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Eko Sediyono

Universitas Kristen Satya Wacana

Author-ID : 258660

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Analisa Tingkat Usability Berdasarkan Human Computer Interaction Untuk Sistem Pemesanan Tiket Online Kereta Api Christanto, Henoch Juli; Sediyono, Eko
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol10iss2pp163-172

The Current technological developments make PT.Â KAI (Kereta Api Indonesia) as a business entity that regulates and provides rail transportation services has been transformed into providing online ticket reservation services, one of which is through the KAI Access application.Â But it needs to be realized that the marketplace trend has also penetrated travel deals that also provide train ticket reservations, one of which is Traveloka. This interesting phenomenon is the basis for conducting research to see whether the application owned by PT KAI has been able to compete with other applications that also provide online train ticket sales services. By being able to compete, PT KAI can show credibility in providing online ticket transactions. Both applications are tested using the Usability indicators from HCI: Learnability, Efficiency, Memorability, Errors, and Satisfaction.Â This study resulted in a comparison of the two applications by each HCI indicator. The discussion on each indicator it can be seen the classification of the level of usefulness from KAI Access and Traveloka

Identifikasi Citra Untuk Mengidentifikasi Jenis Daging Sapi Menggunakan Transformasi Wavelet Haar Kiswanto Kiswanto; Eko Sediyono; Suhartono Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 2 (2011): Volume 1 Nomor 2 Tahun 2011
Publisher : Universitas Diponegoro

In this research, conducted research on the identification of the image to identify the type of ground beef using the Haar wavelet transform. The study was intended To check the performance of Haar wavelet in identifying the types of beef. The process of image processing is done by calculating the value of R, G and B in each image of the meat, then do the normalization process to get the index value of R, G and the index B index and do the conversion from RGB to a model of HSI models to get the magnitude of the hue, saturation and intensity. The resulting value of the image processing used as input parameter verification program. The highest accuracy produced by the Haar wavelet is 80% on the kind of fresh beef, fresh frozen beef, beef rotten, rotten dried beef, while the lowest accuracy was 0% for frozen beef rotten.Keywords: Identification; Haar Wavelet Transformation

Vulnerability Assessment Website E-Government dengan NIST SP 800-115 dan OWASP Menggunakan Web Vulnerability Scanner Esti Zakia Darojat; Eko Sediyono; Irwan Sembiring
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 1 (2022): Volume 12 Nomor 1 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss1pp36-44

E-Government is one of the local government's means of implementing service-oriented values and public information disclosure by providing the local government's official website. Vulnerability Assessment (VA) is a vulnerability assessment method by testing security vulnerabilities to find out all potential critical weaknesses of e-government websites, the aims is to support convenience and service improvement when using e-government websites. The method is using descriptive quantitative to analyze and evaluate security level of both e-government websites based on the NIST SP 800-115 method regarding technical guidelines for testing and assessing information security parameters and OWASP using two web vulnerability scanners. This study is to analyze and evaluate the results of vulnerability scanning on two different types of e-government web, namely the e-government web belonging to the local government and village government, the sample assessment using the semarangkab.go.id website belonging to the local government of Semarang Regency, Central Java Province. and gunungtumpeng.id which is the official e-government website owned by the Gunung Tumpeng Village Government, Suruh District, Semarang Regency, Central Java Province, Indonesia. Hasil penelitian menunjukkan ditemukan persamaan penilaian dalam hal kategori level ancaman dan jumlah kerentanan menggunakan kedua alat web vulnerability scanner, dan hasil yang berbeda terdapat pada durasi, kecepatan pemindaian, dan jenis temuan kerentanan. Kedua parameter OWASP dapat memberikan petunjuk dan penjelasan kompleks untuk membantu pengembang atau pihak pemerintah daerah melakukan pengambilan keputusan mengenai keamanan informasi pada web e-government yang dikelola.

