kerja yang tinggi sehingga memerlukan pengelolaan keselamatan yang sistematis. Penelitian ini bertujuan untuk mengevaluasi efektivitas metode Hazard Identification, Risk Assessment, and Determining Control (HIRADC) dalam menurunkan risiko keselamatan kerja pada pekerjaan beton kolam Instalasi Pengolahan Air Limbah (IPAL). Metode yang digunakan adalah pendekatan deskriptif kuantitatif dengan pengumpulan data melalui observasi lapangan dan penyebaran kuesioner kepada 40 responden yang terlibat langsung dalam pekerjaan. Analisis data dilakukan menggunakan perangkat lunak IBM SPSS Statistics 27 melalui uji validitas, reliabilitas, analisis deskriptif, serta uji paired sample t-test. Hasil penelitian menunjukkan bahwa terdapat 20 potensi bahaya yang teridentifikasi, dengan dominasi tingkat risiko pada kategori tinggi hingga sangat tinggi sebelum pengendalian diterapkan. Setelah dilakukan pengendalian berupa tindakan teknis, administratif, dan penggunaan alat pelindung diri, tingkat risiko menurun menjadi kategori sedang hingga rendah. Hasil uji statistik menunjukkan nilai signifikansi (Sig. 2-tailed) < 0,05, yang mengindikasikan adanya perbedaan signifikan antara kondisi sebelum dan sesudah penerapan metode HIRADC. Berdasarkan hasil tersebut, dapat disimpulkan bahwa metode HIRADC efektif dalam menurunkan tingkat risiko keselamatan kerja pada pekerjaan beton berisiko tinggi, khususnya pada area galian terbatas.
Valorization of Agricultural Waste: A Study on Antimicrobial Edible Films from Avocado Seed Starch and Dragon Fruit Peel Zuqni Meldha; Iffany Adinda Chayyira; Muhammad Faiza Abrar; Muhammad Iwan Fermi; Idral Amri; chairul; Lisa Legawati; Yogi Yolanda; Yola Bertilsya Hendri; Salma liska
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 2, September 2026 :JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i2.28867

Abstract

The growing accumulation of plastic packaging waste and the underutilization of agricultural residues have encouraged the development of biopolymer-based edible films. This study aimed to produce an edible film from avocado seed starch and dragon fruit peel pectin with the addition of red ginger essential oil as a potential antimicrobial agent and to evaluate its physical, mechanical, and organoleptic properties. The films were prepared using the solvent-casting method with starch-to-pectin ratios of 4:1 and 1:4, with or without the addition of 1 mL of red ginger essential oil. The films were characterized using FTIR and evaluated for thickness, tensile strength, elongation, and Young’s modulus. Their application to chicken meat was organoleptically assessed by 10 panelists based on color and aroma during refrigerated storage. FTIR analysis confirmed the presence of characteristic functional groups in the film components, particularly hydroxyl groups, indicating interactions among the constituents. Film thickness ranged from 0.110 to 0.170 mm and complied with the maximum Japanese Industrial Standard limit of 0.25 mm. The film with a starch-to-pectin ratio of 1:4 and red ginger essential oil exhibited the highest tensile strength of 21.53 MPa. However, elongation values of 0.000107–0.000385% indicated that the films were highly brittle and prone to cracking during peeling, wrapping, and storage. The addition of red ginger essential oil produced a stronger aroma, thereby reducing panelist acceptance. The films showed acceptable thickness and good tensile strength, but their flexibility requires further improvement. Antimicrobial effectiveness could not be confirmed because no direct microbiological testing was conducted.
Predicting Tropical Carbon Stock using Multi-Layer Perceptron: A Multi-Sensor Fusion Approach Vladimirrahman Salsabil Abdullah; Arrie Kurniawardhani
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 2, September 2026 :JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i2.28903

