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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Information Technology and Telematics Dinamik Sisforma: Journal of Information Systems Proceeding SENDI_U Sistemasi: Jurnal Sistem Informasi Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Teknologi Sistem Informasi dan Aplikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) SOSCIED Community Engagement and Emergence Journal (CEEJ) Jurnal Sistem Komputer dan Informatika (JSON) Aiti: Jurnal Teknologi Informasi Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Masyarakat Bestari (JPMB) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Pelita: Jurnal Pengabdian kepada Masyarakat Jurnal Informatika: Jurnal Pengembangan IT Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Kristophorus Hadiono
Universitas Stikubank
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Optimalisasi Pemanfaatan Teknologi Informasi Untuk Penginputan Data Posyandu Rina Candra Noor Santi; Felix Andreas Sutanto; Kristophorus Hadiono; Heribertus Yulianton
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol 3 No 3 (2022)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v3i3.1063

Abstract

Teknologi yang semakin pesat, ternyata menyebabkan beberapa orang belum bisa menggunakan teknologinya dengan baik. Salah satu contohnya adalah pokja Dawis Wortel di Kelurahan Kembangarum yang sampai saat ini masih menggunakan manualisasi pada saat pencatatan. Pencatatan apapun yang ada pada kelompok kerja Dawis masih secara manual, yaitu hanya dengan menggunakan pedoman catatan data-data yang ada pada buku pokja. Pencatatan ini berfungsi untuk mengetahui sejauh mana informasi tingkat kesehatan yang ada pada Dawis tersebut khususnya pencatatan posyandu. Pencatatan ini berfungsi untuk mempermudah dalam memantau tingkat kesehatan warganya terutama balita. Karena dari pencatatan yang masih manual, maka perlu diadakannya pendampingan dan pelatihan dalam pencatatan data posyandu dengan menggunakan komputer, karena dengan pencatatan dikomputer akan mempermudah petugas dalam mencari data yang lainnya serta agar pencatatan tesebut bisa tercatat dengan baik, rapi dan jelas.Target yang ingin dicapai adalah peningkatan pemanfaatan teknologi informasi bagi pokja khususnya kelompok posyandu.
Perbandingan Metode Perhitungan Jarak pada Nilai Centroid dan Pengelompokan Data Menggunakan K-Means Clustering Budi Hartono; Sri Eniyati; Kristophorus Hadiono
Jurnal Sistem Komputer dan Informatika (JSON) Vol 4, No 3 (2023): Maret 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i3.6021

Abstract

This study will observe the process of grouping data or forming clusters using K-Means clusters with three methods of measuring distances, namely Euclidean distance, Manhattan distance, and Minkowski distance. Observations are more focused on changing the centroid value and the results of grouping data, as well as the number of iterations required. Experimental data amounted to 20, 30, 40, and 50 pieces of data which were grouped into 2 groups. This research also summarizes the application of K-Means clusters which have been widely used in various fields, including Health, Education, and Disaster. The results of grouping data with the three distance measurement methods are not too much different, namely the highest difference is 2 members of the data on 50 test data. The most iterations on 40 test data use the Euclidean distance, namely 7 iterations, and the least iteration on 20 test data uses Minkowski distance i.e. 3 iterations. On the 50 test data it takes 4 iterations. The amount of test data is not directly proportional to the number of iterations needed to reach the cluster in a stable state.
ANALYSIS OF USER EXPERIENCE TESTING STMIK AKI WEBSITE USING SUPR-Q IN PERSPECTIVE HUMAN-COMPUTER INTERACTION Eko Prasetyo; Kristiawan Nugroho; Kristophorus Hadiono
SOSCIED Vol 6 No 1 (2023): SOSCIED - Juli 2023
Publisher : LPPM Politeknik Saint Paul Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jsoscied.v6i1.645