Analisis Faktor E-Learning Readiness dengan Menggunakan Principal Component Analysis Nuzhah Al Waaidhoh; Eko Sediyono; Kristoko Dwi Hartomo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020
Publisher : Universitas Diponegoro

Technological innovation in the industrial revolution era of 4.0 has changed the concept of learning. For example, the e-learning enables students to learn any where and any time without the limitations of distance, space and time. E-learning brings transformation in the world of education by enabling students to access information, data and learning material in more effective and efficient ways. With some of the benefit soffered by e-learning, many organizations want to apply e-learning system. Implementation of e-learning started with assessing thee-learning readiness. There are many factors found by researchers in the process of assessing e-learning readiness. This study aims to reduce the number of e-learning readiness variabels and to identify the factors that most affect the level of e-learning readiness by using the PCA (Principal Component Analysis) method, so it can help organizations that will implement e-learning to prepare important things in the process of implementation e-learning system. The results obtained show that the three factors that most affect there a diness of implementation e-learning are organization, technology and human resources.

Evaluasi Kebergunaan (Usability) dan Rekomendasi Penggunaan Google Classroom untuk Blended Learning di Perguruan Tinggi Agus Priyadi; Eko Sediyono; Hindriyanto Dwi Purnomo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 11, No 2 (2021): Volume 11 Nomor 2 Tahun 2021
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol11iss2pp105-116

The google classroom application is a virtual classroom mixed with real classes in education where the distribution of material and lecture assignments can be done by teachers and students without using paper or paperless. Interaction between teachers and students is done interactively online. The use of the google classroom application as a teaching tool has only been implemented at XYZ college, so usability testing is needed in the use of google classroom. Testing the usability level of Google Classroom is really needed to evaluate and get recommendations about using the Google Classroom application. The method used in this study is the USE (Usefullness, Satisfaction and Ease of Use) Questionnaire and Cognitive Walkthrough (CW) used in the google classroom usability test. USE stands for Usefulness, Satisfaction, and Ease of Use. Ease of use factors can be divided into two, namely Ease of Learning and Ease of Use. The USE test involved all XYZ college students, totaling 213 respondents. Ten respondents within certain criteria were selected by purposive sampling technique to test the usefulness of using the cognitive walkthrough (CW) method. The overall assessment of the usefulness factor with a mean value of 3.95 is included in the "Good" rating range. Overall, the satisfaction factor value of 4.01 is included in the "Good" rating range. Overall, the assessment of the Ease of use indicator with a mean of 4.22 is included in the "Good" rating range. The cognitive walkthrough (CW) method produces several recommendations that can be utilized by XYZ universities in implementing blended learning using google classroom. The usability factor with various features offered by Google Classroom is quite high because it can provide convenience in its use to support lecture activities at XYZ College

Kombinasi Modified K-Nearest Neighbor dan Certainty Factor untuk Peningkatan Akurasi Diagnosis Malnutrisi Zati, Hulwani; Eko, Sediyono; Bayu, Surarso
Jurnal Sistem Informasi Bisnis Vol 14, No 3 (2024): Volume 14 Nomor 3 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss3pp289-301

Malnutrition remains a major public health challenge in low and middle-income countries. This research proposes a method for diagnosing malnutrition diseases by combining Certainty Factor (CF) and Modified K-Nearest Neighbor (MKNN). CF is used to obtain certainty values from the symptoms experienced by patients, while MKNN classifies patient symptom data into specific disease classes based on proximity to the training data. The symptom CF values are combined with the rule CFs to obtain the final CF for each disease. The patient's CF data becomes the testing data, while the disease dataset is the training data. The MKNN technique involves calculating the Euclidean distance, validity, and applying weight voting to identify the class to which the testing data belongs based on the majority class of the k nearest training data. In the test case, CF indicated a tendency towards Kwashiorkor, reinforced by MKNN with the majority of the nearest training data classified as Kwashiorkor. Cross-validation testing with 20 testing data resulted in an accuracy of 95% for the combined CF-MKNN method. The combination of the two methods mutually reinforces and increases the confidence in the diagnosis.

