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All Journal Jurnal Teknik Komputer AMIK BSI Paradigma JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Techno Nusa Mandiri : Journal of Computing and Information Technology Jusikom : Jurnal Sistem Komputer Musirawas Jurnal Informatika Universitas Pamulang Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Riset Informatika JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Mantik INTI Nusa Mandiri REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Idealis : Indonesia Journal Information System Computer Science (CO-SCIENCE) SPEED - Sentra Penelitian Engineering dan Edukasi Jurnal Pengabdian Mandiri Justika : Jurnal Sistem Informasi Akuntansi Journal of Accounting Information System Jurmas Azam Insan Cendikia Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Jurnal Ticom: Technology of Information and Communication
Sismadi, Sismadi
Universitas Bina Sarana Informatika
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Neuroscience Public Health Social Sciences Transportation Other

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Perancangan Sistem Layanan Dokumen Kependudukan Berbasis Web Studi Kasus Desa Neglasari Bogor Sismadi, Sismadi
JAIS - Journal of Accounting Information System Vol. 1 No. 2 (2021): Desember
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jais.v1i02.933

Abstract

Excellent and efficient service and right on target is a priority that is expected by every agency, both government and private institutions. Neglasari village is one of the government agencies directly related to population administrative services. These services include, among others, birth registration, death certificates, and population transfers. The service at the Neglasari village office still uses paper as a recording tool. With this condition, errors (human error) often occur archive accumulation and loss or damage to resident archives. To anticipate these problems, a digital-based data processing system is needed. The system is built with a prototype and web-based model so that administrative services for residents are direct users who can interact with the system in real-time so that the chance of error is minimal. Another benefit of this system is that it is hoped that there will be no queues and long waiting times in managing administrative documents, besides that the efficiency and effectiveness of village staff performance will be better..
Data Mining with Logistic Regression and Support Vector Machine for Hepatitis Disease Diagnosis Amrin, Amrin; Rudianto, Rudianto; Sismadi , Sismadi
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 8 No. 2 (2025): Issues January 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v8i2.13218

Abstract

Hepatitis is a chronic and dangerous disease that can lead to death. Making early predictions to detect hepatitis is very important because many people still underestimate the disease. These predictions can be made by collecting patient data or health examination results, so that preventive measures can be taken faster and better. Early diagnosis of the disease is important for prompt management and treatment. The right stage of diagnosis activities and accurate disease prediction in time can save many patients. The magnitude of this disease problem in Indonesia can be known from various studies, studies, and disease observation activities. In this study, researchers will apply and compare data mining classification methods, namely the Logistic Regression method and Support Vector Machine to diagnose hepatitis disease. Based on the research, it is known that the Logistic Regression method has an accuracy rate of 84.62% and an under the curve (AUC) value of 0.841, then the Support Vector Machine method has an accuracy rate of 87% and an AUC value of 0.865. From the t-test results, it can be seen that there is no significant difference between the Logistic Regression and Support Vector Machine methods, because the value = 0.520>0.05. This shows that the Logistic Regression method has almost the same performance as the Support Vector Machine method. Hopefully the results of this research can help doctors determine a diagnosis more quickly and reduce the possibility of misdiagnosis so that early detection of hepatitis can be carried out more widely, especially in remote areas with limited health facilities
Optimasi Algoritma Random Forest Dengan Fitur Seleksi Backward Elimination Untuk Penilaian Kelayakan Kredit Amrin Amrin; Omar Pahlevi; Sismadi Sismadi
Jurnal Ticom: Technology of Information and Communication Vol 13 No 3 (2025): Jurnal Ticom-Mei 2025
Publisher : Asosiasi Pendidikan Tinggi Informatika dan Komputer Provinsi DKI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70309/ticom.v13i3.151

