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All Journal International Journal of Advances in Applied Sciences Bulletin of Electrical Engineering and Informatics Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Jurnal Khatulistiwa Informatika Information System for Educators and Professionals : Journal of Information System Information Management For Educators And Professionals (IMBI) JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Mantik Penusa Jurnal Riset Informatika JUSIM (Jurnal Sistem Informasi Musirawas) Journal of Information System, Applied, Management, Accounting and Research JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Infortech Infotek : Jurnal Informatika dan Teknologi International Journal Of Science, Technology & Management (IJSTM) Jurnal Sistem Informasi Akuntansi SPEED - Sentra Penelitian Engineering dan Edukasi Journal of Artificial Intelligence and Engineering Applications (JAIEA) JURNAL POLI-TEKNOLOGI Indonesian Journal Computer Science (ijcs) Jurnal Pengabdian Masyarakat Nasional Smatika Jurnal : STIKI Informatika Jurnal
Kudiantoro Widianto, Kudiantoro
Universitas Bina Sarana Informatika
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Transportation Other

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KAJIAN PENGGUNAAN SOFTWARE ZAHIR ACCOUNTING DENGAN PENDEKATAN TECHNOLOGY ACCEPTANCE MODEL (Studi Kasus : Mahasiswa Program Studi Komputerisasi Akuntansi AMIK “BSI Bogor”) Kudiantoro Widianto
Jurnal Khatulistiwa Informatika Vol 3, No 1 (2015): Periode Juni 2015
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (906.069 KB) | DOI: 10.31294/jki.v3i1.1653

Abstract

Zahir Accounting Software use this caused a reaction on its self, in the form of acceptance or rejection. Due to the success of the application of information technology is subject to acceptance by the user as the user of technology. A technology acceptance model known as TAM (Technology Acceptance Model) can explain and predict the acceptance of the technology by the user. TAM models used to determine attitudes, intentions and behavior of users by using two main input variables of expediency and convenience. This study by spreading the questionnaire number 117 in the form of a closed question in the form of statements to know how to influence the perception of self-efficacy variable of Computer Self Efficacy (CSE), Perceived Ease of Use (PEoU), Perceived usefulness (PU), the Attitude Toward using (ATU), Behavioral Intention to Use (BITU) and Actual System Usage (ASU). Factors that affect the acceptance of the use of Software Zahir in Bogor BSI AMIK Computerized Accountancy Studies on research studies Zahir Accounting Software usage capabilities include themselves on the computer, perceived ease of use, perceived usefulness, the attitude to use, behavioral intention to use and actual use system.Keywords: Zahir Accounting, TAM, SEM, dan AMOS
PENGUKURAN PENGGUNAAN E-LEARNING PADA SMK–SMAK BOGOR DENGAN TECNOLOGY ACCEPTANCE MODEL (TAM) Fety Febriyanti; Kudiantoro Widianto
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 2 No 2 (2017): JITK Issue February 2017
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (693.746 KB)

Abstract

The implementation of e-learning in SMK-SMAK Bogor since the 2012-2013 school year. The E-learning consists of learning materials, matter (assignment), exams and can also communicate between students and teachers. This study aims to determine the factors that influence students' attitudes in accepting the use of e-learning in Vocational High School - SMAK Bogor. Variables used in this research is the ease of use and benefit by using the Technology Acceptance Model (TAM). Data collection methods used are observation, interviews, library research, and questionnaires. Total population is taken as many as 273 students of class XI and the respondent sample used in this study were as many as 73 students, is calculated using the formula Slovin with 10% significance. This type of sampling used was probability sampling with simple random sampling technique. In this study, the quantitative analysis used multiple regression analysis. Based on the analysis of the data showed that 12.8% of students who accept the existence of e-learning technology based on the ease and benefits of e-learning. The results of these two hypotheses being tested, H1: Ease of use of e-learning influence the attitudes of the users of e-learning. H2: Benefits of e-learning did not affect the user's e-learning attitude. This is because the significant value of the benefit is greater than 5% (0.46 > 0.05).
METODE FUZZYSIMPLE ADDITIVE WEIGHTED DALAM MENDAPATKANKARYAWAN TERBAIK PT. DEICON KREASINDO Kudiantoro Widianto; Dian Sahara
Jurnal Mantik Penusa Vol. 3 No. 1,Juni (2019): Manajemen dan Informatika
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (376.452 KB)

