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Efektivitas Jenis dan Frekuensi Pemberian Sampah Organik terhadap Pertumbuhan dan Kualitas Biokonservasi Maggot BSF (Hermetia illucens).

Life Science · Vol. 12 No. 1 (2023) · pp. 1–9

DOI
10.15294/lifesci.v12i1.64137
ISSN
2528-5009, 2252-6277
Published
2023-06-30
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

Organic waste is the type of waste that has the largest amount in Indonesia. If not managed properly, the organic waste can cause various kinds problem. One of the technologies to overcome this is by means composting using Black Soldier Fly (BSF) larvae. BSF larvae (maggot) has a better decomposition ability compared to organisms as well as other microorganisms. The aims of this research is to determine the most effective substarte that can affect the growth of black soldier larvae and the speed of bioconversion. This research is a quantitative descriptive study with an expreslanatory design. The study uses two variables (independent and dependent). Independent variables in this study are feeding frequency and type of organic waste as substrate. The dependent variables in this study are the speed ofbioconversion and the growth of black soldier larvae. The instruments used in this study are experiment research. The primary Data was obtained from 8 different composition and kind of organic waste. The analysis used is univariate analysis of variance using the SPSS 25.0 application. Results showed that restaurant waste is the most effective waste for reduction by black soldier fly larvae because it produces larvae with the best growth and the highest bioconversion rate among other waste.

Collaboration network of the authors

40 authors · 173 co-authorship links · 10 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Semarang
  • Universitas Papua
  • Institut Teknologi Sepuluh Nopember
  • Universitas Sumatera Utara
  • University of Technology Malaysia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Priyantini WidiyaningrumAffiliation unknown11
Dyah Rini IndriyantiState University of Semarang11
Pramesti DewiAffiliation unknown6
Tyas Agung PribadiAffiliation unknown4
Sri Mulyani Endang SusilowatiAffiliation unknown4
Dewi MustikaningtyasAffiliation unknown3
Sonika MaulanaAffiliation unknown3
Sucihatiningsih Dian Wisika PrajantiState University of Semarang3
Amin RetnoningsihAffiliation unknown3
Saiful RidloState University of Semarang3
Bambang PriyonoState University of Semarang3
Sri NgabektiState University of Semarang3
Ely RudyatmiAffiliation unknown3
Siti Harnina BintariAffiliation unknown2
Fahrur RoziInstitut Teknologi Sepuluh Nopember2
Heru SetyantoAffiliation unknown2
Rifa’atunnisa Rifa’atunnisaAffiliation unknown2
Juhadi JuhadiAffiliation unknown2
Edi KurniawanUniversitas Sumatera Utara2
Christina LitaayAffiliation unknown2
Margareta RahayuningsihAffiliation unknown2
Siti AlimahState University of Semarang2
Yustinus Ulung AnggraitoAffiliation unknown2
Sri SukaesihState University of Semarang2
Sriyadi SriyadiAffiliation unknown2
Rusyida AuliyaAffiliation unknown2
Naeli Tamin QonitaAffiliation unknown2
Previanda ArditamaAffiliation unknown2
Enni Suwarsi RahayuState University of Semarang2
Lisdiana LisdianaAffiliation unknown2
M. PaiticenState University of Semarang1
Elda Irma Jeanne Joice KawulurUniversitas Papua1
Silvia Hanna Kusuma SiraitUniversitas Papua1
S. MohammedUniversity of Technology Malaysia1
LisdianaAffiliation unknown1
Aura Tirsa MelindaAffiliation unknown1

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.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/UnnesJLifeSci/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Efektivitas Jenis dan Frekuensi Pemberian Sampah Organik terhadap Pertumbuhan dan Kualitas Biokonservasi Maggot BSF (Hermetia illucens).</dc:title>
	<dc:creator>Dewi, Mutiarani Kartika</dc:creator>
	<dc:creator>Widiatningrum, Talitha</dc:creator>
	<dc:creator>Subekti, Niken</dc:creator>
	<dc:creator>Setiati, Ning</dc:creator>
	<dc:description xml:lang="en-US">Organic waste is the type of waste that has the largest amount in Indonesia. If not managed properly, the organic waste can cause various kinds problem. One of the technologies to overcome this is by means composting using Black Soldier Fly (BSF) larvae. BSF larvae (maggot) has a better decomposition ability compared to organisms as well as other microorganisms. The aims of this research is &amp;nbsp;to determine the most effective substarte that can affect the growth of black soldier larvae and the speed of bioconversion. This research is a quantitative descriptive study with an expreslanatory design. The study uses two variables (independent and dependent). Independent variables in this study are feeding frequency and type of organic waste as substrate. The dependent variables in this study are the speed ofbioconversion and the growth of black soldier larvae. The instruments used in this study are experiment research. The primary Data was obtained from 8 different composition and kind of organic waste. The analysis used is univariate analysis of variance using the SPSS 25.0 application. Results showed that restaurant waste is the most effective waste for reduction by black soldier fly larvae because it produces larvae with the best growth and the highest bioconversion rate among other waste.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2023-06-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/UnnesJLifeSci/article/view/64137</dc:identifier>
	<dc:identifier>10.15294/lifesci.v12i1.64137</dc:identifier>
	<dc:source xml:lang="en-US">Life Science; Vol 12 No 1 (2023): May 2023; 1-9</dc:source>
	<dc:source>2528-5009</dc:source>
	<dc:source>2252-6277</dc:source>
	<dc:source>10.15294/lifesci.v12i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/UnnesJLifeSci/article/view/64137/24620</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Life Science</dc:rights>
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