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Aam Gunawan
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AL-ULUM: JURNAL SAINS DAN TEKNOLOGI
Published by Universitas Islam Kalimantan Muhammad Arsyad Al Banjari
ISSN : -     EISSN : 24774731     DOI : 10.31602
Core Subject : Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Energy
Al Ulum: Jurnal Sains dan Teknologi = Al Ulum: Journal of Science and Technology (JST) is an international and open access journal with registered number ISSN 2477-4731 (Online). JST is a peer-reviewed journal published three times a year (April, August and December) by UPT Publication and Journal Management, Islamic University of Kalimantan. JST is intended to be the journal for publishing articles reporting the results of science and technology research. The JST invites manuscripts in the various topics of science and technology include natural sciences, engineering, computer science and technology, health and medical sciences, and agriculture.
Arjuna Subject : Umum - Umum
Articles 277 Documents
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BUSINESS ANALYSIS OF PLANT GROWTH-PROMOTING RHIZOBACTERIA (PGPR) PRODUCTION AT CV. BANUA SEJAHTERA LESTARI IN DANAU KARYA VILLAGE, BARITO KUALA REGENCY Alpiani Alpiani; Ana Zuraida; Fuzi Maulana Ash’ari
AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Vol 11 No 2 (2025)
Publisher : UPT Publication and Journal Management, Islamic University of Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jst.v11i2.19357

Abstract

This study investigates the technical and economic aspects of Plant Growth-Promoting Rhizobacteria (PGPR) production at CV. Banua Sejahtera Lestari in Danau Karya Village. Using a case study approach, the analysis covers production methods, cost structure, profitability, and operational challenges. PGPR production follows strict Standard Operating Procedures (SOP), utilizing laboratory-grade equipment in hygienic conditions under supervision by qualified personnel. Each cycle spans 15 days and is repeated twice monthly, yielding 200 liters per cycle. The production cost per cycle is IDR 2,600,000, while revenue reaches IDR 4,000,000, resulting in a net profit of IDR 1,400,000. The Return Cost Ratio (RCR) of 1.53 indicates economic feasibility and a favorable return on investment. Challenges include maintaining consistent product quality and managing production risks. Overall, PGPR production at CV. Banua Sejahtera Lestari demonstrates strong potential for sustainable agribusiness development in Barito Kuala Regency.
COMPARATIVE INCOME ANALYSIS OF RICE FARMING (Oryza sativa L.) USING CERTIFIED AND NON-CERTIFIED CIHERANG SEED VARIETIES Rudianoor Rudianoor; Ana Zuraida; Inda Ilma Ifada
AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Vol 11 No 2 (2025)
Publisher : UPT Publication and Journal Management, Islamic University of Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jst.v11i2.19903

Abstract

This study evaluates the financial performance of Ciherang rice farming using certified and non-certified seeds in Ulu Benteng, Marabahan Subdistrict. Cultivation follows standard agronomic practices such as seedbed preparation, planting (tegel system), fertilization, and harvesting. Certified seed farming incurs explicit and implicit costs of IDR 4,924,024 and IDR 4,221,471 respectively, yielding revenue of IDR 15,026,477, with income of IDR 10,102,465 and profit of IDR 5,880,976. In contrast, non-certified seed farming incurs slightly lower costs (IDR 4,567,240 and IDR 4,098,846), but generates lower revenue (IDR 12,577,846), income (IDR 7,748,308), and profit (IDR 3,911,760). The profit gap of IDR 1,969,216 confirms that certified seeds deliver better financial outcomes, supporting their use to enhance farm profitability and sustainability.
ANALYSIS OF GENERATION Z CONSUMER PREFERENCES AT COFFEE SHOPS IN BANJARMASIN CITY Yarna Hasiani; Fuzi Maulana Ash'ari; Tota Totor Naibaho
AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Vol 11 No 2 (2025)
Publisher : UPT Publication and Journal Management, Islamic University of Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jst.v11i2.20114