Abstract

Kemajuan perusahaan ditentukan oleh kinerja karyawan sehingga karyawan harus meningkatkan kualitas dan prestasi dalam menjalankan tugas.PT Deicon Kreasindo merupakan perusahaan swasta nasional yang berdiri sejak tahun 2003 dengan kantor yang berpusat di Jl. Otista Raya. Perusahaan ini bergerak dibidang Desaign Interior yang menghasilkan hasil yang berkualitas, desaign yang modern, namun harga yang terjangkau. PT. Deicon Kreasindo dalam pengambilan keputusan melakukan dengan mengamati karyawan kemudian data diolah secara manual sehingga terdapat kesalahan-kesalahan dalam penginputan data karyawan dan penilaian prestasi kerja, ini semua dikarenakan penilaian PT. Deicon Kreasindo dilakukan secara subjektif. Tujuan penelitian ini adalah mengetahui hasil penilaian kinerja karyawan PT. Deicon Kreasindo dengan Metode Fuzzy Simple Additive Weighted (FSAW). Dari hasil peneilitian dapat disimpulkan bahwa dengan adanya penilaian kinerja karyawan dengan menggunakan Metode FSAW yang diterapkan di PT. Deicon Kreasindo akan membantu pihak manajemen dalam menilai kinerja karyawanuntukmendapatkankaryawanterbaik karena Metode FSAW tersebut merupakan salah satu alternatif yang lebih baik dari penilaian mempunyai perbedaan yang signifikan padanilai kriteria dan bobot yang sudah ditentukan.
ANALISA KEPUASAN PENGUNJUNG MENGGUNAKAN METODE DECISION TREE DI PERKAMPUNGAN BUDAYA BETAWI SETU BABAKAN JAKARTA Kudiantoro Widianto; Achmad Rifai; Mutiara Nur Pratiwi
Jurnal Mantik Penusa Vol. 3 No. 3 (19): COmputer Science
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (245.212 KB)

Abstract

Tourist attraction managers in Jakarta make various efforts to win the competition, among others by increasing tourist visitor satisfaction. One of the attractions in Jakarta is Setu Babakan which is one of the attractive tourist attractions for tourists who want to enjoy the typical atmosphere of the countryside or witness native Betawi culture firsthand. In Setu Babakan, visitors can see natural scenery, enjoy typical Betawi culinary which is relatively cheap, and watch Betawi cultural arts performances. In addition, the manager of Setu Babakan also provides various facilities such as toilets, places of worship, children's playgrounds, and others to support visitors' activities. To visit Setu Babakan, there are many public vehicles that pass through this village and the cost is quite cheap. This study aims to analyze the visitors' satisfaction of Setu Babakan by using the attributes of cost, facilities, accessibility, and service. Researchers use the decision tree method C4.5 algorithm. From the decision tree image processed by RapidMiner it can be seen that the factors of visitor satisfaction are facilities and accessibility. After that the trial was performed on the dataset 3 times from the questionnaire data on 50 visitors obtained an accuracy of 100%. The classification results with the C4.5 algorithm of 100% are considered appropriate to be used to measure the level of visitor satisfaction with costs, facilities, accessibility, and service.
Penerapan Metode Association Rule Terhadap Pola Data Penyakit Pada RSUD Jakarta Menggunakan Algoritma Apriori Citra Permana Putra; Achmad Rifai; Irmawati Irmawati; Kudiantoro Widianto
JISAMAR (Journal of Information System, Applied, Management, Accounting and Research) Vol 6 No 4 (2022): JISAMAR : November 2022
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v6i4.828

Abstract

The hospital is a place to treat patients who come from various regions with various diseases, because lifestyle and the environment play a role in the course of the disease. Some of the problems that arise in dealing with disease include lack of information about the spread of disease and the percentage level of disease spread in the community. One solution to this problem is the application of the association rule method that looks for patterns or relationships between items in a dataset determined by an a priori algorithm that can search historical data to identify data patterns based on previously identified properties. This research method is quantitative data with primary data taken from medical records of Johar Baru Hospital Jakarta. Which then can be obtained an information on what diseases most often appear together in hospitals so that prevention of these diseases can be done. This study aims to find patterns of disease that are developing in the community. The resulting information can then be used by the hospital to maximize the availability of drugs, complete medical equipment, and rooms in the hospital.
Deep learning untuk pendeteksian penyakit kanker payudara dengan optimasi Adam Irmawati Irmawati; Yuris Alkhalifi; Agung Fazriansyah; Mohammad Syamsul Azis; Kudiantoro Widianto
JISAMAR (Journal of Information System, Applied, Management, Accounting and Research) Vol 7 No 1 (2023): JISAMAR : February 2023
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v7i1.1015

