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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) FIKI 2013 Jurnal Informatika Jurnas Nasional Teknologi dan Sistem Informasi JURNAL AKADEMIKA Fortech : Journal of Information Technology Sebatik Jurnal Ilmiah Media Sisfo Conten : Computer and Network Technology Arcitech: Journal of Computer Science and Artificial Intelligence Akademika Fortech : Journal of Information Technology Computing and Information System Journal Dedikasi Nusantara JUSS (Jurnal Sains dan Sistem Informasi)
Novhirtamely Kahar
Universitas Nurdin Hamzah
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Health Professions

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PENYEDERHANAAN AKSES LAYANAN TEKNOLOGI PADA PERANCANGAN USER INTERFACE (UI) WEBSITE PADEK.IN DENGAN METODE DESIGN THINKING: Design Thinking, User Interface, UI Prototype, Usability Testing, User Experience Kahar, Novhirtamely; Aminuddin, Fattachul Huda; Pratiwi, Eka Melisa
JURNAL AKADEMIKA Vol 18 No 1 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/3gtb4s58

Abstract

In the era of digital transformation, fast and efficient access to technology services has become a primary need for users. However, interface complexity and a lack of focus on user needs often hinder the use of digital platforms. This study aims to apply the Design Thinking method to the user interface (UI) design of the Padek.In website, with a primary focus on simplifying access to technology services and improving the user experience. This approach is based on diverse user needs, field observations, literature studies, and benchmarking against similar competitors. The research process follows five main stages of Design Thinking: (1) Empathize to explore user needs and obstacles, (2) Define to formulate the core problem, (3) Ideate to generate innovative design solutions, (4) Prototype to create a UI prototype, and (5) Test through usability testing with end users. The result of this process is a prototype UI for the Padek.In website with a simple and intuitive navigation structure, accompanied by complete design documentation and a usability test report.
PENERAPAN ALGORITMA K-MEANS CLUSTERING PADA ANALISIS POLA PENDAFTARAN CALON JAMAAH HAJI DI KANTOR WILAYAH KEMENTERIAN AGAMA PROVINSI JAMBI Hikmatul Ilmi; Novhirtamely Kahar
FORTECH (Journal of Information Technology) Vol 10 No 1 (2026): Fortech (Journal Of Information Technology)
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/ewcdte47

Abstract

This study aims to analyze the registration patterns of prospective hajj pilgrims at the Regional Office of the Ministry of Religious Affairs of Jambi Province using the K-Means Clustering algorithm. The main issue addressed is the high volume of hajj applicants each year without adequate pattern analysis, which complicates quota planning and pilgrim guidance. The dataset includes the number of hajj applicants per regency/city from 2018 to 2024, with attributes such as applicant count, age, and gender. The clustering process was carried out using K-Means with k = 3, resulting in three main clusters: high, medium, and low registration rates. The results show that Batanghari Regency and Jambi City belong to the high cluster, while Tebo and Sarolangun are in the low cluster. These findings provide better insights for policymakers in managing hajj quotas and improving outreach strategies.
IMPLEMENTASI DATA MINING METODE NAÏVE BAYES UNTUK PREDIKSI KELAYAKAN PENDONOR DI UDD PMI KOTA JAMBI Novhirtamely Kahar; Besse Eka Mardiana Putri
FORTECH (Journal of Information Technology) Vol 10 No 1 (2026): Fortech (Journal Of Information Technology)
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/a0f3eb75

Abstract

The Blood Donation Unit (UDD) of PMI Kota Jambi plays an important role in maintaining the availability of safe and eligible blood supplies. One of the challenges faced is that the determination of donor eligibility is still carried out manually and relies heavily on medical staff examinations, which may lead to inefficiency and delays in service. Therefore, a predictive model is needed to assist in determining donor eligibility more quickly and objectively.This study aims to apply data mining techniques using the Naïve Bayes algorithm to predict the eligibility of blood donors at UDD PMI Kota Jambi. The data used consist of historical donor records, including attributes such as age, gender, body weight, blood pressure, hemoglobin level, and donor history.
IMPLEMENTASI MACHINE LEARNING METODE FEEDFORWARD NEURAL NETWORK UNTUK REKOMENDASI TANAMAN HIDROPONIK PADA APLIKASI HYDROSMART Kahar, Novhirtamely; Budiarti, Rike Limia; Sepriansyah, Iman
CONTEN : Computer and Network Technology Vol. 6 No. 1 (2026): Juni 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/conten.v6i1.13869