Abstract

Coffee is a widely consumed beverage across all demographic groups, and coffee shops represent a vital downstream component of the agribusiness subsystem, particularly in the marketing of plantation products in ready-to-serve or ready-to-eat formats within the food and beverage industry. This study aims to analyze the selection preferences of Generation Z consumers in choosing coffee shops in the city of Banjarmasin. Utilizing conjoint analysis, the research identifies the relative importance of various attributes influencing consumer decision-making. The most influential factor is Sales Product, with an interest level of 23.003, followed by price (21.839), facilities (20.774), building concept (14.532), trademark (10.389), and location (9.462). These findings suggest that Generation Z places higher value on product offerings and affordability when selecting coffee shops, while branding and location play lesser roles. This information provides strategic insights for coffee shop entrepreneurs targeting this consumer segment in urban Indonesia.
Front Matter Al Ulum: Journal of Science and Technology Vol. 11, No. 2, August 2025 Front Matter
AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Vol 11 No 2 (2025)
Publisher : UPT Publication and Journal Management, Islamic University of Kalimantan

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

Abstract

SYNTHESIS OF SILVER NANOPARTICLES (AGNPS) WITH SOURSOP LEAF EXTRACT (Annona muricata L.) AS A BIOREDUCTANT Risma Indriyani Putri; Nilam Cahya Lestari; Eneng Mahmudah
AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Vol 12 No 2 (2026)
Publisher : UPT Publication and Journal Management, Islamic University of Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jst.v12i2.22619

Abstract

Conventional chemical synthesis of silver nanoparticles (AgNPs) can generate hazardous waste, encouraging the development of greener alternatives such as green synthesis using natural materials. This study analyzes the formation and characteristics of AgNPs from soursop leaf extract (Annona muricata L.) which function as reducing and stabilizing agents. Secondary metabolites in soursop leaves include tannins, flavonoids, saponins, and alkaloids, which contribute to the reduction of silver ions. The research involved ethanol maceration extraction, phytochemical screening, nanoparticles synthesis using an extract to AgNO₃ ratio of 1:20 at 600C for 1–2 hours, and characterization by UV–Vis and FTIR spectroscopy. A color change to dark brown confirmed nanoparticle formation. UV–Vis analysis showed an SPR peak around 390 nm, indicating small and stable particles. The functional groups in the FTIR results indicate involvement in reduction and stabilization. Overall, green synthesis using soursop leaf extract was successful and shows promise for biomedical applications.
ON HILBERT-SCHMIDT OPERATORS BETWEEN NON-SEPARABLE HILBERT SPACES Lucien Tebua Limalo Koto; Nestor Anzola Kibamba; Fidele Balibuno Luganda; Joseph-Desiré Bukweli Kyemba; Alain Musesa Landa
AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Vol 12 No 2 (2026)
Publisher : UPT Publication and Journal Management, Islamic University of Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jst.v12i2.22813

Abstract

We first study Hilbert–Schmidt operators between non-separable Hilbert spaces. We employ concepts such as summable families in normed spaces, the packet summation theorem, and Hilbert bases. We define Hilbert–Schmidt operators and investigate the structure of the Hilbert space (HS(X,Y)), establishing its relationship with the spaces of compact operators (CO(X,Y)), finite-rank operators (F_i(X,Y)), and continuous linear operators (LC(X,Y)). We then consider particular classes of Hilbert–Schmidt operators on the space of almost periodic functions  where. Finally, we establish a spectral representation theorem for compact Hermitian operators on non-separable Hilbert spaces, extending the well-known result for separable Hilbert spaces.
IN SILICO PHARMACOKINETIC AND MOLECULAR DOCKING STUDY OF VOLATILE COMPOUNDS FROM Parachlorella kessleri AUP5 AS POTENTIAL α-AMYLASE INHIBITORS Arif Juliari Kusnanda; Fajri Ikhsan; Dede Rahman Agustian; Syafrizayanti Syafrizayanti; Afrizal Afrizal; Armaini Armaini; Rahmi Sukratilla; Rindi Antika
AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Vol 12 No 2 (2026)
Publisher : UPT Publication and Journal Management, Islamic University of Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jst.v12i2.23138

