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All Journal Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Computer Networks, Architecture and High Performance Computing JANAKA : JURNAL PENGABDIAN MASYARAKAT KEWIRAUSAHAAN INDONESIA PELS (Procedia of Engineering and Life Science) Abadi: Jurnal Ahmad Dahlan Mengabdi Prestise: Jurnal Pengabdian Kepada Masyarakat Bidang Ekonomi dan Bisnis Scripta Technica: Journal of Engineering and Applied Technology
Ilham Basri K
Institut Teknologi Dan Bisnis Ahmad Dahlan Lamongan
Religion Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences

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Forecasting the Number of Patient Visits by Arima and Holwinters Method at the Public Health Center Basri K, Ilham; David Fahmi Abdillah; Titik Khotiah; Jumain; Abdul Rohman
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2008

Abstract

As the number of human populations increases and the economy becomes more advanced, people's awareness of health increases. This can increase the number of patient visits if the community will visit for treatment, therefore it is necessary to pay special attention from the health center to carry out readiness in the fulfillment of facilities and service support equipment, such as services in the outpatient registration place where registration documents must be adjusted to the number of existing patients, if the documents are lacking or have not been made, there can be long queues or accumulation of patients which leads to inadequate service. For this reason, the public health center must carry out careful planning activities, one of which is by conducting forecasting activities in order to overcome these problems.This study compares the best method among the 2 time series methods, then the forecasting results will be compared with the actual data to find which forecasting is the best.The final results showed the MAPE value of the arima method for Direct Patient Visits data was worth 22.55% while the Referral Patient Visits were valued at 47.40% with the Moderate/Feasible category, the Holwinters method for Direct Patient Visits data was worth 7.90% while the Referral Patient Visits were worth 11.90% with the excellent category.can be said that the smallest error value is Holtwinters from Direct Patient Visit data with MAPE 7.90% and from Referral Patient Visit data with MAPE 11.90%. Which is where it is said to be an excellent forecasting category
Comparison of Machine Learning Techniques in the Classification of Parkinson’s Desease Sufferers Khotiah, Titik; Abdillah, David Fahmi; K, Ilham Basri; Arianto, Fery; Rohman, Abdul
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2035

Abstract

Parkinson's disease is a progressive and relatively common neurodegenerative  disorder in the central nervous system where sufferers can have difficulty moving. This disease has a high mortality rate in the world of around 9.3 million in 2021. Meanwhile, in Indonesia, it is estimated that as many as 12,980 people die every year due to Parkinson's cases. This increase in cases of death is due to the lack of information about the initial symptoms and dangers of the disease, besides it is important to know how to prevent it early.  Early detection of Parkinson's disease can prevent symptoms of a certain age thereby increasing life expectancy. The existence of a computer-based system for diagnosing Parkinson's disease is called a classification system where the system applies the Machine Learning method. This study aims to compare the performance of algorithms in the classification system of people with computer diseases. In this study, it used methods in  Machine Learning such as K-NN, Multi Layer Percepteron (MLP), Linear Regression and Support Vector Machine (SVM).  The data set in this study was obtained using the Weka application.  The dataset used was Parkinson's Disease data  totaling 195 rows of data taken from the UCI Machine Learning Repository Datasets.  The results  of the experiment based on the four algorithms showed that  the poor performance was the Multi Layer Percepteron approach  to regression data with an RSME value of 0.459.  Meanwhile, the k-Neural Network Algorithm  is a good classification technique forParkinson's problem with an RMSE value of 0.1895.
PENINGKATAN LAYANAN PENDIDIKAN DAN MINAT BELAJAR ANAK MELALUI PROGRAM BIMBINGAN BELAJAR DI DESA DUKUH AGUNG KECAMATAN TIKUNG KABUPATEN LAMONGAN Fauzi, Maulidza Nur; Abdillah, David Fahmi; K, Ilham Basri; Anwar, Masrur; Rhodiyah, Ma’rufatur; Islamiyah, Nur Hidayatul
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2024): Volume 5 No. 3 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i3.29781