Abstract

Kredit sekarang menjadi tren di masyarakat. Problem kredit adalah sejarah penggunaan kartu kredit yang salah. Dampak yang ditimbulkan dapat menyebabkan kredit macet. Jika pelanggan tidak membayar utang yang telah disepakati dengan bank, mereka dapat meningkatkan risiko kredit mereka. Dalam penelitian ini, peneliti menerapkan algoritma Random Forest tanpa optimasi dan Algorima Random Forest dengan Optimasi Fitur Seleksi Backward Elimination untuk mengklasifikasikan status kelayakan kredit. Peneliti menggunakan 481 catatan kredit kendaraan dengan ulasan ”bad” dan ”good”. Variabel independen digunakan dalam penelitinan adalah status tanggungan, usia, pendidikan terkahir, status pernikahan, pekerjaan, status perusahaan, pendapatan, status pekerjaan, kondisi rumah, lama tinggal dan uang muka. Dari hasil penelitian dan pengujian, performa model random forest tanpa backward elimination untuk penilaian kelayakan kredit memberikan tingkat akurasi kebenaran sebesar 78,60% dengan nilai area under the curva (AUC) sebesar 0,907. Sedangkan Performa model  random forest dengan backward elimination memberikan tingkat akurasi kebenaran sebesar 89,81% dengan nilai area under the curve (AUC) sebesar 0,922. Hal ini membuktikan bahwa optimasi dengan backward elimination dapat meningkatkan kinerja metode klasifikasi yang digunakan.
Pelatihan Digital Marketing serta Optimalisasi TikTok Shop untuk Pelaku UMKM Taman Cibinong Asri Bogor Rosmita Rosmita; Sismadi Sismadi; Indah Purwandani; Devy Sofyanty
ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Vol. 3 No. 3 (2025): Mei: ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/aspirasi.v3i3.1755

Abstract

TikTok Shop is a social e-commerce platform where vendors can sell products to TikTok users. Users can then purchase items in various conditions with this program. Additionally, sellers can post and save product details and listings to promote to TikTok users.The purpose of carrying out this Community Service activity is to optimize marketing activities for SMEs digitally so that SMEs products in Taman Cibinong Asri Bogor can cover a wider scope. Community Service activities carried out by organizing socialization and training for all SME actors. In the counseling session, participants were given direct practice in creating a TikTok Shop account, uploading products and creating promotional content. The results of the activity show that participants have a good understanding of digital technology, especially TikTok Shop. Participants are also able to create a TikTok Shop account and upload their products. However, participants still need to improve their skills in creating interesting promotional content.
Peningkatan Jaringan Komunikasi Tertutup Berbasis Seluler Dengan Agregasi Multi Link : Studi Kasus PT. Solusi Media Semesta Iman, Fadlul; Saputra, Elin Panca; Kusumo, Aryo Tunjung; Sismadi, Sismadi
Computer Science (CO-SCIENCE) Vol. 4 No. 2 (2024): Juli 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v4i2.2372

Abstract

The increasing need for cellular-based closed communication networks in corporate environments has increasingly become a major focus for many organizations, including PT. Universal Media Solutions Jakarta. In the face of increasingly complex communication challenges and increasing data demands, the company is working to improve the efficiency and performance of its communications network. This study aims to investigate the potential of using multi-link aggregation as a solution to improve cellular communication networks at PT. Universal Media Solutions Jakarta. The multi-link aggregation method allows combining multiple communication lines to achieve increased network speed, availability, and consistency. The study will involve analyzing and testing various scenarios using multi-link aggregation technology in the company's cellular-based closed network environment. Network performance measurement will be carried out to radiate the effectiveness of the implemented solutions. In addition, technical and financial factors will also be considered to ensure the feasibility and efficiency of the proposed solution. The results of this study are expected to provide valuable insights for PT. Solusi Media Semesta Jakarta and other organizations in optimizing their closed communication network using multi-link aggregation technology. Thus, companies can increase productivity, reduce downtime, and improve service quality for their customers and internal users.
Perancangan Sistem Layanan Dokumen Kependudukan Berbasis Web Studi Kasus Desa Neglasari Bogor Sismadi, Sismadi
JAIS - Journal of Accounting Information System Vol. 1 No. 2 (2021): Desember
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jais.v1i02.933

Abstract

Excellent and efficient service and right on target is a priority that is expected by every agency, both government and private institutions. Neglasari village is one of the government agencies directly related to population administrative services. These services include, among others, birth registration, death certificates, and population transfers. The service at the Neglasari village office still uses paper as a recording tool. With this condition, errors (human error) often occur archive accumulation and loss or damage to resident archives. To anticipate these problems, a digital-based data processing system is needed. The system is built with a prototype and web-based model so that administrative services for residents are direct users who can interact with the system in real-time so that the chance of error is minimal. Another benefit of this system is that it is hoped that there will be no queues and long waiting times in managing administrative documents, besides that the efficiency and effectiveness of village staff performance will be better..
Pengelolaan Dokumen Administratif Data Kependudukan Pada Kelurahan Ciparigi Bogor Kusnadi, Yahdi; Wahyudi, Endang; Sismadi, Sismadi
JUSTIKA : Jurnal Sistem Informasi Akuntansi Vol 2 No 1 (2022): JUSTIKA : Jurnal Sistem Informasi Akuntansi
Publisher : Program Studi Sistem Informasi Akuntansi Kampus Kota Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/justika.v2i1.1238

