Abstract:Abstract: Mental disorders are one of the major health problems that continue to increase in Indonesia and require serious attention. According to Riskesdas (2018), the prevalence of severe mental disorders increased from…
m 1.7 per 1,000 households in 2013 to 7 per 1,000 households in 2018, equivalent to around 450,000 people with severe mental illness, and in 2019 there were still 5,218 cases of severe mental illness under restraint. At Soeharto Heerdjan Hospital, the number of inpatients with mental disorders has shown an increasing trend from 2019 to 2023, rising from 3,068 patients in 2019 to 4,036 patients in 2023, and reaching 4,781 patients in 2024. This study aims to analyze the profile of inpatients with mental disorders at Soeharto Heerdjan Hospital in 2024 based on demographic characteristics, environmental factors, and clinical profiles. This research employed a descriptive quantitative design with a sample of 400 patients drawn from a total population of 4,781 patients. Data were collected through medical record reviews and analyzed using univariate analysis. The results showed that the majority of patients were male (50.2%) and the largest age group was 20–29 years (25.8%). Most patients had no formal education (35.5%) and were covered by BPJS health insurance (89.3%). In terms of environmental factors, the most dominant cause was family conflict (27.8%), followed by socioeconomic factors (20.3%) and the loss of parents/family members (20.0%). The most common diagnosis was paranoid schizophrenia (F20.0) at 40.5%, while the most frequent medical intervention was behavioral therapy (94.23) at 55.3%. The length of stay was most commonly 14 days (12.5%).
Keywords: Patient Profile, Mental Disorders, Inpatient Care
Abstrak: Gangguan jiwa merupakan salah satu masalah kesehatan yang terus meningkat di Indonesia dan memerlukan perhatian serius. Menurut Riskesdas (2018), prevalensi gangguan jiwa berat meningkat dari 1,7 per 1.000 rumah tangga pada 2013 menjadi 7 per 1.000 rumah tangga pada 2018, setara dengan sekitar 450 ribu ODGJ berat, dan pada 2019 masih tercatat 5.218 ODGJ berat dalam kondisi pasung. Pada rumah sakit Soeharto Heerdjan, jumlah pasien rawat inap dengan gangguan jiwa mengalami peningkatan dari tahun 2019 hingga 2023, yaitu dari 3068 pasien pada 2019 naik menjadi 4036 pasien pada 2023, hingga mencapai 4.781 pasien pada tahun 2024. Penelitian ini bertujuan untuk menganalisis profil pasien rawat inap dengan gangguan jiwa di Rumah Sakit Soeharto Heerdjan tahun 2024 berdasarkan karakteristik demografis, faktor lingkungan dan profil klinis. Metode penelitian yang digunakan adalah deskriptif kuantitatif dengan sampel sebanyak 400 pasien dari total populasi 4.781 pasien. Data diperoleh melalui telaah rekam medis dan dianalisis secara univariat. Hasil penelitian menunjukkan bahwa mayoritas pasien berjenis kelamin laki-laki (50,2%) dengan kelompok usia terbanyak 20–29 tahun (25,8%). Sebagian besar pasien tidak menempuh pendidikan formal (35,5%) dan menggunakan jaminan kesehatan BPJS (89,3%). Berdasarkan faktor lingkungan, penyebab dominan adalah konflik keluarga (27,8%), disusul faktor sosial ekonomi (20,3%) dan kehilangan orang tua/keluarga (20,0%). Diagnosis terbanyak adalah skizofrenia paranoid (F20.0) sebesar 40,5% dengan tindakan medis dominan berupa terapi perilaku (94.23) sebesar 55,3%. Lama rawat terbanyak adalah 14 hari (12,5%).
Kata Kunci: Profil Pasien, Gangguan Jiwa, Rawat Inap
Abstract:Abstract: Digital transformation has changed the way Micro, Small, and Medium Enterprises (MSMEs) carry out their marketing activities. One key factor in the success of digital marketing adoption is the digital competence…
e possessed by employees or business actors. This study aims to examine the influence of employee digital competence on marketing performance in MSMEs through a literature review approach. The method used is descriptive qualitative analysis by reviewing relevant scientific articles published between 2021 and 2026. The results show that employee digital competence, which includes digital literacy, social media proficiency, e-commerce platform understanding, and digital marketing data analysis skills, plays a significant role in improving MSME marketing performance, reflected in increased market reach, sales volume, and customer loyalty. Internal environmental factors such as innovation culture and management support, as well as external factors such as government policy, also moderate this relationship. The implication of this study emphasizes the importance of continuous digital competence training and development for MSME actors to remain competitive in the digital economy era.