Abstract

Accurately mapping Aboveground Biomass (AGB) in tropical regions remains a significant challenge due to the saturation of common remote-sensing sources, such as Sentinel-2 optical imagery and Sentinel-1 C-band radar, in high-biomass forests. This study aims to address these limitations by proposing a data-fusion approach that incorporates L-band radar from ALOS PALSAR to predict carbon stock across the complex landscape of Yogyakarta, Indonesia.We combined GEDI L4A AGBD "ground-truth" data (2020) with features extracted from Sentinel-2, Sentinel-1 texture, ALOS PALSAR L-band backscatter, and SRTM topography. Four machine learning models—Multiple Linear Regression (MLR), Random Forest (RF), Support Vector Regression (SVR), and Multi-Layer Perceptron (MLP)—were trained and evaluated. The results demonstrate that models relying solely on conventional sensors (Sentinel-1 and Sentinel-2) performed poorly, explaining only ~18% of the AGBD variation. Integrating L-band and topographic variables more than doubled model performance. The MLP model achieved the highest accuracy, yielding an R² of 0.3389 and an RMSE of 74.26 t/ha.Although the accuracy is moderate, it realistically reflects the inherent noise in GEDI L4A estimates and the region’s highly fragmented forest structure. Ultimately, this research confirms that fusing L-band radar is essential for improving tropical AGB mapping.
Performance Evaluation of a Solar-Powered Water Pumping System (PV–Battery) in Negeri Sila, Nusalaut District, Central Maluku: A Hydro-Energetic Approach : Evaluasi Kinerja Sistem Pompa Air Tenaga Surya (PV-Baterai) Di Negeri Sila Kecamatan Nusalaut Maluku Tengah: Pendekatan Energi Hidraulik Luwis H. Laisina; Arnold J. Kastanja; Abraham Latumahina; Azmain Noor Hatuwe; Nikodemus Lewier
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 2, September 2026 :JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i2.29028

Abstract

This study aims to evaluate the performance of a PV–battery-based solar water pumping system as a solution for clean water supply in island regions with limited electricity infrastructure and high dependence on fossil fuels. The method applied is a hydro-energetic approach to analyze the relationship between electrical energy produced by the system and the volume of water pumped, based on field measurements with a 10-minute resolution conducted from October 16 to December 3, 2025. The system consists of 2.76 kWp PV modules, a 24V 100Ah battery, and a 2.2 kW submersible pump. The results show that the system operates stably with an average runtime of 4.9 hours/day, water production of 58.3 m³/day, and availability of 94%. The hydro-energetic efficiency reaches 10.6%, with a strong linear relationship between electrical energy and water volume (R² = 0.94), indicating consistent system performance. Under low Peak Sun Hour (PSH) conditions, system performance decreases by 25–30%; however, the system continues to operate without significant interruption due to battery support as an energy buffer. These findings demonstrate that the hydro-energetic approach is an effective and simple method for evaluating and monitoring PV-based water pumping systems in remote areas. ABSTRAK (Bahasa Indonesia) Penelitian ini bertujuan mengevaluasi kinerja sistem pompa air tenaga surya berbasis PV–baterai sebagai solusi penyediaan air bersih di wilayah kepulauan dengan keterbatasan infrastruktur listrik dan ketergantungan pada energi fosil. Metode yang digunakan adalah pendekatan energi–hidraulik untuk menganalisis hubungan antara energi listrik yang dihasilkan sistem dan volume air yang dipompa, berdasarkan data pengukuran lapangan dengan resolusi 10 menit selama periode 16 Oktober hingga 3 Desember 2025. Sistem yang diuji terdiri dari modul PV berkapasitas 2,76 kWp, baterai 24V 100Ah, dan pompa submersible 2,2 kW. Hasil penelitian menunjukkan bahwa sistem mampu beroperasi secara stabil dengan durasi rata-rata 4,9 jam/hari, produksi air sebesar 58,3 m³/hari, dan tingkat availability mencapai 94%. Efisiensi energi–hidraulik tercatat sebesar 10,6% dengan hubungan linear yang kuat antara energi listrik dan volume air (R² = 0,94), yang menunjukkan konsistensi performa sistem. Pada kondisi Peak Sun Hour (PSH) rendah, terjadi penurunan kinerja sebesar 25–30%, namun sistem tetap beroperasi tanpa gangguan signifikan berkat dukungan baterai sebagai penyimpan energi. Hasil ini menunjukkan bahwa pendekatan energi–hidraulik efektif digunakan sebagai metode sederhana untuk evaluasi dan pemantauan kinerja sistem PV–pompa air di daerah terpencil.  
Implementation of Smart Detection in Risk Monitoring and Flood Mitigation in Bengkayang Regency Candra Gudiato; Santi Thomas; Rossi Gawida; Janice Thea Sumar
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 2, September 2026 :JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i2.29050

