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APPLICATION OF THE K-MEANS METHOD FOR GROUPING COMMUNITY WELFARE LEVELS IN CENTRAL JAVA PROVINCE Hidayat, Taufik; Handayani, Yuni; Novitaningrum, Dian
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 11, No 1 (2024): Desember 2024
Publisher : Universitas Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i1.3602

Abstract: Welfare is one of the things that determines the progress of a region, to achieve the welfare of its people, especially in the economic sector, a technique is needed to measure welfare that continues to change. This study aims to analyze the differences in the level of community welfare in Central Java Province by grouping regions based on several indicators. Grouping is done using data from various sources that include the main indicators of welfare. The method used in this study uses the K-Means data mining algorithm to group regional data according to their level of welfare. The results of the analysis divide the regions into three categories: Medium Welfare Level, which includes Banyumas, Purworejo, Boyolali, Klaten, Sukoharjo, Karanganyar, Sragen, Kudus, Jepara, Demak, Semarang, Kendal, and Pekalongan City and Tegal City, High Welfare Level, consisting of Magelang City, Surakarta City, Salatiga City, and Semarang City; and Low Welfare Level, covering Cilacap, Purbalingga, Banjarnegara, Kebumen, Wonosobo, Magelang, Wonogiri, Grobogan, Blora, Rembang, Pati, Temanggung, Batang, Pekalongan, Pemalang, Tegal, and Brebes Regencies. The findings show that the C2 region has a longer average length of schooling, higher per capita expenditure, and better HDI, reflecting a higher quality of life. This study provides an overview of welfare inequality in Central Java Province and suggests the need for more focused policies to improve the quality of life in each category of region. Keywords: clustering; k-means; welfare Abstrak: Kesejahreraan merupakan salah satu hal yang menentukan kemajuan suatu wilayah, untuk mencapai kesejahteraan masyarakatnya terutama di bidang ekonomi di perlukan teknik untuk mengukur kesejahteraan yang terus berubah, Penelitian ini bertujuan untuk menganalisis perbedaan tingkat kesejahteraan masyarakat di Provinsi Jawa Tengah dengan mengelompokkan wilayah berdasarkan beberapa indikator. Pengelompokan dilakukan menggunakan data dari berbagai sumber yang mencakup indikator-indikator utama kesejahteraan. Metode yang di gunakan dalam penelitian ini menggunakan algoritma data mining K-Means untuk mengelompokkan data wilayah menurut tingkat kesejahteraannya. Hasil analisis membagi wilayah menjadi tiga kategori: Tingkat Kesejahteraan Sedang, yang mencakup Kabupaten Banyumas, Purworejo, Boyolali, Klaten, Sukoharjo, Karanganyar, Sragen, Kudus, Jepara, Demak, Semarang, Kendal, serta Kota Pekalongan dan Kota Tegal, Tingkat Kesejahteraan Tinggi, terdiri dari Kota Magelang, Kota Surakarta, Kota Salatiga, dan Kota Semarang; dan Tingkat Kesejahteraan Rendah, mencakup Kabupaten Cilacap, Purbalingga, Banjarnegara, Kebumen, Wonosobo, Magelang, Wonogiri, Grobogan, Blora, Rembang, Pati, Temanggung, Temuan menunjukkan bahwa wilayah C2 memiliki rata-rata lama sekolah yang lebih panjang, pengeluaran per kapita yang lebih tinggi, dan IPM yang lebih baik, mencerminkan kualitas hidup yang lebih tinggi. Penelitian ini memberikan gambaran tentang ketidakmerataan kesejahteraan di Provinsi Jawa Tengah dan menyarankan perlunya kebijakan yang lebih terfokus untuk meningkatkan kualitas hidup di setiap kategori wilayah. Kata Kunci: clustering; k-means; kesejahteraan

DEVELOPMENT OF HUMAN COMPUTER INTERACTION IN THE EDUCATION SECTOR: SYSTEMATIC LITERATURE REVIEW Novitaningrum, Dian; Khozin, Muhammad; Handayani, Yuni; Hidayat, Taufik
JURNAL TEKNISI Vol 5, No 1 (2025): February 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/teknisi.v5i1.2784