Abstract

Abstrak Penelitian ini bertujuan untuk mengembangkan sistem rekomendasi tanaman hidroponik berbasis Machine Learning menggunakan metode Feedforward Neural Network (FNN) yang diintegrasikan ke dalam aplikasi HydroSmart. Pemilihan jenis tanaman hidroponik yang tepat memerlukan pertimbangan parameter lingkungan yang kompleks meliputi suhu, kelembapan, pH air, luas lahan, dan intensitas cahaya. Data penelitian bersumber dari platform Kaggle yang divalidasi dengan data resmi Dinas Tanaman Pangan, Hortikultura, dan Peternakan (DTPHP) Provinsi Jambi. Metodologi penelitian mencakup tahapan preprocessing data, perancangan arsitektur jaringan, serta pelatihan model menggunakan pustaka TensorFlow. Hasil eksperimen menunjukkan bahwa model FNN mampu mencapai tingkat akurasi sebesar 91,04% pada data latih dan 90,91% pada data uji. Keunggulan metode ini terletak pada kemampuannya mengekstraksi pola non-linear dari variabel lingkungan secara otomatis tanpa intervensi bobot manual. Model akhir dikonversi ke format TensorFlow Lite (.tflite) untuk memastikan performa optimal pada perangkat mobile. Implementasi ini memberikan solusi cerdas bagi petani hidroponik dalam meningkatkan efisiensi budidaya di berbagai kondisi lingkungan.   Kata Kunci: Feedforward Neural Network, Hidroponik, HydroSmart, Machine Learning, TensorFlow   Abstract This research aims to develop a hydroponic plant recommendation system using Machine Learning based on the Feedforward Neural Network (FNN) method for the HydroSmart application. Choosing the right type of hydroponic plant requires consideration of complex environmental parameters including temperature, humidity, water pH, land area, and light intensity. Research data was obtained from the Kaggle platform and validated with official data from the Jambi Province Food Crops, Horticulture, and Livestock Service (DTPHP). The research methodology includes data preprocessing stages, network architecture design, and model training using the TensorFlow library. Experimental results show that the FNN model is able to achieve an accuracy level of 91.04% on training data and 90.91% on test data. The advantage of this method lies in its ability to automatically extract non-linear patterns from environmental variables without manual weight intervention. The final model was converted to TensorFlow Lite (.tflite) format to ensure optimal performance on mobile devices. This implementation provides a smart solution for hydroponic farmers to increase cultivation efficiency in various environmental conditions.   Keywords: Feedforward Neural Network, Hydroponics, HydroSmart, Machine Learning, TensorFlow
Penerapan Data Mining Model Algoritma C4.5 Dan Naïve Bayes Pada Diagnosis Awal Penyakit Hipertensi Novhirtamely Kahar; Gustina Gustina; Widia Widia
JURNAL AKADEMIKA Vol 18 No 2 (2026): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/vrq8e855

Abstract

Hypertension is a global health problem whose prevalence continues to increase, including in Jambi Province. Early detection of hypertension is crucial to prevent serious complications. This study aims to compare the performance of the C4.5 and Naïve Bayes algorithms in the early diagnosis of hypertension using patient data from Simpang Kawat Community Health Center, Jambi. The data used are hypertension patient data consisting of 200 training data and 50 test data with variables such as age, gender, smoking, BMI, cholesterol levels and blood pressure. The research methods include data collection, data cleaning, algorithm implementation using RapidMiner, and performance evaluation based on accuracy, precision, recall, and F1-score. The results show that the Naïve Bayes algorithm achieved the highest accuracy of 90%, precision of 93.48% and recall of 95.56%. Meanwhile, the C4.5 algorithm achieved 86% accuracy, precision of 91.30% and recall of 93.33%. The Naïve Bayes algorithm demonstrated superior performance in predicting hypertension based on the tested data, both on data with independent attributes, and tended to provide stable accuracy results. Meanwhile, the C4.5 algorithm produced an easily understood model due to its systematic and easily explained decision tree structure. The results of this study concluded that the Naïve Bayes algorithm is more effective for the early diagnosis of hypertension.
Implementasi Metode Analytical Hierarchy Process (AHP) Pada Sistem Pendukung Keputusan Pemilihan Security Terbaik Di PT. Adimulio Palmo Junaidi Surya; Novhirtamely Kahar; Rika Angelina; Teuku Djauhari
JURNAL AKADEMIKA Vol 18 No 2 (2026): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/8n7eck64