Abstract

Bengkayang Regency is one of the areas prone to flooding due to extreme rainfall, poor drainage systems, and low vegetation. This research aims to develop an Internet of Things (IoT)-based Smart Detection system for real-time flood risk monitoring and mitigation. The scientific contribution of this study lies in the integration of three main parameters—water level, rainfall, and Normalized Difference Vegetation Index (NDVI)—which are processed using the Simple Additive Weighting (SAW) method to determine flood vulnerability levels. Test results at four research locations show that Teriak District (Vi = 0.964) and Lumar District (Vi = 0.939) are identified as "safe" areas, while Seluas District (Vi = 0.489) and Ledo District (Vi = 0.640) have "alert" status that requires special attention from the local government. The Smart Detection system is capable of providing early warnings for incoming floods and is expected to contribute to the local government's more holistic mitigation decision-making and enhance community preparedness for potential disasters. ABSTRAK (Bahasa Indonesia) Kabupaten Bengkayang merupakan salah satu wilayah yang rawan banjir, akibat curah hujan ekstrem, buruknya sistem drainase, dan rendahnya vegetasi. Penelitian ini bertujuan untuk mengembangkan sistem Smart Detection berbasis Internet of Things (IoT) untuk pemantauan risiko dan mitigasi banjir secara real-time. Kontribusi ilmiah penelitian ini terletak pada integrasi tiga parameter utama, yaitu ketinggian air, curah hujan, dan tingkat kehijauan lahan (NDVI), yang diolah menggunakan metode Simple Additive Weighting (SAW) untuk menghasilkan keputusan tingkat kerawanan banjir. Hasil pengujian pada empat lokasi penelitian menunjukkan bahwa Kecamatan Teriak (Vi= 0,964) dan Kecamatan Lumar (Vi=0,939) teridentifikasi sebagai wilayah “aman” dari banjir, sedangkan Kecamatan Seluas (Vi= 0,489) dan Kecamatan Ledo (Vi= 0,640) memiliki tingkat kerawanan dengan status “waspada” yang memerlukan perhatian khusus dari pemerintah daerah setempat.  Sistem Smart Detection mampu memberikan peringatan dini akan datangnya banjir dan diharapkan dapat berkontribusi bagi pemerintah daerah setempat dalam pengambilan keputusan mitigasi yang lebih holistik serta meningkatkan kesiapsiagaan masyarakat terhadap potensi bencana banjir.
Innovating Transport Safety Management through Lean Construction in Bridge Infrastructure Projects: Inovasi Manajemen Keselamatan Transportasi Berbasis Lean Construction pada Proyek Infrastruktur Jembatan Citra Pradipta Hudoyo; Muhammad Edwin Rachmanudin; Diyah Ayu Widayanti
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 2, September 2026 :JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i2.29222

