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All Journal JURNAL SISTEM INFORMASI BISNIS AKADEMIKA Jurnal Nasional Komputasi dan Teknologi Informasi JSAI (Journal Scientific and Applied Informatics) Specta Journal of Technology Journal of Computer System and Informatics (JoSYC) Jurnal Sibermas (Sinergi Pemberdayaan Masyarakat) KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) Jurnal Ilmu Komputer Riau Jurnal Teknik Informatika Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Jurnal Nasional Komputasi dan Teknologi Informasi
Gani, Hilmansyah
Universitas Muhammadiyah Gorontalo
Aerospace Engineering 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 Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Neuroscience Public Health Social Sciences Transportation Other

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Analisis Forensik Digital pada Kasus Penyebaran Konten Ilegal Menggunakan Metode National Intitute of Justice (NIJ) Rapia Yakob Ingahu; Wahyudin Hasyim; Hilmansyah Gani
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;
Sistem Informasi Penjadwalan Daftar Acara Siaran pada Radio Republik Indonesia Gorontalo Berbasis Web Dian Lestari R; Wahyudin Hasyim; Hilmansyah Gani
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 2 (2026): April, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/fe1db320

Abstract

Abstrak - Penelitian ini dilakukan di Radio Republik Indonesia (RRI) Gorontalo, yang bertujuan untuk Membangun sistem informasi penjadwalan daftar acara siaran. Radio Republik Indonesia (RRI) Gorontalo masih menerapkan metode manual menggunakan Microsoft Excel dalam penyusunan jadwal siaran, yang sering menimbulkan berbagai kendala seperti keterlambatan penyampaian informasi, kesalahan dalam pencatatan, serta kurang efisien ketika terjadi perubahan jadwal secara tiba-tiba. Berdasarkan permasalahan tersebut, penelitian ini dilakukan untuk merancang dan membangun sistem informasi penjadwalan acara siaran berbasis web agar proses pengelolaan menjadi lebih cepat, terintegrasi, dan mudah diakses oleh pihak yang berkepentingan. Metode pengembangan sistem yang digunakan adalah Prototype dengan memanfaatkan bahasa pemrograman PHP, framework Laravel, dan MySQL sebagai basis data. Pemodelan sistem dibuat menggunakan Unified Modeling Language (UML), dan pengujian dilakukan dengan pendekatan Black Box Testing. Hasil penelitian menunjukkan bahwa sistem yang dihasilkan mampu mempermudah proses administrasi jadwal siaran, mempercepat pembaruan data, serta meminimalkan kesalahan manusia. Implementasi sistem ini memungkinkan penyajian informasi jadwal secara real-time dan lebih terorganisir, sehingga berkontribusi pada peningkatan kualitas layanan penyiaran di RRI Gorontalo. Kata kunci : Sistem Informasi Penjadwalan Siaran; Web; RRI Gorontalo; Prototype; Laravel; Abstract - This research was conducted at Radio Republik Indonesia (RRI) Gorontalo, aiming to develop a broadcast scheduling information system. RRI Gorontalo still employs manual methods using Microsoft Excel to prepare broadcast schedules, which often lead to various challenges such as delays in information delivery, errors in recording, and inefficiency when sudden schedule changes occur. Based on these challenges, this research aimed to design and build a web-based broadcast scheduling information system to accelerate the management process, integrate it, and make it more accessible to stakeholders. The system development method used was a prototype, utilizing the PHP programming language, the Laravel framework, and MySQL as the database. The system was modeled using Unified Modeling Language (UML), and testing was conducted using a black-box testing approach. The results showed that the resulting system streamlined the broadcast schedule administration process, accelerated data updates, and minimized human error. Implementation of this system enabled the presentation of schedule information in real time and in a more organized manner, thus contributing to improving the quality of broadcasting services at RRI Gorontalo. Keywords: Information System; Broadcast Scheduling Web; RRI Gorontalo Prototype; Laravel;
Sistem Informasi Inventaris Barang Berbasis Web pada Satker Bid TIK Polda Gorontalo Desi A Yusuf; Wahyudin Hasyim; Hilmansyah Gani; Frangky Tupamahu
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4709