Abstract

This study discusses the design of a decision support system for selecting the best security guard at PT Adimulio Palmo Lestari using the Analytical Hierarchy Process (AHP) method. The purpose of this study is to assist the company in determining the most suitable security guard based on several criteria, namely discipline, ethics, achievement, experience, and attendance. The calculation process is carried out by comparing each criterion in pairs to obtain priority weights. The results of the study indicate that the decision support system based on the AHP method is able to provide objective and consistent security rankings. Thus, this system is expected to support faster, more precise, transparent, and accurate decision making in the process of selecting the best security guard.
The Application of Forward Chaining and Deterministic Finite Automata in Exposure System of Initial Nerve Disease Diagnosis: - Kahar, Novhirtamely; Budi Lestari, Eka
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 1 No. 2 (2018): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v1i2.5941

Abstract

The latest developments in the medical world use a lot of computers to help early diagnosis, prevention and treatment of a disease. This study aims to build an expert system that is used for the initial diagnosis of neurological diseases, where patients can diagnose themselves based on the symptoms they feel. The expert system method used is forward chaining, while the search flow is with Deterministic Finite Automata (DFA). This application was created using the Delphi 7.0 programming language and SQLYog. The input data are knowledge data, disease data, causes, prevention, and treatment data. The results of the consultation test with this system indicate that the system is able to diagnose neurological diseases as well as provide preventive information and recommendations that must be made based on the symptoms previously selected by the patient. With this system can help patients diagnose earlier than the symptoms of neuropathy experienced. Keywords: Expert System, Neurological Diseases, Forward chaining, Deterministic Finite Automata, Delphi 7.0, SQLYog
Pemanfaatan Sistem Informasi Layanan Pendaftaran Pelanggan Grapari Telkomsel Telanai Jambi Berbasis Web Novhirtamely Kahar -; Sukma Puspitorini; Fattachul Huda Aminuddin; Anjel Brilian Iswandi
Dedikasi Nusantara: Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2025): Transformasi Digital dalam Pelayanan Publik dan Keagamaan
Publisher : IndoCompt Publisher

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

Abstract

Perkembangan teknologi informasi saat ini sangat pesat, namun masih banyak masyarakat yang belum memanfaatkan teknologi tersebut untuk mendukung aktivitas sehari-hari, termasuk dalam pelayanan publik. Proses pendaftaran pelanggan di Grapari Telkomsel Telanai Jambi masih dilakukan secara manual, menyebabkan antrean panjang dan memakan waktu. Tujuan utama kegiatan pengabdian kepada masyarakat ini adalah untuk mengembangkan dan mengimplementasikan sistem informasi layanan pendaftaran pelanggan berbasis web guna meningkatkan efisiensi dan kualitas pelayanan di Grapari Telkomsel Telanai Jambi. Kegiatan ini dilaksanakan dengan metode pengembangan sistem informasi berbasis web, dimulai dari analisis kebutuhan, perancangan sistem, implementasi, hingga pengujian. Sistem dibangun dengan menggunakan XAMPP sebagai server lokal dan PHPMyAdmin untuk manajemen basis data. Hasil dari kegiatan ini adalah sebuah sistem informasi layanan pendaftaran pelanggan berbasis web yang berhasil diimplementasikan. Model persoalan pada sistem ini menghasilkan isi data pelanggan yang telah terdaftar, dapat membantu proses layanan sehingga menghasilkan laporan yang memudahkan pihak Admin Grapari Telkomsel telanai Jambi menggunakannya sehingga aplikasi ini sangat layak digunakan pada masyarakat khususnya pelanggan saat ini. Hasil pengujian sistem aplikasi ini yang diperoleh dari analisis kelayakan dari pengguna melalui kuisioner, menunjukkan bahwa Penggunaan aplikasi ini layak digunakan dengan tingkat kelayakan 95%. Manfaat utama yang diperoleh adalah kemudahan dan kecepatan dalam proses pendaftaran pelanggan, serta mengurangi antrean di Grapari Telkomsel Telanai Jambi. Sistem informasi ini memberikan kontribusi signifikan dalam meningkatkan kualitas pelayanan publik di Grapari Telkomsel Telanai Jambi melalui keterlibatan masyarakat dalam memanfaatkan teknologi untuk proses pendaftaran yang lebih efisien.
PERANCANGAN MODEL 3D RUANG URURSAN AGAMA ISLAM PADA KANTOR WILAYAH KEMENTERIAN AGAMA PROVINSI JAMBI MENGGUNAKAN SKETCHUP UNTUK VISUALISASI ARSITEKTUR Rudi Dwi Rangga; Novhirtamely Kahar
Dedikasi Nusantara: Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2026): Sinergi Inovasi, Digitalisasi, dan Pemberdayaan Masyarakat dalam Mewujudkan Des
Publisher : IndoCompt Publisher

