Article Per Year (5 Year)
p-Index From 2018 - 2023
0.61
P-Index
This Author published in this journals
All Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) J-SAKTI (Jurnal Sains Komputer dan Informatika)
Muhammad Eka
Universitas Nahdlatul Ulama Sumatera Utara
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Sistem Pakar Identifikasi Kerusakan pada Budidaya Lebah Madu (Apis Cerena) Menggunakan Metode Certainty Factor Muhammad Eka
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol 2 No 1 (2020): Edisi April
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jikstra.v2i1.274

Abstract

Expert systems which are part of artificial intelligence and have an important role in the development of information technology in various fields, expert systems answer all the problems we have faced by providing the right solutions based on one's expertise in a field. The expert system for identifying damage to the management of Apis Cerana bee cultivation is a practical solution in treating and repairing damage caused by pests and diseases. Identification of damage to the management of Apis Cerana bee cultivation using a certainty factor method, which will be assessed for its accuracy level by an expert. The result of using certainty factor method is definite proof or not a fact or diagnosis of damage caused by pests and diseases in Apis Cerana bee cultivation. The percentage level of certainty of damage to the management of Apis Cerana beekeeping is obtained and determined by an expert and implemented into a Web-based system.
Sistem Pakar Identifikasi Defisiensi Unsur Hara Pada Tanaman Kopi Menggunakan Metode Certainty Factor Berbasis Web Muhammad Eka; Novita Anggraini
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 2 (2017): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v1i2.46

Abstract

As the third largest coffee producing country in the world after Brazil and Vietnam, Indonesia is able to produce at least 748 thousand tons or 6.6% of coffee production in 2012. Of this amount, Robusta coffee production reached more than 601 thousand tons (80.4% ) and arabica coffee production reached more than 147 thousand tons (19.6%) .The area of coffee plantation in Indonesia reaches 1.3 million hectares (ha) with Robusta coffee plantation area reaches 1 million ha and arabica coffee plantation area reaches 0 , 30 ha. The use of technology in the cultivation of coffee cultivation in Indonesia, especially smallholder plantations is still minimal technology. Expert system approach by using certainty factor method to overcome uncertainty in identifying nutrient deficiency in coffee plant try to give solution that can be used by coffee farmer especially in smallholder plantation in sidical area of karo regency of north sumatera. By doing a direct observation of the leaves of coffee plants and ensure the symptoms of nutrient deficiency what actually happens in the coffee plant it is with this expert system of certainty of nutrient deficiencies can be known in detail without having to consult directly to the expert. Thus the fertilization process can be done properly, so it will affect the cost of production to a minimum.
Sistem Pakar Identifikasi Defisiensi Unsur Hara Pada Tanaman Kopi Menggunakan Metode Certainty Factor Berbasis Web Muhammad Eka; Novita Anggraini
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 2 (2017): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1124.31 KB) | DOI: 10.30645/j-sakti.v1i2.46

Abstract

As the third largest coffee producing country in the world after Brazil and Vietnam, Indonesia is able to produce at least 748 thousand tons or 6.6% of coffee production in 2012. Of this amount, Robusta coffee production reached more than 601 thousand tons (80.4% ) and arabica coffee production reached more than 147 thousand tons (19.6%) .The area of coffee plantation in Indonesia reaches 1.3 million hectares (ha) with Robusta coffee plantation area reaches 1 million ha and arabica coffee plantation area reaches 0 , 30 ha. The use of technology in the cultivation of coffee cultivation in Indonesia, especially smallholder plantations is still minimal technology. Expert system approach by using certainty factor method to overcome uncertainty in identifying nutrient deficiency in coffee plant try to give solution that can be used by coffee farmer especially in smallholder plantation in sidical area of karo regency of north sumatera. By doing a direct observation of the leaves of coffee plants and ensure the symptoms of nutrient deficiency what actually happens in the coffee plant it is with this expert system of certainty of nutrient deficiencies can be known in detail without having to consult directly to the expert. Thus the fertilization process can be done properly, so it will affect the cost of production to a minimum.
Penerapan Assosiation Rule Untuk Mendukung Sistem Pencapaian Target Pajak Pendapatan Kabupaten Deli Serdang Muhammad Eka; Rara Astili Siregar
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 2, No 2 (2018): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (588.459 KB) | DOI: 10.30645/j-sakti.v2i2.81

Abstract

Deli Serdang Regency has a complete and unique topography because there are coastal areas, lowlands and mountainous highlands with an area of 2,497.72 Ha consisting of 22 sub-districts, 380 villages and 14 villages. The main potential of the Deli Serdang regency are agriculture, smallholder plantations, large plantations, fisheries, aquaculture, livestock, industry, trade and tourism. Based on this big potential, Deli Serdang District Region has a large potential income tax. Planning and regional income tax management system of Deli Serdang Regency are carried out at the Regional Revenue Department of Deli Serdang Regency. Based on achievement data of tax revenue which is posted on Regional Deliberation Separtment of Deli Serdang Regency website, rate of regional income is still slow. The target line graph and the realization of regional revenues indicate that the targets have to be achieved are still far, because until June 2017 achievement only Rp. 56,950,403,904.02, - while the target to the end of December 2017 is Rp. 484,520,000,000. To achieve the annual target as expected need a strategy. Association analysis is also known as one of the data mining techniques basis of various other mining data techniques. By using the Apriori Algorithm, an analysis of the obstacles in achieving targets can be done to find interesting rules that are useful in supporting the system of achieving local tax targets. The implementation of Association Rule to support the achievement of the tax target is expected to help the process of achieving the target of regional income tax, especially in the Regional Revenue Department of Deli Serdang Regency.
Penerapan Assosiation Rule Untuk Mendukung Sistem Pencapaian Target Pajak Pendapatan Kabupaten Deli Serdang Muhammad Eka; Rara Astili Siregar
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 2, No 2 (2018): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (588.459 KB) | DOI: 10.30645/j-sakti.v2i2.81

Abstract

Deli Serdang Regency has a complete and unique topography because there are coastal areas, lowlands and mountainous highlands with an area of 2,497.72 Ha consisting of 22 sub-districts, 380 villages and 14 villages. The main potential of the Deli Serdang regency are agriculture, smallholder plantations, large plantations, fisheries, aquaculture, livestock, industry, trade and tourism. Based on this big potential, Deli Serdang District Region has a large potential income tax. Planning and regional income tax management system of Deli Serdang Regency are carried out at the Regional Revenue Department of Deli Serdang Regency. Based on achievement data of tax revenue which is posted on Regional Deliberation Separtment of Deli Serdang Regency website, rate of regional income is still slow. The target line graph and the realization of regional revenues indicate that the targets have to be achieved are still far, because until June 2017 achievement only Rp. 56,950,403,904.02, - while the target to the end of December 2017 is Rp. 484,520,000,000. To achieve the annual target as expected need a strategy. Association analysis is also known as one of the data mining techniques basis of various other mining data techniques. By using the Apriori Algorithm, an analysis of the obstacles in achieving targets can be done to find interesting rules that are useful in supporting the system of achieving local tax targets. The implementation of Association Rule to support the achievement of the tax target is expected to help the process of achieving the target of regional income tax, especially in the Regional Revenue Department of Deli Serdang Regency.
Co-Authors Novita Anggraini Rara Astili Siregar