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Pelatihan Desain Grafis Pin Menggunakan Corel Draw pada Unit Usaha Yayasan Fastabikhul Khairat Demak Eka Ardhianto; Endang Lestariningsih; Widiyanto Handoko; Hari Murti; Edy Supriyanto
Duta Abdimas Vol. 2 No. 1 (2023): Duta Abdimas: Jurnal Pengabdian Masyarakat
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/abdimas.v1i1.2491

Abstract

Pengembangan usaha dapat dilakukan dengan banyak cara, salah satunya ialah memperbanyak variasi produk. Cara ini ditempuh oleh unit usaha Yayasan Fastabiqul Khairat dengan mengembangkan usaha cetak dalam bentuk pembuatan marchandise pin. Keterbatasan kemampuan dan pengetahuan pengelola usaha menjadi sebuah hambatan bagi rencana pengembangan usaha tersebut. Berdasarkan permasalahan tersebut, kegiatan Pengabdian Kepada Masyarakat ini bertujuan dengan memberikan pelatihan dengan materi desain grafis pin menggunakan perangkat aplikasi corel draw. Kegiatan ini dilakukan dengan beberapa tahap yaitu tahap perencanaan, pelatihan, dan pendampingan. Sebagai indikator evaluasi, dilakukan pengisian kuisioner pretest dan posttest. Hasil yang diperoleh ialah bahwa kegiatan pelatihan desain grafis corel draw memberikan dampak siginifikan terhadap pengetahuan dan pemahaman peserta terhadap pembuatan desain meachandise pin.
Adopsi Pembangkit Kunci Blum Blum Shub Dan Bilangan Euler Pada Algoritma Extended Vigenere Eka Ardhianto; Widiyanto Tri Handoko; Endang Lestariningsih; Felix Andreas Sutanto
JOINTECS (Journal of Information Technology and Computer Science) Vol 8, No 2 (2023)
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jointecs.v8i2.4326

Abstract

Algoritma Vigenere merupakan model algoritma enkripsi yang sampai saat ini masih dikembangkan dalam bidang keamanan infromasi sampai saat ini. Salah satu aspek yang dipandang penting dalam bidang keamanan informasi adalah confidentiality. Permasalahan pencapaian confidentiality pesan atau informasi yang tinggi menjadi sesuatu yang kritis dalam bidang pengamanan informasi. Extended Vigenere dikenal sebagai evolusi Vigenere yang menggaplikasikan jumlah karakter set yang lebih luas. Salah satu pengembangan dalam algoritma Vigenere adalah dengan memodifikasi pembangkit kunci yang digunakan. Eksperimen ini bertujuan untuk melihat pengaruh confidentiality informasi terhadap penggunaan pembangkit kunci Blum Blum Shub (BBS) dan Bilangan Euler yang diaplikasikan pada Extended Vigenere. Metode pembangkit kunci BBS dan Bilangan Euler digunakan secara berurutan. Sebagai metrik pengukuran digunakan perhitungan entropi terhadap output Extended Vigenere. Hasil yang diperoleh ialah berupa peningkatan confidentiality informasi yang signifikan dengan nilai capaian entropi lebih dari 79% terhadap entropi optimum
Editing Foto Promosi Produk Menggunakan Smartphone bagi Pelaku Usaha UMKM Kota Semarang Eka Ardhianto; Widiyanto Tri Handoko; Endang Lestariningsih; Hari Murti; Rara Sriartati Redjeki; Theresia Dwiati Wismarini; Edy Supriyanto; R. Soelistijadi; Eko Nur Wahyudi; Fitika Andraini
Duta Abdimas Vol. 2 No. 2 (2023): Duta Abdimas: Jurnal Pengabdian Masyarakat
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/abdimas.v2i2.2774

