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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Informatika Teknologi dan Sains (Jinteks) Malcom: Indonesian Journal of Machine Learning and Computer Science
Gutama, Deden Hardan
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Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Neuroscience Transportation

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Implementasi Metode Deep Neural Network pada Klasifikasi Penyakit Diabetes Melitus Tipe 2: Implementation of Deep Neural Network Method on Classification of Type 2 Diabetes Mellitus Disease Rizky, Muhammad; Pramuntadi, Andri; Prastowo, Wahit Desta; Gutama, Deden Hardan
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 3 (2024): MALCOM July 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i3.1279

Abstract

Penyakit diabetes mellitus ditandai oleh tingginya kadar gula dalam darah, juga dikenal sebagai glukosa, sebagai akibat dari kurangnya atau ketidakmampuan tubuh untuk menggunakan insulin secara efisien. Pada tahun 2021, Federasi Diabetes Internasional (IDF) melaporkan bahwa lima negara memiliki jumlah penderita diabetes mellitus terbanyak di kelompok usia 20 hingga 79 tahun. Dengan 19,5 juta orang yang menderita, Indonesia menempati peringkat kedua. Berbagai upaya telah dilakukan untuk menghentikan perkembangan penyakit ini. Salah satunya adalah penelitian yang menggunakan metode klasifikasi Deep Neural Network (DNN) untuk memprediksi risiko seseorang. Menggunakan dataset dari Puskesmas Mergangsan di Kota Yogyakarta, Provinsi DIY, penelitian ini menggunakan sepuluh variabel: jenis kelamin, merokok, berat badan, tinggi badan, Indeks Massa Tubuh (IMT), hipertensi, usia, aktivitas fisik, konsumsi alkohol, dan riwayat penyakit tidak menular. Parameter DNN seperti jumlah lapisan, jumlah neuron, fungsi aktivasi, tingkat pembelajaran, ukuran batch, berat, optimizer, fungsi kehilangan, epoch, dan bias digunakan untuk membangun model prediksi. Metode K 10-fold CV digunakan untuk mempartisi data pelatihan dan uji untuk membuat model prediksi. Hasilnya mencapai 90 persen, 85 persen, 95 persen, dan 89 persen masing-masing dengan menggunakan skor f1, akurasi, presisi, dan recall.
Implementasi Sistem E-Arsip Berbasis Website (Studi Kasus : Program Studi Informatika Universitas Alma Ata) Amalia, Ade; Danianti, Dita; Wijaya, Dhina Puspasari; Gutama, Deden Hardan
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 5 (2024): Oktober 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i5.8117

Abstract

Abstrak - Pengelolaan arsip yang efektif dan efisien merupakan kebutuhan penting dalam lembaga pendidikan untuk memastikan akses yang cepat dan aman terhadap dokumen-dokumen penting. Program Studi Informatika Universitas Alma Ata saat ini menggunakan Google Drive sebagai media penyimpanan arsip, namun kurangnya integrasi data antar divisi menyebabkan beberapa kendala dalam pengelolaan dokumen. Penelitian ini bertujuan untuk mengimplementasikan sistem e-arsip berbasis website yang dapat membantu pengelolaan arsip dengan lebih baik, terorganisir, serta memudahkan pencarian dan berbagi dokumen antar divisi di Program Studi Informatika. Sistem ini dikembangkan menggunakan metode waterfall, dengan PHP sebagai bahasa pemrograman, MySQL sebagai basis data dan antarmuka pengguna yang dirancang menggunakan framework CodeIgniter. Fitur utama dari sistem ini meliputi pengunggahan, pengeditan, pencarian, dan pengunduhan dokumen secara terintegrasi. Hasil implementasi menunjukkan bahwa sistem ini berhasil mempermudah pengelolaan dokumen, meningkatkan integrasi data antar divisi, serta mendukung kelancaran dan transparansi dalam proses pengarsipan. Pengujian dengan metode black-box testing mengonfirmasi bahwa sistem ini berfungsi sesuai dengan kebutuhan pengguna.Kata kunci : Pengelolaan Arsip, E-Arsip, Integrasi Data, Program Studi Informatika, Website, Metode Waterfall, PHP, MySQL, CodeIgniter, black-box testing. Abstract  - Effective and efficient archive management is a crucial need in educational institutions to ensure quick and secure access to important documents. The Informatics Study Program at Universitas Alma Ata currently uses Google Drive as its archive storage medium, but the lack of data integration between divisions has caused several challenges in document management. This research aims to implement a web-based e-archive system that can help improve archive management, making it more organized, as well as facilitating document search and sharing between divisions in the Informatics Study Program. The system is developed using the waterfall method, with PHP as the programming language, MySQL as the database, and a user interface designed using the CodeIgniter framework. The main features of this system include document uploading, editing, searching, and downloading in an integrated manner. The implementation results show that this system successfully simplifies document management, improves data integration between divisions, and supports smooth and transparent archiving processes. Testing using the black-box method confirms that the system functions according to user requirements.Keywords: Archive Management, E-Archive, Data Integration, Informatics Study Program, Website, Waterfall Method, PHP, MySQL, CodeIgniter, Black-box Testing
Implementasi Metode Content Based Filtering pada Pengembangan Sistem Bursa Kerja Khusus (BKK) SMK Negeri 1 Kandeman Berbasis Website Anam, Khoirul; Gutama, Deden Hardan; Danianti, Dita; Prastowo, Wahit Desta
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 4 (2024): Agustus 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i4.7818

