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Jurnal Ilmiah Biologi UMA (JIBIOMA)
Published by Universitas Medan Area
ISSN : -     EISSN : 27229777     DOI : 10.31289
Core Subject : Science,
Biochemistry, Genetics & Molecular Biology
Jurnal Ilmiah Biologi UMA (JIBIOMA) focuses on the publication of the results of scientific research related to fields. This article is published in the internal and external academic community of the University of Medan Area (UMA) especially in the field of Biology. Published articles are the results of research articles, studies or critical and comprehensive scientific studies on important issues related to the field of biology. Publication in May and November.
Arjuna Subject : Biokimia, Genetika dan Biologi Molekuler - Biokimia, Genetika dan Biologi Molekuler (Lain-Lain)
Articles 108 Documents
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Dinamika Populasi Azotobacter pada Tanah Ultisol Pertanaman Nanas: Pengaruh Kedalaman Bajak dan Jenis Kompos Sumardi, Sumardi; Ramadhani, Winih Sekaringtyas; Handayani, Kusuma; Triyono, Sugeng; Dermiyati, Dermiyati; Yusnaini, Sri; Pamela, Ahmad Bintang
Jurnal Ilmiah Biologi UMA (JIBIOMA) Vol 7, No 2 (2025): November 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jibioma.v7i2.5702

Abstract

The decline in pineapple production in Lampung Tengah regency occurred in 2023, where the decline reached 16.4% of the pineapple production in 2022 (8.6 million quintals). The decline in pineapple production came from PT Great Giant Pineapple (PT GGP), with the problem of accumulation of pineapple plant litter polymers on ultisol land. The solution that emerged was the adding of biochar, vermicompost and Azotobacter (LOB), with various plowing depth. The aim of this research was to determine the dynamics of Azotobacter population (log CFU g-1) in the ultisol soil of PT GGP’s pineapple plantations which were influenced by plowing depth, compost mixture and interaction between them. The supporting variables were the temperature (0C), water content (%), pH and soil organic carbon (%). Data analysis included ANOVA (α 5%), Tukey’s HSD Test (α 5%) and Pearson R Test (α 1%). The results showed that the Azotobacter population in pre-planting (PT) samples differed significantly between plowing depth, compost mixture and the interaction of the two factors. Deep plow treatment (± 40 cm) with finely chopped pineapple litter (L1) and application of premium GGP’s compost + LOB (P3) was the best treatment, with 4,96 log CFU g-1 Azotobacter population. Azotobacter population correlated not significantly with any supporting variables.
Kandungan Metabolit pada Planlet Tebu (Saccharum officinarum L.) pada Perbedaan Media dan Frekuensi Subkultur Marhamah, Yualinda Durotul; Kusdianti, Kusdianti; Surakusumah, Wahyu
Jurnal Ilmiah Biologi UMA (JIBIOMA) Vol 7, No 2 (2025): November 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jibioma.v7i2.6509

Abstract

Sugarcane has been widely used to treat various diseases due to its metabolite content. Tissue culture is one method that can be used to produce metabolites and is an alternative biotechnology as a conservation strategy. This study aims to analyze the differences in metabolite content in sugarcane plantlets cultured with different media and subculture frequencies. Plantlets were extracted using the maceration method with 70% p.a. ethanol solvent. Metabolite analysis was carried out using a Gas Chromatography-Mass Spectrometry (GC-MS) instrument. Metabolite identification was carried out based on the NIST library. The results showed that the 10th subculture of sugarcane plantlets cultured on MS+Kinetin+Coconut Water media contained 5 metabolites, while the 11th subculture of plantlets cultured on MS+Kinetin+Tidiazuron media contained 7 metabolites. Differences in the type and number of metabolites indicate the influence of culture conditions on the metabolite profile of the plantlets. This study provides an initial overview of the potential of sugarcane tissue culture in the production of secondary metabolites.
Kajian Etnobotani Tumbuhan Obat oleh Etnis Melayu di Desa Bagan Percut, Sumatera Utara Banurea, Aisyah; Susilo, Ferdinand; Nasution, Jamilah; Rahmiati, Rahmiati; Riyanto, Riyanto
Jurnal Ilmiah Biologi UMA (JIBIOMA) Vol 7, No 2 (2025): November 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jibioma.v7i2.6650

