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Donna Setiawati
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JITU : Journal Informatic Technology And Communication
Published by Universitas Boyolali
ISSN : -     EISSN : 26205157     DOI : 10.36596
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Library & Information Science
JITU : Journal Informatic Technology And Communication adalah terbitan berkala ilmiah yang fokus pada teknologi informasi dan komunikasi yang berbentuk kumpulan/akumulasi pengetahuan baru, pengamatan empirik atau hasil penelitian, dan pengembangan gagasan atau usulan baru. Beberapa sub bidang ilmu yang menjadi fokus ilmu komputer antara lain: Internet of Things (IoT), electronics engineering, software engineering, mobile technology and applications, robotics, database system, information engineering, artificial intelligence, interactive multimedia, computer networking, information system audit, accounting information system, information technology investment, information system development methodology, strategic information system (business intelligence, decision support system, executive information system, enterprise system, knowledge management), e-learning, and e-business (e-health, e-commerce, e-supply chain management, e-customer relationship management, e-marketing, and e-government).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 10 Documents
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Search results for , issue "Vol 8 No 2 (2024)" : 10 Documents clear
Implementasi Otomatisasi Tagihan Pembayaran Kos dengan Whatsapp Gateway Habibah, Az Zahraina Nur; Fiati, Rina; Wijayanti, Esti
JITU Vol 8 No 2 (2024)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v8i2.1312

Abstract

This research aims to develop the “Smart Watch Tagihan Kos” application to facilitate the management and monitoring of boarding house bills. The application is designed to efficiently manage room data, resident data, and billing data, with a user-friendly interface. The software development method used is the waterfall method, involving stages of requirement analysis, system design, implementation, system testing, and maintenance. Testing is conducted using the black box approach to test various pages in the application. The results show that Cost Bill Smart Watch System providing an effective solution for boarding house management needs.
Analisis Website Apple Berdasarkan Desain Antarmuka Pengguna (UI) Satria, Satria Wahyu Kusuma; Icjelyfia , Diana; Lesmono, Aji Suryo; Ekarini , Fitria; Ristanto, Riska Dami
JITU Vol 8 No 2 (2024)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v8i2.1401

Abstract

Desain antarmuka pengguna User Interface (UI) yang intuitif dan menarik merupakan elemen penting dalam keberhasilan sebuah situs web Apple.com, sebagai salah satu situs web terkemuka, menunjukkan pentingnya desain antarmuka yang dirancang dengan baik untuk memberikan pengalaman pengguna yang optimal. Penelitian ini bertujuan untuk mengevaluasi desain antarmuka Apple.com melalui metode pengujian kegunaan (usability testing) dan menganalisis dampaknya terhadap pengalaman pengguna. Metode pengujian kegunaan dilakukan dengan melibatkan sepuluh peserta yang diberi serangkaian tugas untuk diselesaikan di situs web Apple.com. Data yang dikumpulkan meliputi waktu penyelesaian tugas, tingkat kesalahan, dan kepuasan pengguna yang diukur menggunakan System Usability Scale (SUS). Hasil pengujian menunjukkan bahwa desain antarmuka Apple.com memiliki tingkat kegunaan yang tinggi dengan skor SUS rata-rata sebesar 85, yang berarti berada dalam kategori "Excellent". Partisipan mengapresiasi desain yang bersih dan navigasi yang mudah, namun beberapa area seperti proses pencarian produk dapat ditingkatkan. Studi ini menyimpulkan bahwa Apple.com berhasil dalam menyediakan pengalaman pengguna yang baik melalui desain antarmuka yang efektif. Meskipun demikian, rekomendasi perbaikan disarankan untuk lebih meningkatkan efisiensi dan kepuasan pengguna secara keseluruhan.
Kombinasi Metode AHP dan TOPSIS dalam Pemilihan Bibit Cabai Berdasarkan Kondisi Tanah dan Syarat Tumbuh Tanaman Nggiri, Maria; Yohanes Malelak
JITU Vol 8 No 2 (2024)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v8i2.1484

