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All Journal JURNAL INFORMATIKA Conference on Innovation and Application of Science and Technology (CIASTECH) JSI (Jurnal sistem Informasi) Universitas Suryadarma Scientific Journal of Informatics G-Tech : Jurnal Teknologi Terapan Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) As-Sidanah : Jurnal Pengabdian Masyarakat Al-Khidmah Jurnal Pengabdian Masyarakat JUSTIFY : Jurnal Sistem Informasi Ibrahimy JEECS (Journal of Electrical Engineering and Computer Sciences) JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Jurnal Ilmiah Multidisiplin Nusantara Jurnal Padamu Negeri Jurnal Teras Pengabdian Masyarakat NJCOM: Community Service Journal Journal Of Global Computer Science
Fatah, Zaehol
Fakultas Sains Dan Teknologi Universitas Ibrahimy
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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PREDIKSI RISIKO DEMAM BERDARAH MENGGUNAKAN DECISION TREE BERDASARKAN GEJALA KLINIS DAN DATA LABORATORIUM M. Fazlur Rahman Assauqi; Zaehol Fatah
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 2 No. 4 (2024): Oktober : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v2i4.972

Abstract

Dengue Hemorrhagic Fever (DHF) is a disease caused by the Dengue virus and has a significant impact on public health, especially in tropical areas. Early diagnosis and prediction of DHF risk are essential to prevent complications and improve medical care. This study aims to develop a DHF risk prediction model using the Decision Tree method based on clinical symptoms and laboratory data. The data used include symptoms such as fever, joint pain, rash, and laboratory results such as platelet count and hematocrit. The Decision Tree model was chosen because of its ability to handle data with various variables and provide easy-to-understand interpretations. The research data were taken from patients diagnosed with DHF in several hospitals during a certain period. The dataset was then analyzed to find relevant patterns that could predict a high risk of DHF. The model training and testing process was carried out using cross-validation techniques to ensure prediction accuracy. The results showed that the Decision Tree model had an accuracy rate of 96.95% and consistent results from cross-validation which produced an average accuracy of 92.8%,, with good sensitivity and specificity in predicting DHF risk based on a combination of clinical symptoms and laboratory data. Factors such as low platelet count and fever symptoms lasting more than three days were found to be significant predictive variables. In conclusion, this Decision Tree model has the potential to be used as a tool in early prediction of DHF risk, which can help medical personnel in clinical decision making and patient management. Further development can be done by adding other variables such as epidemiological data to improve model performance.
Analisis Pengaruh Jenis Buku Terhadap Minat Baca Mahasiswa di Perpustakaan Ibrahimy dengan Algoritma K-Means Clustering Mahmudi Mahmudi; Zaehol Fatah
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 3 No. 1 (2025): Januari : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v3i1.1013

Abstract

In today's digital era, students' interest in reading seems to be declining, particularly in literacy activities aimed at enhancing knowledge. This issue has become a concern in efforts to foster a reading culture among students. This study aims to analyze and describe the types of books that can influence students' reading interest. Data were collected through student evaluations, lecturers' opinions, and librarians' perspectives. The data collection methods included questionnaires, observations, and interviews, with data analysis conducted through reduction processes. The study results highlight four main points: 1) The types of books that attract students' interest include fiction and non-fiction books. 2) External factors influencing reading interest include the environment, support from lecturers, and available facilities. 3) From librarians' perspectives, students' reading interest is affected by curiosity, available facilities, and academic assignments. 4) Efforts to enhance students' reading interest can be carried out through activities such as library visit competitions and book review contests. In conclusion, two types of books—fiction and non-fiction—can influence students' reading interest. A survey of 100 students revealed that 75% preferred fiction books, while the remaining 25% favored non-fiction books.
PREDIKSI PRODUK PENJUALAN DI SUPERMARKET DENGAN METODE ALGORITMA K-NEAREST NEIGHBORS (KNN) Ahmad Muflih Wafir; Zaehol Fatah
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 3 No. 1 (2025): Januari : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v3i1.1056