Abstract: Rapid technological developments have had a significant impact on various sectors, including education, where Human Computer Interaction (HCI) plays a role in increasing the effectiveness of technology-based learning. However, there are still challenges in the implementation of HCI, such as interface design, infrastructure, and user engagement. This study aims to evaluate the application of HCI in education by reviewing technologies such as chatbots, e-learning, Augmented Reality (AR), Virtual Reality (VR), Artificial Intelligence (AI), and the use of PowerPoint to support learning. Using the Systematic Literature Review (SLR) method based on journals published in 2020-2024 from Google Scholar, the results of the study show that chatbots increase communication efficiency and access to information, while AR and VR-based learning media help understand concepts, especially for students with special needs. The e-learning system designed with HCI principles provides an interactive and user-friendly learning experience, although there are still obstacles such as limited infrastructure and lack of training for educators. In addition, the use of AI in learning media has great potential in increasing engagement and quality of learning. Therefore, this study emphasizes the importance of user-oriented interface design, strengthening technological infrastructure, and collaboration between stakeholders to support more optimal implementation of IMK in the world of education.Keyword: human and computer interaction (HCI); artificial intelligence (AI); augmented reality (AR); education. Abstrak: Perkembangan teknologi yang pesat telah memberikan dampak signifikan di berbagai sektor, termasuk pendidikan, di mana Interaksi Manusia dan Komputer (IMK) berperan dalam meningkatkan efektivitas pembelajaran berbasis teknologi. Namun, masih terdapat tantangan dalam implementasi IMK, seperti desain antarmuka, infrastruktur, dan keterlibatan pengguna. Penelitian ini bertujuan untuk mengevaluasi penerapan IMK dalam pendidikan dengan meninjau teknologi seperti chatbot, e-learning, Augmented Reality (AR), Virtual Reality (VR), Artificial Intelligence (AI), serta penggunaan PowerPoint dalam mendukung pembelajaran. Menggunakan metode Systematic Literature Review (SLR) berdasarkan jurnal terbitan 2020-2024 dari Google Scholar, hasil penelitian menunjukkan bahwa chatbot meningkatkan efisiensi komunikasi dan akses informasi, sementara media pembelajaran berbasis AR dan VR membantu pemahaman konsep, terutama bagi siswa berkebutuhan khusus. Sistem e-learning yang dirancang dengan prinsip IMK memberikan pengalaman belajar yang interaktif dan ramah pengguna, meskipun masih ditemukan kendala seperti keterbatasan infrastruktur dan kurangnya pelatihan bagi tenaga pendidik. Selain itu, pemanfaatan AI dalam media pembelajaran memiliki potensi besar dalam meningkatkan keterlibatan dan kualitas pembelajaran. Oleh karena itu, penelitian ini menekankan pentingnya desain antarmuka yang berorientasi pada pengguna, penguatan infrastruktur teknologi, serta kolaborasi antar pemangku kepentingan guna mendukung implementasi IMK yang lebih optimal dalam dunia pendidikan.Kata kunci: interaksi manusia dan komputer (IMK); artificial intelligence (AI); augmented reality (AR); pendidikan.

Liquefied Petroleum Gas (LPG) Leak Detection Mitigation System with MQ-6 Sensor based on the Internet of Things (IoT) Novitaningrum, Dian; Handayani, Yuni; Hidayat, Taufik
Innovation in Research of Informatics (Innovatics) Vol 7, No 2 (2025): September 2025
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v7i2.16705

The community is beginning to shift from the use of petroleum fuel to Liquefied Petroleum Gas (LPG). In 2023, the Kendal Regency Statistics Agency recorded 53 cases of fire. One of the factors contributing to these fires was gas cylinder leaks, which require preventive measures, education, and mitigation efforts for the proper use of LPG. This research was conducted by designing an LPG gas leak detection system based on the Internet of Things (IoT) using an MQ-6 sensor to notify users of emergencies. The systems aims to notify users via the Blynk application to prevent gas leaks. The research method includes designing the device by assembling and testing components. Additionally, software was developed to connect the sensor to the notification application using Blynk. The system can detect LPG gas leaks within a range of 1-16 cm. A safe threshold is defined as gas levels < 40 ppm, while levels >45 ppm indicate a hazardous status. The conclusions from this research shows that the average gas concentration when the green LED is on 33 ppm with a detection time of 0 seconds, the yellow LED at 40.6 ppm with a detection time of 11.6 seconds, and the red LED at 50 ppm with a detection time of 25.3 seconds, accompanied by a buzzer sounding as a warning of a gas leak in the LPG cylinder. Further research focused on improving the accuracy of the system connected to users WhatsApp accounts.