Abstract

Selecting plant seeds suitable for environmental conditions is crucial for enhancing agricultural productivity. This research aims to develop an effective approach for selecting chili seeds based on plant growth requirements. The Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods are employed to address the complexity of multi-criteria decision-making. The first step involves identifying relevant criteria, including soil type, elevation, optimal soil pH, and light intensity. Subsequently, the relative weights of each criterion are determined using the AHP method to consider the significance of each factor in seed selection. Then, utilizing TOPSIS, chili seeds are evaluated based on their relative closeness to the positive ideal solution (seeds with optimal soil conditions and fulfilled plant growth requirements) and the negative ideal solution (seeds with substandard soil conditions and unmet plant growth requirements). The outcome of this research can assist farmers in choosing chili seeds that match soil conditions and plant growth requirements effectively.
Implementasi Algorima K-Means Dalam Pengelompokan Armada Bus Layak Jalan Di Terminal Klaten Nisa, Hanifah Hanun; Ari Wahyono; Donna Setiawati
JITU Vol 8 No 2 (2024)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v8i2.1603

Abstract

Kecelakaan moda transportasi darat terutama bus tak jarang berakhir memakan korban jiwa. Permasalahan teknis seperti kondisi kelayakan armada yang kurang memadai hendaknya dapat dicegah dengan melakukan pengujian rutin melalui satuan pelayanan terminal. Namun, apabila pengelolaan data hasil pengujian yang dilakukan oleh pihak satuan pelayanan terminal kurang makasimal, maka dapat berpengaruh pada hasil yang kurang optimal pula, sehingga dibutuhkan suatu metode untuk mengatasi hal tersebut. K-Means clustering merupakan salah satu metode analisis cluster unsupervised learning yang mengelompokkan objek menjadi satu atau lebih cluster berdasarkan karakteristiknya. Metode ini dipilih untuk mempermudah pengelolaan informasi sehingga diperoleh data perusahaan otobus mana saja memiliki tingkat kepatuhan terhadap kelayakan operasional yang baik dan tidak baik berdasarkan presentase dari hasil pengujian kelayakan armada. Penelitian ini menggunakan data Rampcheck di Terminal Klaten pada periode 1 Januari 2023 – 31 Mei 2024 yang kemudian dianalisis menggunakan perangkat lunak Rapidminer. Hasil pengujian menunjukkan bahwa perusahaan otobus yang telah melakukan uji kelayakan operasional dapat dibagi menjadi 3 cluster, yaitu perusahaan otobus yang memiliki Tingkat kepatuhan terhadap kelayakan operasional tinggi, perusahaan otobus yang memiliki Tingkat kepatuhan terhadap kelayakan operasional sedang dan perusahaan otobus yang memiliki tingkat kepatuhan terhadap kelayakan operasional rendah. Dengan demikian, dapat membantu pihak terminal klaten dalam menyusun strategi baru dan mengambil tindakan hukum yang lebih efisien terhadap perusahaan otobus yang melakukan pelanggaran guna meningkatkan pelayanan dan manjamin keamanan transportasi darat bagi masyarakat.
Sistem Informasi Profil Desa Berbasis Website (Studi Kasus : Desa Fatuana , Kecamatan Insana, Kabupaten TTU) Naif, Kefin Gonsalves Batistita; Nababan, Darsono; Risald; Fetronela Rambu Bobu
JITU Vol 8 No 2 (2024)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v8i2.1669

Abstract

Fatuana Village is a village located in Insana District, TTU Regency, East Nusa Tengara Province. This village has a fairly large area and a very dense community, apart from that it also has good internet access, but Fatuana village does not yet have a village profile information system so many people do not know about Fatuana Village. Therefore, the aim of this research is to build an information system for the Fatuana village profile so that the community can access information about Fatuana village while also making it easier for the Fatuana village to serve the community by providing information quickly. This research applies the waterfall method as a system development method and uses PHP as a programming language in building the Fatuana village profile information system. This research produced a Fatuana village profile information system in accordance with community needs and has been successful in testing the system.
Analisis Pengelompokan Prestasi Mahasiswa Universitas Malang Menggunakan Metode K-Means Clustering Aqil, Moh. Aqil Mukhtar Alfarera; Fatah , Zaehol
JITU Vol 8 No 2 (2024)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v8i2.1704