Abstract

Pengabdian ini bertujuan untuk memberikan bimbingan belajar kepada siswa siswi MI (Madrasah Ibtidaiyah) Al-Hidayah Dusun Tinaro Desa Dukuh Agung. Pengabdian masyarakat berupa kegiatan bimbingan belajar yang diadakan secara gratis. Metode yang digunakan dalam kegiatan ini berupa Pendidikan masyarakat. Semua anak yang mengikuti bimbingan belajar dapat terbantu dalam proses pembelajaran dan terbangun motivasi belajar hal ini dapat dilihat dari antusias dan semangat anak yang mengikuti kegiatan belajar. Pendampingan dan bimbingan pada anak di fokuskan pada peserta didik yang berada di MI Al-Hidayah Dusun Tinaro Desa Dukuh Agung.
Pembuatan Papan Informasi di Kantor Kelurahan dan SD Inpres Besmarak Menggunakan Limbah Kayu Ilham Basri K.; David Fahmi Abdillah; Yanuangga Galahartlambang; Titiek Khotiah; Maria Arista Ulfa; Achmad Farid Dedyansyah
Ahmad Dahlan Mengabdi Vol 2 No 1 (2023): ABADI: Jurnal Ahmad Dahlan Mengabdi Edisi Maret 2023
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Institut Teknologi dan Bisnis Ahmad Dahlan Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58906/abadi.v2i1.85

Abstract

Papan informasi adalah media informasi yang biasanya dibuat dengan sasaran yang lebih luas. Papan informasi biasa disebut dengan papan pengumuman merupakan media informasi/kelompok yang ditujukan untuk kelompok tertentu. Sasaran pengadaan papan informasi ini adalah Kantor Lurah dan SD Inpres Besmarak. Papan informasi yang di buat tulisannya berupa ukiran huruf yang bahan baku dari ukiran tersebut mengunakan limbah kayu. Papan informasi sekolah menyediakan informasi berupa biodata, masa kerja hingga jabatan dari guru maupun pegawai dan Papan informasi kantor lurah menyediakan informasi tentang struktur organisasi mulai dari Kades, Sekdes dan Kepala Dusun I-V.
Edukasi Pemberantasan Sarang Nyamuk Dalam Upaya Pengendalian Demam Berdarah Dengue Achmad Farid Dedyansyah; Nola Riwibowo; David Fahmi Abdillah; Ilham Basri K.; Yanuangga Galahartlambang
Ahmad Dahlan Mengabdi Vol 3 No 1 (2024): ABADI : Jurnal Ahmad Dahlan Mengabdi Edisi Maret 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Institut Teknologi dan Bisnis Ahmad Dahlan Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58906/abadi.v3i1.133

Abstract

Kabupaten Lamongan sering mengalami Kejadian Luar Biasa (KLB) kasus Demam Berdarah Dengue (DBD). Upaya promotif dan preventif penting dilakukan, termasuk meningkatkan pengetahuan dan keterampilan masyarakat dalam pencegahan DBD. Kegiatan edukasi pemberantasan sarang nyamuk dilakukan di Balai Desa Kedungsari, Kembangbahu, Lamongan, diikuti oleh 50 Ibu PKK. Metode yang digunakan adalah ceramah, diskusi, dan demonstrasi, dengan bantuan media audio visual dan alat peraga. Materi meliputi pelatihan pemantauan jentik dan edukasi kesehatan. Evaluasi pre dan post dilakukan melalui kuisioner. Hasil menunjukkan 83% peserta menilai kegiatan bagus, 14% netral, dan 3% kurang tertarik. Mayoritas merasa senang dan mendapat manfaat, ditambah pembagian gratis serbuk pembasmi nyamuk dari panitia.
Pelayanan Masyarakat dalam Digitalisasi Desa Rayunggumuk UMKM melalui Pembuatan Banner UMKM dan Pendaftaran Lokasi UMKM di Google Maps Sulis Tiyawati; Lisa Oktavia Anggraini; Muhammad Sulton; Ilham Basri K.; Mas'adah Mas'adah
Prestise: Jurnal Pengabdian Kepada Masyarakat Bidang Ekonomi dan Bisnis Vol. 5 No. 2 (2025): Jurnal Pengabdian Kepada Masyarakat Bidang Ekonomi dan Bisnis
Publisher : Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/prestise.v5i2.50518