Abstract

Abstrak— Kebutuhan akan sistem informasi yang efisien dan efektif semakin meningkat, termasuk dalam bidang pencarian kerja. Penelitian ini bertujuan untuk mengembangkan sistem Bursa Kerja Khusus (BKK) berbasis website di SMK Negeri 1 Kandeman dengan menerapkan metode Content Based Filtering. Metode ini digunakan untuk merekomendasikan lowongan pekerjaan kepada pengguna berdasarkan kesesuaian profil dan preferensi mereka dengan pekerjaan yang tersedia. Sistem ini dirancang menggunakan bahasa pemrograman PHP dan MySQL sebagai basis data. Dalam implementasinya, metode Content Based Filtering bekerja dengan menganalisis deskripsi pekerjaan dan data pengguna, seperti jurusan, skill, dan kota untuk menghasilkan rekomendasi pekerjaan yang relevan. Uji coba sistem dilakukan dengan melibatkan sejumlah pengguna untuk mengevaluasi keefektifan dan akurasi rekomendasi yang dihasilkan. Hasil penelitian menunjukkan bahwa sistem BKK berbasis website ini mampu memberikan rekomendasi pekerjaan yang sesuai dengan profil pengguna, sehingga meningkatkan efisiensi dalam proses pencarian kerja. Dengan demikian, diharapkan sistem ini dapat menjadi solusi yang efektif bagi siswa dan alumni SMK Negeri 1 Kandeman dalam mencari pekerjaan yang sesuai dengan keahlian dan minat mereka.Kata kunci: Bursa Kerja Khusus (BKK), Content Based Filtering, Sistem Informasi, Rekomendasi Pekerjaan, SMK Negeri 1 Kandeman, Website, PHP, MySQL, Profil Pengguna. Abstract — The need for efficient and effective information systems is increasing, including in the field of job search. This research aims to develop a website-based Special Job Exchange (BKK) system at SMK Negeri 1 Kandeman by applying the Content Based Filtering method. This method is used to recommend job vacancies to users based on the suitability of their profiles and preferences with available jobs. The system is designed using PHP programming language and MySQL as the database. In its implementation, the Content Based Filtering method works by analysing job descriptions and user data, such as majors, skills, and cities to generate relevant job recommendations. System trials were conducted involving a number of users to evaluate the effectiveness and accuracy of the recommendations generated. The results show that this web-based BKK system is able to provide job recommendations that match the user's profile, thus increasing efficiency in the job search process. Thus, it is expected that this system can be an effective solution for students and alumni of SMK Negeri 1 Kandeman in finding jobs that match their expertise and interests.Keywords: Bursa Kerja Khusus (BKK), Content Based Filtering, Information System, Job Recommendation, SMK Negeri 1 Kandeman, Website, PHP, MySQL, User Profile.
Sistem Monitoring Tumbuh Kembang Balita (Studi Kasus : Puskesmas Mertoyudan II) Darmawan, Yogi Dwiki; Gutama, Deden Hardan; Danianti, Dita; Prastowo, Wahit Desta
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 6 (2024): Desember 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i6.8116