Abstract

Pilihan tepat menggunakan data mining dalam menganalisis penerapan teknik K-Means Clustering dalam pengelompokan data prestasi mahasiswa universitas malang (UM). Dengan meningkatnya jumlah mahasiswa dan variasi prestasi, pengelolaan data prestasi di perguruan tinggi menjadi lebih kompleks, sehingga metode manual tidak cukup memadai. K-Means Clustering dipilih karena kemampuanya untuk mengelompokan data berdasarkan atribut tertentu, yang memudahkan identifikasi pola dan tren. Penelitian ini bertujuan membuktikan efektivitas K-Means dalam menganalisis data prestasi, serta menambah literatur mengenai penerapan data mining di pendidikan. Dataset yang digunakan mencakup indeks prestasi mahasiswa dari berbagai program studi di Universitas Malang pada periode 2018 hingga 2022. Data diolah untuk mengelompokan prestasi mahasiswa secara efisien. Model klastering dibangun menggunakan salah satu algoritma dalam metode clustering yaitu K-Means. Penelitian ini menghasilkan klaster terbaik dengan jumlah 3 klaster, proses untuk menentukan pengelompokan terbaik dilakukan dengan menguji model 6 klaster yang berbeda. Pemilihan klaster terbaik dilakukan menggunakan pengujian indeks Davies Bouldin. Berdasarkan penelitian dengan hasil 3 kelompok tersebut dapat dikategorikan sebagai, cluster 0 dengan kategori rendah dengan nilai 100, cluster 1 dengan kategori tinggi dengan nilai 4.100, dan cluster 2 dengan kategori menengah dengan nilai 1.900.
Implementasi Pengelolaan Bank Sampah Berbasis Website Pada TPS3R Bantas Lestari Ni Nengah Purnama Wati; I Dewa Gede Agung Wahyu Brahmantha; I Putu Wahyu Eka Putra Sedana; Kadek Wira Adhi Kusuma Pratama; Ni Putu Rika Yulianti
JITU Vol 8 No 2 (2024)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v8i2.1710

Abstract

Sampah merupakan permasalahan global yang dihadapi banyak masyarakat, termasuk di Desa Bantas, Selemadeg Timur, Kabupaten Tabanan, Bali. Implementasi pengelolaan sampah di TPS3R Bantas Lestari menghadapi sejumlah kendala, seperti pencatatan transaksi yang masih dilakukan secara manual dan penumpukan sampah akibat kapasitas penampungan yang terbatas. Penelitian ini bertujuan untuk mengembangkan sistem pengelolaan Bank Sampah berbasis website guna meningkatkan efektivitas dan efisiensi pengelolaan sampah secara berkelanjutan. Sistem yang dikembangkan mengintegrasikan beberapa fitur, antara lain pencatatan jenis dan volume sampah, pendaftaran anggota dan petugas, transaksi point dan saldo, verifikasi tagihan bulanan, laporan, fitur history, dan grafik volume sampah. Sistem ini dibangun menggunakan platform berbasis website dengan perancangan menggunakan ERD (Entity Relationship Diagram), Flowchart, dan perancangan antarmuka. Hasil pengujian menunjukkan bahwa sistem berjalan tanpa error, memungkinkan pemantauan dan pengelolaan sampah secara lebih efisien dan transparan. Sistem ini juga membantu masyarakat dalam berpartisipasi aktif dalam pengelolaan sampah, memudahkan transaksi, serta menyediakan laporan dan informasi yang dibutuhkan untuk meningkatkan efektivitas pengelolaan sampah di TPS3R Bantas Lestari. Kata kunci: Pengelolaan sampah, bank sampah, teknologi website, sistem informasi, TPS3R.
Analisis Prakiraan Jumlah Produksi Mie Menggunakan Metode Fuzzy Mamdani pada Pabrik Mie Lie Ziyad, Ziyad Rofi Syamil; Astri, Astri Ismanto; Helga, Helga Alfrida Sephira; Farhan, Farhan Lintang Wicaksono; Bagus, Bagus Farhat Brori; Suhendi, Suhendi Irawan
JITU Vol 8 No 2 (2024)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v8i2.1713

