Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

4.055

P-Index

This Author published in this journals

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 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) INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Jurnal Pengabdian Masyarakat Nasional

Kudiantoro Widianto, Kudiantoro

Universitas Bina Sarana Informatika

Author-ID : 646953

Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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

Published : 38 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3 4

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

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)

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)

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)

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.

Metode Algoritma Apriori Untuk Mendukung Penjualan 212 Mart Batan Indah Tangerang Selatan Kudiantoro Widianto; Ibnu Alfarobi; Algif Hari Prameswara
INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Vol 5 No 1 (2020): INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS (Desember 2020)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Abstrak: Persaingan dan perkembangan bisnis saat ini semakin berkembang pesat, sehingga perlu strategi untuk menaikan omset perusahaan, dan Pengembangan perusahaan, dalam kasus ini adalah retail. Dalam meningkatkan omset perusahaan dan mengembangkan perusahaan dapat dilakukan dengan cara menggunakan proses Data Mining, dan salah satu algoritma yang dapat digunakan adalah algoritma apriori. Pola pembelian barang oleh konsumen dapat ditemukan dengan menggunakan algoritma ini. Dari hasil penelitian di dapatkan itemset barang berupa Minyak Goreng Resto 1L Kumb , Marjan Syrup Cocopandan 460 ML dan Gulare Gula Kuning 1Kg adalah item barang yang sering dibeli secara bersamaan oleh konsumen. Dengan diketahuinya pola itemset barang oleh konsumen, pihak pengelola perusahaan dapat meningkatkan omset perusahaan dengan mengacu kepada hasil dari pengolahan data transaksi penjualan dengan menggunakan algoritma apriori. Kata Kunci: algoritma apriori, data penjualan, transaksi penjualan, retail. Abstract: Competition and business development are currently growing rapidly, so a strategy is needed to increase company turnover, and company development, in this case is retail. In increasing company turnover and developing the company, it can be done by using the Data Mining process, and one of the algorithms that can be used is the a priori algorithm. The pattern of purchasing goods by consumers can be found using this algorithm. From the research results obtained itemset in the form of 1L Kumb Resto Cooking Oil, Cocopandan Marjan Syrup 460 ML And 1Kg Yellow Sugar Gulare are items that are often purchased simultaneously by consumers. By knowing the itemset pattern of goods by consumers, the company manager can increase the company's turnover by referring to the results of processing sales transaction data using the aprior algorithm. Keywords: apriori algorithm, sales data, sales transaction, retail.

Kemudahan Dan Kegunaan Layanan E-Wallet Berdasarkan Model TAM Dan IPA Kudiantoro Widianto; Tyas Setiyorini; Angga Subrata
INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Vol 5 No 2 (2021): INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS (Juni 2021)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Abstrak: Dengan adanyan perkembangan teknologi informasi masa sekarang yang memaksakan semua lapisan masyarakat mengikutinya diantaranya pengguna dompet digital atau dalam istilah sekarang disebut e-wallet. E-wallet adalah salah satu jenis pembayaran elektronik. Di Indonesia, ada begitu banyak produk e-wallet, yang dikeluarkan oleh bank dan sektor swasta dalam bentuk suatu aplikasi. Suatu apalikasi diterima oleh masyarakat dapat dilihat dari sisi kegunaan dan kemudahannya. Pengujian kegunaan dan kemudahan aplikasi dapat dilakukan dengan menggunakannya pendekatan Technology Acceptance Model (TAM) dan Importance Performance Analysis (IPA) dengan menggunakan kuesioner yang sebarkan kepada sample yang sudah ditentukan terlebih dahulu. Dalam penelitian ini peneliti ingin mengetahui dan mengukur sejauh mana kegunaan dan kemudahan layanan e-wallet GoPay sampai saat dilakukannya penelitian ini. Hasil pengujian pada uji validitas semua instrumen penelitian menyatakan rhitung lebih besar dari nilai rtabel maka dapat disimpulkan bahwa penelitian ini dapat dilanjutkan. Dimana nilai rtabel didapat dari : pengujian validitas terlebih dahulu ditentukan taraf nyata (α) yaitu 5% atau 0,05 dan statistik uji yang digunakan adalah (rho-Spearman), Nilai kritis = nilai tabel dimana n = 93. rtabel = rα;(n-2) = r0,05;(91) = 0,206. Berdasarkan hasil penelitan bahwa secara umum pengguna kualitas e-wallet GoPay belum merasa puas terhadap kualitas aplikasi yang ada saat ini, dapat dilihat bahwa nilai pada kolom tersebut dominan bernilai negative (seperti Dengan E-wallet Go-Pay membantu meningkatkan produktivitas saya dengan skor kepuasan -0,1075, Secara umum E-wallet Go-Pay berguna untuk saya dengan skor kepuasan -0,0323). Kata Kunci: Layanan E-Wallet, Model TAM, IPA Abstract: With the development of today's information technology that forces all levels of society to follow it, including digital wallet users or in today's terms it is called e-wallet. E-wallet is a type of electronic payment. In Indonesia, there are so many e-wallet products, issued by banks and the private sector in the form of an application. An application that is accepted by the community can be seen in terms of its usefulness and convenience. Testing the usability and ease of application can be done by using the Technology Acceptance Model (TAM) and Importance Performance Analysis (IPA) approaches by using a questionnaire that is distributed to a predetermined sample. In this study, the researcher wanted to know and measure the usefulness and convenience of GoPay's e-wallet service until the time of this research. The test results on the validity of all research instruments state that rcount is greater than the value of rtable, so it can be concluded that this research can be continued. Where the rtable value is obtained from: the validity test is first determined by the significance level (α) which is 5% or 0.05 and the test statistic used is (rho-Spearman), critical value = table value where n = 93. rtable = rα;( n-2) = r0.05;(91) = 0.206. Based on research results that in general GoPay e-wallet quality users are not satisfied with the quality of the current application, it can be seen that the value in this column is dominantly negative (such as Go-Pay E-wallet helps increase my productivity with a satisfaction score of - 0.1075, In general Go-Pay E-wallet is useful for me with a satisfaction score of -0.0233). Keywords: E-Wallet Service, TAM Model, IPA

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

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

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

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%.

Analyzing Customer Satisfaction on Arthaspa Services with the C4.5 Algorithm Approach Sofian Wira Hadi; Wawan Kurniawan; Kudiantoro Widianto; Ibnu Alfarobi
Jurnal Riset Informatika Vol. 2 No. 3 (2020): June 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v2i3.73

Customer or buyer satisfaction is closely related to how a seller of services or a store serves its visitors. Good service for visitors also makes a good impression on visitors, while the opposite will cause a very bad or unfavourable impression in the eyes of customers, and may also lead to the reluctance of visitors to come back and lose the seller's opportunity to get potential buyers to become customers. This study attempts to analyze customer satisfaction with the services provided by Arthaspa outlets in Grand Kemang hotels using the C4.5 Algorithm approach. The attributes used are comfort, cleanliness, tidiness, and price. samples taken are customers who have transacted at least once.

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 Fajar Utomo, Waskito Faruq Aziz Fazriah, Rahmah Fety Febriyanti Hamdun Sulaiman Harmono, Feri Prasetyo Haryani Haryani Heri Agustian Ibnu Alfarobi Irmawati Irmawati Irmawati Irmawati Irmawati Khofiyatun Nida Taufik Kukuh Panggalih 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 Putra, Citra Permana Rismaniah Rismaniah Rizal, Khairul Samudi 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

Title

Found 38 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 38 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 38 Documents
Search