APPLICATION OF THE K-MEANS METHOD FOR GROUPING COMMUNITY WELFARE LEVELS IN CENTRAL JAVA PROVINCE Hidayat, Taufik; Handayani, Yuni; Novitaningrum, Dian
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 1 (2024): Desember 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i1.3602

Abstract: Welfare is one of the things that determines the progress of a region, to achieve the welfare of its people, especially in the economic sector, a technique is needed to measure welfare that continues to change. This study aims to analyze the differences in the level of community welfare in Central Java Province by grouping regions based on several indicators. Grouping is done using data from various sources that include the main indicators of welfare. The method used in this study uses the K-Means data mining algorithm to group regional data according to their level of welfare. The results of the analysis divide the regions into three categories: Medium Welfare Level, which includes Banyumas, Purworejo, Boyolali, Klaten, Sukoharjo, Karanganyar, Sragen, Kudus, Jepara, Demak, Semarang, Kendal, and Pekalongan City and Tegal City, High Welfare Level, consisting of Magelang City, Surakarta City, Salatiga City, and Semarang City; and Low Welfare Level, covering Cilacap, Purbalingga, Banjarnegara, Kebumen, Wonosobo, Magelang, Wonogiri, Grobogan, Blora, Rembang, Pati, Temanggung, Batang, Pekalongan, Pemalang, Tegal, and Brebes Regencies. The findings show that the C2 region has a longer average length of schooling, higher per capita expenditure, and better HDI, reflecting a higher quality of life. This study provides an overview of welfare inequality in Central Java Province and suggests the need for more focused policies to improve the quality of life in each category of region. Keywords: clustering; k-means; welfare Abstrak: Kesejahreraan merupakan salah satu hal yang menentukan kemajuan suatu wilayah, untuk mencapai kesejahteraan masyarakatnya terutama di bidang ekonomi di perlukan teknik untuk mengukur kesejahteraan yang terus berubah, Penelitian ini bertujuan untuk menganalisis perbedaan tingkat kesejahteraan masyarakat di Provinsi Jawa Tengah dengan mengelompokkan wilayah berdasarkan beberapa indikator. Pengelompokan dilakukan menggunakan data dari berbagai sumber yang mencakup indikator-indikator utama kesejahteraan. Metode yang di gunakan dalam penelitian ini menggunakan algoritma data mining K-Means untuk mengelompokkan data wilayah menurut tingkat kesejahteraannya. Hasil analisis membagi wilayah menjadi tiga kategori: Tingkat Kesejahteraan Sedang, yang mencakup Kabupaten Banyumas, Purworejo, Boyolali, Klaten, Sukoharjo, Karanganyar, Sragen, Kudus, Jepara, Demak, Semarang, Kendal, serta Kota Pekalongan dan Kota Tegal, Tingkat Kesejahteraan Tinggi, terdiri dari Kota Magelang, Kota Surakarta, Kota Salatiga, dan Kota Semarang; dan Tingkat Kesejahteraan Rendah, mencakup Kabupaten Cilacap, Purbalingga, Banjarnegara, Kebumen, Wonosobo, Magelang, Wonogiri, Grobogan, Blora, Rembang, Pati, Temanggung, Temuan menunjukkan bahwa wilayah C2 memiliki rata-rata lama sekolah yang lebih panjang, pengeluaran per kapita yang lebih tinggi, dan IPM yang lebih baik, mencerminkan kualitas hidup yang lebih tinggi. Penelitian ini memberikan gambaran tentang ketidakmerataan kesejahteraan di Provinsi Jawa Tengah dan menyarankan perlunya kebijakan yang lebih terfokus untuk meningkatkan kualitas hidup di setiap kategori wilayah. Kata Kunci: clustering; k-means; kesejahteraan