Abstract

Inventory management is an important activity in supporting the operational performance of an organization. At the Information and Communication Technology Division (Bid TIK) of the Gorontalo Regional Police, inventory management is still carried out manually using spreadsheets, resulting in several problems such as recording errors, data duplication, difficulties in retrieving item information, and delays in report preparation. This study aims to design and develop a web-based Inventory Information System (SIMBAR) to improve the effectiveness and efficiency of inventory management. The system was developed using the Waterfall method, which consists of requirements analysis, system design, implementation, testing, and maintenance stages. PHP was used as the programming language, while MySQL served as the database management system. The developed system provides features for inventory data management, incoming and outgoing goods transactions, asset borrowing and returning, stock monitoring, and inventory reporting. System testing was conducted using the Black Box Testing method to ensure that all system functions operated according to user requirements. The testing results showed that all system modules achieved a valid status based on Black Box Testing. The results of this study indicate that the system improves the accuracy of inventory data management, accelerates data recording and retrieval processes, facilitates real-time stock monitoring, and speeds up inventory report generation. Therefore, the developed system can support a more effective, efficient, and integrated inventory management process at the Information and Communication Technology Division (Bid TIK) of the Gorontalo Regional Police.
Sistem Pendukung Keputusan Reward Penyidik Terbaik Berbasis Web Menggunakan AHP-SAW Ivone Djafar; Hilmansyah Gani; Alter Lasarudin; Wahyudin Hasyim
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4710

Abstract

The investigator reward process at the Narcotics Investigation Directorate of Gorontalo Regional Police is still conducted manually, making it prone to subjectivity, inconsistency, and time-consuming evaluations. This study aims to develop a web-based Decision Support System (DSS) for selecting the best investigator using the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. The system was developed using the Rapid Application Development (RAD) approach and evaluated 20 investigator alternatives based on five criteria: Electronic Management of Investigators (EMP), Case Resolution, Discipline, Integrity, and Teamwork. The AHP method was applied to determine the priority weights of the evaluation criteria, while the SAW method was used to calculate preference values and rank the alternatives. The results show that Electronic Management of Investigators (EMP) is the most influential criterion with a weight of 41.62%, while alternative A2 achieved the highest preference value of 0.8923, making it the recommended best investigator. The developed system successfully automates the weighting, ranking, and reporting processes, thereby supporting a more objective, transparent, and measurable decision-making process. The novelty of this study lies in the development of a web-based DSS that integrates administrative and behavioral performance indicators into a single evaluation model for investigator reward selection, providing a more comprehensive assessment than conventional evaluation approaches.
Analisis Pelanggaran Disiplin dan Kode Etik Anggota Polri Menggunakan Decision Tree C4.5 Fahriyadi Purnama Thaib; Frangky Tupamahu; Alter Lasarudin; Hilmansyah Gani
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4711

Abstract

Disciplinary and ethical violations committed by police officers can affect organizational professionalism and reduce public trust in law enforcement institutions. The management of violation records at Polresta Gorontalo Kota remains largely administrative, making it difficult to identify violation patterns and support data-driven decision-making. This study aims to analyze disciplinary and ethical violation data using the Decision Tree C4.5 algorithm to develop a classification model and decision rules. The dataset consists of police disciplinary and ethical violation records collected between 2022 and 2026. The results indicate that the violation category attribute serves as the root node of the decision tree, with the highest Gain Ratio value of 0.694. The resulting model successfully classifies violations into three sanction levels—minor, moderate, and severe—while generating interpretable decision rules. Model evaluation using a confusion matrix achieved an accuracy of 70.8%. The findings demonstrate that the C4.5 algorithm is capable of identifying patterns between violation types and sanction levels, indicating its potential as a decision-support tool for managing disciplinary and ethical violations within the Indonesian National Police.
Usability Sistem Informasi Aparatur Sipil Negara (SIASN) Menggunakan Metode System Usability Scale (SUS) pada BKPSDM Kabupaten Gorontalo Arifin Ahudulu; Alter Lasarudin; Frangky Tupamahu; Hilmansyah Gani
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4713

Abstract

The acceleration of digital transformation in the public sector requires reliable personnel information systems to support efficient and integrated administrative services. The State Civil Apparatus Information System (SIASN) serves as a national platform for managing personnel data and administrative processes of civil servants in Indonesia. However, its implementation at the Regional Civil Service and Human Resource Development Agency (BKPSDM) of Gorontalo Regency still faces several technical and usability-related challenges that may affect user experience and service effectiveness. This study aims to identify user constraints, measure the usability level of SIASN, and provide recommendations for system improvement. A quantitative descriptive approach was employed through data collection using questionnaires, in-depth interviews, and field observations. The study involved 30 active SIASN users, and usability data were analyzed using the System Usability Scale (SUS) instrument. The results indicate that the main obstacles experienced by users include data storage failures, slow system access during peak hours, data updates that have not taken place in real-time, complexity of menu navigation, and limitations of account recovery features. The results of the usability measurement resulted in an average SUS score of 76.4 which is included in the Good category with an Acceptable acceptance rate. These findings show that SIASN is able to support personnel administration activities well and is accepted by users. However, improving the quality of the system is still necessary through optimizing server performance, simplifying the user interface, synchronizing data in real-time, and developing a password reset feature independently. The results of this research are expected to be evaluation materials for developers to improve the quality of digital-based personnel services.
Klasifikasi Pegawai Terbaik Triwulan pada BPS Provinsi Gorontalo Menggunakan Algoritma Naïve Bayes Hanna Fidri Mardiny; Frangky Tupamahu; Hilmansyah Gani; Khairul Fathan Habie
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4714