Abstract

Bridge infrastructure projects in Indonesia often face transport safety challenges due to overlapping construction areas with active traffic lanes. This study aims to identify waste categories in bridge projects and analyze their implications for transport safety. A mixed-methods approach was employed, combining literature review, questionnaire surveys of 197 respondents (contractors, consultants, and field workers), expert interviews, and field observations. The research instrument was tested for validity (r > 0.3) and reliability (Cronbach's Alpha = 0.872), while risk analysis was conducted using Failure Mode and Effects Analysis (FMEA) with parameters of Severity, Occurrence, and Detection. The findings indicate that all eight Lean Construction waste categories were identified. Defects/Rework had the highest perceived risk for workers (mean = 4.1), while Transportation ranked highest for the public (mean = 4.2). FMEA analysis confirmed the highest RPN values for Defects/Rework (381), Transportation (364), and Inventory (333) all classified as high risk. Mitigation strategies focused on quality improvement, logistics optimization (including Just-in-Time), and managerial reinforcement through daily huddles and visual management. This study concludes that Lean Construction is not only effective in reducing waste but also serves as a strategic approach to enhancing transport safety in bridge projects. ABSTRAK (Bahasa Indonesia) Proyek infrastruktur jembatan di Indonesia sering menghadapi tantangan keselamatan transportasi karena tumpang tindih area konstruksi dengan jalur lalu lintas aktif. Penelitian ini bertujuan mengidentifikasi kategori waste pada proyek jembatan serta menganalisis implikasinya terhadap keselamatan transportasi. Pendekatan mixed methods digunakan, menggabungkan studi literatur, kuesioner terhadap 197 responden (kontraktor, konsultan, dan pekerja lapangan), wawancara pakar, serta observasi lapangan. Instrumen penelitian diuji validitas (r > 0,3) dan reliabilitas (Cronbach's Alpha = 0,872), sedangkan analisis risiko dilakukan dengan Failure Mode and Effects Analysis (FMEA) menggunakan parameter Severity, Occurrence, dan Detection. Hasil penelitian menunjukkan bahwa delapan kategori waste Lean Construction teridentifikasi. Defects/Rework memiliki persepsi risiko tertinggi bagi pekerja (mean = 4,1), sementara Transportation tertinggi bagi publik (mean = 4,2). Analisis FMEA mengonfirmasi nilai RPN tertinggi pada Defects/Rework (381), Transportation (364), dan Inventory (333) semua tergolong risiko tinggi. Strategi mitigasi difokuskan pada peningkatan mutu pekerjaan, optimalisasi logistik (termasuk Just in Time), serta penguatan manajemen melalui daily huddle dan visual management. Penelitian ini menyimpulkan bahwa Lean Construction tidak hanya efektif mengurangi pemborosan, tetapi juga menjadi pendekatan strategis untuk meningkatkan keselamatan transportasi pada proyek jembatan
Selected Pharmacognostic Characters of Vasconcellea pubescens Leaf Crude Drugs Artha Sudibyo; Dilla Maulida; Elza Sundhani; Alwani Hamad; Dwi Hartanti
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 2, September 2026 :JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i2.29232

Abstract

Mountain papaya (Vasconcellea pubescens A.DC.) is a highland species introduced to the Dieng Plateau in Central Java. It has strong cultural significance but limited scientific documentation on its medicinal use. No crude drugs from these plants have been included in the Indonesian Herbal Pharmacopeia. This study aimed to establish baseline pharmacognostic specifications for mountain papaya leaf crude drugs collected from three areas of the Dieng Plateau. The plant materials were collected from three locations in Dieng, and their identities were authenticated accordingly. The microscopical morphology, thin-layer chromatography (TLC) profile, ash values, water-extractable value, total flavonoid content (TFC), and total phenolic content (TPC) of the crude drugs were analyzed in accordance with the IHP standard methods. Botanical authentication confirmed the samples as Vasconcellea pubescens A.DC. Powder microscopy revealed characteristic fragments, including parenchyma cells, trichomes, mesophyll tissues, calcium oxalate crystals, and spiral vessels. TLC profiling demonstrated a consistent phytochemical fingerprint across samples, with 12 resolved spots, and caffeic acid was tentatively identified as a reference marker (Rf 0.63). Physicochemical evaluation showed high total ash (9.92-10.18%) and acid-insoluble ash (1.76-3.0%) values. Water extractable value (28.95-40.72%) varied across sample collection locations. Quantitative analysis showed a relatively high TPC (5.33±0.09%) compared with TFC (0.38±0.01%). Collectively, these findings provide the first pharmacognostic characteristics for mountain papaya leaf crude drugs from Dieng and offer reference data to support quality control and standardization.
Drug Demand Forecasting Using Holt's Linear Trend and ARIMA Methods (A Case Study of Omeprazole at Primary Clinic UIN Sunan Kalijaga, Indonesia): Peramalan Penggunaan Obat Menggunakan Metode Holt's Linear Trend dan ARIMA (Studi Kasus Obat Omeprazole di Klinik Pratama UIN Sunan Kalijaga, Indonesia) Alfinatul Aisyah; Muhammad Naufal Daffa Satria; Titi Sari
JRST (Jurnal Riset Sains dan Teknologi) Volume 10 No. 2, September 2026 :JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v10i2.29505