Peningkatan Keamanan Steganografi Citra Berbasis Least Significant Bit dengan Integrasi Algoritma Deep Learning Convolutional Neural Network (CNN) Khozin, Muhammad; Novitaningrum, Dian; Aprilia, Tresi; Samas, M. Achsin
Jurnal Surya Informatika Vol. 15 No. 1 (2025): Jurnal Surya Informatika, Vol 15. No. 1, Mei 2025
Publisher : Universitas Muhammadiyah Pekajangan Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48144/suryainformatika.v15i1.2080

Steganografi citra merupakan teknik penyembunyian informasi rahasia di dalam gambar digital yang berperan penting dalam komunikasi rahasia. Metode Least Significant Bit (LSB) dikenal luas karena kesederhanaan dan kemudahan implementasinya, namun memiliki kelemahan signifikan dalam hal keamanan, khususnya rentan terhadap deteksi melalui analisis statistik. Penelitian ini bertujuan untuk meningkatkan keamanan steganografi LSB melalui integrasi dengan algoritma deep learning Convolutional Neural Network (CNN). Dataset CIFAR-10 digunakan sebagai media eksperimen dengan proses penyisipan data pada bit paling tidak signifikan dari kanal warna citra digital. Evaluasi dilakukan melalui metrik imperseptibilitas seperti Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), serta akurasi deteksi oleh model steganalisis. Hasil eksperimen menunjukkan bahwa integrasi LSB dengan CNN menghasilkan peningkatan nilai PSNR dan SSIM, serta menurunkan tingkat keberhasilan deteksi pesan tersembunyi oleh pihak ketiga. Pendekatan ini berhasil membuat proses penyisipan data lebih adaptif dan sulit dikenali secara visual maupun statistik, sehingga meningkatkan tingkat keamanan dan kerahasiaan dalam komunikasi digital berbasis steganografi.

PERANCANGAN UI/UX PADA APLIKASI MUSIC POPULER DENGAN METODE DESIGN THINKING BERBASIS ADOBE XD Fatekha, Putri; Khozin, Muhammad; Novitaningrum, Dian
Jurnal Teknik Informatika dan Desain Komunikasi Visual Vol 4 No 1 (2025): Jurnal Teknik Informatika dan Desain Komunikasi Visual
Publisher : Fakultas Komputer Dan Desain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51792/rnnctd11

Popular music apps are becoming increasingly popular among the masses, and the demand for meaningful personal digital entertainment is increasing. This study aims to develop a music app that provides the best user experience through smart visualization, personalized features, and online access. The methodology chosen for developing this app is “Think About It,” which consists of five stages: Empathy, Explanation, Ideation, Prototype, and Testing. Each stage is designed to understand user needs, create innovative solutions, and provide a user-friendly interface. The findings show that the developed music app meets user needs such as easy access to music, relevant recommendations, and comprehensive search capabilities. Testing with end users has resulted in high usage rates, although there are still some areas for improvement, such as reducing click-through error rates and simplifying navigation. This study concluded that the developed tool met many of the needs of the users. However, more iterations are still needed to improve the interface and improve usability. We hope that this study can serve as a reference for creating modern digital music tools that better meet the needs of modern users.

PERBANDINGAN ALGORITMA LOGISTIC REGRESSION DAN NAÏVE BAYES CLASSIFIER DALAM IDENTIFIKASI PENYAKIT LIVER Handayani, Yuni; Hidayat, Taufik; Novitaningrum, Dian; Ismail, Abdul Rahman
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 2 (2025): May 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i2.2892

