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Bangkit Lutfiaji Syaefullah
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Jurnal Triton
Published by Politeknik Pembangunan Pertanian Manokwari
ISSN : 20853823     EISSN : 27453650     DOI : 10.47687
Core Subject : Health, Science, Agriculture, Social,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Environmental Science Social Sciences Veterinary
Jurnal Triton Politeknik Pembangunan Pertanian Manokwari with registered number p ISSN 2085-3823 and e ISSN 2745-3650 is a scientific open access journal published by Politeknik Pembangunan Pertanian Manokwari. Jurnal Triton has been certificated with number 0005.0036/Jl.3.02/SK.ISSN/2009.04 and 0005.27453650/JI.3.1/SK.ISSN/2020.09 as a scientific journal by the Ministry of Research-Technology and Higher Education Republic of Indonesia. Jurnal Triton aims to publish original research results and reviews such as agriculture, animal husbandry and plantation. Jurnal Triton encompasses a broad range of research topics in agriculture: extension, socio-economic, policy, cultivation, tissue culture, biotechnology, animal (health, production, nutrition, welfare, behavior, reproduction and product), and post-harvest. Jurnal Triton is published every six months (June and December).
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Pertanian dan Biologi (Lain-Lain)
Articles 304 Documents
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Physical Performance of Cucumis melo var. inodorus Fruit under Different Storage Conditions Nurul Habibah; Nasrudin Nasrudin; R. Arif Malik Ramadhan
JURNAL TRITON Vol 17 No 1 (2026): JURNAL TRITON (Issue in Progress)
Publisher : Politeknik Pembangunan Pertanian Manokwari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47687/jt.v17i1.1690

Abstract

Melon is an economically important horticultural crop, widely cultivated for its sweet taste and nutritional benefits. However, its postharvest quality is strongly affected by storage conditions, particularly temperature, which can alter the fruit’s physiology, weight, texture, and shelf life. This study aims to evaluate the effect of storage temperature on the physical quality and shelf life of Cucumis melo var. inodorus. The study used a Completely Randomized Design with storage temperature treatments, namely, room temperature and low temperature, with five replications. Observed variables included fruit length, fruit diameter, fruit weight, skin and flesh thickness, flesh color, texture, and shelf life during the storage period. The results showed that storage at low temperature was able to maintain weight, skin and flesh thickness, firmness, and delayed color changes, while room temperature accelerated water loss, tissue softening, and color changes. Correlation analysis revealed that greater fruit diameter was positively correlated with both fruit weight and shelf life, whereas high temperature had a negative influence on these traits. Overall, storing melon at low temperatures extended its shelf life by approximately eight days compared to room temperature, while also preserving the fruit’s physical quality. These findings provide practical guidance for farmers, distributors, and retailers to minimize losses, maintain consumer quality, and enhance the market competitiveness of Cucumis melo var. inodorus.
The Effect of Multifloral Honey Addition on The Physico-chemical and Sensory Evaluation of Marshmallow Dedes Amertaningtyas; Shofiya Naifa Abidah; Zahra Diza Iqlima Didi Rosidi; Christbugi Welda Dellani; Aldyon Restu Azkarahman
JURNAL TRITON Vol 17 No 1 (2026): JURNAL TRITON (Issue in Progress)
Publisher : Politeknik Pembangunan Pertanian Manokwari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47687/jt.v17i1.1717

Abstract

This study aimed to determine the effect of multifloral honey addition on the physicochemical and sensory evaluation of marshmallows. The research was conducted using a laboratory experiment with a Completely Randomized Design (CRD), if there are differences, the Duncan Multiple Range Test (DMRT) will be used. This study consisted of 4 treatments with 5 replications: without multifloral honey addition (M0), 15% multifloral honey concentration (M1), 30% multifloral honey concentration (M2), and 45% multifloral honey concentration (M3), calculated on a volume-to-volume basis (v/v) relative to the total gelatin used in the marshmallow formulation. The variables in this study included moisture content, water activity, chewiness, Lab* color, reducing sugar, ash content, antioxidant activity, and sensory evaluation. The result showed that multifloral honey addition had a highly significant effect (P<0.01) on moisture content, reducing sugar content, ash content, and antioxidant activity (IC50) of marshmallow, and had a significant effect (P<0.05) on the decrease of color sensory evaluation. Multifloral honey addition showed no significant effect (P>0.05) on water activity (Aw), chewiness (N), color Lab*, as well as sensory evaluation parameters (taste, aroma, texture, and overall acceptance). The average values of the moisture content of marshmallows ranged from 26.22–27.98%; Aw 0.703–0.733; chewiness 2.94–3.30 N; brightness level (L*) 92.81–93.65; redness (a*) -0.376 – (-0.568); yellowness (b*) 7.062– 8.016; reducing sugar content 8.99–20.95%; ash content 0.61–2.65%; antioxidant activity (IC50) 110.63–462.83µg/ml; sensory evaluation including taste 3.8–4.09; color 4.45–4.74; aroma 3.74–3.91; texture 3.54–3.91; and overall acceptance 3.83- 4.09. The formulation with 15% multifloral honey addition (M1) was indicated as the optimal treatment based on physicochemical and sensory evaluation.
Comparative Morphological Assessment of Swamp Buffalo (Bubalus bubalis) Populations in East Java, Indonesia: A Case Study of Tuban and Pacitan Districts Abdul Basith; Laily Isnaini Rahmawati
JURNAL TRITON Vol 17 No 1 (2026): JURNAL TRITON (Issue in Progress)
Publisher : Politeknik Pembangunan Pertanian Manokwari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47687/jt.v17i1.1718

