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All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Seminar Nasional Informatika (SEMNASIF) Proceeding SENDI_U Jurnal Sisfokom (Sistem Informasi dan Komputer) IKRA-ITH ABDIMAS Idealis : Indonesia Journal Information System JIKI (Jurnal Ilmu Komputer dan Informatika) Kresna: Jurnal Riset dan Pengabdian Masyarakat Jurnal Mahasiswa Ilmu Komputer OKTAL : Jurnal Ilmu Komputer dan Sains Prosiding Seminar Nasional Unimus Jurnal Pengabdian Masyarakat Tekno Jurnal Pintar Pengabdian dan Pemberdayaan Masyarakat
Lis Suryadi, Lis
Universitas Budi Luhur
Agriculture, Biological Sciences & Forestry Humanities Astronomy Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Public Health Social Sciences

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Prediction of Graduation for Students at the ISB Atma Luhur Faculty of Information Technology Using the C4.5 Algorithm Putri, Ine Widyaningrum Mustama; Rusdah, Rusdah; Suryadi, Lis; Anubhakti, Dian
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 12 No. 3 (2023): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v12i3.1731

Abstract

Higher Education is a level of education after secondary education which includes diploma programs, undergraduate programs, master programs, doctoral programs, professional programs, and specialist programs organized based on the culture of the Indonesian nation. Student graduation is one of the important factors to improve university accreditation. Students who graduate above 5 years and the number of students who drop out are important indicators in determining accreditation which then causes the difficulty of accrediting a college to rise. This research aims as an early warning for students who graduate on time and graduate late from the Faculty of Information Technology, Institute of Science and Business Atma Luhur using the C4.5 decision tree algorithm by implementing the Cross-Industry Standard Process for Data Mining (CRISP- DM) method. The initial data of this research amounted to 1,015 which was taken through a query in the database of the Atma Luhur Institute of Science and Business. However, the data that will be used becomes 694 after preprocessing due to the large number of record contents that do not have a graduation year, with a total of 641 graduates graduating on time and 53 graduates graduating late. Based on the application of the model using the C4.5 decision tree algorithm and the Confusion Matrix method, the accuracy is 93.94%, Recall is 98.59%, and Precision is 95.03%. So it can be concluded that the C4.5 decision tree algorithm is the most effective algorithm for predicting student graduation, because it has a high level of accuracy.
PEMBERDAYAAN MASYARAKAT MELALUI PELATIHAN E-COMMERCE UNTUK MENUMBUHKAN JIWA ENTERPRENEUR PADA KOMUNITAS PENCINTA IKAN HIAS Hamdani, Agus Umar; Suryadi, Lis; Indra, Indra; Triyono, Gandung
Jurnal Pintar Abdimas Vol 1 No 1 (2021): VOLUME 1 NOMOR 1 NOVEMBER 2021
Publisher : Lembaga Pengabdian Masyarakat Universitas Swadaya Gunung Jati

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Abstract

Most of the residents in the RT run the Micro, Small and Medium Business Units (UMKM). Although some business actors have used information technology tools to support their business, they are only limited to posting products via Facebook, Twitter, Instagram and WhatsApp. Residents do not understand how to sell and market products using information technology tools. In addition, product sales turnover tends to decline during the Covid-19 pandemic and large-scale social restrictions (PSBB), due to the lack of buyers. E-Commerce is an information system technology device that can be an alternative solution in an electronic-based sales system. With the use of E-Commerce technology, business actors can market their products online anywhere and anytime. Based on the above conditions, we conducted training to build a business using Electronic Commerce (E-Commerce) technology for residents in the RT 03 RW 02 Pondok Jati Jurangmangu Barat environment in order to foster an entrepreneurial spirit based on information technology (Technopreneur). The end result of this community service activity is that residents of RT 03 RW 02 Pondok Jati Jurangmangu Barat gain knowledge and experience regarding the use of E-Commerce technology, and get assistance in building E-Commerce websites.
PERAMALAN TREN KONSUMSI IKAN PER KAPITA DI INDONESIA MENGGUNAKAN MODEL TIME SERIES PROPHET UNTUK MENDUKUNG KEBIJAKAN PROGRAM MAKAN BERGIZI GRATIS (MBG) Suryadi, Lis; Waluyo, Sejati
Jurnal Mahasiswa Ilmu Komputer Vol. 7 No. 1 (2026): Jurnal Mahasiswa Ilmu Komputer March 2026
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ilmukomputer.v7i1.11291

Abstract

Konsumsi ikan merupakan salah satu indikator penting dalam pemenuhan kebutuhan gizi masyarakat karena ikan mengandung protein, asam lemak omega-3, serta berbagai nutrisi penting bagi kesehatan. Meskipun Indonesia memiliki potensi sumber daya perikanan yang besar, tingkat konsumsi ikan di berbagai wilayah masih menunjukkan perbedaan yang cukup signifikan. Beberapa daerah memiliki tingkat konsumsi ikan yang tinggi, sementara daerah lainnya masih berada di bawah rata-rata nasional. Kondisi ini menjadi tantangan dalam mendukung program peningkatan gizi masyarakat seperti Program Makan Bergizi Gratis (MBG). Penelitian ini bertujuan untuk menganalisis pola konsumsi ikan di Indonesia, mengidentifikasi wilayah dengan tingkat konsumsi rendah, serta melakukan peramalan tren konsumsi ikan di masa mendatang. Metode penelitian yang digunakan meliputi analisis eksploratif data untuk memahami karakteristik dataset serta metode peramalan deret waktu menggunakan algoritma Prophet. Dataset yang digunakan merupakan data konsumsi ikan di Indonesia pada periode 2018–2025 yang kemudian dianalisis menggunakan aplikasi berbasis web yang dibangun dengan framework Flask dan visualisasi interaktif. Hasil penelitian menunjukkan bahwa terdapat disparitas konsumsi ikan antar wilayah di Indonesia serta adanya tren peningkatan konsumsi ikan dalam beberapa tahun ke depan berdasarkan hasil peramalan model Prophet. Berdasarkan hasil analisis tersebut, wilayah dengan tingkat konsumsi ikan di bawah rata-rata nasional dapat direkomendasikan sebagai wilayah prioritas dalam implementasi program peningkatan konsumsi ikan melalui kebijakan gizi nasional. Penelitian ini diharapkan dapat memberikan kontribusi dalam mendukung pengambilan keputusan berbasis data untuk peningkatan gizi masyarakat.
Co-Authors Achmad Syarif Agus Umar Hamdani Aldi Saputra andika murti andre melky respessy Andrean Anjas Anubhakti, Dian Broto, Suwasti Dea Firmansyah Ferdiansyah Firma Agnes Ramadhan Hendri Irawan Ika Susanti Indra Indra ita novita Kukuh Harsanto Mohamad Rafli Maulana Mustofa Abdul Hawari Noermansyah, Alfian Purbayanti, Rischa Wahyu Putra, Adithya Wisnu Prasetyo Putri, Ine Widyaningrum Mustama Rania Khalda Abdiansyah Rudi Yanto Rusdah Rusdah Samsinar Samsinar Sejati Waluyo Triyono, Gandung Wahyu Pramusinto Waluyo, Sejati Wishnu Krisnanto Wulandari Wulandari