Abstract

Human-Computer Interaction (HCI) is a scientific field that studies human-computer interaction in order to design systems that satisfy user requirements and enhance the user experience (UX). HCI is very important in the development of websites because a good user experience is necessary to improve user satisfaction, efficiency, and effectiveness. The motivation behind this study is to recognize the qualities and shortcomings of the STMIK AKI site as far as client experience, as the need might have arisen to further develop client UX. From a HCI perspective, SUPR-Q is one way to use a questionnaire to measure user experience. To analyze various UX dimensions, UX testing will use Task Level Satisfaction methods like Single Ease Question (SEQ), Scenario Testing, and System Usability Scale (SUS) in addition to the SUPR-Q method. The SUPR-Q Loyalty variable had a low value, but the SEQ, SUS, and SUPR-Q methods produced results with an average grade of B, supporting the hypothesis that respondents were satisfied with their use of the STMIK AKI website. The worth got was 59.1% with Grade C and the speculation was adequate in utilizing and suggesting the STMIK AKI site page. Furthermore, in the Situation Testing strategy, the typical worth got is 57.5% with Grade C, with the speculation that the respondent or client is very able in finishing jobs or working the STMIK AKI page framework.
Analisis Layanan Sistem Informasi Akademik Unisbank Berdasarkan Kepuasan Mahasiswa dengan Pendekatan ServQual Rindu Pridiqva Azzahra; Kristophorus Hadiono
AITI Vol 19 No 2 (2022)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v19i2.137-152

Abstract

Layanan akademik di dunia pendidikan mengalami perkembangan yang signifikan dengan ditandai oleh semakin beragamnya layanan yang diberikan. Salah satunya adalah layanan sistem informasi akademik. Sebuah universitas sebagai lembaga pendidikan yang menghasilkan lulusan, harus mampu mengelola layanan sistem informasi akademik dengan baik. Tujuannya adalah agar layanan tersebut dapat memberikan kepuasan kepada mahasiswa. Untuk memahami kualitas layanan sistem informasi akademik, universitas dapat mengukur layanan yang diberikan dengan memanfaatkan metode uji layanan yang sudah ada. Data dikumpulkan menggunakan kuesioner. Data yang terkumpul kemudian diuji dengan uji reliabilitas, validitas, dan regresi linier menggunakan bahasa R. Hasil yang didapat dari proses pengujian adalah seluruh variabel dinyatakan valid dan reliabel. Hasil uji regresi linier memberikan hasil bahwa variabel kualitas layanan dan harapan berpengaruh secara simultan terhadap variabel kepuasan, sedangkan hasil pengujian secara parsial menunjukkan bahwa hanya variabel kualitas layanan yang berpengaruh terhadap variabel kepuasan.
Edukasi Pendampingan Pengolahan Data Lansia dengan Menggunakan Microsoft Excel Bagi Dawis Pokja Tomat Rina Candra Noor Santi; Sri Eniyati; Felix Andreas Sutanto; Kristophorus Hadiono
Community Engagement and Emergence Journal (CEEJ) Vol. 4 No. 2 (2023): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v4i2.3353

Abstract

Posyandu Lansia adalah pos pelayanan terpadu untuk masyarakat yang berusia lanjut disuatu wilayah. Pos pelayanan ini bertujuan untuk meningkatkan  kesehatan lansia sehingga akan terwujud masa tua yang sehat. Pengecekan rutin yang dilakukan para lansia akan meningkatkan kesehatannya. Pengecekan ini akan didata dan ditulis oleh para sukarelawan dari beberapa wilayah RT/RW dengan cara manual yang biasanya dituliskan dalam sebuah buku. Kendala atau permasalahan yang terjadi adalah seringnya para lansia lupa untuk membawa buku kesehatannya. Dari permasalahan tersebut sehingga perlu membuat data kesehatan lansia tersebut dimasukkan kedalam sebuah system yaitu Microsoft excel, dan perlu adanya edukasi tentang penggunaan komputer oleh para sukarelawan dari Pokja Dawis. Karena dengan menggunakan system komputer, untuk pelacakan data atau pencarian data akan mudah dilakukan.
PeduliLindungi Usability Evaluation Using Usability Scale (SUS) Kristophorus Hadiono; Agnes Widyaningrum; Uswatun khasanah
SISFORMA Vol 11, No 1: May 2024
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v11i1.11955

