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All Journal Indonesian Journal of Information System Journal of Information Technology and Computer Engineering IJID (International Journal on Informatics for Development) Abdimasku : Jurnal Pengabdian Masyarakat
Prastyo, Pulung Hendro
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Social Sciences

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A Systematic Literature Review of Application Development to Realize Paperless Application in Indonesia: Sectors, Platforms, Impacts, and Challenges Prastyo, Pulung Hendro; Sumi, Amin Siddiq; Kusumawardani, Sri Suning
Indonesian Journal of Information Systems Vol 2, No 2 (2020): February 2020
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (581.876 KB) | DOI: 10.24002/ijis.v2i2.3168

Abstract

Going paperless is an ideal form of the information era with the advantages of being time-efficient, environmentally friendly, proper documentation management, and it is an important step to improve the perception of the organization in the environmental field. From the environmental perspective, paperless is a concrete step to reduce the use of trees for paper. The paperless concept has been proposed by the government and has been legally guaranteed, so various sectors have begun to implement the paperless concept such as in the government, education, and industry sectors. However, there has been limited research that studies how many sectors implement paperless applications, the platforms that are used to develop paperless applications, the impacts of using paperless applications and the challenges for Indonesia. Therefore, this study aims to find out more details in the use of paperless applications in terms of sectors, platforms, impacts, and challenges for Indonesia. The data used in this study are articles of journal accredited by Sinta discussing the development of paperless applications in the government, education, and industry sectors from 2010 to 2019. The data are analyzed using the Systematic Literature Review method (SLR). The results of this study indicate that the sector that constantly develops paperless applications is the education sector, while the dominant platform used to develop paperless applications is the website. The impact of using paperless applications has a positive impact both in terms of performance, budget savings, and solving environmental problems generated by paper waste. Paperless applications are the solution in the digital era in supporting environmental preservation. The challenge is how the government makes regulations to support paperless applications in all agencies and provides financial support to sectors in which the use of paper is classified as significant but lacks funds in implementing paperless applications. Paperless applications must also be easy to use, and users must be provided continuous training so that paperless applications can be implemented easier.
A Machine Learning Framework for Improving Classification Performance on Credit Approval Prastyo, Pulung Hendro; Prasetyo, Septian Eko; Arti, Shindy
IJID (International Journal on Informatics for Development) Vol. 10 No. 1 (2021): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2021.2384

Abstract

Credit scoring is a model commonly used in the decision-making process to refuse or accept loan requests. The credit score model depends on the type of loan or credit and is complemented by various credit factors. At present, there is no accurate model for determining which creditors are eligible for loans. Therefore, an accurate and automatic model is needed to make it easier for banks to determine appropriate creditors. To address the problem, we propose a new approach using the combination of a machine learning algorithm (Naïve Bayes), Information Gain (IG), and discretization in classifying creditors. This research work employed an experimental method using the Weka application. Australian Credit Approval data was used as a dataset, which contains 690 instances of data. In this study, Information Gain is employed as a feature selection to select relevant features so that the Naïve Bayes algorithm can work optimally. The confusion matrix is used as an evaluator and 10-fold cross-validation as a validator. Based on experimental results, our proposed method could improve the classification performance, which reached the highest performance in average accuracy, precision, recall, and f-measure with the value of 86.29%, 86.33%, 86.29%, 86.30%, and 91.52%, respectively. Besides, the proposed method also obtains 91.52% of the ROC area. It indicates that our proposed method can be classified as an excellent classification.
Pembuatan Website Masjid Inayatullah di Kota Makassar Prastyo, Pulung Hendro; Ardiansyah, Ardiansyah; Amiruddin, M. Rudini Kurniawan; Saputra, Wahyuddin; Suradi, Andi Asvin Mahersatillah; Rizal, Muhammad; Santoso, Budy
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 8, No 1 (2025): JANUARI 2025
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v8i1.2832