Abstract

In today's era, there are already many companies that have been established, from urban to rural areas, various companies have been established, especially companies that provide daily necessities such as supermarkets. And each company competes with each other in selling its products with the expected results. In this study, researchers use data to support this study. Because sales of goods or product stock can be calculated in sales results, the higher the sales, the higher the risk that will be faced. This study aims to apply data mining in analyzing sales results that occur in supermarkets. And to find out its impact on sales. This researcher uses the KNN method, by looking for test results with this method which will be implemented using the Rapid Miner application which will later produce the results of its analysis.
Pelatihan Menggunakan Microsoft PowerPoint Sebagai Sarana Presentasi di SDN Subo 01 Pakusari Jember Anisatul Rhodiah; Zaehol Fatah
Al-Khidmah Jurnal Pengabdian Masyarakat Vol. 6 No. 2 (2026): MEI-AGUSTUS
Publisher : Institute for Research and Community Service (LPPM) of the Islamic University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56013/jak.v6i2.5784

Abstract

This community service activity was conducted to help elementary school students improve their digital literacy and basic presentation skills through Microsoft PowerPoint training at SDN Subo 01 Pakusari Jember. The training used a simple approach by combining short explanations with direct practice, allowing students to immediately try what they had learned, such as creating slides, adding text, inserting images, and using basic animations. The activity was carried out through several stages, including preparation, observation, implementation, and evaluation, and involved 22 fourth-grade students. The results showed that most students were able to understand and use PowerPoint better than before, even though some initially felt unfamiliar with the application. Around 70% of the participants were able to create simple presentations independently. In addition to improving technical skills, the training also helped students become more confident and active during the learning process. Based on the evaluation, most students expressed satisfaction with the activity, indicating that the training was useful and engaging for them.
PENGENALAN PERAN SISTEM OPERASI DALAM MENJALANKAN PROGRAM APLIKASI PADA KOMPUTER DAN SMARTPHONE DI MTS ISLAMIYAH WONGSOREJO Zaehol Fatah; Mita Abelia
Jurnal Padamu Negeri Vol. 3 No. 2 (2026): April : Jurnal Padamu Negeri (JPN)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/923a1308

Abstract

Operating system introduction activities are important efforts to improve students' understanding of information technology, especially in the use of personal computers and smartphones. This study aims to examine the role of operating systems in running application programs and increase students' insight at MTs Islamiyah Wongsorejo. The method used is a qualitative descriptive approach with literature study techniques and observations during the seminar. The results of the activity indicate that the operating system has a fundamental role that acts as a connecting medium between hardware and software systems, as well as managing system resources that enable applications to run optimally. In addition, there are differences in the implementation of operating systems on personal computers and smartphones, but both still have the same basic principles. The implementation of the seminar also showed an increase in participant participation and understanding, which was marked by active participation in discussions and the ability to re-explain the material presented. Thus, this activity makes a positive contribution to improving digital literacy and students' understanding of the importance of operating systems in everyday life.
PENGEMBANGAN PENGGUNAAN MICROSOFT WORD DAN EXCEL UNTUK EFISIENSI BELAJAR SISWA DI MTS ISLAMIYAH WONGSOREJO Zaehol Fatah; Nasywa Faiz Atillah Mifta
Jurnal Padamu Negeri Vol. 3 No. 2 (2026): April : Jurnal Padamu Negeri (JPN)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/wg0q0326