Abstract

Technology advancement is inevitable. During COVID-19 pandemic, Indonesia was like other country, the government try to protect its people and still consider on how the economy can keep running. During that situation, the PeduliLindungi application is developed and used for monitoring and recording of people's healthiness. The PeduliLindungi application was used by broad range of people's, devices, and capabilities. In order to achieved its performance, it raises a need to see the usability of the application. One of popular test on usability is by implement the SUS method. This research got 260 respondents feedback using SUS questionaire and gives results of that fall into "GOOD", "OK", and "POOR" category. The SUS score was 49.24618 which fall into "OK" category. It can be said that the PeduliLindungi application can serve its purposes.
PELATIHAN APLIKASI CANVA PADA GURU P A U D TUNAS BANGSA UNTUK MENINGKATKAN KREATIFITAS PEMBELAJARAN Supriyanto, Aji; Hadiono, Kristophorus; Widyaningrum, Agnes; Damaryanti, Rr Fitri
Intimas Vol 4 No 2 (2024)
Publisher : Fakultas Teknologi Informasi dan Industri Unisbank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/intimas.v4i2.9890

Abstract

Early Childhood Education (PAUD) is education that is very important in giving birth to a golden generation in Indonesia. The Canva application can be used for digital-based learning for PAUD because it is easy, complete, interesting, creative and innovative, and can be done online. However, there are still many PAUD teachers who have not mastered its use in learning materials. Canva training for PAUD learning aims to improve teachers' abilities in mastering the Canva application in digital learning in PAUD to make it more creative and innovative but easy and fun. PAUD Teacher Training is carried out by trying directly on a laptop with the online Canva application available by trying out various available features with adapting the material for PAUD. PAUD teachers try it on their respective laptops that are connected to the internet and are accompanied by instructor assistants to make learning activities easier and smoother. Examples are provided directly for PAUD teachers to practice to make it easier to understand the online Canva learning material. As a result, PAUD teachers can practice digital learning with Canva using dynamic, creative, innovative and interesting features for PAUD.
IMPLEMENTASI CHATBOT BERBASIS FRAMEWORK RASA UNTUK SISTEM REKOMENDASI WISATA DI SEMARANG Rosida, Adis Amatulia; Hadiono, Kristophorus
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 3 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i3.5380

Abstract

Kota Semarang merupakan salah satu destinasi wisata terkenal di Jawa Tengah. Kota ini terkenal dengan keindahan alamnya yang mempesona dan kekayaan budaya yang unik sehingga menjadikannya sebagai daya tarik utama bagi calon wisatawan. Potensi yang dimiliki kota ini akan membuat wisatawan penasaran dan mencari tahu tempat mana saja yang akan dikunjungi ketika datang ke Kota Semarang. Setiap wisatawan mempunyai karakteristik dan kebutuhan yang berbeda-beda, sehingga akan mempengaruhi tempat yang ingin dikunjunginya. Preferensi yang berbeda menyebabkan keputusan yang berbeda. Ada yang memilih berdasarkan dana yang dimiliki, ada pula yang memanfaatkan rekomendasi teman atau informasi dari internet. Memilih tempat yang tepat saat berwisata bukanlah perkara mudah, apalagi jika destinasi tersebut masih baru. Oleh karena itu, diperlukan rekomendasi tempat mana yang cocok untuk dikunjungi. Membangun chatbot  sebagai penolong wisatawan sebagai sistem pemberi rekomendasi menjadi tujuan penelitian ini. Sistem rekomendasi menggunakan chatbot berbasis Framework   RASA. Data destinasi wisata dikumpulkan dari kreator konten di media sosial (YouTube, TikTok, Instagram) yang memiliki follower (minimal) 10.000 follower. Destinasi wisata tersebut dikemas menjadi 5 kategori yang berisi 60 tempat. Hasil pengujian menunjukkan implementasi chatbot dapat memberikan rekomendasi dan informasi wisata di Semarang dengan hasil uji blackbox  sesuai yang diharapkan.  
Enhanced multi-ethnic speech recognition using pitch shifting generative adversarial networks Nugroho, Kristiawan; Hadiono, Kristophorus; Sutanto, Felix; Marutho, Dhendra; Farooq, Omar
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp2904-2911