Keywords: Digital Competence, Employees, Marketing Performance, MSMES, Digital Transformation
Abstrak : Transformasi digital telah mengubah cara Usaha Mikro, Kecil, dan Menengah (UMKM) menjalankan aktivitas pemasarannya. Salah satu faktor kunci keberhasilan adopsi pemasaran digital adalah kompetensi digital yang dimiliki oleh karyawan atau pelaku usaha. Penelitian ini bertujuan untuk mengkaji pengaruh kompetensi digital karyawan terhadap kinerja pemasaran pada UMKM melalui pendekatan studi literatur (literature review). Metode yang digunakan adalah analisis deskriptif kualitatif dengan menelaah berbagai artikel ilmiah yang relevan dan dipublikasikan pada rentang tahun 2021 hingga 2026. Hasil kajian menunjukkan bahwa kompetensi digital karyawan, yang meliputi kemampuan literasi digital, penguasaan media sosial, pemahaman platform e-commerce, dan kemampuan analisis data pemasaran digital, berperan signifikan dalam meningkatkan kinerja pemasaran UMKM yang tercermin dari peningkatan jangkauan pasar, volume penjualan, dan loyalitas pelanggan. Faktor lingkungan internal seperti budaya inovasi dan dukungan manajemen, serta faktor eksternal seperti kebijakan pemerintah, turut memoderasi hubungan tersebut. Implikasi penelitian ini menegaskan pentingnya pelatihan dan pengembangan kompetensi digital secara berkelanjutan bagi pelaku UMKM agar mampu bersaing di era ekonomi digital.
Kata Kunci: Kompetensi Digital, Karyawan, Kinerja Pemasaran, UMKM, Transformasi Digital
Abstract:Abstract: This study aims to determine the partial and simultaneous influence of Debt to Equity Ratio, Debt to Asset Ratio and Current Ratio on Financial Performance in Banking Sub-Sector Companies Listed on the Indonesia…
a Stock Exchange. The number of population samples of 48 companies and samples of 15 companies multiplied by 3 observation years 2022-2024 to 45 samples. However, from the 40 samples, 3 samples were found from outlier observations so that they were eliminated as samples, then data was obtained as many as 42 samples. Data analysis using Multiple Linear Regression. The results of the t-test, partially the Debt to Equity Ratio had a positive effect on financial performance with a tcal value of 2.331 > ttable 2.022 and a significance of 0.025 < 0.05. Debt to Asset Ratio partially has a negative effect on Financial Performance with a value of -tcal (-3.120) < -ttable (-2.022) with a significance value of 0.003 < 0.05. Meanwhile, the Current Ratio has a negative effect on financial performance with a value of -tcal (-3.498) < -ttable (-2.022) with a significance value of 0.001 < 0.05. Meanwhile, the results of the F Test simultaneously show that the Debt to Equity Ratio, Debt to Asset Ratio, and Current Ratio variables have an effect on Financial Performance with a Calculation value of 6.768 > 2.85 F and a significance value of 0.001 < 0.005. The R2 test, the Adjusted R Square value produced a value of 0.297, meaning that the correlation of all independent variables consisting of Debt to Equity Ratio, Debt to Asset Ratio, and Current Ratio to the dependent variable, namely financial performance, was 29.7% while the remaining 70.3% was influenced by other factors that were not included in this research model.