Abstract

Mie Lie Factory is one of the MSMEs in producing semi-finished products with the products produced being egg noodles, wonton skins, and dimsum skins. Mie Lie Factory is experiencing a problem in its production due to the uncertainty of the amount of demand each month. Production planning and demand forecasting need to be done in order to overcome this problem. This study aims to determine the quantity of production based on demand forecasting and the amount of availability at Mie Lie Factory. Demand forecasting can be known from the company's historical data over the last 12 months using the time series method. The method used for production planning is the Mamdani fuzzy method. The results of this study are that the company can find the number of products for production activities in the next period. The amount of product demand in October 2024 is 498.5 kg with the amount of product inventory in September 2024 of 200 kg, so the amount of noodle production through the use of the Mamdani fuzzy method is 405 kg. This research is expected to help Mie Lie Factory in planning production every month.
Integrasi Agrowisata dan UMKM dalam Digital Promotion Menggunakan Virtual Tour di Desa Pematang Gajah Nabila Suniyyah; Febri Heryansah; Daniel Arsa; Nur Fadilah Oktarivia; Baldy Antila Putra; Mukhtada Billah Nst
JITU Vol 8 No 2 (2024)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v8i2.1716

Abstract

The increasing role of digital technology in tourism and local economic development, especially in villages with agrotourism potential and SMEs, has led to the use of virtual tours as an effective tool for promoting both sectors. This research aims to fill the gap in the literature by examining the integration of virtual tours to promote agrotourism and local SMEs in Desa Pematang Gajah. Despite its significant potential, the village faces challenges in reaching a wider audience and maximizing digital marketing. This study uses a qualitative approach with descriptive analysis and action research methods to design, implement, and evaluate a virtual tour system that integrates both sectors. The results indicate that the introduction of digital innovation, including a website and virtual tour feature, has effectively enhanced the promotion of the village's agrotourism and SME products. Training for local stakeholders, such as SMEs and village officials, played a crucial role in the success of the project, demonstrating increased digital skills and a broader market reach. This research contributes to the understanding of how virtual tours can bridge the gap in promoting agrotourism and SMEs, especially in rural areas with limited technological infrastructure.
Pengelompokkan Daerah Rawan Bencana di Kabupaten Boyolali Menggunakan Algoritma K-Means Abdul Aziz , Muhammad; Sanjaya, Wisnu; Rama Pratama Zulkifli Putra
JITU Vol 8 No 2 (2024)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v8i2.1726

Abstract

The country of Indonesia, which is located in the Southeast Asia region, faces a high challenge of disasters due to demographic, geological and geographical factors that influence the occurrence of disasters, both those caused by natural, non-natural and human factors. In the Province of Central Java, especially Boyolali, disasters pose a significant threat, especially when the weather is uncertain. However, to identify priority areas for the lowest and highest levels of natural disasters in Boyolali, it is necessary to improve using data mining methods, therefore to facilitate analysis and grouping of data in identifying disaster-prone areas in Boyolali, the K-Means clustering algorithm is used. The method used in this research is qualitative and the data is analyzed using the Rapidminer Studio Ver application. 9.10. Based on the results of the analysis, there is a division of disaster-prone areas into 3 clusters in Boyolali Regency, namely very high vulnerability, medium vulnerability, and low vulnerability. The results of calculations with Rapidminer show that there are 3 sub-districts in cluster 2, 2 sub-districts in cluster 1, and 17 sub-districts in cluster 0. It should be noted that manual calculations can produce differences because the cluster center point or centroid is taken randomly for each calculation method. It is hoped that this grouping of areas can be used as a support for the Boyolali regional BPBD to focus on anticipatory steps to reduce the impact of disasters on society that may occur in the future.

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