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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Tunas Bulletin of Information Technology (BIT)
Sunardi Sunardi
Universitas Stikubank
Arts Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Other

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Data Induk Mahasiswa sebagai Prediktor Ketepatan Waktu Lulus Menggunakan Algoritma CART Klasifikasi Data Mining Arief Jananto; Sulastri Sulastri; Eko Nur Wahyudi; Sunardi Sunardi
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 10, No 1 (2021): MARCH
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v10i1.991

Abstract

Fakultas Teknologi Informasi Universitas Stikubank (UNISBANK) as one of the faculties in higher education in implementing learning activities has produced a lot of stored data and has graduated many students. The level of timeliness of graduation is important for study programs as an assessment of success. This research tries to dig up the pile of student parent data and graduation data in order to get the pass rate and graduation prediction of active students. By implementing the classification data mining technique and the CART algorithm, it is hoped that a decision tree can be used to predict the class timeliness of graduating from active students. By using the graduation data and student parent data totaling 1018 records, a decision tree model was obtained with an accuracy rate of 63% from the data testing test. Determination of split nodes using the Gini Index which breaks the dataset based on its impurity value. Tests conducted in this study show that the order of the variables in the decision tree is gender, origin school status, parental education, age at entry, city of birth, parent's occupation. The prediction with the resulting model is that 71% of active S1 Information Systems students can graduate on time and 51% for S1 Informatics Engineering students.
Pengaruh Kemudahan Penggunaan dan Kemanfaatan Learning Management System (LMS) Terhadap Niat Penggunaan E-Learning Hersatoto Listiyono; Sunardi Sunardi; Agus Prasetyo Utomo; Novita Mariana
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 11, No 2 (2022): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v11i2.1419

Abstract

Tujuan dilakukannya penelitian ini adalah guna menganalisis dan menjelaskan pengaruh kemudahan  dan kegunaan teknologi Learning Management System (LMS) terhadap niat mahasiswa dalam menggunakanya selama masa pandemi COVID 19. Variabel bebas adalah Kemudahan Penggunaan dan Kegunaan/kemanfaatan teknologi LMS, serta variabel terikatnya adalah Niat Pengguna LMS. Jenis penelitian penjelasan (explanatory research), yaitu melalui pengujian hipotesa dengan menjelaskan hubungan kausal antar variabel. Responden adalah mahasiswa Universitas Stikubank Semarang yang tersebar di 4 fakultas. Sampel sebanyak 93 responden dengan menggunakan teknik insedentil non propability sampling. Analisis data yang digunakan deskriptif kuantitatif dan analisis regresi linier berganda. Hasil uji hipotesis terdapat pengaruh positif dan signifikan variabel Kemudahan Penggunaan terhadap Niat Pengguna dengan nilai beta sebesar 0,207. Sementara itu variabel Kemanfaatan terhadap Niat Pengguna juga berpengaruh positif signifikan dengan nilai beta sebesar 0,664. Niat mahasiswa menggunakan LMS pada e-learning sebesar 68,8% (Adjusted R2) dipengaruhi variabel kemudahan dan kemanfaatan, sisanya sebesar 31,2% dipengaruhi oleh variabel lain. Selain itu, manfaat yang dirasakan memiliki pengaruh paling besar pada niat perilaku untuk menggunakan LMS.
Pelatihan Fotografi Produk Kuliner Menggunakan Smartphone Pada Siswa SMK Ibu Kartini Semarang Sebagai Calon Pewirausaha P Purwatiningtyas; Hersatoto Listiyono; S Sunardi; Heribertus Yulianton
Jurnal TUNAS Vol 4, No 1 (2022): Edisi November
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jtunas.v4i1.80

Abstract

Product photos are indispensable for the world of marketing both online and offline. Therefore, it is important for entrepreneurs to be able to make attractive product photos so that potential consumers can be interested in exploring further or knowing more about the products being marketed and until a transaction occurs. To be able to make attractive product photos, it is necessary to provide knowledge and skills to prospective entrepreneurs in making product photos. S_M_K Ibu Kartini is a vocational high school that educates aspiring young entrepreneurs. Therefore the Informatics Management PkM Team collaborated with the school to carry out training on making these product photos. The result to be achieved is that prospective entrepreneurs are able to make attractive product photos using a smartphone. In the implementation of the training, which is still in a state of the Covid pandemic, the PkM team adapts to the Covid-19 process. In the training, after being given knowledge about interesting product photos, it was continued with the practice of shooting culinary products with smartphones. After completing the training, SMK I. Kartini asked for the willingness of the Informatics Management PkM Team so that in the next period there would be more training.
Perancangan Sistem Informasi E-Booking Jasa Steam Mobil Dan Motor Berbasis Web (Studi Kasus Cheers Autocare Solo) Yunus Yunus Anis; Sunardi; Purwatiningtyas; Arlamsyah Sendi Rifa
Bulletin of Information Technology (BIT) Vol 4 No 1: Maret 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i1.516

Abstract

In the Big Indonesian Dictionary, booking / ordering is the process of making, how to order (place, goods and so on) to other people. Every year the use of motorized vehicles always increases. This is evident from the data obtained through the Central Bureau of Statistics, namely as many as 136,320,000 million units in 2020. This research uses a qualitative research method which has several stages and flows, namely conducting field studies/observations, interviews, library research, and collecting data and developing software with the Waterfall method. This method is often interpreted as a classic life cycle which is an illustration of a systematic approach and sequential development of software, starting from the specifications required with several stages. The conclusion is that the design of the web-based Steam E-booking information system is in accordance with what is needed by Cheers. Autocare Solo, the results and tests are in accordance with user needs, the database used contains 6 tables, namely: admin, category, service, booking, complaint, customer reports, and Information System Design E-booking Steam car and motorbike services help make it easier for the company . The design of the web-based Steam E-booking information system is in accordance with what is required by Cheers Autocare Solo, the results and tests are in accordance with user needs and help make it easier for the company
Multi-Accent Speaker Detection Using Normalize Feature MFCC Neural Network Method Kristiawan Nugroho; Edy Winarno; Eri Zuliarso; Sunardi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 4 (2023): August 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i4.4652

Abstract

Speaker recognition is a field of research that continues to this day. Various methods have been developed to detect the human voice with greater precision and accuracy. Research on human speech recognition that is quite challenging is accent recognition. Detecting various types of human accents with different accents and ethnicities with high accuracy is a research that is quite difficult to do. According to the results of the research on the data preprocessing stage, feature extraction and selection of the right classification method play a very important role in determining the accuracy results. This study uses a preprocessing approach with normalizing features combined with MFCC as a method to perform feature extraction and the neural network (NN), which is a classification method that works based on the workings of the human brain. Research results obtained using the normalize feature with MFCC and neural network for multiaccent speaker recognition, the accuracy performance reaches 82.68%, precision is 83% and recall is 82.88%.
Co-Authors Agus Prasetyo Utomo Arief Jananto Arlamsyah Sendi Rifa Edy Winarno Eko Nur Wahyudi Eri Zuliarso Heribertus Yulianton Hersatoto Listiyono Kristiawan Nugroho Novita Mariana Purwatiningtyas Purwatiningtyas Sulastri Yunus Anis, Yunus