Jurnal
Aktivitas Enzim Amilase Isolat Bakteri Amilolitik dari Tepung Sagu Basah dan Lingkungan Tempat Penyediaannya Secara Tradisional di Jayapura
JURNAL BIOLOGI PAPUA · Vol. 6 No. 2 (2018) · pp. 47–52
- ISSN
- 2503-0450, 2086-3314
- Published
- 2018-08-01
- Publisher
- Jurusan Biologi FMIPA Universitas Cenderawasih
- Language
- eng
Abstract
The study about the activity of the enzyme amylase from amylolytic bacterial isolates from wet sagoo starch and  its traditional provision environment had been done in Jayapura. The purposes of this study were to determine the activity of amylase enzyme and to identify the bacteria isolated from wet sagoo starch and its processing environment in Jayapura district. The method used was an experimental laboratorium in which isolation of amylolytic bacteria was performed by using nutrient agar medium with 1% soluble starch on spreed pour plate method. The enzyme activity was detected with 0.2% iodine in 2% potassium iodide which were able to form a clear zone. The protein content of the crude enzyme extract was determined by the Bradford method using bovine serum albumin (BSA). Amylase enzyme activity was determined by the formula: DUN/ml = [(R0-R1)/R0] [dilution factor] DUN/ml (dextrinizing units per ml). The results showed that there were 15 isolates amylolytic bacteria. Four (4) bacterial isolates have amylolytic power of more than 30 mm. The amilase activity of amylolytic bacterial of all  isolates were quite high: which were 35 577, 18 903,  32 106 and 46 600 U/mg for SU4, SU13, SU23 and SU40 respectively. The identification of isolates indicated that the three isolates are members of the Bacillus cereus ATCC 14 579 types with a similarity value of 71.70% to 81.10%, and one isolate is Bacillus subtilis ATCC 6501 members with a similarity value of 94.30%. Keywords: Amylolytic bacteria, amylase activity, characterization, sago flour.
Collaboration network of the authors
40 authors · 109 co-authorship links · showing the 40 most connected
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- State University of Semarang
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Dirk Y.P. Runtuboi | Affiliation unknown | 2 |
| Irma Rahayu | Affiliation unknown | 2 |
| Lolita Tuhumena | Affiliation unknown | 2 |
| Popi Ida Laila Ayer | Affiliation unknown | 2 |
| Korinus Rejauw | Affiliation unknown | 2 |
| Ervina Indrayani | Affiliation unknown | 2 |
| Rini S. Kelanit | Affiliation unknown | 1 |
| Endang T.P. Sari | Affiliation unknown | 1 |
| Marthin De Fretes | Affiliation unknown | 1 |
| Suriani Br Surbakti | Affiliation unknown | 1 |
| Dirk Runtuboi | Affiliation unknown | 1 |
| Yunus P. Paulungan | Affiliation unknown | 1 |
| Maria Simonapendi | Affiliation unknown | 1 |
| Nadya N.L. Pakpahan | Affiliation unknown | 1 |
| Daniel Lantang | Affiliation unknown | 1 |
| Dais Iswanto | Affiliation unknown | 1 |
| Johnson Siallagan | Affiliation unknown | 1 |
| Indah D. Setyowati | Affiliation unknown | 1 |
| Auldry F. Walukow | Affiliation unknown | 1 |
| Novita Medyati | Affiliation unknown | 1 |
| GOLDA NORA SITUMORANG | Affiliation unknown | 1 |
| VIRMAN VIRMAN | Affiliation unknown | 1 |
| ELVI RAPILUS | Affiliation unknown | 1 |
| Puji Rahayu | State University of Semarang | 1 |
| IRFAN WAHYUDI | Affiliation unknown | 1 |
| Alfred Antoh | Affiliation unknown | 1 |
| M. Wahyu Puji Utama | Affiliation unknown | 1 |
| Rosye H.R. Tanjung | Affiliation unknown | 1 |
| Euniche R.P.F. Ramandey | Affiliation unknown | 1 |
| Lisye I. Zebua | Affiliation unknown | 1 |
| I Made Budi | Affiliation unknown | 1 |
| Meinarni Asnawi | Affiliation unknown | 1 |
| TRIWIYONO TRIWIYONO | Affiliation unknown | 1 |
| Anastasia Numberi | Affiliation unknown | 1 |
| Octolia Togibasa | Affiliation unknown | 1 |
| Efray Wanimbo | Affiliation unknown | 1 |
| Vera K. Mandey | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.