Abstract

Breast cancer is the second leading cause of death in female patients in the world. Breast cancer has caused death in more than 100 countries. Early diagnosis of breast cancer patients is important to reduce the possibility of death. Researchers focus on accurate breast cancer detection, automated diagnostic methods and breast cancer diagnosis. This paper proposes Adam's optimization for Deep Learning Algorithm to classify breast cancer detection. This study aims to overcome the problem of data instability and overfitting, as well as update network weights on deep learning training data. In this study, the authors conducted experiments with a combination of three hidden layers and learning speed to improve classification accuracy. The experiment used the breast cancer data set obtained from the UCI Study: the WBCD data set (Original) while the experimental results showed that the proposed scheme achieved 96.3% accuracy for classifying breast cancer.
KLASIFIKASI JENIS KEGAGALAN MESIN MENGGUNAKAN HYPERPARAMETER TUNNING SVM DAN LOGISTIC REGRESSION Ibnu Alfarobi; Sofian Wirahadi; Kudiantoro Widianto
JISAMAR (Journal of Information System, Applied, Management, Accounting and Research) Vol 7 No 3 (2023): JISAMAR (Agustus 2023)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v7i3.771

Abstract

kegagalan peralatan atau mesin dari suatu proses manufaktur sering mengakibatkan kerugian finansial yang besar bagi bisnis. Berdasarkan tingkat jenis kegagalan mesin, model dengan penurunan kinerja adalah sama untuk berbagai jenis tetapi akan berbeda untuk faktor manusia, mesin dan lingkungan. Dengan mengevaluasi efek dan penanganan yang berbeda, menjadi sangat penting untuk dapat memprediksi faktor – faktor yang menentukan jenis kegagalan mesin. Dengan memanfaatkan model machine learning, pengklasifikasi diharapkan mampu memprediksi suatu jenis kegagalan dari mesin. Pada penelitian ini, memaksimalkan untuk mendapatkan hasil model dengan memanfaatkan hyerparameter yang di tuning pada algoritma Support Vector Machine dan Logistic Regression. Metode penanganan data seperti teknik Smote dan data preprocessing lainnya digunakan. Model menghasilkan perbedaan tingkat akurasi yang cukup besar yaitu 23%. Sehingga dapat disimpulkan model dengan menggunakan algoritma SVM bisa lebih baik dalam memprediksi jenis kegagalan mesin pada tingkat keakuratan sebesar 90% dibandingkan dengan model menggunakan algoritma Logistic Regression yang hanya menghasilkan keakuratan sebesar 67%.
Pelatihan Penggunaan Google Sheets Bagi Pengurus PKK Kelurahan Paledang Sebagai Media Pemrosesan Data Endah Eka Setiawati; Elin Panca Saputra; Ahmad Jurnaidi Wahidin; Kudiantoro Widianto
Jurnal Pengabdian Masyarakat Nasional Vol 3, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pemanas.v3i2.23751

Abstract

Pengolahan data tentunya merupakan pekerjaan yang memerlukan ketelitian dan keterampilan, kecepatan pengolahan data dan distribusi informasi memegang peranan penting dalam suatu instansi atau organisasi. Selain itu diperlukan peralatan pendukung agar pengolahan data dapat dilakukan secepat mungkin. Google telah melengkapi layanan Google Suites-nya dengan aplikasi pengolah data bernama Google Sheets, merupakan perangkat lunak spreadsheet yang mirip dengan perangkat lunak Microsoft Excel, tersedia bagi siapa saja yang memiliki akun Gmail. Dan yang terbaiknya adalah dapat digunakan secara gratis.  PKK Paledang Bogor merupakan perkumpulan aktif para ibu, Gerakan PKK adalah Gerakan Nasional dalam pembangunan masyarakat yang tumbuh dari bawah, pengelolaanya dari, oleh dan untuk masyarakat. Salah satu tugasnya melakukan pendataan, pencatatan sampai dengan pelaporan kepada pembina TP PKK. Permasalahan pada mitra adalah sulitnya mencatat, menyimpan dan membagikan data sesama pengurus PKK dan masih dilakukan secara ofline. Pelaksanaan kegiatan menggunakan metode peningkatan pengetahuan tentang pengolahan data menggunakan Google Sheets yang meliputi 2 tahap yaitu tahap 1 yaitu identifikasi dan memberikan pelatihan. Keberhasilan pelatihan diukuran melalui kuesioner yang diberikan kepada 22 peserta didapat presentase kepuasan peserta sebesar 100%. Disimpulkan kegiatan ini berjalan dengan lancar, para peserta pelatihan dapat memahami materi dengan jelas, terbukti dari hasil angket yang diberikan.
Penerapan Metode Association Rule Terhadap Pola Data Penyakit Pada RSUD Jakarta Menggunakan Algoritma Apriori Putra, Citra Permana; Rifai, Achmad; Widianto, Kudiantoro; irmawati, irmawati
Jurnal Infortech Vol 4, No 1 (2022): Juni 2022
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/infortech.v4i1.12849