Abstract

The selection of the best employee is an important performance evaluation process aimed at improving employee motivation and productivity. At the Statistics Indonesia (BPS) of Gorontalo Province, the selection process still involves subjective considerations, which may affect the consistency and objectivity of decision-making. Therefore, a data-driven approach is needed to support the evaluation process. This study aimed to implement the Naïve Bayes algorithm to classify the best quarterly employee based on employee performance assessment data. The dataset consisted of performance records from 54 employees of BPS Gorontalo Province collected from the first quarter of 2023 to the fourth quarter of 2024. The classification process utilized BerAKHLAK behavioral indicators, discipline indicators, and Employee Performance Achievement (CKP) as predictor variables, while the target variable was employee status, namely best employee and non-best employee. The research stages included data preparation, data transformation, training and testing data partitioning, model development using the Naïve Bayes algorithm, and model evaluation using a confusion matrix with accuracy, precision, recall, and F1-score metrics. The evaluation results showed that the proposed model achieved an accuracy, precision, recall, and F1-score of 100%, indicating high classification performance on the dataset used in this study. These findings demonstrate that the Naïve Bayes algorithm is effective in classifying employee performance and can be utilized as a decision-support tool for determining the best quarterly employee. The implementation of this method is expected to enhance the objectivity, consistency, and transparency of employee performance evaluation at Statistics Indonesia (BPS) of Gorontalo Province.
PENERAPAN METODE MULTI OBJECTIVE OPTIMIZATION ON THE BASIC OF RATIO ANALYSIS (MOORA) UNTUK PEMILIHAN PENERIMA BANTUAN LANGSUNG TUNAI DI DESA ILOMANGGA Handayani, Tri Pratiwi; Pratiwi I Wantu; Irawan Ibrahim; Hilmansyah Gani
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 3 No. 2 (2023): Juli: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v3i2.1724

Abstract

Penelitian ini bertujuan untuk mengimplementasikan algoritma Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) sebagai Pendukung Keputusan dalam memilih penerima Bantuan Tunai Langsung di Desa Ilomangga, Gorontalo. Dengan dataset sebanyak 169 calon penerima, penelitian ini berfokus pada pengembangan pendekatan yang efisien untuk membantu kepala desa dalam proses pemilihan penerima manfaat. Dengan menggabungkan optimisasi multi-obyektif dan analisis rasio, algoritma MOORA secara objektif mengevaluasi dan mengurutkan penerima berdasarkan kelayakan dan kesesuaian. Temuan penelitian ini menunjukkan efektivitas MOORA dalam menyederhanakan proses seleksi, memastikan transparansi, dan mengoptimalkan alokasi sumber daya bagi mereka yang paling membutuhkan. Penelitian ini memberikan kontribusi pada sistem pendukung keputusan dengan memperlihatkan implementasi praktis MOORA.
Enhancing Multi-Label Hate Speech and Abusive Language Detection on Indonesian Twitter Using Recurrent Neural Networks with Hyperparameter Tuning Handayani, Tri Pratiwi; Hilmansyah Gani
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 3 No. 3 (2023): November: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v3i3.3022

Abstract

This study investigates enhancing multi-label hate speech and abusive language detection on Indonesian Twitter using Recurrent Neural Networks (RNNs) with hyperparameter tuning. A dataset of Indonesian tweets labeled for various hate speech and abusive language categories was preprocessed through text cleaning, tokenization, and sequence padding. A baseline RNN model was initially constructed and evaluated. Hyperparameter tuning was then performed using Keras Tuner to optimize performance. The best hyperparameters identified were an embedding dimension of 32, 32 LSTM units, and a dropout rate of 0.2. The tuned model was trained and compared with the baseline. Results indicated improved precision for labels like Abusive, HS_Group, HS_Moderate, and HS_Strong, but a decline in recall and F1-scores for labels like HS_Religion and HS_Race. Overall performance metrics showed a slight decline, highlighting trade-offs in the tuning process. In conclusion, while hyperparameter tuning can enhance certain performance aspects, it also introduces complexities and trade-offs. It is recommended to use hyperparameter tuning in model optimization with careful consideration of application requirements. Further research will explore different model architectures and additional tuning strategies for better overall performance.
Rancang Bangun Aplikasi Formularium Rumah Sakit Ibu Anak Sitti Khadijah Gorontalo Menggunakan Progressive Web App N Dian Hidayat Rahmola; Hilmansyah Gani; Alter Lasarudin

