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All Journal Jurnal Transformatika Journal of Economic, Bussines and Accounting (COSTING) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Prosiding SNAST
Yani Prihati
Universitas AKI
Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences

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ANALISIS EFEKTIFITAS IMPLEMENTASI APLIKASI PEMBELAJARAN PENDIDIKAN ANTI KORUPSI BERBASIS MULTIMEDIA SEBAGAI UPAYA REVITALISASI NASIONALISME Yani Prihati; Sinta Tridian Galih; Tri Karyanti
PROSIDING SNAST Prosiding SNAST 2018
Publisher : IST AKPRIND Yogyakarta

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Abstract

Corruption has become a serious problem in Indonesia. Acts of corruption can be done anywhere, by anyone, and by the amount that tends to increase. This is why the government established the KPK as an independent institution that has the task of corruption action and prevention. As one form of implementation of preventive duties, the KPK organizes anti-corruption education programs at every level of education. This shows that the world of education is very important to be involved in combating corruption among the younger generation. The context of this research is to implement a multimedia-based anti-corruption education learning media that has been developed previously called MedPAK. The object of this research is 5 universities in Semarang, Pati, Salatiga and Pekalongan involving 273 students as respondents. The method used is survey. The tests were conducted to measure the effect of MedPAK on the outcomes of anti-corruption education learning outcomes. The result of the test shows that the implementation of MedPAK improves the total score of learning achievement of anti corruption education by 12.0% so it can be concluded that MedPAK can support the improvement of the quality of anti-corruption education as one of the nationalism revitalization efforts of towards the improvement of the nation's competitiveness.
PENGARUH VARIAN MENU, PERSEPSI HARGA DAN KUALITAS PELAYANAN TERHADAP KEPUTUSAN PEMBELIAN STUDI KASUS PADA SOTO SEGER SEMARANG KOTA LAMA Yunita Anggreini; Yani Prihati
Journal of Economic, Bussines and Accounting (COSTING) Vol. 7 No. 6 (2024): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/costing.v7i6.13967

Abstract

Soto Seger Semarang Kota Lama merupakan rumah makan yang menyediakan aneka soto. Lokasi usaha Soto Seger sangat strategis, yang dimana usaha ini berada di daerah wisata Kota Lama Semarang. Soto Seger Kota Lama Semarang menyediakan beragam menu, persepsi harga yang terjangkau dan pelayanan yang baik guna untuk menarik minat konsumen dan meningkatkan omzet yang ada. Seorang pengusaha haruslah memperhatikan mengenai keputusan pembelian konsumen. Tujuan penelitian ini untuk mengetahui, menjelaskan, menganalisis dan mengukur mengenai pengaruh varian menu, persepsi harga dan kualitas pelayanan terhadap keputusan pembelian pada Soto Seger Semarang Kota Lama. Penelitian ini menggunakan metode kuantitatif, dengan teknik sampling yang digunakan yaitu random sampling dengan jumlah responden 100 orang. Cara pengumpulan data ini menggunakan pembagian kuesioner dengan pengukuran skala likert 1-5, dengan skor terendah yaitu 1 dan tertinggi yaitu 5. Alat analisis yang digunakan adalah Uji validitas, Uji reabilitas, Uji asumsi klasik, Regresi linear berganda, Uji t (satu sisi), uji f (simultan), dan Uji determinasi. Data yang diperoleh dalam penelitian ini diolah menggunakan SPSS versi 23. Hasil penelitian ini menunjukkan bahwa terdapat pengaruh positif dan signifikan pada variabel varian menu, persepsi harga, kualitas pelayanan dan keputusan pembelian.
Pelatihan Peningkatan Kualitas Layanan bagi Komunitas UMKM GIK di Kawasan Kota Lama Semarang untuk Mendorong Kepuasan Konsumen Erawati Kartika; Rahmat Budi Santoso; Yohana Tri Widayati; Yani Prihati; Ita Noviana
JURPIKAT Vol 5 No 4 (2024): Vol 5 No 4
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v5i4.3111

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kualitas layanan pelaku UMKM di kawasan Kota Lama Semarang melalui pelatihan service excellence. Permasalahan utama yang dihadapi mitra adalah rendahnya pemahaman mengenai kualitas layanan, belum adanya standar operasional pelayanan, serta keterbatasan keterampilan komunikasi dengan pelanggan. Metode yang digunakan adalah pendekatan partisipatif melalui pelatihan, simulasi, studi kasus, dan pendampingan. Hasil kegiatan menunjukkan bahwa lebih dari 85% peserta mengalami peningkatan pemahaman dan keterampilan dalam memberikan layanan kepada pelanggan. Selain itu, terjadi peningkatan kepuasan pelanggan sebesar 20% setelah pelatihan. Kegiatan ini memberikan dampak positif dalam meningkatkan profesionalisme pelaku UMKM serta memperkuat daya saing usaha di sektor ekonomi kreatif.
ANALISIS DAN KOMPARASI ALGORITMA NA VE BAYES DAN C4.5 UNTUK KLASIFIKASI LOYALITAS PELANGGAN MNC PLAY KOTA SEMARANG Yohana Tri Widayati; Yani Prihati; Stephanus Widjaja
Jurnal Transformatika Vol. 18 No. 2 (2021): January, 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i2.2541

Abstract

Customer loyalty is an important factor to the survival of a company. The problem facting today is related to the descreasing number of customer loyalty that happened to PT MNC Play. If this is allowed   to continue it is not impossible this will endanger the continuity of the company s business.Keep in mind the factors that cause customers to have loyal and disloyal status, data mining classification techniques can be used to classify loyal and disloyal customers. Many data mining classification algorithms can be used, so it needs to be comparative to know the accuracy of each algorithm, the algorithem used is C4.5 and Na ve Bayes. The data used were 28,899MNC Play customer of Semarang City.The results of the classification   process were evaluated using cross validation, confusion matrix, ROC Curve to find the more accurate data mining classification algorithm to determine loyal and disloyal customers.Keywords: Classification, Customers Loyalty, Na ve Bayes, C4.5.
Implementasi Twitter Bootstrap dalam Pengembangan Aplikasi Web E-Commerce (Studi Kasus Toko Putra Reban Kendal) Yohana Tri Widayati; Yani Prihati; Stephanus Widjaja; Satrio Agung Prakoso; Angeline Renita Notobudojo
Jurnal Transformatika Vol. 19 No. 1 (2021): July 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i1.3541

Abstract

This study aims to apply twitter bootstrap in an e-commerce web so that the web display becomes more responsive, that is, it can provide a display according to the device used to access the web. The object of this research is the Putra Reban Store in Kendal which markets local art equipment and supplies, especially masks.The system development method used in this research is the Scrum method with stages including product backlog, sprint backlog, sprint and working increment. This method was chosen because it can save system development time and can transform a business that is difficult to measure into one that is easy to develop. The system is designed with 2 actors, namely admin and customer. Admin has access rights to manage product data, customer data, and order data, while customers have the right to access product data and make order transactions.With this developed system, it is easier for Putra Reban Stores to market their products because product descriptions and product availability stocks can be informed more easily and accurately. With complete and accurate product information, it will also be easier for customers to make transactions.
Co-Authors Angeline Renita Notobudojo Ita noviana Kartika, Erawati Rahmat Budi Santoso Satrio Agung Prakoso Sinta Tridian Galih Tri Karyanti Widjaja, Stephanus Yohana Tri Widayati Yunita Anggreini