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

Abstract

Kantor Wilayah Kementerian Agama Provinsi Jambi membutuhkan tata ruang kerja yang efisien agar pelayanan administrasi berjalan optimal. Namun, visualisasi dua dimensi belum mampu menghadirkan gambaran ruang yang detail dan realistis. Penelitian ini bertujuan merancang dan memvisualisasikan model 3D Ruang Urusan Agama Islam dengan menggunakan SketchUp dan Enscape. Metode yang digunakan meliputi pengamatan langsung, pengukuran ruangan, pencatatan inventarisasi furniture, pemodelan digital di SketchUp, dan rendering visualisasi menggunakan Enscape. Hasil penelitian menunjukkan tercapainya desain tata letak ruang yang lebih efisien, dokumentasi digital seluruh elemen interior, serta kemudahan evaluasi visual oleh stakeholder sebelum rencana fisik dilaksanakan. Kendala utama yang ditemukan berupa keterbatasan dalam pengukuran manual di area sulit dijangkau, namun secara umum model 3D mampu mempercepat proses revisi desain serta meningkatkan komunikasi antar pihak terkait. Rekomendasi diberikan agar pengukuran digital serta integrasi survei kepuasan diterapkan pada proyek sejenis di masa depan.
Co-Authors -, Tamrinsyah ., Sentia AA Sudharmawan, AA Ahmad Husna Ahadi Aminuddin, Fattachul Huda Anjel Brilian Iswandi Aritonang, Widya Astutui, Reny Wahyuning Ayu Nirmala Sari Bagus Surya K Besse Eka Mardiana Putri Brilian Iswandi, Anjel Budi Lestari, Eka Devrian Rifki Wijaya Dewi Sartika Simatupang Djauhari, Teuku Elvi Yanti Elzas Elzas, Elzas Enjelita, Enjelita Ezrifal Sany Farida Nasution, Renny Fattachul Huda Aminuddin, Fattachul Huda Aminuddin Fidela, Diva FIRMANSYAH, ANDI Gustina Gustina Gustina Halomoan Sihombing, Hanter Hikmatul Ilmi Huda Aminuddin, Fattachul Irfani Kurnia Perdana Irmalena - Istuti , Mona Jayawarsa, A.A. Ketut Junaidi Surya, Junaidi Kartika, Ikah Lailyn Puad, Lailyn Lestari, Megaria Limia Budiarti, Rike Lucy Simorangkir Mubaroq, Fazri Nela Lestari Nisa, Khoirotun Nova Fitri Nurhayati - Pahlevi, M. Roza Prastian Ari Asmoro Pratiwi, Eka Melisa Reni, _ Reny Wahyuning Astuti Reny Wahyuning Astuti, Reny Wahyuning Reny Wahyuning Astutui Reny Wahyuning Astutui Retno Palupi Retno Utari, Arsyna Rika Angelina Rike Limia Budiarti Rike Limia Budiarti, Rike Limia Rudi Dwi Rangga Sentia Sepriansyah, Iman Suana, Irma Sukma Puspitorini Sukma Puspitorini Sukma Puspitorini, Sukma Sukma Puspitorini, Sukma Puspitorini Utari, Arsyna Retno Utomo, Sutrisno Valencia, Desviana Vanessya , Thania Wahyuning Astuti, Reny Waru, Daka Wati, Risma Widia Widia Widiantara, Ary Widiantara, Ary Yudi Branata, Fajar _ Reni _ Reni