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Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.10405

Abstract

Abstrak - Pengelolaan formularium secara manual di Rumah Sakit Ibu dan Anak (RSIA) Sitti Khadijah Gorontalo menggunakan buku fisik menghadapi berbagai kendala, seperti proses pembaruan yang lambat, risiko kesalahan pencatatan, kesulitan akses informasi cepat, serta ketidakmampuan integrasi dengan sistem digital. Penelitian ini bertujuan merancang dan membangun aplikasi formularium berbasis Progressive Web App (PWA) untuk mengatasi permasalahan tersebut, guna meningkatkan efisiensi akses data obat dan akurasi informasi bagi tenaga medis. Metode pengembangan sistem menggunakan model Waterfall dengan tahapan analisis kebutuhan melalui observasi dan wawancara, perancangan sistem menggunakan diagram UML (Activity Diagram, Sequence Diagram) dan ERD, implementasi dengan PHP (Laravel), MySQL, dan teknologi PWA, serta pengujian melalui black box testing. Hasil penelitian berupa aplikasi PWA yang menyediakan fitur pencarian obat, kalkulator medis (BMI, APGAR Score, Glasgow Coma Scale), manajemen data obat dan penyakit, serta pengelolaan pengguna. Aplikasi ini terbukti mempercepat akses informasi obat dan memudahkan pembaruan data secara real-time, dan dapat diakses lintas platform (desktop/mobile) tanpa instalasi dari toko aplikasi.Kata kunci : Formularium Rumah Sakit; Progressive Web App; Aplikasi Kesehatan; Abstract – Manual formulary management at Sitti Khadijah Gorontalo Mother and Child Hospital (RSIA) using physical books faces various obstacles, such as slow updating processes, the risk of recording errors, difficulty in accessing information quickly, and the inability to integrate with digital systems. This study aims to design and develop a Progressive Web App (PWA)-based formulary application to address these issues, thereby improving the efficiency of drug data access and the accuracy of information for medical personnel. The system development method used the Waterfall model with stages of needs analysis through observation and interviews, system design using UML diagrams (Activity Diagram, Sequence Diagram) and ERD, implementation with PHP (Laravel), MySQL, and PWA technology, and testing through black box testing. The results of this study are a PWA application that provides drug search features, medical calculators (BMI, APGAR Score, Glasgow Coma Scale), drug and disease data management, and user management. This application has been proven to speed up access to drug information and facilitate real-time data updates, and can be accessed across platforms (desktop/mobile) without installation from an app store.Keywords: Hospital Formulary; Progressive Web App; Health Application;
Co-Authors Abas Kaluku Alfian Zakaria Alter Lasarudin Arifin Ahudulu Arip Mulyanto Desi A Yusuf Dian Lestari R Dian Novian Edi Setiawan Fahriyadi Purnama Thaib Frangky Tapamahu Frangky Tupamahu Habie, Khairul Fathan Handayani, Tri Pratiwi Hanna Fidri Mardiny Hendra Agus Ibrahim, Irawan Indhitya R Padiku Ivone Djafar Lanto Ningrayati Amali Maliki, Ona Manda Rohandi Misran Tomayahu Moh Ramdhan Arif Kaluku Moh. Hidayat Koniyo Moh. Nasrul Arief Setiawan Adam Mohamad Ilyas Abas Muchlis Polin N Dian Hidayat Rahmola Nikmasari Pakaya Nunu Fadna Adam Pratiwi I Wantu Pratiwi I Wantu Rahmad Ishak Rahman Takdir Rapia Yakob Ingahu Renata H. Salalu Rizal Lamusu Salahudin Olii Stevie Eka Putri Lamato Suseno, Jatmiko Indro Tri Pratiwi Handayani Tri Pratiwi Handayani Wah Ha Wahyudin Hasyim Yulan Humolungo yulanda yunus Yulanda Yunus Yunus, Yulanda Yusuf Lalu