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in sustaining rural economies by creating employment opportunities, utilizing local resources, and supporting household income. However, many rural MSMEs continue to face structural challenges, particularly limited promotional capacity and low digital technology adoption, which reduce business visibility, restrict market access, and weaken competitiveness amid increasing economic digitalization. In Rayunggumuk Village, most MSMEs operate informally, rely on word-of-mouth promotion, lack clear visual business identities, and have not utilized digital platforms for business promotion. This community service program aimed to address these issues through simple, low-cost, and context-appropriate promotional strategies by integrating offline visual branding with basic digitalization. Using the Asset-Based Community Development (ABCD) framework, the program involved ten MSMEs from sectors such as processed food, traditional beverages, handicrafts, and local services. The interventions included designing and installing promotional banners and registering business locations on Google Maps, supported by direct mentoring activities. The results showed improved MSME visibility, accessibility, consumer trust, and digital literacy, demonstrating that combining visual branding with digital mapping can effectively support sustainable rural MSME empowerment.
Explainable AI (XAI) Analysis Using SHAP for Credit Card Fraud Yanuangga Galahartlambang; Titik Khotiah; Ilham Basri K; Masrur Anwar
Journal of Engineering and Applied Technology Vol 1 No 2 (2025): December: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/scxk4755

Abstract

The increased use of credit cards in digital payment systems has also increased the risk of transaction fraud, which has led to financial losses and a decline in user confidence. Various machine learning approaches have been developed to automatically detect fraud, but most high-performance models are black-box in nature, making them difficult to explain and unsupportive of auditing and decision-making processes. This study aims to analyze the application of Explainable Artificial Intelligence (XAI) using the SHAP (SHapley Additive exPlanations) method in credit card fraud detection systems. An imbalanced credit card transaction dataset was used as experimental data, with two classification models, namely Logistic Regression as a baseline and Random Forest as an ensemble model. Performance evaluation was conducted using Precision, Recall, F1-score, and Average Precision (PR-AUC) metrics, which are more suitable for imbalanced data cases. The experimental results show that the Random Forest model performs better than Logistic Regression, especially in terms of Precision, F1-Score, and PR-AUC metrics. Explainability analysis using SHAP was performed to obtain global and local explanations for the model's decisions. Global explanations successfully identified the dominant features that influence fraud predictions, while local explanations provided an overview of the contribution of individual features to specific fraud transactions. The results of this study show that the application of SHAP can improve the transparency and clarity of fraud detection model decisions without sacrificing prediction performance, thereby potentially supporting the development of a more reliable and easily audited fraud detection system.  
Co-Authors Abdilah, David Fahmi Abdillah, David Fahmi Abdul Rohman Abdul Rohman Abdul Rohman ABDUL ROHMAN Achmad Farid Dedyansyah Anwar, Masrur Arianto, Fery Darianto, Darianto David Fahmi Abdillah David Fahmi Abdillah David Fahmi Abdillah Fahmi Abdillah, David Fery Arianto Galahartlambang , Yanuangga Islamiyah, Nur Hidayatul Jumain Jumain Khotiah, Titiek Khotiah, Titik lambang , Yanuangga Galahart Lisa Oktavia Anggraini Maria Arista Ulfa Mas'adah Mas'adah Masrur Anwar Maulidza Nur Fauzi Muhammad Sulton N Riwibowo Rhodiyah, Ma’rufatur Rohman Dijaya Rosid , Mochammad Alfan Sulis Tiyawati Titiek Khotiah Titik Khotiah Titik Khotiah Titik Khotiah Yanuangga Galahartlambang