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All Journal International Journal of Electrical and Computer Engineering Perfecting a Video Game with Game Metrics Jurnal Informatika INFOKAM Jurnal Inspiration Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer International Journal of Artificial Intelligence Research SISFOTENIKA INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi RESEARCH : Computer, Information System & Technology Management DOUBLECLICK: Journal of Computer and Information Technology JurTI (JURNAL TEKNOLOGI INFORMASI) Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURTEKSI Jurnal Riset Informatika EKUITAS (Jurnal Ekonomi dan Keuangan) Informasi Interaktif CCIT (Creative Communication and Innovative Technology) Journal JMAI (Jurnal Multimedia & Artificial Intelligence) METIK JURNAL SENSITEK Infotekmesin Jurnal Manajemen Informatika dan Sistem Informasi Journal of Information Systems and Informatics KURVATEK Jurnal Tecnoscienza Generation Journal Indonesian Journal of Electrical Engineering and Computer Science Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) International Journal of Computer and Information System (IJCIS) JTECS : Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi EXPLORE
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Sentiments analysis of customer satisfaction in public services using K-nearest neighbors algorithm and natural language processing approach Elik Hari Muktafin; Pramono Pramono; Kusrini Kusrini
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 1: February 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i1.17417

Abstract

Customer satisfaction is very important for public service providers, customer satisfaction can be delivered with a survey application or writing criticism that can be used to evaluate and improve service. Unfortunately, there are only a few customers who are willing to give an assessment. The survey application cannot represent the overall feeling of the customer, so it is necessary to analyze the content of the conversation between the customer and the service personnel to determine the level of customer satisfaction. In small amounts, it can be done manually, but in large quantities it is more effective to use the system. A solution is needed in the form of a system that converts voice conversations into text and analyzes customer satisfaction to obtain information for evaluation and improvement of services. This research uses K-nearest neighbors (KNN) and term frequency-inverse document frequency (TF-IDF) algorithm with natural language processing (NLP) approach to classify conversations into 2 classes, "satisfied" and " dissatisfied ". The results of this study received 74.00% accuracy, 76.00% precision and 73.08% recall. In conversations with the label "satisfied" shows customers satisfied with the service and fulfillment of customer desires, while in conversations with the label "not satisfied" customers are less satisfied with the waiting time.
Decision Support System Design Structural Promotion Civil Apparatus Using AHP and TOPSIS Methods Muhamad Yusuf; Kusrini Kusrini; Agung Budi Prasetio
CCIT (Creative Communication and Innovative Technology) Journal Vol 14 No 2 (2021): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (989.078 KB) | DOI: 10.33050/ccit.v14i2.1396

Abstract

The quality of the performance of the State Civil Apparatus (ASN) is a very important resource to be able to determine the capacity of the Regional Apparatus Organization (OPD). One of the efforts to improve the quality of OPD performance is the promotion of positions. Promotion of an award given for work performance and dedication of a civil servant, as well as being excited to improve work performance and loyalty. Therefore, it is necessary to determine a promotion. The weighting method in this study uses the Analytical Hirarchy Process. This study also compares this method with the Technique for Ordering Preference based on Similarities with Ideal Solutions. The resulting criteria are formal and informal. Consists of formal sub-criteria consisting of formal education, position experience, class rank, technical competence, managerial competence and socio-cultural competence. Then for the informal sub-criteria consisting of discipline, innovation, creativity, ideas for institutional functions, the ability to collaborate and work in teams, loyalty, responsibility, leadership, ability to communicate well and recommendations at the provincial and / or ministerial level. Furthermore, calculations are carried out using the AHP and TOPSIS methods for data for 2018 which means 1 position, in 2019 means 2 positions, and in 2020 means 4 positions. In one position consists of 3 ASN alternatives. After comparing the accuracy level of the AHP and TOPSIS methods with experts, the results of the AHP method are better in making recommendations for structural promotion of echelon IV ASN by producing a perfect score of 100% and a TOPSIS value of 71.4%.
ANALISIS FAKTOR INTENSI KEWIRAUSAHAAN TENAGA KERJA WANITA PURNA GUNUNG KIDUL UNTUK KEMANDIRIAN Kusuma Chandra Kirana; Kusrini Kusrini; M. Idris Purwanto
EKUITAS (Jurnal Ekonomi dan Keuangan) Vol 1 No 3 (2017)
Publisher : Sekolah Tinggi Ilmu Ekonomi Indonesia (STIESIA) Surabaya(STIESIA) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (0.057 KB) | DOI: 10.24034/j25485024.y2017.v1.i3.2404

