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All Journal IJID (International Journal on Informatics for Development) International Journal Software Engineering and Computer Science (IJSECS) Publikasi Pengabdian Masyarakat Komputer dan Teknologi (PUNDIMASKOT)
Sugiyono
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering

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Implementasi Sistem Informasi Pengaduan Masyarakat Pada Wilayah RW 006 Kelurahan Kalideres Jakarta Barat Berbasis Online Sugiyono; Edwin Sentosa; Adella Fitriany Cahyana; Nimas Galuh Pramuditasari; Stepanus
Publikasi Pengabdian Masyarakat Komputer dan Teknologi (PUNDIMASKOT) Vol. 1 No. 1 (2022): PUNDIMASKOT: June 2022
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1001.077 KB)

Abstract

Berdasarkan observasi yang dilakukan oleh Mahasiswa STIKOM CKI di RW 006 kampung Kojan Kelurahan Kalideres, masalah yang ditemukan diantaranya kurangnya sarana umum yang dapat di gunakan untuk melaporkan keluhan masyarakat kepada petugas RT dan Rw setempat. Penelitian ini bertujuan untuk: (1) mengembangkan sarana elektronik atau sarana umum yang dapat di gunaka di RW 006 Kampung Kojan, (2) mengetahui tingkat pelayan dan pelaporan yang akan di terima atau di berikan di daerah RW 006 Kampung Kojan.Penelitian ini merupakan penelitian pengembangan atau Research and Development (R&D) dengan menggunakan model pengembangan Four-D. Model pengembangan Four-D terdiri dari 4 tahapan, yaitu: (1) Define, (2) Design, (3) Develop, dan (4) Disseminate. Pengambilan data dilakukan menggunakan angket dengan subyek penelitian warga Rw 006 Kampung Kojan Kelurahan Kalideres dengan menggunakan Pengambilan Sampel Acak Berdasar Area atau Wilayah (Cluster Random Sampling). Instrumen yang digunakan untuk menilai kelayakan Webl meliputi lembar penilaian oleh ahli materi dan lembar penilaian berupa angket respon siswa. Hasil penelitian menunjukkan bahwa: (1) penelitian pengembangan ini menghasilkan produk berupa Web untuk mengumpulkan dan melaporkan suatu permasalahan yang terjadi di RW 006 Kampung Kojan kelurahan Kalideres, (2) Web layak digunakan setelah dilakukan pengujian kepada ahli materi dengan hasil persentase sebesar 92,85% yang diaktegorikan sangat layak dan serta uji coba kepada responden (Warga) mendapat hasil persentase sebesar 85,17% yang dikategorikan sangat layak, sehingga dapat disimpulkan bahwa secara keseluruhan Web dikatakan sangat layak digunakan sebagai alat bantu untuk membantu proses pelaporan masyarakat.
Implementasi Sistem Informasi Taman Bacaan Masyarakat Di Wilayah Kelurahan Kalideres Jakarta Barat Berbasis Online Sugiyono; Awaludin; Oktasyari; Josua Pangaribuan; Mili Ruswandi
Publikasi Pengabdian Masyarakat Komputer dan Teknologi (PUNDIMASKOT) Vol. 1 No. 1 (2022): PUNDIMASKOT: June 2022
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (784.067 KB)

Abstract

Berdasarkan observasi yang dilakukan oleh Mahasiswa STIKOM CKI di Taman bacaan masyarakat kampung kojan, masalah yang ditemukan diantaranya kurangnya buku dan alat tulis pada taman bacaan masyarakat sehingga anak-anak yg ada pada taman bacaan tersebut hanya menggunakan alat tulis seadanya untuk menampilkan hasil kreasinya. Penelitian ini bertujuan untuk. Mengembangkan pembalajaran yg ada pada taman bacaan sehingga tidak berkurang nya sarana untuk belajar anak-anak masyarakat kampung kojan, mempermudah pendonasi buku, alat tulis untuk mengetahui tingkat donasi buku sehingga lebih mudah untuk di donasi kan langsung ke taman bacaan masyarakat lazuardi. Pengambilan data dilakukan menggunakan tingkat penelitian buku yg di donasikan ke taman bacaan masyarakat lazuardi Kampung Kojan dengan menggunakan Pengambilan Sampel buku yg sudah ada pada taman bacaan masyarakat lazuardi. Instrumen yang digunakan untuk menilai kelayakan Webmeliputi lembar penilaian oleh ahli materi dan lembar penilaian berupa angket respon anak-anak. Hasil penelitian menunjukkan bahwa: penelitian pengembangan ini menghasilkan produk berupa Web untuk mengumpulkan dan menerima suatu donasi buku atau kunjungan yang ada pada taman bacaan masyarakat lazuardi, Web layak digunakan setelah dilakukan pengujian kepada ahli materi dengan hasil persentase sebesar 92,85% yang dikategorikan sangat layak.
Automatic Detection of Skin Diseases Using Convolutional Neural Network Algorithms Tundo; Fadillah Abi Prayogo; Sugiyono
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3021

Abstract

Skin diseases are a major health concern in Indone sia and they can seriously impact a patient’s quality of life. The problem is aggravated by humid tropical climate, limited access to healthcare facilities, and a lack of trained dermatology personnel. The cases in Indonesia are many, and the diagnosis and treatment of skin diseases are delayed, which makes the patient's condition worse. Based on data from the Ministry of Health (Kemenkes), the prevalence of skin disease in Indonesia is 0.62 cases per 10,000 population with the highest prevalence in Eastern Indonesia. Developing a Skin Disease Detection System Based on Convolutional Neural Network (CNN) algorithms. However, CNN algorithms are widely used in image recognition and classification, and can act as an automatic diagnostic system. This system has been developed to aid in diagnosis and improve patient access to dermatological care, especially for remote communities. Users can reach out for services at any time and any location, a practical solution for treating skin health problems. This study's results are anticipated to lower the diagnostic delays and improve the treatment outcomes while offering quick access to reliable dermatological service. This is a great effort on global level for any skin disease supporting to improve life of human lives from skin health issues.
K-Means Clustering of Social Studies Performance at Junior High School Tundo; Syifa Raihanah; Tri Wahyudi; Sugiyono
IJID (International Journal on Informatics for Development) Vol. 13 No. 2 (2024): IJID December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2024.4632

Abstract

This study aims to optimize the use of technology in evaluating student performance by grouping students based on their abilities. The main issues include the underutilization of technology, the absence of an appropriate evaluation system for different levels of student ability, and ineffective methods for grouping students. The K-Means Clustering algorithm was chosen because it has proven effective in grouping academic data in various studies. The data used includes Daily Knowledge Scores (DKS), Daily skill scores (DSS), Mid-term Summative Scores (MSS), End-of-Year Summative Scores (ESS), and Grade Report (GR). The data was analyzed using the CRISP-DM methodology with the help of RapidMiner. The results showed that 28.63% of students were classified as having excellent performance, 50.21% as having good performance, and 21.16% as having moderate performance. The Davies-Bouldin Index score of 1.713 for K=3 was considered sufficient for distinguishing the different student performance groups. The results of this study are expected to help schools provide learning support that better aligns with student needs. Future research is recommended to focus on optimizing the number of clusters (K), applying this method to other subjects, and integrating it with e-learning platforms for real-time student performance monitoring.
Co-Authors Adella Fitriany Cahyana Awaludin Edwin Sentosa Fadillah Abi Prayogo Josua Pangaribuan Mili Ruswandi Nimas Galuh Pramuditasari Oktasyari Stepanus Syifa Raihanah Tri Wahyudi Tundo, Tundo