Abstract

The swamp buffalo (Bubalus bubalis) is a critical domestic ruminant in Indonesia. Continuous morphological evaluation is vital for conserving this genetic resource. This study characterized qualitative and quantitative traits of swamp buffalo populations in Tuban and Pacitan districts, East Java, Indonesia. Using purposive sampling, 64 adult buffaloes (32 per district) were assessed. Buffalo samples aged more than 25 months, regardless of sex. Qualitative analysis identified regional variation in body stature and coloration between populations. Quantitative metrics included chest girth, body length, height, head length, neck length, tail length, horn length, and estimated body weight. Tuban buffaloes exhibited a chest girth of 182.31 ± 24.76 cm, body length of 148.94 ± 22.34 cm, height of 119.56 ± 12.48 cm, head length of 46.63 ± 7.80 cm, neck length of 42.88 ± 7.70 cm, tail length of 76.63 ± 9.15 cm, horn length of 14.44 ± 3.98 cm, and estimated body weight of 1045.49 ± 401.51 kg. Pacitan buffaloes displayed higher averages, including a chest girth of 194.44 ± 24.49 cm, body length of 152.25 ± 23.83 cm, height of 122.13 ± 16.81 cm, head length of 49.88 ± 5.28 cm, neck length of 44.31 ± 8.24 cm, tail length of 77.69 ± 10.24 cm, horn length of 13.63 ± 3.90 cm, and estimated body weight of 1208.98 ± 415.66 kg. Despite these differences, one-way ANOVA revealed no statistically significant divergence (p > 0.05) in quantitative traits between populations. These findings provide critical baseline data for conserving East Java’s swamp buffaloes.
Analisis Integrasi Algoritma YOLOv8 dan CNN terhadap Klasifikasi Kualitas Telur Ayam Ras Petelur di Kabupaten Manokwari Helmi Saputra; Christian Dwi Suhendra; Alex De Kweldju
JURNAL TRITON Vol 17 No 1 (2026): JURNAL TRITON (Issue in Progress)
Publisher : Politeknik Pembangunan Pertanian Manokwari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47687/jt.v17i1.1912

Abstract

Penilaian mutu telur ayam petelur umumnya masih dilakukan secara manual sehingga rentan terhadap subjektivitas dan ketidakkonsistenan hasil, sementara kebutuhan akan proses grading yang cepat dan akurat semakin meningkat. Penelitian ini dilakukan untuk mengembangkan model klasifikasi mutu telur berbasis warna dan bentuk kerabang dengan memanfaatkan algoritma YOLOv8 dan Convolutional Neural Network (CNN). Data dikumpulkan dari peternak lokal di Kabupaten Manokwari menggunakan metode Stratified Random Sampling dan menghasilkan 957 citra telur yang diberi label berdasarkan pedoman SNI 3926:2023. Proses preprocessing meliputi penyesuaian ukuran citra menjadi 640×640 piksel, normalisasi, serta augmentasi variasi pencahayaan dan sudut. YOLOv8 digunakan untuk mendeteksi posisi telur, sementara EfficientNet-B0 sebagai CNN digunakan untuk klasifikasi tiga tingkat mutu telur. Hasil penelitian menunjukkan bahwa YOLOv8 mampu mendeteksi objek dengan performa sangat baik dengan nilai mAP@0.5 sebesar 0.980, precision 0.97, dan recall 0.95, sedangkan model CNN mencapai akurasi validasi 91.9% dengan performa stabil pada seluruh kelas. Integrasi kedua model menghasilkan sistem yang mampu bekerja secara real-time dengan kecepatan 20–35 FPS dan dapat menghitung jumlah telur per grade secara otomatis. Berdasarkan hasil tersebut, dapat disimpulkan bahwa kombinasi YOLOv8 dan CNN mampu memberikan solusi yang cukup akurat untuk proses grading telur ayam petelur serta berpotensi diterapkan pada sistem sortasi pascapanen skala produksi.

Page 31 of 31 | Total Record : 304

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