Abstract

Research in the field of speech recognition is a challenging research area. Various approaches have been applied to build robust models. A problem faced in speech recognition research is overfitting, especially if there is insufficient data to train the model. A large enough amount of data can train the model well, resulting in high accuracy. Data augmentation is an approach often used to increase the quantity of dataset. This research uses a data augmentation approach, namely pitch shifting, to increase the quantity of speech dataset, which is then processed into spectrogram data and then classified using a generative adversarial network (GAN). Using the pitch shifting-generative adversarial network (PS-GAN) model, this research produces high accuracy performance in multi-ethnic speech recognition, namely 98.43%, better than several similar studies.
Analisis RFM dan K-Means Clustering untuk Segmentasi Pelanggan pada PT. Sanutama Bumi Arto Silamantha, Wiendha Artieka; Hadiono, Kristophorus
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 3 (2024): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i3.448

Abstract

This research aims to segment customers at PT. Sanutama Bumi Arto by applying RFM (Recency, Frequency, Monetary) analysis combined with the K-Means Clustering algorithm. RFM analysis is used to identify customer purchasing characteristics based on recency, frequency of purchases and total purchase value (monetary). Then, the K-Means algorithm is used to group customers into different segments based on the similarity of RFM characteristics. This research uses customer transaction data from PT. Sanutama Bumi Arto. The research results show that there are two customer clusters with different characteristics, namely customers with low purchasing levels and customers with high purchasing levels. Customer clusters with high purchasing levels have higher recency, frequency and monetary values compared to customer clusters with low purchasing levels. Cluster evaluation was carried out using the Silhoutte Score (0.44), WSS (972.19) and BSS (1112.73) metrics, which shows that clustering has good performance. It is hoped that the results of this research can provide valuable insight for PT. Sanutama Bumi Arto in understanding customer behavior and developing more effective marketing strategies.
Co-Authors ., Agnes Widyaningrum Agnes Widyaningrum Aminudin, Agus Antono Adhi Anwar, Muchamad Taufiq Budi Hartono Caesar, Yulius Bagus Cahyawati, Asania Fatma Damaryanti, Rr Fitri Damaryanti, Rr. Fitri Dhendra Marutho Dian Kristiawan Nugroho Dwi Agus Diartono Dwi Budi Santoso Eka Ardhianto Eko Nur Wahyudi Eko Prasetyo Farooq, Omar Felix Andreas Sutanto Felix Andreas Sutanto Firmansyah, Annas Hari Murti Heribertus Yulianton Karlina Mulya Febianti Kusuma, Aditya Chandra Laksono Trisnantoro MATOVANI, DIO Muhammad fauzan Munna, Aliyatul Ningrum, Yulika Pramesti Novita Mariana Oktaviani Risqi, Vita Rina Candra Noor Santi Rina Candra NS Rindu Pridiqva Azzahra Rosida, Adis Amatulia RR. Ella Evrita Hestiandari Silamantha, Wiendha Artieka Singh, Narinderjit Singh Sawaran Sri Eniyati Sulastri Sulastri SUTANTO, FELIX Wijaya, Mikhael Putra Wismarini, Th Dwiati