Abstract

This study aims to develop the use of Microsoft Word and Microsoft Excel as supporting tools to enhance learning efficiency among students at MTS Islamiyah Wongsorejo. The program was conducted through seminars and hands-on practice focusing on mastering both basic and advanced features of the applications. The research employed a developmental approach consisting of preparation, implementation, and evaluation stages. The findings indicate a significant improvement in students’ digital skills, particularly in preparing academic documents using Word and managing data charts through Excel. Furthemore, the activities encouraged active participation, increased learning motivation, and aligned with the demands of the independent curriculum, which emphasizes digital literacy and creativity. Therefore, the integration of Word and Excel proved effective in supporting students’ learning efficiency while preparing them to face academic challenges and professional demands in the digital era.
Klasifikasi Jenis Kendaraan Menggunakan Decision Tree Dan Evaluasi Akurasi Melalui Confusion Matrix Samsul; Zaehol Fatah
Journal Of Global Computer Science Vol. 1 No. 2 (2025): JGCS - AUGUST
Publisher : PT. Padang Tekno Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/jgcs.v1i2.2025.27

Abstract

Data mining merupakan salah satu metode yang paling efektif dalam menghasilkan klasifikasi yang akurat, efisien, dan relevan. Pengelompokan jenis kendaraan berdasarkan sistem transmisi dilakukan dengan menggunakan algoritma Decision Tree dan dievaluasi melalui confusion matrix. Dataset yang digunakan mencakup empat jenis kendaraan: Bebek, Skuter, Sport, dan Trail, dengan tiga jenis transmisi: Manual, Automatic, dan Kopling. Algoritma Decision Tree dipilih karena kemampuannya dalam membagi dataset secara rekursif untuk menghasilkan aturan klasifikasi yang jelas dan mudah dipahami. Model dilatih dan diuji untuk memprediksi jenis transmisi berdasarkan fitur kendaraan, dengan hasil akurasi mencapai 95%. Evaluasi menggunakan confusion matrix mengungkap distribusi prediksi benar dan salah pada setiap kategori. Hasilnya menunjukkan bahwa transmisi Automatic dan Kopling diklasifikasikan dengan akurasi tinggi, meskipun terdapat beberapa kesalahan pada prediksi transmisi Manual. Nilai Cohen’s Kappa sebesar 0,913 mengindikasikan kesesuaian yang sangat baik antara prediksi dan data aktual. Algoritma Decision Tree terbukti efektif dalam klasifikasi jenis kendaraan, meskipun diperlukan perbaikan untuk meningkatkan akurasi pada kategori tertentu.
Sistem Informasi Survey Kepuasan Masyarakat Berbasis Web Pada Badan Kepegawaian Dan Pengembangan Sumber Daya Manusia Kabupaten Bondowoso Nori Nur Fasratul Aini; Zaehol Fatah; Ahmad Homaidi
Journal Of Global Computer Science Vol. 1 No. 2 (2025): JGCS - AUGUST
Publisher : PT. Padang Tekno Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/jgcs.v1i2.2025.34

Abstract

Survey Kepuasan Masyarakat di Badan Kepegawaian dan Pengembangan Sumber Daya Manusia (BKPSDM) Kabupaten Bondowoso seringkali terdapat kendala dalam mengumpulkan data kepuasan masyarakat terkait layanan publik yang diberikan oleh instansi BKPSDM Kabupaten Bondowoso. Metode survey konvensional yang menggunakan kuesioner manual seringkali membutuhkan waktu, tenaga, dan sumber daya yang signifikan. Selain itu, data yang diperoleh dari survey tersebut sering tidak tersedia secara real-time dan sulit untuk diolah secara efisien. Dalam penelitian ini bertujuan untuk meningkatkan akurasi dan kendala data kepuasan masyarakat. kuesioner online akan meminimalkan kesalahan penulisan dan memungkinkan validasi data secara langsung. Penelitian ini menghasilkan nilai survey kepuasan masyarakat terhadap pelayanan pada Badan Kepegawaian dan Pengembangan Sumber Daya Manusia.
Sistem Informasi Data Pelayanan Pengunjung (Buku Besar) Berbasis Website Di Bidang Kearsipan Dinas Perpustakaan Dan Kearsipan Nur Kamila; Zaehol Fatah
Journal Of Global Computer Science Vol. 1 No. 2 (2025): JGCS - AUGUST
Publisher : PT. Padang Tekno Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/jgcs.v1i2.2025.38