Abstract

Drug inventory management in primary healthcare facilities often faces challenges due to unstable demand fluctuations, leading to risks of stockouts or excess stock accumulation. This study aims to analyze the historical usage patterns of omeprazole and compare the accuracy of Holt's Linear Trend and ARIMA methods as a basis for recommending a forecasting system to support drug inventory management at Pri-mary Clinic UIN Sunan Kalijaga. The data used consist of 57 monthly observations from January 2021 to September 2025, partitioned into 80% training data and 20% testing data. Holt's Linear Trend was applied with parameter estimation using SSE minimization through Microsoft Excel Solver, yielding optimal values of α = 0.195919 and β = 1. ARIMA was applied through order identification, parameter estimation, and residual diagnostic stages, producing the best model ARIMA(0,1,1) which satisfied the white noise and residual normality assumptions. Evaluation results indicate that Holt's Linear Trend achieved better accuracy on testing data with an MSE of 17,256.57 and MAPE of 22.75%, compared to ARIMA(0,1,1) with an MSE of 21,325.42 and MAPE of 27.86%. The superiority of Holt's Linear Trend is supported by data characteristics reflecting an increasing trend without a dominant seasonal pattern, along with a β value of 1 that enables the trend component to be updated maximally in response to data dynamics. Based on these findings, Holt's Linear Trend is recommended as a forecasting model to support inventory control efficiency and reduce the risk of drug shortages at Primary Clinic. ABSTRAK (Bahasa Indonesia) Pengelolaan persediaan obat di fasilitas pelayanan kesehatan primer seringkali menghadapi tantangan akibat fluktuasi permintaan yang tidak stabil, sehingga memicu risiko kekosongan atau penumpukan stok. Penelitian ini bertujuan untuk menganalisis pola historis penggunaan obat Omeprazole serta membandingkan akurasi metode Holt’s Linear Trend dan ARIMA sebagai dasar rekomendasi sistem peramalan untuk manajemen persediaan obat di Klinik Pratama UIN Sunan Kalijaga. Data yang digunakan adalah data bulanan periode Januari 2021 hingga September 2025 sebanyak 57 observasi yang dipartisi menjadi 80% data training dan 20% data testing. Metode Holt’s Linear Trend diterapkan dengan estimasi parameter menggunakan minimisasi SSE melalui Solver Microsoft Excel, menghasilkan nilai optimal α = 0,195919 dan β = 1. Metode ARIMA diterapkan melalui tahap identifikasi orde, estimasi parameter, dan diagnostik residual, menghasilkan model terbaik ARIMA(0,1,1) yang memenuhi asumsi white noise dan normalitas residual. Hasil evaluasi menunjukkan bahwa Holt’s Linear Trend memberikan akurasi lebih baik pada data testing dengan MSE 17.256,57 dan MAPE 22,75%, dibandingkan ARIMA(0,1,1) yang menghasilkan MSE 21.325,42 dan MAPE 27,86%. Keunggulan Holt’s Linear Trend didukung oleh karakteristik data yang menunjukkan tren meningkat tanpa pola musiman yang dominan, serta nilai β = 1 yang memungkinkan komponen tren diperbarui secara maksimal mengikuti dinamika data. Berdasarkan temuan ini, Holt’s Linear Trend direkomendasikan sebagai model peramalan untuk mendukung efisiensi pengendalian persediaan dan menekan risiko kekurangan obat di Klinik Pratama.

Page 1 of 3 | Total Record : 23

 1   2   3 

Filter by Year

2026 2026


Reset
Filter By Issues
All Issue Volume 10 No. 2, September 2026 :JRST Volume 10 No. 1, March 2026: JRST Volume 9 No. 2 September 2025: JRST Volume 9 No. 1 Maret 2025: JRST Volume 8 No. 2 September 2024: JRST Volume 8 No. 1 Maret 2024: JRST Volume 7 No. 2 September 2023: JRST Volume 7 No. 1 Maret 2023: JRST Volume 6 No. 2 September 2022: JRST Volume 6 No. 1 Maret 2022: JRST Volume 5 No. 2 September 2021: JRST Volume 5 No. 1 Maret 2021: JRST Volume 4 N0. 2 September 2020: JRST Volume 4 No. 1 Maret 2020: JRST Volume 3 N0. 1 Maret 2019: JRST Volume 3 No. 2 September 2019: JRST Volume 2 No. 2 September 2018: JRST Volume 2 No. 1 Maret 2018: JRST Volume 1 No. 2 September 2017: JRST Volume 1 No. 1 Maret 2017: JRST More Issue