Abstract

Rumah sakit adalah tempat untuk merawat pasien yang datang dari berbagai daerah dengan berbagai macam penyakit, karena gaya hidup dan lingkungan berperan dalam perjalanan penyakit. Beberapa permasalahan yang timbul dalam menangani penyakit antara lain kurangnya informasi tentang penyebaran penyakit dan tingkat prosentase penyebaran penyakit yang ada di masyarakat. Salah satu solusi dari masalah tersebut yaitu penerapan metode association rule yang mencari pola atau hubungan antar item dalam suatu dataset yang ditentukan dengan algoritma apriori yang dapat melakukan penelusuran terhadap data historis untuk mengidentifikasi pola data yang didasarkan pada sifat yang teridentifikasi sebelumnya. Metode penelitian ini adalah data kuantitatif dengan data primer yang diambil dari data rekam medis RSUD Johar Baru Jakarta. Yang kemudian dapat diperoleh suatu informasi penyakit apa yang paling sering muncul bersamaan pada rumah sakit sehingga dilakukan pencegahan penyakit tersebut. Penelitian ini bertujuan untuk menemukan pola penyakit yang sedang berkembang di masyarakat. Informasi yang dihasilkan selanjutnya dapat digunakan oleh pihak rumah sakit untuk dapat memaksimalkan ketersediaan obat, kelengkapan peralatan medis, dan ruangan di rumah sakit.Kata Kunci : Data Mining, Association Rule, Algoritma Apriori, Pola Data Penyakit
Comparison of Smartphone Technology using AHP, ELECTRE, and PROMETHEE Methods Akmaludin, Akmaludin; Suriyanto , Adhi Dharma; Iriadi, Nandang; Widianto, Kudiantoro
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13085

Abstract

The progress of smartphone technology is now very rapid, supported by many renewable features, even many users are competing to get the latest products without regard to the costs that have been incurred. The problem that arises is that it is increasingly difficult to select technology-based products with many criteria. The purpose of writing this paper is to provide the best solution for selecting technology-based products with multi-criteria to suit user needs by taking into account the costs incurred effectively and the use of contradictory multi-criteria applications. The presence of technology products always has many criteria that make it more difficult for users to choose products as the right choice according to their needs, thus the right method is needed as a solution to obtain technology-based products such as smartphones. The Analytic Hierarchy Process (AHP) method is used for the evaluation and selection process. This AHP method will collaborate with the ELECTRE and PROMETHEE methods as a comparison solution for smartphone product selection. The resulting comparison will be an applied model for smartphone selection that produces the best decision-making support according to user needs. The results of the collaborative implementation process of the ELECTRE and PROMETHEE methods provide a decision on the rating system. The collaborative application of the AHP method to the ELECTRE and PROMETHEE methods provides optimal decision support for the selection process, so that this can be used as a comparison material in making decisions regarding the selection of smartphones as technology-based products.
Co-Authors ACHMAD RIFAI Achmad Rifai ADHI DHARMA SURIYANTO Agung Fazriansyah Ahmad Jurnaidi Wahidin Akmaludin Akmaludin, Akmaludin Algif Hari Prameswara Amelia Julianda Putri Ami Rahmawati Amir Amir Angga Subrata Artika Surniandari Citra Permana Putra Dedi Saputra Dian Sahara Eko Yulianto Endah Eka Setiawati Erni Fajar Utomo, Waskito Faruq Aziz Fazriah, Rahmah Fety Febriyanti Hamdun Sulaiman Harmono, Feri Prasetyo Haryani Haryani Heri Agustian Ibnu Alfarobi Ibnu Alfarobi Irmawati Irmawati Irmawati Irmawati Irmawati Irwan Herliawan Irwan Herliawan Khofiyatun Nida Taufik Kukuh Panggalih M. Iqbal Alifudin M. Iqbal Alifudin Mahmud Safudin Martias Martias Maulana, Iksan Mohammad Syamsul Azis Moses Aripin Indah Setiawan Muhamad Ryansyah Muhammad Muharrom Muhammad Rifqi Ahdan Mutiara Nur Pratiwi Nandang Iriadi Nicodias Palasara Nugraha, Andria Panca Saputra, Elin Pratiwi, Mutiara Nur Priatno, Priatno Putra, Citra Permana Rismaniah Rismaniah Rizal, Khairul Samudi Sidik Sidik Siti Nurelis Rahmawati Sofian Wira Hadi Sopiyan Dalis Syaifur Rahmatullah AR Taufik Baidawi, Taufik Tyas Setiyorini Wawan Kurniawan Yuliani, Yuri Yuris Alkhalifi