Abstract

Penelitian bertujuan untuk, menganalisis pengaruh kepribadian, lingkungan dan demografi para TKW purna di Kabupaten Gunug Kidul Yogyakarta, dengan mengetahui besarnya pengaruh dari variabel yang diteliti, diharapkan dapat memberikan saran yang tepat untuk membantu mengentaskan kemiskinan di Gunung Kidul Yogyakarta. Metode dalam penelitian ini menggunakan metode sampling. Penelitian ini merupakan penelitian kuantitatif, sampel diambil dari populasi subyek penelitian yang ada. Sumber data yang digunakan dalam penelitian ini adalah data primer dan data sekunder yang sifatnya sebagai pelengkap. Subyek penelitian dalam penelitian ini adalah mantan TKW di Kabupaten Gunung Kidul Yogyakarta. Teknik pengambilan data dilakukan dengan melalui kuesioner, wawancara dan dokumentasi. Hasil dari penelitian ini yaitu, terdapat korelasi parsial dari variabel  kepribadian, lingkungan dan demografi  terhadap Intensi kewirausahaan TKW purna, diantara ketiga varibel, lingkungan memiliki pengaruh yang paling kuat terhadap intensi.  Secara simultan menunjukkan adanya korelasi dari variabel  kepribadian, lingkungan dan demografi terhadap intensi kewirausahaan  TKW purna di Gunung Kidul. Kontribusi dari ketiga variabel terhadap intensi sebesar 23,3%, sedang sisanya dipengaruhi oleh variabel lain. Pengujian hipotesis simultan me- nunjukkan bahwa variabel lingkungan, variabel kepribadian, dan variabel demografi secara bersama-sama berpengaruh  terhadap intensi kewirausahaan TKW purna di Gunung Kidul.
ANALISIS KUALITAS LAYANAN E-COMMERCE MENGGUNAKAN METODE ZONE OF TOLERANCE Siti Fatonah; Kusrini Kusrini; Asro Nasiri
Informasi Interaktif Vol 3, No 3 (2018): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (342.57 KB)

Abstract

The quality of e-commerce website services must be considered because it affects the number of users who access the website and decide to buy on an e-commerce website. Shopee is one of the fast-growing e-commerce websites in Indonesia, YLKI received 101 complaints in online shopping including among them complaints from Shopee consumers. The purpose of this study is to analyze the quality of e-commerce website services based on the user's point of view and know the attributes that affect customer satisfaction on service quality based on E-Servqual dimensions, namely efficiency, availability, fulfillment, privacy, responsiveness, compensation and contacts using Zone of Tolerance methods. Data obtained from questionnaires using purposive sampling technique with the number of respondents as many as 100 respondents, then the results of the questionnaire were analyzed using the ZOT method to find out the quality of acceptable minimal services. The results of this study indicate that customers are not satisfied with the quality of service provided with priority improvements to the attributes of Shopee parties willing to bear all shipping costs in the event of a mechanism to replace goods due to Shopee's fault.   Keywords: service quality, e-servqual, ZOT.
EVALUASI TINGKAT PENERIMAAN SISTEM INFORMASI YUDISIUM MENGGUNAKAN METODE TAM Sri Handayani; Kusrini Kusrini; M. Rudyanto Arief
Informasi Interaktif Vol 2, No 2 (2017): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (706.081 KB)

Abstract

This study aims to determine the level of acceptance of judicial Information system at the Bureau of Academic Administration and Student Affairs Muhammadiyah University of Bengkulu. Population in this research are employees of BAAK, Staff of Department, Head Of Departement and students who interact directly with the judicial information system Samples taken as many as 68 respondents using slovin techniques with employee details of 28 people and 40 students. This research was conducted by using Technology Acceptance Model method by distributing questionnaire, with the number of samples were 68 respondents. Data analysis technique is done by using SEM technique and Partial Least Square (PLS) approach. The results showed that the variable Perceived Complexity Using the System positively influenced Attitude Toward Using the System and Behavioral Intention to Use the System. This variable can affect the user acceptance rate of 49.9%. Based on the results of the research, the Administrative Bureau of Academic and Student Affairs (BAAK) and Integrated Service Unit of Computer Information Technology (UPT TIK) of Muhammadiyah University of Bengkulu should improve aspects of Perceived Complexity Using the System, to increase the acceptance level of the judicium information system. Keywords: TAM Method, Evaluation of acceptance level of Yudicium Information System, SIAKAD UMB
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PEMILIHAN JURUSAN PADA UNIVERSITAS DENGAN MENGGUNAKAN METODE NAÏVE BAYES Devina Ninosari; Kusrini Kusrini; M. Rudiyanto Arief
Informasi Interaktif Vol 3, No 3 (2018): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (317.836 KB)