Evaluasi Kepuasan Pengguna Website Menggunakan Framework PIECES: Studi Pada Pemerintah Kabupaten Maluku Barat Daya Malioy, Rimes Jopmorestho; Sediyono, Eko; Maria, Evi
Jurnal Sistem Informasi Bisnis Vol 14, No 2 (2024): Volume 14 Nomor 2 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss2pp171-180

This research aims to evaluate the local government website of Southwest Maluku Regency using the PIECES framework, to determine the level of user satisfaction. The method used in this research is quantitative descriptive. The questionnaire was distributed to the public and State Civil Apparatus (ASN) who are users of the regional government website. The total sample for this research was 150 respondents. Measurements were carried out using a Likert scale. The research results found that users were very satisfied with the information & data presented on the local government website. In terms of performance, economics, control & security, users feel satisfied when using the website. In terms of service, users are very satisfied if the website is developed and improved further. Meanwhile, in terms of efficiency, users want additional website features, namely the online complaint feature. Overall, the average user satisfaction level is 3.99 in the satisfied category. Additional testing using PageSpeed Insight and Qualys found that the government website's performance was still low, with a score of 76. Meanwhile, in terms of security, additional testing found that the website was very good with an A+ score. The results of this research become evaluation material for website managers, namely the Southwest Maluku Regency Communication and Information Service, to make improvements to the website from several aspects that have been assessed, to increase the level of user satisfaction.