Abstract

Dinas Perpustakaan dan kearsipan, Khususnya di bagian kearsipan sering kali terdapat kendala dalam melakukan pencatatan pada buku besar. Akibatnya, petugas bidang kearsipan sering mengalami kesulitan dalam emlakukan penelusuran data baik saat pelayanan pengunjung mengenai laporan perminggu, perbulan dan pertahun. Sistem pengisian buku tamu yang digunakan masih menggunakan buku besar atau secara manual, sehingga menyebabkan penumpukan data pada buku besar, sulit dalam melakukan pembuatan laporan kunjungan tamu. Dalam  penelitian ini bertujuan untuk mengatasi berbagai kebutuhan untuk mencari data pengunjung dan pwmbuatan laporan. Penelitian ini menggunakan bahasa pemograman php mysql dan metode yang digunakan adalah metode waterfall.
Penerapan Algoritma Regresi Linear untuk Estimasi Harga Saham dalam Pengambilan Keputusan Investasi Zaehol Fatah; Qurrotul A'yun
JSI (Jurnal Sistem Informasi) Universitas Suryadarma Vol. 13 No. 1 (2026): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Fakultas Ilmu Komputer dan Desain - Unsurya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v13i1.1700

Abstract

Penelitian ini berfokus pada implementasi metode data mining dengan Regresi Linear (RL) untuk tujuan pemodelan dan estimasi harga saham menggunakan data historis. Pilihan terhadap algoritma RL didasarkan pada keunggulannya dalam struktur pemodelan linier, efisiensi komputasi, serta kemampuan menyajikan interpretasi hasil secara lugas. Dataset yang dimanfaatkan diperoleh dari platform Kaggle, yang berisi data harga saham harian dalam rentang waktu 2008–2015. Proses analisis data dilaksanakan menggunakan perangkat RapidMiner Studio, mencakup fase akuisisi data, pra-pemrosesan, implementasi algoritma, hingga penilaian kinerja model. Hasil estimasi dengan RapidMiner menunjukkan bahwa model RL berhasil memprediksi harga penutupan saham dengan tingkat akurasi yang tinggi, terlihat dari tingkat kesalahan yang minimal. Model tersebut telah teruji dengan mendapatkan nilai Root Mean Squared Error (RMSE) sebesar 1.229 dan Squared Error sebesar 1.511. Secara keseluruhan, dapat disimpulkan bahwa Regresi Linear adalah algoritma yang efektif untuk membangun model estimasi harga saham yang akurat, sehingga menjadi dasar yang kuat dalam pengambilan keputusan investasi.
Co-Authors Abdul Jalil Abu Dzarrin Al Ghifari Achmad Baijuri Ahmad Efendi Ahmad Homaidi Ahmad Muflih Wafir Ahmad Wahyu Fernando Ahmad Yogianto Akhlis Munazilin Ali Muhajir Anisatul Rhodiah As’ad Alwi Shihab Cindy Nur Dina Alifia dewi khoirunisak Fikri Febrian Imam Nawawi Irma Yunita Irma Yunita Jarot Dwi Prasetyo Jarot Dwi Prasetyo Lukman Aliyasin Lukman Fakih Lidimilah M. Fazlur Rahman Assauqi Madatahliya Mahmudi Mahmudi Mita Abelia Moh. Aqil Mukhtar Alfarera Moh. Bahauddin Nasywa Faiz Atillah Mifta Nauradhia Shofarianti Putri Neny Yuli Susanti Neny Yuli Susanti Nori Nur Fasratul Aini Nur Azizah Nur Kamila Qurrotul A'yun Rohiqim Mahtum Rohiqim Mahtum Samsul Taufik Saleh Taufik Saleh Tawakal, Anzori wardhatun khasanah Yaumil Farah Zainul Arifin Alwi Al Qayyis Zainur Rohman