Abstract: Liver disease is a condition caused by various factors that can damage liver function, such as viral infections and alcohol consumption. Additionally, obesity is closely associated with liver damage. Over time, liver damage can lead to serious consequences. The presence of experts in this field is crucial to addressing liver disease by identifying the symptoms experienced by patients, determining the type of liver disease affecting them, and providing appropriate treatment guidance. The severity of this disease in Indonesia is evident from various studies, research, and related observations. In this study, researchers utilized and compared two data mining classification methods, namely Logistic Regression and Naïve Bayes, to diagnose liver disease. The findings revealed that the Logistic Regression method achieved an accuracy rate of 84.62% with an area under the curve (AUC) value of 0.841, while the Naïve Bayes method achieved an accuracy rate of 83.71% with an AUC value of 0.816. Based on the t-test, it was found that there was no significant difference between the two methods, with a p-value of 0.821 > 0.05. This indicates that the performance of Logistic Regression is comparable to Naïve Bayes in diagnosing liver disease.Keyword: Liver Disease, Logistic Regression, Naïve Bayes, Confusion Matrix, ROC CurveAbstrak: Penyakit hati atau liver adalah kondisi yang disebabkan oleh berbagai faktor yang dapat merusak fungsi hati, seperti infeksi virus dan konsumsi alkohol. Selain itu, obesitas juga memiliki kaitan erat dengan kerusakan hati. Dalam jangka panjang, kerusakan hati dapat menimbulkan konsekuensi serius. Kehadiran ahli di bidang ini sangat diperlukan untuk membantu menangani masalah penyakit hati dengan mengidentifikasi gejala yang dialami pasien, menentukan jenis penyakit hati yang diderita, serta memberikan panduan penanganan yang sesuai. Skala permasalahan penyakit ini di Indonesia dapat diamati melalui berbagai studi, penelitian, dan pengamatan yang telah dilakukan. Dalam penelitian ini, peneliti menerapkan serta membandingkan dua metode klasifikasi data mining, yaitu Logistic Regression dan Naïve Bayes, untuk mendeteksi penyakit liver. Hasil penelitian menunjukkan bahwa Logistic Regression memiliki tingkat akurasi sebesar 84,62% dengan nilai area under the curve (AUC) sebesar 0,841, sementara Naïve Bayes mencapai akurasi 83,71% dengan AUC sebesar 0,816. Berdasarkan hasil uji-t, tidak ditemukan perbedaan signifikan antara kedua metode tersebut, dengan nilai p = 0,821 yang lebih besar dari 0,05. Ini menunjukkan bahwa performa Logistic Regression sebanding dengan Naïve Bayes dalam proses diagnosis penyakit liver.Kata kunci: Penyakit Liver, Logistic Regression, Naïve Bayes, Confusion Matrix, ROC Curve

Analysis Development and Design of Local Area Network: Systematic Literature Review Waluyo, Tri Muji; Novitaningrum, Dian; Handayani, Yuni; Hidayat, Taufik
JURNAL TEKNISI Vol 6, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/teknisi.v6i1.5307

Abstract: The development of information technology is very important, especially in computer networks. The lack of information related to the development of computer networks, particularly Local Area Networks (LAN), necessitates this research to improve network performance. Therefore, this necessitates analysis and planning of computer networks in offices and companies, which has been done previously. This study aims to evaluate the application of computer networks, particularly the development of LAN in previous studies. The solution to this problem is one of the factors behind this study. Meanwhile, the research method used is Systematic Literature Review (SLR) using journals published in 2022–2025 from Google Scholar. The results of the research obtained are references in the form of advantages, disadvantages, and recommendations for development in the majority of schools. Therefore, this study emphasises the importance of technological development as the basis for internet implementation. Thus, the conclusion is that the use of LAN networks is highly recommended for use in institutions, one of which is educational institutions or schools. Keyword: internet; local area network (LAN); technological development Abstrak: Perkembangan teknologi informasi sangat penting terutama pada jaringan komputer, minimnya informasi terkait perkembangan jaringan komputer khususnya Local Area Network (LAN) membuat diperlukannya penelitian ini untuk meningkatkan performa jaringan. Oleh karena itu hal tersebut melatar belakangi diperlukannya analisis dan perencanaan pada sebuah jaringan komputer pada kantor maupun perusahaan yang telah dilakukan sebelumnya. Penelitian ini bertujuan untuk mengevaluasi penerapan Jaringan Komputer utamanya pada perkembangan LAN pada penelitian sebelumnya. Solusi dari permasalahan tersebut menjadi salah satu factor dilakukannya penelitian ini. Sedangkan, metode penelitian yang digunakan yaitu Systematic Literature Review (SLR) dengan menggunakan jurnal yang terbit pada 2022 – 2025 dari Google Scholar. Hasil penelitian yang didapatkan adalah referensi berupa keunggulan, kelemahan, dan rekomendasi perkembangan pada mayoritas sekolah. Oleh karena itu, penelitian ini menekankan pentingnya perkembangan teknologi sebagai dasar dalam penerapan internet. Maka dari itu kesimpulannya bahwa penggunaan jaringan LAN sangat direkomendasikan untuk digunakan pada instansi salah satunya adalah instansi pendidikan atau sekolah.Kata kunci: internet; local area network (LAN); perkembangan teknologi