Keywords: Debt to Equity Ratio, Debt To Equity Ratio, Current Ratio, Financial Performance
Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh parsial dan simultan dari Debt to Equity Ratio, Debt to Asset Ratio dan Current Ratio terhadap Kinerja Keuangan pada Perusahaan Sub Sektor Perbankan yang Terdaftar di Bursa Efek Indonesia. Jumlah sampel penduduk 48 perusahaan dan sampel 15 perusahaan dikalikan 3 tahun observasi 2022-2024 menjadi 45 sampel. Namun, dari 40 sampel tersebut, ditemukan 3 sampel dari pengamatan outlier sehingga dieliminasi sebagai sampel, kemudian diperoleh data sebanyak 42 sampel. Analisis data menggunakan Regresi Linier Berganda. Hasil uji t, sebagian Debt to Equity Ratio berpengaruh positif terhadap kinerja keuangan dengan nilai thitung 2,331 > ttabel 2,022 dan signifikansi 0,025 < 0,05. Debt to Asset Ratio berpengaruh negatif terhadap Kinerja Keuangan dengan nilai -thitung (-3,120) < -ttable (-2,022) dengan nilai signifikansi 0,003 < 0,05. Sementara itu, Current Ratio berpengaruh negatif terhadap kinerja keuangan dengan nilai -thitung (-3,498) < -ttable (-2,022) dengan nilai signifikansi 0,001 < 0,05. Sementara itu, hasil Uji F secara simultan menunjukkan bahwa variabel Debt to Equity Ratio, Debt to Asset Ratio, dan Current Ratio berpengaruh terhadap Kinerja Keuangan dengan nilai Perhitungan 6,768 > 2,85 F dan nilai signifikansi 0,001 < 0,005. Uji R2, nilai R Square yang Disesuaikan menghasilkan nilai 0,297, artinya korelasi seluruh variabel independen yang terdiri dari Debt to Equity Ratio, Debt to Asset Ratio, dan Current Ratio terhadap variabel dependen yaitu kinerja keuangan sebesar 29,7% sedangkan sisanya 70,3% dipengaruhi oleh faktor lain yang tidak termasuk dalam model penelitian ini.
Kata kunci: Rasio Utang Terhadap Ekuitas, Rasio Utang Terhadap Ekuitas, Rasio Lancar, Kinerja Keuangan
Abstract:Abstract: Air quality is a critical environmental issue that directly affects public health and urban sustainability. This study aims to develop an air quality classification model using the Decision Tree algorithm based…
on key pollutant parameters such as PM₁₀, PM₂.₅, SO₂, CO, NO₂, and O₃, and to evaluate its contribution to the achievement of the Sustainable Development Goals (SDGs). The dataset was obtained from air quality monitoring in Jakarta during 2021 and underwent preprocessing stages including data cleaning and feature selection. The model was tested across various training-testing ratios, with the highest accuracy of 97.50% achieved at a 60:40 ratio. Performance evaluation showed precision, recall, and F1-score values above 97%, with PM₂.₅ and PM₁₀ identified as the most influential attributes in classification. The Decision Tree model was chosen for its ability to produce accurate results while remaining interpretable. The classification outcomes can be utilized in early warning systems, public education, and data-driven policymaking. These findings support the achievement of SDG 3 (Good Health and Well-Being), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action).
Keywords: Air Quality; Decision Tree; pollution; SDG; Classification.
Abstrak: Kualitas udara merupakan isu lingkungan krusial yang berdampak langsung pada kesehatan masyarakat dan keberlanjutan kota. Penelitian ini bertujuan mengembangkan model klasifikasi kualitas udara menggunakan algoritma Decision Tree berdasarkan parameter polutan utama seperti PM₁₀, PM₂.₅, SO₂, CO, NO₂, dan O₃, serta menganalisis kontribusinya terhadap pencapaian Tujuan Pembangunan Berkelanjutan (SDGs). Data yang digunakan berasal dari pemantauan kualitas udara di Jakarta tahun 2021 dan telah melalui tahap pra-pemrosesan, termasuk pembersihan data dan seleksi fitur. Model diuji pada berbagai rasio data latih dan uji, dengan akurasi tertinggi sebesar 97,50% pada rasio 60:40. Evaluasi performa menunjukkan nilai presisi, recall, dan F1-score di atas 97%, dengan PM₂.₅ dan PM₁₀ sebagai atribut paling berpengaruh dalam klasifikasi. Model Decision Tree dipilih karena kemampuannya dalam menghasilkan output yang akurat sekaligus mudah diinterpretasikan. Hasil klasifikasi ini berpotensi digunakan dalam sistem peringatan dini, edukasi masyarakat, dan pengambilan kebijakan berbasis data. Temuan ini mendukung pencapaian SDG 3 (kehidupan sehat dan sejahtera), SDG 11 (kota dan permukiman yang berkelanjutan), serta SDG 13 (penanganan perubahan iklim).
Kata kunci: Kualitas Udara; Decision Tree; Polutan; SDGs; Klasifikasi.