Abstract

Abstrak - Peran orang tua dalam perawatan sehari-hari balita, terutama dalam hal pemantauan dan pemberian makanan, sangat krusial. Namun, studi kasus di Puskesmas Mertoyudan II menunjukkan adanya kendala dalam pemantauan tumbuh kembang balita akibat keterbatasan waktu orang tua dan kurangnya informasi mengenai pentingnya pemantauan ini. Akibatnya, pemantauan tumbuh kembang sering kali tidak optimal, yang meningkatkan risiko masalah serius seperti stunting, yaitu kondisi gagal tumbuh akibat kurangnya asupan gizi yang memadai. Penelitian ini bertujuan mengi  mplementasikan metode Fuzzy Logic Tsukamoto pada Sistem Monitoring dan Rekomendasi Makanan Sehat Bagi Tumbuh Kembang Balita untuk membantu mempermudah proses pemantauan. Fitur-fitur yang dihadirkan meliputi rekam medis, rekomendasi makanan berbasis Fuzzy Logic Tsukamoto, jadwal imunisasi, dan riwayat rekomendasi makanan, yang diharapkan dapat membantu orang tua dan petugas kesehatan dalam melakukan pemantauan yang lebih efektif. Hasil penelitian menunjukkan bahwa sistem ini berhasil mempermudah proses pengawasan tumbuh kembang balita serta memberikan rekomendasi makanan yang tepat, sehingga dapat mencegah terjadinya stunting. Sistem juga memudahkan akses informasi bagi semua pihak yang berkepentingan, mengurangi risiko kesalahan dalam pemilihan nutrisi, dan meningkatkan efektivitas pemantauan kesehatan balita di lingkungan puskesmas.Kata kunci: Sistem Monitoring, Tumbuh Kembang Balita, Fuzzy Logic Tsukamoto, Stunting, Puskesmas, Peran Orang Tua. Abstract - The role of parents in the daily care of toddlers, especially in terms of monitoring and providing food, is very crucial. However, a case study at the Mertoyudan II Community Health Center shows that there are obstacles in monitoring the growth and development of toddlers due to parents' limited time and lack of information regarding the importance of this monitoring. As a result, growth and development monitoring is often not optimal, which increases the risk of serious problems such as stunting, which is a condition of failure to grow due to a lack of adequate nutritional intake. This research aims to implement Tsukamoto's Fuzzy Logic method in the Healthy Food Monitoring and Recommendation System for Toddler Growth and Development to help simplify the monitoring process. The features presented include medical records, Fuzzy Logic Tsukamoto-based food recommendations, immunization schedules, and history of food recommendations, which are expected to help parents and health workers carry out more effective monitoring. The research results show that this system has succeeded in simplifying the process of monitoring the growth and development of toddlers and providing appropriate food recommendations, thereby preventing stunting. The system also makes it easier to access information for all interested parties, reduces the risk of errors in nutritional selection, and increases the effectiveness of monitoring children's health in the health center environment.Keywords: Monitoring System, Toddler Growth and Development, Tsukamoto Fuzzy Logic, Stunting, Health Center, Parents' Role.
Sistem Pendukung Keputusan Lansia Berdasarkan Prioritas Pelayanan dalam Upaya Mengoptimalkan Posyandu Lansia Menggunakan Metode K-Means (Studi Kasus : Dusun Jetis Kelurahan Sendangsari) Rusmiyati, Ratih; Pramuntadi, Andri; Danianti, Dita; Gutama, Deden Hardan
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 6 (2024): Desember 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i6.8250