Co-Authors Ade Iriani Adenia Kusuma Dayanthi Adi Setiawan Adi Setiawan Adian Fatchurrohim Adila Safitri Adiyono, Soni Agus Priyadi Agus Subhan Akbar, Agus Subhan Agustinus Raharjo Ahmad Nuzulia Rahman Ahmad Zamsuri, Ahmad Aldian Umbu Tamu Ama Aldri Frinaldi Alvianto, Muhammad Nur Hendra Anak Agung Gede Sugianthara Andi Kristanto Andika, Awan Pijar Andry Ananda Putra Tanggu Mara Andry Tanggu Mara Angela Atik Setiyanti Anna Simatauw Anthony Anthony Antonius Oko Pranoto Anwar S Ardjo Anwar S. Ardjo Anwar S. Ardjo, Anwar S. April Lia Hananto Ardaneswari, Awanda Ardjo, Anwar S Arief Andriono Arief Andriono, Arief Ariel Kristianto Aries Dwi Indriyanti, Aries Dwi Arif Darmawan Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Aris Puji Widodo Atik Mawarni Aulia Oktaviana Avin Wimar Budyastomo Aviv Yuniar Rahman Awanda Ardaneswari Batawi, Rymond N. Bayu Surarso Brian Laurensz Brilliananta Radix Dewana Budhi Kristianto Cahya Tri Purnami Cahyaningtyas, Christian Catur Edi Widodo Chrisanty Mariana Rorimpandey Christanto, Henoch Juli Christian Lilik HS Nivak Dahur, Arnoldus Janssen Damayanti, Elok Daniel HF Manongga Daniel Riano Kaparang Danny Manongga Danny Sebastian David Setia Darmawan Defitroh Chen Sami'un Devianto, Yudo Dewana, Brilliananta Radix Dharmaputra Palekahelu Dian Puspitadewi Kristyaningtyas Dinda Ayu Aprilia Dio Febrilian Tanjung Doni Wiryadinata Dwi Adityas Rarasati Dwi Mustika Kusumawardani, Dwi Mustika Dwi Setiawan Edna Maria, Edna Edwanda Arisandy Eko Nur Hermansyah Esti Zakia Darojat Evi Maria Faidul Jihad, Fikri Faqih, Haikal Farid Farid Agushybana Feibe Lawalata Ferdian Aditya Pratama Fian Yulio Santoso Fikri Faidul Jihad Fikri Faidul Jihad Firdaus Dwi Prasetyo Firdaus Dwi Prasetyo, Firdaus Dwi Fitra Nur Asri, Muh Florentina Tatrin Kurniati Gatot Sasongko Gilang Muhamad Noer Gregorius Anung Hanindito Gudiato, Candra Haidar Shiddiqramzy Haikal Haikal Haikal Haikal Haikal Nur Rachmanrachim Achaqie Haikal Nur Rachmanrachim Achaqie Hakim, M. Iman Nur Hanif Prasetyo bhakti Adi Nugroho Hany Makaruku, Yulian haryo kusumo Hendry Hertanto Mulianto Hery Santono Hetharie, Renee Yosua Hindriyanto Dwi Purnomo Huda, Baenil Humami, Faris Ilham Akbar Sodik Illyin Almeito Imaniar Sevtiyani Irwan Sembiring Iwan Setyawan Januar Agung Wicaksono Jemaictry Tamaela Johan Jimmy Carter Tambotoh Julce Adiana Sidette, Julce Adiana Jutono Gondohanindijo Juwita Artanti Kusumaningtyas Kartika Imam Santoso Kevin Mikhail Tulenan Kiswanto Kiswanto Kristoko Dwi Hartomo Kristyaningtyas, Dian P. Kuncoro, Wreda Agung Kusumaningtyas, Juwita Artanti Laksamana Rajendra Haidar Latupeirissa, Ariyanto Lawalata, Feibe Lawang, Robert M.Z. Leo Candra Gunawan Wicaksono Leonardo Refialy Leonardo Refialy, Leonardo Lestari, Merrryana Lili Rusdiana, Lili M., Maria Magdalena Maipauw, Musa Marsel Malioy, Rimes Jopmorestho Manongga, Daniel HF Maria Magdalena Martini Martini Martza Merry Swastikasari MARWATA, MARWATA Matheus Supriyanto Rumetna Mayestika, Anastasia Kezia Beatrix Melissa Modok Merryana Lestari Michael Elyas Ernawan Moh. Hasyimi Muay, Nikson Theys Muhammad Ikhsan Muhammad Nur Hendra Alvianto N.A. Miftahul Huda N.A. Miftahul Huda, N.A. Miftahul Nabiel Putra Adam Nabiel Putra Adam, Nabiel Putra Ni’mah Akbar Habibie Nofiyati Nofiyati, Nofiyati Nurjazuli Nurjazuli Nurjazuli Nuzhah Al Waaidhoh Oky Dwi Nurhayati Onesimus Joumaran Usior P Purwanto P, Sri Yulianto Joko Panja, Eben Paryono, Tukino Penison Wenda Perdana, Adam Bagus Ponco Yuniarto Pranoto, Antonius Oko Pratama, Ferdian Aditya Pratindy, Raka Prisilia Talakua Priyadi Priyadi Purnama Harahap, Eka Pusaka, Semerdanta Putri Gloria Qurotul Aini Rachardian, Seprima Raden Mohamad Herdian Bhakti Rahmat Gernowo Rahmatika, Yuni Ramanda, Febri Renee Yosua Hetharie Reni Murnita Retno Setya Anggraeni Richi Eka Yanti Rohmad Abidin Romadhon, Zainur Romauli Basaria Romy Aziz Risaldi Ronny Julians, Adhe Roy Rudolf Huizen Ryo Pambudi Saian, Septovan Dwi Suputra Santoso, Fian Yulio Santoso, Nuke Puji Lestari Satriyo Satriyo Sausan Hidayah Nova Sekarlangit Sekarlangit Septovan Dwi Suputra Saian Setiawan, Santo Sholikin, Muhammad Siti Shofiah Slamet Widodo Sodik, Ilham Akbar Solly Aryza Sri Achadi Nugraheni Sri Ngudi Wahyuni, Sri Ngudi Sri Yulianto Sri Yulianto Joko P Sri Yulianto Joko Prasetyo Stephen Aprius Sutresno, Stephen Aprius Suci Larasati Suhartono Suhartono Suharyadi Surarso Bayu Susanti, Novita Dewi Swastikasari, Martza Merry Talakua, Prisilia Tamaela, Jemaictry Teguh Wahyono Theo Pradikta Theofani, Gracia Tintien Koerniawati Tirsa Ninia Lina Tjokra, Cindy Vanesya Tri Wahyuningsih Trisna Wonda Trisna Wonda, Trisna Tulenan, Kevin Mikhail Tundjung Mahatma Umbu Tamu Ama, Aldian Untung Rahardja Viera Juniver Thenu Vina Chovan Epifania Wardoyono, Hengky Widi, Anugerah Yakobus Kevin Dean Prasetyo Yayi Suryo Prabandari Yerik Afrianto Singgalen Yessica Nataliani Yonathan Saputra Yulian Hany Makaruku Yuliarman Saragih Zainal Arifin Hasibuan Zati Hulwani Zati, Hulwani Zukhruf, Afriza Meigi

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