Abstract:Abstract: This study aims to analyze the role of work motivation in mediating the influence of human resource training and development on employee performance. This study used a quantitative approach with descriptive and…
verification methods. Data were obtained through questionnaires distributed to respondents and analyzed using regression and mediation tests. The results showed that human resource training and development had a positive and significant effect on employee performance and work motivation. Furthermore, work motivation also positively influenced employee performance and mediated the relationship between human resource training and development and employee performance. The findings of this study indicate that improved employee performance is not only influenced by increased competency through training but also by employee work motivation. Therefore, organizations need to implement human resource management strategies that simultaneously improve competency and work motivation to achieve optimal performance.
Keywords: training and development, work motivation, employee performance.
Abstrak: Penelitian ini bertujuan untuk menganalisis peran motivasi kerja dalam memediasi pengaruh pelatihan dan pengembangan sumber daya manusia terhadap kinerja karyawan. Penelitian ini menggunakan pendekatan kuantitatif dengan metode deskriptif dan verifikatif. Data diperoleh melalui penyebaran kuesioner kepada responden dan dianalisis menggunakan uji regresi serta uji mediasi. Hasil penelitian menunjukkan bahwa pelatihan dan pengembangan sumber daya manusia berpengaruh positif dan signifikan terhadap kinerja karyawan serta motivasi kerja. Selain itu, motivasi kerja juga berpengaruh positif terhadap kinerja karyawan dan mampu memediasi hubungan antara pelatihan dan pengembangan sumber daya manusia terhadap kinerja karyawan. Temuan penelitian ini menunjukkan bahwa peningkatan kinerja karyawan tidak hanya dipengaruhi oleh peningkatan kompetensi melalui pelatihan, tetapi juga dipengaruhi oleh motivasi kerja yang dimiliki karyawan. Oleh karena itu, organisasi perlu menerapkan strategi pengelolaan sumber daya manusia yang mampu meningkatkan kompetensi dan motivasi kerja secara bersamaan guna mencapai kinerja yang optimal.
Kata kunci: pelatihan dan pengembangan, motivasi kerja, kinerja karyawan.
Abstract:Abstract: This study explored nursing students’ perceptions of using ChatGPT in learning English for Nursing Purposes at Universitas Klabat. As English proficiency is essential for understanding medical terminology, academic…
ademic nursing literature, clinical documentation, and patient communication, nursing students need language support that is relevant to their professional field. This study employed a qualitative research design using a phenomenological approach to understand students’ lived experiences with ChatGPT as an AI-assisted learning tool. Data were collected through semi-structured interviews with nursing students who had experience using ChatGPT for English learning activities. The data were analyzed using thematic analysis following Braun and Clarke’s six-step framework. The findings revealed four major themes from 8 informants interview. First, students experienced ChatGPT as an accessible learning companion that supported their understanding of nursing vocabulary, medical terminology, English articles, grammar, academic writing, and patient communication. Second, ChatGPT provided efficiency and empowerment by helping students access information quickly, complete academic tasks more easily, and increase their confidence in using English. Third, students recognized limitations and risks, including inaccurate responses, inappropriate translations, fabricated references, technical constraints, and possible dependence on AI. Fourth, students developed a more critical and responsible approach by verifying AI-generated information, using trusted references, improving prompt quality, and avoiding direct copy-paste practices. Overall, the study concludes that ChatGPT can be a useful supplementary tool for learning English in nursing education when used critically, ethically, and in combination with reliable academic sources.