Abstract

In general, prospective new students are confused in choosing a department that suits the needs and abilities of the academic. Typically, the selection of majors is often chosen because the favorite departmental factors are mixed with prospective students' goals, costs and also not tested in the opinion so that later consequences will be found in the new student candidates because of wrong in choosing the majors are Stop college, Droup Out and leave and move majors. To facilitate the process of choosing the right majors and in accordance with the ability of prospective new students in choosing the department then the researcher will make the Decision Support System Support System Selection by using the Naïve Bayes Algorithm to find out new student candidates to be obtained the probability is accepted and not accepted. classify and acceptable and unacceptable decisions.From the results of calculations with naïve bayes algorithm for data samples 2016/2017 obtained 3 students. 1 in D3MI and 2 major in Inforatika Engineering and 7 people not accepted. After obtained the result of calculation by using 10 sample data hence the next researcher doing process accuracy level obtained in this research there is accuracy value equal to 70%.  Keywords: sistem Pendukung Keputusan, Pemilihan Jurusan, calon mhasiswa baru, Naïve Bayes.
PERENCANAAN DAN PENGEMBANGAN ARSITEKTUR PELAYANAN INFORMASI ALUMNI PADA UNIVERSITAS YAPIS PAPUA - JAYAPURA Riandi Widiantoro; Kusrini Kusrini; Sudarmawan Sudarmawan
Informasi Interaktif Vol 3, No 2 (2018): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (426.776 KB)

Abstract

The importance of the role of technology and information systems within the organization to support business activities so as to provide services in accordance with organizational goals, IKA Uniyap is an alumni development organization of Yapis University of Papua, in carrying out its role of IKA Uniyap has not fully utilized the information system.The togaf framework is a method that is able to design and manage technology architecture and information system so that it can describe a good architectural model and can be used by the organization to achieve the goal.The discussion in this research is making documentation of technology architecture planning and information system of alumni service of Yapis University of Papua using togaf framework, with result of discussion that is scope of business process covering 2 main activity and supporting, defining architectural principles and vision, mapping business strategy solution, defining current business conditions and proposed target business architecture, information systems architecture and technology architecture. Keyword: Arsitektur bisnis, Arsitektur sistem informasi, arsitektur teknologi, TOGAF ADM
KLASIFIKASI JENIS REMPAH-REMPAH BERDASARKAN FITUR WARNA RGB DAN TEKSTUR MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR Kaharruddin Kaharruddin; Kusrini Kusrini; Emha Taufiq Luthfi
Informasi Interaktif Vol 4, No 1 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (348.156 KB)

Abstract

 Indonesia is a country famous for its spices wealth, spices have many benefits such as cooking and can also be used as medicine, but nowadays there are many Indonesian people who cannot distinguish each type of spices especially the rhizomes that will be used due to their shape quite similar, even though the selection of the right type of spices in accordance with the needs is very important because the spices used for cooking or medicine have different taste and efficacy, therefore the use of computer technology needs to be used to facilitate and accelerate humans in conducting classifications, this research classifies spices based on RGB and Texture colors using K-Nearest Neighbor Algorithm and distance measurement using Euclidean Distance, from 30 times the test experiment gets the result that the level of truth with K = 1 is 76%, K = 3 is equal to 67% and K = 5 by 63%. From these results it is known that based on GE colors and computer textures can classify spices but with a fairly low accuracy so that further development is needed such as adding form features. Keywords: classification, spices, K-Nearest Neighbor.
The effect of Gaussian filter and data preprocessing on the classification of Punakawan puppet images with the convolutional neural network algorithm Kusrini Kusrini; Muhammad Resa Arif Yudianto; Hanif Al Fatta
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i4.pp3752-3761

Abstract

Nowadays, many algorithms are introduced, and some researchers focused their research on the utilization of convolutional neural network (CNN). CNN algorithm is equipped with various learning architectures, enabling researchers to choose the most effective architecture for classification. However, this research suggested that to increase the accuracy of the classification, preprocessing mechanism is another significant factor to be considered too. This study utilized Gaussian filter for preprocessing mechanism and VGG16 for learning architecture. The Gaussian filter was combined with different preprocessing mechanism applied on the selected dataset, and the measurement of the accuracy as the result of the utilization of the VGG16 learning architecture was acquired. The study found that the utilization of using contrast limited adaptive histogram equalization (CLAHE) + red green blue (RGB) + Gaussian filter and thresholding images showed the highest accuracy, 98.75%. Furthermore, another significant finding is that the Gaussian filter was able to increase the accuracy on RGB images, however the accuracy decreased for green channel images. Finally, the use of CLAHE for dataset preprocessing increased the accuracy dealing with the green channel images.
PERANCANGAN SISTEM PAKAR FINAL CHECK MOTOR MATIC MENGGUNAKAN METODE FORWARD CHAINING STUDI KASUS AHASS 9677 Wahit Desta Prastowo; Kusrini Kusrini; Ferry Wahyu Wibowo
Informasi Interaktif Vol 4, No 2 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (406.009 KB)