Abstract

Kemajuan teknologi informasi mendominasi semua sektor kehidupan masyarakat, tidak terkecuali Lembaga pemerintah utamanya pelayanan publik. Kelurahan ciparigi bogor saat ini dalam menjalankan pelayanan administrative terhadap masyarakat masih bersifat konvensional sehingga berdampak pada kualitas layanan yang dibutuhkan oleh masyarakat. Pelayanan tersebut antara lain pembuatan eKTP, pengantar kartu Indonesia sehat dan Surat Keterangan Tidak Mampu. Sistem pelayanan manual ini berdampak pada kinerja staf kelurahan menjadi tidak efisien, sedangkan pada sisi pelayanan masyarakat membutuhkan waktu cukup lama. Ditambah dengan pertambahan jumlah penduduk yang terus meningkat. Solusi dari masalah ini dengan membangun sistem pelayanan berbasis digital dan dapat diakses dari mana saja, sehingga masyarakat lebih efektif dari sisi waktu dan kinerja staf kelurahan menjadi efisien dengan bantuan teknologi yang memudahkan dalam pelayanan administrative terhadap kebutuhan dokumen penduduk. Sistem dibangun dengan model waterfall dan framework codeigniter berbasis web. Dengan system yang dibuat ini mampu meningkatkan pelayanan t lebih cepat, tepat dan efektif.
Application of Waterfall Model In Development of Work Training Acceptance System Hidayati, Nur; Sismadi, Sismadi
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 4 No 1 (2020): February 2020
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.589 KB) | DOI: 10.29407/intensif.v4i1.13575

Abstract

Unemployment became a social problem for the community, so they could not meet their life needs. One cause because they do not have special skills, so it is difficult to get a job. Therefore, in every local government through the UPTD Balai Tenaga Kerja, it often conducts work training for those who need it. However, the system applied in the UPTD Bogor area is still conventional. Causing problems such as data readings are less obvious; form storage and documents are not neatly arranged, so some documents are missing and lost. It resulted in a loss for the participants who would participate in job training. So it takes the development of the system to solve the problem. To improve the existing system, that is from conventional to computerized. For the development of this system, it is necessary to take steps such as those in the waterfall model. The result of the development of this system is the design of a web-based work training acceptance system that can facilitate participants to access online in the selection of the desired work exercises, and the storage of documents will be stored neatly in a database.
Implementasi Extreme Programming pada Sistem Informasi Tempat Wisata Berbasis Web Susi Susilowati; Mochmahad Ilham Pringgadhi; Muhammad Alif Bayu Subekti; Sismadi Sismadi
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 9 No. 4 (2025): Volume 9 Nomor 4 Oktober 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v9i4.15298

Abstract

Meningkatnya kebutuhan transformasi digital mendorong lembaga seperti Studio Alam TVRI untuk beralih dari pencatatan manual yang rentan terhadap kesalahan dan ketidakefisienan. Penelitian ini mengembangkan aplikasi web untuk mengelola data penjualan layanan secara lebih efisien. Sistem memungkinkan pencatatan transaksi digital, penyimpanan data pelanggan, dan pembuatan laporan keuangan otomatis. Aplikasi dikembangkan dengan Python, menggunakan Streamlit sebagai antarmuka, Supabase (PostgreSQL) sebagai basis data, serta Pandas, SQLAlchemy, dan Plotly untuk manipulasi dan visualisasi data. Metodologi Extreme Programming (XP) digunakan untuk mendukung pengembangan fleksibel dan berbasis umpan balik. Hasil pengujian menunjukkan bahwa aplikasi berjalan efektif dan memenuhi kebutuhan pengguna. Sistem ini diharapkan dapat meningkatkan akurasi administrasi, mengurangi beban kerja manual, dan mendorong digitalisasi operasional Studio Alam TVRI.
Co-Authors . Nasruloh Amrin Amrin Amrin Amrin Apriyani, Helina Arvel Fausta Raynor Aryo Tunjung Kusumo Devy Sofyanty Diki Setiawan Endang Wahyudi Helina Apriyani iman, Fadlul Kusumo, Aryo Tunjung Lydia Salvina Helling Martua Hami Siregar Mochmahad Ilham Pringgadhi Muhammad Alif Bayu Subekti Nur Hidayati Nurhikmah Nurhikmah Omar Pahlevi Panca Saputra, Elin Purwandani, Indah Rame Santoso Rosmita Rosmita Rosmita Rosmita, Rosmita Rudianto Rudianto Sahirah Aliffiana Salvina, Lydia Sefrika Sefrika Sefrika, Sefrika Sopiyan Dalis Susi Susilowati Syamsul Bahri Yahdi Kusnadi Yahdi Kusnadi, Yahdi