Abstract

Medicinal plants have long been used in traditional medicine as part of healing and disease prevention practices. The Malay ethnic group possesses inherited ethnobotanical knowledge regarding the use of medicinal plants. This study aims to identify the types of plants used as medicine and their applications by the Malay community in Bagan Percut Village, Percut Sei Tuan District, Deli Serdang Regency, North Sumatra. A qualitative and quantitative descriptive approach was employed through interviews with 50 respondents and 10 key informants possessing local knowledge of medicinal plants. The results revealed 65 medicinal plant species belonging to 35 sukues, with the dominant ones being Zingiberaceae (6 species), Solanaceae (5 species), and Fabaceae (5 species). The most frequently used plant parts were leaves (46%), fruits (28%), and rhizomes (9%). The most common method of preparation was boiling (29%), while the most common mode of use was oral consumption (48%). Herbaceous plants constituted the most utilized growth form (31%). The purposes of plant utilization included treatment (61.53%), care (24.6%), and general health improvement (13.8%). This study highlights the importance of preserving traditional ethnobotanical knowledge among the Malay community.
Analisis Sedimen Urine pada Peminum Kopi di Kelurahan Titi Rantai Kecamatan Medan Baru Kota Medan Budiarti Sembiring; Rosliana Lubis; Abdul Karim; Ferdinand Susilo
Jurnal Ilmiah Biologi UMA (JIBIOMA) Vol 8, No 1 (2026): Mei 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jibioma.v8i1.7104

Abstract

Coffee is a widely consumed beverage containing caffeine and oxalate, which may affect urinary tract health. This study aimed to analyze urine sediment among coffee drinkers in Titi Rantai Village, Medan Baru District, Medan City. A quantitative descriptive method was employed with 56 respondents selected through purposive sampling. Urine sediment examination was conducted microscopically to identify erythrocytes, leukocytes, epithelial cells, casts, crystals, and calcium oxalate crystals. Data were analyzed descriptively using frequency and percentage distributions. The results showed that 38 respondents (67.86%) had normal urine sediment, while 18 respondents (32.14%) exhibited abnormal urine sediment. The most common abnormalities were erythrocytes (51.79%), followed by calcium oxalate crystals (39.29%) and other crystals (37.50%). Calcium oxalate crystals were detected in 24 respondents (42.86%), whereas 32 respondents (57.14%) showed no calcium oxalate crystals. In conclusion, most coffee drinkers had normal urine sediment; however, abnormal findings, particularly erythrocytes and calcium oxalate crystals, were still observed and may indicate potential urinary tract disorders.
Gambaran Proteinuria dan Glukosuria pada Ibu Hamil Berdasarkan Usia dan Trimester Kehamilan di Puskesmas Teladan Medan Indrayani Kristina Simanjuntak; Sartini Sartini; Rahmiati Rahmiati; Rahma Sari Siregar
Jurnal Ilmiah Biologi UMA (JIBIOMA) Vol 8, No 1 (2026): Mei 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jibioma.v8i1.7105

Abstract

Proteinuria and glucosuria are important indicators for monitoring maternal health during pregnancy because they are associated with the risk of preeclampsia and gestational diabetes mellitus. This study aimed to describe the occurrence of proteinuria and glucosuria among pregnant women based on maternal age and gestational trimester at Teladan Primary Health Center, Medan, in 2023. A descriptive quantitative study with an observational approach was conducted involving 30 pregnant women selected through purposive sampling. Urine protein was examined using the 6% acetic acid method, while urine glucose was assessed using the Benedict reduction method. The results showed that most participants were aged 21–30 years (70.0%) and were in the second trimester of pregnancy (46.7%). Urine protein examination revealed negative results in 25 participants (83.3%), proteinuria of +1 in 4 participants (13.3%), and proteinuria of +2 in 1 participant (3.3%). Urine glucose examination showed negative results in 29 participants (96.7%) and positive results in 1 participant (3.3%). Proteinuria was observed among pregnant women with elevated blood pressure and a history of hypertension, whereas glucosuria was identified in a participant with a history of diabetes mellitus. In conclusion, most pregnant women had normal urine protein and glucose levels; however, routine urine screening remains essential for the early detection of pregnancy-related complications.
Etnobotani Tumbuhan dalam Upacara Pernikahan dan Mengayunkan Anak pada Masyarakat Melayu di Kecamatan Kualuh Leidong, Sumatera Utara Yayuk Asmiah; Jamilah Nasution; Abdul Karim; Riyanto Riyanto
Jurnal Ilmiah Biologi UMA (JIBIOMA) Vol 8, No 1 (2026): Mei 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jibioma.v8i1.7088