Antecedents of Cloud Accounting Adoption and Its Consequences on SME Performance: A TOE Framework Approach Andanawarih, Parasdya Pandhu; Mila, Shofiatul; Novitaningrum, Dian
Amkop Management Accounting Review (AMAR) Vol. 6 No. 1 (2026): January - June
Publisher : Sekolah Tinggi Ilmu Ekonomi Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/amar.v6i1.3577

The purpose of this research is to investigate the factors that influence the adoption of cloud accounting, including relative benefit, complexity, support from top management, organizational preparedness, competitive pressure, bandwagon effect, computer self-efficacy, and computer anxiety., as well as its impact on MSME performance in Kendal Regency. The study in question takes a quantitative approach and makes use of primary data gathered via the use of questionnaires. A purposive sampling method was used to pick 250 respondents from micro, small, and medium-sized enterprises (MSMEs) in the Kendal Regency. The research makes use of the Structural Equation Modeling (SEM) technique in conjunction with the Partial Least Squares (PLS) methodology. According to the findings, the adoption of cloud accounting is favorably influenced by factors including as support from senior management, competitive pressure, the bandwagon effect, and user confidence in their ability to use IT. The implementation of cloud accounting has a favorable and substantial influence on the performance of micro, little, and medium-sized enterprises (MSME). With that being said, relative advantage, complexity, organizational readiness, and computer anxiety negatively influence cloud accounting adoption. This research makes a contribution to the TOE framework by highlighting the significance of technical, organizational, and environmental factors readiness alongside individual support in adopting cloud accounting to improve MSME performance. Practically, the Kendal Regency government is expected to take a more active role in providing stimuli regarding the importance of digital transformation to enhance MSME performance.

Evaluasi Kapabilitas Manajemen Layanan TI Berdasarkan Proses Deliver, Service dan Support pada Sekolah X Hakim, Aulia; Novitaningrum, Dian; Waluyo, Tri Muji; Siroj, To Adn
Jurnal Teknik Informatika dan Desain Komunikasi Visual Vol 5 No 1 (2026): Vol. 5 No. 1 (2025): Jurnal Teknik Informatika dan Desain Komunikasi Visual
Publisher : Fakultas Komputer Dan Desain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51792/2a8vgv94

Penelitian ini bertujuan untuk mengevaluasi dan merangkum kemampuan manajemen layanan teknologi informasi (IT) berdasarkan proses Deliver, Service, and Support (DSS) dalam kerangka kerja COBIT 5. Metode yang digunakan adalah pendekatan deskriptif kuantitatif dengan teknik pengumpulan data melalui kuesioner, wawancara, observasi, dan studi dokumen. Evaluasi dilakukan pada enam domain proses DSS: manajemen operasi, permintaan layanan dan insiden, masalah, kelangsungan layanan, layanan keamanan, dan pengendalian proses bisnis. Data dianalisis menggunakan model kemampuan lima tingkat untuk menentukan tingkat kematangan setiap proses. Hasil menunjukkan bahwa domain DSS-06 (Pengelolaan Pengendalian Proses Bisnis) memiliki tingkat kemampuan tertinggi (tingkat 4), sementara DSS-02 (Pengelolaan Permintaan Layanan dan Insiden) memiliki tingkat terendah (tingkat 2). Domain lainnya berada pada tingkat 3, mencerminkan proses yang telah didokumentasikan dengan cukup tetapi belum optimal secara kuantitatif. Sebagian besar sub-proses DSS01 juga menunjukkan kematangan pada tingkat 3, kecuali layanan outsourcing, yang tetap pada tingkat 2. Kesimpulan studi ini menegaskan bahwa meskipun sebagian besar proses stabil, perbaikan signifikan masih diperlukan di area dengan kemampuan rendah, terutama manajemen insiden dan outsourcing. Rekomendasi utama meliputi peningkatan dokumentasi, pelatihan staf, pemanfaatan teknologi otomatisasi, dan penerapan praktik terbaik COBIT 5 untuk terus meningkatkan efektivitas dan efisiensi layanan IT.

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