Abstract

Sektor Usaha Mikro, Kecil dan Menengah (UMKM) memiliki posisi strategis dalam pergerakan perekonomian masyarakat. Selama pandemi covid-19, para pelaku usaha terkeda dampak dalam penurusan omset penjualan. Salah satu upaya bertahan bagi para pelaku usaha ialah dengan melakukan promosi secara online melalui media sosial. Oleh karena itu foto produk memegang peran utama dalam bentuk komunikasi visual kepada calon konsumen. Permasalahan yang dihadapi olah para pelaku usaha adalah bentuk konten foto yang disuguhkan melalui media sosial dinilai belum sesuai kriteria pantas sebagai foto produk dimedia sosial. Dengan memberikan pelatihan dalam bentuk demonstrasi dan praktik, para pelaku usaha mampu membuat foto produk yang informatif dan layak untuk digunakan sebagai media promosi pada media sosial. Metode pelaksanaan yang dilakukan adalah penyampaian materi, diskusi dan praktik, evalusi. Hasil yang diperoleh ialah perbaikan kualitas foto produk pada media promosi, serta kecukupan dan kepuasan pelaku usaha dengan solusi penggunaan foto produk sebagai media komunikasi promosi kepada calon konsumen melalui media sosial. Dengan demikian foto produk yang sesuai dengan kriteria akan mempengaruhi daya tarik calon konsumen sehingga akan berdampak pada meningkatnya omset pada pelaku usaha UMKM.
Implementasi Data Mining Pada Penjualan Sepatu Menggunakan Algoritma Apriori (Kasus Toko Sepatu 3Stripesid) Danilla Oktaviyana Nurlyta Eka Saputri; Endang Lestariningsih
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 3 (2023): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i3.214

Abstract

Stock of goods is an important thing in the world of shops, stock of goods that are not carried out optimally will result in a vacancy of one of the available items. Likewise, too much stock of goods will cause over stock. This also happens at the 3stripeds.id store where there is often a vacancy in one of the inventory items purchased by customers, due to the lack of information regarding inventory control habits. So it is necessary to extract information on transaction data. The Apriori algorithm can help find out the names of items with the most sales. The a priori algorithm is a type of association rule in data mining, an association can be known by two benchmarks, namely support and confidence. Support (support value) is the percentage combination of these items, while confidence (certainty value) is the relationship between items in the association rules. The results obtained from the a priori algorithm process are combinations of items or rules with association values in the form of support values and confidence values. the results of the a priori algorithm testing process produce association rules formed from a combination of items that meet a minimum support of 3% and a minimum confidence of 10%, while the results of the a priori algorithm testing process produce association rules formed from a combination of items that meet a minimum support of 30% and minimum confidence 85% and there are 2 highest itemsets with 30% support and 100% confidence.Stock of goods is an important thing in the world of shops, stock of goods that are not carried out optimally will result in a vacancy of one of the available items. Likewise, too much stock of goods will cause over stock. This also happens at the 3stripeds.id store where there is often a vacancy in one of the inventory items purchased by customers, due to the lack of information regarding inventory control habits. So it is necessary to extract information on transaction data. The Apriori algorithm can help find out the names of items with the most sales. The a priori algorithm is a type of association rule in data mining, an association can be known by two benchmarks, namely support and confidence. Support (support value) is the percentage combination of these items, while confidence (certainty value) is the relationship between items in the association rules. The results obtained from the a priori algorithm process are combinations of items or rules with association values in the form of support values and confidence values. the results of the a priori algorithm testing process produce association rules formed from a combination of items that meet a minimum support of 3% and a minimum confidence of 10%, while the results of the a priori algorithm testing process produce association rules formed from a combination of items that meet a minimum support of 30% and minimum confidence 85% and there are 2 highest itemsets with 30% support and 100% confidence.
Studi Literasi Tersistematis Implementasi Metode-Metode Pengembangan Sistem Informasi Berbasis Basis Data Terdistribusi Endang Lestariningsih; Rara Sriartati Redjeki; Edy Supriyanto; Hari Murti; Eka Ardhianto; Eko Nur Wahyudi; Widiyanto Tri Handoko
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.9314

Abstract

Information systems cannot be separated from a database as the main database. As time goes by, the amount of data processed by information systems increases significantly. Currently, databases are not only stored in one storage media location, but can also be stored in different locations and locations. This is also supported by advances in network technology, both hardware and supporting software. The distributed database system model provides significant support for processing data stored in different locations. Many information system implementations use the concept of a distributed database system. The aim of this research is to study the development of database system implementation using distributed database system technology. This research uses a systematic literature observation approach. The results obtained are that the concept of a distributed database system is still used today to support information system governance that produces information tailored to user objectives. Systems created using development techniques based on the distributed database concept have advantages in several aspects of development.
Analisis Sentimen Ulasan Aplikasi Smart Campus Unisbank di Google Playstore Menggunakan Algoritma Naive Bayes Firmansyah, Dwi Rahma; Lestariningsih, Endang
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 2 (2024): APRIL-JUNE 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i2.1882