Keywords: ChatGPT, English for Nursing Purposes, nursing students, artificial intelligence, phenomenology, English language learning
Abstrak: Penelitian ini bertujuan untuk mengeksplorasi persepsi mahasiswa keperawatan terhadap penggunaan ChatGPT dalam pembelajaran English for Nursing Purposes di Universitas Klabat. Kemampuan berbahasa Inggris sangat penting bagi mahasiswa keperawatan karena berkaitan dengan pemahaman istilah medis, literatur akademik keperawatan, dokumentasi klinis, serta komunikasi dengan pasien. Penelitian ini menggunakan desain kualitatif dengan pendekatan fenomenologi untuk memahami pengalaman hidup mahasiswa dalam menggunakan ChatGPT sebagai alat bantu pembelajaran berbasis kecerdasan buatan. Data dikumpulkan melalui wawancara semi-terstruktur dengan mahasiswa keperawatan yang memiliki pengalaman menggunakan ChatGPT dalam kegiatan pembelajaran bahasa Inggris. Data dianalisis menggunakan analisis tematik berdasarkan enam tahapan Braun dan Clarke. Hasil penelitian menunjukkan empat tema utama. Pertama, mahasiswa memandang ChatGPT sebagai pendamping belajar yang mudah diakses, terutama dalam memahami kosakata keperawatan, istilah medis, artikel berbahasa Inggris, tata bahasa, penulisan akademik, dan persiapan komunikasi dengan pasien. Kedua, ChatGPT memberikan efisiensi dan pemberdayaan karena membantu mahasiswa memperoleh informasi dengan cepat, menyelesaikan tugas akademik dengan lebih mudah, dan meningkatkan kepercayaan diri dalam menggunakan bahasa Inggris. Ketiga, mahasiswa menyadari adanya keterbatasan dan risiko, seperti jawaban yang kurang akurat, terjemahan yang tidak sesuai, referensi yang tidak dapat ditemukan, kendala teknis, serta kemungkinan ketergantungan pada AI. Keempat, mahasiswa mengembangkan penggunaan ChatGPT yang lebih kritis dan bertanggung jawab melalui verifikasi informasi, penggunaan sumber terpercaya, penyusunan prompt yang lebih jelas, dan menghindari praktik menyalin jawaban secara langsung. Penelitian ini menyimpulkan bahwa ChatGPT dapat menjadi alat bantu tambahan yang bermanfaat dalam pembelajaran bahasa Inggris keperawatan apabila digunakan secara kritis, etis, dan dikombinasikan dengan sumber akademik yang terpercaya.
Kata kunci: ChatGPT, English for Nursing Purposes, mahasiswa keperawatan, kecerdasan buatan, fenomenologi, pembelajaran bahasa Inggris
Abstract:Abstract: This study aims to evaluate the effectiveness of an industry based Technical Vocational Education and Training (TVET) curriculum through the enhancement of link-and-match programs, technological innovation, and…
strategic industry engagement. A Systematic Literature Review (SLR) approach was employed following the PRISMA 2020 guidelines. Data were collected from reputable databases, including Scopus, Web of Science (WoS), Google Scholar, and Crossref, covering publications from the last ten years. An initial search identified approximately 500 articles, which were subsequently screened through the stages of identification, screening, eligibility, and inclusion, resulting in 20 high-quality and relevant studies. The selected articles served as the foundation for developing a conceptual evaluation model and operationalizing the research variables. Furthermore, Structural Equation Modeling–Partial Least Squares (SEM-PLS) was utilized to examine the relationships among strategic industry engagement, technological innovation, link-and-match programs, and TVET curriculum effectiveness. The findings reveal that strategic industry engagement contributes 42.1%, technological innovation 35.6%, and link-and-match programs 39.4% to curriculum effectiveness, with a coefficient of determination (R²) of 74.2%, indicating strong explanatory power. These results highlight that sustained industry collaboration, adaptive technological integration, and systematic implementation of link-and-match initiatives are critical factors in enhancing curriculum relevance and graduate employability. This study provides both theoretical and practical insights for developing responsive, sustainable, and industry-aligned TVET curricula capable of addressing the evolving demands of the modern workforce.
Keywords: TVET Curriculum Evaluation, Industry Engagement, Technological Innovation Link and Match Program, Curriculum Effectiveness.
Abstrak: Penelitian ini bertujuan mengevaluasi efektivitas kurikulum Technical Vocational Education and Training (TVET) berbasis industri melalui penguatan program link and match, inovasi teknologi, dan keterlibatan strategis industri. Penelitian menggunakan pendekatan Systematic Literature Review (SLR) berdasarkan pedoman PRISMA 2020. Data diperoleh dari basis data Scopus, Web of Science (WoS), Google Scholar, dan Crossref dengan rentang publikasi sepuluh tahun terakhir. Dari sekitar 500 artikel yang teridentifikasi, proses seleksi melalui tahapan identifikasi, penyaringan, kelayakan, dan inklusi menghasilkan 20 artikel utama yang relevan dan berkualitas. Temuan kajian literatur digunakan untuk membangun model konseptual evaluasi kurikulum TVET berbasis industri serta operasionalisasi variabel penelitian. Analisis dilakukan menggunakan Structural Equation Modeling–Partial Least Squares (SEM-PLS) untuk menguji pengaruh keterlibatan strategis industri, inovasi teknologi, dan program link and match terhadap efektivitas kurikulum TVET. Hasil penelitian menunjukkan bahwa keterlibatan strategis industri memberikan kontribusi sebesar 42,1%, inovasi teknologi sebesar 35,6%, dan program link and match sebesar 39,4%, dengan nilai koefisien determinasi (R²) sebesar 74,2%. Temuan ini menegaskan bahwa kolaborasi industri yang berkelanjutan, integrasi teknologi yang adaptif, dan implementasi link and match yang sistematis merupakan faktor utama dalam meningkatkan relevansi kurikulum serta kesiapan lulusan menghadapi kebutuhan industri modern.