Abstract

Abstrak - Penelitian ini bertujuan untuk mengembangkan sistem pendukung keputusan yang mengoptimalkan pelayanan posyandu lansia melalui penerapan metode K-Means Clustering. Sistem ini dirancang untuk mengklasifikasikan data lansia berdasarkan prioritas pelayanan, yakni lansia prioritas yang memerlukan kunjungan posyandu langsung ke rumah, dan lansia non-prioritas yang dapat datang ke posyandu secara mandiri. Metode K-Means digunakan untuk mengelompokkan lansia ke dalam dua klaster utama berdasarkan beberapa parameter. Proses pengembangan sistem melibatkan pengumpulan data lansia dari Dusun Jetis, Kelurahan Sendangsari, Kecamatan Pajangan, Kabupaten Bantul. Setelah itu, data tersebut diolah menggunakan metode K-Means untuk menentukan klasterisasi lansia. Hasil pengujian menunjukkan bahwa sistem berhasil mengelompokkan lansia dengan akurasi yang memadai, sehingga memudahkan kader posyandu dalam menentukan lansia yang harus diprioritaskan untuk pelayanan rumah. Sistem pendukung keputusan ini diimplementasikan dalam platform berbasis web untuk mempermudah akses dan penggunaan oleh kader posyandu. Dengan adanya sistem ini, diharapkan pelayanan posyandu lansia dapat lebih efisien dan terarah sesuai dengan kondisi kesehatan lansia di wilayah tersebut. Kata kunci: Sistem Pendukung Keputusan, Posyandu Lansia, K-Means Clustering, Prioritas Pelayanan, Clustering Data. Abstract - This research aims to develop a decision support system that optimizes elderly healthcare services at community health posts (Posyandu Lansia) through the application of the K-Means Clustering method. The system is designed to classify elderly data based on service priority, identifying priority elders who require home visits and non-priority elders who can independently attend the Posyandu. The K-Means method is utilized to group the elderly into two primary clusters based on multiple parameters. The system development process involved collecting elderly data from Jetis Hamlet, Sendangsari Village, Pajangan District, Bantul Regency. This data was then processed using the K-Means method to determine the elderly clustering. Testing results indicate that the system effectively clusters the elderly with satisfactory accuracy, assisting Posyandu workers in identifying elderly individuals who should be prioritized for home-based services. This decision support system is implemented on a web-based platform to improve accessibility and ease of use for Posyandu staff. With this system in place, it is anticipated that elderly healthcare services will become more efficient and targeted according to the health conditions of the elderly in the area. Keywords: Decision Support System, Elderly Posyandu, K-Means Clustering, Service Priority, Data Clustering
RANCANG BANGUN SISTEM PEMESANAN JASA FOTOGRAFI DAN VIDEOGRAFI BERBASIS WEBSITE Riskiah, Putri Maulidatur; Wijaya, Dhina Puspasari; Gutama, Deden Hardan; Pramuntadi, Andri
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 2 (2025): EDISI 24
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i2.5320

Abstract

Clicks Studio, penyedia layanan fotografi dan videografi di Malang, menghadapi kendala dalam proses pemesanan yang masih dilakukan secara manual, pencatatan data yang belum optimal, serta kurangnya sistem informasi yang terstruktur untuk mengelola pelanggan. Penelitian ini bertujuan untuk merancang dan membangun sistem pemesanan jasa fotografi dan videografi berbasis website guna meningkatkan efisiensi dalam proses pemesanan, memberikan kemudahan kepada pelanggan dalam mengakses layanan, menyediakan fitur pembayaran yang lebih praktis serta mendukung pengelolaan data dan operasional studio secara lebih terorganisir. Metode pengembangan sistem yang digunakan adalah Waterfall, yang meliputi tahapan analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan. Hasil penelitian menunjukkan bahwa sistem berbasis website ini dapat meminimalisir kesalahan pemesanan, mempercepat pengelolaan data pelanggan, serta meningkatkan kepercayaan dan kepuasan pelanggan. Implementasi sistem ini diharapkan dapat mendukung transformasi digital dalam industri fotografi dan videografi, khususnya di Kota Malang.
Klasifikasi Menggunakan Metode Random Forest untuk Awal Deteksi Diabetes Melitus Tipe 2 Iskandar, Reza Fauzan Nur; Gutama, Deden Hardan; Wijaya, Dhina Puspasari; Danianti, Dita
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 3 (2024): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i3.26916