Abstract

Masjid Inayatullah adalah salah satu Masjid yang ada di kota Makassar tepatnya di jalan Raya Pendidikan Blok G 3 No. 9. Tidung. Kec. Rappocini, Kota Makassar, Sulawesi Selatan. Menurut pengurus Masjid Inayatullah, banyak kegiatan yang diselenggarakan diantaranya setiap selesai jama’ah sholat maghrib ada kegiatan mengaji yang diikuti sejumlah anak-anak, pengajian yang dilaksanakan untuk memperingati hari besar Islam dengan mengundang ulama’ untuk memberi tausiyah dan kegiatan lainnya. Pengurus Masjid sering kesulitan dalam manajemen pengolahan data serta memerlukan waktu yang cukup lama, karena dalam melakukan pengolahan data administrasi kegiatan maupun data keuangan masih menggunakan proses manual dimana cara manual masih kurang efektif dan efisien. Untuk mengatasi masalah tersebut, dibuatlah sebuah sistem berbasis website yang dapat digunakan untuk memudahkan manejmen pengolahan data, baik yang berkaitan dengan kegiatan yang akan dilakukan maupun yang berkaitan dengan transparansi pengelolaan dana keuangan yang ada di masjid tersebut. Kegiatan ini mendapat respon yang posistif oleh pengurus masjid Inayatullah terlihat dari keterlibatan pengurus yang aktif pada sesi penjelasan terkait fitur-fitur yang disajikan dalam website tersebut dan seringkali memberikan pertanyaan dan tangapan mengenai fitur yang ditawarkan dalam website tersebut dalam mendukung kegiatan yang ada dalam Masjid Inayatullah.
Optic Cup Segmentation using U-Net Architecture on Retinal Fundus Image Prastyo, Pulung Hendro; Sumi, Amin Siddiq; Nuraini, Annis
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 02 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.02.105-109.2020

Abstract

Retinal fundus images are used by ophthalmologists to diagnose eye disease, such as glaucoma disease. The diagnosis of glaucoma is done by measuring changes in the cup-to-disc ratio. Segmenting the optic cup helps petrify ophthalmologists calculate the CDR of the retinal fundus image. This study proposed a deep learning approach using U-Net architecture to carry out segmentation task. This proposed method was evaluated on 650 color retinal fundus image. Then, U-Net was configured using 160 epochs, image input size = 128x128, Batch size = 32, optimizer = Adam, and loss function = Binary Cross Entropy. We employed the Dice Coefficient as the evaluator. Besides, the segmentation results were compared to the ground truth images. According to the experimental results, the performance of optic cup segmentation achieved 98.42% for the Dice coefficient and loss of 1,58%. These results implied that our proposed method succeeded in segmenting the optic cup on color retinal fundus images.
A Cardiotocographic Classification using Feature Selection: A comparative Study Prasetyo, Septian Eko; Prastyo, Pulung Hendro; Arti, Shindy
JITCE (Journal of Information Technology and Computer Engineering) Vol. 5 No. 01 (2021)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.5.01.25-32.2021

Abstract

Cardiotocography is a series of inspections to determine the health of the fetus in pregnancy. The inspection process is carried out by recording the baby's heart rate information whether in a healthy condition or contrarily. In addition, uterine contractions are also used to determine the health condition of the fetus. Fetal health is classified into 3 conditions namely normal, suspect, and pathological. This paper was performed to compare a classification algorithm for diagnosing the result of the cardiotocographic inspection. An experimental scheme is performed using feature selection and not using it. CFS Subset Evaluation, Info Gain, and Chi-Square are used to select the best feature which correlated to each other. The data set was obtained from the UCI Machine Learning repository available freely. To find out the performance of the classification algorithm, this study uses an evaluation matrix of precision, Recall, F-Measure, MCC, ROC, PRC, and Accuracy. The results showed that all algorithms can provide fairly good classification. However, the combination of the Random Forest algorithm and the Info Gain Feature Selection gives the best results with an accuracy of 93.74%.
Co-Authors Amiruddin, M. Rudini Kurniawan Andi Asvin Mahersatillah Suradi ARDIANSYAH ARDIANSYAH Arti, Shindy Budy Santoso MUHAMMAD RIZAL Nuraini, Annis Prasetyo, Septian Eko Saputra, Wahyuddin Sri Suning Kusumawardani Sumi, Amin Siddiq