Abstract

This study explores sentiment analysis on SmartCampus Unisbank application reviews on Google Play Store using the Naive Bayes classification method. Through Python programming language and web scraping techniques employing the google-play-scraper library, review data was automatically obtained and organized in CSV format. Text preprocessing techniques such as case folding, stopwords removal, tokenization, and stemming were applied to ensure accurate analysis. The data was divided into training and testing sets, and TF-IDF (Term Frequency-Inverse Document Frequency) was used for feature extraction. A Naive Bayes model was constructed and evaluated, achieving an accuracy of 84.6%. While the model demonstrated proficiency in identifying negative sentiments with 100% precision, it requires refinement for recognizing positive sentiments. These findings provide valuable insights for SmartCampus Unisbank developers to understand user perspectives and improve application quality
Peningkatan Keamanan Data Melalui Teknik Super Enkripsi Menggunakan Algoritma Vigenere dan Caesar Wahyudi, Eko; Ardhianto, Eka; Handoko, Widiyanto; Murti, Hari; Supriyanto, Edy; Lestariningsih, Endang; Redjeki, Rara
Jurnal Informatika Polinema Vol. 10 No. 3 (2024): Vol. 10 No. 3 (2024)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v10i3.5131

Abstract

Keamanan data penting untuk dijaga, terutama di era digital ini. Salah satu cara untuk menjaga keamanan data adalah enkripsi. Teknik enkripsi digunakan untuk melindungi data. Penggunaan konsep super-enkripsi memberikan efek peningkatan keamanan informasi. Tujuan dari penelitian ini adalah untuk memperkuat algoritma Caesar Cipher Standard dengan konsep super-enkripsi, dimana teknik yang diterapkan adalah kombinasi algoritma Caesar Cipher Standard dengan Vigenere Autokey sebagai ukuran kinerja menggunakan perhitungan entropi. Sebagai metrik performansi digunakan nilai entropi yang menyatakan Tingkat keamanan data. Berdasarkan hasil yang diperoleh, nilai entropi usulan metode super enkripsi lebih baik yaitu 4,972, lebih baik dari sebelumnya yaitu 4,689. Nilai yang diperoleh menunjukkan peningkatan yang signifikan dengan capaian tingkat keamanan hingga 62,15% dibanding sebelumnya 58,62%. Ukuran file cipherteks dan ukuran file plainteks pada eksperimen ini tidak mengalami perubahan, sehingga menghemat sumberdaya media penyimpanan. Selain itu berdasarkan eksperimen yang dilakukan nilai ukuran file optimal untuk melakukan ekripsi adalah 16 kilobyte dengan nilai entropi tertinggi adalah 5,095. Dengan demikian, penggunaan teknik super enkripsi untuk melindungi data mampu memberikan keamanan yang lebih baik
Perluasan Pemasaran melalui Literasi Aplikasi Shopee bagi UMKM Paguyuban Lentera Mranggen Demak Supriyanto, Edy; Lestariningsih, Endang; Murti, Hari; Redjeki, Rara Sriartati; Handoko, Widiyanto Tri; Ardhianto, Eka; Soelistijadi, R.; Wismarini, Theresia Dwiati; Wahyudi, Eko Nur; Lusiana, Veronica
Jurnal Pengabdian Pada Masyarakat Vol 9 No 4 (2024): Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Mathla'ul Anwar Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30653/jppm.v9i4.989