Abstract

Type 2 diabetes mellitus (T2DM) is a chronic disease with increasing prevalence. Early detection of DMTP2 is crucial in managing and preventing this disease. In this study, we propose the use of Random Forest method for early classification of T2DM based on risk factors. The dataset was obtained from UPTD Puskesmas Jatiroto with a total of 1111 data with 6 attributes of DMTP2 factors and 1 label. In the pre-processing stage, initial data processing includes cleaning missing values, feature engineering, and separation of training and test data. Next, the Random Forest model is trained using data that has been validated using K-Fold Cross Validation. Experimental results show that the proposed model produces an average accuracy of each fold of 97%. The final stage of evaluating the model by calculating precission, recall, and F1-Score, respectively, obtained results of 95%, 97%, and 96%. Model evaluation focuses on predicted labels so that the model can predict well in the case of DMTP2 problems based on similar data configurations.
Sistem Informasi Perpustakaan Menggunakan Algoritma Pencarian Knuth Morris Paratt (KMP) dalam Pencarian Judul Buku (Studi Kasus: Perpustakaan Universitas Alma Ata) Sumanto, Sumanto; Gutama, Deden Hardan; Wijaya, Dhina Puspasari; Pramuntadi, Andri
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 3 (2024): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i3.31229

Abstract

This research aims to develop an Online Public Access Catalog (OPAC) website at the Alma Ata University library using the Knuth Morris Pratt (KMP) algorithm as the book title search method. The research method used is quantitative, with a focus on understanding the user interaction with the developed OPAC website. Data is collected through testing to evaluate user interactions with the website. The testing is conducted to evaluate the effectiveness and quality of user interactions with the website, with the test results analyzed qualitatively to understand the performance and user satisfaction with the OPAC module. The contribution of this research lies in the development of library information systems, especially in improving accessibility and effectiveness of book title searches for users. It is hoped that by using the Knuth Morris Pratt (KMP) algorithm, the OPAC module website can provide accurate search results and enhance the user experience in searching for books at the Alma Ata University library in Yogyakarta
Implementasi Algoritma Topsis pada Decision Support System Pemilihan Perguruan Tinggi Swasta Program Studi Informatika/Teknik Informatika Widodo, Sri; Gutama, Deden Hardan; Wijaya, Dhina Puspasari; Prastowo, Wahit Desta
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 3 (2024): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i3.31295

Abstract

PDDIKTI noted that the number of new students in Indonesia has continued to increase since the academic year 2016/2017. The increase in the number of new students every year proves that the level of public awareness of the importance of education is increasing. On this basis, the author initiated the design of a system that could be used by prospective new students or students who have completed in Higher Secondary School educators and their equivalents. The system the author designed is a Decision Support System by implementing topsis algorithms on its calculations. The result of this research is a system of decision support for the selection of PTS specialized program of study in Informatics/Technology.
Sistem Pendukung Keputusan Pemilihan Bimbingan Belajar Terbaik Kota Pekalongan Menggunakan Metode Promethee Lami, M Dhiyaul; Pramuntadi, Andri; Prastowo, Wahit Desta; Gutama, Deden Hardan
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 4 (2024): October
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i4.32378

Abstract

Tutoring institutions for elementary school levels have been proliferating in Pekalongan City due to the large number of elementary school students, totaling 18,356 students spread across 103 schools. Finding the right tutoring center that meets specific needs can sometimes be challenging. This study aims to assist with this by developing a decision support system. Using the Promethee method, which offers a more detailed evaluation of multiple criteria, the system is expected to provide a suitable decision support solution. This research produces a web-based decision support system that parents can use to find a tutoring center that meets their desired criteria.
Co-Authors Adawiyyah, Andi Rabiatul Ahmad Subhan Yazid Amalia, Ade Darmawan, Yogi Dwiki Dhina Puspasari Wijaya, Dhina Puspasari Dita Danianti Habiburochman, Yoko Khomarudin Iskandar, Reza Fauzan Nur Juansa, Andra KHOIRUL ANAM Lami, M Dhiyaul muhammad rizky, muhammad Pramuntadi , Andri Pramuntadi, Andri Prastowo, Wahit Desta Riskiah, Putri Maulidatur Rusmiyati, Ratih Safitri, Eli Sri Widodo Sumanto Sumanto Wibowo, Leni Tri