Kata kunci: Evaluasi Kurikulum TVET Berbasis Industri, Penguatan Link and Match Inovasi Teknologi, Keterlibatan Strategi Industri.
Abstract:Flash floods in the Kuranji Watershed area, Kuranji District, Padang City, have had a significant impact on the agricultural system, aquatic environment, and socio-economic conditions of the community. This study aims to…
analyze the condition of the agricultural system and aquatic environment after the flash flood, identify internal and external factors, and formulate adaptation strategies based on a SWOT analysis. The study used a mixed methods approach with a survey method through observation, interviews, and questionnaires distributed to 100 respondents determined using the Slovin formula. Data analysis was carried out using the IFAS matrix, EFAS, and SWOT quadrants. The results showed that flash floods caused increased damage to agricultural land, disruption of irrigation systems, decreased agricultural productivity, high river sedimentation, and decreased quality of the aquatic environment. The main strengths include the availability of water resources and community experience in the agricultural sector, while the main weaknesses are high river sedimentation and damage to the irrigation system. Opportunities come from government support and watershed rehabilitation programs, while the main threats are high rainfall and recurring floods. The results of the SWOT analysis indicate that the strategy is positioned in Quadrant III (turnaround strategy). Recommended priority strategies include watershed rehabilitation, river normalization, sedimentation control, irrigation system improvement, and strengthening community capacity in disaster mitigation.
Abstract:This study aims to analyze the role of Community Service Program (KKN) students in developing a community-based creative economy at the Class II-B Penitentiary in Padangsidimpuan City. The background of this study is based…
ed on the importance of empowering inmates through productive activities that can improve skills, independence, and economic opportunities after the correctional period. The research method used was a qualitative approach with data collection techniques through observation, interviews, and documentation. The research subjects included KKN students, prison officers, and inmates involved in the creative economy program. The results showed that KKN students acted as facilitators, motivators, and mentors in developing creative economy activities, such as handicraft training, simple product processing, and digital-based marketing. The program implemented was able to improve the technical skills and self-confidence of inmates, although there were still obstacles such as limited facilities, market access, and program sustainability. Therefore, synergy is needed between the prison, universities, and relevant stakeholders to support the development of a sustainable creative economy.
Abstract:This study aims to analyze and predict the level of the Human Development Index (HDI) using the Artificial Neural Network (ANN) method with the Perceptron algorithm. The problem underlying this research is the large amount…
nt of data and the numerous variables affecting HDI, making manual analysis less effective and time-consuming. The data used in this study include Life Expectancy at Birth, Expected Years of Schooling, Mean Years of Schooling, and Adjusted Expenditure per Capita. The research was conducted using Human Development Index data obtained from the Family Information System (SIGAThe dataset was divided into training data and testing data to evaluate the model's ability to predict HDI levels into two categories, namely high and low. The system was developed using the PHP programming language and MySQL database and was designed using Unified Modeling Language (UML).The results of this study indicate that the Artificial Neural Network method with the Perceptron algorithm is capable of predicting Human Development Index levels effectively based on the available data. The Perceptron model was able to recognize the relationship patterns among Life Expectancy at Birth, Expected Years of Schooling, Mean Years of Schooling, and Adjusted Expenditure per Capita variables with HDI levels. The testing results produced a final Mean Squared Error (MSE) value of 0.141227 with an accuracy rate of 80.00% after the training process stopped at the 115th epoch with a learning rate of 0.1. The developed system can assist in the analysis and prediction of human development levels and can be used as a decision-support tool in human development planning.