Abstract

The Malay community utilizes various plant species in traditional ceremonies as part of cultural heritage passed down through generations. This study aimed to identify the plant species, plant parts used, and their cultural significance in wedding and child cradle ceremonies among the Malay community in Kualuh Leidong District, North Sumatra, Indonesia. A descriptive qualitative method was employed through observation, interviews, and documentation, with informants selected using purposive sampling. The study recorded 36 plant species belonging to 19 families used in both ceremonies. Fruits were the most frequently utilized plant parts (39%), followed by seeds (18%), leaves (15%), rhizomes (12%), tubers (9%), and stems and flowers (6% each). Plants were used as food ingredients, cooking spices, and ritual materials, particularly in the tepung tawar ceremony. Common ceremonial dishes included sweet rice, yellow rice (bale-bale), preserved sweets, nasi ulam, rendang, semur, pickles, and fermented soybean paste (tauco). Beyond their practical functions, these plants also hold symbolic meanings related to blessings, gratitude, hopes, and the cultural identity of the Malay community.
Etnobotani Tumbuhan Pangan pada Upacara Pernikahan Adat Simalungun Ropianza Purba; Jamilah Nasution; Rahmiati Rahmiati; Riyanto Riyanto
Jurnal Ilmiah Biologi UMA (JIBIOMA) Vol 8, No 1 (2026): Mei 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jibioma.v8i1.7101

Abstract

The use of food plants in traditional ceremonies represents a form of local knowledge that reflects the close relationship between communities and the biological resources in their environment. Among the Simalungun ethnic community, various food plants are still utilized in traditional wedding ceremonies; however, scientific documentation regarding their use remains limited. This study aimed to identify the food plant species used in Simalungun wedding ceremonies, determine the plant parts utilized and their sources, and explore their cultural significance. The research was conducted in Silimakuta District, Simalungun Regency, North Sumatra, using a qualitative descriptive approach through observation, interviews, and documentation involving 36 purposively selected informants. The results revealed that 24 food plant species belonging to 13 families were used in the ceremonies. The most frequently utilized families were Zingiberaceae and Liliaceae. The plant parts used included fruits (25%), tubers (21%), seeds (17%), rhizomes (12.5%), leaves (12.5%), stems (8%), and flowers (4%). Food plants were obtained from farmlands (46%), traditional markets (46%), and home gardens (8%). Traditional dishes such as dayok nabinatur and ikan mas arsik carry symbolic meanings related to harmony, togetherness, and the cultural identity of the Simalungun people. This study demonstrates the important role of food plants in preserving cultural traditions and local ethnobotanical knowledge.
An Extended Deep Forest Algorithm with Automatic Parameter Selection for Binary Image Classification: Application to Malaria Diagnosis Jerry Emmanuel; Temitope Oluwaseun Ogungbesan
Jurnal Ilmiah Biologi UMA (JIBIOMA) Vol 8, No 1 (2026): Mei 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jibioma.v8i1.7103

Abstract

Deep forest has emerged as a lightweight machine-learning approach for image classification, offering lower computational requirements than many deep learning models. However, its classification performance is highly dependent on the selection of the n_estimators parameter, and determining the optimal value remains a challenge. This study aimed to develop an Extended Deep Forest (EDF) algorithm capable of automatically selecting the optimal number of estimators based on training dataset characteristics. The proposed method employs a data-driven interpolation function derived from the empirical relationship between training dataset size and the optimal estimator count. Experiments were conducted using eight binary image datasets, while the performance of EDF and the conventional deep forest was compared on four independent test datasets. The results showed that EDF consistently achieved higher classification performance on datasets requiring more than two estimators while maintaining comparable computational efficiency. Application of the proposed algorithm to thick blood smear malaria diagnosis achieved an accuracy of 94.05% and an F1-score of 94.03%, demonstrating competitive performance while preserving computational efficiency suitable for resource-constrained environments. In conclusion, EDF provides an effective and automated parameter-selection strategy that improves deep forest performance and supports its practical implementation in lightweight image-classification applications, including malaria diagnosis.

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