Abstract

Pelaku usaha UMKM adalah kelompok penting yang menggerakkan perekonomian mikro dimasyarakat. Paguyuban UMKM Lentera yang terletak di Mranggen Demak, sebelah timur pinggir kota Semarang, juga perlu mendapatkan perhatian untuk meningkatkan kemampuan pengelolaan dan pendapatan. Hal ini dilihat dari maraknya pembukaan minimarket yang tumbuh dibanyak area penduduk. Permasalahan yang dihadapai saat ini dalah area pemasaran yang terbatas dan jumlah pendapatan yang saat ini stagnan dan cenderung menurun. Solusi yang ditawarkan atas permasalahan adalah adanya ekspansi pasar melalui pembukaan toko online. Pelaksanaan kegiatan ini menggunakan teknik Participatoty Action Research (PAR) dengan bentuk seminar, pelatihan, dan pendampingan. Hasil yang diperoleh adalah meningkatnya pemahaman anggota UMKM Lentera terhadap manfaat, resiko penggunaan toko online, serta keberhasilan para anggota UMKM Lentera untuk membuka toko online sebesar 64,28% dari jumlah peserta keseluruhuan. Toko online yang dimiliki perserta lengkap dengan foto produk dan harga yang siap bersaing. Sebagai bentuk refleksi perlua danya pendampingan dan kegiatan secara berlanjut untuk meningkatkan pemasaran dari berbagai aspek. MSME entrepreneurs are an important group that drives the micro-economy into society. The Lentera MSME Association, which is located on Mranggen Demak, eastern of the edge of Semarang city, also needs attention to improve management capabilities and income. This can be seen from the widespread opening of minimarkets which are growing in many populated areas. The problems currently faced are the limited marketing area and the amount of income which is currently stagnant and tends to decrease. The solution offered to the problem is market expansion through opening an online shop. The implementation of this activity uses Participatory Action Research (PAR) techniques in the form of seminars, training and mentoring. The results obtained were an increase in the understanding of MSME Lentera members regarding the benefits, risks of using online shops, as well as the success of MSME Lentera members in opening online shops amounting to 64.28% of the total number of participants. The online shop owned by participants is complete with product photos and prices that are ready to compete. As a form of reflection on the need for ongoing assistance and activities to improve marketing in various aspects.
Implementasi Metode ANP Untuk Pemberian Bantuan Sosial Wulandari, Putri; Soelistijadi, R.; Lestariningsih, Endang
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.489

Abstract

Poverty is a condition of a person or group of people with limited assets and valuables. With these limitations, the community is unable to finance the necessities of a decent life. Standards for the needs of a person’s life worth include food and drink, clothing, a place to live or a house,work and so on. The selection of social assistance recipients is still done manually so that it will affect the outcome of the decision. So, it is necessary to create a system that helps the decision support process for social assistance recipient the ANP (Analytic Network Process) method. In ANP there are 7 (seven) stages, including : determining alternatives, determining criteria, determining alternative comparisons for each node in the criteria cluster, determining the comparison of criteria for each node in the alternative cluster, calculating the weighted supermatrix, calculating the unweighted supermatrix and supermatrix limit. The alternative refers to the name of the community that is the candidate for assistance and the criteria refers to a requirement for social assistace recipients in the Bumirejo sub-district. The first step is calculating ANP by inputting alternative data and criteria data and determining an alternative comparison table for nodes in each criterion cluster and vice versa, in order to produce an index and consistency ratio. The implementation of ANP determines an unweighted and weighted supermatrix with a limit supematrix so as to produce a rangking of decision support system for determining poverty ranking in the provision of social assistance with the lowest synthesis value of 0,11824021. so it can be concluded that this final result can be used as a benchmark for social assistance recipients based on predetermined criteria
Penerapan Metode SAW Pada Rekomendasi Pemilihan Jenis Jamur Untuk Budidaya Dan Konsumsi Nurrohim, Muhammad; Lestariningsih, Endang; Nurraharjo, Eddy
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.508

Abstract

Advances and developments in technology are currently getting faster, because technology has many uses. One of them is technology is used to assist in making decisions. The aim of this research project is to design and build a decision support system to determine which mushroom plants can be cultivated and consumed safely, resulting in a recommendation system for selecting mushroom species for cultivation and consumption for users or the community. In recent years, mushrooms have become a hot topic of conversation in Indonesia. Currently, people in Indonesia are starting to like to consume various processed foods made from consumption mushrooms. So that the raw material for production, namely mushrooms, is needed quite a lot. In the end, several elements of society began to peek at business opportunities to cultivate consumption mushrooms to earn income. The method that will be applied in the system is the SAW (Simple Additive Weighting) method. The workings of the method is to perform calculations, namely calculating the weighted number of rating criteria on all attributes in each alternative then producing the largest value which is selected as the best alternative and a thorough ranking is carried out. The results obtained are for oyster mushrooms to be ranked as the best alternative with the largest value of 23