Abstract

Diabetes mellitus (DM) is a chronic metabolic disorder with a rapidly increasing global prevalence. The purpose of this study was to determine the potential of volatile compounds from microalgae Parachlorella kessleri AUP5 as potential α-amylase inhibitors through in silico approach. Analysis of the similarity of the drug was carried out with the Swiss ADME on the basis of Lipinski rule of five. Molecular screening was performed using Molecular Operating Environment (MOE). The volatile compounds with the highest inhibitor potential toward α-amylase is 9,12-octadecadienoic acid with a docking score of −6.215 kcal/mol. The compound interacted with key amino acid residues such as Ala198, His201, Ile235 and Asp195 at the enzyme binding site. The results indicated that 9,12-octadecadienoic acid from Parachlorella kessleri AUP5 has the greatest potential as a potential α-amylase inhibitors. However, more research is required to validate the results of these computational predictions.
SYNTHESIS AND CHARACTERIZATION OF TERNARY NiO-Fe2O3-CuO NANOCOMPOSITE FOR PHOTOCATALYTIC DEGRADATION OF METHYLENE BLUE La Ode Asmin; La Isa; Burhan Burhan
AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Vol 12 No 2 (2026)
Publisher : UPT Publication and Journal Management, Islamic University of Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jst.v12i2.23145

Abstract

In this study, co-precipitation method was employed to successfully synthesize a ternary NiO-Fe2O3-CuO nanocomposite, which was then utilized for the photocatalytic degradation of the methylene blue dye. The XRD confirmed the presence of the NiO, Fe2O3, and CuO phases, with an average crystallite size are 17.18 nm, 22.29 nm, and 27.46 nm respectively. The SEM images confirmed the shape of the NiO-Fe2O3-CuO nanocomposite, which were found to be irregular spherical agglomerated structures. The EDX spectra showed strong peaks of Ni, Fe, and Cu. The NiO-Fe2O3-CuO nanocomposite has a band gap of 2.92 eV. The photocatalytic activity of the NiO-Fe2O3-CuO nanocomposite against the methylene blue dye exhibited high degradation efficiency, reaching 98.56% within 60 minutes. Based on the results, the prepared nanocomposites showed potential as a photocatalyst for wastewater treatment.
BEHAVIOR-BASED ANOMALY DETECTION IN ONLINE ATTENDANCE SYSTEMS USING A GENETIC ALGORITHM–OPTIMIZED ISOLATION FOREST Wahyudi Ariannor; Budi Susarianto; Siti Fathimah; Siti Abidah
AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Vol 12 No 2 (2026)
Publisher : UPT Publication and Journal Management, Islamic University of Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jst.v12i2.23234

Abstract

Digital attendance systems are vulnerable to anomalous behaviors that may reduce attendance integrity and reliability. This study proposes an anomaly detection approach using Isolation Forest optimized with a Genetic Algorithm to improve anomaly detection performance in digital attendance environments. The proposed model utilizes behavioral features, including location, device consistency, network connectivity, and working duration. Experimental evaluation using Stratified 5-Fold Cross Validation demonstrates that the GA Hybrid approach significantly improves model performance, increasing the F1-score from 0.2934 to 0.6004 and recall from 0.1791 to 0.4345 while maintaining high precision. Feature analysis further reveals that location-based attributes are the most influential indicators in detecting anomalous attendance behavior. The results indicate that the proposed optimization approach can improve anomaly detection effectiveness while maintaining stable model performance.
SPI-BASED DROUGHT PREDICTION: COMPARING ARIMA AND MARKOV CHAIN MODELS Nur Azizah Affandy; Muhammad Feri Erfinansah; Rifky Aisyatul Faroh; Nur Nafi’iyah; Entin Hidayah; Dedy Dwi Prastyo; FX Suryadi
AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Vol 12 No 2 (2026)
Publisher : UPT Publication and Journal Management, Islamic University of Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jst.v12i2.23456

Abstract

Drought poses severe risks to agricultural sustainability in climate-vulnerable regions. This study compares AutoRegressive Integrated Moving Average (ARIMA) and Fuzzy Time Series–Markov Chain (FTS-MC) models for multi-timescale Standardized Precipitation Index (SPI) forecasting in the Slahung sub-watershed, East Java. Historical monthly rainfall data were transformed into SPI series to model seasonal behaviors and uncertainty transitions. Evaluated via Mean Squared Error (MSE), ARIMA demonstrated superior numerical accuracy in capturing temporal and seasonal trends. Conversely, FTS-MC provided complementary probabilistic insights into drought state transitions under high climatic variability. Integrating these deterministic and probabilistic approaches enhances drought-prediction robustness, offering water resource managers a comprehensive framework for climate risk mitigation.

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