Abstract

The increasing interest of consumers towards motorcycle products, especially products from Honda, is now very high. The interest in purchasing Honda matic motorcycles that continues to increase is inversely proportional to the number of technicians and service centers, resulting in an imbalance between the AHASS 9677 service service and motorcycle users. This is indicated by the accumulation of queues reaching 30 units in a day so that consumers queue for hours even though only to ask questions to find out the damage and solutions and the estimated cost of damage to the vehicle owned. Technological advances can be used as an effort to retain customers and overcome queue problems that accumulate with one way of applying artificial intelligence by making an Expert System using the Forward Chaining method that can accept damage symptom input and provide damage analysis and solutions then provide estimated service costs.   Keywords: Expert System, Honda Matic Motor, Forward Chaining.
Co-Authors Achmad Wazirul Hidayat Adhien Kenya Estetikha Aditya Hastami Ruger Aflahah Apriliyani Agatha Deolika Agianto Syam Halim Agung Budi Prasetio Agung Budi Prasetyo Agus Susilo Nugroho Ajie Kusuma Wardhana Akrilvalerat Deainert Wierfi Alfahmi Muhammad Arif Alva Hendi Muhammad Andi Bahtiar Semma Andi Sunyoto Andi Suyoto Andris Faesal Anjar Anjani Putra Arham Rahim Arif Fajar Solikin Arik Sofan Tohir Sofan Tohir Asro Nasiri Asro Nasrini Awanda Putra Mahendra Ayu Adelina Suyono Aziz Muslim Candra Adipradana Devina Ninosari Dody Pradipta Donny Yulianto Dwi Astuti Eka Wahyu Sholeha Eko Pramono Elik Hari Muktafin Emha Taufiq Luthfi Emha Taufiq Luthfii Erwin Apriliyanto Fandli Supandi Fendy Prasetyo Nugroho Ferry Wahyu Wibowo Fiyas Mahananing Puri Friden Elefri Neno Hadryan Eddy Hanif Al Fatta Hasan, Patmawati Henderi Henderi Heri Abijono Heri Sismoro Hery Nurmawan Hery Siswanto Ibnu Masud Ichsan Wasiso Idris Idris Iin Kurniasari Irma Darmayanti Irwan Oyong Juwari Juwari Kaharruddin Kaharruddin Kaharudin Kaharudin Kanafi Kanafi Khoirun Nisa Khomsatun Khomsatun Kusuma Chandra Kirana M rudyanto Arief M. Idris Purwanto M. Rudiyanto Arief M. Rudyanto Arief M. Zainal Arifin Mahmudi Mahmudi Mansur Mansur Marwan Noor Fauzy Mei P Kurniawan Mei P. Kurniawan Mei Parwanto Kurniawan Moh. Rizal Bayu Saputro Muh Saerozi Muhamad Fatahillah Z Muhamad Yusuf Muhammad Fajrian Noor Muhammad Resa Arif Yudianto Muhammad Riandi Widiyantoro Muhammad Riza Eko S Muhammad Rudyanto Arief Mukti Ali Muqorobin Muqorobin Muslihah, Isnawati Musthofa Galih Pradana Nanang Prasetiyantara Nibras Faiq Muhammad Noor Abdul Haris Noviyanti P. Nur Hamid Sutanto Paradise Paradise Pawit Srentiyono Prabowo Budi Utomo Pramono Pramono Prasetyo, Adi Prastowo, Wahit Desta Reflan Nuari Ridlan Ahmad Rifan Ferryawan Ripto Sudiyarno Riyan Abdul Aziz Rizki Mawan Robi Wariyanto Abdullah Rudyanto Arief Saikin Sapto Pamungkas Sigit Pambudi Siti Fatonah Siti Hartinah Siti Rahayu Siti Rokhmah Sri Handayani Sri Wulandari Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudiana Sudiana Supriantara Supriantara Supriyati Supriyati Teguh Sri Pamungkas Tito Prabowo Tri Andi Tri Anggoro Tri Haryanti Tutik Maryana Umdatur Rosyidah Vera Wati Victor Saputra Ginting Wahyu Adie Saputro Yohakim Benedictus Samponu Yovita Kinanti Kumarahadi Yudha Chirstianto F Yuliana Yulita Fatma Andriani Yulius Nahak tetik Yuni Ambar S Yusuf Fadlila Rachman Zul Hisyam Zumratul Muahidin