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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Ilmu Komputer Jurnal Sistem Informasi dan Bisnis Cerdas Jurnal Akuntansi Manado (JAIM)
Hasyim, Wahyudin
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Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Neuroscience Social Sciences Transportation

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Analisis Tingkat Kepuasan Pengguna Sistem Informasi Elektronik Kinerja Asn (SI – EKA) Di Kementerian Agama Menggunakan Metode Webqual Sulistyawati, Ni Kadek; Hasyim, Wahyudin; Maku, Rubiyanto; Abas, Mohamad Ilyas
Jurnal Ilmu Komputer (JUIK) Vol 4, No 1 (2024): FEBRUARY 2024
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/juik.v4i1.2804

Abstract

Penelitian ini bertujuan untuk mengetahui kepuasan pengguna terhadap kualitas sistem informasi SI – EKA di kementerian agama menggunakan metode webqual . Teknik analisis yang digunakan analisis adalah kuantitatif, Metode yang digunakan adalah webqual .Teknik yang digunakan dalam menentukan ukuran sampel dari suatu populasi yaitu teknik slovin .Sampel pada penelitian ini sebanyak 155 sampel penelitian ini adalah Pada hasil analisis deskriptif memperoleh nilai persentase untuk kategori setuju dengan persentase Sebesar 42,58% yang dapat disimpulkan berarti sebagian besar pegawai setuju dengan peryataan mengenai kepuasan pegawai terhadap sistem informasi SI – EKA. Dari hasil yang diperoleh dapat dilihat bahwa pengguna merasa sistem informasi SI – EKA mudah untuk digunakan dan sistem informasi SI – EKA mempunyai kualitas yang sangat baik.
Pengaruh Akuntabilitas Keuangan Daerah Dan Sistem Pengendalian Internal Pemerintah Terhadap Tingkat Kemandirian Daerah Di Indonesia Hasyim, Wahyudin; Pattawe, Abdul; Din, Muhammad; Furqan, Andi Chairil; Megawati, Megawati
Jurnal Akuntansi Manado (JAIM) Volume 5. Nomor 3. Desember 2024
Publisher : Fakultas Ekonomi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jaim.vi.10394

Abstract

This research aims.to analyze the influence of regional financial accountability and.the effectiveness of.the Government.Internal Control.System (SPIP) in increasing regional independence. Using 542 regional government data consisting of Provinces/Districts/Cities during 2018-2021 with a sample of 2,168 observations. The results of this research show that regional financial accountability has a positive effect on regional independence, where increasing financial accountability contributes to increasing regional independence. Meanwhile, a strong SPIP also contributes significantly to regional independence, indicating that strengthening internal control can increase the efficiency and effectiveness of regional financial management. This research has implications for the importance of regional governments creating and implementing policies to realize accountability and improve financial zmanagement as a strategy to increase regional independence.
Analisis Forensik Digital pada Kasus Penyebaran Konten Ilegal Menggunakan Metode National Intitute of Justice (NIJ) Ingahu, Rapia Yakob; Hasyim, Wahyudin; Gani, Hilmansyah
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 6 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i6.10129

Abstract

Abstrak - Perkembangan media sosial meningkatkan risiko penyebaran konten ilegal, seperti kasus cyberbullying di Facebook Messenger. Penelitian ini bertujuan untuk menganalisis bukti digital pada kasus penyebaran konten ilegal menggunakan metode National Institute of Justice (NIJ). Penelitian dilakukan melalui pendekatan kualitatif deskriptif berbasis skenario simulatif dan mengikuti lima tahapan metode NIJ, yaitu identifikasi, pengumpulan, pemeriksaan, analisis, dan pelaporan. Proses investigasi dilakukan menggunakan perangkat lunak FTK Imager, Autopsy, dan DB Browser for SQLite. Hasil penelitian menunjukkan bahwa pesan yang telah dihapus dapat direkonstruksi, metadata dikembalikan, serta identitas pelaku berhasil ditelusuri. Metode NIJ terbukti efektif dalam menyusun proses investigasi digital yang sistematis dan dapat dipertanggungjawabkan. Penelitian ini memberikan kontribusi terhadap praktik forensik digital dalam menanggapi kasus penyebaran konten ilegal melalui media sosial.Kata kunci : Forensik Digital; Konten Ilegal; Metode NIJ; Cyberbullying; Facebook Messenger; Abstract - The development of social media increases the risk of the distribution of illegal content, such as cases of cyberbullying on Facebook Messenger. This study aims to analyze digital evidence in cases of illegal content distribution using the National Institute of Justice (NIJ) method. The study was conducted using a descriptive qualitative approach based on simulated scenarios and followed the five stages of the NIJ method: identification, collection, examination, analysis, and reporting. The investigation process was conducted using FTK Imager, Autopsy, and DB Browser for SQLite software. The results showed that deleted messages could be reconstructed, metadata recovered, and the perpetrator's identity successfully traced. The NIJ method has proven effective in establishing a systematic and accountable digital investigation process. This research contributes to digital forensic practice in responding to cases of illegal content distribution via social media.Keywords: Digital Forensics; Illegal Content; NIJ Method; Cyberbullying; Facebook Messenger;
PERBANDINGAN METODE MACHINE LEARNING UNTUK PREDIKSI KUNJUNGAN PASIEN PADA RUMAH SAKIT SITTI KHADIDJAH GORONTALO: COMPARISON OF MACHINE LEARNING METHODS FOR PREDICTING PATIENT VISITS AT SITTI KHADIDJAH HOSPITAL GORONTALO Djeden, Mohamad Akmal; Lasarudin, Alter; Hasyim, Wahyudin
Jurnal Sistem Informasi dan Bisnis Cerdas Vol. 19 No. 1 (2026): Februari 2026
Publisher : Program Studi Sistem Informasi, Fakultas Ilmu Komputer, UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The level of patient visits at RSIA Sitti Khadidjah Gorontalo has increased every year as seen from the data from 2020 to 2024. Therefore, researchers will predict the development of patient visits so that they can help RSIA Sitti Khadidjah in providing medical personnel, facilities, and medicines more effectively according to the estimated number of patients. This study aims to apply the Autoregressive Integrated Moving Average (ARIMA) and Neural Network methods in predicting patient visits and to find out the results of predicting patient visits at RSIA Sitti Khadidjah Gorontalo and the results of comparisons using the Autoregressive Integrated Moving Average (ARIMA) and Neural Network methods. The results of this study are the number of data records 60, then the smallest MSE value obtained from the ARIMA algorithm is found in the type of GENERAL Outpatient patient visits with an MSE value of 7.692 and the Neural Network algorithm with the smallest RMSE value is found in PBI Inpatient with an RMSE value of 0.069. Although the evaluation values ​​differ, ARIMA uses MSE while Neural Networks use RMSE. However, considering the smallest MSE and RMSE values, RMSE is superior due to its smaller value. Therefore, the Neural Network algorithm is superior to ARIMA. Keywords: Prediction, Patient Visits, Autoregressive Integrated Moving Average, Neural Network.
Co-Authors Abdul Pattawe Djeden, Mohamad Akmal Furqan, Andi Chairil Gani, Hilmansyah Ingahu, Rapia Yakob Lasarudin, Alter Maku, Rubiyanto Megawati - Mohamad Ilyas Abas Muhammad Din Sulistyawati, Ni Kadek